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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1702.04645 | Benjamin Chi\^em | Benjamin Chi\^em, Andine Havelange, Paul Van Dooren | A parallel implementation of the Synchronised Louvain method | 20 pages | null | null | null | cs.DS cs.DC cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Community detection in networks is a very actual and important field of
research with applications in many areas. But, given that the amount of
processed data increases more and more, existing algorithms need to be adapted
for very large graphs. The objective of this project was to parallelise the
Synchronised Louvai... | [
{
"created": "Wed, 15 Feb 2017 15:09:15 GMT",
"version": "v1"
}
] | 2017-02-16 | [
[
"Chiêm",
"Benjamin",
""
],
[
"Havelange",
"Andine",
""
],
[
"Van Dooren",
"Paul",
""
]
] | Community detection in networks is a very actual and important field of research with applications in many areas. But, given that the amount of processed data increases more and more, existing algorithms need to be adapted for very large graphs. The objective of this project was to parallelise the Synchronised Louvain ... |
1606.08135 | Xu Zhiqiang | Bing Gao, Zhiqiang Xu | Phaseless Rcovery using Gauss-Newton Method | 16 pages | IEEE Trans. Signal Processing. VOL. 65, NO. 22, NOVEMBER 15, 2017 | 10.1109/TSP.2017.2742981 | null | cs.IT math.IT math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we develop a concrete algorithm for phase retrieval, which we
refer to as Gauss-Newton algorithm. In short, this algorithm starts with a good
initial estimation, which is obtained by a modified spectral method, and then
update the iteration point by a Gauss-Newton iteration step. We prove that a
re-sam... | [
{
"created": "Mon, 27 Jun 2016 06:22:45 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Jul 2016 06:40:37 GMT",
"version": "v2"
},
{
"created": "Fri, 9 Feb 2018 01:24:31 GMT",
"version": "v3"
}
] | 2018-02-12 | [
[
"Gao",
"Bing",
""
],
[
"Xu",
"Zhiqiang",
""
]
] | In this paper, we develop a concrete algorithm for phase retrieval, which we refer to as Gauss-Newton algorithm. In short, this algorithm starts with a good initial estimation, which is obtained by a modified spectral method, and then update the iteration point by a Gauss-Newton iteration step. We prove that a re-sampl... |
2312.16183 | Luca Pantea | Milena Kapralova, Luca Pantea and Andrei Blahovici | LightGCN: Evaluated and Enhanced | Accepted at NeurIPS'23 Workshop on New in ML; 3 pages, 2 figures, 3
tables | null | null | null | cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper analyses LightGCN in the context of graph recommendation
algorithms. Despite the initial design of Graph Convolutional Networks for
graph classification, the non-linear operations are not always essential.
LightGCN enables linear propagation of embeddings, enhancing performance. We
reproduce the original f... | [
{
"created": "Sun, 17 Dec 2023 15:18:18 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Kapralova",
"Milena",
""
],
[
"Pantea",
"Luca",
""
],
[
"Blahovici",
"Andrei",
""
]
] | This paper analyses LightGCN in the context of graph recommendation algorithms. Despite the initial design of Graph Convolutional Networks for graph classification, the non-linear operations are not always essential. LightGCN enables linear propagation of embeddings, enhancing performance. We reproduce the original fin... |
1805.04157 | Stephen Bonner | Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al
Moubayed, Toby P. Breckon | On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional
Neural Networks | Accepted as a full paper at the 2018 IEEE International Conference on
Systems, Man, and Cybernetics (SMC2018) | null | 10.1109/SMC.2018.00631 | null | cs.HC eess.SP q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel Convolutional Neural Network (CNN) approach
for the classification of raw dry-EEG signals without any data pre-processing.
To illustrate the effectiveness of our approach, we utilise the Steady State
Visual Evoked Potential (SSVEP) paradigm as our use case. SSVEP can be utilised
to a... | [
{
"created": "Thu, 10 May 2018 20:10:02 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Aug 2018 09:47:21 GMT",
"version": "v2"
}
] | 2019-01-23 | [
[
"Aznan",
"Nik Khadijah Nik",
""
],
[
"Bonner",
"Stephen",
""
],
[
"Connolly",
"Jason D.",
""
],
[
"Moubayed",
"Noura Al",
""
],
[
"Breckon",
"Toby P.",
""
]
] | In this paper, we propose a novel Convolutional Neural Network (CNN) approach for the classification of raw dry-EEG signals without any data pre-processing. To illustrate the effectiveness of our approach, we utilise the Steady State Visual Evoked Potential (SSVEP) paradigm as our use case. SSVEP can be utilised to all... |
2111.10663 | Xingqin Lin | Xingqin Lin, Mingzhe Chen, Henrik Ryd\'en, Jaeseong Jeong, Heunchul
Lee, M{\aa}rten Sundberg, Roy Timo, Hazhir S. Razaghi, H. Vincent Poor | Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G
Evolution towards 6G | 7 pages, 5 figures, 1 table; submitted for publication | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cellular networks, such as 5G systems, are becoming increasingly complex for
supporting various deployment scenarios and applications. Embracing artificial
intelligence (AI) in 5G evolution is critical to managing the complexity and
fueling the next quantum leap in 6G cellular networks. In this article, we
share our ... | [
{
"created": "Sat, 20 Nov 2021 19:16:58 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Lin",
"Xingqin",
""
],
[
"Chen",
"Mingzhe",
""
],
[
"Rydén",
"Henrik",
""
],
[
"Jeong",
"Jaeseong",
""
],
[
"Lee",
"Heunchul",
""
],
[
"Sundberg",
"Mårten",
""
],
[
"Timo",
"Roy",
""
],
[
"Razaghi"... | Cellular networks, such as 5G systems, are becoming increasingly complex for supporting various deployment scenarios and applications. Embracing artificial intelligence (AI) in 5G evolution is critical to managing the complexity and fueling the next quantum leap in 6G cellular networks. In this article, we share our ex... |
2212.05410 | Junwei Su | Junwei Su | ABC: Aggregation before Communication, a Communication Reduction
Framework for Distributed Graph Neural Network Training and Effective
Partition | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | Graph Neural Networks(GNNs) are a family of neural models tailored for
graph-structure data and have shown superior performance in learning
representations for graph-structured data. However, training GNNs on large
graphs remains challenging and a promising direction is distributed GNN
training, which is to partition... | [
{
"created": "Sun, 11 Dec 2022 04:54:01 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Su",
"Junwei",
""
]
] | Graph Neural Networks(GNNs) are a family of neural models tailored for graph-structure data and have shown superior performance in learning representations for graph-structured data. However, training GNNs on large graphs remains challenging and a promising direction is distributed GNN training, which is to partition t... |
1606.03639 | Mohamed Mohamed M.Sc. | Mohamed Seif, Tamer Elbatt, and Karim G. Seddik | Sparse Spectrum Sensing in Infrastructure-less Cognitive Radio Networks
via Binary Consensus Algorithms | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compressive Sensing has been utilized in Cognitive Radio Networks (CRNs) to
exploit the sparse nature of the occupation of the primary users. Also,
distributed spectrum sensing has been proposed to tackle the wireless channel
problems, like node or link failures, rather than the common (centralized
approach) for spec... | [
{
"created": "Sat, 11 Jun 2016 22:49:53 GMT",
"version": "v1"
}
] | 2016-06-14 | [
[
"Seif",
"Mohamed",
""
],
[
"Elbatt",
"Tamer",
""
],
[
"Seddik",
"Karim G.",
""
]
] | Compressive Sensing has been utilized in Cognitive Radio Networks (CRNs) to exploit the sparse nature of the occupation of the primary users. Also, distributed spectrum sensing has been proposed to tackle the wireless channel problems, like node or link failures, rather than the common (centralized approach) for spectr... |
2110.09069 | Prashanth Amireddy | Prashanth Amireddy and Chetan Sai Digumarthi | Diameter constrained Steiner tree and related problems | 13 pages, 4 figures | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give a dynamic programming solution to find the minimum cost of a diameter
constrained Steiner tree in case of directed graphs. Then we show a simple
reduction from undirected version to the directed version to realize an
algorithm of similar complexity i.e, FPT in number of terminal vertices. Other
natural varian... | [
{
"created": "Mon, 18 Oct 2021 07:31:16 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Oct 2021 07:43:04 GMT",
"version": "v2"
}
] | 2021-10-20 | [
[
"Amireddy",
"Prashanth",
""
],
[
"Digumarthi",
"Chetan Sai",
""
]
] | We give a dynamic programming solution to find the minimum cost of a diameter constrained Steiner tree in case of directed graphs. Then we show a simple reduction from undirected version to the directed version to realize an algorithm of similar complexity i.e, FPT in number of terminal vertices. Other natural variants... |
1907.06399 | Vanessa Pe\~na-Araya | Vanessa Pe\~na-Araya, Emmanuel Pietriga, Anastasia Bezerianos | A Comparison of Visualizations for Identifying Correlation over Space
and Time | Accepted for presentation at IEEE VIS 2019, to be held October 20-25
in Vancouver, Canada; will be published in a special issue of IEEE
Transactions on Visualization and Computer Graphics (TVCG) | null | 10.1109/TVCG.2019.2934807 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Observing the relationship between two or more variables over space and time
is essential in many domains. For instance, looking, for different countries,
at the evolution of both the life expectancy at birth and the fertility rate
will give an overview of their demographics. The choice of visual
representation for s... | [
{
"created": "Mon, 15 Jul 2019 09:49:47 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Oct 2019 13:16:26 GMT",
"version": "v2"
}
] | 2019-10-16 | [
[
"Peña-Araya",
"Vanessa",
""
],
[
"Pietriga",
"Emmanuel",
""
],
[
"Bezerianos",
"Anastasia",
""
]
] | Observing the relationship between two or more variables over space and time is essential in many domains. For instance, looking, for different countries, at the evolution of both the life expectancy at birth and the fertility rate will give an overview of their demographics. The choice of visual representation for suc... |
2302.12422 | Chen Wang | Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei
Xu, Yuke Zhu, Anima Anandkumar | MimicPlay: Long-Horizon Imitation Learning by Watching Human Play | 7th Conference on Robot Learning (CoRL 2023 oral presentation) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Imitation learning from human demonstrations is a promising paradigm for
teaching robots manipulation skills in the real world. However, learning
complex long-horizon tasks often requires an unattainable amount of
demonstrations. To reduce the high data requirement, we resort to human play
data - video sequences of p... | [
{
"created": "Fri, 24 Feb 2023 02:54:15 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Oct 2023 05:44:37 GMT",
"version": "v2"
}
] | 2023-10-16 | [
[
"Wang",
"Chen",
""
],
[
"Fan",
"Linxi",
""
],
[
"Sun",
"Jiankai",
""
],
[
"Zhang",
"Ruohan",
""
],
[
"Fei-Fei",
"Li",
""
],
[
"Xu",
"Danfei",
""
],
[
"Zhu",
"Yuke",
""
],
[
"Anandkumar",
"Anima"... | Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world. However, learning complex long-horizon tasks often requires an unattainable amount of demonstrations. To reduce the high data requirement, we resort to human play data - video sequences of peo... |
2206.06934 | Tyler Cody | Tyler Cody | A Layered Reference Model for Penetration Testing with Reinforcement
Learning and Attack Graphs | null | null | null | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers key challenges to using reinforcement learning (RL) with
attack graphs to automate penetration testing in real-world applications from a
systems perspective. RL approaches to automated penetration testing are
actively being developed, but there is no consensus view on the representation
of comput... | [
{
"created": "Tue, 14 Jun 2022 15:53:33 GMT",
"version": "v1"
}
] | 2022-06-15 | [
[
"Cody",
"Tyler",
""
]
] | This paper considers key challenges to using reinforcement learning (RL) with attack graphs to automate penetration testing in real-world applications from a systems perspective. RL approaches to automated penetration testing are actively being developed, but there is no consensus view on the representation of computer... |
1802.09808 | Marian-Andrei Rizoiu | Marian-Andrei Rizoiu and Timothy Graham and Rui Zhang and Yifei Zhang
and Robert Ackland and Lexing Xie | #DebateNight: The Role and Influence of Socialbots on Twitter During the
1st 2016 U.S. Presidential Debate | null | 12th International AAAI Conference on Web and Social Media (ICWSM
2018) | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Serious concerns have been raised about the role of 'socialbots' in
manipulating public opinion and influencing the outcome of elections by
retweeting partisan content to increase its reach. Here we analyze the role and
influence of socialbots on Twitter by determining how they contribute to
retweet diffusions. We co... | [
{
"created": "Tue, 27 Feb 2018 10:23:46 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Apr 2018 12:36:39 GMT",
"version": "v2"
},
{
"created": "Thu, 17 May 2018 01:35:13 GMT",
"version": "v3"
}
] | 2018-05-18 | [
[
"Rizoiu",
"Marian-Andrei",
""
],
[
"Graham",
"Timothy",
""
],
[
"Zhang",
"Rui",
""
],
[
"Zhang",
"Yifei",
""
],
[
"Ackland",
"Robert",
""
],
[
"Xie",
"Lexing",
""
]
] | Serious concerns have been raised about the role of 'socialbots' in manipulating public opinion and influencing the outcome of elections by retweeting partisan content to increase its reach. Here we analyze the role and influence of socialbots on Twitter by determining how they contribute to retweet diffusions. We coll... |
1712.05667 | Thomas Franssen | Rodrigo Costas, Jeroen van Honk, Thomas Franssen | Scholars on Twitter: who and how many are they? | Conference Paper, International Conference on Scientometrics and
Informetrics, 2017, Wuhan, China | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present a novel methodology for identifying scholars with a
Twitter account. By combining bibliometric data from Web of Science and Twitter
users identified by Altmetric.com we have obtained the largest set of
individual scholars matched with Twitter users made so far. Our methodology
consists of a c... | [
{
"created": "Fri, 15 Dec 2017 13:42:01 GMT",
"version": "v1"
}
] | 2017-12-18 | [
[
"Costas",
"Rodrigo",
""
],
[
"van Honk",
"Jeroen",
""
],
[
"Franssen",
"Thomas",
""
]
] | In this paper we present a novel methodology for identifying scholars with a Twitter account. By combining bibliometric data from Web of Science and Twitter users identified by Altmetric.com we have obtained the largest set of individual scholars matched with Twitter users made so far. Our methodology consists of a com... |
2208.09439 | Soham Deshmukh | Soham Deshmukh, Charles Lee | Adapting Task-Oriented Dialogue Models for Email Conversations | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Intent detection is a key part of any Natural Language Understanding (NLU)
system of a conversational assistant. Detecting the correct intent is essential
yet difficult for email conversations where multiple directives and intents are
present. In such settings, conversation context can become a key disambiguating
fac... | [
{
"created": "Fri, 19 Aug 2022 16:41:34 GMT",
"version": "v1"
}
] | 2022-08-22 | [
[
"Deshmukh",
"Soham",
""
],
[
"Lee",
"Charles",
""
]
] | Intent detection is a key part of any Natural Language Understanding (NLU) system of a conversational assistant. Detecting the correct intent is essential yet difficult for email conversations where multiple directives and intents are present. In such settings, conversation context can become a key disambiguating facto... |
1409.5557 | Eric Tramel | Eric W. Tramel and Santhosh Kumar and Andrei Giurgiu and Andrea
Montanari | Statistical Estimation: From Denoising to Sparse Regression and Hidden
Cliques | Chapter of "Statistical Physics, Optimization, Inference, and
Message-Passing Algorithms", Eds.: F. Krzakala, F. Ricci-Tersenghi, L.
Zdeborova, R. Zecchina, E. W. Tramel, L. F. Cugliandolo (Oxford University
Press, to appear) | null | null | null | cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | These notes review six lectures given by Prof. Andrea Montanari on the topic
of statistical estimation for linear models. The first two lectures cover the
principles of signal recovery from linear measurements in terms of minimax
risk. Subsequent lectures demonstrate the application of these principles to
several pra... | [
{
"created": "Fri, 19 Sep 2014 09:00:20 GMT",
"version": "v1"
}
] | 2014-09-22 | [
[
"Tramel",
"Eric W.",
""
],
[
"Kumar",
"Santhosh",
""
],
[
"Giurgiu",
"Andrei",
""
],
[
"Montanari",
"Andrea",
""
]
] | These notes review six lectures given by Prof. Andrea Montanari on the topic of statistical estimation for linear models. The first two lectures cover the principles of signal recovery from linear measurements in terms of minimax risk. Subsequent lectures demonstrate the application of these principles to several pract... |
1812.06799 | Warit Sirichotedumrong | Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya | Grayscale-Based Image Encryption Considering Color Sub-sampling
Operation for Encryption-then-Compression Systems | Accepted in 2018 IEEE 7th Global Conference on Consumer Electronics
(GCCE 2018). arXiv admin note: text overlap with arXiv:1810.13067 | null | null | null | cs.CR cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new grayscale-based block scrambling image encryption scheme is presented
to enhance the security of Encryption-then-Compression (EtC) systems, which are
used to securely transmit images through an untrusted channel provider. The
proposed scheme enables the use of a smaller block size and a larger number of
blocks ... | [
{
"created": "Fri, 14 Dec 2018 05:15:25 GMT",
"version": "v1"
}
] | 2018-12-18 | [
[
"Sirichotedumrong",
"Warit",
""
],
[
"Chuman",
"Tatsuya",
""
],
[
"Kiya",
"Hitoshi",
""
]
] | A new grayscale-based block scrambling image encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems, which are used to securely transmit images through an untrusted channel provider. The proposed scheme enables the use of a smaller block size and a larger number of blocks th... |
2108.06981 | Umberto Cerruti | Umberto Cerruti | One Time Pad and the Short Key Dream | 30 pages, 7 figures To appear in a next volume of the book series
Collectio Ciphrarum,
http://www.aracneeditrice.it/aracneweb/index.php/collana.html?col=CIPH | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This is a survey on the One Time Pad (OTP) and its derivatives, from its
origins to modern times. OTP, if used correctly, is (the only) cryptographic
code that no computing power, present or future, can break. Naturally, the
discussion shifts to the creation of long random sequences, starting from short
ones, which c... | [
{
"created": "Mon, 16 Aug 2021 09:19:42 GMT",
"version": "v1"
}
] | 2021-08-17 | [
[
"Cerruti",
"Umberto",
""
]
] | This is a survey on the One Time Pad (OTP) and its derivatives, from its origins to modern times. OTP, if used correctly, is (the only) cryptographic code that no computing power, present or future, can break. Naturally, the discussion shifts to the creation of long random sequences, starting from short ones, which can... |
2208.03320 | Kalifou Ren\'e Traor\'e | Kalifou Ren\'e Traor\'e, Andr\'es Camero, Xiao Xiang Zhu | HPO: We won't get fooled again | Accepted at the Late-Breaking Workshop Track of AutoML Conference
2022 | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Hyperparameter optimization (HPO) is a well-studied research field. However,
the effects and interactions of the components in an HPO pipeline are not yet
well investigated. Then, we ask ourselves: can the landscape of HPO be biased
by the pipeline used to evaluate individual configurations? To address this
question,... | [
{
"created": "Thu, 4 Aug 2022 22:00:42 GMT",
"version": "v1"
}
] | 2022-08-09 | [
[
"Traoré",
"Kalifou René",
""
],
[
"Camero",
"Andrés",
""
],
[
"Zhu",
"Xiao Xiang",
""
]
] | Hyperparameter optimization (HPO) is a well-studied research field. However, the effects and interactions of the components in an HPO pipeline are not yet well investigated. Then, we ask ourselves: can the landscape of HPO be biased by the pipeline used to evaluate individual configurations? To address this question, w... |
1310.6011 | Yue Lu | Pier Luigi Dragotti and Yue M. Lu | On Sparse Representation in Fourier and Local Bases | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the classical problem of finding the sparse representation of a
signal in a pair of bases. When both bases are orthogonal, it is known that the
sparse representation is unique when the sparsity $K$ of the signal satisfies
$K<1/\mu(D)$, where $\mu(D)$ is the mutual coherence of the dictionary.
Furthermore,... | [
{
"created": "Tue, 22 Oct 2013 18:56:34 GMT",
"version": "v1"
},
{
"created": "Fri, 30 May 2014 14:56:13 GMT",
"version": "v2"
}
] | 2014-06-02 | [
[
"Dragotti",
"Pier Luigi",
""
],
[
"Lu",
"Yue M.",
""
]
] | We consider the classical problem of finding the sparse representation of a signal in a pair of bases. When both bases are orthogonal, it is known that the sparse representation is unique when the sparsity $K$ of the signal satisfies $K<1/\mu(D)$, where $\mu(D)$ is the mutual coherence of the dictionary. Furthermore, t... |
2212.07903 | Juntao Jiang | Juntao Jiang, Yuan Niu, Yi Tao | The First IEEE UV2022 Mathematical Modelling Competition: Backgrounds
and Problems | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Economic growth, people's health, and urban development face challenges in
the post-epidemic era. How to promote high-quality and sustainable urban
development, improve citizens' sense of happiness, and solve problems in city
management have become a heated and crucial topic. Mathematical modeling is a
research metho... | [
{
"created": "Thu, 15 Dec 2022 15:37:17 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Jul 2023 20:11:26 GMT",
"version": "v2"
}
] | 2023-07-11 | [
[
"Jiang",
"Juntao",
""
],
[
"Niu",
"Yuan",
""
],
[
"Tao",
"Yi",
""
]
] | Economic growth, people's health, and urban development face challenges in the post-epidemic era. How to promote high-quality and sustainable urban development, improve citizens' sense of happiness, and solve problems in city management have become a heated and crucial topic. Mathematical modeling is a research method ... |
1803.08605 | Minxian Xu | Minxian Xu, Adel Nadjaran Toosi, Rajkumar Buyya | iBrownout: An Integrated Approach for Managing Energy and Brownout in
Container-based Clouds | 14 pages, in press | IEEE Transactions on Sustainable Computing, 2018 | 10.1109/TSUSC.2018.2808493 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Energy consumption of Cloud data centers has been a major concern of many
researchers, and one of the reasons for huge energy consumption of Clouds lies
in the inefficient utilization of computing resources. Besides energy
consumption, another challenge of data centers is the unexpected loads, which
leads to the over... | [
{
"created": "Thu, 22 Mar 2018 23:03:34 GMT",
"version": "v1"
}
] | 2018-03-26 | [
[
"Xu",
"Minxian",
""
],
[
"Toosi",
"Adel Nadjaran",
""
],
[
"Buyya",
"Rajkumar",
""
]
] | Energy consumption of Cloud data centers has been a major concern of many researchers, and one of the reasons for huge energy consumption of Clouds lies in the inefficient utilization of computing resources. Besides energy consumption, another challenge of data centers is the unexpected loads, which leads to the overlo... |
1601.03483 | Renato Cordeiro De Amorim | Renato Cordeiro de Amorim | A survey on feature weighting based K-Means algorithms | Journal of Classification (to appear) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a real-world data set there is always the possibility, rather high in our
opinion, that different features may have different degrees of relevance. Most
machine learning algorithms deal with this fact by either selecting or
deselecting features in the data preprocessing phase. However, we maintain that
even among ... | [
{
"created": "Tue, 22 Sep 2015 08:46:39 GMT",
"version": "v1"
}
] | 2016-01-15 | [
[
"de Amorim",
"Renato Cordeiro",
""
]
] | In a real-world data set there is always the possibility, rather high in our opinion, that different features may have different degrees of relevance. Most machine learning algorithms deal with this fact by either selecting or deselecting features in the data preprocessing phase. However, we maintain that even among re... |
2212.01748 | Brae Webb | Mark Utting, Brae J. Webb, Ian J. Hayes | Differential Testing of a Verification Framework for Compiler
Optimizations (Experience Paper) | 8 pages, 6 figures | null | null | null | cs.LO cs.PL cs.SE | http://creativecommons.org/licenses/by/4.0/ | We want to verify the correctness of optimization phases in the GraalVM
compiler, which consist of many thousands of lines of complex Java code
performing sophisticated graph transformations. We have built high-level models
of the data structures and operations of the code using the Isabelle/HOL
theorem prover, and c... | [
{
"created": "Sun, 4 Dec 2022 06:14:55 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Utting",
"Mark",
""
],
[
"Webb",
"Brae J.",
""
],
[
"Hayes",
"Ian J.",
""
]
] | We want to verify the correctness of optimization phases in the GraalVM compiler, which consist of many thousands of lines of complex Java code performing sophisticated graph transformations. We have built high-level models of the data structures and operations of the code using the Isabelle/HOL theorem prover, and can... |
2401.10037 | Ido Zuckerman | Ido Zuckerman, Nicole Werner, Jonathan Kouchly, Emma Huston, Shannon
DiMarco, Paul DiMusto, Shlomi Laufer | Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth
Camera | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Purpose: In this paper, we present a novel approach to the automatic
evaluation of open surgery skills using depth cameras. This work is intended to
show that depth cameras achieve similar results to RGB cameras, which is the
common method in the automatic evaluation of open surgery skills. Moreover,
depth cameras of... | [
{
"created": "Thu, 18 Jan 2024 15:00:28 GMT",
"version": "v1"
}
] | 2024-01-19 | [
[
"Zuckerman",
"Ido",
""
],
[
"Werner",
"Nicole",
""
],
[
"Kouchly",
"Jonathan",
""
],
[
"Huston",
"Emma",
""
],
[
"DiMarco",
"Shannon",
""
],
[
"DiMusto",
"Paul",
""
],
[
"Laufer",
"Shlomi",
""
]
] | Purpose: In this paper, we present a novel approach to the automatic evaluation of open surgery skills using depth cameras. This work is intended to show that depth cameras achieve similar results to RGB cameras, which is the common method in the automatic evaluation of open surgery skills. Moreover, depth cameras offe... |
1907.07833 | Fernando Granha Jeronimo | Vedat Levi Alev, Fernando Granha Jeronimo, Madhur Tulsiani | Approximating Constraint Satisfaction Problems on High-Dimensional
Expanders | null | null | null | null | cs.DS cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of approximately solving constraint satisfaction
problems with arity $k > 2$ ($k$-CSPs) on instances satisfying certain
expansion properties, when viewed as hypergraphs. Random instances of $k$-CSPs,
which are also highly expanding, are well-known to be hard to approximate using
known algorith... | [
{
"created": "Thu, 18 Jul 2019 01:31:52 GMT",
"version": "v1"
}
] | 2019-07-19 | [
[
"Alev",
"Vedat Levi",
""
],
[
"Jeronimo",
"Fernando Granha",
""
],
[
"Tulsiani",
"Madhur",
""
]
] | We consider the problem of approximately solving constraint satisfaction problems with arity $k > 2$ ($k$-CSPs) on instances satisfying certain expansion properties, when viewed as hypergraphs. Random instances of $k$-CSPs, which are also highly expanding, are well-known to be hard to approximate using known algorithmi... |
2404.11016 | Jiayang Li | Jiayang Li, Junjun Jiang, Pengwei Liang and Jiayi Ma | MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders
for Infrared and Visible Image Fusion via Guided Training | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this research, we introduce MaeFuse, a novel autoencoder model designed
for infrared and visible image fusion (IVIF). The existing approaches for image
fusion often rely on training combined with downstream tasks to obtain
high-level visual information, which is effective in emphasizing target objects
and deliveri... | [
{
"created": "Wed, 17 Apr 2024 02:47:39 GMT",
"version": "v1"
}
] | 2024-04-18 | [
[
"Li",
"Jiayang",
""
],
[
"Jiang",
"Junjun",
""
],
[
"Liang",
"Pengwei",
""
],
[
"Ma",
"Jiayi",
""
]
] | In this research, we introduce MaeFuse, a novel autoencoder model designed for infrared and visible image fusion (IVIF). The existing approaches for image fusion often rely on training combined with downstream tasks to obtain high-level visual information, which is effective in emphasizing target objects and delivering... |
1710.05781 | Zhuang Chijie | Chijie Zhuang, Yong Zhang, Xin Zhou, Rong Zeng, Jinliang He and Lei
Liu | A Fast Tree Algorithm for Electric Field Calculation in Electrical
Discharge Simulations | null | null | 10.1109/TMAG.2017.2756991 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The simulation of electrical discharges has been attracting a great deal of
attention. In such simulations, the electric field computation dominates the
computational time. In this paper, we propose a fast tree algorithm that helps
to reduce the time complexity from $O(N^2)$ (from using direct summation) to
$O(N\log ... | [
{
"created": "Mon, 16 Oct 2017 15:24:12 GMT",
"version": "v1"
}
] | 2018-07-04 | [
[
"Zhuang",
"Chijie",
""
],
[
"Zhang",
"Yong",
""
],
[
"Zhou",
"Xin",
""
],
[
"Zeng",
"Rong",
""
],
[
"He",
"Jinliang",
""
],
[
"Liu",
"Lei",
""
]
] | The simulation of electrical discharges has been attracting a great deal of attention. In such simulations, the electric field computation dominates the computational time. In this paper, we propose a fast tree algorithm that helps to reduce the time complexity from $O(N^2)$ (from using direct summation) to $O(N\log N)... |
2312.11285 | Xijun Wang | Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruiming Hu, Xinbo
Gao | Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent
Diffusion Model | Accepted by AAAI 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial attacks involve adding perturbations to the source image to cause
misclassification by the target model, which demonstrates the potential of
attacking face recognition models. Existing adversarial face image generation
methods still can't achieve satisfactory performance because of low
transferability and... | [
{
"created": "Mon, 18 Dec 2023 15:25:23 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Dec 2023 07:58:00 GMT",
"version": "v2"
}
] | 2023-12-29 | [
[
"Liu",
"Decheng",
""
],
[
"Wang",
"Xijun",
""
],
[
"Peng",
"Chunlei",
""
],
[
"Wang",
"Nannan",
""
],
[
"Hu",
"Ruiming",
""
],
[
"Gao",
"Xinbo",
""
]
] | Adversarial attacks involve adding perturbations to the source image to cause misclassification by the target model, which demonstrates the potential of attacking face recognition models. Existing adversarial face image generation methods still can't achieve satisfactory performance because of low transferability and h... |
2404.13432 | Andrey Rudenko | Irina Rudenko, Andrey Rudenko, Achim J. Lilienthal, Kai O. Arras,
Barbara Bruno | The Child Factor in Child-Robot Interaction: Discovering the Impact of
Developmental Stage and Individual Characteristics | Pre-print submitted to the International Journal of Social Robotics,
accepted March 2024 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Social robots, owing to their embodied physical presence in human spaces and
the ability to directly interact with the users and their environment, have a
great potential to support children in various activities in education,
healthcare and daily life. Child-Robot Interaction (CRI), as any domain
involving children,... | [
{
"created": "Sat, 20 Apr 2024 17:44:07 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Rudenko",
"Irina",
""
],
[
"Rudenko",
"Andrey",
""
],
[
"Lilienthal",
"Achim J.",
""
],
[
"Arras",
"Kai O.",
""
],
[
"Bruno",
"Barbara",
""
]
] | Social robots, owing to their embodied physical presence in human spaces and the ability to directly interact with the users and their environment, have a great potential to support children in various activities in education, healthcare and daily life. Child-Robot Interaction (CRI), as any domain involving children, i... |
2002.09320 | Adnan Darwiche | Adnan Darwiche | An Advance on Variable Elimination with Applications to Tensor-Based
Computation | To Appear in Proceedings of the European Conference on Artificial
Intelligence (ECAI), Spain, 2020 | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present new results on the classical algorithm of variable elimination,
which underlies many algorithms including for probabilistic inference. The
results relate to exploiting functional dependencies, allowing one to perform
inference and learning efficiently on models that have very large treewidth.
The highlight... | [
{
"created": "Fri, 21 Feb 2020 14:17:44 GMT",
"version": "v1"
}
] | 2020-04-21 | [
[
"Darwiche",
"Adnan",
""
]
] | We present new results on the classical algorithm of variable elimination, which underlies many algorithms including for probabilistic inference. The results relate to exploiting functional dependencies, allowing one to perform inference and learning efficiently on models that have very large treewidth. The highlight o... |
1907.08228 | Indira Sen | Indira Sen, Fabian Floeck, Katrin Weller, Bernd Weiss, Claudia Wagner | TED-On: A Total Error Framework for Digital Traces of Human Behavior on
Online Platforms | 20 pages, 2 figures, Longer version of paper set to appear in Public
Opinion Quarterly. Updating terminology | null | null | null | cs.CY cs.HC cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Peoples' activities and opinions recorded as digital traces online,
especially on social media and other web-based platforms, offer increasingly
informative pictures of the public. They promise to allow inferences about
populations beyond the users of the platforms on which the traces are recorded,
representing real ... | [
{
"created": "Thu, 18 Jul 2019 18:18:48 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Sep 2019 16:42:26 GMT",
"version": "v2"
},
{
"created": "Thu, 5 Dec 2019 18:03:44 GMT",
"version": "v3"
},
{
"created": "Thu, 3 Jun 2021 16:52:11 GMT",
"version": "v4"
}
] | 2021-06-04 | [
[
"Sen",
"Indira",
""
],
[
"Floeck",
"Fabian",
""
],
[
"Weller",
"Katrin",
""
],
[
"Weiss",
"Bernd",
""
],
[
"Wagner",
"Claudia",
""
]
] | Peoples' activities and opinions recorded as digital traces online, especially on social media and other web-based platforms, offer increasingly informative pictures of the public. They promise to allow inferences about populations beyond the users of the platforms on which the traces are recorded, representing real po... |
2005.02061 | Roman Walch | Alexandros Bampoulidis and Alessandro Bruni and Lukas Helminger and
Daniel Kales and Christian Rechberger and Roman Walch | Privately Connecting Mobility to Infectious Diseases via Applied
Cryptography | Accepted at PoPETs 2022 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown that cell phone mobility data has the unique potential
to create accurate models for human mobility and consequently the spread of
infected diseases. While prior studies have exclusively relied on a mobile
network operator's subscribers' aggregated data in modelling disease dynamics,
it may be p... | [
{
"created": "Tue, 5 May 2020 10:59:30 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Oct 2020 14:31:57 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Jan 2021 10:27:37 GMT",
"version": "v3"
},
{
"created": "Mon, 13 Jun 2022 11:19:49 GMT",
"version": "v4"
}
] | 2022-06-14 | [
[
"Bampoulidis",
"Alexandros",
""
],
[
"Bruni",
"Alessandro",
""
],
[
"Helminger",
"Lukas",
""
],
[
"Kales",
"Daniel",
""
],
[
"Rechberger",
"Christian",
""
],
[
"Walch",
"Roman",
""
]
] | Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases. While prior studies have exclusively relied on a mobile network operator's subscribers' aggregated data in modelling disease dynamics, it may be pre... |
2302.00868 | Hojeong Lee | Hojeong Lee, Minseon Gwak, Kawon Lee, Minjeong Kim, Joseph Konan and
Ojas Bhargave | Speech Enhancement for Virtual Meetings on Cellular Networks | null | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | We study speech enhancement using deep learning (DL) for virtual meetings on
cellular devices, where transmitted speech has background noise and
transmission loss that affects speech quality. Since the Deep Noise Suppression
(DNS) Challenge dataset does not contain practical disturbance, we collect a
transmitted DNS ... | [
{
"created": "Thu, 2 Feb 2023 04:35:48 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Feb 2023 17:12:35 GMT",
"version": "v2"
}
] | 2023-02-17 | [
[
"Lee",
"Hojeong",
""
],
[
"Gwak",
"Minseon",
""
],
[
"Lee",
"Kawon",
""
],
[
"Kim",
"Minjeong",
""
],
[
"Konan",
"Joseph",
""
],
[
"Bhargave",
"Ojas",
""
]
] | We study speech enhancement using deep learning (DL) for virtual meetings on cellular devices, where transmitted speech has background noise and transmission loss that affects speech quality. Since the Deep Noise Suppression (DNS) Challenge dataset does not contain practical disturbance, we collect a transmitted DNS (t... |
1801.08329 | Siddique Latif | Muhammad Usman, Siddique Latif and Junaid Qadir | Using Deep Autoencoders for Facial Expression Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature descriptors involved in image processing are generally manually
chosen and high dimensional in nature. Selecting the most important features is
a very crucial task for systems like facial expression recognition. This paper
investigates the performance of deep autoencoders for feature selection and
dimension r... | [
{
"created": "Thu, 25 Jan 2018 10:06:01 GMT",
"version": "v1"
}
] | 2018-01-26 | [
[
"Usman",
"Muhammad",
""
],
[
"Latif",
"Siddique",
""
],
[
"Qadir",
"Junaid",
""
]
] | Feature descriptors involved in image processing are generally manually chosen and high dimensional in nature. Selecting the most important features is a very crucial task for systems like facial expression recognition. This paper investigates the performance of deep autoencoders for feature selection and dimension red... |
2002.00718 | Fabio Cermelli | Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bul\`o, Elisa Ricci,
Barbara Caputo | Modeling the Background for Incremental Learning in Semantic
Segmentation | Accepted at CVPR 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite their effectiveness in a wide range of tasks, deep architectures
suffer from some important limitations. In particular, they are vulnerable to
catastrophic forgetting, i.e. they perform poorly when they are required to
update their model as new classes are available but the original training set
is not retain... | [
{
"created": "Mon, 3 Feb 2020 13:30:38 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Mar 2020 14:01:26 GMT",
"version": "v2"
}
] | 2020-03-31 | [
[
"Cermelli",
"Fabio",
""
],
[
"Mancini",
"Massimiliano",
""
],
[
"Bulò",
"Samuel Rota",
""
],
[
"Ricci",
"Elisa",
""
],
[
"Caputo",
"Barbara",
""
]
] | Despite their effectiveness in a wide range of tasks, deep architectures suffer from some important limitations. In particular, they are vulnerable to catastrophic forgetting, i.e. they perform poorly when they are required to update their model as new classes are available but the original training set is not retained... |
2101.07314 | Takuma Yagi | Takuma Yagi, Takumi Nishiyasu, Kunimasa Kawasaki, Moe Matsuki, Yoichi
Sato | GO-Finder: A Registration-Free Wearable System for Assisting Users in
Finding Lost Objects via Hand-Held Object Discovery | 13 pages, 13 figures, ACM IUI 2021 | null | 10.1145/3397481.3450664 | null | cs.HC cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | People spend an enormous amount of time and effort looking for lost objects.
To help remind people of the location of lost objects, various computational
systems that provide information on their locations have been developed.
However, prior systems for assisting people in finding objects require users to
register th... | [
{
"created": "Mon, 18 Jan 2021 20:04:56 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Feb 2021 11:16:44 GMT",
"version": "v2"
}
] | 2021-02-15 | [
[
"Yagi",
"Takuma",
""
],
[
"Nishiyasu",
"Takumi",
""
],
[
"Kawasaki",
"Kunimasa",
""
],
[
"Matsuki",
"Moe",
""
],
[
"Sato",
"Yoichi",
""
]
] | People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, various computational systems that provide information on their locations have been developed. However, prior systems for assisting people in finding objects require users to register the ... |
2101.04035 | Jesse Josua Benjamin | Jesse Josua Benjamin, Arne Berger, Nick Merrill, James Pierce | Machine Learning Uncertainty as a Design Material: A
Post-Phenomenological Inquiry | Accepted to ACM 2021 CHI Conference on Human Factors in Computing
Systems (CHI 2021) | null | 10.1145/3411764.3445481 | null | cs.HC cs.CY cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Design research is important for understanding and interrogating how emerging
technologies shape human experience. However, design research with Machine
Learning (ML) is relatively underdeveloped. Crucially, designers have not found
a grasp on ML uncertainty as a design opportunity rather than an obstacle. The
techni... | [
{
"created": "Mon, 11 Jan 2021 17:11:19 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Benjamin",
"Jesse Josua",
""
],
[
"Berger",
"Arne",
""
],
[
"Merrill",
"Nick",
""
],
[
"Pierce",
"James",
""
]
] | Design research is important for understanding and interrogating how emerging technologies shape human experience. However, design research with Machine Learning (ML) is relatively underdeveloped. Crucially, designers have not found a grasp on ML uncertainty as a design opportunity rather than an obstacle. The technica... |
1106.5489 | Gilberto Pastorello | Gilberto Z. Pastorello, G. Arturo Sanchez-Azofeifa and Mario A.
Nascimento | A Review of the Enviro-Net Project | v2: 29 pages, 5 figures, reflects changes addressing reviewers'
comments v1: 38 pages, 8 figures | G. Z. Pastorello, G. A. Sanchez-Azofeifa, M. A. Nascimento.
Enviro-Net: From Networks of Ground-Based Sensor Systems to a Web Platform
for Sensor Data Management. Sensors. 2011; 11(6):6454-6479 | 10.3390/s110606454 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ecosystems monitoring is essential to properly understand their development
and the effects of events, both climatological and anthropological in nature.
The amount of data used in these assessments is increasing at very high rates.
This is due to increasing availability of sensing systems and the development
of new ... | [
{
"created": "Mon, 27 Jun 2011 18:55:39 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Jun 2011 18:44:43 GMT",
"version": "v2"
}
] | 2011-07-01 | [
[
"Pastorello",
"Gilberto Z.",
""
],
[
"Sanchez-Azofeifa",
"G. Arturo",
""
],
[
"Nascimento",
"Mario A.",
""
]
] | Ecosystems monitoring is essential to properly understand their development and the effects of events, both climatological and anthropological in nature. The amount of data used in these assessments is increasing at very high rates. This is due to increasing availability of sensing systems and the development of new te... |
2407.11253 | Xinling Yu | Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino,
Thomas Van Vaerenbergh, Zheng Zhang | Separable Operator Networks | SepONet version 2. This revised version polishes writing and open
sources code. The initial version was submitted to arXiv on July 15, 2024 | null | null | null | cs.LG cs.CE | http://creativecommons.org/licenses/by-sa/4.0/ | Operator learning has become a powerful tool in machine learning for modeling
complex physical systems governed by partial differential equations (PDEs).
Although Deep Operator Networks (DeepONet) show promise, they require extensive
data acquisition. Physics-informed DeepONets (PI-DeepONet) mitigate data
scarcity bu... | [
{
"created": "Mon, 15 Jul 2024 21:43:41 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2024 07:08:49 GMT",
"version": "v2"
}
] | 2024-08-14 | [
[
"Yu",
"Xinling",
""
],
[
"Hooten",
"Sean",
""
],
[
"Liu",
"Ziyue",
""
],
[
"Zhao",
"Yequan",
""
],
[
"Fiorentino",
"Marco",
""
],
[
"Van Vaerenbergh",
"Thomas",
""
],
[
"Zhang",
"Zheng",
""
]
] | Operator learning has become a powerful tool in machine learning for modeling complex physical systems governed by partial differential equations (PDEs). Although Deep Operator Networks (DeepONet) show promise, they require extensive data acquisition. Physics-informed DeepONets (PI-DeepONet) mitigate data scarcity but ... |
1006.3159 | Alexandre Chapoutot | Olivier Bouissou (LMeASI), Yassamine Seladji (LMeASI), Alexandre
Chapoutot (LIP6) | Abstract Fixpoint Computations with Numerical Acceleration Methods | null | Electronic Notes in Theoretical Computer Science (2010) 29-42 | 10.1016/j.entcs.2010.09.004 | null | cs.PL cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Static analysis by abstract interpretation aims at automatically proving
properties of computer programs. To do this, an over-approximation of program
semantics, defined as the least fixpoint of a system of semantic equations,
must be computed. To enforce the convergence of this computation, widening
operator is used... | [
{
"created": "Wed, 16 Jun 2010 08:39:12 GMT",
"version": "v1"
}
] | 2013-05-02 | [
[
"Bouissou",
"Olivier",
"",
"LMeASI"
],
[
"Seladji",
"Yassamine",
"",
"LMeASI"
],
[
"Chapoutot",
"Alexandre",
"",
"LIP6"
]
] | Static analysis by abstract interpretation aims at automatically proving properties of computer programs. To do this, an over-approximation of program semantics, defined as the least fixpoint of a system of semantic equations, must be computed. To enforce the convergence of this computation, widening operator is used b... |
2003.02227 | Hsiu-Chin Lin | Hsiu-Chin Lin and Michael Mistry | Contact Surface Estimation via Haptic Perception | Accepted for publications in IEEE International Conference on
Robotics and Automation, 2020 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Legged systems need to optimize contact force in order to maintain contacts.
For this, the controller needs to have the knowledge of the surface geometry
and how slippery the terrain is. We can use a vision system to realize the
terrain, but the accuracy of the vision system degrades in harsh weather, and
it cannot v... | [
{
"created": "Wed, 4 Mar 2020 18:15:05 GMT",
"version": "v1"
}
] | 2020-03-05 | [
[
"Lin",
"Hsiu-Chin",
""
],
[
"Mistry",
"Michael",
""
]
] | Legged systems need to optimize contact force in order to maintain contacts. For this, the controller needs to have the knowledge of the surface geometry and how slippery the terrain is. We can use a vision system to realize the terrain, but the accuracy of the vision system degrades in harsh weather, and it cannot vis... |
2311.14838 | Nikolay Bogoychev Dr | Nikolay Bogoychev, Jelmer van der Linde, Graeme Nail, Barry Haddow,
Jaume Zaragoza-Bernabeu, Gema Ram\'irez-S\'anchez, Lukas Weymann, Tudor
Nicolae Mateiu, Jind\v{r}ich Helcl, Mikko Aulamo | OpusCleaner and OpusTrainer, open source toolkits for training Machine
Translation and Large language models | Code on Github: https://github.com/hplt-project/OpusCleaner and
https://github.com/hplt-project/OpusTrainer | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Developing high quality machine translation systems is a labour intensive,
challenging and confusing process for newcomers to the field. We present a pair
of tools OpusCleaner and OpusTrainer that aim to simplify the process, reduce
the amount of work and lower the entry barrier for newcomers.
OpusCleaner is a data... | [
{
"created": "Fri, 24 Nov 2023 20:24:00 GMT",
"version": "v1"
}
] | 2023-11-28 | [
[
"Bogoychev",
"Nikolay",
""
],
[
"van der Linde",
"Jelmer",
""
],
[
"Nail",
"Graeme",
""
],
[
"Haddow",
"Barry",
""
],
[
"Zaragoza-Bernabeu",
"Jaume",
""
],
[
"Ramírez-Sánchez",
"Gema",
""
],
[
"Weymann",
"Lukas... | Developing high quality machine translation systems is a labour intensive, challenging and confusing process for newcomers to the field. We present a pair of tools OpusCleaner and OpusTrainer that aim to simplify the process, reduce the amount of work and lower the entry barrier for newcomers. OpusCleaner is a data dow... |
2406.06618 | Shuo Yu | Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu
Chetty | PANDORA: Deep graph learning based COVID-19 infection risk level
forecasting | null | null | null | null | cs.SI cs.AI cs.CY cs.LG physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | COVID-19 as a global pandemic causes a massive disruption to social stability
that threatens human life and the economy. Policymakers and all elements of
society must deliver measurable actions based on the pandemic's severity to
minimize the detrimental impact of COVID-19. A proper forecasting system is
arguably imp... | [
{
"created": "Fri, 7 Jun 2024 07:27:22 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Yu",
"Shuo",
""
],
[
"Xia",
"Feng",
""
],
[
"Wang",
"Yueru",
""
],
[
"Li",
"Shihao",
""
],
[
"Febrinanto",
"Falih",
""
],
[
"Chetty",
"Madhu",
""
]
] | COVID-19 as a global pandemic causes a massive disruption to social stability that threatens human life and the economy. Policymakers and all elements of society must deliver measurable actions based on the pandemic's severity to minimize the detrimental impact of COVID-19. A proper forecasting system is arguably impor... |
1603.03495 | Pengfei Lu | Pengfei Lu, Zhenqiang Wu | Continuous Molecular Communication in one dimensional situation | 4pages, 6figures, this paper is acccepted by ISEEE 2016 | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Molecular Communication as the most potential methods to solve the
communication in nano scale, for it's derived from nature, and it becomes more
and more prevalent. Though molecular communication happens in three dimensional
situation, there are also some situation that are in the one dimensional
situation, especial... | [
{
"created": "Fri, 11 Mar 2016 00:40:01 GMT",
"version": "v1"
}
] | 2016-03-14 | [
[
"Lu",
"Pengfei",
""
],
[
"Wu",
"Zhenqiang",
""
]
] | Molecular Communication as the most potential methods to solve the communication in nano scale, for it's derived from nature, and it becomes more and more prevalent. Though molecular communication happens in three dimensional situation, there are also some situation that are in the one dimensional situation, especially... |
2004.14979 | Vered Shwartz | Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan | Paraphrasing vs Coreferring: Two Sides of the Same Coin | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the potential synergy between two different NLP tasks, both
confronting predicate lexical variability: identifying predicate paraphrases,
and event coreference resolution. First, we used annotations from an event
coreference dataset as distant supervision to re-score heuristically-extracted
predicate paraphr... | [
{
"created": "Thu, 30 Apr 2020 17:29:17 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Oct 2020 16:48:36 GMT",
"version": "v2"
}
] | 2020-10-12 | [
[
"Meged",
"Yehudit",
""
],
[
"Caciularu",
"Avi",
""
],
[
"Shwartz",
"Vered",
""
],
[
"Dagan",
"Ido",
""
]
] | We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphras... |
2406.05141 | Quentin Japhet | Quentin Japhet (DAVID), Dimitri Watel (IP Paris, SAMOVAR, SOP -
SAMOVAR, ENSIIE), Dominique Barth (DAVID), Marc-Antoine Weisser (GALaC) | Maximal Line Digraphs | null | null | null | null | cs.DM cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A line digraph $L(G) = (A, E)$ is the digraph constructed from the digraph $G
= (V, A)$ such that there is an arc $(a,b)$ in $L(G)$ if the terminal node of
$a$ in $G$ is the initial node of $b$. The maximum number of arcs in a line
digraph with $m$ nodes is $(m/2)^2 + (m/2)$ if $m$ is even, and $((m - 1)/2)^2
+ m - 1... | [
{
"created": "Mon, 27 May 2024 08:45:34 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2024 07:00:29 GMT",
"version": "v2"
}
] | 2024-06-13 | [
[
"Japhet",
"Quentin",
"",
"DAVID"
],
[
"Watel",
"Dimitri",
"",
"IP Paris, SAMOVAR, SOP -\n SAMOVAR, ENSIIE"
],
[
"Barth",
"Dominique",
"",
"DAVID"
],
[
"Weisser",
"Marc-Antoine",
"",
"GALaC"
]
] | A line digraph $L(G) = (A, E)$ is the digraph constructed from the digraph $G = (V, A)$ such that there is an arc $(a,b)$ in $L(G)$ if the terminal node of $a$ in $G$ is the initial node of $b$. The maximum number of arcs in a line digraph with $m$ nodes is $(m/2)^2 + (m/2)$ if $m$ is even, and $((m - 1)/2)^2 + m - 1$ ... |
1605.00372 | Ching-Chi Lin | Ching-Chi Lin and Cheng-Yu Hsieh | A Linear-Time Algorithm for the Weighted Paired-Domination Problem on
Block Graphs | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a graph $G = (V,E)$, a vertex subset $S\subseteq V(G)$ is said to be a
dominating set of $G$ if every vertex not in $S$ is adjacent to a vertex in
$S$. A dominating set $S$ of $G$ is called a paired-dominating set of $G$ if
the induced subgraph $G[S]$ contains a perfect matching. In this paper, we
propose an $O(n+... | [
{
"created": "Mon, 2 May 2016 07:19:17 GMT",
"version": "v1"
}
] | 2016-05-03 | [
[
"Lin",
"Ching-Chi",
""
],
[
"Hsieh",
"Cheng-Yu",
""
]
] | In a graph $G = (V,E)$, a vertex subset $S\subseteq V(G)$ is said to be a dominating set of $G$ if every vertex not in $S$ is adjacent to a vertex in $S$. A dominating set $S$ of $G$ is called a paired-dominating set of $G$ if the induced subgraph $G[S]$ contains a perfect matching. In this paper, we propose an $O(n+m)... |
1903.01180 | Huanneng Qiu | Huanneng Qiu, Matthew Garratt, David Howard and Sreenatha Anavatti | Evolving Spiking Neural Networks for Nonlinear Control Problems | conference: ssci 2018 | null | 10.1109/SSCI.2018.8628848 | null | cs.NE cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spiking Neural Networks are powerful computational modelling tools that have
attracted much interest because of the bioinspired modelling of synaptic
interactions between neurons. Most of the research employing spiking neurons
has been non-behavioural and discontinuous. Comparatively, this paper presents
a recurrent ... | [
{
"created": "Mon, 4 Mar 2019 11:30:53 GMT",
"version": "v1"
}
] | 2019-03-05 | [
[
"Qiu",
"Huanneng",
""
],
[
"Garratt",
"Matthew",
""
],
[
"Howard",
"David",
""
],
[
"Anavatti",
"Sreenatha",
""
]
] | Spiking Neural Networks are powerful computational modelling tools that have attracted much interest because of the bioinspired modelling of synaptic interactions between neurons. Most of the research employing spiking neurons has been non-behavioural and discontinuous. Comparatively, this paper presents a recurrent sp... |
1704.07699 | Lucia Ballerini | Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdes-Hernandez,
Joel Ramirez, Bradley J. MacIntosh, Sandra E. Black and Joanna M. Wardlaw | Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering | null | null | 10.1038/s41598-018-19781-5 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel
Disease (SVD), also indicating neuroinflammation, and are an important part of
the brain's circulation and glymphatic drainage system. Quantitative analysis
of PVS on Magnetic Resonance Images (MRI) is important for understanding their
relati... | [
{
"created": "Tue, 25 Apr 2017 14:02:06 GMT",
"version": "v1"
}
] | 2018-04-13 | [
[
"Ballerini",
"Lucia",
""
],
[
"Lovreglio",
"Ruggiero",
""
],
[
"Valdes-Hernandez",
"Maria del C.",
""
],
[
"Ramirez",
"Joel",
""
],
[
"MacIntosh",
"Bradley J.",
""
],
[
"Black",
"Sandra E.",
""
],
[
"Wardlaw",
... | Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel Disease (SVD), also indicating neuroinflammation, and are an important part of the brain's circulation and glymphatic drainage system. Quantitative analysis of PVS on Magnetic Resonance Images (MRI) is important for understanding their relation... |
2209.00865 | Lemeng Wu | Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu | Diffusion-based Molecule Generation with Informative Prior Bridges | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AI-based molecule generation provides a promising approach to a large area of
biomedical sciences and engineering, such as antibody design, hydrolase
engineering, or vaccine development. Because the molecules are governed by
physical laws, a key challenge is to incorporate prior information into the
training procedur... | [
{
"created": "Fri, 2 Sep 2022 07:52:06 GMT",
"version": "v1"
}
] | 2022-09-05 | [
[
"Wu",
"Lemeng",
""
],
[
"Gong",
"Chengyue",
""
],
[
"Liu",
"Xingchao",
""
],
[
"Ye",
"Mao",
""
],
[
"Liu",
"Qiang",
""
]
] | AI-based molecule generation provides a promising approach to a large area of biomedical sciences and engineering, such as antibody design, hydrolase engineering, or vaccine development. Because the molecules are governed by physical laws, a key challenge is to incorporate prior information into the training procedure ... |
2304.05451 | Eduardo Noboro Tominaga | Eduardo Noboro Tominaga, Onel Luiz Alcaraz L\'opez, Hirley Alves,
Richard Demo Souza and Leonardo Ter\c{c}as | Performance Analysis of Centralized and Distributed Massive MIMO for MTC | 6 pages, 8 figures. Paper accepted for presentation at the 2023 Joint
European Conference on Networks and Communications & 6G Summit (EuCNC/6G
Summit), Gothenburg, Sweden, 2023 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive Multiple-Input Multiple-Output (mMIMO) is one of the essential
technologies introduced by the Fifth Generation (5G) of wireless communication
systems. However, although mMIMO provides many benefits for wireless
communications, it cannot ensure uniform wireless coverage and suffers from
inter-cell interference... | [
{
"created": "Tue, 11 Apr 2023 18:51:16 GMT",
"version": "v1"
}
] | 2023-04-13 | [
[
"Tominaga",
"Eduardo Noboro",
""
],
[
"López",
"Onel Luiz Alcaraz",
""
],
[
"Alves",
"Hirley",
""
],
[
"Souza",
"Richard Demo",
""
],
[
"Terças",
"Leonardo",
""
]
] | Massive Multiple-Input Multiple-Output (mMIMO) is one of the essential technologies introduced by the Fifth Generation (5G) of wireless communication systems. However, although mMIMO provides many benefits for wireless communications, it cannot ensure uniform wireless coverage and suffers from inter-cell interference i... |
1703.09825 | Areej Alhothali | Areej Alhothali and Jesse Hoey | Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and
Distributed Word Representations | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose an extension to graph-based sentiment lexicon
induction methods by incorporating distributed and semantic word
representations in building the similarity graph to expand a three-dimensional
sentiment lexicon. We also implemented and evaluated the label propagation
using four different word r... | [
{
"created": "Tue, 28 Mar 2017 22:05:20 GMT",
"version": "v1"
}
] | 2017-03-30 | [
[
"Alhothali",
"Areej",
""
],
[
"Hoey",
"Jesse",
""
]
] | In this paper, we propose an extension to graph-based sentiment lexicon induction methods by incorporating distributed and semantic word representations in building the similarity graph to expand a three-dimensional sentiment lexicon. We also implemented and evaluated the label propagation using four different word rep... |
2404.14964 | Friedemann Zenke | Julia Gygax and Friedemann Zenke | Elucidating the theoretical underpinnings of surrogate gradient learning
in spiking neural networks | 25 pages, 7 figures + 3 supplementary figures | null | null | null | cs.NE q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Training spiking neural networks to approximate complex functions is
essential for studying information processing in the brain and neuromorphic
computing. Yet, the binary nature of spikes constitutes a challenge for direct
gradient-based training. To sidestep this problem, surrogate gradients have
proven empirically... | [
{
"created": "Tue, 23 Apr 2024 12:20:09 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Jun 2024 12:48:18 GMT",
"version": "v2"
}
] | 2024-06-07 | [
[
"Gygax",
"Julia",
""
],
[
"Zenke",
"Friedemann",
""
]
] | Training spiking neural networks to approximate complex functions is essential for studying information processing in the brain and neuromorphic computing. Yet, the binary nature of spikes constitutes a challenge for direct gradient-based training. To sidestep this problem, surrogate gradients have proven empirically s... |
2312.15636 | Feng Zhou | Feng Zhou, Jianqin Yin, Peiyang Li | Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose
Estimation | Accepted by AAAI24 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The "lifting from 2D pose" method has been the dominant approach to 3D Human
Pose Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose
estimators. Widely known, there exists a depth ambiguity problem when
estimating solely from 2D pose, where one 2D pose can be mapped to multiple 3D
poses. Intuit... | [
{
"created": "Mon, 25 Dec 2023 07:50:58 GMT",
"version": "v1"
}
] | 2023-12-27 | [
[
"Zhou",
"Feng",
""
],
[
"Yin",
"Jianqin",
""
],
[
"Li",
"Peiyang",
""
]
] | The "lifting from 2D pose" method has been the dominant approach to 3D Human Pose Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose estimators. Widely known, there exists a depth ambiguity problem when estimating solely from 2D pose, where one 2D pose can be mapped to multiple 3D poses. Intuitiv... |
2205.00308 | Yelena Mejova | Yelena Mejova, Jisun An, Gianmarco De Francisci Morales, Haewoon Kwak | Modeling Political Activism around Gun Debate via Social Media | null | ACM Transactions on Social Computing. 2022 | 10.1145/3532102 | null | cs.SI cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The United States have some of the highest rates of gun violence among
developed countries. Yet, there is a disagreement about the extent to which
firearms should be regulated. In this study, we employ social media signals to
examine the predictors of offline political activism, at both population and
individual leve... | [
{
"created": "Sat, 30 Apr 2022 17:17:08 GMT",
"version": "v1"
}
] | 2022-05-03 | [
[
"Mejova",
"Yelena",
""
],
[
"An",
"Jisun",
""
],
[
"Morales",
"Gianmarco De Francisci",
""
],
[
"Kwak",
"Haewoon",
""
]
] | The United States have some of the highest rates of gun violence among developed countries. Yet, there is a disagreement about the extent to which firearms should be regulated. In this study, we employ social media signals to examine the predictors of offline political activism, at both population and individual level.... |
2102.13340 | Parvaneh Asghari | Parvaneh Asghari and Seyyed Hamid Haj Seyyed Javadi | Lightweight Key-Dependent Dynamic S-Boxes based on Hyperelliptic Curve
for IoT Devices | in Persian language | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Security is one of the main issues in Internet of Things (IoT). Encryption
plays a curtail role in making these systems secure. Substitution Box (S-Box)
has an effective impact in block encryption methods. Due to the restricted
resource capacities of IoT nodes, providing a lightweight S-Box is a
challenging problem. ... | [
{
"created": "Fri, 26 Feb 2021 07:38:43 GMT",
"version": "v1"
}
] | 2021-03-01 | [
[
"Asghari",
"Parvaneh",
""
],
[
"Javadi",
"Seyyed Hamid Haj Seyyed",
""
]
] | Security is one of the main issues in Internet of Things (IoT). Encryption plays a curtail role in making these systems secure. Substitution Box (S-Box) has an effective impact in block encryption methods. Due to the restricted resource capacities of IoT nodes, providing a lightweight S-Box is a challenging problem. Th... |
2407.18715 | Peng Hao | Peng Hao, Xiaobing Wang, Yingying Jiang, Hanchao Jia, Xiaoshuai Hao | BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation | 9 pages, 3 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Scene Graph Generation (SGG) remains a challenging task due to its
compositional property. Previous approaches improve prediction efficiency by
learning in an end-to-end manner. However, these methods exhibit limited
performance as they assume unidirectional conditioning between entities and
predicates, leading to in... | [
{
"created": "Fri, 26 Jul 2024 13:02:48 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Hao",
"Peng",
""
],
[
"Wang",
"Xiaobing",
""
],
[
"Jiang",
"Yingying",
""
],
[
"Jia",
"Hanchao",
""
],
[
"Hao",
"Xiaoshuai",
""
]
] | Scene Graph Generation (SGG) remains a challenging task due to its compositional property. Previous approaches improve prediction efficiency by learning in an end-to-end manner. However, these methods exhibit limited performance as they assume unidirectional conditioning between entities and predicates, leading to insu... |
2403.17447 | Yingtao Shen | Yingtao Shen, Minqing Sun, Jie Zhao, An Zou | Chain of Compression: A Systematic Approach to Combinationally Compress
Convolutional Neural Networks | 10 pages, 15 figures | null | null | null | cs.LG cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional neural networks (CNNs) have achieved significant popularity,
but their computational and memory intensity poses challenges for
resource-constrained computing systems, particularly with the prerequisite of
real-time performance. To release this burden, model compression has become an
important research f... | [
{
"created": "Tue, 26 Mar 2024 07:26:00 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Shen",
"Yingtao",
""
],
[
"Sun",
"Minqing",
""
],
[
"Zhao",
"Jie",
""
],
[
"Zou",
"An",
""
]
] | Convolutional neural networks (CNNs) have achieved significant popularity, but their computational and memory intensity poses challenges for resource-constrained computing systems, particularly with the prerequisite of real-time performance. To release this burden, model compression has become an important research foc... |
2407.18420 | Alessio Mansutti | Christoph Haase, Alessio Mansutti, Amaury Pouly | On Polynomial-Time Decidability of k-Negations Fragments of First-Order
Theories | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a generic framework that provides sufficient conditions
for guaranteeing polynomial-time decidability of fixed-negation fragments of
first-order theories that adhere to certain fixed-parameter tractability
requirements. It enables deciding sentences of such theories with arbitrary
existential qu... | [
{
"created": "Thu, 25 Jul 2024 22:41:24 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Haase",
"Christoph",
""
],
[
"Mansutti",
"Alessio",
""
],
[
"Pouly",
"Amaury",
""
]
] | This paper introduces a generic framework that provides sufficient conditions for guaranteeing polynomial-time decidability of fixed-negation fragments of first-order theories that adhere to certain fixed-parameter tractability requirements. It enables deciding sentences of such theories with arbitrary existential quan... |
2003.01538 | M. G. Sarwar Murshed | Edward Verenich, Alvaro Velasquez, M.G. Sarwar Murshed, Faraz Hussain | FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints | 3 pages, 1 figure, conference | null | null | null | cs.DC cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The integration of artificial intelligence capabilities into modern software
systems is increasingly being simplified through the use of cloud-based machine
learning services and representational state transfer architecture design.
However, insufficient information regarding underlying model provenance and the
lack o... | [
{
"created": "Sat, 29 Feb 2020 18:51:09 GMT",
"version": "v1"
}
] | 2020-03-04 | [
[
"Verenich",
"Edward",
""
],
[
"Velasquez",
"Alvaro",
""
],
[
"Murshed",
"M. G. Sarwar",
""
],
[
"Hussain",
"Faraz",
""
]
] | The integration of artificial intelligence capabilities into modern software systems is increasingly being simplified through the use of cloud-based machine learning services and representational state transfer architecture design. However, insufficient information regarding underlying model provenance and the lack of ... |
2102.01540 | Sebastian Lamm | Demian Hespe, Sebastian Lamm, Christian Schorr | Targeted Branching for the Maximum Independent Set Problem | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding a maximum independent set is a fundamental NP-hard problem that is
used in many real-world applications. Given an unweighted graph, this problem
asks for a maximum cardinality set of pairwise non-adjacent vertices. Some of
the most successful algorithms for this problem are based on the
branch-and-bound or br... | [
{
"created": "Tue, 2 Feb 2021 15:09:18 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Mar 2021 14:59:30 GMT",
"version": "v2"
}
] | 2021-03-30 | [
[
"Hespe",
"Demian",
""
],
[
"Lamm",
"Sebastian",
""
],
[
"Schorr",
"Christian",
""
]
] | Finding a maximum independent set is a fundamental NP-hard problem that is used in many real-world applications. Given an unweighted graph, this problem asks for a maximum cardinality set of pairwise non-adjacent vertices. Some of the most successful algorithms for this problem are based on the branch-and-bound or bran... |
2105.06209 | Yingzhe He | Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu | DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep
Neural Networks | 16 pages, 10 figures, conference | null | null | null | cs.LG cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine unlearning has great significance in guaranteeing model security and
protecting user privacy. Additionally, many legal provisions clearly stipulate
that users have the right to demand model providers to delete their own data
from training set, that is, the right to be forgotten. The naive way of
unlearning da... | [
{
"created": "Thu, 13 May 2021 12:02:04 GMT",
"version": "v1"
}
] | 2021-05-14 | [
[
"He",
"Yingzhe",
""
],
[
"Meng",
"Guozhu",
""
],
[
"Chen",
"Kai",
""
],
[
"He",
"Jinwen",
""
],
[
"Hu",
"Xingbo",
""
]
] | Machine unlearning has great significance in guaranteeing model security and protecting user privacy. Additionally, many legal provisions clearly stipulate that users have the right to demand model providers to delete their own data from training set, that is, the right to be forgotten. The naive way of unlearning data... |
1911.12529 | Hwann-Tzong Chen | Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu | One-Shot Object Detection with Co-Attention and Co-Excitation | NeurIPS 2019 | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper aims to tackle the challenging problem of one-shot object
detection. Given a query image patch whose class label is not included in the
training data, the goal of the task is to detect all instances of the same
class in a target image. To this end, we develop a novel {\em co-attention and
co-excitation} (C... | [
{
"created": "Thu, 28 Nov 2019 05:14:23 GMT",
"version": "v1"
}
] | 2019-12-02 | [
[
"Hsieh",
"Ting-I",
""
],
[
"Lo",
"Yi-Chen",
""
],
[
"Chen",
"Hwann-Tzong",
""
],
[
"Liu",
"Tyng-Luh",
""
]
] | This paper aims to tackle the challenging problem of one-shot object detection. Given a query image patch whose class label is not included in the training data, the goal of the task is to detect all instances of the same class in a target image. To this end, we develop a novel {\em co-attention and co-excitation} (CoA... |
2010.03661 | Jakob Aungiers | Jakob Aungiers | Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep
Sequences | 6 pages, 6 figures, 2 equations, 3 tables | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Time series sequence prediction and modelling has proven to be a challenging
endeavor in real world datasets. Two key issues are the multi-dimensionality of
data and the interaction of independent dimensions forming a latent output
signal, as well as the representation of multi-dimensional temporal data inside
of a p... | [
{
"created": "Wed, 7 Oct 2020 21:25:35 GMT",
"version": "v1"
}
] | 2020-10-09 | [
[
"Aungiers",
"Jakob",
""
]
] | Time series sequence prediction and modelling has proven to be a challenging endeavor in real world datasets. Two key issues are the multi-dimensionality of data and the interaction of independent dimensions forming a latent output signal, as well as the representation of multi-dimensional temporal data inside of a pre... |
2107.06550 | Yunlong Lu | Yunlong Lu, Na Meng, Wenxin Li | FAPR: Fast and Accurate Program Repair for Introductory Programming
Courses | 12 pages, 5 figures for main text; 3 pages, 5 figures for appendix | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In introductory programming courses, it is challenging for instructors to
provide debugging feedback on students' incorrect programs. Some recent tools
automatically offer program repair feedback by identifying any differences
between incorrect and correct programs, but suffer from issues related to
scalability, accu... | [
{
"created": "Wed, 14 Jul 2021 08:34:39 GMT",
"version": "v1"
}
] | 2021-07-15 | [
[
"Lu",
"Yunlong",
""
],
[
"Meng",
"Na",
""
],
[
"Li",
"Wenxin",
""
]
] | In introductory programming courses, it is challenging for instructors to provide debugging feedback on students' incorrect programs. Some recent tools automatically offer program repair feedback by identifying any differences between incorrect and correct programs, but suffer from issues related to scalability, accura... |
2403.08383 | Can Liu | Can Liu and Jin Wang and and Yipeng Zhou and Yachao Yuan and Quanzheng
Sheng and Kejie Lu | AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in
Federated Learning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) empowers privacypreservation in model training by
only exposing users' model gradients. Yet, FL users are susceptible to gradient
inversion attacks (GIAs) which can reconstruct ground-truth training data such
as images based on model gradients. However, reconstructing high-resolution
images by... | [
{
"created": "Wed, 13 Mar 2024 09:48:04 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Jul 2024 09:27:43 GMT",
"version": "v2"
},
{
"created": "Wed, 31 Jul 2024 08:57:57 GMT",
"version": "v3"
}
] | 2024-08-01 | [
[
"Liu",
"Can",
""
],
[
"Wang",
"Jin",
""
],
[
"Zhou",
"and Yipeng",
""
],
[
"Yuan",
"Yachao",
""
],
[
"Sheng",
"Quanzheng",
""
],
[
"Lu",
"Kejie",
""
]
] | Federated learning (FL) empowers privacypreservation in model training by only exposing users' model gradients. Yet, FL users are susceptible to gradient inversion attacks (GIAs) which can reconstruct ground-truth training data such as images based on model gradients. However, reconstructing high-resolution images by e... |
1903.07091 | Naveen Arivazhagan | Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin
Johnson, Wolfgang Macherey | The Missing Ingredient in Zero-Shot Neural Machine Translation | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multilingual Neural Machine Translation (NMT) models are capable of
translating between multiple source and target languages. Despite various
approaches to train such models, they have difficulty with zero-shot
translation: translating between language pairs that were not together seen
during training. In this paper ... | [
{
"created": "Sun, 17 Mar 2019 14:01:53 GMT",
"version": "v1"
}
] | 2019-03-19 | [
[
"Arivazhagan",
"Naveen",
""
],
[
"Bapna",
"Ankur",
""
],
[
"Firat",
"Orhan",
""
],
[
"Aharoni",
"Roee",
""
],
[
"Johnson",
"Melvin",
""
],
[
"Macherey",
"Wolfgang",
""
]
] | Multilingual Neural Machine Translation (NMT) models are capable of translating between multiple source and target languages. Despite various approaches to train such models, they have difficulty with zero-shot translation: translating between language pairs that were not together seen during training. In this paper we... |
2106.10404 | Shiwei Liu | Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin,
Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin
Mocanu | Sparse Training via Boosting Pruning Plasticity with Neuroregeneration | Published on the thirty-fifth Conference on Neural Information
Processing Systems (NeurIPS 2021). Code can be found
https://github.com/Shiweiliuiiiiiii/GraNet | Conference on Neural Information Processing Systems (NeurIPS 2021) | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Works on lottery ticket hypothesis (LTH) and single-shot network pruning
(SNIP) have raised a lot of attention currently on post-training pruning
(iterative magnitude pruning), and before-training pruning (pruning at
initialization). The former method suffers from an extremely large computation
cost and the latter us... | [
{
"created": "Sat, 19 Jun 2021 02:09:25 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Oct 2021 09:28:31 GMT",
"version": "v2"
},
{
"created": "Sat, 23 Oct 2021 07:18:42 GMT",
"version": "v3"
},
{
"created": "Sun, 6 Feb 2022 15:09:51 GMT",
"version": "v4"
}
] | 2022-02-08 | [
[
"Liu",
"Shiwei",
""
],
[
"Chen",
"Tianlong",
""
],
[
"Chen",
"Xiaohan",
""
],
[
"Atashgahi",
"Zahra",
""
],
[
"Yin",
"Lu",
""
],
[
"Kou",
"Huanyu",
""
],
[
"Shen",
"Li",
""
],
[
"Pechenizkiy",
"... | Works on lottery ticket hypothesis (LTH) and single-shot network pruning (SNIP) have raised a lot of attention currently on post-training pruning (iterative magnitude pruning), and before-training pruning (pruning at initialization). The former method suffers from an extremely large computation cost and the latter usua... |
cs/0006013 | Ion Androutsopoulos | Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos, George
Paliouras and Constantine D. Spyropoulos | An evaluation of Naive Bayesian anti-spam filtering | 9 pages | Proceedings of the workshop on Machine Learning in the New
Information Age, G. Potamias, V. Moustakis and M. van Someren (eds.), 11th
European Conference on Machine Learning, Barcelona, Spain, pp. 9-17, 2000 | null | null | cs.CL cs.AI | null | It has recently been argued that a Naive Bayesian classifier can be used to
filter unsolicited bulk e-mail ("spam"). We conduct a thorough evaluation of
this proposal on a corpus that we make publicly available, contributing towards
standard benchmarks. At the same time we investigate the effect of
attribute-set size... | [
{
"created": "Wed, 7 Jun 2000 11:10:50 GMT",
"version": "v1"
}
] | 2009-09-25 | [
[
"Androutsopoulos",
"Ion",
""
],
[
"Koutsias",
"John",
""
],
[
"Chandrinos",
"Konstantinos V.",
""
],
[
"Paliouras",
"George",
""
],
[
"Spyropoulos",
"Constantine D.",
""
]
] | It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail ("spam"). We conduct a thorough evaluation of this proposal on a corpus that we make publicly available, contributing towards standard benchmarks. At the same time we investigate the effect of attribute-set size, ... |
2309.04861 | Ayan Biswas | Ayan Biswas, Supriya Dhabal, Palaniandavar Venkateswaran | Exploring Music Genre Classification: Algorithm Analysis and Deployment
Architecture | null | null | null | null | cs.SD cs.IR eess.AS | http://creativecommons.org/licenses/by/4.0/ | Music genre classification has become increasingly critical with the advent
of various streaming applications. Nowadays, we find it impossible to imagine
using the artist's name and song title to search for music in a sophisticated
music app. It is always difficult to classify music correctly because the
information ... | [
{
"created": "Sat, 9 Sep 2023 19:01:12 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Sep 2023 06:05:04 GMT",
"version": "v2"
}
] | 2023-09-15 | [
[
"Biswas",
"Ayan",
""
],
[
"Dhabal",
"Supriya",
""
],
[
"Venkateswaran",
"Palaniandavar",
""
]
] | Music genre classification has become increasingly critical with the advent of various streaming applications. Nowadays, we find it impossible to imagine using the artist's name and song title to search for music in a sophisticated music app. It is always difficult to classify music correctly because the information li... |
2207.14422 | Kamal Gupta | Simon Odense, Kamal Gupta and William G. Macready | Neural-Guided RuntimePrediction of Planners for Improved Motion and Task
Planning with Graph Neural Networks | 8 pages; To appear in proceedings of 2022 IROS, Kyoto Japan | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The past decade has amply demonstrated the remarkable functionality that can
be realized by learning complex input/output relationships. Algorithmically,
one of the most important and opaque relationships is that between a problem's
structure and an effective solution method. Here, we quantitatively connect the
struc... | [
{
"created": "Fri, 29 Jul 2022 01:00:25 GMT",
"version": "v1"
}
] | 2022-08-01 | [
[
"Odense",
"Simon",
""
],
[
"Gupta",
"Kamal",
""
],
[
"Macready",
"William G.",
""
]
] | The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important and opaque relationships is that between a problem's structure and an effective solution method. Here, we quantitatively connect the structu... |
2003.03303 | Jiajia Guo | Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li | Deep Learning-based CSI Feedback for RIS-assisted Multi-user Systems | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the realm of reconfigurable intelligent surface (RIS)-assisted wireless
communications, efficient channel state information (CSI) feedback is
paramount. This paper introduces RIS-CoCsiNet, a novel deep learning-based
framework designed to greatly enhance feedback efficiency. By leveraging the
inherent correlation ... | [
{
"created": "Fri, 6 Mar 2020 16:33:09 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Dec 2020 16:13:04 GMT",
"version": "v2"
},
{
"created": "Sat, 17 Dec 2022 13:23:52 GMT",
"version": "v3"
},
{
"created": "Sat, 9 Mar 2024 08:36:41 GMT",
"version": "v4"
}
] | 2024-03-12 | [
[
"Guo",
"Jiajia",
""
],
[
"Yang",
"Xi",
""
],
[
"Wen",
"Chao-Kai",
""
],
[
"Jin",
"Shi",
""
],
[
"Li",
"Geoffrey Ye",
""
]
] | In the realm of reconfigurable intelligent surface (RIS)-assisted wireless communications, efficient channel state information (CSI) feedback is paramount. This paper introduces RIS-CoCsiNet, a novel deep learning-based framework designed to greatly enhance feedback efficiency. By leveraging the inherent correlation am... |
2301.02092 | Sadra Safadoust | Sadra Safadoust, Fatma G\"uney | DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and
Parallax | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Current self-supervised monocular depth estimation methods are mostly based
on estimating a rigid-body motion representing camera motion. These methods
suffer from the well-known scale ambiguity problem in their predictions. We
propose DepthP+P, a method that learns to estimate outputs in metric scale by
following th... | [
{
"created": "Thu, 5 Jan 2023 14:53:21 GMT",
"version": "v1"
}
] | 2023-01-06 | [
[
"Safadoust",
"Sadra",
""
],
[
"Güney",
"Fatma",
""
]
] | Current self-supervised monocular depth estimation methods are mostly based on estimating a rigid-body motion representing camera motion. These methods suffer from the well-known scale ambiguity problem in their predictions. We propose DepthP+P, a method that learns to estimate outputs in metric scale by following the ... |
2211.14703 | Kaihong Wang | Kaihong Wang and Donghyun Kim and Rogerio Feris and Kate Saenko and
Margrit Betke | Exploring Consistency in Cross-Domain Transformer for Domain Adaptive
Semantic Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While transformers have greatly boosted performance in semantic segmentation,
domain adaptive transformers are not yet well explored. We identify that the
domain gap can cause discrepancies in self-attention. Due to this gap, the
transformer attends to spurious regions or pixels, which deteriorates accuracy
on the ta... | [
{
"created": "Sun, 27 Nov 2022 02:40:33 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Nov 2022 01:55:17 GMT",
"version": "v2"
},
{
"created": "Wed, 21 Dec 2022 04:47:09 GMT",
"version": "v3"
}
] | 2022-12-22 | [
[
"Wang",
"Kaihong",
""
],
[
"Kim",
"Donghyun",
""
],
[
"Feris",
"Rogerio",
""
],
[
"Saenko",
"Kate",
""
],
[
"Betke",
"Margrit",
""
]
] | While transformers have greatly boosted performance in semantic segmentation, domain adaptive transformers are not yet well explored. We identify that the domain gap can cause discrepancies in self-attention. Due to this gap, the transformer attends to spurious regions or pixels, which deteriorates accuracy on the targ... |
1009.4977 | S. M. Kamruzzaman | Md. Abul kalam Azad, Rezwana Sharmeen, and S. M. Kamruzzaman | Universal Numeric Segmented Display | 6 Pages, International Conference | Proc. 7th International Conference on Computer and Information
Technology (ICCIT-2004), Dhaka, Bangladesh, pp. 887-892, Dec. 2004 | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Segmentation display plays a vital role to display numerals. But in today's
world matrix display is also used in displaying numerals. Because numerals has
lots of curve edges which is better supported by matrix display. But as matrix
display is costly and complex to implement and also needs more memory, segment
displ... | [
{
"created": "Sat, 25 Sep 2010 06:17:02 GMT",
"version": "v1"
}
] | 2010-09-28 | [
[
"Azad",
"Md. Abul kalam",
""
],
[
"Sharmeen",
"Rezwana",
""
],
[
"Kamruzzaman",
"S. M.",
""
]
] | Segmentation display plays a vital role to display numerals. But in today's world matrix display is also used in displaying numerals. Because numerals has lots of curve edges which is better supported by matrix display. But as matrix display is costly and complex to implement and also needs more memory, segment display... |
2205.07614 | Chao Wang | Chao Wang, Chen Chen, Dong Li, Bin Wang | Rethinking Reinforcement Learning based Logic Synthesis | nine pages; one figure; | null | null | null | cs.LG cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, reinforcement learning has been used to address logic synthesis by
formulating the operator sequence optimization problem as a Markov decision
process. However, through extensive experiments, we find out that the learned
policy makes decisions independent from the circuit features (i.e., states) and
yields ... | [
{
"created": "Mon, 16 May 2022 12:15:32 GMT",
"version": "v1"
},
{
"created": "Sat, 28 May 2022 08:31:10 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Jun 2022 11:41:13 GMT",
"version": "v3"
}
] | 2022-06-28 | [
[
"Wang",
"Chao",
""
],
[
"Chen",
"Chen",
""
],
[
"Li",
"Dong",
""
],
[
"Wang",
"Bin",
""
]
] | Recently, reinforcement learning has been used to address logic synthesis by formulating the operator sequence optimization problem as a Markov decision process. However, through extensive experiments, we find out that the learned policy makes decisions independent from the circuit features (i.e., states) and yields an... |
1412.6684 | Ismael Rafols | Jordi Molas-Gallart, Puay Tang, Ismael Rafols | On the relationship between interdisciplinarity and impact: different
modalities of interdisciplinarity lead to different types of impact | null | Journal of Science Policy and Research Management, 29(2), 69-89 | null | null | cs.DL physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is increasing interest among funding agencies to understand how they
can best contribute to enhancing the socio-economic impact of research.
Interdisciplinarity is often presented as a research mode that can facilitate
impact but there exist a limited number of analytical studies that have
attempted to examine ... | [
{
"created": "Sat, 20 Dec 2014 19:36:36 GMT",
"version": "v1"
}
] | 2014-12-23 | [
[
"Molas-Gallart",
"Jordi",
""
],
[
"Tang",
"Puay",
""
],
[
"Rafols",
"Ismael",
""
]
] | There is increasing interest among funding agencies to understand how they can best contribute to enhancing the socio-economic impact of research. Interdisciplinarity is often presented as a research mode that can facilitate impact but there exist a limited number of analytical studies that have attempted to examine wh... |
1712.02662 | Wei-Lin Hsiao | Wei-Lin Hsiao, Kristen Grauman | Creating Capsule Wardrobes from Fashion Images | Accepted to CVPR 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose to automatically create capsule wardrobes. Given an inventory of
candidate garments and accessories, the algorithm must assemble a minimal set
of items that provides maximal mix-and-match outfits. We pose the task as a
subset selection problem. To permit efficient subset selection over the space
of all out... | [
{
"created": "Thu, 7 Dec 2017 15:06:26 GMT",
"version": "v1"
},
{
"created": "Sat, 14 Apr 2018 17:02:40 GMT",
"version": "v2"
}
] | 2018-04-17 | [
[
"Hsiao",
"Wei-Lin",
""
],
[
"Grauman",
"Kristen",
""
]
] | We propose to automatically create capsule wardrobes. Given an inventory of candidate garments and accessories, the algorithm must assemble a minimal set of items that provides maximal mix-and-match outfits. We pose the task as a subset selection problem. To permit efficient subset selection over the space of all outfi... |
2404.12055 | Ziang Ren | Ziang Ren, Samuel Lensgraf, Alberto Quattrini Li | Improving the perception of visual fiducial markers in the field using
Adaptive Active Exposure Control | Paper accepted by ISER 2023 | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Accurate localization is fundamental for autonomous underwater vehicles
(AUVs) to carry out precise tasks, such as manipulation and construction.
Vision-based solutions using fiducial marker are promising, but extremely
challenging underwater because of harsh lighting condition underwater. This
paper introduces a gra... | [
{
"created": "Thu, 18 Apr 2024 10:10:56 GMT",
"version": "v1"
}
] | 2024-04-19 | [
[
"Ren",
"Ziang",
""
],
[
"Lensgraf",
"Samuel",
""
],
[
"Li",
"Alberto Quattrini",
""
]
] | Accurate localization is fundamental for autonomous underwater vehicles (AUVs) to carry out precise tasks, such as manipulation and construction. Vision-based solutions using fiducial marker are promising, but extremely challenging underwater because of harsh lighting condition underwater. This paper introduces a gradi... |
1808.06945 | Jingjing Xu | Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun | A Skeleton-Based Model for Promoting Coherence Among Sentences in
Narrative Story Generation | Accepted by EMNLP 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Narrative story generation is a challenging problem because it demands the
generated sentences with tight semantic connections, which has not been well
studied by most existing generative models. To address this problem, we propose
a skeleton-based model to promote the coherence of generated stories. Different
from t... | [
{
"created": "Tue, 21 Aug 2018 14:55:34 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Aug 2018 08:16:21 GMT",
"version": "v2"
}
] | 2018-08-28 | [
[
"Xu",
"Jingjing",
""
],
[
"Ren",
"Xuancheng",
""
],
[
"Zhang",
"Yi",
""
],
[
"Zeng",
"Qi",
""
],
[
"Cai",
"Xiaoyan",
""
],
[
"Sun",
"Xu",
""
]
] | Narrative story generation is a challenging problem because it demands the generated sentences with tight semantic connections, which has not been well studied by most existing generative models. To address this problem, we propose a skeleton-based model to promote the coherence of generated stories. Different from tra... |
2211.02468 | Anaelia Ovalle | Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh | Improving Adversarial Robustness to Sensitivity and Invariance Attacks
with Deep Metric Learning | v1 | null | null | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by/4.0/ | Intentionally crafted adversarial samples have effectively exploited
weaknesses in deep neural networks. A standard method in adversarial robustness
assumes a framework to defend against samples crafted by minimally perturbing a
sample such that its corresponding model output changes. These sensitivity
attacks exploi... | [
{
"created": "Fri, 4 Nov 2022 13:54:02 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Ovalle",
"Anaelia",
""
],
[
"Czyzycki",
"Evan",
""
],
[
"Hsieh",
"Cho-Jui",
""
]
] | Intentionally crafted adversarial samples have effectively exploited weaknesses in deep neural networks. A standard method in adversarial robustness assumes a framework to defend against samples crafted by minimally perturbing a sample such that its corresponding model output changes. These sensitivity attacks exploit ... |
2311.16140 | Fei He | Fei He, Zhiyuan Yang, Mingyue Gao, Biplab Poudel, Newgin Sam Ebin Sam
Dhas, Rajan Gyawali, Ashwin Dhakal, Jianlin Cheng, Dong Xu | Adapting Segment Anything Model (SAM) through Prompt-based Learning for
Enhanced Protein Identification in Cryo-EM Micrographs | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet
the task of protein particle picking, integral for 3D protein structure
construction, is laden with manual inefficiencies. While recent AI tools such
as Topaz and crYOLO are advancing the field, they do not fully address the
challenges of c... | [
{
"created": "Sat, 4 Nov 2023 14:20:08 GMT",
"version": "v1"
}
] | 2023-11-29 | [
[
"He",
"Fei",
""
],
[
"Yang",
"Zhiyuan",
""
],
[
"Gao",
"Mingyue",
""
],
[
"Poudel",
"Biplab",
""
],
[
"Dhas",
"Newgin Sam Ebin Sam",
""
],
[
"Gyawali",
"Rajan",
""
],
[
"Dhakal",
"Ashwin",
""
],
[
"... | Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with manual inefficiencies. While recent AI tools such as Topaz and crYOLO are advancing the field, they do not fully address the challenges of cry... |
2202.03845 | Klaudia Krawiecka | Klaudia Krawiecka, Simon Birnbach, Simon Eberz, Ivan Martinovic | BeeHIVE: Behavioral Biometric System based on Object Interactions in
Smart Environments | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The lack of standard input interfaces in the Internet of Things (IoT)
ecosystems presents a challenge in securing such infrastructures. To tackle
this challenge, we introduce a novel behavioral biometric system based on
naturally occurring interactions with objects in smart environments. This
biometric leverages exis... | [
{
"created": "Tue, 8 Feb 2022 13:11:42 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Feb 2022 21:38:50 GMT",
"version": "v2"
}
] | 2022-02-22 | [
[
"Krawiecka",
"Klaudia",
""
],
[
"Birnbach",
"Simon",
""
],
[
"Eberz",
"Simon",
""
],
[
"Martinovic",
"Ivan",
""
]
] | The lack of standard input interfaces in the Internet of Things (IoT) ecosystems presents a challenge in securing such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric leverages existi... |
2302.01281 | Jean Marie Tshimula | Jean Marie Tshimula, D'Jeff K. Nkashama, Kalonji Kalala, Maximilien V.
Dialufuma, Mbuyi Mukendi Didier, Hugues Kanda, Jean Tshibangu Muabila,
Christian N. Mayemba | Redesigning Electronic Health Record Systems to Support Developing
Countries | 2023 7th International Conference on Medical and Health Informatics
(ICMHI 2023) | null | null | null | cs.CY cs.AI cs.DB cs.HC cs.SE | http://creativecommons.org/licenses/by/4.0/ | Electronic Health Record (EHR) has become an essential tool in the healthcare
ecosystem, providing authorized clinicians with patients' health-related
information for better treatment. While most developed countries are taking
advantage of EHRs to improve their healthcare system, it remains challenging in
developing ... | [
{
"created": "Tue, 31 Jan 2023 19:16:38 GMT",
"version": "v1"
}
] | 2023-02-03 | [
[
"Tshimula",
"Jean Marie",
""
],
[
"Nkashama",
"D'Jeff K.",
""
],
[
"Kalala",
"Kalonji",
""
],
[
"Dialufuma",
"Maximilien V.",
""
],
[
"Didier",
"Mbuyi Mukendi",
""
],
[
"Kanda",
"Hugues",
""
],
[
"Muabila",
"Je... | Electronic Health Record (EHR) has become an essential tool in the healthcare ecosystem, providing authorized clinicians with patients' health-related information for better treatment. While most developed countries are taking advantage of EHRs to improve their healthcare system, it remains challenging in developing co... |
2007.07924 | Abubakar Siddique | Abubakar Siddique and Henry Medeiros | Tracking Passengers and Baggage Items Using Multiple Overhead Cameras at
Security Checkpoints | 16 pages, 16 figures | IEEE Transactions on Systems, Man, and Cybernetics: Systems (
Volume: 53, Issue: 6, June 2023) | 10.1109/TSMC.2022.3225252 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel framework to track multiple objects in overhead camera
videos for airport checkpoint security scenarios where targets correspond to
passengers and their baggage items. We propose a self-supervised learning (SSL)
technique to provide the model information about instance segmentation
uncertainty fr... | [
{
"created": "Wed, 15 Jul 2020 18:09:31 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Feb 2022 17:48:37 GMT",
"version": "v2"
},
{
"created": "Tue, 27 Feb 2024 08:20:57 GMT",
"version": "v3"
}
] | 2024-03-13 | [
[
"Siddique",
"Abubakar",
""
],
[
"Medeiros",
"Henry",
""
]
] | We introduce a novel framework to track multiple objects in overhead camera videos for airport checkpoint security scenarios where targets correspond to passengers and their baggage items. We propose a self-supervised learning (SSL) technique to provide the model information about instance segmentation uncertainty from... |
1805.06775 | Yenming Huang | Yenming Huang and Borching Su | Circularly Pulse-Shaped Precoding for OFDM: A New Waveform and Its
Optimization Design for 5G New Radio | 15 pages, 21 figures. This work has been submitted to the IEEE for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessible | IEEE Access 6 (2018) 44129-44146 | 10.1109/ACCESS.2018.2864336 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new circularly pulse-shaped (CPS) precoding orthogonal frequency division
multiplexing (OFDM) waveform, or CPS-OFDM for short, is proposed in this paper.
CPS-OFDM, characterized by user-specific precoder flexibility, possesses the
advantages of both low out-of-subband emission (OSBE) and low peak-to-average
power r... | [
{
"created": "Thu, 17 May 2018 13:51:42 GMT",
"version": "v1"
}
] | 2018-09-28 | [
[
"Huang",
"Yenming",
""
],
[
"Su",
"Borching",
""
]
] | A new circularly pulse-shaped (CPS) precoding orthogonal frequency division multiplexing (OFDM) waveform, or CPS-OFDM for short, is proposed in this paper. CPS-OFDM, characterized by user-specific precoder flexibility, possesses the advantages of both low out-of-subband emission (OSBE) and low peak-to-average power rat... |
2405.04428 | Alexis Baudin | Alexis Baudin, Cl\'emence Magnien, Lionel Tabourier | BBK: a simpler, faster algorithm for enumerating maximal bicliques in
large sparse bipartite graphs | 21 pages, 4 figures, 3 tables | null | null | null | cs.DS cs.CC cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bipartite graphs are a prevalent modeling tool for real-world networks,
capturing interactions between vertices of two different types. Within this
framework, bicliques emerge as crucial structures when studying dense
subgraphs: they are sets of vertices such that all vertices of the first type
interact with all vert... | [
{
"created": "Tue, 7 May 2024 15:49:34 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2024 09:00:21 GMT",
"version": "v2"
}
] | 2024-05-27 | [
[
"Baudin",
"Alexis",
""
],
[
"Magnien",
"Clémence",
""
],
[
"Tabourier",
"Lionel",
""
]
] | Bipartite graphs are a prevalent modeling tool for real-world networks, capturing interactions between vertices of two different types. Within this framework, bicliques emerge as crucial structures when studying dense subgraphs: they are sets of vertices such that all vertices of the first type interact with all vertic... |
1511.02196 | Haohan Wang | Haohan Wang, Madhavi K. Ganapathiraju | Evaluating Protein-protein Interaction Predictors with a Novel
3-Dimensional Metric | This article is an extended version of a poster presented in AMIA TBI
2015 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order for the predicted interactions to be directly adopted by biologists,
the ma- chine learning predictions have to be of high precision, regardless of
recall. This aspect cannot be evaluated or numerically represented well by
traditional metrics like accuracy, ROC, or precision-recall curve. In this
work, we st... | [
{
"created": "Fri, 6 Nov 2015 19:14:09 GMT",
"version": "v1"
}
] | 2015-11-09 | [
[
"Wang",
"Haohan",
""
],
[
"Ganapathiraju",
"Madhavi K.",
""
]
] | In order for the predicted interactions to be directly adopted by biologists, the ma- chine learning predictions have to be of high precision, regardless of recall. This aspect cannot be evaluated or numerically represented well by traditional metrics like accuracy, ROC, or precision-recall curve. In this work, we star... |
2405.10213 | Nedjma Ousidhoum | Dimosthenis Antypas, Christian Arnold, Jose Camacho-Collados, Nedjma
Ousidhoum, Carla Perez Almendros | Words as Trigger Points in Social Media Discussions | null | null | null | null | cs.SI cs.CL cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Trigger points are a concept introduced by Mau, Lux, and Westheuser (2023) to
study qualitative focus group interviews and understand polarisation in
Germany. When people communicate, trigger points represent moments when
individuals feel that their understanding of what is fair, normal, or
appropriate in society is ... | [
{
"created": "Thu, 16 May 2024 16:02:42 GMT",
"version": "v1"
}
] | 2024-05-17 | [
[
"Antypas",
"Dimosthenis",
""
],
[
"Arnold",
"Christian",
""
],
[
"Camacho-Collados",
"Jose",
""
],
[
"Ousidhoum",
"Nedjma",
""
],
[
"Almendros",
"Carla Perez",
""
]
] | Trigger points are a concept introduced by Mau, Lux, and Westheuser (2023) to study qualitative focus group interviews and understand polarisation in Germany. When people communicate, trigger points represent moments when individuals feel that their understanding of what is fair, normal, or appropriate in society is qu... |
1602.03956 | Daniel Filipe Farinha | Daniel Filipe G. Farinha | Grokya: a Privacy-Friendly Framework for Ubiquitous Computing | Master thesis | null | 10.13140/RG.2.1.2452.3281 | null | cs.CY cs.HC | http://creativecommons.org/licenses/by/4.0/ | In a world where for-profit enterprises are increasingly looking to maximize
profits by engaging in privacy invading consumer-profiling techniques, the rise
of ubiquitous computing and the Internet of Things (IoT) poses a major problem.
If not acted upon quickly, the combination of Big Data with IoT will explode
into... | [
{
"created": "Fri, 12 Feb 2016 03:18:47 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Jun 2016 07:19:01 GMT",
"version": "v2"
}
] | 2016-06-30 | [
[
"Farinha",
"Daniel Filipe G.",
""
]
] | In a world where for-profit enterprises are increasingly looking to maximize profits by engaging in privacy invading consumer-profiling techniques, the rise of ubiquitous computing and the Internet of Things (IoT) poses a major problem. If not acted upon quickly, the combination of Big Data with IoT will explode into a... |
2009.03062 | Harshal Tupsamudre | Harshal Tupsamudre and Sachin Lodha | Passwords: Divided they Stand, United they Fall | We propose an offline password guessing model in which attacker uses
information from previous breaches and surveys to divide the search space
into partitions. We prove that the success rate of attacker is maximum if the
resulting partitions are explored in decreasing order of density. We
demonstrate that the p... | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Today, offline attacks are one of the most severe threats to password
security. These attacks have claimed millions of passwords from prominent
websites including Yahoo, LinkedIn, Twitter, Sony, Adobe and many more.
Therefore, as a preventive measure, it is necessary to gauge the offline
guessing resistance of a pass... | [
{
"created": "Mon, 7 Sep 2020 12:39:02 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Sep 2020 02:36:07 GMT",
"version": "v2"
},
{
"created": "Sat, 12 Sep 2020 03:13:25 GMT",
"version": "v3"
}
] | 2020-09-15 | [
[
"Tupsamudre",
"Harshal",
""
],
[
"Lodha",
"Sachin",
""
]
] | Today, offline attacks are one of the most severe threats to password security. These attacks have claimed millions of passwords from prominent websites including Yahoo, LinkedIn, Twitter, Sony, Adobe and many more. Therefore, as a preventive measure, it is necessary to gauge the offline guessing resistance of a passwo... |
1801.04102 | Donghoon Lee | Donghoon Lee, Ming-Hsuan Yang, and Songhwai Oh | Generative Single Image Reflection Separation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Single image reflection separation is an ill-posed problem since two scenes,
a transmitted scene and a reflected scene, need to be inferred from a single
observation. To make the problem tractable, in this work we assume that
categories of two scenes are known. It allows us to address the problem by
generating both s... | [
{
"created": "Fri, 12 Jan 2018 09:36:17 GMT",
"version": "v1"
}
] | 2018-01-15 | [
[
"Lee",
"Donghoon",
""
],
[
"Yang",
"Ming-Hsuan",
""
],
[
"Oh",
"Songhwai",
""
]
] | Single image reflection separation is an ill-posed problem since two scenes, a transmitted scene and a reflected scene, need to be inferred from a single observation. To make the problem tractable, in this work we assume that categories of two scenes are known. It allows us to address the problem by generating both sce... |
1812.11042 | Aditya Dendukuri | Aditya Dendukuri and Khoa Luu | Image Processing in Quantum Computers | 6 pages, 7 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum Image Processing (QIP)is an exciting new field showing a lot of
promise as a powerful addition to the arsenal of Image Processing techniques.
Representing image pixel by pixel using classical information requires an
enormous amount of computational resources. Hence, exploring methods to
represent images in a ... | [
{
"created": "Fri, 28 Dec 2018 15:29:06 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Feb 2019 23:04:47 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Feb 2019 19:03:12 GMT",
"version": "v3"
}
] | 2019-02-13 | [
[
"Dendukuri",
"Aditya",
""
],
[
"Luu",
"Khoa",
""
]
] | Quantum Image Processing (QIP)is an exciting new field showing a lot of promise as a powerful addition to the arsenal of Image Processing techniques. Representing image pixel by pixel using classical information requires an enormous amount of computational resources. Hence, exploring methods to represent images in a di... |
1604.05572 | Malte Paskuda | Malte Paskuda and Myriam Lewkowicz | Does Anonymity Increase the Chance to Get Feedback? | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To generate a hypothesis about the effects of anonymity on user participation
in online communities, comments on Youtube were analysed for effects of the
change from allowing pseudonyms to Google+ with its real name policy. Small
differences were detected, leading to the hypothesis that the option to remain
anonymous... | [
{
"created": "Tue, 19 Apr 2016 14:01:57 GMT",
"version": "v1"
}
] | 2016-04-20 | [
[
"Paskuda",
"Malte",
""
],
[
"Lewkowicz",
"Myriam",
""
]
] | To generate a hypothesis about the effects of anonymity on user participation in online communities, comments on Youtube were analysed for effects of the change from allowing pseudonyms to Google+ with its real name policy. Small differences were detected, leading to the hypothesis that the option to remain anonymous l... |
2303.10285 | Gleb Pogudin | Andrey Bychkov and Opal Issan and Gleb Pogudin and Boris Kramer | Exact and optimal quadratization of nonlinear finite-dimensional
non-autonomous dynamical systems | null | null | null | null | cs.SC cs.NA math.DS math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quadratization of polynomial and nonpolynomial systems of ordinary
differential equations is advantageous in a variety of disciplines, such as
systems theory, fluid mechanics, chemical reaction modeling and mathematical
analysis. A quadratization reveals new variables and structures of a model,
which may be easier to... | [
{
"created": "Fri, 17 Mar 2023 23:52:35 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Mar 2023 20:30:06 GMT",
"version": "v2"
},
{
"created": "Fri, 8 Sep 2023 19:06:08 GMT",
"version": "v3"
},
{
"created": "Tue, 5 Dec 2023 21:18:27 GMT",
"version": "v4"
}
] | 2023-12-07 | [
[
"Bychkov",
"Andrey",
""
],
[
"Issan",
"Opal",
""
],
[
"Pogudin",
"Gleb",
""
],
[
"Kramer",
"Boris",
""
]
] | Quadratization of polynomial and nonpolynomial systems of ordinary differential equations is advantageous in a variety of disciplines, such as systems theory, fluid mechanics, chemical reaction modeling and mathematical analysis. A quadratization reveals new variables and structures of a model, which may be easier to a... |
2007.00792 | Haoyi Wang | Haoyi Wang, Victor Sanchez, Chang-Tsun Li | Age-Oriented Face Synthesis with Conditional Discriminator Pool and
Adversarial Triplet Loss | null | null | 10.1109/TIP.2021.3084106 | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The vanilla Generative Adversarial Networks (GAN) are commonly used to
generate realistic images depicting aged and rejuvenated faces. However, the
performance of such vanilla GANs in the age-oriented face synthesis task is
often compromised by the mode collapse issue, which may result in the
generation of faces with... | [
{
"created": "Wed, 1 Jul 2020 22:18:21 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Jul 2020 23:31:58 GMT",
"version": "v2"
}
] | 2021-07-07 | [
[
"Wang",
"Haoyi",
""
],
[
"Sanchez",
"Victor",
""
],
[
"Li",
"Chang-Tsun",
""
]
] | The vanilla Generative Adversarial Networks (GAN) are commonly used to generate realistic images depicting aged and rejuvenated faces. However, the performance of such vanilla GANs in the age-oriented face synthesis task is often compromised by the mode collapse issue, which may result in the generation of faces with m... |
2007.06073 | Daniel Halpern | Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah | Fair Division with Binary Valuations: One Rule to Rule Them All | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study fair allocation of indivisible goods among agents. Prior research
focuses on additive agent preferences, which leads to an impossibility when
seeking truthfulness, fairness, and efficiency. We show that when agents have
binary additive preferences, a compelling rule -- maximum Nash welfare (MNW) --
provides ... | [
{
"created": "Sun, 12 Jul 2020 19:37:59 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Sep 2020 15:14:14 GMT",
"version": "v2"
}
] | 2020-10-01 | [
[
"Halpern",
"Daniel",
""
],
[
"Procaccia",
"Ariel D.",
""
],
[
"Psomas",
"Alexandros",
""
],
[
"Shah",
"Nisarg",
""
]
] | We study fair allocation of indivisible goods among agents. Prior research focuses on additive agent preferences, which leads to an impossibility when seeking truthfulness, fairness, and efficiency. We show that when agents have binary additive preferences, a compelling rule -- maximum Nash welfare (MNW) -- provides al... |
2206.12485 | Neguine Rezaii | Neguine Rezaii | The syntax-lexicon tradeoff in writing | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | As speakers turn their thoughts into sentences, they maintain a balance
between the complexity of words and syntax. However, it is unclear whether this
syntax-lexicon tradeoff is unique to the spoken language production that is
under the pressure of rapid online processing. Alternatively, it is possible
that the trad... | [
{
"created": "Fri, 24 Jun 2022 19:57:12 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Rezaii",
"Neguine",
""
]
] | As speakers turn their thoughts into sentences, they maintain a balance between the complexity of words and syntax. However, it is unclear whether this syntax-lexicon tradeoff is unique to the spoken language production that is under the pressure of rapid online processing. Alternatively, it is possible that the tradeo... |
1710.07992 | Veeresh Devireddy | Veeresh D, Thimmaraju S. N, Ravish G. K | Twin Sort Technique | core computer algorithm, 3 pages, conference | International Journal of Combined Research & Development October
2014 | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective behind the Twin Sort technique is to sort the list of unordered
data elements efficiently and to allow efficient and simple arrangement of data
elements within the data structure with optimization of comparisons and
iterations in the sorting method. This sorting technique effectively terminates
the iter... | [
{
"created": "Sun, 22 Oct 2017 18:16:41 GMT",
"version": "v1"
}
] | 2017-10-24 | [
[
"D",
"Veeresh",
""
],
[
"N",
"Thimmaraju S.",
""
],
[
"K",
"Ravish G.",
""
]
] | The objective behind the Twin Sort technique is to sort the list of unordered data elements efficiently and to allow efficient and simple arrangement of data elements within the data structure with optimization of comparisons and iterations in the sorting method. This sorting technique effectively terminates the iterat... |
2101.12242 | Philipp Adis | Philipp Adis, Nicolas Horst, Mathias Wien | D3DLO: Deep 3D LiDAR Odometry | 5 pages, 4 figures, accepted at IEEE ICIP 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | LiDAR odometry (LO) describes the task of finding an alignment of subsequent
LiDAR point clouds. This alignment can be used to estimate the motion of the
platform where the LiDAR sensor is mounted on. Currently, on the well-known
KITTI Vision Benchmark Suite state-of-the-art algorithms are non-learning
approaches. We... | [
{
"created": "Thu, 28 Jan 2021 19:23:06 GMT",
"version": "v1"
},
{
"created": "Sat, 12 Jun 2021 13:33:04 GMT",
"version": "v2"
}
] | 2021-06-15 | [
[
"Adis",
"Philipp",
""
],
[
"Horst",
"Nicolas",
""
],
[
"Wien",
"Mathias",
""
]
] | LiDAR odometry (LO) describes the task of finding an alignment of subsequent LiDAR point clouds. This alignment can be used to estimate the motion of the platform where the LiDAR sensor is mounted on. Currently, on the well-known KITTI Vision Benchmark Suite state-of-the-art algorithms are non-learning approaches. We p... |
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