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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2106.04351 | Shuhei Ohno | Shuhei Ohno, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka | Si microring resonator crossbar array for on-chip inference and training
of optical neural network | 18 pages, 5 figures for main manuscript. 20 pages, 16 figures for
supplementary information | null | null | null | cs.ET physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning is one of the most advancing technologies in various fields.
Facing the limits of the current electronics platform, optical neural networks
(ONNs) based on Si programmable photonic integrated circuits (PICs) have
attracted considerable attention as a novel deep learning scheme with
optical-domain matrix... | [
{
"created": "Mon, 7 Jun 2021 12:04:46 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Jun 2021 10:15:55 GMT",
"version": "v2"
}
] | 2021-06-29 | [
[
"Ohno",
"Shuhei",
""
],
[
"Toprasertpong",
"Kasidit",
""
],
[
"Takagi",
"Shinichi",
""
],
[
"Takenaka",
"Mitsuru",
""
]
] | Deep learning is one of the most advancing technologies in various fields. Facing the limits of the current electronics platform, optical neural networks (ONNs) based on Si programmable photonic integrated circuits (PICs) have attracted considerable attention as a novel deep learning scheme with optical-domain matrix-v... |
1302.3308 | Mrinal Kumar | Mrinal Kumar, Gaurav Maheshwari, Jayalal Sarma M.N | Arithmetic Circuit Lower Bounds via MaxRank | 22 pages | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce the polynomial coefficient matrix and identify maximum rank of
this matrix under variable substitution as a complexity measure for
multivariate polynomials. We use our techniques to prove super-polynomial lower
bounds against several classes of non-multilinear arithmetic circuits. In
particular, we obtai... | [
{
"created": "Thu, 14 Feb 2013 04:25:56 GMT",
"version": "v1"
}
] | 2013-02-15 | [
[
"Kumar",
"Mrinal",
""
],
[
"Maheshwari",
"Gaurav",
""
],
[
"N",
"Jayalal Sarma M.",
""
]
] | We introduce the polynomial coefficient matrix and identify maximum rank of this matrix under variable substitution as a complexity measure for multivariate polynomials. We use our techniques to prove super-polynomial lower bounds against several classes of non-multilinear arithmetic circuits. In particular, we obtain ... |
0906.1346 | Jianfeng Zhan | Jianfeng Zhan, Lei Wang, Bibo Tu, Yong Li, Peng Wang, Wei Zhou, Dan
Meng | Phoenix Cloud: Consolidating Different Computing Loads on Shared Cluster
System for Large Organization | 5 page, 8 figures, The First Workshop of Cloud Computing and its
Application, The modified version. The original version is on the web site of
http://www.cca08.org/, which is dated from August 13, 2008 | The first workshop of cloud computing and its application (CCA
08), Chicago, 2008 | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Different departments of a large organization often run dedicated cluster
systems for different computing loads, like HPC (high performance computing)
jobs or Web service applications. In this paper, we have designed and
implemented a cloud management system software Phoenix Cloud to consolidate
heterogeneous workloa... | [
{
"created": "Sun, 7 Jun 2009 10:15:28 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Feb 2010 07:59:05 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Mar 2010 06:01:45 GMT",
"version": "v3"
},
{
"created": "Tue, 6 Apr 2010 23:03:03 GMT",
"version": "v4"
},
{
"cre... | 2010-07-20 | [
[
"Zhan",
"Jianfeng",
""
],
[
"Wang",
"Lei",
""
],
[
"Tu",
"Bibo",
""
],
[
"Li",
"Yong",
""
],
[
"Wang",
"Peng",
""
],
[
"Zhou",
"Wei",
""
],
[
"Meng",
"Dan",
""
]
] | Different departments of a large organization often run dedicated cluster systems for different computing loads, like HPC (high performance computing) jobs or Web service applications. In this paper, we have designed and implemented a cloud management system software Phoenix Cloud to consolidate heterogeneous workloads... |
2401.06519 | Damian Heiman | Veeti Ahvonen, Damian Heiman, Antti Kuusisto | Graded modal logic and counting message passing automata | null | null | null | null | cs.LO cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We examine the relationship of graded (multi)modal logic to counting
(multichannel) message passing automata with applications to the
Weisfeiler-Leman algorithm. We introduce the notion of graded multimodal types,
which are formulae of graded multimodal logic that encode the local information
of a pointed Kripke-mode... | [
{
"created": "Fri, 12 Jan 2024 11:34:44 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jan 2024 15:37:08 GMT",
"version": "v2"
}
] | 2024-01-29 | [
[
"Ahvonen",
"Veeti",
""
],
[
"Heiman",
"Damian",
""
],
[
"Kuusisto",
"Antti",
""
]
] | We examine the relationship of graded (multi)modal logic to counting (multichannel) message passing automata with applications to the Weisfeiler-Leman algorithm. We introduce the notion of graded multimodal types, which are formulae of graded multimodal logic that encode the local information of a pointed Kripke-model.... |
2205.11273 | Bo Yang | Bo Yang, Fangxiang Feng, Xiaojie Wang | GR-GAN: Gradual Refinement Text-to-image Generation | Accepted by ICME 2022 | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A good Text-to-Image model should not only generate high quality images, but
also ensure the consistency between the text and the generated image. Previous
models failed to simultaneously fix both sides well. This paper proposes a
Gradual Refinement Generative Adversarial Network (GR-GAN) to alleviates the
problem ef... | [
{
"created": "Mon, 23 May 2022 12:42:04 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Jun 2022 16:31:57 GMT",
"version": "v2"
}
] | 2022-06-22 | [
[
"Yang",
"Bo",
""
],
[
"Feng",
"Fangxiang",
""
],
[
"Wang",
"Xiaojie",
""
]
] | A good Text-to-Image model should not only generate high quality images, but also ensure the consistency between the text and the generated image. Previous models failed to simultaneously fix both sides well. This paper proposes a Gradual Refinement Generative Adversarial Network (GR-GAN) to alleviates the problem effi... |
1912.04711 | Quim Comas Mart\'inez | Joaquim Comas, Decky Aspandi and Xavier Binefa | End-to-end facial and physiological model for Affective Computing and
applications | null | null | null | null | cs.CV cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, Affective Computing and its applications have become a
fast-growing research topic. Furthermore, the rise of Deep Learning has
introduced significant improvements in the emotion recognition system compared
to classical methods. In this work, we propose a multi-modal emotion
recognition model based on... | [
{
"created": "Tue, 10 Dec 2019 14:37:15 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jan 2020 11:25:55 GMT",
"version": "v2"
}
] | 2020-01-22 | [
[
"Comas",
"Joaquim",
""
],
[
"Aspandi",
"Decky",
""
],
[
"Binefa",
"Xavier",
""
]
] | In recent years, Affective Computing and its applications have become a fast-growing research topic. Furthermore, the rise of Deep Learning has introduced significant improvements in the emotion recognition system compared to classical methods. In this work, we propose a multi-modal emotion recognition model based on d... |
1805.11921 | Sergei Ivanov | Sergey Ivanov, Evgeny Burnaev | Anonymous Walk Embeddings | ICML 2018 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The task of representing entire graphs has seen a surge of prominent results,
mainly due to learning convolutional neural networks (CNNs) on graph-structured
data. While CNNs demonstrate state-of-the-art performance in graph
classification task, such methods are supervised and therefore steer away from
the original p... | [
{
"created": "Wed, 30 May 2018 12:43:47 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jun 2018 15:14:49 GMT",
"version": "v2"
},
{
"created": "Fri, 8 Jun 2018 09:31:56 GMT",
"version": "v3"
}
] | 2018-06-11 | [
[
"Ivanov",
"Sergey",
""
],
[
"Burnaev",
"Evgeny",
""
]
] | The task of representing entire graphs has seen a surge of prominent results, mainly due to learning convolutional neural networks (CNNs) on graph-structured data. While CNNs demonstrate state-of-the-art performance in graph classification task, such methods are supervised and therefore steer away from the original pro... |
1607.00150 | Francesco Liberati | Alessandro Di Giorgio, Francesco Liberati, Roberto German\`a, Marco
Presciuttini, Lorenzo Ricciardi Celsi, Francesco Delli Priscoli | On the Control of Energy Storage Systems for Electric Vehicles Fast
Charging in Service Areas | 6 pages | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a real time control strategy for energy storage systems
integration in electric vehicles fast charging applications combined with
generation from intermittent renewable energy sources. A two steps approach
taking advantage of the model predictive control methodology is designed on
purpose to optim... | [
{
"created": "Fri, 1 Jul 2016 08:28:09 GMT",
"version": "v1"
}
] | 2016-07-04 | [
[
"Di Giorgio",
"Alessandro",
""
],
[
"Liberati",
"Francesco",
""
],
[
"Germanà",
"Roberto",
""
],
[
"Presciuttini",
"Marco",
""
],
[
"Celsi",
"Lorenzo Ricciardi",
""
],
[
"Priscoli",
"Francesco Delli",
""
]
] | This paper presents a real time control strategy for energy storage systems integration in electric vehicles fast charging applications combined with generation from intermittent renewable energy sources. A two steps approach taking advantage of the model predictive control methodology is designed on purpose to optimal... |
1908.11752 | Filipo Sharevski | Filipo Sharevski, Paige Treebridge, Jessica Westbrook | Manipulation of Perceived Politeness in a Web-based Email Discourse
Through a Malicious Browser Extension | null | ACM New Security Paradigms Workshop NSPW 2019 | 10.1145/3368860.3368863 | null | cs.CR cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a specific man-in-the-middle exploit: Ambient Tactical
Deception (ATD) in online communication, realized via a malicious web browser
extension. Extensions manipulate web content in unobtrusive ways as ambient
intermediaries of the overall browsing experience. In our previous work, we
demonstrated ... | [
{
"created": "Fri, 30 Aug 2019 14:17:56 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Dec 2019 19:14:31 GMT",
"version": "v2"
}
] | 2019-12-30 | [
[
"Sharevski",
"Filipo",
""
],
[
"Treebridge",
"Paige",
""
],
[
"Westbrook",
"Jessica",
""
]
] | This paper presents a specific man-in-the-middle exploit: Ambient Tactical Deception (ATD) in online communication, realized via a malicious web browser extension. Extensions manipulate web content in unobtrusive ways as ambient intermediaries of the overall browsing experience. In our previous work, we demonstrated th... |
1910.07266 | Camila Pontes PhD | Camila Pontes, Manuela Souza, Jo\~ao Gondim, Matt Bishop and Marcelo
Marotta | A new method for flow-based network intrusion detection using the
inverse Potts model | null | IEEE Transactions on Network and Service Management (Volume: 18,
Issue: 2, June 2021, Page(s): 1125-1136) Date of Publication: 26 April 2021 | 10.1109/TNSM.2021.3075503 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network Intrusion Detection Systems (NIDS) play an important role as tools
for identifying potential network threats. In the context of ever-increasing
traffic volume on computer networks, flow-based NIDS arise as good solutions
for real-time traffic classification. In recent years, different flow-based
classifiers h... | [
{
"created": "Wed, 16 Oct 2019 10:36:23 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jun 2020 16:36:53 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Jun 2020 22:27:35 GMT",
"version": "v3"
},
{
"created": "Thu, 15 Oct 2020 11:57:04 GMT",
"version": "v4"
},
{
"c... | 2021-09-24 | [
[
"Pontes",
"Camila",
""
],
[
"Souza",
"Manuela",
""
],
[
"Gondim",
"João",
""
],
[
"Bishop",
"Matt",
""
],
[
"Marotta",
"Marcelo",
""
]
] | Network Intrusion Detection Systems (NIDS) play an important role as tools for identifying potential network threats. In the context of ever-increasing traffic volume on computer networks, flow-based NIDS arise as good solutions for real-time traffic classification. In recent years, different flow-based classifiers hav... |
2105.03773 | Samson Zhou | David P. Woodruff and Samson Zhou | Separations for Estimating Large Frequency Moments on Data Streams | ICALP 2021 | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We study the classical problem of moment estimation of an underlying vector
whose $n$ coordinates are implicitly defined through a series of updates in a
data stream. We show that if the updates to the vector arrive in the
random-order insertion-only model, then there exist space efficient algorithms
with improved de... | [
{
"created": "Sat, 8 May 2021 20:39:30 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Jun 2021 03:32:41 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Jun 2021 20:17:30 GMT",
"version": "v3"
},
{
"created": "Thu, 7 Jul 2022 07:00:46 GMT",
"version": "v4"
}
] | 2022-07-08 | [
[
"Woodruff",
"David P.",
""
],
[
"Zhou",
"Samson",
""
]
] | We study the classical problem of moment estimation of an underlying vector whose $n$ coordinates are implicitly defined through a series of updates in a data stream. We show that if the updates to the vector arrive in the random-order insertion-only model, then there exist space efficient algorithms with improved depe... |
1503.07970 | Sumio Watanabe | Sumio Watanabe | Bayesian Cross Validation and WAIC for Predictive Prior Design in
Regular Asymptotic Theory | 33 pages, 3 tables | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prior design is one of the most important problems in both statistics and
machine learning. The cross validation (CV) and the widely applicable
information criterion (WAIC) are predictive measures of the Bayesian
estimation, however, it has been difficult to apply them to find the optimal
prior because their mathemat... | [
{
"created": "Fri, 27 Mar 2015 06:21:06 GMT",
"version": "v1"
}
] | 2015-03-30 | [
[
"Watanabe",
"Sumio",
""
]
] | Prior design is one of the most important problems in both statistics and machine learning. The cross validation (CV) and the widely applicable information criterion (WAIC) are predictive measures of the Bayesian estimation, however, it has been difficult to apply them to find the optimal prior because their mathematic... |
2303.16173 | Emily Allaway | Emily Allaway, Nina Taneja, Sarah-Jane Leslie, Maarten Sap | Towards Countering Essentialism through Social Bias Reasoning | Workshop on NLP for Positive Impact @ EMNLP 2022 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Essentialist beliefs (i.e., believing that members of the same group are
fundamentally alike) play a central role in social stereotypes and can lead to
harm when left unchallenged. In our work, we conduct exploratory studies into
the task of countering essentialist beliefs (e.g., ``liberals are stupid'').
Drawing on ... | [
{
"created": "Tue, 28 Mar 2023 17:34:59 GMT",
"version": "v1"
}
] | 2023-03-29 | [
[
"Allaway",
"Emily",
""
],
[
"Taneja",
"Nina",
""
],
[
"Leslie",
"Sarah-Jane",
""
],
[
"Sap",
"Maarten",
""
]
] | Essentialist beliefs (i.e., believing that members of the same group are fundamentally alike) play a central role in social stereotypes and can lead to harm when left unchallenged. In our work, we conduct exploratory studies into the task of countering essentialist beliefs (e.g., ``liberals are stupid''). Drawing on pr... |
1704.03264 | Kai Zhang | Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang | Learning Deep CNN Denoiser Prior for Image Restoration | Accepted to CVPR 2017. Code: https://github.com/cszn/ircnn | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Model-based optimization methods and discriminative learning methods have
been the two dominant strategies for solving various inverse problems in
low-level vision. Typically, those two kinds of methods have their respective
merits and drawbacks, e.g., model-based optimization methods are flexible for
handling differ... | [
{
"created": "Tue, 11 Apr 2017 12:30:46 GMT",
"version": "v1"
}
] | 2017-04-12 | [
[
"Zhang",
"Kai",
""
],
[
"Zuo",
"Wangmeng",
""
],
[
"Gu",
"Shuhang",
""
],
[
"Zhang",
"Lei",
""
]
] | Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various inverse problems in low-level vision. Typically, those two kinds of methods have their respective merits and drawbacks, e.g., model-based optimization methods are flexible for handling differen... |
1701.09037 | Hamid Shahdoosti | Seyede Mahya Hazavei and Hamid Reza Shahdoosti | A New Method for Removing the Moire' Pattern from Images | 6 pages, 12 figures, conference | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During the last decades, denoising methods have attracted much attention of
researchers. The conventional method for removing the Moire' pattern from
images is using notch filters in the Frequency-domain. In this paper a new
method is proposed that can achieve a better performance in comparison with the
traditional m... | [
{
"created": "Tue, 31 Jan 2017 13:52:31 GMT",
"version": "v1"
}
] | 2017-02-01 | [
[
"Hazavei",
"Seyede Mahya",
""
],
[
"Shahdoosti",
"Hamid Reza",
""
]
] | During the last decades, denoising methods have attracted much attention of researchers. The conventional method for removing the Moire' pattern from images is using notch filters in the Frequency-domain. In this paper a new method is proposed that can achieve a better performance in comparison with the traditional met... |
2003.09583 | Daqi Liu | Daqi Liu, Bo Chen, Tat-Jun Chin and Mark Rutten | Topological Sweep for Multi-Target Detection of Geostationary Space
Objects | 12 pages, 12 figures, accepted to IEEE Transactions on Signal
Processing | null | 10.1109/TSP.2020.3021232 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conducting surveillance of the Earth's orbit is a key task towards achieving
space situational awareness (SSA). Our work focuses on the optical detection of
man-made objects (e.g., satellites, space debris) in Geostationary orbit (GEO),
which is home to major space assets such as telecommunications and navigational
s... | [
{
"created": "Sat, 21 Mar 2020 06:00:41 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Apr 2020 15:29:20 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Sep 2020 06:06:10 GMT",
"version": "v3"
}
] | 2020-10-28 | [
[
"Liu",
"Daqi",
""
],
[
"Chen",
"Bo",
""
],
[
"Chin",
"Tat-Jun",
""
],
[
"Rutten",
"Mark",
""
]
] | Conducting surveillance of the Earth's orbit is a key task towards achieving space situational awareness (SSA). Our work focuses on the optical detection of man-made objects (e.g., satellites, space debris) in Geostationary orbit (GEO), which is home to major space assets such as telecommunications and navigational sat... |
1811.05284 | Ernst-Georg Schmid | Ernst-Georg Schmid | Right to Sign: Safeguarding data immutability in blockchain systems with
cryptographic signatures over a broad range of available consensus finding
scenarios | 5 pages, 8 figures, 1 table | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The choice of the consensus method ultimately determines throughput,
scalability, tamper resistance, and consistency of a blockchain system.
However, across all the types of blockchain (private, semi-private, consortium,
or public), there is no consensus method that uniformly addresses all these
traits. Verifiable lo... | [
{
"created": "Tue, 13 Nov 2018 13:35:19 GMT",
"version": "v1"
}
] | 2018-11-14 | [
[
"Schmid",
"Ernst-Georg",
""
]
] | The choice of the consensus method ultimately determines throughput, scalability, tamper resistance, and consistency of a blockchain system. However, across all the types of blockchain (private, semi-private, consortium, or public), there is no consensus method that uniformly addresses all these traits. Verifiable lott... |
1401.4420 | Roman Kontchakov | Stanislav Kikot, Roman Kontchakov, Vladimir Podolskii and Michael
Zakharyaschev | On the Succinctness of Query Rewriting over OWL 2 QL Ontologies with
Shallow Chases | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the size of first-order rewritings of conjunctive queries over
OWL 2 QL ontologies of depth 1 and 2 by means of hypergraph programs computing
Boolean functions. Both positive and negative results are obtained. Conjunctive
queries over ontologies of depth 1 have polynomial-size nonrecursive datalog
rewr... | [
{
"created": "Fri, 17 Jan 2014 18:03:08 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Jan 2014 10:22:59 GMT",
"version": "v2"
}
] | 2014-01-23 | [
[
"Kikot",
"Stanislav",
""
],
[
"Kontchakov",
"Roman",
""
],
[
"Podolskii",
"Vladimir",
""
],
[
"Zakharyaschev",
"Michael",
""
]
] | We investigate the size of first-order rewritings of conjunctive queries over OWL 2 QL ontologies of depth 1 and 2 by means of hypergraph programs computing Boolean functions. Both positive and negative results are obtained. Conjunctive queries over ontologies of depth 1 have polynomial-size nonrecursive datalog rewrit... |
2310.13648 | Peng Liang | Muhammad Waseem, Teerath Das, Aakash Ahmad, Peng Liang, Mahdi
Fehmideh, Tommi Mikkonen | ChatGPT as a Software Development Bot: A Project-based Study | The 19th International Conference on Evaluation of Novel Approaches
to Software Engineering (ENASE) | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Artificial Intelligence has demonstrated its significance in software
engineering through notable improvements in productivity, accuracy,
collaboration, and learning outcomes. This study examines the impact of
generative AI tools, specifically ChatGPT, on the software development
experiences of undergraduate students... | [
{
"created": "Fri, 20 Oct 2023 16:48:19 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Feb 2024 16:40:18 GMT",
"version": "v2"
}
] | 2024-02-23 | [
[
"Waseem",
"Muhammad",
""
],
[
"Das",
"Teerath",
""
],
[
"Ahmad",
"Aakash",
""
],
[
"Liang",
"Peng",
""
],
[
"Fehmideh",
"Mahdi",
""
],
[
"Mikkonen",
"Tommi",
""
]
] | Artificial Intelligence has demonstrated its significance in software engineering through notable improvements in productivity, accuracy, collaboration, and learning outcomes. This study examines the impact of generative AI tools, specifically ChatGPT, on the software development experiences of undergraduate students. ... |
2310.08289 | Mohammad Soleymani | Mohammad Soleymani, Ignacio Santamaria, Aydin Sezgin, Eduard Jorswieck | Maximization of minimum rate in MIMO OFDM RIS-assisted Broadcast
Channels | Accepted at IEEE CAMSAP 2023 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reconfigurable intelligent surface (RIS) is a promising technology to enhance
the spectral efficiency of wireless communication systems. By optimizing the
RIS elements, the performance of the overall system can be improved. Yet, in
contrast to single-carrier systems, in multi-carrier systems, it is not
possible to in... | [
{
"created": "Thu, 12 Oct 2023 12:45:39 GMT",
"version": "v1"
}
] | 2023-10-13 | [
[
"Soleymani",
"Mohammad",
""
],
[
"Santamaria",
"Ignacio",
""
],
[
"Sezgin",
"Aydin",
""
],
[
"Jorswieck",
"Eduard",
""
]
] | Reconfigurable intelligent surface (RIS) is a promising technology to enhance the spectral efficiency of wireless communication systems. By optimizing the RIS elements, the performance of the overall system can be improved. Yet, in contrast to single-carrier systems, in multi-carrier systems, it is not possible to inde... |
2111.09571 | Yunpeng Gong | Yunpeng Gong, Liqing Huang, Lifei Chen | Person Re-identification Method Based on Color Attack and Joint Defence | Accepted by CVPR2022 Workshops
(https://openaccess.thecvf.com/content/CVPR2022W/HCIS/html/Gong_Person_Re-Identification_Method_Based_on_Color_Attack_and_Joint_Defence_CVPRW_2022_paper.html) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The main challenges of ReID is the intra-class variations caused by color
deviation under different camera conditions. Simultaneously, we find that most
of the existing adversarial metric attacks are realized by interfering with the
color characteristics of the sample. Based on this observation, we first
propose a lo... | [
{
"created": "Thu, 18 Nov 2021 08:13:49 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Dec 2021 06:00:55 GMT",
"version": "v2"
},
{
"created": "Sun, 12 Jun 2022 05:04:01 GMT",
"version": "v3"
},
{
"created": "Tue, 14 Jun 2022 02:10:25 GMT",
"version": "v4"
}
] | 2022-06-15 | [
[
"Gong",
"Yunpeng",
""
],
[
"Huang",
"Liqing",
""
],
[
"Chen",
"Lifei",
""
]
] | The main challenges of ReID is the intra-class variations caused by color deviation under different camera conditions. Simultaneously, we find that most of the existing adversarial metric attacks are realized by interfering with the color characteristics of the sample. Based on this observation, we first propose a loca... |
2402.15977 | Shaojie Zhang | Shaojie Zhang, Yinghui Wang, Peixuan Liu, Yukai Wang, Liangyi Huang,
Mingfeng Wang, and Ibragim R. Atadjanov | An Image Enhancement Method for Improving Small Intestinal Villi Clarity | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents, for the first time, an image enhancement methodology
designed to enhance the clarity of small intestinal villi in Wireless Capsule
Endoscopy (WCE) images. This method first separates the low-frequency and
high-frequency components of small intestinal villi images using guided
filtering. Subsequen... | [
{
"created": "Sun, 25 Feb 2024 03:43:07 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Mar 2024 08:18:56 GMT",
"version": "v2"
}
] | 2024-03-14 | [
[
"Zhang",
"Shaojie",
""
],
[
"Wang",
"Yinghui",
""
],
[
"Liu",
"Peixuan",
""
],
[
"Wang",
"Yukai",
""
],
[
"Huang",
"Liangyi",
""
],
[
"Wang",
"Mingfeng",
""
],
[
"Atadjanov",
"Ibragim R.",
""
]
] | This paper presents, for the first time, an image enhancement methodology designed to enhance the clarity of small intestinal villi in Wireless Capsule Endoscopy (WCE) images. This method first separates the low-frequency and high-frequency components of small intestinal villi images using guided filtering. Subsequentl... |
1910.07475 | Patrick Lewis | Patrick Lewis, Barlas O\u{g}uz, Ruty Rinott, Sebastian Riedel, Holger
Schwenk | MLQA: Evaluating Cross-lingual Extractive Question Answering | To appear in ACL 2020 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Question answering (QA) models have shown rapid progress enabled by the
availability of large, high-quality benchmark datasets. Such annotated datasets
are difficult and costly to collect, and rarely exist in languages other than
English, making training QA systems in other languages challenging. An
alternative to bu... | [
{
"created": "Wed, 16 Oct 2019 17:05:21 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Nov 2019 05:46:56 GMT",
"version": "v2"
},
{
"created": "Sun, 3 May 2020 10:13:02 GMT",
"version": "v3"
}
] | 2020-05-05 | [
[
"Lewis",
"Patrick",
""
],
[
"Oğuz",
"Barlas",
""
],
[
"Rinott",
"Ruty",
""
],
[
"Riedel",
"Sebastian",
""
],
[
"Schwenk",
"Holger",
""
]
] | Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets. Such annotated datasets are difficult and costly to collect, and rarely exist in languages other than English, making training QA systems in other languages challenging. An alternative to buil... |
1505.06543 | Ruby Annette | Ruby Annette, Aisha Banu, Subash Chandran | Rendering-as-a-Service: Taxonomy and Comparison | null | Procedia Computer Science 50 (2015): 276-281 | null | null | cs.DC cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The movies like the Avatar are a good example of the stunning visual effects
that the animation could bring into a movie.The 3D wire frame models are
converted to 3D photo realistic images using a process called the rendering.
This rendering process is offered as a service in the cloud, where the
animation files to b... | [
{
"created": "Mon, 25 May 2015 05:28:00 GMT",
"version": "v1"
}
] | 2015-05-26 | [
[
"Annette",
"Ruby",
""
],
[
"Banu",
"Aisha",
""
],
[
"Chandran",
"Subash",
""
]
] | The movies like the Avatar are a good example of the stunning visual effects that the animation could bring into a movie.The 3D wire frame models are converted to 3D photo realistic images using a process called the rendering. This rendering process is offered as a service in the cloud, where the animation files to be ... |
0809.2884 | Soubhik Chakraborty | Bidu Prakash Das and Soubhik Chakraborty | On an algorithm that generates an interesting maximal set P(n) of the
naturals for any n greater than or equal to 2 | There are some problems with the page numbering. I could not remove
the unwanted page numbers! please read the pages one after another as they
come. There are 11 pages in all | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper considers the problem of finding the largest possible set P(n), a
subset of the set N of the natural numbers, with the property that a number is
in P(n) if and only if it is a sum of n distinct naturals all in P(n) or none
in P(n). Here largest is in the set theoretic sense and n is greater than or
equal to... | [
{
"created": "Wed, 17 Sep 2008 09:28:58 GMT",
"version": "v1"
}
] | 2008-09-18 | [
[
"Das",
"Bidu Prakash",
""
],
[
"Chakraborty",
"Soubhik",
""
]
] | The paper considers the problem of finding the largest possible set P(n), a subset of the set N of the natural numbers, with the property that a number is in P(n) if and only if it is a sum of n distinct naturals all in P(n) or none in P(n). Here largest is in the set theoretic sense and n is greater than or equal to 2... |
2204.02687 | Jeong Min Lee | Jeong Min Lee and Milos Hauskrecht | Learning to Adapt Clinical Sequences with Residual Mixture of Experts | Accepted at 20th International Conference on Artificial Intelligence
in Medicine (AIME) 2022 | null | null | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Clinical event sequences in Electronic Health Records (EHRs) record detailed
information about the patient condition and patient care as they occur in time.
Recent years have witnessed increased interest of machine learning community in
developing machine learning models solving different types of problems defined
up... | [
{
"created": "Wed, 6 Apr 2022 09:23:12 GMT",
"version": "v1"
}
] | 2022-04-07 | [
[
"Lee",
"Jeong Min",
""
],
[
"Hauskrecht",
"Milos",
""
]
] | Clinical event sequences in Electronic Health Records (EHRs) record detailed information about the patient condition and patient care as they occur in time. Recent years have witnessed increased interest of machine learning community in developing machine learning models solving different types of problems defined upon... |
2111.00739 | Zhen Long | Na zhao, Zhen Long, Zhi-Dan Zhao, Jian Wang | URIR: Recommendation algorithm of user RNN encoder and item encoder
based on knowledge graph | null | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Due to a large amount of information, it is difficult for users to find what
they are interested in among the many choices. In order to improve users'
experience, recommendation systems have been widely used in music
recommendations, movie recommendations, online shopping, and other scenarios.
Recently, Knowledge Gra... | [
{
"created": "Mon, 1 Nov 2021 07:28:11 GMT",
"version": "v1"
}
] | 2021-11-02 | [
[
"zhao",
"Na",
""
],
[
"Long",
"Zhen",
""
],
[
"Zhao",
"Zhi-Dan",
""
],
[
"Wang",
"Jian",
""
]
] | Due to a large amount of information, it is difficult for users to find what they are interested in among the many choices. In order to improve users' experience, recommendation systems have been widely used in music recommendations, movie recommendations, online shopping, and other scenarios. Recently, Knowledge Graph... |
1412.0325 | Agnes Cseh | Ashwin Arulselvan, \'Agnes Cseh, Martin Gro{\ss}, David F. Manlove,
Jannik Matuschke | Matchings with lower quotas: Algorithms and complexity | preliminary version has appeared at ISAAC 2015 | null | null | null | cs.DM cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a natural generalization of the maximum weight many-to-one matching
problem. We are given an undirected bipartite graph $G= (A \cup P, E)$ with
weights on the edges in $E$, and with lower and upper quotas on the vertices in
$P$. We seek a maximum weight many-to-one matching satisfying two sets of
constraints... | [
{
"created": "Mon, 1 Dec 2014 01:36:23 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Dec 2014 13:26:16 GMT",
"version": "v2"
},
{
"created": "Wed, 16 Sep 2015 22:43:05 GMT",
"version": "v3"
},
{
"created": "Sun, 20 Sep 2015 19:04:19 GMT",
"version": "v4"
},
{
"cre... | 2016-03-29 | [
[
"Arulselvan",
"Ashwin",
""
],
[
"Cseh",
"Ágnes",
""
],
[
"Groß",
"Martin",
""
],
[
"Manlove",
"David F.",
""
],
[
"Matuschke",
"Jannik",
""
]
] | We study a natural generalization of the maximum weight many-to-one matching problem. We are given an undirected bipartite graph $G= (A \cup P, E)$ with weights on the edges in $E$, and with lower and upper quotas on the vertices in $P$. We seek a maximum weight many-to-one matching satisfying two sets of constraints: ... |
2311.03943 | Zinuo Li | Weiwen Chen, Qiuhong Ke, Zinuo Li | CLIP Guided Image-perceptive Prompt Learning for Image Enhancement | A trial work to the image enhancement | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image enhancement is a significant research area in the fields of computer
vision and image processing. In recent years, many learning-based methods for
image enhancement have been developed, where the Look-up-table (LUT) has proven
to be an effective tool. In this paper, we delve into the potential of
Contrastive La... | [
{
"created": "Tue, 7 Nov 2023 12:36:20 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Nov 2023 07:52:06 GMT",
"version": "v2"
}
] | 2023-11-23 | [
[
"Chen",
"Weiwen",
""
],
[
"Ke",
"Qiuhong",
""
],
[
"Li",
"Zinuo",
""
]
] | Image enhancement is a significant research area in the fields of computer vision and image processing. In recent years, many learning-based methods for image enhancement have been developed, where the Look-up-table (LUT) has proven to be an effective tool. In this paper, we delve into the potential of Contrastive Lang... |
1312.7581 | Jianshu Chen | Jianshu Chen and Ali H. Sayed | On the Learning Behavior of Adaptive Networks - Part I: Transient
Analysis | to appear in IEEE Transactions on Information Theory, 2015 | null | null | null | cs.MA cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work carries out a detailed transient analysis of the learning behavior
of multi-agent networks, and reveals interesting results about the learning
abilities of distributed strategies. Among other results, the analysis reveals
how combination policies influence the learning process of networked agents,
and how t... | [
{
"created": "Sun, 29 Dec 2013 19:57:14 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Mar 2014 23:09:12 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Apr 2015 21:09:24 GMT",
"version": "v3"
},
{
"created": "Mon, 20 Apr 2015 07:32:28 GMT",
"version": "v4"
}
] | 2015-04-21 | [
[
"Chen",
"Jianshu",
""
],
[
"Sayed",
"Ali H.",
""
]
] | This work carries out a detailed transient analysis of the learning behavior of multi-agent networks, and reveals interesting results about the learning abilities of distributed strategies. Among other results, the analysis reveals how combination policies influence the learning process of networked agents, and how the... |
2010.06925 | Chuhan Wu | Chuhan Wu, Fangzhao Wu, Yongfeng Huang | DA-Transformer: Distance-aware Transformer | To appear in NAACL 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer has achieved great success in the NLP field by composing various
advanced models like BERT and GPT. However, Transformer and its existing
variants may not be optimal in capturing token distances because the position
or distance embeddings used by these methods usually cannot keep the precise
information o... | [
{
"created": "Wed, 14 Oct 2020 10:09:01 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Apr 2021 09:01:02 GMT",
"version": "v2"
}
] | 2021-04-13 | [
[
"Wu",
"Chuhan",
""
],
[
"Wu",
"Fangzhao",
""
],
[
"Huang",
"Yongfeng",
""
]
] | Transformer has achieved great success in the NLP field by composing various advanced models like BERT and GPT. However, Transformer and its existing variants may not be optimal in capturing token distances because the position or distance embeddings used by these methods usually cannot keep the precise information of ... |
2307.14733 | Hengcheng Zhu | Hengcheng Zhu, Lili Wei, Valerio Terragni, Yepang Liu, Shing-Chi
Cheung, Jiarong Wu, Qin Sheng, Bing Zhang, Lihong Song | StubCoder: Automated Generation and Repair of Stub Code for Mock Objects | This paper was accepted by the ACM Transactions on Software
Engineering and Methodology (TOSEM) in July 2023 | null | 10.1145/3617171 | null | cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Mocking is an essential unit testing technique for isolating the class under
test (CUT) from its dependencies. Developers often leverage mocking frameworks
to develop stub code that specifies the behaviors of mock objects. However,
developing and maintaining stub code is labor-intensive and error-prone. In
this paper... | [
{
"created": "Thu, 27 Jul 2023 09:42:40 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Zhu",
"Hengcheng",
""
],
[
"Wei",
"Lili",
""
],
[
"Terragni",
"Valerio",
""
],
[
"Liu",
"Yepang",
""
],
[
"Cheung",
"Shing-Chi",
""
],
[
"Wu",
"Jiarong",
""
],
[
"Sheng",
"Qin",
""
],
[
"Zhang",
... | Mocking is an essential unit testing technique for isolating the class under test (CUT) from its dependencies. Developers often leverage mocking frameworks to develop stub code that specifies the behaviors of mock objects. However, developing and maintaining stub code is labor-intensive and error-prone. In this paper, ... |
1901.11330 | Ioana Suciu | Ioana Suciu, Xavier Vilajosana, Ferran Adelantado | Aggressive Fragmentation Strategy for Enhanced Network Performance in
Dense LPWANs | 2018 IEEE 29th Annual International Symposium on Personal, Indoor and
Mobile Radio Communications (PIMRC) | null | 10.1109/PIMRC.2018.8581051 | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Low Power Wide Area Networks (LPWANs) are gaining ground in the IoT landscape
and, in particular, for Industrial IoT applications. However, given the strict
duty cycle restrictions (e.g. 1% in SubGHz bands) and the limited power supply
of devices, requirements of some applications can not always be met. This paper
an... | [
{
"created": "Thu, 31 Jan 2019 12:35:17 GMT",
"version": "v1"
}
] | 2019-02-01 | [
[
"Suciu",
"Ioana",
""
],
[
"Vilajosana",
"Xavier",
""
],
[
"Adelantado",
"Ferran",
""
]
] | Low Power Wide Area Networks (LPWANs) are gaining ground in the IoT landscape and, in particular, for Industrial IoT applications. However, given the strict duty cycle restrictions (e.g. 1% in SubGHz bands) and the limited power supply of devices, requirements of some applications can not always be met. This paper anal... |
1404.2313 | Eita Nakamura | Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono,
Shigeki Sagayama | Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following | 42 pages, 8 figures, version submitted to JNMR. To appear in Journal
of New Music Research (2014) | Journal of New Music Research, Vol. 43, No. 2 (2014) 183-201 | 10.1080/09298215.2014.884145 | null | cs.AI cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a polyphonic MIDI score-following algorithm capable of following
performances with arbitrary repeats and skips, based on a probabilistic model
of musical performances. It is attractive in practical applications of score
following to handle repeats and skips which may be made arbitrarily during
performances... | [
{
"created": "Tue, 8 Apr 2014 21:48:13 GMT",
"version": "v1"
}
] | 2014-07-08 | [
[
"Nakamura",
"Eita",
""
],
[
"Nakamura",
"Tomohiko",
""
],
[
"Saito",
"Yasuyuki",
""
],
[
"Ono",
"Nobutaka",
""
],
[
"Sagayama",
"Shigeki",
""
]
] | We present a polyphonic MIDI score-following algorithm capable of following performances with arbitrary repeats and skips, based on a probabilistic model of musical performances. It is attractive in practical applications of score following to handle repeats and skips which may be made arbitrarily during performances, ... |
2209.02797 | Adel Hafiane | William Maillet, Maryam Ouhami, Adel Hafiane | Fusion of Satellite Images and Weather Data with Transformer Networks
for Downy Mildew Disease Detection | null | null | 10.1109/ACCESS.2023.3237082 | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Crop diseases significantly affect the quantity and quality of agricultural
production. In a context where the goal of precision agriculture is to minimize
or even avoid the use of pesticides, weather and remote sensing data with deep
learning can play a pivotal role in detecting crop diseases, allowing localized
tre... | [
{
"created": "Tue, 6 Sep 2022 19:55:16 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Maillet",
"William",
""
],
[
"Ouhami",
"Maryam",
""
],
[
"Hafiane",
"Adel",
""
]
] | Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of pesticides, weather and remote sensing data with deep learning can play a pivotal role in detecting crop diseases, allowing localized treat... |
0902.0271 | Jarek Duda | Jarek Duda | Asymmetric numeral systems | 47 pages, 6 figures | null | null | null | cs.IT cs.CR math.GM math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper will be presented new approach to entropy coding: family of
generalizations of standard numeral systems which are optimal for encoding
sequence of equiprobable symbols, into asymmetric numeral systems - optimal for
freely chosen probability distributions of symbols. It has some similarities to
Range Cod... | [
{
"created": "Mon, 2 Feb 2009 16:07:06 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Feb 2009 18:18:17 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Mar 2009 14:09:40 GMT",
"version": "v3"
},
{
"created": "Fri, 3 Apr 2009 19:59:53 GMT",
"version": "v4"
},
{
"cre... | 2009-05-21 | [
[
"Duda",
"Jarek",
""
]
] | In this paper will be presented new approach to entropy coding: family of generalizations of standard numeral systems which are optimal for encoding sequence of equiprobable symbols, into asymmetric numeral systems - optimal for freely chosen probability distributions of symbols. It has some similarities to Range Codin... |
2111.05426 | Keshav Santhanam | Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei
Zaharia | DistIR: An Intermediate Representation and Simulator for Efficient
Neural Network Distribution | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | The rapidly growing size of deep neural network (DNN) models and datasets has
given rise to a variety of distribution strategies such as data, tensor-model,
pipeline parallelism, and hybrid combinations thereof. Each of these strategies
offers its own trade-offs and exhibits optimal performance across different
model... | [
{
"created": "Tue, 9 Nov 2021 21:32:51 GMT",
"version": "v1"
}
] | 2021-11-11 | [
[
"Santhanam",
"Keshav",
""
],
[
"Krishna",
"Siddharth",
""
],
[
"Tomioka",
"Ryota",
""
],
[
"Harris",
"Tim",
""
],
[
"Zaharia",
"Matei",
""
]
] | The rapidly growing size of deep neural network (DNN) models and datasets has given rise to a variety of distribution strategies such as data, tensor-model, pipeline parallelism, and hybrid combinations thereof. Each of these strategies offers its own trade-offs and exhibits optimal performance across different models ... |
1301.2272 | Steven B. Gillispie | Steven B. Gillispie, Michael D. Perlman | Enumerating Markov Equivalence Classes of Acyclic Digraph Models | Appears in Proceedings of the Seventeenth Conference on Uncertainty
in Artificial Intelligence (UAI2001) | null | null | UAI-P-2001-PG-171-177 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graphical Markov models determined by acyclic digraphs (ADGs), also called
directed acyclic graphs (DAGs), are widely studied in statistics, computer
science (as Bayesian networks), operations research (as influence diagrams),
and many related fields. Because different ADGs may determine the same Markov
equivalence c... | [
{
"created": "Thu, 10 Jan 2013 16:23:44 GMT",
"version": "v1"
}
] | 2013-01-14 | [
[
"Gillispie",
"Steven B.",
""
],
[
"Perlman",
"Michael D.",
""
]
] | Graphical Markov models determined by acyclic digraphs (ADGs), also called directed acyclic graphs (DAGs), are widely studied in statistics, computer science (as Bayesian networks), operations research (as influence diagrams), and many related fields. Because different ADGs may determine the same Markov equivalence cla... |
2404.11114 | Cassio Dantas | Cassio F. Dantas (UMR TETIS, INRAE, EVERGREEN), Raffaele Gaetano
(EVERGREEN, Cirad), Claudia Paris, Dino Ienco (EVERGREEN) | Reuse out-of-year data to enhance land cover mapping via feature
disentanglement and contrastive learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Timely up-to-date land use/land cover (LULC) maps play a pivotal role in
supporting agricultural territory management, environmental monitoring and
facilitating well-informed and sustainable decision-making. Typically, when
creating a land cover (LC) map, precise ground truth data is collected through
time-consuming ... | [
{
"created": "Wed, 17 Apr 2024 07:00:20 GMT",
"version": "v1"
}
] | 2024-04-24 | [
[
"Dantas",
"Cassio F.",
"",
"UMR TETIS, INRAE, EVERGREEN"
],
[
"Gaetano",
"Raffaele",
"",
"EVERGREEN, Cirad"
],
[
"Paris",
"Claudia",
"",
"EVERGREEN"
],
[
"Ienco",
"Dino",
"",
"EVERGREEN"
]
] | Timely up-to-date land use/land cover (LULC) maps play a pivotal role in supporting agricultural territory management, environmental monitoring and facilitating well-informed and sustainable decision-making. Typically, when creating a land cover (LC) map, precise ground truth data is collected through time-consuming an... |
1202.5074 | David Eppstein | David Eppstein | Solving Single-digit Sudoku Subproblems | 12 pages, 5 figures. To appear at the 6th International Conference on
Fun with Algorithms (FUN 2012). This revision simplifies the algorithm
description and adds more references to related prior work | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that single-digit "Nishio" subproblems in nxn Sudoku puzzles may be
solved in time o(2^n), faster than previous solutions such as the pattern
overlay method. We also show that single-digit deduction in Sudoku is NP-hard.
| [
{
"created": "Thu, 23 Feb 2012 01:30:56 GMT",
"version": "v1"
},
{
"created": "Sun, 4 Mar 2012 21:52:05 GMT",
"version": "v2"
}
] | 2012-03-06 | [
[
"Eppstein",
"David",
""
]
] | We show that single-digit "Nishio" subproblems in nxn Sudoku puzzles may be solved in time o(2^n), faster than previous solutions such as the pattern overlay method. We also show that single-digit deduction in Sudoku is NP-hard. |
2311.06536 | Jens Parslov | Jens Parslov, Erik Riise, Dim P. Papadopoulos | CrashCar101: Procedural Generation for Damage Assessment | Accepted at WACV 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we are interested in addressing the problem of damage
assessment for vehicles, such as cars. This task requires not only detecting
the location and the extent of the damage but also identifying the damaged
part. To train a computer vision system for the semantic part and damage
segmentation in images, ... | [
{
"created": "Sat, 11 Nov 2023 11:12:28 GMT",
"version": "v1"
}
] | 2023-11-14 | [
[
"Parslov",
"Jens",
""
],
[
"Riise",
"Erik",
""
],
[
"Papadopoulos",
"Dim P.",
""
]
] | In this paper, we are interested in addressing the problem of damage assessment for vehicles, such as cars. This task requires not only detecting the location and the extent of the damage but also identifying the damaged part. To train a computer vision system for the semantic part and damage segmentation in images, we... |
2404.03050 | Laura Weidensager | Daniel Potts and Laura Weidensager | ANOVA-boosting for Random Fourier Features | null | null | null | null | cs.LG cs.NA math.NA stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose two algorithms for boosting random Fourier feature models for
approximating high-dimensional functions. These methods utilize the classical
and generalized analysis of variance (ANOVA) decomposition to learn low-order
functions, where there are few interactions between the variables. Our
algorithms are abl... | [
{
"created": "Wed, 3 Apr 2024 20:34:18 GMT",
"version": "v1"
}
] | 2024-04-05 | [
[
"Potts",
"Daniel",
""
],
[
"Weidensager",
"Laura",
""
]
] | We propose two algorithms for boosting random Fourier feature models for approximating high-dimensional functions. These methods utilize the classical and generalized analysis of variance (ANOVA) decomposition to learn low-order functions, where there are few interactions between the variables. Our algorithms are able ... |
2405.14961 | Chi Hong | Chi Hong, Jiyue Huang, Robert Birke, Dick Epema, Stefanie Roos, Lydia
Y. Chen | SFDDM: Single-fold Distillation for Diffusion models | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While diffusion models effectively generate remarkable synthetic images, a
key limitation is the inference inefficiency, requiring numerous sampling
steps. To accelerate inference and maintain high-quality synthesis,
teacher-student distillation is applied to compress the diffusion models in a
progressive and binary ... | [
{
"created": "Thu, 23 May 2024 18:11:14 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Hong",
"Chi",
""
],
[
"Huang",
"Jiyue",
""
],
[
"Birke",
"Robert",
""
],
[
"Epema",
"Dick",
""
],
[
"Roos",
"Stefanie",
""
],
[
"Chen",
"Lydia Y.",
""
]
] | While diffusion models effectively generate remarkable synthetic images, a key limitation is the inference inefficiency, requiring numerous sampling steps. To accelerate inference and maintain high-quality synthesis, teacher-student distillation is applied to compress the diffusion models in a progressive and binary ma... |
2110.08453 | Wesley Holliday | Wesley H. Holliday, Chase Norman, and Eric Pacuit | Voting Theory in the Lean Theorem Prover | Postprint of the paper in Proceedings of the Eighth International
Conference on Logic, Rationality and Interaction (Springer) with two typos
fixed | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is a long tradition of fruitful interaction between logic and social
choice theory. In recent years, much of this interaction has focused on
computer-aided methods such as SAT solving and interactive theorem proving. In
this paper, we report on the development of a framework for formalizing voting
theory in the... | [
{
"created": "Sat, 16 Oct 2021 03:10:22 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Holliday",
"Wesley H.",
""
],
[
"Norman",
"Chase",
""
],
[
"Pacuit",
"Eric",
""
]
] | There is a long tradition of fruitful interaction between logic and social choice theory. In recent years, much of this interaction has focused on computer-aided methods such as SAT solving and interactive theorem proving. In this paper, we report on the development of a framework for formalizing voting theory in the L... |
2307.07298 | Marcel Beetz | Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau | 3D Shape-Based Myocardial Infarction Prediction Using Point Cloud
Classification Networks | Accepted at EMBC 2023 | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Myocardial infarction (MI) is one of the most prevalent cardiovascular
diseases with associated clinical decision-making typically based on
single-valued imaging biomarkers. However, such metrics only approximate the
complex 3D structure and physiology of the heart and hence hinder a better
understanding and predicti... | [
{
"created": "Fri, 14 Jul 2023 12:21:11 GMT",
"version": "v1"
}
] | 2023-07-17 | [
[
"Beetz",
"Marcel",
""
],
[
"Yang",
"Yilong",
""
],
[
"Banerjee",
"Abhirup",
""
],
[
"Li",
"Lei",
""
],
[
"Grau",
"Vicente",
""
]
] | Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. However, such metrics only approximate the complex 3D structure and physiology of the heart and hence hinder a better understanding and prediction... |
2204.04704 | Aatif Jamshed Mr. | Aatif Jamshed, Bhawna Mallick, Rajendra Kumar Bharti | An Efficient Pattern Mining Convolution Neural Network (CNN) algorithm
with Grey Wolf Optimization (GWO) | null | The Imaging Science Journal 2023 | 10.1080/13682199.2023.2166193 | null | cs.CV cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Automation of feature analysis in the dynamic image frame dataset deals with
complexity of intensity mapping with normal and abnormal class. The
threshold-based data clustering and feature analysis requires iterative model
to learn the component of image frame in multi-pattern for different image
frame data type. Thi... | [
{
"created": "Sun, 10 Apr 2022 15:18:42 GMT",
"version": "v1"
}
] | 2023-01-20 | [
[
"Jamshed",
"Aatif",
""
],
[
"Mallick",
"Bhawna",
""
],
[
"Bharti",
"Rajendra Kumar",
""
]
] | Automation of feature analysis in the dynamic image frame dataset deals with complexity of intensity mapping with normal and abnormal class. The threshold-based data clustering and feature analysis requires iterative model to learn the component of image frame in multi-pattern for different image frame data type. This ... |
1708.04399 | Rajesh Kumar | Rajesh Kumar, Partha Pratim Kundu, Diksha Shukla, Vir V. Phoha | Continuous User Authentication via Unlabeled Phone Movement Patterns | IEEE International Joint Conference on Biometrics (IJCB 2017),
Denver, Colorado | null | null | null | cs.HC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel continuous authentication system for
smartphone users. The proposed system entirely relies on unlabeled phone
movement patterns collected through smartphone accelerometer. The data was
collected in a completely unconstrained environment over five to twelve days.
The contexts of phone... | [
{
"created": "Tue, 15 Aug 2017 05:35:44 GMT",
"version": "v1"
}
] | 2017-08-16 | [
[
"Kumar",
"Rajesh",
""
],
[
"Kundu",
"Partha Pratim",
""
],
[
"Shukla",
"Diksha",
""
],
[
"Phoha",
"Vir V.",
""
]
] | In this paper, we propose a novel continuous authentication system for smartphone users. The proposed system entirely relies on unlabeled phone movement patterns collected through smartphone accelerometer. The data was collected in a completely unconstrained environment over five to twelve days. The contexts of phone u... |
1110.5992 | Timo Aittokoski Dr. | Timo Aittokoski and Suvi Tarkkanen | User preference extraction using dynamic query sliders in conjunction
with UPS-EMO algorithm | null | null | null | null | cs.NE cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One drawback of evolutionary multiobjective optimization algorithms (EMOA)
has traditionally been high computational cost to create an approximation of
the Pareto front: number of required objective function evaluations usually
grows high. On the other hand, for the decision maker (DM) it may be difficult
to select o... | [
{
"created": "Thu, 27 Oct 2011 06:40:45 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Aittokoski",
"Timo",
""
],
[
"Tarkkanen",
"Suvi",
""
]
] | One drawback of evolutionary multiobjective optimization algorithms (EMOA) has traditionally been high computational cost to create an approximation of the Pareto front: number of required objective function evaluations usually grows high. On the other hand, for the decision maker (DM) it may be difficult to select one... |
2203.13714 | Shan You | Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang,
Chang Xu | Searching for Network Width with Bilaterally Coupled Network | Extended version of CVPR 2021 paper BCNet arXiv:2105.10533 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Searching for a more compact network width recently serves as an effective
way of channel pruning for the deployment of convolutional neural networks
(CNNs) under hardware constraints. To fulfill the searching, a one-shot
supernet is usually leveraged to efficiently evaluate the performance
\wrt~different network wid... | [
{
"created": "Fri, 25 Mar 2022 15:32:46 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Su",
"Xiu",
""
],
[
"You",
"Shan",
""
],
[
"Xie",
"Jiyang",
""
],
[
"Wang",
"Fei",
""
],
[
"Qian",
"Chen",
""
],
[
"Zhang",
"Changshui",
""
],
[
"Xu",
"Chang",
""
]
] | Searching for a more compact network width recently serves as an effective way of channel pruning for the deployment of convolutional neural networks (CNNs) under hardware constraints. To fulfill the searching, a one-shot supernet is usually leveraged to efficiently evaluate the performance \wrt~different network width... |
2405.02364 | Yue Cui | Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang
Zhou, and Qiang Yang | A Survey on Contribution Evaluation in Vertical Federated Learning | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vertical Federated Learning (VFL) has emerged as a critical approach in
machine learning to address privacy concerns associated with centralized data
storage and processing. VFL facilitates collaboration among multiple entities
with distinct feature sets on the same user population, enabling the joint
training of pre... | [
{
"created": "Fri, 3 May 2024 06:32:07 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Cui",
"Yue",
""
],
[
"Huang",
"Chung-ju",
""
],
[
"Zhang",
"Yuzhu",
""
],
[
"Wang",
"Leye",
""
],
[
"Fan",
"Lixin",
""
],
[
"Zhou",
"Xiaofang",
""
],
[
"Yang",
"Qiang",
""
]
] | Vertical Federated Learning (VFL) has emerged as a critical approach in machine learning to address privacy concerns associated with centralized data storage and processing. VFL facilitates collaboration among multiple entities with distinct feature sets on the same user population, enabling the joint training of predi... |
2301.12318 | Rui Zhu | Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, Xiaofeng
Wang, Haixu Tang | Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering | null | NDSS Symposium 2024 | 10.14722/ndss.2024.24450 | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Most existing methods to detect backdoored machine learning (ML) models take
one of the two approaches: trigger inversion (aka. reverse engineer) and weight
analysis (aka. model diagnosis). In particular, the gradient-based trigger
inversion is considered to be among the most effective backdoor detection
techniques, ... | [
{
"created": "Sun, 29 Jan 2023 01:17:46 GMT",
"version": "v1"
},
{
"created": "Sat, 2 Mar 2024 22:56:23 GMT",
"version": "v2"
}
] | 2024-07-23 | [
[
"Zhu",
"Rui",
""
],
[
"Tang",
"Di",
""
],
[
"Tang",
"Siyuan",
""
],
[
"Tao",
"Guanhong",
""
],
[
"Ma",
"Shiqing",
""
],
[
"Wang",
"Xiaofeng",
""
],
[
"Tang",
"Haixu",
""
]
] | Most existing methods to detect backdoored machine learning (ML) models take one of the two approaches: trigger inversion (aka. reverse engineer) and weight analysis (aka. model diagnosis). In particular, the gradient-based trigger inversion is considered to be among the most effective backdoor detection techniques, as... |
2107.09285 | Kaylee Burns | Kaylee Burns, Christopher D. Manning, Li Fei-Fei | Neural Abstructions: Abstractions that Support Construction for Grounded
Language Learning | 17 pages, 10 figures | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Although virtual agents are increasingly situated in environments where
natural language is the most effective mode of interaction with humans, these
exchanges are rarely used as an opportunity for learning. Leveraging language
interactions effectively requires addressing limitations in the two most common
approaches... | [
{
"created": "Tue, 20 Jul 2021 07:01:15 GMT",
"version": "v1"
}
] | 2021-07-21 | [
[
"Burns",
"Kaylee",
""
],
[
"Manning",
"Christopher D.",
""
],
[
"Fei-Fei",
"Li",
""
]
] | Although virtual agents are increasingly situated in environments where natural language is the most effective mode of interaction with humans, these exchanges are rarely used as an opportunity for learning. Leveraging language interactions effectively requires addressing limitations in the two most common approaches t... |
1206.6293 | Alexander Sch\"atzle | Martin Przyjaciel-Zablocki, Alexander Sch\"atzle, Thomas Hornung,
Christopher Dorner, Georg Lausen | Cascading map-side joins over HBase for scalable join processing | null | null | null | null | cs.DB cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the major challenges in large-scale data processing with MapReduce is
the smart computation of joins. Since Semantic Web datasets published in RDF
have increased rapidly over the last few years, scalable join techniques become
an important issue for SPARQL query processing as well. In this paper, we
introduce ... | [
{
"created": "Wed, 27 Jun 2012 15:05:05 GMT",
"version": "v1"
}
] | 2012-06-28 | [
[
"Przyjaciel-Zablocki",
"Martin",
""
],
[
"Schätzle",
"Alexander",
""
],
[
"Hornung",
"Thomas",
""
],
[
"Dorner",
"Christopher",
""
],
[
"Lausen",
"Georg",
""
]
] | One of the major challenges in large-scale data processing with MapReduce is the smart computation of joins. Since Semantic Web datasets published in RDF have increased rapidly over the last few years, scalable join techniques become an important issue for SPARQL query processing as well. In this paper, we introduce th... |
2307.15067 | Mike Laszkiewicz | Mike Laszkiewicz, Denis Lukovnikov, Johannes Lederer, Asja Fischer | Set-Membership Inference Attacks using Data Watermarking | Preliminary work | null | null | null | cs.CV cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this work, we propose a set-membership inference attack for generative
models using deep image watermarking techniques. In particular, we demonstrate
how conditional sampling from a generative model can reveal the watermark that
was injected into parts of the training data. Our empirical results demonstrate
that t... | [
{
"created": "Thu, 22 Jun 2023 06:47:56 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Laszkiewicz",
"Mike",
""
],
[
"Lukovnikov",
"Denis",
""
],
[
"Lederer",
"Johannes",
""
],
[
"Fischer",
"Asja",
""
]
] | In this work, we propose a set-membership inference attack for generative models using deep image watermarking techniques. In particular, we demonstrate how conditional sampling from a generative model can reveal the watermark that was injected into parts of the training data. Our empirical results demonstrate that the... |
2103.12687 | Gast\'on M\'arquez | Gast\'on M\'arquez and Carla Taramasco | Evaluating Dissemination and Implementation Strategies to Develop
Clinical Software | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Clinical software has become a significant contribution to support clinical
management and intra-hospital processes. In this regard, the success or failure
of clinical software is mostly yielded on a suitable requirements elicitation
process. Although several techniques and approaches address this process, the
comple... | [
{
"created": "Tue, 23 Mar 2021 17:03:14 GMT",
"version": "v1"
}
] | 2021-03-24 | [
[
"Márquez",
"Gastón",
""
],
[
"Taramasco",
"Carla",
""
]
] | Clinical software has become a significant contribution to support clinical management and intra-hospital processes. In this regard, the success or failure of clinical software is mostly yielded on a suitable requirements elicitation process. Although several techniques and approaches address this process, the complexi... |
1811.00147 | Haoyu Wang | Haoyu Wang, Vivek Kulkarni, William Yang Wang | DOLORES: Deep Contextualized Knowledge Graph Embeddings | 10 pages, 6 figures | Automated Knowledge Base Construction (AKBC), 2020 | null | null | cs.CL cs.AI cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new method DOLORES for learning knowledge graph embeddings
that effectively captures contextual cues and dependencies among entities and
relations. First, we note that short paths on knowledge graphs comprising of
chains of entities and relations can encode valuable information regarding
their contextu... | [
{
"created": "Wed, 31 Oct 2018 22:59:57 GMT",
"version": "v1"
}
] | 2020-07-30 | [
[
"Wang",
"Haoyu",
""
],
[
"Kulkarni",
"Vivek",
""
],
[
"Wang",
"William Yang",
""
]
] | We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations. First, we note that short paths on knowledge graphs comprising of chains of entities and relations can encode valuable information regarding their contextual... |
1503.05637 | Yihua Tan | Yihua Tan and Xiaojun Yuan | Compute-Compress-and-Forward: Exploiting Asymmetry of Wireless Relay
Networks | 23 pages, 4 figures, journal version | null | 10.1109/TSP.2015.2481876 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compute-and-forward (CF) harnesses interference in a wireless networkby
allowing relays to compute combinations of source messages. The computed
message combinations at relays are correlated, and so directly forwarding these
combinations to a destination generally incurs information redundancy and
spectrum inefficien... | [
{
"created": "Thu, 19 Mar 2015 02:52:27 GMT",
"version": "v1"
}
] | 2016-01-20 | [
[
"Tan",
"Yihua",
""
],
[
"Yuan",
"Xiaojun",
""
]
] | Compute-and-forward (CF) harnesses interference in a wireless networkby allowing relays to compute combinations of source messages. The computed message combinations at relays are correlated, and so directly forwarding these combinations to a destination generally incurs information redundancy and spectrum inefficiency... |
2103.12623 | Pedro Filipe Gomes Ramos de Carvalho | Pedro Carvalho, Nuno Louren\c{c}o, Penousal Machado | Evolving Learning Rate Optimizers for Deep Neural Networks | 10 pages, 5 figures | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Neural Networks (ANNs) became popular due to their successful
application difficult problems such image and speech recognition. However, when
practitioners want to design an ANN they need to undergo laborious process of
selecting a set of parameters and topology. Currently, there are several
state-of-the a... | [
{
"created": "Tue, 23 Mar 2021 15:23:57 GMT",
"version": "v1"
}
] | 2021-03-24 | [
[
"Carvalho",
"Pedro",
""
],
[
"Lourenço",
"Nuno",
""
],
[
"Machado",
"Penousal",
""
]
] | Artificial Neural Networks (ANNs) became popular due to their successful application difficult problems such image and speech recognition. However, when practitioners want to design an ANN they need to undergo laborious process of selecting a set of parameters and topology. Currently, there are several state-of-the art... |
1707.05228 | Kumar Sankar Ray | Rajesh Misra, Kumar S. Ray | Object Tracking based on Quantum Particle Swarm Optimization | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In Computer Vision domain, moving Object Tracking considered as one of the
toughest problem.As there so many factors associated like illumination of
light, noise, occlusion, sudden start and stop of moving object, shading which
makes tracking even harder problem not only for dynamic background but also for
static bac... | [
{
"created": "Wed, 24 May 2017 10:29:45 GMT",
"version": "v1"
}
] | 2017-07-18 | [
[
"Misra",
"Rajesh",
""
],
[
"Ray",
"Kumar S.",
""
]
] | In Computer Vision domain, moving Object Tracking considered as one of the toughest problem.As there so many factors associated like illumination of light, noise, occlusion, sudden start and stop of moving object, shading which makes tracking even harder problem not only for dynamic background but also for static backg... |
1508.03415 | Guangkui Xu | Guangkui Xu and Xiwang Cao | Several classes of bent, near-bent and 2-plateaued functions over finite
fields of odd characteristic | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by a recent work of Mesnager, we present several new infinite
families of quadratic ternary bent, near-bent and 2-plateaued functions from
some known quadratic ternary bent functions. Meanwhile, the distribution of the
Walsh spectrum of two class of 2-plateaued functions obtained in this paper is
completely ... | [
{
"created": "Fri, 14 Aug 2015 04:03:09 GMT",
"version": "v1"
}
] | 2015-08-17 | [
[
"Xu",
"Guangkui",
""
],
[
"Cao",
"Xiwang",
""
]
] | Inspired by a recent work of Mesnager, we present several new infinite families of quadratic ternary bent, near-bent and 2-plateaued functions from some known quadratic ternary bent functions. Meanwhile, the distribution of the Walsh spectrum of two class of 2-plateaued functions obtained in this paper is completely de... |
2302.10425 | Chao Qi | Chao Qi, Jianqin Yin, Jinghang Xu, and Pengxiang Ding | Instance-incremental Scene Graph Generation from Real-world Point Clouds
via Normalizing Flows | Accepted by IEEE TCSVT. The supplementary material is available in
the media column of the journal version of the article | null | 10.1109/TCSVT.2023.3289885 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work introduces a new task of instance-incremental scene graph
generation: Given a scene of the point cloud, representing it as a graph and
automatically increasing novel instances. A graph denoting the object layout of
the scene is finally generated. It is an important task since it helps to guide
the insertion... | [
{
"created": "Tue, 21 Feb 2023 03:34:15 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Aug 2023 07:06:35 GMT",
"version": "v2"
}
] | 2023-08-29 | [
[
"Qi",
"Chao",
""
],
[
"Yin",
"Jianqin",
""
],
[
"Xu",
"Jinghang",
""
],
[
"Ding",
"Pengxiang",
""
]
] | This work introduces a new task of instance-incremental scene graph generation: Given a scene of the point cloud, representing it as a graph and automatically increasing novel instances. A graph denoting the object layout of the scene is finally generated. It is an important task since it helps to guide the insertion o... |
1910.06753 | Duygu Ataman | Duygu Ataman, Orhan Firat, Mattia A. Di Gangi, Marcello Federico and
Alexandra Birch | On the Importance of Word Boundaries in Character-level Neural Machine
Translation | To appear at the 3rd Workshop on Neural Generation and Translation
(WNGT 2019) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural Machine Translation (NMT) models generally perform translation using a
fixed-size lexical vocabulary, which is an important bottleneck on their
generalization capability and overall translation quality. The standard
approach to overcome this limitation is to segment words into subword units,
typically using so... | [
{
"created": "Tue, 15 Oct 2019 13:54:44 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Oct 2019 08:52:02 GMT",
"version": "v2"
}
] | 2019-10-22 | [
[
"Ataman",
"Duygu",
""
],
[
"Firat",
"Orhan",
""
],
[
"Di Gangi",
"Mattia A.",
""
],
[
"Federico",
"Marcello",
""
],
[
"Birch",
"Alexandra",
""
]
] | Neural Machine Translation (NMT) models generally perform translation using a fixed-size lexical vocabulary, which is an important bottleneck on their generalization capability and overall translation quality. The standard approach to overcome this limitation is to segment words into subword units, typically using some... |
2209.02235 | Junaed Younus Khan | Junaed Younus Khan, Gias Uddin | Automatic Code Documentation Generation Using GPT-3 | Accepted in IEEE/ACM International Conference on Automated Software
Engineering (ASE 2022) - NIER | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Source code documentation is an important artifact for efficient software
development. Code documentation could greatly benefit from automation since
manual documentation is often labouring, resource and time-intensive. In this
paper, we employed Codex for automatic code documentation creation. Codex is a
GPT-3 based... | [
{
"created": "Tue, 6 Sep 2022 06:10:03 GMT",
"version": "v1"
}
] | 2022-09-07 | [
[
"Khan",
"Junaed Younus",
""
],
[
"Uddin",
"Gias",
""
]
] | Source code documentation is an important artifact for efficient software development. Code documentation could greatly benefit from automation since manual documentation is often labouring, resource and time-intensive. In this paper, we employed Codex for automatic code documentation creation. Codex is a GPT-3 based m... |
1905.04579 | Ting Chen | Ting Chen, Song Bian, Yizhou Sun | Are Powerful Graph Neural Nets Necessary? A Dissection on Graph
Classification | A shorter version titled "Graph Feature Networks" was accepted to
ICLR'19 RLGM workshop. code available at https://github.com/chentingpc/gfn | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Nets (GNNs) have received increasing attentions, partially due
to their superior performance in many node and graph classification tasks.
However, there is a lack of understanding on what they are learning and how
sophisticated the learned graph functions are. In this work, we propose a
dissection of GNN... | [
{
"created": "Sat, 11 May 2019 19:47:19 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2019 04:45:21 GMT",
"version": "v2"
},
{
"created": "Tue, 9 Jun 2020 22:32:19 GMT",
"version": "v3"
}
] | 2020-06-11 | [
[
"Chen",
"Ting",
""
],
[
"Bian",
"Song",
""
],
[
"Sun",
"Yizhou",
""
]
] | Graph Neural Nets (GNNs) have received increasing attentions, partially due to their superior performance in many node and graph classification tasks. However, there is a lack of understanding on what they are learning and how sophisticated the learned graph functions are. In this work, we propose a dissection of GNNs ... |
1712.07257 | Naiyan Wang | Jianfu Zhang, Naiyan Wang, Liqing Zhang | Multi-shot Pedestrian Re-identification via Sequential Decision Making | null | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-shot pedestrian re-identification problem is at the core of
surveillance video analysis. It matches two tracks of pedestrians from
different cameras. In contrary to existing works that aggregate single frames
features by time series model such as recurrent neural network, in this paper,
we propose an interpreta... | [
{
"created": "Tue, 19 Dec 2017 23:24:04 GMT",
"version": "v1"
},
{
"created": "Wed, 9 May 2018 02:53:06 GMT",
"version": "v2"
}
] | 2018-05-10 | [
[
"Zhang",
"Jianfu",
""
],
[
"Wang",
"Naiyan",
""
],
[
"Zhang",
"Liqing",
""
]
] | Multi-shot pedestrian re-identification problem is at the core of surveillance video analysis. It matches two tracks of pedestrians from different cameras. In contrary to existing works that aggregate single frames features by time series model such as recurrent neural network, in this paper, we propose an interpretabl... |
1103.1598 | Martin Haenggi | Martin Haenggi | Mean Interference in Hard-Core Wireless Networks | null | null | null | null | cs.IT cs.NI math.IT math.PR math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mat\'ern hard core processes of types I and II are the point processes of
choice to model concurrent transmitters in CSMA networks. We determine the mean
interference observed at a node of the process and compare it with the mean
interference in a Poisson point process of the same density. It turns out that
despite t... | [
{
"created": "Tue, 8 Mar 2011 18:43:31 GMT",
"version": "v1"
}
] | 2011-03-09 | [
[
"Haenggi",
"Martin",
""
]
] | Mat\'ern hard core processes of types I and II are the point processes of choice to model concurrent transmitters in CSMA networks. We determine the mean interference observed at a node of the process and compare it with the mean interference in a Poisson point process of the same density. It turns out that despite the... |
1909.02063 | Bas Hofstra | Bas Hofstra, Vivek V. Kulkarni, Sebastian Munoz-Najar Galvez, Bryan
He, Dan Jurafsky, Daniel A. McFarland | The Diversity-Innovation Paradox in Science | Updated paper; tightened up terminology, added better theoretical
explanation, tested for a mechanism in the updated paper, added robustness
analyses, updated and improved metrics across the board | null | 10.1073/pnas.1915378117 | null | cs.SI cs.CL stat.AP stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Prior work finds a diversity paradox: diversity breeds innovation, and yet,
underrepresented groups that diversify organizations have less successful
careers within them. Does the diversity paradox hold for scientists as well? We
study this by utilizing a near-population of ~1.2 million US doctoral
recipients from 19... | [
{
"created": "Wed, 4 Sep 2019 19:10:20 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jan 2020 02:31:51 GMT",
"version": "v2"
}
] | 2022-10-12 | [
[
"Hofstra",
"Bas",
""
],
[
"Kulkarni",
"Vivek V.",
""
],
[
"Galvez",
"Sebastian Munoz-Najar",
""
],
[
"He",
"Bryan",
""
],
[
"Jurafsky",
"Dan",
""
],
[
"McFarland",
"Daniel A.",
""
]
] | Prior work finds a diversity paradox: diversity breeds innovation, and yet, underrepresented groups that diversify organizations have less successful careers within them. Does the diversity paradox hold for scientists as well? We study this by utilizing a near-population of ~1.2 million US doctoral recipients from 1977... |
1811.03924 | Yongseok Jeon | Yongseok Jeon, Seungho Kuk, and Hyogon Kim | Reducing Message Collisions in Sensing-based Semi-Persistent Scheduling
(SPS) by Using Reselection Lookaheads in Cellular V2X | Submitted to MDPI Sensors | Sensors 2018, 18, 4388 | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the C-V2X sidelink Mode 4 communication, the sensing-based semi-persistent
scheduling (SPS) implements a message collision avoidance algorithm to cope
with the undesirable effects of wireless channel congestion. Still, the current
standard mechanism produces high number of packet collisions, which may hinder
the h... | [
{
"created": "Fri, 9 Nov 2018 14:32:49 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Jan 2019 01:23:40 GMT",
"version": "v2"
}
] | 2019-01-08 | [
[
"Jeon",
"Yongseok",
""
],
[
"Kuk",
"Seungho",
""
],
[
"Kim",
"Hyogon",
""
]
] | In the C-V2X sidelink Mode 4 communication, the sensing-based semi-persistent scheduling (SPS) implements a message collision avoidance algorithm to cope with the undesirable effects of wireless channel congestion. Still, the current standard mechanism produces high number of packet collisions, which may hinder the hig... |
2403.02784 | Lushuang Wang | Lingyan Ran and Lushuang Wang and Tao Zhuo and Yinghui Xing | DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image
Semantic Segmentation with Unsupervised Domain Adaptation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation of remote sensing images is a challenging and hot issue
due to the large amount of unlabeled data. Unsupervised domain adaptation (UDA)
has proven to be advantageous in incorporating unclassified information from
the target domain. However, independently fine-tuning UDA models on the source
and ... | [
{
"created": "Tue, 5 Mar 2024 08:57:28 GMT",
"version": "v1"
}
] | 2024-03-06 | [
[
"Ran",
"Lingyan",
""
],
[
"Wang",
"Lushuang",
""
],
[
"Zhuo",
"Tao",
""
],
[
"Xing",
"Yinghui",
""
]
] | Semantic segmentation of remote sensing images is a challenging and hot issue due to the large amount of unlabeled data. Unsupervised domain adaptation (UDA) has proven to be advantageous in incorporating unclassified information from the target domain. However, independently fine-tuning UDA models on the source and ta... |
2303.15799 | Yuan Wenhao | Wenhao Yuan and Xuehe Wang | FedAgg: Adaptive Federated Learning with Aggregated Gradients | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) has emerged as a pivotal paradigm within distributed
model training, facilitating collaboration among multiple devices to refine a
shared model, harnessing their respective datasets as orchestrated by a central
server, while ensuring the localization of private data. Nonetheless, the
non-indep... | [
{
"created": "Tue, 28 Mar 2023 08:07:28 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Apr 2023 09:31:55 GMT",
"version": "v2"
},
{
"created": "Wed, 29 Nov 2023 14:41:33 GMT",
"version": "v3"
},
{
"created": "Fri, 12 Apr 2024 06:26:04 GMT",
"version": "v4"
}
] | 2024-04-15 | [
[
"Yuan",
"Wenhao",
""
],
[
"Wang",
"Xuehe",
""
]
] | Federated Learning (FL) has emerged as a pivotal paradigm within distributed model training, facilitating collaboration among multiple devices to refine a shared model, harnessing their respective datasets as orchestrated by a central server, while ensuring the localization of private data. Nonetheless, the non-indepen... |
2405.01207 | Karla Pizzi | Francisco Teixeira, Karla Pizzi, Raphael Olivier, Alberto Abad,
Bhiksha Raj and Isabel Trancoso | Improving Membership Inference in ASR Model Auditing with Perturbed Loss
Features | Trustworthy Speech Processing, Satellite Workshop at ICASSP 2024 | null | null | null | cs.LG cs.CR cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Membership Inference (MI) poses a substantial privacy threat to the training
data of Automatic Speech Recognition (ASR) systems, while also offering an
opportunity to audit these models with regard to user data. This paper explores
the effectiveness of loss-based features in combination with Gaussian and
adversarial ... | [
{
"created": "Thu, 2 May 2024 11:48:30 GMT",
"version": "v1"
}
] | 2024-05-03 | [
[
"Teixeira",
"Francisco",
""
],
[
"Pizzi",
"Karla",
""
],
[
"Olivier",
"Raphael",
""
],
[
"Abad",
"Alberto",
""
],
[
"Raj",
"Bhiksha",
""
],
[
"Trancoso",
"Isabel",
""
]
] | Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these models with regard to user data. This paper explores the effectiveness of loss-based features in combination with Gaussian and adversarial pe... |
1001.3932 | T.R. Gopalakrishnan Nair | H. A. Padmini, A. Keshav Bharadwaj, T. R. Gopalakrishnan Nair | Approaches to Curriculum and Teaching Materials to Bring Out Better
Skilled Software Engineers-An Indian Perspective | 7 pages, 2 figures | EDULEARN09 pp 1821-1825, 2009 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Development of Curriculum and delivery materials has undergone changes over a
period of time, in undergraduate engineering degree system in Indian
universities. However, there exists a gap between industry expectations in IT
field and skills and knowledge that the graduating engineers possess and this
continues to gr... | [
{
"created": "Fri, 22 Jan 2010 07:53:04 GMT",
"version": "v1"
}
] | 2016-09-08 | [
[
"Padmini",
"H. A.",
""
],
[
"Bharadwaj",
"A. Keshav",
""
],
[
"Nair",
"T. R. Gopalakrishnan",
""
]
] | Development of Curriculum and delivery materials has undergone changes over a period of time, in undergraduate engineering degree system in Indian universities. However, there exists a gap between industry expectations in IT field and skills and knowledge that the graduating engineers possess and this continues to grow... |
2311.06973 | Behrouz Azimian | Behrouz Azimian, Shiva Moshtagh, Anamitra Pal, Shanshan Ma | Analytical Verification of Performance of Deep Neural Network Based
Time-Synchronized Distribution System State Estimation | 8 pages, in Journal of Modern Power Systems and Clean Energy, 2023 | null | 10.35833/MPCE.2023.000432 | null | cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, we demonstrated success of a time-synchronized state estimator
using deep neural networks (DNNs) for real-time unobservable distribution
systems. In this letter, we provide analytical bounds on the performance of
that state estimator as a function of perturbations in the input measurements.
It has already b... | [
{
"created": "Sun, 12 Nov 2023 22:01:34 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Feb 2024 21:40:46 GMT",
"version": "v2"
},
{
"created": "Tue, 20 Feb 2024 23:37:08 GMT",
"version": "v3"
},
{
"created": "Thu, 22 Feb 2024 16:33:10 GMT",
"version": "v4"
}
] | 2024-02-23 | [
[
"Azimian",
"Behrouz",
""
],
[
"Moshtagh",
"Shiva",
""
],
[
"Pal",
"Anamitra",
""
],
[
"Ma",
"Shanshan",
""
]
] | Recently, we demonstrated success of a time-synchronized state estimator using deep neural networks (DNNs) for real-time unobservable distribution systems. In this letter, we provide analytical bounds on the performance of that state estimator as a function of perturbations in the input measurements. It has already bee... |
1901.01239 | Jinyu Li | Ke Li, Jinyu Li, Yong Zhao, Kshitiz Kumar, Yifan Gong | Speaker Adaptation for End-to-End CTC Models | published at IEEE Workshop of Spoken Language Technology | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose two approaches for speaker adaptation in end-to-end (E2E)
automatic speech recognition systems. One is Kullback-Leibler divergence (KLD)
regularization and the other is multi-task learning (MTL). Both approaches aim
to address the data sparsity especially output target sparsity issue of speaker
adaptation ... | [
{
"created": "Fri, 4 Jan 2019 18:38:11 GMT",
"version": "v1"
}
] | 2019-01-07 | [
[
"Li",
"Ke",
""
],
[
"Li",
"Jinyu",
""
],
[
"Zhao",
"Yong",
""
],
[
"Kumar",
"Kshitiz",
""
],
[
"Gong",
"Yifan",
""
]
] | We propose two approaches for speaker adaptation in end-to-end (E2E) automatic speech recognition systems. One is Kullback-Leibler divergence (KLD) regularization and the other is multi-task learning (MTL). Both approaches aim to address the data sparsity especially output target sparsity issue of speaker adaptation in... |
1311.5447 | Carmi Grushko | Carmi Grushko | Reducing Linear Programs into Min-max Problems | null | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show how to reduce a general, strictly-feasible LP problem, into a min-max
problem, which can be solved by the algorithm from the third section of my
thesis.
| [
{
"created": "Thu, 21 Nov 2013 15:29:30 GMT",
"version": "v1"
}
] | 2013-11-22 | [
[
"Grushko",
"Carmi",
""
]
] | We show how to reduce a general, strictly-feasible LP problem, into a min-max problem, which can be solved by the algorithm from the third section of my thesis. |
2404.04922 | Yigang Zhao | Yigang Zhao Chaowei Zheng, Jiannan Su, GuangyongChen and MinGan | Efficient Learnable Collaborative Attention for Single Image
Super-Resolution | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-Local Attention (NLA) is a powerful technique for capturing long-range
feature correlations in deep single image super-resolution (SR). However, NLA
suffers from high computational complexity and memory consumption, as it
requires aggregating all non-local feature information for each query response
and recalcula... | [
{
"created": "Sun, 7 Apr 2024 11:25:04 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Zheng",
"Yigang Zhao Chaowei",
""
],
[
"Su",
"Jiannan",
""
],
[
"GuangyongChen",
"",
""
],
[
"MinGan",
"",
""
]
] | Non-Local Attention (NLA) is a powerful technique for capturing long-range feature correlations in deep single image super-resolution (SR). However, NLA suffers from high computational complexity and memory consumption, as it requires aggregating all non-local feature information for each query response and recalculati... |
1408.1995 | Ilya Volkovich | Ilya Volkovich | Characterizing Arithmetic Read-Once Formulae | null | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An \emph{arithmetic read-once formula} (ROF for short) is a formula (i.e. a
tree of computation) in which the operations are $\{+,\times\}$ and such that
every input variable labels at most one leaf. We give a simple characterization
of such formulae. Other than being interesting in its own right, our
characterizatio... | [
{
"created": "Fri, 8 Aug 2014 23:47:25 GMT",
"version": "v1"
}
] | 2014-08-12 | [
[
"Volkovich",
"Ilya",
""
]
] | An \emph{arithmetic read-once formula} (ROF for short) is a formula (i.e. a tree of computation) in which the operations are $\{+,\times\}$ and such that every input variable labels at most one leaf. We give a simple characterization of such formulae. Other than being interesting in its own right, our characterization ... |
0711.3457 | Eric Laporte | Eric Laporte (IGM-LabInfo) | Evaluation of a Grammar of French Determiners | 10 pages | Dans Annals of the 27th Congress of the Brazilian Society of
Computation - Evaluation of a Grammar of French Determiners, Rio de Janeiro :
Br\'esil (2007) | null | null | cs.CL | null | Existing syntactic grammars of natural languages, even with a far from
complete coverage, are complex objects. Assessments of the quality of parts of
such grammars are useful for the validation of their construction. We evaluated
the quality of a grammar of French determiners that takes the form of a
recursive transi... | [
{
"created": "Wed, 21 Nov 2007 20:49:21 GMT",
"version": "v1"
}
] | 2007-11-22 | [
[
"Laporte",
"Eric",
"",
"IGM-LabInfo"
]
] | Existing syntactic grammars of natural languages, even with a far from complete coverage, are complex objects. Assessments of the quality of parts of such grammars are useful for the validation of their construction. We evaluated the quality of a grammar of French determiners that takes the form of a recursive transiti... |
1705.07594 | Hao Wang | Hao Wang, Xingyu Lin, Yimeng Zhang, Tai Sing Lee | Learning Robust Object Recognition Using Composed Scenes from Generative
Models | Accepted by 14th Conference on Computer and Robot Vision | null | 10.1109/CRV.2017.42 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recurrent feedback connections in the mammalian visual system have been
hypothesized to play a role in synthesizing input in the theoretical framework
of analysis by synthesis. The comparison of internally synthesized
representation with that of the input provides a validation mechanism during
perceptual inference an... | [
{
"created": "Mon, 22 May 2017 07:50:24 GMT",
"version": "v1"
}
] | 2017-05-23 | [
[
"Wang",
"Hao",
""
],
[
"Lin",
"Xingyu",
""
],
[
"Zhang",
"Yimeng",
""
],
[
"Lee",
"Tai Sing",
""
]
] | Recurrent feedback connections in the mammalian visual system have been hypothesized to play a role in synthesizing input in the theoretical framework of analysis by synthesis. The comparison of internally synthesized representation with that of the input provides a validation mechanism during perceptual inference and ... |
1804.05644 | Andreas Paraskevopoulos | Kalliopi Giannakopoulou, Andreas Paraskevopoulos and Christos
Zaroliagis | Multimodal Dynamic Journey Planning | null | null | null | null | cs.DS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present multimodal DTM, a new model for multimodal journey planning in
public (schedule-based) transport networks. Multimodal DTM constitutes an
extension of the dynamic timetable model (DTM), developed originally for
unimodal journey planning. Multimodal DTM exhibits a very fast query algorithm,
meeting the reque... | [
{
"created": "Mon, 16 Apr 2018 12:58:24 GMT",
"version": "v1"
}
] | 2018-04-17 | [
[
"Giannakopoulou",
"Kalliopi",
""
],
[
"Paraskevopoulos",
"Andreas",
""
],
[
"Zaroliagis",
"Christos",
""
]
] | We present multimodal DTM, a new model for multimodal journey planning in public (schedule-based) transport networks. Multimodal DTM constitutes an extension of the dynamic timetable model (DTM), developed originally for unimodal journey planning. Multimodal DTM exhibits a very fast query algorithm, meeting the request... |
1907.01224 | Jake Chandler | Jake Chandler and Richard Booth | Elementary Iterated Revision and the Levi Identity | Extended version of a paper accepted to LORI 2019 (22 pages) | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has considered the problem of extending to the case of iterated
belief change the so-called `Harper Identity' (HI), which defines single-shot
contraction in terms of single-shot revision. The present paper considers the
prospects of providing a similar extension of the Levi Identity (LI), in which
the dir... | [
{
"created": "Tue, 2 Jul 2019 08:14:38 GMT",
"version": "v1"
}
] | 2019-07-03 | [
[
"Chandler",
"Jake",
""
],
[
"Booth",
"Richard",
""
]
] | Recent work has considered the problem of extending to the case of iterated belief change the so-called `Harper Identity' (HI), which defines single-shot contraction in terms of single-shot revision. The present paper considers the prospects of providing a similar extension of the Levi Identity (LI), in which the direc... |
2307.08076 | Shuoyen Lin | Shuo-Yen Lin, Ernie Chu, Che-Hsien Lin, Jun-Cheng Chen, Jia-Ching Wang | Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based
on Diffusion Model for Object Detector | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Many physical adversarial patch generation methods are widely proposed to
protect personal privacy from malicious monitoring using object detectors.
However, they usually fail to generate satisfactory patch images in terms of
both stealthiness and attack performance without making huge efforts on careful
hyperparamet... | [
{
"created": "Sun, 16 Jul 2023 15:22:30 GMT",
"version": "v1"
}
] | 2023-07-18 | [
[
"Lin",
"Shuo-Yen",
""
],
[
"Chu",
"Ernie",
""
],
[
"Lin",
"Che-Hsien",
""
],
[
"Chen",
"Jun-Cheng",
""
],
[
"Wang",
"Jia-Ching",
""
]
] | Many physical adversarial patch generation methods are widely proposed to protect personal privacy from malicious monitoring using object detectors. However, they usually fail to generate satisfactory patch images in terms of both stealthiness and attack performance without making huge efforts on careful hyperparameter... |
1606.01946 | Roy Fox | Roy Fox, Naftali Tishby | Minimum-Information LQG Control - Part I: Memoryless Controllers | null | 55th IEEE Conference on Decision and Control (CDC 2016) | null | null | cs.SY cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increased demand for power efficiency in feedback-control systems,
communication is becoming a limiting factor, raising the need to trade off the
external cost that they incur with the capacity of the controller's
communication channels. With a proper design of the channels, this translates
into a sequential... | [
{
"created": "Mon, 6 Jun 2016 21:24:51 GMT",
"version": "v1"
},
{
"created": "Sat, 11 Jun 2016 10:19:50 GMT",
"version": "v2"
},
{
"created": "Sun, 18 Sep 2016 17:43:29 GMT",
"version": "v3"
},
{
"created": "Thu, 30 Mar 2017 05:03:04 GMT",
"version": "v4"
}
] | 2018-02-01 | [
[
"Fox",
"Roy",
""
],
[
"Tishby",
"Naftali",
""
]
] | With the increased demand for power efficiency in feedback-control systems, communication is becoming a limiting factor, raising the need to trade off the external cost that they incur with the capacity of the controller's communication channels. With a proper design of the channels, this translates into a sequential r... |
2207.13649 | Artyom Sorokin | Artyom Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail Burtsev | Explain My Surprise: Learning Efficient Long-Term Memory by Predicting
Uncertain Outcomes | null | Advances in Neural Information Processing Systems 35 (NeurIPS
2022) | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many sequential tasks, a model needs to remember relevant events from the
distant past to make correct predictions. Unfortunately, a straightforward
application of gradient based training requires intermediate computations to be
stored for every element of a sequence. This requires to store prohibitively
large int... | [
{
"created": "Wed, 27 Jul 2022 17:12:47 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Nov 2022 18:21:06 GMT",
"version": "v2"
}
] | 2023-08-14 | [
[
"Sorokin",
"Artyom",
""
],
[
"Buzun",
"Nazar",
""
],
[
"Pugachev",
"Leonid",
""
],
[
"Burtsev",
"Mikhail",
""
]
] | In many sequential tasks, a model needs to remember relevant events from the distant past to make correct predictions. Unfortunately, a straightforward application of gradient based training requires intermediate computations to be stored for every element of a sequence. This requires to store prohibitively large inter... |
1909.10743 | Ting-Rui Chiang | Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen | An Empirical Study of Content Understanding in Conversational Question
Answering | Published at AAAI 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With a lot of work about context-free question answering systems, there is an
emerging trend of conversational question answering models in the natural
language processing field. Thanks to the recently collected datasets, including
QuAC and CoQA, there has been more work on conversational question answering,
and rece... | [
{
"created": "Tue, 24 Sep 2019 07:36:45 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Nov 2019 09:49:46 GMT",
"version": "v2"
}
] | 2019-11-28 | [
[
"Chiang",
"Ting-Rui",
""
],
[
"Ye",
"Hao-Tong",
""
],
[
"Chen",
"Yun-Nung",
""
]
] | With a lot of work about context-free question answering systems, there is an emerging trend of conversational question answering models in the natural language processing field. Thanks to the recently collected datasets, including QuAC and CoQA, there has been more work on conversational question answering, and recent... |
1810.07880 | Zhili Chen Dr. | Zhili Chen, Xuemei Wei, Hong Zhong, Jie Cui, Yan Xu, Shun Zhang | Making Double Spectrum Auction Practical: Both Privacy and Efficiency
Matter | 11 pages, 6figures | IWQoS 2017 | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Truthful spectrum auction is believed to be an effective method for spectrum
redistribution. However, privacy concerns have largely hampered the practical
applications of truthful spectrum auctions. In this paper, to make the
applications of double spectrum auctions practical, we present a
privacy-preserving and soci... | [
{
"created": "Thu, 18 Oct 2018 02:42:46 GMT",
"version": "v1"
}
] | 2019-08-13 | [
[
"Chen",
"Zhili",
""
],
[
"Wei",
"Xuemei",
""
],
[
"Zhong",
"Hong",
""
],
[
"Cui",
"Jie",
""
],
[
"Xu",
"Yan",
""
],
[
"Zhang",
"Shun",
""
]
] | Truthful spectrum auction is believed to be an effective method for spectrum redistribution. However, privacy concerns have largely hampered the practical applications of truthful spectrum auctions. In this paper, to make the applications of double spectrum auctions practical, we present a privacy-preserving and social... |
2311.01130 | Michela Perino PhD | Michela Perino, Michele Ginolfi, Anna Candida Felici, Michela
Rosellini | A deep learning experiment for semantic segmentation of overlapping
characters in palimpsests | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Palimpsests refer to historical manuscripts where erased writings have been
partially covered by the superimposition of a second writing. By employing
imaging techniques, e.g., multispectral imaging, it becomes possible to
identify features that are imperceptible to the naked eye, including faded and
erased inks. Whe... | [
{
"created": "Thu, 2 Nov 2023 10:25:47 GMT",
"version": "v1"
}
] | 2023-11-03 | [
[
"Perino",
"Michela",
""
],
[
"Ginolfi",
"Michele",
""
],
[
"Felici",
"Anna Candida",
""
],
[
"Rosellini",
"Michela",
""
]
] | Palimpsests refer to historical manuscripts where erased writings have been partially covered by the superimposition of a second writing. By employing imaging techniques, e.g., multispectral imaging, it becomes possible to identify features that are imperceptible to the naked eye, including faded and erased inks. When ... |
1212.6058 | Jian Zhang | Xinwei Gao, Jian Zhang, Feng Jiang, Xiaopeng Fan, Siwei Ma, Debin Zhao | High Quality Image Interpolation via Local Autoregressive and Nonlocal
3-D Sparse Regularization | 4 pages, 5 figures, 2 tables, to be published at IEEE Visual
Communications and Image Processing (VCIP) 2012 | null | 10.1109/VCIP.2012.6410749 | null | cs.MM cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel image interpolation algorithm, which is
formulated via combining both the local autoregressive (AR) model and the
nonlocal adaptive 3-D sparse model as regularized constraints under the
regularization framework. Estimating the high-resolution image by the local AR
regularization is d... | [
{
"created": "Tue, 25 Dec 2012 14:28:52 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Gao",
"Xinwei",
""
],
[
"Zhang",
"Jian",
""
],
[
"Jiang",
"Feng",
""
],
[
"Fan",
"Xiaopeng",
""
],
[
"Ma",
"Siwei",
""
],
[
"Zhao",
"Debin",
""
]
] | In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse model as regularized constraints under the regularization framework. Estimating the high-resolution image by the local AR regularization is dif... |
0709.3553 | Sergey Andreyev | Sergey Andreyev | Design of moveable and resizable graphics | 21 pages, 7 figures | null | null | null | cs.GR cs.HC | null | We are communicating with computers on two different levels. On upper level
we have a very flexible system of windows: we can move them, resize, overlap or
put side by side. At any moment we decide what would be the best view and
reorganize the whole view easily. Then we start any application, go to the
inner level, ... | [
{
"created": "Sat, 22 Sep 2007 00:21:08 GMT",
"version": "v1"
}
] | 2007-09-25 | [
[
"Andreyev",
"Sergey",
""
]
] | We are communicating with computers on two different levels. On upper level we have a very flexible system of windows: we can move them, resize, overlap or put side by side. At any moment we decide what would be the best view and reorganize the whole view easily. Then we start any application, go to the inner level, an... |
2312.16977 | Reiner H\"ahnle | Reiner H\"ahnle (TU Darmstadt, Germany), Ludovic Henrio (Univ Lyon -
EnsL - UCBL - CNRS - Inria - LIP, France) | Provably Fair Cooperative Scheduling | null | The Art, Science, and Engineering of Programming, 2024, Vol. 8,
Issue 2, Article 6 | 10.22152/programming-journal.org/2024/8/6 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The context of this work is cooperative scheduling, a concurrency paradigm,
where task execution is not arbitrarily preempted. Instead, language constructs
exist that let a task voluntarily yield the right to execute to another task.
The inquiry is the design of provably fair schedulers and suitable notions of
fair... | [
{
"created": "Thu, 28 Dec 2023 11:41:42 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Hähnle",
"Reiner",
"",
"TU Darmstadt, Germany"
],
[
"Henrio",
"Ludovic",
"",
"Univ Lyon -\n EnsL - UCBL - CNRS - Inria - LIP, France"
]
] | The context of this work is cooperative scheduling, a concurrency paradigm, where task execution is not arbitrarily preempted. Instead, language constructs exist that let a task voluntarily yield the right to execute to another task. The inquiry is the design of provably fair schedulers and suitable notions of fairness... |
2209.08873 | S.J.Ben Yoo | S. J. Ben Yoo | New Trends in Photonic Switching and Optical Network Architecture for
Data Centre and Computing Systems | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | AI/ML for data centres and data centres for AI/ML are defining new trends in
cloud computing. Disaggregated heterogeneous reconfigurable computing systems
realized by photonic interconnects and photonic switching expect greatly
enhanced throughput and energy-efficiency for AI/ML workloads, especially when
aided by an... | [
{
"created": "Mon, 19 Sep 2022 09:28:17 GMT",
"version": "v1"
}
] | 2022-09-20 | [
[
"Yoo",
"S. J. Ben",
""
]
] | AI/ML for data centres and data centres for AI/ML are defining new trends in cloud computing. Disaggregated heterogeneous reconfigurable computing systems realized by photonic interconnects and photonic switching expect greatly enhanced throughput and energy-efficiency for AI/ML workloads, especially when aided by an A... |
1806.09060 | Samuel Ainsworth | Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox | Disentangled VAE Representations for Multi-Aspect and Missing Data | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many problems in machine learning and related application areas are
fundamentally variants of conditional modeling and sampling across multi-aspect
data, either multi-view, multi-modal, or simply multi-group. For example,
sampling from the distribution of English sentences conditioned on a given
French sentence or sa... | [
{
"created": "Sun, 24 Jun 2018 01:06:06 GMT",
"version": "v1"
}
] | 2018-06-26 | [
[
"Ainsworth",
"Samuel K.",
""
],
[
"Foti",
"Nicholas J.",
""
],
[
"Fox",
"Emily B.",
""
]
] | Many problems in machine learning and related application areas are fundamentally variants of conditional modeling and sampling across multi-aspect data, either multi-view, multi-modal, or simply multi-group. For example, sampling from the distribution of English sentences conditioned on a given French sentence or samp... |
2003.14027 | Rohit Murali | Rohit Murali, Suravi Patnaik, Stephen Cranefield | Mining International Political Norms from the GDELT Database | 16 pages, 2 figures, pre-print for International Workshop on
Coordination, Organizations, Institutions, Norms and Ethics for Governance of
Multi-Agent Systems (COINE), co-located with AAMAS 2020 | null | 10.1007/978-3-030-72376-7_3 | null | cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Researchers have long been interested in the role that norms can play in
governing agent actions in multi-agent systems. Much work has been done on
formalising normative concepts from human society and adapting them for the
government of open software systems, and on the simulation of normative
processes in human and... | [
{
"created": "Tue, 31 Mar 2020 08:48:37 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Apr 2020 16:11:13 GMT",
"version": "v2"
}
] | 2022-11-02 | [
[
"Murali",
"Rohit",
""
],
[
"Patnaik",
"Suravi",
""
],
[
"Cranefield",
"Stephen",
""
]
] | Researchers have long been interested in the role that norms can play in governing agent actions in multi-agent systems. Much work has been done on formalising normative concepts from human society and adapting them for the government of open software systems, and on the simulation of normative processes in human and a... |
2207.11565 | Marcin Pietron | Michal Karwatowski and Marcin Pietron | Context based lemmatizer for Polish language | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Lemmatization is the process of grouping together the inflected forms of a
word so they can be analysed as a single item, identified by the word's lemma,
or dictionary form. In computational linguistics, lemmatisation is the
algorithmic process of determining the lemma of a word based on its intended
meaning. Unlike ... | [
{
"created": "Sat, 23 Jul 2022 18:02:16 GMT",
"version": "v1"
}
] | 2022-07-26 | [
[
"Karwatowski",
"Michal",
""
],
[
"Pietron",
"Marcin",
""
]
] | Lemmatization is the process of grouping together the inflected forms of a word so they can be analysed as a single item, identified by the word's lemma, or dictionary form. In computational linguistics, lemmatisation is the algorithmic process of determining the lemma of a word based on its intended meaning. Unlike st... |
2112.02287 | Bingqing Cheng | Carl Poelking, Felix A. Faber, Bingqing Cheng | BenchML: an extensible pipelining framework for benchmarking
representations of materials and molecules at scale | null | null | null | null | cs.LG cond-mat.mtrl-sci physics.chem-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a machine-learning (ML) framework for high-throughput
benchmarking of diverse representations of chemical systems against datasets of
materials and molecules. The guiding principle underlying the benchmarking
approach is to evaluate raw descriptor performance by limiting model complexity
to simple regres... | [
{
"created": "Sat, 4 Dec 2021 09:07:16 GMT",
"version": "v1"
}
] | 2021-12-07 | [
[
"Poelking",
"Carl",
""
],
[
"Faber",
"Felix A.",
""
],
[
"Cheng",
"Bingqing",
""
]
] | We introduce a machine-learning (ML) framework for high-throughput benchmarking of diverse representations of chemical systems against datasets of materials and molecules. The guiding principle underlying the benchmarking approach is to evaluate raw descriptor performance by limiting model complexity to simple regressi... |
2207.09161 | Shuai Bai | Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang | Single Stage Virtual Try-on via Deformable Attention Flows | ECCV 2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Virtual try-on aims to generate a photo-realistic fitting result given an
in-shop garment and a reference person image. Existing methods usually build up
multi-stage frameworks to deal with clothes warping and body blending
respectively, or rely heavily on intermediate parser-based labels which may be
noisy or even i... | [
{
"created": "Tue, 19 Jul 2022 10:01:31 GMT",
"version": "v1"
}
] | 2022-07-20 | [
[
"Bai",
"Shuai",
""
],
[
"Zhou",
"Huiling",
""
],
[
"Li",
"Zhikang",
""
],
[
"Zhou",
"Chang",
""
],
[
"Yang",
"Hongxia",
""
]
] | Virtual try-on aims to generate a photo-realistic fitting result given an in-shop garment and a reference person image. Existing methods usually build up multi-stage frameworks to deal with clothes warping and body blending respectively, or rely heavily on intermediate parser-based labels which may be noisy or even ina... |
2007.01266 | Sven Linker | Sven Linker and Fabio Papacchini and Michele Sevegnani | Analysing Spatial Properties on Neighbourhood Spaces | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a bisimulation relation for neighbourhood spaces, a generalisation
of topological spaces. We show that this notion, path preserving bisimulation,
preserves formulas of the spatial logic SLCS. We then use this preservation
result to show that SLCS cannot express standard topological properties such as
separ... | [
{
"created": "Thu, 2 Jul 2020 17:18:58 GMT",
"version": "v1"
}
] | 2020-07-03 | [
[
"Linker",
"Sven",
""
],
[
"Papacchini",
"Fabio",
""
],
[
"Sevegnani",
"Michele",
""
]
] | We present a bisimulation relation for neighbourhood spaces, a generalisation of topological spaces. We show that this notion, path preserving bisimulation, preserves formulas of the spatial logic SLCS. We then use this preservation result to show that SLCS cannot express standard topological properties such as separat... |
2305.18743 | Wenshuo Chen | Wenshuo Chen, Xiang Zhou, Zhengdi Yu, Weixi Gu and Kai Zhang | Decomposed Human Motion Prior for Video Pose Estimation via Adversarial
Training | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Estimating human pose from video is a task that receives considerable
attention due to its applicability in numerous 3D fields. The complexity of
prior knowledge of human body movements poses a challenge to neural network
models in the task of regressing keypoints. In this paper, we address this
problem by incorporat... | [
{
"created": "Tue, 30 May 2023 04:53:34 GMT",
"version": "v1"
},
{
"created": "Wed, 31 May 2023 04:31:56 GMT",
"version": "v2"
},
{
"created": "Sun, 24 Sep 2023 08:21:55 GMT",
"version": "v3"
}
] | 2023-09-26 | [
[
"Chen",
"Wenshuo",
""
],
[
"Zhou",
"Xiang",
""
],
[
"Yu",
"Zhengdi",
""
],
[
"Gu",
"Weixi",
""
],
[
"Zhang",
"Kai",
""
]
] | Estimating human pose from video is a task that receives considerable attention due to its applicability in numerous 3D fields. The complexity of prior knowledge of human body movements poses a challenge to neural network models in the task of regressing keypoints. In this paper, we address this problem by incorporatin... |
2302.10701 | Yanzhi Chen | Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller | Scalable Infomin Learning | 10 pages, accepted to NeurIPS 2022, slightly improved version | null | null | null | cs.LG cs.AI cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by/4.0/ | The task of infomin learning aims to learn a representation with high utility
while being uninformative about a specified target, with the latter achieved by
minimising the mutual information between the representation and the target. It
has broad applications, ranging from training fair prediction models against
pro... | [
{
"created": "Tue, 21 Feb 2023 14:40:25 GMT",
"version": "v1"
}
] | 2023-02-22 | [
[
"Chen",
"Yanzhi",
""
],
[
"Sun",
"Weihao",
""
],
[
"Li",
"Yingzhen",
""
],
[
"Weller",
"Adrian",
""
]
] | The task of infomin learning aims to learn a representation with high utility while being uninformative about a specified target, with the latter achieved by minimising the mutual information between the representation and the target. It has broad applications, ranging from training fair prediction models against prote... |
2301.02440 | Muhammad Azhar Azhar | Rana Adnan Ahmad, Muhammad Azhar, Hina Sattar | An Image captioning algorithm based on the Hybrid Deep Learning
Technique (CNN+GRU) | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Image captioning by the encoder-decoder framework has shown tremendous
advancement in the last decade where CNN is mainly used as encoder and LSTM is
used as a decoder. Despite such an impressive achievement in terms of accuracy
in simple images, it lacks in terms of time complexity and space complexity
efficiency. I... | [
{
"created": "Fri, 6 Jan 2023 10:00:06 GMT",
"version": "v1"
}
] | 2023-01-09 | [
[
"Ahmad",
"Rana Adnan",
""
],
[
"Azhar",
"Muhammad",
""
],
[
"Sattar",
"Hina",
""
]
] | Image captioning by the encoder-decoder framework has shown tremendous advancement in the last decade where CNN is mainly used as encoder and LSTM is used as a decoder. Despite such an impressive achievement in terms of accuracy in simple images, it lacks in terms of time complexity and space complexity efficiency. In ... |
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