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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1405.3137 | Jean-Marc Kelif | Jean-Marc Kelif and Olivier Simon | Impact of Directional Receiving Antennas on Wireless Networks | 6 pages, 7 figures, submitted to VTC 2014 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are interested in high data rates internet access, by the mean of LTE
based wireless networks. In the aim to improve performance of wireless
networks, we propose an approach focused on the use of UE equipped by
directional receiving antennas. Indeed, these antennas allow to mitigate the
interference and to improve... | [
{
"created": "Tue, 13 May 2014 13:00:44 GMT",
"version": "v1"
}
] | 2014-05-14 | [
[
"Kelif",
"Jean-Marc",
""
],
[
"Simon",
"Olivier",
""
]
] | We are interested in high data rates internet access, by the mean of LTE based wireless networks. In the aim to improve performance of wireless networks, we propose an approach focused on the use of UE equipped by directional receiving antennas. Indeed, these antennas allow to mitigate the interference and to improve t... |
1006.5381 | Catalin Anghel Mr | Catalin Anghel | Cresterea securitatii sistemelor informatice si de comunicatii prin
criptografia cuantica | 24 pag | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Catch 22 of cryptography - "Before two parties can communicate in secret,
they must first communicate in secret". The weakness of classical cryptographic
communication systems is that secret communication can only take place after a
key is communicated in secret over a totally secure communication channel. Here
comes... | [
{
"created": "Mon, 28 Jun 2010 15:45:25 GMT",
"version": "v1"
}
] | 2010-06-29 | [
[
"Anghel",
"Catalin",
""
]
] | Catch 22 of cryptography - "Before two parties can communicate in secret, they must first communicate in secret". The weakness of classical cryptographic communication systems is that secret communication can only take place after a key is communicated in secret over a totally secure communication channel. Here comes q... |
2403.08368 | Lorenzo Papa | L. Papa, P. Russo, and I. Amerini | METER: a mobile vision transformer architecture for monocular depth
estimation | null | IEEE Transactions on Circuits and Systems for Video Technology,
2023 | 10.1109/TCSVT.2023.3260310 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Depth estimation is a fundamental knowledge for autonomous systems that need
to assess their own state and perceive the surrounding environment. Deep
learning algorithms for depth estimation have gained significant interest in
recent years, owing to the potential benefits of this methodology in overcoming
the limitat... | [
{
"created": "Wed, 13 Mar 2024 09:30:08 GMT",
"version": "v1"
}
] | 2024-03-14 | [
[
"Papa",
"L.",
""
],
[
"Russo",
"P.",
""
],
[
"Amerini",
"I.",
""
]
] | Depth estimation is a fundamental knowledge for autonomous systems that need to assess their own state and perceive the surrounding environment. Deep learning algorithms for depth estimation have gained significant interest in recent years, owing to the potential benefits of this methodology in overcoming the limitatio... |
1204.6453 | Oktay Arslan Oktay Arslan | Oktay Arslan and Panagiotis Tsiotras | The Role of Vertex Consistency in Sampling-based Algorithms for Optimal
Motion Planning | 26 pages | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motion planning problems have been studied by both the robotics and the
controls research communities for a long time, and many algorithms have been
developed for their solution. Among them, incremental sampling-based motion
planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), and the
Probabilistic... | [
{
"created": "Sun, 29 Apr 2012 04:24:44 GMT",
"version": "v1"
}
] | 2012-05-01 | [
[
"Arslan",
"Oktay",
""
],
[
"Tsiotras",
"Panagiotis",
""
]
] | Motion planning problems have been studied by both the robotics and the controls research communities for a long time, and many algorithms have been developed for their solution. Among them, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), and the Probabilistic R... |
1509.03853 | Sergey Slavnov A | Sergey Slavnov | On Banach spaces of sequences and free linear logic exponential modality | null | Math. Struct. Comp. Sci. 29 (2019) 215-242 | 10.1017/S0960129517000251 | null | cs.LO math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a category of vector spaces modelling full propositional linear
logic, similar to probabilistic coherence spaces and to Koethe sequences
spaces. Its objects are {\it rigged sequences spaces}, Banach spaces of
sequences, with norms defined from pairing with finite sequences, and morphisms
are bounded line... | [
{
"created": "Sun, 13 Sep 2015 14:44:00 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Nov 2016 14:46:22 GMT",
"version": "v2"
}
] | 2019-02-20 | [
[
"Slavnov",
"Sergey",
""
]
] | We introduce a category of vector spaces modelling full propositional linear logic, similar to probabilistic coherence spaces and to Koethe sequences spaces. Its objects are {\it rigged sequences spaces}, Banach spaces of sequences, with norms defined from pairing with finite sequences, and morphisms are bounded linear... |
2301.12634 | Diego Misseroni | Samantha Mora, Nicola M.Pugno, Diego Misseroni | 3D printed architected lattice structures by material jetting | 33 pages, 12 figures | Materials Today, 59, 107-132, 2022 | 10.1016/j.mattod.2022.05.008 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High-precision 3D printing technology opens to almost endless opportunities
to design complex shapes present in tailored architected materials. The scope
of this work is to review the latest studies regarding 3D printed lattice
structures that involve the use of photopolymers fabricated by Material Jetting
(MJ), with... | [
{
"created": "Mon, 30 Jan 2023 03:33:16 GMT",
"version": "v1"
}
] | 2023-01-31 | [
[
"Mora",
"Samantha",
""
],
[
"Pugno",
"Nicola M.",
""
],
[
"Misseroni",
"Diego",
""
]
] | High-precision 3D printing technology opens to almost endless opportunities to design complex shapes present in tailored architected materials. The scope of this work is to review the latest studies regarding 3D printed lattice structures that involve the use of photopolymers fabricated by Material Jetting (MJ), with a... |
2202.13903 | Tristan Deleu | Tristan Deleu, Ant\'onio G\'ois, Chris Emezue, Mansi Rankawat, Simon
Lacoste-Julien, Stefan Bauer, Yoshua Bengio | Bayesian Structure Learning with Generative Flow Networks | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | In Bayesian structure learning, we are interested in inferring a distribution
over the directed acyclic graph (DAG) structure of Bayesian networks, from
data. Defining such a distribution is very challenging, due to the
combinatorially large sample space, and approximations based on MCMC are often
required. Recently,... | [
{
"created": "Mon, 28 Feb 2022 15:53:10 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Jun 2022 18:08:32 GMT",
"version": "v2"
}
] | 2022-06-30 | [
[
"Deleu",
"Tristan",
""
],
[
"Góis",
"António",
""
],
[
"Emezue",
"Chris",
""
],
[
"Rankawat",
"Mansi",
""
],
[
"Lacoste-Julien",
"Simon",
""
],
[
"Bauer",
"Stefan",
""
],
[
"Bengio",
"Yoshua",
""
]
] | In Bayesian structure learning, we are interested in inferring a distribution over the directed acyclic graph (DAG) structure of Bayesian networks, from data. Defining such a distribution is very challenging, due to the combinatorially large sample space, and approximations based on MCMC are often required. Recently, a... |
2007.16011 | Nagender Aneja | Sandhya Aneja and Siti Nur Afikah Bte Abdul Mazid and Nagender Aneja | Neural Machine Translation model for University Email Application | International Conference on Natural Language Processing (ICNLP 2020),
July 11-13, 2020 | International Conference on Natural Language Processing (ICNLP
2020), July 11-13, 2020 | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine translation has many applications such as news translation, email
translation, official letter translation etc. Commercial translators, e.g.
Google Translation lags in regional vocabulary and are unable to learn the
bilingual text in the source and target languages within the input. In this
paper, a regional ... | [
{
"created": "Mon, 20 Jul 2020 15:05:16 GMT",
"version": "v1"
}
] | 2020-08-04 | [
[
"Aneja",
"Sandhya",
""
],
[
"Mazid",
"Siti Nur Afikah Bte Abdul",
""
],
[
"Aneja",
"Nagender",
""
]
] | Machine translation has many applications such as news translation, email translation, official letter translation etc. Commercial translators, e.g. Google Translation lags in regional vocabulary and are unable to learn the bilingual text in the source and target languages within the input. In this paper, a regional vo... |
2312.01104 | Yumeng Li | Yumeng Li, Yaoxiang Ding, Zhong Ren, Kun Zhou | QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose
Generation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explicit pose prior models compress human poses into latent representations
for using in pose-related downstream tasks. A desirable explicit pose prior
model should satisfy three desirable abilities: 1) correctness, i.e. ensuring
to generate physically possible poses; 2) expressiveness, i.e. ensuring to
preserve deta... | [
{
"created": "Sat, 2 Dec 2023 10:44:34 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Li",
"Yumeng",
""
],
[
"Ding",
"Yaoxiang",
""
],
[
"Ren",
"Zhong",
""
],
[
"Zhou",
"Kun",
""
]
] | Explicit pose prior models compress human poses into latent representations for using in pose-related downstream tasks. A desirable explicit pose prior model should satisfy three desirable abilities: 1) correctness, i.e. ensuring to generate physically possible poses; 2) expressiveness, i.e. ensuring to preserve detail... |
2401.04956 | Hongyu Zhu | Huafeng Qin, Hongyu Zhu, Xin Jin, Qun Song, Mounim A. El-Yacoubi, and
Xinbo Gao | EmMixformer: Mix transformer for eye movement recognition | null | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Eye movement (EM) is a new highly secure biometric behavioral modality that
has received increasing attention in recent years. Although deep neural
networks, such as convolutional neural network (CNN), have recently achieved
promising performance, current solutions fail to capture local and global
temporal dependenci... | [
{
"created": "Wed, 10 Jan 2024 06:45:37 GMT",
"version": "v1"
},
{
"created": "Thu, 9 May 2024 05:33:03 GMT",
"version": "v2"
}
] | 2024-05-10 | [
[
"Qin",
"Huafeng",
""
],
[
"Zhu",
"Hongyu",
""
],
[
"Jin",
"Xin",
""
],
[
"Song",
"Qun",
""
],
[
"El-Yacoubi",
"Mounim A.",
""
],
[
"Gao",
"Xinbo",
""
]
] | Eye movement (EM) is a new highly secure biometric behavioral modality that has received increasing attention in recent years. Although deep neural networks, such as convolutional neural network (CNN), have recently achieved promising performance, current solutions fail to capture local and global temporal dependencies... |
1807.00975 | Jie Liu | Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu | A Spatial and Temporal Features Mixture Model with Body Parts for
Video-based Person Re-Identification | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The video-based person re-identification is to recognize a person under
different cameras, which is a crucial task applied in visual surveillance
system. Most previous methods mainly focused on the feature of full body in the
frame. In this paper we propose a novel Spatial and Temporal Features Mixture
Model (STFMM) ... | [
{
"created": "Tue, 3 Jul 2018 04:33:22 GMT",
"version": "v1"
}
] | 2018-07-04 | [
[
"Liu",
"Jie",
""
],
[
"Sun",
"Cheng",
""
],
[
"Xu",
"Xiang",
""
],
[
"Xu",
"Baomin",
""
],
[
"Yu",
"Shuangyuan",
""
]
] | The video-based person re-identification is to recognize a person under different cameras, which is a crucial task applied in visual surveillance system. Most previous methods mainly focused on the feature of full body in the frame. In this paper we propose a novel Spatial and Temporal Features Mixture Model (STFMM) ba... |
2010.11871 | Hideyuki Tachibana | Hideyuki Tachibana | Towards Listening to 10 People Simultaneously: An Efficient Permutation
Invariant Training of Audio Source Separation Using Sinkhorn's Algorithm | 5 pages, 8 figures, IEEE ICASSP 2021 | Proc. ICASSP (2021) | 10.1109/ICASSP39728.2021.9414508 | null | cs.SD cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In neural network-based monaural speech separation techniques, it has been
recently common to evaluate the loss using the permutation invariant training
(PIT) loss. However, the ordinary PIT requires to try all $N!$ permutations
between $N$ ground truths and $N$ estimates. Since the factorial complexity
explodes very... | [
{
"created": "Thu, 22 Oct 2020 17:08:17 GMT",
"version": "v1"
},
{
"created": "Sun, 16 May 2021 13:40:26 GMT",
"version": "v2"
}
] | 2021-05-18 | [
[
"Tachibana",
"Hideyuki",
""
]
] | In neural network-based monaural speech separation techniques, it has been recently common to evaluate the loss using the permutation invariant training (PIT) loss. However, the ordinary PIT requires to try all $N!$ permutations between $N$ ground truths and $N$ estimates. Since the factorial complexity explodes very r... |
2306.04859 | Dake Chen | Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter
A. Beerel | Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power
Side-Channel Attacks | null | Proceedings of the Great Lakes Symposium on VLSI 2023 | 10.1145/3583781.3590266 | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we describe and analyze an island-based random dynamic voltage
scaling (iRDVS) approach to thwart power side-channel attacks. We first analyze
the impact of the number of independent voltage islands on the resulting
signal-to-noise ratio and trace misalignment. As part of our analysis of
misalignment, ... | [
{
"created": "Thu, 8 Jun 2023 01:12:19 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Jun 2023 18:16:03 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Chen",
"Dake",
""
],
[
"Goins",
"Christine",
""
],
[
"Waugaman",
"Maxwell",
""
],
[
"Dimou",
"Georgios D.",
""
],
[
"Beerel",
"Peter A.",
""
]
] | In this paper, we describe and analyze an island-based random dynamic voltage scaling (iRDVS) approach to thwart power side-channel attacks. We first analyze the impact of the number of independent voltage islands on the resulting signal-to-noise ratio and trace misalignment. As part of our analysis of misalignment, we... |
2203.04051 | Snehal Jauhri | Snehal Jauhri, Jan Peters, Georgia Chalvatzaki | Robot Learning of Mobile Manipulation with Reachability Behavior Priors | Accepted: RA-L & IROS 2022 | null | 10.1109/LRA.2022.3188109 | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile Manipulation (MM) systems are ideal candidates for taking up the role
of a personal assistant in unstructured real-world environments. Among other
challenges, MM requires effective coordination of the robot's embodiments for
executing tasks that require both mobility and manipulation. Reinforcement
Learning (R... | [
{
"created": "Tue, 8 Mar 2022 12:44:42 GMT",
"version": "v1"
},
{
"created": "Fri, 20 May 2022 11:52:33 GMT",
"version": "v2"
},
{
"created": "Wed, 6 Jul 2022 19:26:50 GMT",
"version": "v3"
}
] | 2022-10-20 | [
[
"Jauhri",
"Snehal",
""
],
[
"Peters",
"Jan",
""
],
[
"Chalvatzaki",
"Georgia",
""
]
] | Mobile Manipulation (MM) systems are ideal candidates for taking up the role of a personal assistant in unstructured real-world environments. Among other challenges, MM requires effective coordination of the robot's embodiments for executing tasks that require both mobility and manipulation. Reinforcement Learning (RL)... |
2204.05186 | Pratyusha Sharma | Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton,
Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox | Correcting Robot Plans with Natural Language Feedback | 10 pages, 13 figures | null | null | null | cs.RO cs.AI cs.CL cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | When humans design cost or goal specifications for robots, they often produce
specifications that are ambiguous, underspecified, or beyond planners' ability
to solve. In these cases, corrections provide a valuable tool for
human-in-the-loop robot control. Corrections might take the form of new goal
specifications, ne... | [
{
"created": "Mon, 11 Apr 2022 15:22:43 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Sharma",
"Pratyusha",
""
],
[
"Sundaralingam",
"Balakumar",
""
],
[
"Blukis",
"Valts",
""
],
[
"Paxton",
"Chris",
""
],
[
"Hermans",
"Tucker",
""
],
[
"Torralba",
"Antonio",
""
],
[
"Andreas",
"Jacob",
""
... | When humans design cost or goal specifications for robots, they often produce specifications that are ambiguous, underspecified, or beyond planners' ability to solve. In these cases, corrections provide a valuable tool for human-in-the-loop robot control. Corrections might take the form of new goal specifications, new ... |
1701.07807 | Hua Sun | Hua Sun and Syed A. Jafar | Private Information Retrieval from MDS Coded Data with Colluding
Servers: Settling a Conjecture by Freij-Hollanti et al. | null | null | null | null | cs.IT cs.CR cs.IR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A $(K, N, T, K_c)$ instance of the MDS-TPIR problem is comprised of $K$
messages and $N$ distributed servers. Each message is separately encoded
through a $(K_c, N)$ MDS storage code. A user wishes to retrieve one message,
as efficiently as possible, while revealing no information about the desired
message index to a... | [
{
"created": "Thu, 26 Jan 2017 18:35:53 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Jan 2017 17:13:14 GMT",
"version": "v2"
}
] | 2017-01-31 | [
[
"Sun",
"Hua",
""
],
[
"Jafar",
"Syed A.",
""
]
] | A $(K, N, T, K_c)$ instance of the MDS-TPIR problem is comprised of $K$ messages and $N$ distributed servers. Each message is separately encoded through a $(K_c, N)$ MDS storage code. A user wishes to retrieve one message, as efficiently as possible, while revealing no information about the desired message index to any... |
2405.05175 | Eugene Bagdasaryan | Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco
Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage | Air Gap: Protecting Privacy-Conscious Conversational Agents | null | null | null | null | cs.CR cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The growing use of large language model (LLM)-based conversational agents to
manage sensitive user data raises significant privacy concerns. While these
agents excel at understanding and acting on context, this capability can be
exploited by malicious actors. We introduce a novel threat model where
adversarial third-... | [
{
"created": "Wed, 8 May 2024 16:12:45 GMT",
"version": "v1"
}
] | 2024-05-09 | [
[
"Bagdasaryan",
"Eugene",
""
],
[
"Yi",
"Ren",
""
],
[
"Ghalebikesabi",
"Sahra",
""
],
[
"Kairouz",
"Peter",
""
],
[
"Gruteser",
"Marco",
""
],
[
"Oh",
"Sewoong",
""
],
[
"Balle",
"Borja",
""
],
[
"R... | The growing use of large language model (LLM)-based conversational agents to manage sensitive user data raises significant privacy concerns. While these agents excel at understanding and acting on context, this capability can be exploited by malicious actors. We introduce a novel threat model where adversarial third-pa... |
2401.11496 | Sibel Kurt Toplu | Sibel Kurt Toplu, Talha Arikan, Pinar Aydo\u{g}Du and O\u{g}Uz Yayla | On a Group Under Which Symmetric Reed-Muller Codes are Invariant | 17 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Reed-Muller codes are a family of error-correcting codes that have been
widely studied in coding theory. In 2020, Wei Yan and Sian-Jheng Lin introduced
a variant of Reed-Muller codes so called symmetric Reed-Muller codes. We
investigate linear maps of the automorphism group of symmetric Reed-Muller
codes and show... | [
{
"created": "Sun, 21 Jan 2024 14:00:23 GMT",
"version": "v1"
}
] | 2024-01-23 | [
[
"Toplu",
"Sibel Kurt",
""
],
[
"Arikan",
"Talha",
""
],
[
"AydoğDu",
"Pinar",
""
],
[
"Yayla",
"OğUz",
""
]
] | The Reed-Muller codes are a family of error-correcting codes that have been widely studied in coding theory. In 2020, Wei Yan and Sian-Jheng Lin introduced a variant of Reed-Muller codes so called symmetric Reed-Muller codes. We investigate linear maps of the automorphism group of symmetric Reed-Muller codes and show t... |
1703.07348 | Dajiang Zhou | Xushen Han, Dajiang Zhou, Shihao Wang, and Shinji Kimura | CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for
Forward and Backward Propagation of Convolutional Neural Networks | null | ICCD 2016 | null | null | cs.LG cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale deep convolutional neural networks (CNNs) are widely used in
machine learning applications. While CNNs involve huge complexity, VLSI (ASIC
and FPGA) chips that deliver high-density integration of computational
resources are regarded as a promising platform for CNN's implementation. At
massive parallelism ... | [
{
"created": "Wed, 22 Mar 2017 01:31:23 GMT",
"version": "v1"
}
] | 2017-03-23 | [
[
"Han",
"Xushen",
""
],
[
"Zhou",
"Dajiang",
""
],
[
"Wang",
"Shihao",
""
],
[
"Kimura",
"Shinji",
""
]
] | Large-scale deep convolutional neural networks (CNNs) are widely used in machine learning applications. While CNNs involve huge complexity, VLSI (ASIC and FPGA) chips that deliver high-density integration of computational resources are regarded as a promising platform for CNN's implementation. At massive parallelism of... |
2310.07217 | Matteo Risso | Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico
Macii, Luca Benini, Daniele Jahier Pagliari | Enhancing Neural Architecture Search with Multiple Hardware Constraints
for Deep Learning Model Deployment on Tiny IoT Devices | Accepted for publication at the IEEE Transactions on Emerging Topics
in Computing | null | 10.1109/TETC.2023.3322033 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The rapid proliferation of computing domains relying on Internet of Things
(IoT) devices has created a pressing need for efficient and accurate
deep-learning (DL) models that can run on low-power devices. However,
traditional DL models tend to be too complex and computationally intensive for
typical IoT end-nodes. To... | [
{
"created": "Wed, 11 Oct 2023 06:09:14 GMT",
"version": "v1"
}
] | 2023-10-12 | [
[
"Burrello",
"Alessio",
""
],
[
"Risso",
"Matteo",
""
],
[
"Motetti",
"Beatrice Alessandra",
""
],
[
"Macii",
"Enrico",
""
],
[
"Benini",
"Luca",
""
],
[
"Pagliari",
"Daniele Jahier",
""
]
] | The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL) models that can run on low-power devices. However, traditional DL models tend to be too complex and computationally intensive for typical IoT end-nodes. To a... |
2009.06823 | Zhenglun Kong | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen
Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang | Real-Time Execution of Large-scale Language Models on Mobile | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-trained large-scale language models have increasingly demonstrated high
accuracy on many natural language processing (NLP) tasks. However, the limited
weight storage and computational speed on hardware platforms have impeded the
popularity of pre-trained models, especially in the era of edge computing. In
this pa... | [
{
"created": "Tue, 15 Sep 2020 01:59:17 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Oct 2020 17:53:07 GMT",
"version": "v2"
}
] | 2020-10-23 | [
[
"Niu",
"Wei",
""
],
[
"Kong",
"Zhenglun",
""
],
[
"Yuan",
"Geng",
""
],
[
"Jiang",
"Weiwen",
""
],
[
"Guan",
"Jiexiong",
""
],
[
"Ding",
"Caiwen",
""
],
[
"Zhao",
"Pu",
""
],
[
"Liu",
"Sijia",
... | Pre-trained large-scale language models have increasingly demonstrated high accuracy on many natural language processing (NLP) tasks. However, the limited weight storage and computational speed on hardware platforms have impeded the popularity of pre-trained models, especially in the era of edge computing. In this pape... |
2112.04178 | Qiaoyong Zhong | Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie | Topology-aware Convolutional Neural Network for Efficient Skeleton-based
Action Recognition | Accepted by AAAI 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of skeleton-based action recognition, graph convolutional
networks (GCNs) have been rapidly developed, whereas convolutional neural
networks (CNNs) have received less attention. One reason is that CNNs are
considered poor in modeling the irregular skeleton topology. To alleviate this
limitation, we pro... | [
{
"created": "Wed, 8 Dec 2021 09:02:50 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Dec 2021 02:42:44 GMT",
"version": "v2"
}
] | 2021-12-10 | [
[
"Xu",
"Kailin",
""
],
[
"Ye",
"Fanfan",
""
],
[
"Zhong",
"Qiaoyong",
""
],
[
"Xie",
"Di",
""
]
] | In the context of skeleton-based action recognition, graph convolutional networks (GCNs) have been rapidly developed, whereas convolutional neural networks (CNNs) have received less attention. One reason is that CNNs are considered poor in modeling the irregular skeleton topology. To alleviate this limitation, we propo... |
1303.5720 | David Heckerman | David Heckerman, Eric J. Horvitz, Blackford Middleton | An Approximate Nonmyopic Computation for Value of Information | Appears in Proceedings of the Seventh Conference on Uncertainty in
Artificial Intelligence (UAI1991) | null | null | UAI-P-1991-PG-135-141 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Value-of-information analyses provide a straightforward means for selecting
the best next observation to make, and for determining whether it is better to
gather additional information or to act immediately. Determining the next best
test to perform, given a state of uncertainty about the world, requires a
considerat... | [
{
"created": "Wed, 20 Mar 2013 15:30:51 GMT",
"version": "v1"
},
{
"created": "Sat, 16 May 2015 23:55:05 GMT",
"version": "v2"
}
] | 2015-05-19 | [
[
"Heckerman",
"David",
""
],
[
"Horvitz",
"Eric J.",
""
],
[
"Middleton",
"Blackford",
""
]
] | Value-of-information analyses provide a straightforward means for selecting the best next observation to make, and for determining whether it is better to gather additional information or to act immediately. Determining the next best test to perform, given a state of uncertainty about the world, requires a consideratio... |
2402.15570 | Vinu Sankar Sadasivan | Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham
Kattakinda, Atoosa Chegini, Soheil Feizi | Fast Adversarial Attacks on Language Models In One GPU Minute | null | null | null | null | cs.CR cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we introduce a novel class of fast, beam search-based
adversarial attack (BEAST) for Language Models (LMs). BEAST employs
interpretable parameters, enabling attackers to balance between attack speed,
success rate, and the readability of adversarial prompts. The computational
efficiency of BEAST facilit... | [
{
"created": "Fri, 23 Feb 2024 19:12:53 GMT",
"version": "v1"
}
] | 2024-02-27 | [
[
"Sadasivan",
"Vinu Sankar",
""
],
[
"Saha",
"Shoumik",
""
],
[
"Sriramanan",
"Gaurang",
""
],
[
"Kattakinda",
"Priyatham",
""
],
[
"Chegini",
"Atoosa",
""
],
[
"Feizi",
"Soheil",
""
]
] | In this paper, we introduce a novel class of fast, beam search-based adversarial attack (BEAST) for Language Models (LMs). BEAST employs interpretable parameters, enabling attackers to balance between attack speed, success rate, and the readability of adversarial prompts. The computational efficiency of BEAST facilitat... |
2110.07141 | Peihao Wang | Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi | SoGCN: Second-Order Graph Convolutional Networks | 15 pages, 7 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Convolutional Networks (GCN) with multi-hop aggregation is more
expressive than one-hop GCN but suffers from higher model complexity. Finding
the shortest aggregation range that achieves comparable expressiveness and
minimizes this side effect remains an open question. We answer this question by
showing that mu... | [
{
"created": "Thu, 14 Oct 2021 03:56:34 GMT",
"version": "v1"
}
] | 2021-10-15 | [
[
"Wang",
"Peihao",
""
],
[
"Wang",
"Yuehao",
""
],
[
"Lin",
"Hua",
""
],
[
"Shi",
"Jianbo",
""
]
] | Graph Convolutional Networks (GCN) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation range that achieves comparable expressiveness and minimizes this side effect remains an open question. We answer this question by showing that mult... |
1901.01815 | Varun Mathur | Varun Mathur | Literature Review: Smart Contract Semantics | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This review presents and evaluates various formalisms for the purpose of
modelling the semantics of financial derivatives contracts. The formalism
proposed by Lee is selected as the best candidate among those initially
reviewed. Further examination and evaluation of this formalism is done.
| [
{
"created": "Sat, 22 Dec 2018 07:36:49 GMT",
"version": "v1"
}
] | 2019-01-08 | [
[
"Mathur",
"Varun",
""
]
] | This review presents and evaluates various formalisms for the purpose of modelling the semantics of financial derivatives contracts. The formalism proposed by Lee is selected as the best candidate among those initially reviewed. Further examination and evaluation of this formalism is done. |
1105.2800 | Afzal Godil | Afzal Godil, Sandy Ressler | Retrieval and Clustering from a 3D Human Database based on Body and Head
Shape | Published in Proceedings of the 2006 Digital Human Modeling for
Design and Engineering Conference, July 2006, Lyon, FRANCE, Session: Advanced
Size/Shape Analysis Paper Number: 2006-01-2355
http://papers.sae.org/2006-01-2355 | null | 10.4271/2006-01-2355 | null | cs.CV cs.CG | http://creativecommons.org/licenses/publicdomain/ | In this paper, we describe a framework for similarity based retrieval and
clustering from a 3D human database. Our technique is based on both body and
head shape representation and the retrieval is based on similarity of both of
them. The 3D human database used in our study is the CAESAR anthropometric
database which... | [
{
"created": "Fri, 13 May 2011 18:38:36 GMT",
"version": "v1"
}
] | 2011-05-16 | [
[
"Godil",
"Afzal",
""
],
[
"Ressler",
"Sandy",
""
]
] | In this paper, we describe a framework for similarity based retrieval and clustering from a 3D human database. Our technique is based on both body and head shape representation and the retrieval is based on similarity of both of them. The 3D human database used in our study is the CAESAR anthropometric database which c... |
2301.08325 | Heeyoul Choi | Namjin Seo, DongNyeong Heo, Heeyoul Choi | Advanced Scaling Methods for VNF deployment with Reinforcement Learning | 27 pages | null | null | null | cs.NI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network function virtualization (NFV) and software-defined network (SDN) have
become emerging network paradigms, allowing virtualized network function (VNF)
deployment at a low cost. Even though VNF deployment can be flexible, it is
still challenging to optimize VNF deployment due to its high complexity.
Several stud... | [
{
"created": "Thu, 19 Jan 2023 21:31:23 GMT",
"version": "v1"
}
] | 2023-01-23 | [
[
"Seo",
"Namjin",
""
],
[
"Heo",
"DongNyeong",
""
],
[
"Choi",
"Heeyoul",
""
]
] | Network function virtualization (NFV) and software-defined network (SDN) have become emerging network paradigms, allowing virtualized network function (VNF) deployment at a low cost. Even though VNF deployment can be flexible, it is still challenging to optimize VNF deployment due to its high complexity. Several studie... |
2304.01517 | Xu Chen | Xu Chen, Zhiyong Feng, Zhiqing Wei, Ping Zhang, and Xin Yuan | Code-Division OFDM Joint Communication and Sensing System for 6G
Machine-type Communication | 13 pages,16 figures | IEEE Internet of Things Journal, vol. 8, no. 15, pp. 12 093-12
105, Feb. 2021 | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The joint communication and sensing (JCS) system can provide higher spectrum
efficiency and load-saving for 6G machine-type communication (MTC) applications
by merging necessary communication and sensing abilities with unified spectrum
and transceivers. In order to suppress the mutual interference between the
communi... | [
{
"created": "Tue, 4 Apr 2023 04:00:37 GMT",
"version": "v1"
}
] | 2023-04-05 | [
[
"Chen",
"Xu",
""
],
[
"Feng",
"Zhiyong",
""
],
[
"Wei",
"Zhiqing",
""
],
[
"Zhang",
"Ping",
""
],
[
"Yuan",
"Xin",
""
]
] | The joint communication and sensing (JCS) system can provide higher spectrum efficiency and load-saving for 6G machine-type communication (MTC) applications by merging necessary communication and sensing abilities with unified spectrum and transceivers. In order to suppress the mutual interference between the communica... |
2403.14510 | Ahmed El Gazzar | Ahmed ElGazzar and Marcel van Gerven | Universal Differential Equations as a Common Modeling Language for
Neuroscience | 23 pages, 3 figures | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | The unprecedented availability of large-scale datasets in neuroscience has
spurred the exploration of artificial deep neural networks (DNNs) both as
empirical tools and as models of natural neural systems. Their appeal lies in
their ability to approximate arbitrary functions directly from observations,
circumventing ... | [
{
"created": "Thu, 21 Mar 2024 16:07:30 GMT",
"version": "v1"
}
] | 2024-03-22 | [
[
"ElGazzar",
"Ahmed",
""
],
[
"van Gerven",
"Marcel",
""
]
] | The unprecedented availability of large-scale datasets in neuroscience has spurred the exploration of artificial deep neural networks (DNNs) both as empirical tools and as models of natural neural systems. Their appeal lies in their ability to approximate arbitrary functions directly from observations, circumventing th... |
2203.04045 | Ruijie Yan | Ruijie Yan, Shuang Peng, Haitao Mi, Liang Jiang, Shihui Yang, Yuchi
Zhang, Jiajun Li, Liangrui Peng, Yongliang Wang, Zujie Wen | Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken
Conversations | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building robust and general dialogue models for spoken conversations is
challenging due to the gap in distributions of spoken and written data. This
paper presents our approach to build generalized models for the
Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations
Challenge of DSTC-10. In order... | [
{
"created": "Tue, 8 Mar 2022 12:26:57 GMT",
"version": "v1"
}
] | 2022-03-09 | [
[
"Yan",
"Ruijie",
""
],
[
"Peng",
"Shuang",
""
],
[
"Mi",
"Haitao",
""
],
[
"Jiang",
"Liang",
""
],
[
"Yang",
"Shihui",
""
],
[
"Zhang",
"Yuchi",
""
],
[
"Li",
"Jiajun",
""
],
[
"Peng",
"Liangrui... | Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to build generalized models for the Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations Challenge of DSTC-10. In order t... |
1612.04463 | Xiaohu Ge | Jiaqi Chen, Fen Bin, Xiaohu Ge, Qiang Li, Cheng-Xiang Wang | A Dual-Directional Path-loss Model in 5G Wireless Fractal Small Cell
Networks | null | null | null | null | cs.NI cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | With the anticipated increase in the number of low power base stations (BSs)
deployed in small cell networks, blockage effects becoming more sensitive on
wireless transmissions over high spectrums, variable propagation fading
scenarios make it hard to describe coverage of small cell networks. In this
paper, we propos... | [
{
"created": "Wed, 14 Dec 2016 02:42:12 GMT",
"version": "v1"
}
] | 2016-12-19 | [
[
"Chen",
"Jiaqi",
""
],
[
"Bin",
"Fen",
""
],
[
"Ge",
"Xiaohu",
""
],
[
"Li",
"Qiang",
""
],
[
"Wang",
"Cheng-Xiang",
""
]
] | With the anticipated increase in the number of low power base stations (BSs) deployed in small cell networks, blockage effects becoming more sensitive on wireless transmissions over high spectrums, variable propagation fading scenarios make it hard to describe coverage of small cell networks. In this paper, we propose ... |
2308.01574 | Andreas Bj\"orklund | Andreas Bj\"orklund, Petteri Kaski, and Jesper Nederlof | Another Hamiltonian Cycle in Bipartite Pfaffian Graphs | Adds analysis of Thomason's lollipop method | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding a Hamiltonian cycle in a given graph is computationally challenging,
and in general remains so even when one is further given one Hamiltonian cycle
in the graph and asked to find another. In fact, no significantly faster
algorithms are known for finding another Hamiltonian cycle than for finding a
first one e... | [
{
"created": "Thu, 3 Aug 2023 07:22:12 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Feb 2024 04:44:55 GMT",
"version": "v2"
}
] | 2024-02-23 | [
[
"Björklund",
"Andreas",
""
],
[
"Kaski",
"Petteri",
""
],
[
"Nederlof",
"Jesper",
""
]
] | Finding a Hamiltonian cycle in a given graph is computationally challenging, and in general remains so even when one is further given one Hamiltonian cycle in the graph and asked to find another. In fact, no significantly faster algorithms are known for finding another Hamiltonian cycle than for finding a first one eve... |
1705.06463 | Hongmin Wang | Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong
Chieu | Universal Dependencies Parsing for Colloquial Singaporean English | Accepted by ACL 2017 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Singlish can be interesting to the ACL community both linguistically as a
major creole based on English, and computationally for information extraction
and sentiment analysis of regional social media. We investigate dependency
parsing of Singlish by constructing a dependency treebank under the Universal
Dependencies ... | [
{
"created": "Thu, 18 May 2017 08:27:42 GMT",
"version": "v1"
}
] | 2017-05-19 | [
[
"Wang",
"Hongmin",
""
],
[
"Zhang",
"Yue",
""
],
[
"Chan",
"GuangYong Leonard",
""
],
[
"Yang",
"Jie",
""
],
[
"Chieu",
"Hai Leong",
""
]
] | Singlish can be interesting to the ACL community both linguistically as a major creole based on English, and computationally for information extraction and sentiment analysis of regional social media. We investigate dependency parsing of Singlish by constructing a dependency treebank under the Universal Dependencies sc... |
1401.2482 | Marko Horvat | Marko Horvat, Nikola Bogunovi\'c, Kre\v{s}imir \'Cosi\'c | STIMONT: A core ontology for multimedia stimuli description | 27 pages, 13 figures | Multimedia tools and applications, 11042, July 2013 | 10.1007/s11042-013-1624-4 | null | cs.MM cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Affective multimedia documents such as images, sounds or videos elicit
emotional responses in exposed human subjects. These stimuli are stored in
affective multimedia databases and successfully used for a wide variety of
research in psychology and neuroscience in areas related to attention and
emotion processing. Alt... | [
{
"created": "Fri, 10 Jan 2014 23:36:51 GMT",
"version": "v1"
}
] | 2014-01-14 | [
[
"Horvat",
"Marko",
""
],
[
"Bogunović",
"Nikola",
""
],
[
"Ćosić",
"Krešimir",
""
]
] | Affective multimedia documents such as images, sounds or videos elicit emotional responses in exposed human subjects. These stimuli are stored in affective multimedia databases and successfully used for a wide variety of research in psychology and neuroscience in areas related to attention and emotion processing. Altho... |
2105.03172 | Hlynur Dav{\i}{\dh} Hlynsson | Hlynur Dav\'i{\dh} Hlynsson, Laurenz Wiskott | Reward prediction for representation learning and reward shaping | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | One of the fundamental challenges in reinforcement learning (RL) is the one
of data efficiency: modern algorithms require a very large number of training
samples, especially compared to humans, for solving environments with
high-dimensional observations. The severity of this problem is increased when
the reward signa... | [
{
"created": "Fri, 7 May 2021 11:29:32 GMT",
"version": "v1"
}
] | 2021-05-10 | [
[
"Hlynsson",
"Hlynur Davíð",
""
],
[
"Wiskott",
"Laurenz",
""
]
] | One of the fundamental challenges in reinforcement learning (RL) is the one of data efficiency: modern algorithms require a very large number of training samples, especially compared to humans, for solving environments with high-dimensional observations. The severity of this problem is increased when the reward signal ... |
2104.09799 | Zhu Bo | Zhu Bo, Rang Liu, Ming Li, and Qian Liu | Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO
Systems | 5 pages, 5 figures, 2 tables, submitted to IEEE Transactions on
Vehicular Technology | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-sa/4.0/ | The recently emerged symbol-level precoding (SLP) technique has been regarded
as a promising solution in multi-user wireless communication systems, since it
can convert harmful multi-user interference (MUI) into beneficial signals for
enhancing system performance. However, the tremendous computational complexity
of c... | [
{
"created": "Tue, 20 Apr 2021 07:24:59 GMT",
"version": "v1"
}
] | 2021-04-21 | [
[
"Bo",
"Zhu",
""
],
[
"Liu",
"Rang",
""
],
[
"Li",
"Ming",
""
],
[
"Liu",
"Qian",
""
]
] | The recently emerged symbol-level precoding (SLP) technique has been regarded as a promising solution in multi-user wireless communication systems, since it can convert harmful multi-user interference (MUI) into beneficial signals for enhancing system performance. However, the tremendous computational complexity of con... |
2407.12860 | Jack Boylan | Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp, Parsa Ghaffari | STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained
LLMs | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | We present Simplified Text-Attributed Graph Embeddings (STAGE), a
straightforward yet effective method for enhancing node features in Graph
Neural Network (GNN) models that encode Text-Attributed Graphs (TAGs). Our
approach leverages Large-Language Models (LLMs) to generate embeddings for
textual attributes. STAGE ac... | [
{
"created": "Wed, 10 Jul 2024 08:50:25 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Zolnai-Lucas",
"Aaron",
""
],
[
"Boylan",
"Jack",
""
],
[
"Hokamp",
"Chris",
""
],
[
"Ghaffari",
"Parsa",
""
]
] | We present Simplified Text-Attributed Graph Embeddings (STAGE), a straightforward yet effective method for enhancing node features in Graph Neural Network (GNN) models that encode Text-Attributed Graphs (TAGs). Our approach leverages Large-Language Models (LLMs) to generate embeddings for textual attributes. STAGE achi... |
2310.18937 | Weipeng Huang | Eoin M. Kenny and Weipeng Huang | The Utility of "Even if..." Semifactual Explanation to Optimise Positive
Outcomes | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | When users receive either a positive or negative outcome from an automated
system, Explainable AI (XAI) has almost exclusively focused on how to mutate
negative outcomes into positive ones by crossing a decision boundary using
counterfactuals (e.g., \textit{"If you earn 2k more, we will accept your loan
application"}... | [
{
"created": "Sun, 29 Oct 2023 08:52:23 GMT",
"version": "v1"
}
] | 2023-10-31 | [
[
"Kenny",
"Eoin M.",
""
],
[
"Huang",
"Weipeng",
""
]
] | When users receive either a positive or negative outcome from an automated system, Explainable AI (XAI) has almost exclusively focused on how to mutate negative outcomes into positive ones by crossing a decision boundary using counterfactuals (e.g., \textit{"If you earn 2k more, we will accept your loan application"}).... |
2011.13492 | Aaron Tuor | Jan Drgona, Soumya Vasisht, Aaron Tuor, Draguna Vrabie | Dissipative Deep Neural Dynamical Systems | Under review at IEEE Open Journal of Control Systems | null | null | null | cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we provide sufficient conditions for dissipativity and local
asymptotic stability of discrete-time dynamical systems parametrized by deep
neural networks. We leverage the representation of neural networks as pointwise
affine maps, thus exposing their local linear operators and making them
accessible to... | [
{
"created": "Thu, 26 Nov 2020 23:13:16 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Jan 2022 15:58:44 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Jun 2022 16:03:21 GMT",
"version": "v3"
}
] | 2022-06-09 | [
[
"Drgona",
"Jan",
""
],
[
"Vasisht",
"Soumya",
""
],
[
"Tuor",
"Aaron",
""
],
[
"Vrabie",
"Draguna",
""
]
] | In this paper, we provide sufficient conditions for dissipativity and local asymptotic stability of discrete-time dynamical systems parametrized by deep neural networks. We leverage the representation of neural networks as pointwise affine maps, thus exposing their local linear operators and making them accessible to c... |
2209.04244 | S. Hitarth | M. Praveen and S. Hitarth | Window Expressions for Stream Data Processing | null | null | null | null | cs.FL | http://creativecommons.org/licenses/by/4.0/ | Traditional ways of storing and querying data do not work well in scenarios
where data is being generated continuously and quick decisions need to be
taken. For example, in hospital intensive care units, signals from multiple
devices need to be monitored and the occurrence of any anomaly should raise
alarms immediate... | [
{
"created": "Fri, 9 Sep 2022 11:11:37 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 14:13:13 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Praveen",
"M.",
""
],
[
"Hitarth",
"S.",
""
]
] | Traditional ways of storing and querying data do not work well in scenarios where data is being generated continuously and quick decisions need to be taken. For example, in hospital intensive care units, signals from multiple devices need to be monitored and the occurrence of any anomaly should raise alarms immediately... |
1011.6134 | Christopher Wilkens | Christopher A. Wilkens and Balasubramanian Sivan | Single-Call Mechanisms | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Truthfulness is fragile and demanding. It is oftentimes computationally
harder than solving the original problem. Even worse, truthfulness can be
utterly destroyed by small uncertainties in a mechanism's outcome. One obstacle
is that truthful payments depend on outcomes other than the one realized, such
as the length... | [
{
"created": "Mon, 29 Nov 2010 06:01:10 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Mar 2012 20:53:24 GMT",
"version": "v2"
},
{
"created": "Thu, 29 Mar 2012 15:48:19 GMT",
"version": "v3"
}
] | 2012-03-30 | [
[
"Wilkens",
"Christopher A.",
""
],
[
"Sivan",
"Balasubramanian",
""
]
] | Truthfulness is fragile and demanding. It is oftentimes computationally harder than solving the original problem. Even worse, truthfulness can be utterly destroyed by small uncertainties in a mechanism's outcome. One obstacle is that truthful payments depend on outcomes other than the one realized, such as the lengths ... |
1704.03940 | Kai Hui | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo | PACRR: A Position-Aware Neural IR Model for Relevance Matching | To appear in EMNLP2017 | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to adopt deep learning for information retrieval, models are needed
that can capture all relevant information required to assess the relevance of a
document to a given user query. While previous works have successfully captured
unigram term matches, how to fully employ position-dependent information such
as ... | [
{
"created": "Wed, 12 Apr 2017 21:56:59 GMT",
"version": "v1"
},
{
"created": "Sun, 7 May 2017 16:12:36 GMT",
"version": "v2"
},
{
"created": "Fri, 21 Jul 2017 23:02:06 GMT",
"version": "v3"
}
] | 2017-07-25 | [
[
"Hui",
"Kai",
""
],
[
"Yates",
"Andrew",
""
],
[
"Berberich",
"Klaus",
""
],
[
"de Melo",
"Gerard",
""
]
] | In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given user query. While previous works have successfully captured unigram term matches, how to fully employ position-dependent information such as pr... |
0807.0908 | Fionn Murtagh | Fionn Murtagh | The Correspondence Analysis Platform for Uncovering Deep Structure in
Data and Information | Sixth Annual Boole Lecture in Informatics, Boole Centre for Research
in Informatics, Cork, Ireland, 29 April 2008. 28 pp., 17 figures. To appear,
Computer Journal. This version: 3 typos corrected | Computer Journal, 53 (3), 304-315, 2010 | 10.1093/comjnl/bxn045 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study two aspects of information semantics: (i) the collection of all
relationships, (ii) tracking and spotting anomaly and change. The first is
implemented by endowing all relevant information spaces with a Euclidean metric
in a common projected space. The second is modelled by an induced ultrametric.
A very gene... | [
{
"created": "Sun, 6 Jul 2008 15:22:54 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Sep 2008 17:07:52 GMT",
"version": "v2"
}
] | 2011-01-11 | [
[
"Murtagh",
"Fionn",
""
]
] | We study two aspects of information semantics: (i) the collection of all relationships, (ii) tracking and spotting anomaly and change. The first is implemented by endowing all relevant information spaces with a Euclidean metric in a common projected space. The second is modelled by an induced ultrametric. A very genera... |
0912.3926 | William Jackson | P. Balasubramanie, M. Lilly Florence | Application of Radial Basis Network Model for HIV/AIDs Regimen
Specifications | null | Journal of Computing, Volume 1, Issue 1, pp 136-140, December 2009 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | HIV/AIDs Regimen specification one of many problems for which
bioinformaticians have implemented and trained machine learning methods such as
neural networks. Predicting HIV resistance would be much easier, but
unfortunately we rarely have enough structural information available to train a
neural network. To network ... | [
{
"created": "Sat, 19 Dec 2009 18:54:56 GMT",
"version": "v1"
}
] | 2009-12-22 | [
[
"Balasubramanie",
"P.",
""
],
[
"Florence",
"M. Lilly",
""
]
] | HIV/AIDs Regimen specification one of many problems for which bioinformaticians have implemented and trained machine learning methods such as neural networks. Predicting HIV resistance would be much easier, but unfortunately we rarely have enough structural information available to train a neural network. To network mo... |
2004.11657 | Martin G\"unther | Till Grenzd\"orffer, Martin G\"unther and Joachim Hertzberg | YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose
Estimation | Published at ICRA-2020 | null | 10.1109/ICRA40945.2020.9197426 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While a great variety of 3D cameras have been introduced in recent years,
most publicly available datasets for object recognition and pose estimation
focus on one single camera. In this work, we present a dataset of 32 scenes
that have been captured by 7 different 3D cameras, totaling 49,294 frames. This
allows evalu... | [
{
"created": "Fri, 24 Apr 2020 11:14:04 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Sep 2020 07:58:18 GMT",
"version": "v2"
}
] | 2020-09-30 | [
[
"Grenzdörffer",
"Till",
""
],
[
"Günther",
"Martin",
""
],
[
"Hertzberg",
"Joachim",
""
]
] | While a great variety of 3D cameras have been introduced in recent years, most publicly available datasets for object recognition and pose estimation focus on one single camera. In this work, we present a dataset of 32 scenes that have been captured by 7 different 3D cameras, totaling 49,294 frames. This allows evaluat... |
1907.06633 | Apdullah Yayik | Apdullah Yay{\i}k, Yakup Kutlu, G\"okhan Altan | On improving learning capability of ELM and an application to
brain-computer interface | 11 pages, 6 figures, Neural Computing and Application, Springer
(under-review) | null | 10.13140/RG.2.2.30778.34248 | null | cs.LG eess.SP stat.ML | http://creativecommons.org/licenses/by/4.0/ | As a type of pseudoinverse learning, extreme learning machine (ELM) is able
to achieve high performances in a rapid pace on benchmark datasets. However,
when it is applied to real life large data, decline related to low-convergence
of singular value decomposition (SVD) method occurs. Our study aims to resolve
this is... | [
{
"created": "Sun, 14 Jul 2019 09:28:07 GMT",
"version": "v1"
}
] | 2019-07-29 | [
[
"Yayık",
"Apdullah",
""
],
[
"Kutlu",
"Yakup",
""
],
[
"Altan",
"Gökhan",
""
]
] | As a type of pseudoinverse learning, extreme learning machine (ELM) is able to achieve high performances in a rapid pace on benchmark datasets. However, when it is applied to real life large data, decline related to low-convergence of singular value decomposition (SVD) method occurs. Our study aims to resolve this issu... |
2211.16993 | Xingyu Yan | Xingyu Yan (1), Licheng Wang (2), Lize Gu (1), Ziyi Li (3), Jingwen
Suo (1) ((1) State Key Laboratory of Networking and Switching Technology,
Beijing University of Posts and Telecommunications, Beijing, 100876, China.
(2) School of Cyberspace Science and Technology, Beijing Institute of
Technology, Beijing, 100... | Post-Quantum $\kappa$-to-1 Trapdoor Claw-free Functions from
Extrapolated Dihedral Cosets | 34 pages, 7 figures | null | null | null | cs.CR cs.CC quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | \emph{Noisy trapdoor claw-free function} (NTCF) as a powerful post-quantum
cryptographic tool can efficiently constrain actions of untrusted quantum
devices. However, the original NTCF is essentially \emph{2-to-1} one-way
function (NTCF$^1_2$). In this work, we attempt to further extend the
NTCF$^1_2$ to achieve \emp... | [
{
"created": "Wed, 30 Nov 2022 13:48:44 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Jul 2023 00:50:31 GMT",
"version": "v2"
}
] | 2023-07-24 | [
[
"Yan",
"Xingyu",
""
],
[
"Wang",
"Licheng",
""
],
[
"Gu",
"Lize",
""
],
[
"Li",
"Ziyi",
""
],
[
"Suo",
"Jingwen",
""
]
] | \emph{Noisy trapdoor claw-free function} (NTCF) as a powerful post-quantum cryptographic tool can efficiently constrain actions of untrusted quantum devices. However, the original NTCF is essentially \emph{2-to-1} one-way function (NTCF$^1_2$). In this work, we attempt to further extend the NTCF$^1_2$ to achieve \emph{... |
cs/0512018 | Anthony Mouraud | Anthony Mouraud (GRIMAAG, ISC), Didier Puzenat (GRIMAAG), H\'el\`ene
Paugam-Moisy (ISC) | DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation
framework | 6 pages | null | null | null | cs.NE cs.LG | null | In a Spiking Neural Networks (SNN), spike emissions are sparsely and
irregularly distributed both in time and in the network architecture. Since a
current feature of SNNs is a low average activity, efficient implementations of
SNNs are usually based on an Event-Driven Simulation (EDS). On the other hand,
simulations ... | [
{
"created": "Mon, 5 Dec 2005 06:57:39 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Mar 2006 12:31:02 GMT",
"version": "v2"
}
] | 2016-08-16 | [
[
"Mouraud",
"Anthony",
"",
"GRIMAAG, ISC"
],
[
"Puzenat",
"Didier",
"",
"GRIMAAG"
],
[
"Paugam-Moisy",
"Hélène",
"",
"ISC"
]
] | In a Spiking Neural Networks (SNN), spike emissions are sparsely and irregularly distributed both in time and in the network architecture. Since a current feature of SNNs is a low average activity, efficient implementations of SNNs are usually based on an Event-Driven Simulation (EDS). On the other hand, simulations of... |
1809.00758 | Myungsu Chae | Myungsu Chae, Tae-Ho Kim, Young Hoon Shin, June-Woo Kim, and Soo-Young
Lee | End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint
Loss Weights | IROS 2018 Workshop on Crossmodal Learning for Intelligent Robotics | null | null | null | cs.LG cs.CV cs.SD eess.AS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-task learning is a method for improving the generalizability of
multiple tasks. In order to perform multiple classification tasks with one
neural network model, the losses of each task should be combined. Previous
studies have mostly focused on multiple prediction tasks using joint loss with
static weights for ... | [
{
"created": "Tue, 4 Sep 2018 00:52:25 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Sep 2018 06:55:13 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Oct 2018 04:16:54 GMT",
"version": "v3"
}
] | 2018-10-03 | [
[
"Chae",
"Myungsu",
""
],
[
"Kim",
"Tae-Ho",
""
],
[
"Shin",
"Young Hoon",
""
],
[
"Kim",
"June-Woo",
""
],
[
"Lee",
"Soo-Young",
""
]
] | Multi-task learning is a method for improving the generalizability of multiple tasks. In order to perform multiple classification tasks with one neural network model, the losses of each task should be combined. Previous studies have mostly focused on multiple prediction tasks using joint loss with static weights for tr... |
1306.6168 | Bruno Courcelle | Bruno Courcelle (LaBRI, IUF) | Clique-width and edge contraction | Information Processinhgs Letters 2013, In press | null | null | null | cs.DM cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that edge contractions do not preserve the property that a set of
graphs has bounded clique-width. This property is preserved by contractions of
edges, one end of which is a vertex of degree 2.
| [
{
"created": "Wed, 26 Jun 2013 08:54:30 GMT",
"version": "v1"
},
{
"created": "Mon, 21 Oct 2013 10:42:34 GMT",
"version": "v2"
}
] | 2013-10-22 | [
[
"Courcelle",
"Bruno",
"",
"LaBRI, IUF"
]
] | We prove that edge contractions do not preserve the property that a set of graphs has bounded clique-width. This property is preserved by contractions of edges, one end of which is a vertex of degree 2. |
2311.10746 | Mihran Miroyan | Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi | EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in
Interactive Lecture Participation Exercises | null | null | null | null | cs.CY cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In today's rapidly evolving educational landscape, traditional modes of
passive information delivery are giving way to transformative pedagogical
approaches that prioritize active student engagement. Within the context of
large-scale hybrid classrooms, the challenge lies in fostering meaningful and
active interaction... | [
{
"created": "Tue, 31 Oct 2023 07:05:00 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Miroyan",
"Mihran",
""
],
[
"Weng",
"Shiny",
""
],
[
"Shah",
"Rahul",
""
],
[
"Yan",
"Lisa",
""
],
[
"Norouzi",
"Narges",
""
]
] | In today's rapidly evolving educational landscape, traditional modes of passive information delivery are giving way to transformative pedagogical approaches that prioritize active student engagement. Within the context of large-scale hybrid classrooms, the challenge lies in fostering meaningful and active interaction b... |
2004.05220 | Younes Abdi | Younes Abdi and Tapani Ristaniemi | Modeling and Mitigating Errors in Belief Propagation for Distributed
Detection | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the behavior of the belief-propagation (BP) algorithm affected by
erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a
distributed binary hypothesis test where the joint statistical behavior of the
sensor observations is modeled by a Markov random field whose parameters are
used to ... | [
{
"created": "Fri, 10 Apr 2020 20:24:12 GMT",
"version": "v1"
}
] | 2020-04-14 | [
[
"Abdi",
"Younes",
""
],
[
"Ristaniemi",
"Tapani",
""
]
] | We study the behavior of the belief-propagation (BP) algorithm affected by erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a distributed binary hypothesis test where the joint statistical behavior of the sensor observations is modeled by a Markov random field whose parameters are used to bu... |
2204.01090 | Alaa Anani | Alaa Anani, Mohamed Ghanem and Lotfy Abdel Khaliq | Breaking the De-Pois Poisoning Defense | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | Attacks on machine learning models have been, since their conception, a very
persistent and evasive issue resembling an endless cat-and-mouse game. One
major variant of such attacks is poisoning attacks which can indirectly
manipulate an ML model. It has been observed over the years that the majority
of proposed effe... | [
{
"created": "Sun, 3 Apr 2022 15:17:47 GMT",
"version": "v1"
}
] | 2022-04-05 | [
[
"Anani",
"Alaa",
""
],
[
"Ghanem",
"Mohamed",
""
],
[
"Khaliq",
"Lotfy Abdel",
""
]
] | Attacks on machine learning models have been, since their conception, a very persistent and evasive issue resembling an endless cat-and-mouse game. One major variant of such attacks is poisoning attacks which can indirectly manipulate an ML model. It has been observed over the years that the majority of proposed effect... |
2304.12829 | Jos\'e Cano | Ferheen Ayaz, Idris Zakariyya, Jos\'e Cano, Sye Loong Keoh, Jeremy
Singer, Danilo Pau, Mounia Kharbouche-Harrari | Improving Robustness Against Adversarial Attacks with Deeply Quantized
Neural Networks | Accepted at IJCNN 2023. 8 pages, 5 figures | null | null | null | cs.LG cs.CR cs.PF | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Reducing the memory footprint of Machine Learning (ML) models, particularly
Deep Neural Networks (DNNs), is essential to enable their deployment into
resource-constrained tiny devices. However, a disadvantage of DNN models is
their vulnerability to adversarial attacks, as they can be fooled by adding
slight perturbat... | [
{
"created": "Tue, 25 Apr 2023 13:56:35 GMT",
"version": "v1"
}
] | 2023-04-26 | [
[
"Ayaz",
"Ferheen",
""
],
[
"Zakariyya",
"Idris",
""
],
[
"Cano",
"José",
""
],
[
"Keoh",
"Sye Loong",
""
],
[
"Singer",
"Jeremy",
""
],
[
"Pau",
"Danilo",
""
],
[
"Kharbouche-Harrari",
"Mounia",
""
]
] | Reducing the memory footprint of Machine Learning (ML) models, particularly Deep Neural Networks (DNNs), is essential to enable their deployment into resource-constrained tiny devices. However, a disadvantage of DNN models is their vulnerability to adversarial attacks, as they can be fooled by adding slight perturbatio... |
1811.12670 | Ziwei Liu | Weidong Yin, Ziwei Liu, Chen Change Loy | Instance-level Facial Attributes Transfer with Geometry-Aware Flow | To appear in AAAI 2019. Code and models are available at:
https://github.com/wdyin/GeoGAN | null | null | null | cs.CV cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of instance-level facial attribute transfer without
paired training data, e.g. faithfully transferring the exact mustache from a
source face to a target face. This is a more challenging task than the
conventional semantic-level attribute transfer, which only preserves the
generic attribute styl... | [
{
"created": "Fri, 30 Nov 2018 08:43:00 GMT",
"version": "v1"
}
] | 2018-12-03 | [
[
"Yin",
"Weidong",
""
],
[
"Liu",
"Ziwei",
""
],
[
"Loy",
"Chen Change",
""
]
] | We address the problem of instance-level facial attribute transfer without paired training data, e.g. faithfully transferring the exact mustache from a source face to a target face. This is a more challenging task than the conventional semantic-level attribute transfer, which only preserves the generic attribute style ... |
2108.06428 | Yu Rong | Yu Rong, Takaaki Shiratori, Hanbyul Joo | FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via
Regression and Integration | Accepted to ICCV 2021 Workshops on Assistive Computer Vision and
Robotics. An updated version of arXiv:2008.08324. Code, models and demo
videos are available at:https://github.com/facebookresearch/frankmocap | null | null | null | cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | Most existing monocular 3D pose estimation approaches only focus on a single
body part, neglecting the fact that the essential nuance of human motion is
conveyed through a concert of subtle movements of face, hands, and body. In
this paper, we present FrankMocap, a fast and accurate whole-body 3D pose
estimation syst... | [
{
"created": "Fri, 13 Aug 2021 23:57:27 GMT",
"version": "v1"
}
] | 2021-08-24 | [
[
"Rong",
"Yu",
""
],
[
"Shiratori",
"Takaaki",
""
],
[
"Joo",
"Hanbyul",
""
]
] | Most existing monocular 3D pose estimation approaches only focus on a single body part, neglecting the fact that the essential nuance of human motion is conveyed through a concert of subtle movements of face, hands, and body. In this paper, we present FrankMocap, a fast and accurate whole-body 3D pose estimation system... |
1701.03129 | Besat Kassaie | Besat Kassaie | De-identification In practice | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We report our effort to identify the sensitive information, subset of data
items listed by HIPAA (Health Insurance Portability and Accountability), from
medical text using the recent advances in natural language processing and
machine learning techniques. We represent the words with high dimensional
continuous vector... | [
{
"created": "Wed, 11 Jan 2017 19:22:56 GMT",
"version": "v1"
}
] | 2017-01-13 | [
[
"Kassaie",
"Besat",
""
]
] | We report our effort to identify the sensitive information, subset of data items listed by HIPAA (Health Insurance Portability and Accountability), from medical text using the recent advances in natural language processing and machine learning techniques. We represent the words with high dimensional continuous vectors ... |
2211.01778 | Hyungtae Lee | Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya | Progressive Transformation Learning for Leveraging Virtual Images in
Training | CVPR 2023 (Selected as Highlight) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | To effectively interrogate UAV-based images for detecting objects of
interest, such as humans, it is essential to acquire large-scale UAV-based
datasets that include human instances with various poses captured from widely
varying viewing angles. As a viable alternative to laborious and costly data
curation, we introd... | [
{
"created": "Thu, 3 Nov 2022 13:04:15 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Mar 2023 19:21:27 GMT",
"version": "v2"
}
] | 2023-03-29 | [
[
"Shen",
"Yi-Ting",
""
],
[
"Lee",
"Hyungtae",
""
],
[
"Kwon",
"Heesung",
""
],
[
"Bhattacharyya",
"Shuvra Shikhar",
""
]
] | To effectively interrogate UAV-based images for detecting objects of interest, such as humans, it is essential to acquire large-scale UAV-based datasets that include human instances with various poses captured from widely varying viewing angles. As a viable alternative to laborious and costly data curation, we introduc... |
0910.3301 | Julian McAuley | Julian J. McAuley, Tiberio S. Caetano | Faster Algorithms for Max-Product Message-Passing | 34 pages, 22 figures | null | null | null | cs.AI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Maximum A Posteriori inference in graphical models is often solved via
message-passing algorithms, such as the junction-tree algorithm, or loopy
belief-propagation. The exact solution to this problem is well known to be
exponential in the size of the model's maximal cliques after it is
triangulated, while approximate... | [
{
"created": "Sat, 17 Oct 2009 13:42:35 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Oct 2009 04:02:16 GMT",
"version": "v2"
},
{
"created": "Sat, 5 Dec 2009 03:41:24 GMT",
"version": "v3"
},
{
"created": "Thu, 8 Apr 2010 05:24:55 GMT",
"version": "v4"
}
] | 2010-04-09 | [
[
"McAuley",
"Julian J.",
""
],
[
"Caetano",
"Tiberio S.",
""
]
] | Maximum A Posteriori inference in graphical models is often solved via message-passing algorithms, such as the junction-tree algorithm, or loopy belief-propagation. The exact solution to this problem is well known to be exponential in the size of the model's maximal cliques after it is triangulated, while approximate i... |
1002.1154 | Vishal Goyal | Dorsaf Sebai, Abderrazak Jemai, Imed Bennour | Performance Analysis of Software to Hardware Task Migration in Codesign | International Journal of Computer Science Issues, IJCSI, Vol. 7,
Issue 1, No. 1, January 2010,
http://ijcsi.org/articles/Performance-Analysis-of-Software-to-Hardware-Task-Migration-in-Codesign.php | International Journal of Computer Science Issues, IJCSI, Vol. 7,
Issue 1, No. 1, January 2010,
http://ijcsi.org/articles/Performance-Analysis-of-Software-to-Hardware-Task-Migration-in-Codesign.php | null | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The complexity of multimedia applications in terms of intensity of
computation and heterogeneity of treated data led the designers to embark them
on multiprocessor systems on chip. The complexity of these systems on one hand
and the expectations of the consumers on the other hand complicate the
designers job to conce... | [
{
"created": "Fri, 5 Feb 2010 08:51:44 GMT",
"version": "v1"
}
] | 2010-02-08 | [
[
"Sebai",
"Dorsaf",
""
],
[
"Jemai",
"Abderrazak",
""
],
[
"Bennour",
"Imed",
""
]
] | The complexity of multimedia applications in terms of intensity of computation and heterogeneity of treated data led the designers to embark them on multiprocessor systems on chip. The complexity of these systems on one hand and the expectations of the consumers on the other hand complicate the designers job to conceiv... |
1307.5494 | Laura Balzano | Laura Balzano and Stephen J. Wright | On GROUSE and Incremental SVD | null | null | null | null | cs.NA cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | GROUSE (Grassmannian Rank-One Update Subspace Estimation) is an incremental
algorithm for identifying a subspace of Rn from a sequence of vectors in this
subspace, where only a subset of components of each vector is revealed at each
iteration. Recent analysis has shown that GROUSE converges locally at an
expected lin... | [
{
"created": "Sun, 21 Jul 2013 03:47:16 GMT",
"version": "v1"
}
] | 2013-07-23 | [
[
"Balzano",
"Laura",
""
],
[
"Wright",
"Stephen J.",
""
]
] | GROUSE (Grassmannian Rank-One Update Subspace Estimation) is an incremental algorithm for identifying a subspace of Rn from a sequence of vectors in this subspace, where only a subset of components of each vector is revealed at each iteration. Recent analysis has shown that GROUSE converges locally at an expected linea... |
2102.13090 | Qianqian Wang | Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard
Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas
Funkhouser | IBRNet: Learning Multi-View Image-Based Rendering | CVPR 2021. Project page: https://ibrnet.github.io/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present a method that synthesizes novel views of complex scenes by
interpolating a sparse set of nearby views. The core of our method is a network
architecture that includes a multilayer perceptron and a ray transformer that
estimates radiance and volume density at continuous 5D locations (3D spatial
locations and... | [
{
"created": "Thu, 25 Feb 2021 18:56:21 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Apr 2021 23:19:33 GMT",
"version": "v2"
}
] | 2021-04-08 | [
[
"Wang",
"Qianqian",
""
],
[
"Wang",
"Zhicheng",
""
],
[
"Genova",
"Kyle",
""
],
[
"Srinivasan",
"Pratul",
""
],
[
"Zhou",
"Howard",
""
],
[
"Barron",
"Jonathan T.",
""
],
[
"Martin-Brualla",
"Ricardo",
""
... | We present a method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views. The core of our method is a network architecture that includes a multilayer perceptron and a ray transformer that estimates radiance and volume density at continuous 5D locations (3D spatial locations and 2... |
2212.12756 | Lo\"ic Paulev\'e | Kyungduk Moon, Kangbok Lee, Lo\"ic Paulev\'e | Computational Complexity of Minimal Trap Spaces in Boolean Networks | null | null | null | null | cs.DM cs.CC math.DS | http://creativecommons.org/licenses/by/4.0/ | A Boolean network (BN) is a discrete dynamical system defined by a Boolean
function that maps to the domain itself. A trap space of a BN is a
generalization of a fixed point, which is defined as the sub-hypercubes closed
by the function of the BN. A trap space is minimal if it does not contain any
smaller trap space.... | [
{
"created": "Sat, 24 Dec 2022 15:37:01 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Mar 2023 13:24:45 GMT",
"version": "v2"
}
] | 2023-03-15 | [
[
"Moon",
"Kyungduk",
""
],
[
"Lee",
"Kangbok",
""
],
[
"Paulevé",
"Loïc",
""
]
] | A Boolean network (BN) is a discrete dynamical system defined by a Boolean function that maps to the domain itself. A trap space of a BN is a generalization of a fixed point, which is defined as the sub-hypercubes closed by the function of the BN. A trap space is minimal if it does not contain any smaller trap space. M... |
1702.08005 | Kunwoo Park | Kunwoo Park and Meeyoung Cha and Haewoon Kwak and Kuan-Ta Chen | Achievement and Friends: Key Factors of Player Retention Vary Across
Player Levels in Online Multiplayer Games | 9 pages, 4 figures, WWW '17 companion | null | null | null | cs.SI cs.HC | http://creativecommons.org/licenses/by/4.0/ | Retaining players over an extended period of time is a long-standing
challenge in game industry. Significant effort has been paid to understanding
what motivates players enjoy games. While individuals may have varying reasons
to play or abandon a game at different stages within the game, previous studies
have looked ... | [
{
"created": "Sun, 26 Feb 2017 09:08:59 GMT",
"version": "v1"
}
] | 2017-02-28 | [
[
"Park",
"Kunwoo",
""
],
[
"Cha",
"Meeyoung",
""
],
[
"Kwak",
"Haewoon",
""
],
[
"Chen",
"Kuan-Ta",
""
]
] | Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or abandon a game at different stages within the game, previous studies have looked at... |
2106.13476 | Zhen Gao | Malong Ke, Zhen Gao, Yang Huang, Guoru Ding, Derrick Wing Kwan Ng,
Qihui Wu, and Jun Zhang | An Edge Computing Paradigm for Massive IoT Connectivity over
High-Altitude Platform Networks | 8 pages, 6 figures. The current version has been accepted by IEEE
Wireless Communications Magzine Special Issue on Aerial Computing: Drones for
Multi-Access Edge Computing | null | null | null | cs.IT cs.NI eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the advent of the Internet-of-Things (IoT) era, the ever-increasing
number of devices and emerging applications have triggered the need for
ubiquitous connectivity and more efficient computing paradigms. These stringent
demands have posed significant challenges to the current wireless networks and
their computin... | [
{
"created": "Fri, 25 Jun 2021 07:41:16 GMT",
"version": "v1"
}
] | 2021-06-28 | [
[
"Ke",
"Malong",
""
],
[
"Gao",
"Zhen",
""
],
[
"Huang",
"Yang",
""
],
[
"Ding",
"Guoru",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Wu",
"Qihui",
""
],
[
"Zhang",
"Jun",
""
]
] | With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more efficient computing paradigms. These stringent demands have posed significant challenges to the current wireless networks and their computing ... |
2403.09548 | Jo\~ao Manoel Herrera Pinheiro | Jo\~ao Manoel Herrera Pinheiro, Marcelo Becker | Breast Cancer Classification Using Gradient Boosting Algorithms Focusing
on Reducing the False Negative and SHAP for Explainability | 9 pages, 16 figures | null | null | null | cs.LG cs.CY q-bio.QM | http://creativecommons.org/licenses/by/4.0/ | Cancer is one of the diseases that kill the most women in the world, with
breast cancer being responsible for the highest number of cancer cases and
consequently deaths. However, it can be prevented by early detection and,
consequently, early treatment. Any development for detection or perdition this
kind of cancer i... | [
{
"created": "Thu, 14 Mar 2024 16:35:43 GMT",
"version": "v1"
}
] | 2024-03-15 | [
[
"Pinheiro",
"João Manoel Herrera",
""
],
[
"Becker",
"Marcelo",
""
]
] | Cancer is one of the diseases that kill the most women in the world, with breast cancer being responsible for the highest number of cancer cases and consequently deaths. However, it can be prevented by early detection and, consequently, early treatment. Any development for detection or perdition this kind of cancer is ... |
2305.16360 | Hao Wang | Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao
Liu | Modeling Task Relationships in Multi-variate Soft Sensor with Balanced
Mixture-of-Experts | null | null | 10.1109/TII.2022.3202909 | null | cs.LG cs.CE stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate estimation of multiple quality variables is critical for building
industrial soft sensor models, which have long been confronted with data
efficiency and negative transfer issues. Methods sharing backbone parameters
among tasks address the data efficiency issue; however, they still fail to
mitigate the negat... | [
{
"created": "Thu, 25 May 2023 07:32:03 GMT",
"version": "v1"
}
] | 2023-05-29 | [
[
"Huang",
"Yuxin",
""
],
[
"Wang",
"Hao",
""
],
[
"Liu",
"Zhaoran",
""
],
[
"Pan",
"Licheng",
""
],
[
"Li",
"Haozhe",
""
],
[
"Liu",
"Xinggao",
""
]
] | Accurate estimation of multiple quality variables is critical for building industrial soft sensor models, which have long been confronted with data efficiency and negative transfer issues. Methods sharing backbone parameters among tasks address the data efficiency issue; however, they still fail to mitigate the negativ... |
2405.07265 | Andreas A{\ss}muth | Nicholas J\"ager and Andreas A{\ss}muth | An Approach for Decentralized Authentication in Networks of UAVs | 5 pages | Proc of the 12th International Conference on Cloud Computing,
GRIDs, and Virtualization (Cloud Computing 2021), Porto Portugal, April 2021,
pp. 13-17, ISSN 2308-4294 | null | null | cs.DC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a decentralized authentication system for networks of unmanned
aerial vehicles. A blockchain-based public key infrastructure allows the usage
of public key cryptography and public key based authentication protocols. The
blockchain provides a common storage of the public keys and their relations and
can pro... | [
{
"created": "Sun, 12 May 2024 12:19:48 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Jäger",
"Nicholas",
""
],
[
"Aßmuth",
"Andreas",
""
]
] | We propose a decentralized authentication system for networks of unmanned aerial vehicles. A blockchain-based public key infrastructure allows the usage of public key cryptography and public key based authentication protocols. The blockchain provides a common storage of the public keys and their relations and can provi... |
1310.5930 | Adam Noel | Adam Noel, Karen C. Cheung, Robert Schober | A Unifying Model for External Noise Sources and ISI in Diffusive
Molecular Communication | 14 pages, 7 figures, 4 tables, 1 appendix. To appear in IEEE Journal
on Selected Areas in Communications (JSAC). Submitted October 21, 2013,
revised April 21, 2014, accepted June 3, 2014 | null | 10.1109/JSAC.2014.2367693 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the impact of external noise sources, including
interfering transmitters, on a diffusive molecular communication system, where
the impact is measured as the number of noise molecules expected to be observed
at a passive receiver. A unifying model for noise, multiuser interference, and
intersymbol... | [
{
"created": "Tue, 22 Oct 2013 14:22:23 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Apr 2014 00:31:21 GMT",
"version": "v2"
},
{
"created": "Mon, 7 Jul 2014 17:52:01 GMT",
"version": "v3"
}
] | 2015-11-20 | [
[
"Noel",
"Adam",
""
],
[
"Cheung",
"Karen C.",
""
],
[
"Schober",
"Robert",
""
]
] | This paper considers the impact of external noise sources, including interfering transmitters, on a diffusive molecular communication system, where the impact is measured as the number of noise molecules expected to be observed at a passive receiver. A unifying model for noise, multiuser interference, and intersymbol i... |
2209.02431 | Shuaitao Zhao | Shuaitao Zhao, Kun Liu, Yuhang Huang, Qian Bao, Dan Zeng, and Wu Liu | DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human pose estimation aims to figure out the keypoints of all people in
different scenes. Current approaches still face some challenges despite
promising results. Existing top-down methods deal with a single person
individually, without the interaction between different people and the scene
they are situated in. Cons... | [
{
"created": "Fri, 2 Sep 2022 10:18:26 GMT",
"version": "v1"
}
] | 2022-09-07 | [
[
"Zhao",
"Shuaitao",
""
],
[
"Liu",
"Kun",
""
],
[
"Huang",
"Yuhang",
""
],
[
"Bao",
"Qian",
""
],
[
"Zeng",
"Dan",
""
],
[
"Liu",
"Wu",
""
]
] | Human pose estimation aims to figure out the keypoints of all people in different scenes. Current approaches still face some challenges despite promising results. Existing top-down methods deal with a single person individually, without the interaction between different people and the scene they are situated in. Conseq... |
1802.05315 | Dong Yin | Andr\'es Mu\~noz Medina, Sergei Vassilvitskii, Dong Yin | Online Learning for Non-Stationary A/B Tests | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rollout of new versions of a feature in modern applications is a manual
multi-stage process, as the feature is released to ever larger groups of users,
while its performance is carefully monitored. This kind of A/B testing is
ubiquitous, but suboptimal, as the monitoring requires heavy human
intervention, is not ... | [
{
"created": "Wed, 14 Feb 2018 20:42:51 GMT",
"version": "v1"
},
{
"created": "Sun, 27 May 2018 06:42:39 GMT",
"version": "v2"
}
] | 2018-05-29 | [
[
"Medina",
"Andrés Muñoz",
""
],
[
"Vassilvitskii",
"Sergei",
""
],
[
"Yin",
"Dong",
""
]
] | The rollout of new versions of a feature in modern applications is a manual multi-stage process, as the feature is released to ever larger groups of users, while its performance is carefully monitored. This kind of A/B testing is ubiquitous, but suboptimal, as the monitoring requires heavy human intervention, is not gu... |
2203.13349 | Rawal Khirodkar | Rawal Khirodkar, Shashank Tripathi, Kris Kitani | Occluded Human Mesh Recovery | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Top-down methods for monocular human mesh recovery have two stages: (1)
detect human bounding boxes; (2) treat each bounding box as an independent
single-human mesh recovery task. Unfortunately, the single-human assumption
does not hold in images with multi-human occlusion and crowding. Consequently,
top-down methods... | [
{
"created": "Thu, 24 Mar 2022 21:39:20 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Khirodkar",
"Rawal",
""
],
[
"Tripathi",
"Shashank",
""
],
[
"Kitani",
"Kris",
""
]
] | Top-down methods for monocular human mesh recovery have two stages: (1) detect human bounding boxes; (2) treat each bounding box as an independent single-human mesh recovery task. Unfortunately, the single-human assumption does not hold in images with multi-human occlusion and crowding. Consequently, top-down methods h... |
2402.06697 | Navid Aftabi | Navid Aftabi and Nima Moradi and Fatemeh Mahroo | Feed-Forward Neural Networks as a Mixed-Integer Program | null | null | null | null | cs.LG cs.AI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) are widely studied in various applications. A DNN
consists of layers of neurons that compute affine combinations, apply nonlinear
operations, and produce corresponding activations. The rectified linear unit
(ReLU) is a typical nonlinear operator, outputting the max of its input and
zero. I... | [
{
"created": "Fri, 9 Feb 2024 02:23:37 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Aftabi",
"Navid",
""
],
[
"Moradi",
"Nima",
""
],
[
"Mahroo",
"Fatemeh",
""
]
] | Deep neural networks (DNNs) are widely studied in various applications. A DNN consists of layers of neurons that compute affine combinations, apply nonlinear operations, and produce corresponding activations. The rectified linear unit (ReLU) is a typical nonlinear operator, outputting the max of its input and zero. In ... |
2406.14102 | Mert Cihangiroglu | Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K.
A., Serena Nicolazzo, Antonino Nocera, Vinod P | SeCTIS: A Framework to Secure CTI Sharing | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | The rise of IT-dependent operations in modern organizations has heightened
their vulnerability to cyberattacks. As a growing number of organizations
include smart, interconnected devices in their systems to automate their
processes, the attack surface becomes much bigger, and the complexity and
frequency of attacks p... | [
{
"created": "Thu, 20 Jun 2024 08:34:50 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Arikkat",
"Dincy R.",
""
],
[
"Cihangiroglu",
"Mert",
""
],
[
"Conti",
"Mauro",
""
],
[
"A.",
"Rafidha Rehiman K.",
""
],
[
"Nicolazzo",
"Serena",
""
],
[
"Nocera",
"Antonino",
""
],
[
"P",
"Vinod",
""
]... | The rise of IT-dependent operations in modern organizations has heightened their vulnerability to cyberattacks. As a growing number of organizations include smart, interconnected devices in their systems to automate their processes, the attack surface becomes much bigger, and the complexity and frequency of attacks pos... |
2003.02389 | Alex Renda | Alex Renda, Jonathan Frankle, Michael Carbin | Comparing Rewinding and Fine-tuning in Neural Network Pruning | null | ICLR 2020 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many neural network pruning algorithms proceed in three steps: train the
network to completion, remove unwanted structure to compress the network, and
retrain the remaining structure to recover lost accuracy. The standard
retraining technique, fine-tuning, trains the unpruned weights from their final
trained values u... | [
{
"created": "Thu, 5 Mar 2020 00:53:18 GMT",
"version": "v1"
}
] | 2020-03-06 | [
[
"Renda",
"Alex",
""
],
[
"Frankle",
"Jonathan",
""
],
[
"Carbin",
"Michael",
""
]
] | Many neural network pruning algorithms proceed in three steps: train the network to completion, remove unwanted structure to compress the network, and retrain the remaining structure to recover lost accuracy. The standard retraining technique, fine-tuning, trains the unpruned weights from their final trained values usi... |
2005.00527 | Ruosong Wang | Ruosong Wang, Simon S. Du, Lin F. Yang, Sham M. Kakade | Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon
Reinforcement Learning? | null | null | null | null | cs.LG cs.AI math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning to plan for long horizons is a central challenge in episodic
reinforcement learning problems. A fundamental question is to understand how
the difficulty of the problem scales as the horizon increases. Here the natural
measure of sample complexity is a normalized one: we are interested in the
number of episod... | [
{
"created": "Fri, 1 May 2020 17:56:38 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jul 2020 16:20:06 GMT",
"version": "v2"
}
] | 2020-07-10 | [
[
"Wang",
"Ruosong",
""
],
[
"Du",
"Simon S.",
""
],
[
"Yang",
"Lin F.",
""
],
[
"Kakade",
"Sham M.",
""
]
] | Learning to plan for long horizons is a central challenge in episodic reinforcement learning problems. A fundamental question is to understand how the difficulty of the problem scales as the horizon increases. Here the natural measure of sample complexity is a normalized one: we are interested in the number of episodes... |
1906.00872 | Shizhe Chen | Shizhe Chen, Qin Jin and Jianlong Fu | From Words to Sentences: A Progressive Learning Approach for
Zero-resource Machine Translation with Visual Pivots | Accepted by IJCAI 2019 | null | null | null | cs.CL cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The neural machine translation model has suffered from the lack of
large-scale parallel corpora. In contrast, we humans can learn multi-lingual
translations even without parallel texts by referring our languages to the
external world. To mimic such human learning behavior, we employ images as
pivots to enable zero-re... | [
{
"created": "Mon, 3 Jun 2019 15:28:48 GMT",
"version": "v1"
}
] | 2019-06-04 | [
[
"Chen",
"Shizhe",
""
],
[
"Jin",
"Qin",
""
],
[
"Fu",
"Jianlong",
""
]
] | The neural machine translation model has suffered from the lack of large-scale parallel corpora. In contrast, we humans can learn multi-lingual translations even without parallel texts by referring our languages to the external world. To mimic such human learning behavior, we employ images as pivots to enable zero-reso... |
1703.07047 | Krzysztof J. Geras | Krzysztof J. Geras and Stacey Wolfson and Yiqiu Shen and Nan Wu and S.
Gene Kim and Eric Kim and Laura Heacock and Ujas Parikh and Linda Moy and
Kyunghyun Cho | High-Resolution Breast Cancer Screening with Multi-View Deep
Convolutional Neural Networks | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in deep learning for natural images have prompted a surge of
interest in applying similar techniques to medical images. The majority of the
initial attempts focused on replacing the input of a deep convolutional neural
network with a medical image, which does not take into consideration the
fundamental diffe... | [
{
"created": "Tue, 21 Mar 2017 04:11:13 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Nov 2017 06:39:33 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Jun 2018 01:21:51 GMT",
"version": "v3"
}
] | 2018-06-29 | [
[
"Geras",
"Krzysztof J.",
""
],
[
"Wolfson",
"Stacey",
""
],
[
"Shen",
"Yiqiu",
""
],
[
"Wu",
"Nan",
""
],
[
"Kim",
"S. Gene",
""
],
[
"Kim",
"Eric",
""
],
[
"Heacock",
"Laura",
""
],
[
"Parikh",
... | Advances in deep learning for natural images have prompted a surge of interest in applying similar techniques to medical images. The majority of the initial attempts focused on replacing the input of a deep convolutional neural network with a medical image, which does not take into consideration the fundamental differe... |
1602.02847 | Hamed Azami | Hamed Azami, Alberto Fernandez, Javier Escudero | Refined Multiscale Fuzzy Entropy based on Standard Deviation for
Biomedical Signal Analysis | null | null | 10.1007/s11517-017-1647-5 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiscale entropy (MSE) has been a prevalent algorithm to quantify the
complexity of fluctuations in the local mean value of biomedical time series.
Recent developments in the field have tried to improve the MSE by reducing its
variability in large scale factors. On the other hand, there has been recent
interest in ... | [
{
"created": "Tue, 9 Feb 2016 03:17:07 GMT",
"version": "v1"
},
{
"created": "Wed, 3 May 2017 15:48:52 GMT",
"version": "v2"
}
] | 2017-05-04 | [
[
"Azami",
"Hamed",
""
],
[
"Fernandez",
"Alberto",
""
],
[
"Escudero",
"Javier",
""
]
] | Multiscale entropy (MSE) has been a prevalent algorithm to quantify the complexity of fluctuations in the local mean value of biomedical time series. Recent developments in the field have tried to improve the MSE by reducing its variability in large scale factors. On the other hand, there has been recent interest in us... |
2010.15206 | Qiong Wu | Qiong Wu, Zhenming Liu | Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters | 8 pages | International Conference on Mobility, Sensing and Networking, 2021 | null | null | cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale interactive web services and advanced AI applications make
sophisticated decisions in real-time, based on executing a massive amount of
computation tasks on thousands of servers. Task schedulers, which often operate
in heterogeneous and volatile environments, require high throughput, i.e.,
scheduling mill... | [
{
"created": "Wed, 28 Oct 2020 20:12:29 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Nov 2020 00:43:50 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Oct 2021 00:12:54 GMT",
"version": "v3"
}
] | 2021-10-28 | [
[
"Wu",
"Qiong",
""
],
[
"Liu",
"Zhenming",
""
]
] | Large-scale interactive web services and advanced AI applications make sophisticated decisions in real-time, based on executing a massive amount of computation tasks on thousands of servers. Task schedulers, which often operate in heterogeneous and volatile environments, require high throughput, i.e., scheduling millio... |
1509.00309 | Edward Valeev | Justus A. Calvin, Cannada A. Lewis, and Edward F. Valeev | Scalable Task-Based Algorithm for Multiplication of Block-Rank-Sparse
Matrices | 8 pages, 6 figures, accepted to IA3 2015. arXiv admin note: text
overlap with arXiv:1504.05046 | null | 10.1145/2833179.2833186 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A task-based formulation of Scalable Universal Matrix Multiplication
Algorithm (SUMMA), a popular algorithm for matrix multiplication (MM), is
applied to the multiplication of hierarchy-free, rank-structured matrices that
appear in the domain of quantum chemistry (QC). The novel features of our
formulation are: (1) c... | [
{
"created": "Tue, 1 Sep 2015 14:22:38 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Oct 2015 21:29:08 GMT",
"version": "v2"
}
] | 2015-10-13 | [
[
"Calvin",
"Justus A.",
""
],
[
"Lewis",
"Cannada A.",
""
],
[
"Valeev",
"Edward F.",
""
]
] | A task-based formulation of Scalable Universal Matrix Multiplication Algorithm (SUMMA), a popular algorithm for matrix multiplication (MM), is applied to the multiplication of hierarchy-free, rank-structured matrices that appear in the domain of quantum chemistry (QC). The novel features of our formulation are: (1) con... |
1608.08171 | Richard Wang | Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang | Tracking Completion | Published at ECCV 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A fundamental component of modern trackers is an online learned tracking
model, which is typically modeled either globally or locally. The two kinds of
models perform differently in terms of effectiveness and robustness under
different challenging situations. This work exploits the advantages of both
models. A subspa... | [
{
"created": "Mon, 29 Aug 2016 18:33:23 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Sep 2016 01:49:46 GMT",
"version": "v2"
}
] | 2016-09-12 | [
[
"Sui",
"Yao",
""
],
[
"Wang",
"Guanghui",
""
],
[
"Tang",
"Yafei",
""
],
[
"Zhang",
"Li",
""
]
] | A fundamental component of modern trackers is an online learned tracking model, which is typically modeled either globally or locally. The two kinds of models perform differently in terms of effectiveness and robustness under different challenging situations. This work exploits the advantages of both models. A subspace... |
0812.2405 | SeyyedMajid Valiollahzadeh | SeyyedMajid Valiollahzadeh, Mohammad Nazari, Massoud Babaie-Zadeh,
Christian Jutten | A New Trend in Optimization on Multi Overcomplete Dictionary toward
Inpainting | 4 pages | null | null | ICASSP 2009 | cs.MM cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, great attention was intended toward overcomplete dictionaries and
the sparse representations they can provide. In a wide variety of signal
processing problems, sparsity serves a crucial property leading to high
performance. Inpainting, the process of reconstructing lost or deteriorated
parts of images or vi... | [
{
"created": "Fri, 12 Dec 2008 15:56:42 GMT",
"version": "v1"
}
] | 2008-12-15 | [
[
"Valiollahzadeh",
"SeyyedMajid",
""
],
[
"Nazari",
"Mohammad",
""
],
[
"Babaie-Zadeh",
"Massoud",
""
],
[
"Jutten",
"Christian",
""
]
] | Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity serves a crucial property leading to high performance. Inpainting, the process of reconstructing lost or deteriorated parts of images or vide... |
2009.09675 | Robby Neven | Robby Neven, Marian Verhelst, Tinne Tuytelaars and Toon Goedem\'e | Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training deep learning models on embedded devices is typically avoided since
this requires more memory, computation and power over inference. In this work,
we focus on lowering the amount of memory needed for storing all activations,
which are required during the backward pass to compute the gradients. Instead,
durin... | [
{
"created": "Mon, 21 Sep 2020 08:27:01 GMT",
"version": "v1"
}
] | 2020-09-22 | [
[
"Neven",
"Robby",
""
],
[
"Verhelst",
"Marian",
""
],
[
"Tuytelaars",
"Tinne",
""
],
[
"Goedemé",
"Toon",
""
]
] | Training deep learning models on embedded devices is typically avoided since this requires more memory, computation and power over inference. In this work, we focus on lowering the amount of memory needed for storing all activations, which are required during the backward pass to compute the gradients. Instead, during ... |
1906.00139 | Zhengyang Shen | Zhengyang Shen, Fran\c{c}ois-Xavier Vialard, Marc Niethammer | Region-specific Diffeomorphic Metric Mapping | Accepted by NeurIPS 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a region-specific diffeomorphic metric mapping (RDMM)
registration approach. RDMM is non-parametric, estimating spatio-temporal
velocity fields which parameterize the sought-for spatial transformation.
Regularization of these velocity fields is necessary. However, while existing
non-parametric registrati... | [
{
"created": "Sat, 1 Jun 2019 03:14:15 GMT",
"version": "v1"
},
{
"created": "Sat, 9 Nov 2019 03:19:44 GMT",
"version": "v2"
}
] | 2019-11-12 | [
[
"Shen",
"Zhengyang",
""
],
[
"Vialard",
"François-Xavier",
""
],
[
"Niethammer",
"Marc",
""
]
] | We introduce a region-specific diffeomorphic metric mapping (RDMM) registration approach. RDMM is non-parametric, estimating spatio-temporal velocity fields which parameterize the sought-for spatial transformation. Regularization of these velocity fields is necessary. However, while existing non-parametric registration... |
1812.08869 | Xiao Chen | Xiao Chen, Julian Cheng, Zaichen Zhang, Liang Wu, Jian Dang | Data-Rate Driven Transmission Strategy for Deep Learning Based
Communication Systems | Published | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning (DL) based autoencoder is a promising architecture to implement
end-to-end communication systems. One fundamental problem of such systems is
how to increase the transmission rate. Two new schemes are proposed to address
the limited data rate issue: adaptive transmission scheme and generalized data
repre... | [
{
"created": "Thu, 20 Dec 2018 22:19:25 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Apr 2020 02:59:16 GMT",
"version": "v2"
}
] | 2020-04-30 | [
[
"Chen",
"Xiao",
""
],
[
"Cheng",
"Julian",
""
],
[
"Zhang",
"Zaichen",
""
],
[
"Wu",
"Liang",
""
],
[
"Dang",
"Jian",
""
]
] | Deep learning (DL) based autoencoder is a promising architecture to implement end-to-end communication systems. One fundamental problem of such systems is how to increase the transmission rate. Two new schemes are proposed to address the limited data rate issue: adaptive transmission scheme and generalized data represe... |
2306.01650 | Diego Saez-Trumper | Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates,
and Diego Saez-Trumper | Fair multilingual vandalism detection system for Wikipedia | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel design of the system aimed at supporting the
Wikipedia community in addressing vandalism on the platform. To achieve this,
we collected a massive dataset of 47 languages, and applied advanced filtering
and feature engineering techniques, including multilingual masked language
modeling to b... | [
{
"created": "Fri, 2 Jun 2023 16:19:16 GMT",
"version": "v1"
}
] | 2023-06-05 | [
[
"Trokhymovych",
"Mykola",
""
],
[
"Aslam",
"Muniza",
""
],
[
"Chou",
"Ai-Jou",
""
],
[
"Baeza-Yates",
"Ricardo",
""
],
[
"Saez-Trumper",
"Diego",
""
]
] | This paper presents a novel design of the system aimed at supporting the Wikipedia community in addressing vandalism on the platform. To achieve this, we collected a massive dataset of 47 languages, and applied advanced filtering and feature engineering techniques, including multilingual masked language modeling to bui... |
2310.15583 | Sicen Li | Sicen Li, Yiming Pang, Panju Bai, Zhaojin Liu, Jiawei Li, Shihao Hu,
Liquan Wang, and Gang Wang | Learning Agility and Adaptive Legged Locomotion via Curricular Hindsight
Reinforcement Learning | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Agile and adaptive maneuvers such as fall recovery, high-speed turning, and
sprinting in the wild are challenging for legged systems. We propose a
Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end
tracking controller that achieves powerful agility and adaptation for the
legged robot. The tw... | [
{
"created": "Tue, 24 Oct 2023 07:48:40 GMT",
"version": "v1"
}
] | 2023-10-25 | [
[
"Li",
"Sicen",
""
],
[
"Pang",
"Yiming",
""
],
[
"Bai",
"Panju",
""
],
[
"Liu",
"Zhaojin",
""
],
[
"Li",
"Jiawei",
""
],
[
"Hu",
"Shihao",
""
],
[
"Wang",
"Liquan",
""
],
[
"Wang",
"Gang",
"... | Agile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end tracking controller that achieves powerful agility and adaptation for the legged robot. The two ... |
2310.12049 | Patrick Y. Wu | Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, Solomon Messing | Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison
Scaling of Texts with Large Language Models | 26 pages, 2 figures | null | null | null | cs.CL cs.CY | http://creativecommons.org/publicdomain/zero/1.0/ | Existing text scaling methods often require a large corpus, struggle with
short texts, or require labeled data. We develop a text scaling method that
leverages the pattern recognition capabilities of generative large language
models (LLMs). Specifically, we propose concept-guided chain-of-thought
(CGCoT), which uses ... | [
{
"created": "Wed, 18 Oct 2023 15:34:37 GMT",
"version": "v1"
}
] | 2023-10-19 | [
[
"Wu",
"Patrick Y.",
""
],
[
"Nagler",
"Jonathan",
""
],
[
"Tucker",
"Joshua A.",
""
],
[
"Messing",
"Solomon",
""
]
] | Existing text scaling methods often require a large corpus, struggle with short texts, or require labeled data. We develop a text scaling method that leverages the pattern recognition capabilities of generative large language models (LLMs). Specifically, we propose concept-guided chain-of-thought (CGCoT), which uses pr... |
cs/9910011 | Anand V. Raman | Anand Venkataraman | A statistical model for word discovery in child directed speech | 48 pgs, 10 figs | null | null | null | cs.CL cs.LG | null | A statistical model for segmentation and word discovery in child directed
speech is presented. An incremental unsupervised learning algorithm to infer
word boundaries based on this model is described and results of empirical tests
showing that the algorithm is competitive with other models that have been used
for sim... | [
{
"created": "Wed, 13 Oct 1999 03:25:33 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Venkataraman",
"Anand",
""
]
] | A statistical model for segmentation and word discovery in child directed speech is presented. An incremental unsupervised learning algorithm to infer word boundaries based on this model is described and results of empirical tests showing that the algorithm is competitive with other models that have been used for simil... |
1610.00368 | Ramin Soltani | Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr | Covert Communications on Renewal Packet Channels | Contains details of an Allerton 2016 submission arXiv:1610.00381 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security and privacy are major concerns in modern communication networks. In
recent years, the information theory of covert communications, where the very
presence of the communication is undetectable to a watchful and determined
adversary, has been of great interest. This emerging body of work has focused
on additiv... | [
{
"created": "Sun, 2 Oct 2016 23:31:54 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Nov 2017 02:13:56 GMT",
"version": "v2"
}
] | 2017-11-29 | [
[
"Soltani",
"Ramin",
""
],
[
"Goeckel",
"Dennis",
""
],
[
"Towsley",
"Don",
""
],
[
"Houmansadr",
"Amir",
""
]
] | Security and privacy are major concerns in modern communication networks. In recent years, the information theory of covert communications, where the very presence of the communication is undetectable to a watchful and determined adversary, has been of great interest. This emerging body of work has focused on additive ... |
2101.09547 | Chun-Hung Liu | Chun-Hung Liu, Di-Chun Liang, Rung-Hung Gau | A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular
Networks | 6 pages, 4 figures, conference paper. arXiv admin note: substantial
text overlap with arXiv:2007.09866 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper aims to propose a three-dimensional (3D) point process that can be
employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale
cellular network and tractably analyze the fundamental network-wide
performances of the network. This 3D point process is devised based on a 2D
marked Poisson poi... | [
{
"created": "Sat, 23 Jan 2021 18:02:10 GMT",
"version": "v1"
}
] | 2021-01-26 | [
[
"Liu",
"Chun-Hung",
""
],
[
"Liang",
"Di-Chun",
""
],
[
"Gau",
"Rung-Hung",
""
]
] | This paper aims to propose a three-dimensional (3D) point process that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network and tractably analyze the fundamental network-wide performances of the network. This 3D point process is devised based on a 2D marked Poisson point... |
2103.00810 | Zhenxi Li | Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir | MFST: Multi-Features Siamese Tracker | ICPR 2021, Oral | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Siamese trackers have recently achieved interesting results due to their
balance between accuracy and speed. This success is mainly due to the fact that
deep similarity networks were specifically designed to address the image
similarity problem. Therefore, they are inherently more appropriate than
classical CNNs for ... | [
{
"created": "Mon, 1 Mar 2021 07:18:32 GMT",
"version": "v1"
}
] | 2021-03-02 | [
[
"Li",
"Zhenxi",
""
],
[
"Bilodeau",
"Guillaume-Alexandre",
""
],
[
"Bouachir",
"Wassim",
""
]
] | Siamese trackers have recently achieved interesting results due to their balance between accuracy and speed. This success is mainly due to the fact that deep similarity networks were specifically designed to address the image similarity problem. Therefore, they are inherently more appropriate than classical CNNs for th... |
1601.06023 | Serkan Ak | Serkan Ak, Hazer Inaltekin, H. Vincent Poor | Gaussian Approximation for the Downlink Interference in Heterogeneous
Cellular Networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper derives Gaussian approximation bounds for the standardized
aggregate wireless interference (AWI) in the downlink of K-tier heterogeneous
cellular networks when base stations in each tier are distributed over the
plane according to a (possibly non-homogeneous) Poisson process. The proposed
methodology is ge... | [
{
"created": "Fri, 22 Jan 2016 14:44:24 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Feb 2016 13:18:21 GMT",
"version": "v2"
}
] | 2016-02-05 | [
[
"Ak",
"Serkan",
""
],
[
"Inaltekin",
"Hazer",
""
],
[
"Poor",
"H. Vincent",
""
]
] | This paper derives Gaussian approximation bounds for the standardized aggregate wireless interference (AWI) in the downlink of K-tier heterogeneous cellular networks when base stations in each tier are distributed over the plane according to a (possibly non-homogeneous) Poisson process. The proposed methodology is gene... |
1905.06802 | Mohsen Annabestani | Mohsen Annabestani, Mahshid Nasserian, Fatemeh Hasanzadeh, Mohammad
Taherzadeh-Sani, Alireza Hassanzadeh | An Algebraic Approach to Fast Estimation of the Threshold Voltage of
Junctionless Double Gate MOSFETs Using the Gram Schmidt Method | null | null | null | null | cs.DC physics.app-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The effect of decreasing Drain-Induced Barrier Lowering (DIBL) is one of the
non-desirable short-channel effects in the MOSFETs family, which causes the
threshold voltage of the transistor to be reduced by increasing the voltage of
the drain. This effect makes it impossible for circuit designers to consider VT
as a c... | [
{
"created": "Thu, 9 May 2019 23:09:44 GMT",
"version": "v1"
}
] | 2019-05-17 | [
[
"Annabestani",
"Mohsen",
""
],
[
"Nasserian",
"Mahshid",
""
],
[
"Hasanzadeh",
"Fatemeh",
""
],
[
"Taherzadeh-Sani",
"Mohammad",
""
],
[
"Hassanzadeh",
"Alireza",
""
]
] | The effect of decreasing Drain-Induced Barrier Lowering (DIBL) is one of the non-desirable short-channel effects in the MOSFETs family, which causes the threshold voltage of the transistor to be reduced by increasing the voltage of the drain. This effect makes it impossible for circuit designers to consider VT as a con... |
2111.06867 | Debayan Gupta | Arup Mondal and Yash More and Ruthu Hulikal Rooparaghunath and Debayan
Gupta | Flatee: Federated Learning Across Trusted Execution Environments | IEEE Euro S&P 2021 Poster; see
https://www.ieee-security.org/TC/EuroSP2021/posters.html | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Federated learning allows us to distributively train a machine learning model
where multiple parties share local model parameters without sharing private
data. However, parameter exchange may still leak information. Several
approaches have been proposed to overcome this, based on multi-party
computation, fully homomo... | [
{
"created": "Fri, 12 Nov 2021 18:38:19 GMT",
"version": "v1"
}
] | 2021-11-15 | [
[
"Mondal",
"Arup",
""
],
[
"More",
"Yash",
""
],
[
"Rooparaghunath",
"Ruthu Hulikal",
""
],
[
"Gupta",
"Debayan",
""
]
] | Federated learning allows us to distributively train a machine learning model where multiple parties share local model parameters without sharing private data. However, parameter exchange may still leak information. Several approaches have been proposed to overcome this, based on multi-party computation, fully homomorp... |
2402.10451 | Susumu Kubo | Susumu Kubo, Kazuhisa Makino, Souta Sakamoto | Composition Orderings for Linear Functions and Matrix Multiplication
Orderings | 38 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider composition orderings for linear functions of one variable. Given
$n$ linear functions $f_1,\dots,f_n$ and a constant $c$, the objective is to
find a permutation $\sigma$ that minimizes/maximizes
$f_{\sigma(n)}\circ\dots\circ f_{\sigma(1)}(c)$. It was first studied in the
area of time-dependent scheduling... | [
{
"created": "Fri, 16 Feb 2024 04:55:49 GMT",
"version": "v1"
}
] | 2024-02-19 | [
[
"Kubo",
"Susumu",
""
],
[
"Makino",
"Kazuhisa",
""
],
[
"Sakamoto",
"Souta",
""
]
] | We consider composition orderings for linear functions of one variable. Given $n$ linear functions $f_1,\dots,f_n$ and a constant $c$, the objective is to find a permutation $\sigma$ that minimizes/maximizes $f_{\sigma(n)}\circ\dots\circ f_{\sigma(1)}(c)$. It was first studied in the area of time-dependent scheduling, ... |
2106.04897 | Hanan Aldarmaki | Hanan Aldarmaki, Asad Ullah, Nazar Zaki | Unsupervised Automatic Speech Recognition: A Review | 26 pages + 10 pages of references, 3 figures. Speech Communication
(2022) | null | 10.1016/j.specom.2022.02.005 | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Automatic Speech Recognition (ASR) systems can be trained to achieve
remarkable performance given large amounts of manually transcribed speech, but
large labeled data sets can be difficult or expensive to acquire for all
languages of interest. In this paper, we review the research literature to
identify models and id... | [
{
"created": "Wed, 9 Jun 2021 08:33:20 GMT",
"version": "v1"
},
{
"created": "Sun, 20 Mar 2022 09:46:53 GMT",
"version": "v2"
}
] | 2022-03-22 | [
[
"Aldarmaki",
"Hanan",
""
],
[
"Ullah",
"Asad",
""
],
[
"Zaki",
"Nazar",
""
]
] | Automatic Speech Recognition (ASR) systems can be trained to achieve remarkable performance given large amounts of manually transcribed speech, but large labeled data sets can be difficult or expensive to acquire for all languages of interest. In this paper, we review the research literature to identify models and idea... |
1911.13179 | Tamir Bendory | Eitan Levin and Tamir Bendory | A note on Douglas-Rachford, gradients, and phase retrieval | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The properties of gradient techniques for the phase retrieval problem have
received a considerable attention in recent years. In almost all applications,
however, the phase retrieval problem is solved using a family of algorithms
that can be interpreted as variants of Douglas-Rachford splitting. In this
work, we esta... | [
{
"created": "Fri, 29 Nov 2019 16:24:54 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Jun 2020 04:36:44 GMT",
"version": "v2"
}
] | 2020-06-05 | [
[
"Levin",
"Eitan",
""
],
[
"Bendory",
"Tamir",
""
]
] | The properties of gradient techniques for the phase retrieval problem have received a considerable attention in recent years. In almost all applications, however, the phase retrieval problem is solved using a family of algorithms that can be interpreted as variants of Douglas-Rachford splitting. In this work, we establ... |
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