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1702.02471
Adrien Bizeray
Adrien M. Bizeray, Jin-Ho Kim, Stephen R. Duncan and David A. Howey
Identifiability and parameter estimation of the single particle lithium-ion battery model
16 pages, 9 figures, pre-print submitted to the IEEE Transactions on Control Systems Technology
null
10.1109/TCST.2018.2838097
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the identifiability and estimation of the parameters of the single particle model (SPM) for lithium-ion battery simulation. Identifiability is addressed both in principle and in practice. The approach begins by grouping parameters and partially non-dimensionalising the SPM to determine the max...
[ { "created": "Wed, 8 Feb 2017 15:28:15 GMT", "version": "v1" }, { "created": "Wed, 24 Jan 2018 17:33:05 GMT", "version": "v2" } ]
2018-10-03
[ [ "Bizeray", "Adrien M.", "" ], [ "Kim", "Jin-Ho", "" ], [ "Duncan", "Stephen R.", "" ], [ "Howey", "David A.", "" ] ]
This paper investigates the identifiability and estimation of the parameters of the single particle model (SPM) for lithium-ion battery simulation. Identifiability is addressed both in principle and in practice. The approach begins by grouping parameters and partially non-dimensionalising the SPM to determine the maxim...
2403.12976
Vincenzo Barbuto
Vincenzo Barbuto, Claudio Savaglio, Roberto Minerva, Noel Crespi, Giancarlo Fortino
Towards an Edge Intelligence-Based Traffic Monitoring System
null
null
10.1109/SMC53992.2023.10393907
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Cities have undergone significant changes due to the rapid increase in urban population, heightened demand for resources, and growing concerns over climate change. To address these challenges, digital transformation has become a necessity. Recent advancements in Artificial Intelligence (AI) and sensing techniques, su...
[ { "created": "Mon, 5 Feb 2024 17:08:18 GMT", "version": "v1" } ]
2024-03-21
[ [ "Barbuto", "Vincenzo", "" ], [ "Savaglio", "Claudio", "" ], [ "Minerva", "Roberto", "" ], [ "Crespi", "Noel", "" ], [ "Fortino", "Giancarlo", "" ] ]
Cities have undergone significant changes due to the rapid increase in urban population, heightened demand for resources, and growing concerns over climate change. To address these challenges, digital transformation has become a necessity. Recent advancements in Artificial Intelligence (AI) and sensing techniques, such...
2404.14248
Zongwei Wu
Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng ...
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
NTIRE 2024 Challenge Report
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, ...
[ { "created": "Mon, 22 Apr 2024 15:01:12 GMT", "version": "v1" } ]
2024-04-23
[ [ "Liu", "Xiaoning", "" ], [ "Wu", "Zongwei", "" ], [ "Li", "Ao", "" ], [ "Vasluianu", "Florin-Alexandru", "" ], [ "Zhang", "Yulun", "" ], [ "Gu", "Shuhang", "" ], [ "Zhang", "Le", "" ], [ "Zhu", ...
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, in...
1702.01394
Jeffrey Shallit
J\"org Endrullis, Jeffrey Shallit, Tim Smith
Undecidability and Finite Automata
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using a novel rewriting problem, we show that several natural decision problems about finite automata are undecidable (i.e., recursively unsolvable). In contrast, we also prove three related problems are decidable. We apply one result to prove the undecidability of a related problem about k-automatic sets of rational...
[ { "created": "Sun, 5 Feb 2017 12:37:36 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2017 20:47:33 GMT", "version": "v2" } ]
2017-03-01
[ [ "Endrullis", "Jörg", "" ], [ "Shallit", "Jeffrey", "" ], [ "Smith", "Tim", "" ] ]
Using a novel rewriting problem, we show that several natural decision problems about finite automata are undecidable (i.e., recursively unsolvable). In contrast, we also prove three related problems are decidable. We apply one result to prove the undecidability of a related problem about k-automatic sets of rational n...
1009.0072
Wei Yang
Wei Yang, Lihua Li, Gang Wu, and Haifeng Wang
Joint Relay Selection and Link Adaptation for Distributed Beamforming in Regenerative Cooperative Networks
Accepted by 2010 International Symposium on Information Theory and its Applications (ISITA)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relay selection enhances the performance of the cooperative networks by selecting the links with higher capacity. Meanwhile link adaptation improves the spectral efficiency of wireless data-centric networks through adapting the modulation and coding schemes (MCS) to the current link condition. In this paper, relay se...
[ { "created": "Wed, 1 Sep 2010 02:02:32 GMT", "version": "v1" } ]
2010-09-02
[ [ "Yang", "Wei", "" ], [ "Li", "Lihua", "" ], [ "Wu", "Gang", "" ], [ "Wang", "Haifeng", "" ] ]
Relay selection enhances the performance of the cooperative networks by selecting the links with higher capacity. Meanwhile link adaptation improves the spectral efficiency of wireless data-centric networks through adapting the modulation and coding schemes (MCS) to the current link condition. In this paper, relay sele...
2310.07393
Matteo El Hariry
Matteo El-Hariry, Antoine Richard, Miguel Olivares-Mendez
RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, realistic simulation environments are essential to validate and build reliable robotic solutions. This is particularly true when using Reinforcement Learning (RL) based control policies. To this end, both robotics and RL developers need tools and workflows to create physically accurate simulations and synth...
[ { "created": "Wed, 11 Oct 2023 11:21:45 GMT", "version": "v1" } ]
2023-10-12
[ [ "El-Hariry", "Matteo", "" ], [ "Richard", "Antoine", "" ], [ "Olivares-Mendez", "Miguel", "" ] ]
Nowadays, realistic simulation environments are essential to validate and build reliable robotic solutions. This is particularly true when using Reinforcement Learning (RL) based control policies. To this end, both robotics and RL developers need tools and workflows to create physically accurate simulations and synthet...
2303.15012
Senmao Li
Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
3D-Aware Multi-Class Image-to-Image Translation with NeRFs
Accepted by CVPR2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in 3D-aware generative models (3D-aware GANs) combined with Neural Radiance Fields (NeRF) have achieved impressive results. However no prior works investigate 3D-aware GANs for 3D consistent multi-class image-to-image (3D-aware I2I) translation. Naively using 2D-I2I translation methods suffers from un...
[ { "created": "Mon, 27 Mar 2023 08:54:51 GMT", "version": "v1" } ]
2023-03-28
[ [ "Li", "Senmao", "" ], [ "van de Weijer", "Joost", "" ], [ "Wang", "Yaxing", "" ], [ "Khan", "Fahad Shahbaz", "" ], [ "Liu", "Meiqin", "" ], [ "Yang", "Jian", "" ] ]
Recent advances in 3D-aware generative models (3D-aware GANs) combined with Neural Radiance Fields (NeRF) have achieved impressive results. However no prior works investigate 3D-aware GANs for 3D consistent multi-class image-to-image (3D-aware I2I) translation. Naively using 2D-I2I translation methods suffers from unre...
1102.1265
Joakim Jalden
Joakim Jalden and Petros Elia
Sphere decoding complexity exponent for decoding full rate codes over the quasi-static MIMO channel
19 Pages, 4 figures. Submitted to the IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the setting of quasi-static multiple-input multiple-output (MIMO) channels, we consider the high signal-to-noise ratio (SNR) asymptotic complexity required by the sphere decoding (SD) algorithm for decoding a large class of full rate linear space-time codes. With SD complexity having random fluctuations induced by...
[ { "created": "Mon, 7 Feb 2011 10:24:09 GMT", "version": "v1" } ]
2011-02-08
[ [ "Jalden", "Joakim", "" ], [ "Elia", "Petros", "" ] ]
In the setting of quasi-static multiple-input multiple-output (MIMO) channels, we consider the high signal-to-noise ratio (SNR) asymptotic complexity required by the sphere decoding (SD) algorithm for decoding a large class of full rate linear space-time codes. With SD complexity having random fluctuations induced by t...
1806.04346
Ruidan He
Ruidan He and Wee Sun Lee and Hwee Tou Ng and Daniel Dahlmeier
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Accepted to ACL 2018 (short paper)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification. However, due to the difficulties in annotating aspect-level data, existing public datasets for this task are all relatively small, which largely limits the effectiveness of those neural models. In...
[ { "created": "Tue, 12 Jun 2018 06:04:11 GMT", "version": "v1" } ]
2018-06-13
[ [ "He", "Ruidan", "" ], [ "Lee", "Wee Sun", "" ], [ "Ng", "Hwee Tou", "" ], [ "Dahlmeier", "Daniel", "" ] ]
Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification. However, due to the difficulties in annotating aspect-level data, existing public datasets for this task are all relatively small, which largely limits the effectiveness of those neural models. In t...
2006.02163
Xuan Phi Nguyen
Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen, Wu Kui, Ai Ti Aw
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Accepted to a conference paper at ICML 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent unsupervised machine translation (UMT) systems usually employ three main principles: initialization, language modeling and iterative back-translation, though they may apply them differently. Crucially, iterative back-translation and denoising auto-encoding for language modeling provide data diversity to train ...
[ { "created": "Wed, 3 Jun 2020 10:57:21 GMT", "version": "v1" }, { "created": "Mon, 5 Oct 2020 14:07:14 GMT", "version": "v2" }, { "created": "Sat, 6 Feb 2021 18:02:41 GMT", "version": "v3" }, { "created": "Mon, 24 May 2021 16:07:26 GMT", "version": "v4" } ]
2021-05-25
[ [ "Nguyen", "Xuan-Phi", "" ], [ "Joty", "Shafiq", "" ], [ "Nguyen", "Thanh-Tung", "" ], [ "Kui", "Wu", "" ], [ "Aw", "Ai Ti", "" ] ]
Recent unsupervised machine translation (UMT) systems usually employ three main principles: initialization, language modeling and iterative back-translation, though they may apply them differently. Crucially, iterative back-translation and denoising auto-encoding for language modeling provide data diversity to train th...
1912.11194
Qi Qi
Qi Qi, Yan Yan, Xiaoyu Wang, Tianbao Yang
A Simple and Effective Framework for Pairwise Deep Metric Learning
16 pages, 5 figures
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep metric learning (DML) has received much attention in deep learning due to its wide applications in computer vision. Previous studies have focused on designing complicated losses and hard example mining methods, which are mostly heuristic and lack of theoretical understanding. In this paper, we cast DML as a simp...
[ { "created": "Tue, 24 Dec 2019 03:47:25 GMT", "version": "v1" }, { "created": "Sat, 11 Jan 2020 15:58:11 GMT", "version": "v2" }, { "created": "Thu, 18 Jun 2020 15:44:21 GMT", "version": "v3" } ]
2020-06-19
[ [ "Qi", "Qi", "" ], [ "Yan", "Yan", "" ], [ "Wang", "Xiaoyu", "" ], [ "Yang", "Tianbao", "" ] ]
Deep metric learning (DML) has received much attention in deep learning due to its wide applications in computer vision. Previous studies have focused on designing complicated losses and hard example mining methods, which are mostly heuristic and lack of theoretical understanding. In this paper, we cast DML as a simple...
2003.08951
Yuya Obinata
Yuya Obinata and Takuma Yamamoto
Temporal Extension Module for Skeleton-Based Action Recognition
Accepted on ICPR2020, 7 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a module that extends the temporal graph of a graph convolutional network (GCN) for action recognition with a sequence of skeletons. Existing methods attempt to represent a more appropriate spatial graph on an intra-frame, but disregard optimization of the temporal graph on the interframe. Concretely, thes...
[ { "created": "Thu, 19 Mar 2020 18:00:04 GMT", "version": "v1" }, { "created": "Mon, 19 Oct 2020 02:39:04 GMT", "version": "v2" } ]
2020-10-20
[ [ "Obinata", "Yuya", "" ], [ "Yamamoto", "Takuma", "" ] ]
We present a module that extends the temporal graph of a graph convolutional network (GCN) for action recognition with a sequence of skeletons. Existing methods attempt to represent a more appropriate spatial graph on an intra-frame, but disregard optimization of the temporal graph on the interframe. Concretely, these ...
2402.18419
Shubham Vatsal
Shubham Vatsal, Ayush Singh and Shabnam Tafreshi
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professionals to get clearance in advance from a health plan before performing a particular procedure on a patient in order to be eligible for paymen...
[ { "created": "Wed, 28 Feb 2024 15:39:53 GMT", "version": "v1" } ]
2024-02-29
[ [ "Vatsal", "Shubham", "" ], [ "Singh", "Ayush", "" ], [ "Tafreshi", "Shabnam", "" ] ]
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professionals to get clearance in advance from a health plan before performing a particular procedure on a patient in order to be eligible for payment ...
1803.02101
Frank Meyer
Wissam Siblini and Frank Meyer and Pascale Kuntz
VIPE: A new interactive classification framework for large sets of short texts - application to opinion mining
8 pages
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new interactive opinion mining tool that helps users to classify large sets of short texts originated from Web opinion polls, technical forums or Twitter. From a manual multi-label pre-classification of a very limited text subset, a learning algorithm predicts the labels of the remaining texts o...
[ { "created": "Tue, 6 Mar 2018 10:45:27 GMT", "version": "v1" } ]
2018-03-07
[ [ "Siblini", "Wissam", "" ], [ "Meyer", "Frank", "" ], [ "Kuntz", "Pascale", "" ] ]
This paper presents a new interactive opinion mining tool that helps users to classify large sets of short texts originated from Web opinion polls, technical forums or Twitter. From a manual multi-label pre-classification of a very limited text subset, a learning algorithm predicts the labels of the remaining texts of ...
2108.08987
Cl\'ement Canonne
Cl\'ement L. Canonne and Hongyi Lyu
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
Accepted to the SIAM Symposium on Simplicity in Algorithms (SOSA 2022). Added some details and discussions
null
null
null
cs.DS cs.CR cs.DM stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Uniformity testing, or testing whether independent observations are uniformly distributed, is the prototypical question in distribution testing. Over the past years, a line of work has been focusing on uniformity testing under privacy constraints on the data, and obtained private and data-efficient algorithms under v...
[ { "created": "Fri, 20 Aug 2021 03:43:12 GMT", "version": "v1" }, { "created": "Mon, 18 Oct 2021 08:20:42 GMT", "version": "v2" } ]
2021-10-19
[ [ "Canonne", "Clément L.", "" ], [ "Lyu", "Hongyi", "" ] ]
Uniformity testing, or testing whether independent observations are uniformly distributed, is the prototypical question in distribution testing. Over the past years, a line of work has been focusing on uniformity testing under privacy constraints on the data, and obtained private and data-efficient algorithms under var...
2406.05631
Sana Ayromlou
Sana Ayromlou, Teresa Tsang, Purang Abolmaesumi, Xiaoxiao Li
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
In real-world clinical settings, traditional deep learning-based classification methods struggle with diagnosing newly introduced disease types because they require samples from all disease classes for offline training. Class incremental learning offers a promising solution by adapting a deep network trained on speci...
[ { "created": "Sun, 9 Jun 2024 03:52:21 GMT", "version": "v1" } ]
2024-06-11
[ [ "Ayromlou", "Sana", "" ], [ "Tsang", "Teresa", "" ], [ "Abolmaesumi", "Purang", "" ], [ "Li", "Xiaoxiao", "" ] ]
In real-world clinical settings, traditional deep learning-based classification methods struggle with diagnosing newly introduced disease types because they require samples from all disease classes for offline training. Class incremental learning offers a promising solution by adapting a deep network trained on specifi...
2012.00267
Hongyang Du
Hongyang Du, Jiayi Zhang, Ke Guan, Dusit Niyato, Huiying Jiao, Zhiqin Wang, and Thomas K\"urner
Performance and Optimization of Reconfigurable Intelligent Surface Aided THz Communications
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
TeraHertz (THz) communications can satisfy the high data rate demand with massive bandwidth. However, severe path attenuation and hardware imperfection greatly alleviate its performance. Therefore, we utilize the reconfigurable intelligent surface (RIS) technology and investigate the RIS-aided THz communications. We ...
[ { "created": "Tue, 1 Dec 2020 05:00:38 GMT", "version": "v1" }, { "created": "Sun, 20 Mar 2022 08:43:14 GMT", "version": "v2" } ]
2022-03-22
[ [ "Du", "Hongyang", "" ], [ "Zhang", "Jiayi", "" ], [ "Guan", "Ke", "" ], [ "Niyato", "Dusit", "" ], [ "Jiao", "Huiying", "" ], [ "Wang", "Zhiqin", "" ], [ "Kürner", "Thomas", "" ] ]
TeraHertz (THz) communications can satisfy the high data rate demand with massive bandwidth. However, severe path attenuation and hardware imperfection greatly alleviate its performance. Therefore, we utilize the reconfigurable intelligent surface (RIS) technology and investigate the RIS-aided THz communications. We fi...
2405.08200
Rolando Garcia
Rolando Garcia
Interactive Lab Notebooks for Robotics Researchers
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive notebooks, such as Jupyter, have revolutionized the field of data science by providing an integrated environment for data, code, and documentation. However, their adoption by robotics researchers and model developers has been limited. This study investigates the logging and record-keeping practices of rob...
[ { "created": "Mon, 13 May 2024 21:33:58 GMT", "version": "v1" } ]
2024-05-15
[ [ "Garcia", "Rolando", "" ] ]
Interactive notebooks, such as Jupyter, have revolutionized the field of data science by providing an integrated environment for data, code, and documentation. However, their adoption by robotics researchers and model developers has been limited. This study investigates the logging and record-keeping practices of robot...
2310.18615
Xiangchen Song
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity
NeurIPS 2023. arXiv admin note: text overlap with arXiv:2210.13647
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
In unsupervised causal representation learning for sequential data with time-delayed latent causal influences, strong identifiability results for the disentanglement of causally-related latent variables have been established in stationary settings by leveraging temporal structure. However, in nonstationary setting, e...
[ { "created": "Sat, 28 Oct 2023 06:46:03 GMT", "version": "v1" }, { "created": "Thu, 1 Aug 2024 09:43:57 GMT", "version": "v2" } ]
2024-08-02
[ [ "Song", "Xiangchen", "" ], [ "Yao", "Weiran", "" ], [ "Fan", "Yewen", "" ], [ "Dong", "Xinshuai", "" ], [ "Chen", "Guangyi", "" ], [ "Niebles", "Juan Carlos", "" ], [ "Xing", "Eric", "" ], [ "Zhang"...
In unsupervised causal representation learning for sequential data with time-delayed latent causal influences, strong identifiability results for the disentanglement of causally-related latent variables have been established in stationary settings by leveraging temporal structure. However, in nonstationary setting, exi...
1312.7793
Zhao Tan
Zhao Tan, Yonina C. Eldar, Arye Nehorai
Direction of Arrival Estimation Using Co-prime Arrays: A Super Resolution Viewpoint
Submitted on December 17th, 2013
null
10.1109/TSP.2014.2354316
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of non-uniform linear arrays, referred to as co-prime arrays, in this paper. By exploiting the second order statistical information of the received signals, co-prime arrays exhibit O(MN) degrees of freedom with only M + ...
[ { "created": "Mon, 30 Dec 2013 17:42:58 GMT", "version": "v1" } ]
2015-06-18
[ [ "Tan", "Zhao", "" ], [ "Eldar", "Yonina C.", "" ], [ "Nehorai", "Arye", "" ] ]
We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of non-uniform linear arrays, referred to as co-prime arrays, in this paper. By exploiting the second order statistical information of the received signals, co-prime arrays exhibit O(MN) degrees of freedom with only M + N ...
2305.06732
Eleonore Bach
Eleonore Bach, Friedrich Eisenbrand, Rom Pinchasi
Integer points in the degree-sequence polytope
14 pages
null
null
null
cs.DM
http://creativecommons.org/licenses/by-sa/4.0/
An integer vector $b \in \mathbb{Z}^d$ is a degree sequence if there exists a hypergraph with vertices $\{1,\dots,d\}$ such that each $b_i$ is the number of hyperedges containing $i$. The degree-sequence polytope $\mathscr{Z}^d$ is the convex hull of all degree sequences. We show that all but a $2^{-\Omega(d)}$ fract...
[ { "created": "Thu, 11 May 2023 11:20:40 GMT", "version": "v1" } ]
2023-05-12
[ [ "Bach", "Eleonore", "" ], [ "Eisenbrand", "Friedrich", "" ], [ "Pinchasi", "Rom", "" ] ]
An integer vector $b \in \mathbb{Z}^d$ is a degree sequence if there exists a hypergraph with vertices $\{1,\dots,d\}$ such that each $b_i$ is the number of hyperedges containing $i$. The degree-sequence polytope $\mathscr{Z}^d$ is the convex hull of all degree sequences. We show that all but a $2^{-\Omega(d)}$ fractio...
1602.07720
Renato Paes Leme
Renato Paes Leme, Martin Pal, Sergei Vassilvitskii
A Field Guide to Personalized Reserve Prices
Accepted to WWW'16
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the question of setting and testing reserve prices in single item auctions when the bidders are not identical. At a high level, there are two generalizations of the standard second price auction: in the lazy version we first determine the winner, and then apply reserve prices; in the eager version we first d...
[ { "created": "Wed, 24 Feb 2016 21:39:17 GMT", "version": "v1" } ]
2016-02-26
[ [ "Leme", "Renato Paes", "" ], [ "Pal", "Martin", "" ], [ "Vassilvitskii", "Sergei", "" ] ]
We study the question of setting and testing reserve prices in single item auctions when the bidders are not identical. At a high level, there are two generalizations of the standard second price auction: in the lazy version we first determine the winner, and then apply reserve prices; in the eager version we first dis...
1906.09029
Vincenzo Matta
Augusto Santos, Vincenzo Matta, and Ali H. Sayed
Topology Inference over Networks with Nonlinear Coupling
Submitted for publication
null
null
null
cs.MA cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work examines the problem of topology inference over discrete-time nonlinear stochastic networked dynamical systems. The goal is to recover the underlying digraph linking the network agents, from observations of their state-evolution. The dynamical law governing the state-evolution of the interacting agents migh...
[ { "created": "Fri, 21 Jun 2019 09:44:29 GMT", "version": "v1" } ]
2019-06-24
[ [ "Santos", "Augusto", "" ], [ "Matta", "Vincenzo", "" ], [ "Sayed", "Ali H.", "" ] ]
This work examines the problem of topology inference over discrete-time nonlinear stochastic networked dynamical systems. The goal is to recover the underlying digraph linking the network agents, from observations of their state-evolution. The dynamical law governing the state-evolution of the interacting agents might ...
2201.06539
Keuntaek Lee
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L)
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
It can be difficult to autonomously produce driver behavior so that it appears natural to other traffic participants. Through Inverse Reinforcement Learning (IRL), we can automate this process by learning the underlying reward function from human demonstrations. We propose a new IRL algorithm that learns a goal-condi...
[ { "created": "Mon, 17 Jan 2022 17:36:29 GMT", "version": "v1" } ]
2022-01-19
[ [ "Lee", "Keuntaek", "" ], [ "Isele", "David", "" ], [ "Theodorou", "Evangelos A.", "" ], [ "Bae", "Sangjae", "" ] ]
It can be difficult to autonomously produce driver behavior so that it appears natural to other traffic participants. Through Inverse Reinforcement Learning (IRL), we can automate this process by learning the underlying reward function from human demonstrations. We propose a new IRL algorithm that learns a goal-conditi...
1903.06473
Zerong Zheng
Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, Yebin Liu
DeepHuman: 3D Human Reconstruction from a Single Image
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image. To reduce the ambiguities associated with the surface geometry reconstruction, even for the reconstruction of invisible areas, we propose and leverage a dense semantic representation generated f...
[ { "created": "Fri, 15 Mar 2019 11:38:15 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2019 05:44:21 GMT", "version": "v2" } ]
2019-03-29
[ [ "Zheng", "Zerong", "" ], [ "Yu", "Tao", "" ], [ "Wei", "Yixuan", "" ], [ "Dai", "Qionghai", "" ], [ "Liu", "Yebin", "" ] ]
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image. To reduce the ambiguities associated with the surface geometry reconstruction, even for the reconstruction of invisible areas, we propose and leverage a dense semantic representation generated fro...
2404.18721
Shreya Santra
Shreya Santra, Kentaro Uno, Gen Kudo, and Kazuya Yoshida
Risk-Aware Coverage Path Planning for Lunar Micro-Rovers Leveraging Global and Local Environmental Data
6 pages, 11 figures. Manuscript accepted at the IEEE International Conference on Space Robotics 2024
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper presents a novel 3D myopic coverage path planning algorithm for lunar micro-rovers that can explore unknown environments with limited sensing and computational capabilities. The algorithm expands upon traditional non-graph path planning methods to accommodate the complexities of lunar terrain, utilizing gl...
[ { "created": "Mon, 29 Apr 2024 14:10:13 GMT", "version": "v1" } ]
2024-04-30
[ [ "Santra", "Shreya", "" ], [ "Uno", "Kentaro", "" ], [ "Kudo", "Gen", "" ], [ "Yoshida", "Kazuya", "" ] ]
This paper presents a novel 3D myopic coverage path planning algorithm for lunar micro-rovers that can explore unknown environments with limited sensing and computational capabilities. The algorithm expands upon traditional non-graph path planning methods to accommodate the complexities of lunar terrain, utilizing glob...
1610.03738
Daniel Wesierski
Daniel Wesierski
Exploring the Entire Regularization Path for the Asymmetric Cost Linear Support Vector Machine
8 pages, 2 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an algorithm for exploring the entire regularization path of asymmetric-cost linear support vector machines. Empirical evidence suggests the predictive power of support vector machines depends on the regularization parameters of the training algorithms. The algorithms exploring the entire regularization pa...
[ { "created": "Wed, 12 Oct 2016 14:57:10 GMT", "version": "v1" } ]
2016-10-13
[ [ "Wesierski", "Daniel", "" ] ]
We propose an algorithm for exploring the entire regularization path of asymmetric-cost linear support vector machines. Empirical evidence suggests the predictive power of support vector machines depends on the regularization parameters of the training algorithms. The algorithms exploring the entire regularization path...
1504.05451
Jing Yang
Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu
Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the compressive tracking (CT) method has attracted much attention due to its high efficiency, but it cannot well deal with the large scale target appearance variations due to its data-independent random projection matrix that results in less discriminative features. To address this issue, in this paper we p...
[ { "created": "Tue, 21 Apr 2015 14:55:07 GMT", "version": "v1" }, { "created": "Wed, 22 Apr 2015 01:27:08 GMT", "version": "v2" } ]
2015-04-23
[ [ "Liu", "Qingshan", "" ], [ "Yang", "Jing", "" ], [ "Zhang", "Kaihua", "" ], [ "Wu", "Yi", "" ] ]
Recently, the compressive tracking (CT) method has attracted much attention due to its high efficiency, but it cannot well deal with the large scale target appearance variations due to its data-independent random projection matrix that results in less discriminative features. To address this issue, in this paper we pro...
2111.04310
Byeongjun Park
Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
5 pages, 2 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Photometric consistency loss is one of the representative objective functions commonly used for self-supervised monocular depth estimation. However, this loss often causes unstable depth predictions in textureless or occluded regions due to incorrect guidance. Recent self-supervised learning approaches tackle this is...
[ { "created": "Mon, 8 Nov 2021 07:44:31 GMT", "version": "v1" } ]
2021-11-09
[ [ "Park", "Byeongjun", "" ], [ "Kim", "Taekyung", "" ], [ "Go", "Hyojun", "" ], [ "Kim", "Changick", "" ] ]
Photometric consistency loss is one of the representative objective functions commonly used for self-supervised monocular depth estimation. However, this loss often causes unstable depth predictions in textureless or occluded regions due to incorrect guidance. Recent self-supervised learning approaches tackle this issu...
1912.12467
Alcardo Alex Barakabitze
Alcardo Alex Barakabitze, Nabajeet Barman, Arslan Ahmad, Saman Zadtootaghaj, Lingfen Sun, Maria G. Martini, Luigi Atzori
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
42 pages, 21 figures, 10 tables
null
10.1109/COMST.2019.2958784
null
cs.NI cs.MM eess.SP
http://creativecommons.org/licenses/by/4.0/
We provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a high level description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Stre...
[ { "created": "Sat, 28 Dec 2019 14:50:48 GMT", "version": "v1" } ]
2020-01-01
[ [ "Barakabitze", "Alcardo Alex", "" ], [ "Barman", "Nabajeet", "" ], [ "Ahmad", "Arslan", "" ], [ "Zadtootaghaj", "Saman", "" ], [ "Sun", "Lingfen", "" ], [ "Martini", "Maria G.", "" ], [ "Atzori", "Luigi", "...
We provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a high level description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Stream...
cs/0702085
Vincenzo Nicosia
V. Carchiolo, M. Malgeri, G. Mangioni and V. Nicosia
Social Behaviours Applied to P2P Systems: An efficient Algorithm for Resource Organisation
5 Pages; 8 Figures; Presented at COPS 2006 -- WETICE -- Manchester (UK)
15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2006. WETICE '06. June 2006 Page(s):65 - 72
null
null
cs.DC cs.IR
null
P2P systems are a great solution to the problem of distributing resources. The main issue of P2P networks is that searching and retrieving resources shared by peers is usually expensive and does not take into account similarities among peers. In this paper we present preliminary simulations of PROSA, a novel algorith...
[ { "created": "Wed, 14 Feb 2007 11:53:14 GMT", "version": "v1" } ]
2007-05-23
[ [ "Carchiolo", "V.", "" ], [ "Malgeri", "M.", "" ], [ "Mangioni", "G.", "" ], [ "Nicosia", "V.", "" ] ]
P2P systems are a great solution to the problem of distributing resources. The main issue of P2P networks is that searching and retrieving resources shared by peers is usually expensive and does not take into account similarities among peers. In this paper we present preliminary simulations of PROSA, a novel algorithm ...
0801.0677
Jad Saklawi
Paul C. Attie
Finite-state concurrent programs can be expressed pairwise
14 pages
null
null
null
cs.LO
null
We present a \emph{pairwise normal form} for finite-state shared memory concurrent programs: all variables are shared between exactly two processes, and the guards on transitions are conjunctions of conditions over this pairwise shared state. This representation has been used to efficiently (in polynomial time) synth...
[ { "created": "Fri, 4 Jan 2008 13:14:31 GMT", "version": "v1" } ]
2008-01-07
[ [ "Attie", "Paul C.", "" ] ]
We present a \emph{pairwise normal form} for finite-state shared memory concurrent programs: all variables are shared between exactly two processes, and the guards on transitions are conjunctions of conditions over this pairwise shared state. This representation has been used to efficiently (in polynomial time) synthes...
2212.04692
Toshihiro Ota
Toshihiro Ota, Ryo Karakida
Attention in a family of Boltzmann machines emerging from modern Hopfield networks
15 pages, 3 figures. v2: added figures and various corrections/improvements especially in Introduction and Section 3. Published version
null
null
RIKEN-iTHEMS-Report-22
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hopfield networks and Boltzmann machines (BMs) are fundamental energy-based neural network models. Recent studies on modern Hopfield networks have broaden the class of energy functions and led to a unified perspective on general Hopfield networks including an attention module. In this letter, we consider the BM count...
[ { "created": "Fri, 9 Dec 2022 06:52:36 GMT", "version": "v1" }, { "created": "Wed, 29 Mar 2023 02:36:58 GMT", "version": "v2" } ]
2023-03-30
[ [ "Ota", "Toshihiro", "" ], [ "Karakida", "Ryo", "" ] ]
Hopfield networks and Boltzmann machines (BMs) are fundamental energy-based neural network models. Recent studies on modern Hopfield networks have broaden the class of energy functions and led to a unified perspective on general Hopfield networks including an attention module. In this letter, we consider the BM counter...
2404.15886
Eman Alqahtani
Eman Alqahtani and Mustafa A. Mustafa
Privacy-Preserving Billing for Local Energy Markets (Long Version)
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a privacy-preserving billing protocol for local energy markets (PBP-LEMs) that takes into account market participants' energy volume deviations from their bids. PBP-LEMs enables a group of market entities to jointly compute participants' bills in a decentralized and privacy-preserving manner without sacrif...
[ { "created": "Wed, 24 Apr 2024 14:12:56 GMT", "version": "v1" } ]
2024-04-25
[ [ "Alqahtani", "Eman", "" ], [ "Mustafa", "Mustafa A.", "" ] ]
We propose a privacy-preserving billing protocol for local energy markets (PBP-LEMs) that takes into account market participants' energy volume deviations from their bids. PBP-LEMs enables a group of market entities to jointly compute participants' bills in a decentralized and privacy-preserving manner without sacrific...
1302.6677
Ashish Sabharwal
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integration is affected by the curse of dimensionality and quickly becomes intractable as the dimensionality of the problem grows. We propose a randomized algorithm that, with high probability, gives a constant-factor approximation of a general discrete integral defined over an exponentially large set. This algorithm...
[ { "created": "Wed, 27 Feb 2013 06:45:28 GMT", "version": "v1" } ]
2013-02-28
[ [ "Ermon", "Stefano", "" ], [ "Gomes", "Carla P.", "" ], [ "Sabharwal", "Ashish", "" ], [ "Selman", "Bart", "" ] ]
Integration is affected by the curse of dimensionality and quickly becomes intractable as the dimensionality of the problem grows. We propose a randomized algorithm that, with high probability, gives a constant-factor approximation of a general discrete integral defined over an exponentially large set. This algorithm r...
2408.06707
JunYong Choi
JunYong Choi, SeokYeong Lee, Haesol Park, Seung-Won Jung, Ig-Jae Kim, Junghyun Cho
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. While multi-view images have been widely used for object-level inverse rendering, scene-level inverse rendering has primarily been studied us...
[ { "created": "Tue, 13 Aug 2024 08:04:23 GMT", "version": "v1" } ]
2024-08-14
[ [ "Choi", "JunYong", "" ], [ "Lee", "SeokYeong", "" ], [ "Park", "Haesol", "" ], [ "Jung", "Seung-Won", "" ], [ "Kim", "Ig-Jae", "" ], [ "Cho", "Junghyun", "" ] ]
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. While multi-view images have been widely used for object-level inverse rendering, scene-level inverse rendering has primarily been studied usin...
1802.01920
Vincent Neiger
Pascal Giorgi and Vincent Neiger
Certification of minimal approximant bases
ISSAC 2018. 8 pages, 3 algorithms, acmart sigconf style
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For a given computational problem, a certificate is a piece of data that one (the prover) attaches to the output with the aim of allowing efficient verification (by the verifier) that this output is correct. Here, we consider the minimal approximant basis problem, for which the fastest known algorithms output a polyn...
[ { "created": "Tue, 6 Feb 2018 12:57:47 GMT", "version": "v1" }, { "created": "Thu, 17 May 2018 20:35:04 GMT", "version": "v2" } ]
2018-05-21
[ [ "Giorgi", "Pascal", "" ], [ "Neiger", "Vincent", "" ] ]
For a given computational problem, a certificate is a piece of data that one (the prover) attaches to the output with the aim of allowing efficient verification (by the verifier) that this output is correct. Here, we consider the minimal approximant basis problem, for which the fastest known algorithms output a polynom...
1904.07154
Jaehun Kim
Jaehun Kim, Juli\'an Urbano, Cynthia C. S. Liem, Alan Hanjalic
Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings
this work was accepted for publication in the "Frontiers in Applied Mathematics and Statistics (Deep Learning: Status, Applications and Algorithms)"
null
null
null
cs.LG cs.SD eess.AS stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep neural networks have frequently been used to directly learn representations useful for a given task from raw input data. In terms of overall performance metrics, machine learning solutions employing deep representations frequently have been reported to greatly outperform those using hand-crafted feature represen...
[ { "created": "Mon, 15 Apr 2019 16:08:41 GMT", "version": "v1" }, { "created": "Tue, 15 Oct 2019 21:42:36 GMT", "version": "v2" }, { "created": "Thu, 17 Oct 2019 23:34:04 GMT", "version": "v3" } ]
2019-10-21
[ [ "Kim", "Jaehun", "" ], [ "Urbano", "Julián", "" ], [ "Liem", "Cynthia C. S.", "" ], [ "Hanjalic", "Alan", "" ] ]
Deep neural networks have frequently been used to directly learn representations useful for a given task from raw input data. In terms of overall performance metrics, machine learning solutions employing deep representations frequently have been reported to greatly outperform those using hand-crafted feature representa...
2106.02809
Kaihao Zhang
Lirong Zheng, Yanshan Li, Kaihao Zhang, Wenhan Luo
T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hazy images reduce the visibility of the image content, and haze will lead to failure in handling subsequent computer vision tasks. In this paper, we address the problem of image dehazing by proposing a dehazing network named T-Net, which consists of a backbone network based on the U-Net architecture and a dual atten...
[ { "created": "Sat, 5 Jun 2021 06:01:05 GMT", "version": "v1" } ]
2021-06-08
[ [ "Zheng", "Lirong", "" ], [ "Li", "Yanshan", "" ], [ "Zhang", "Kaihao", "" ], [ "Luo", "Wenhan", "" ] ]
Hazy images reduce the visibility of the image content, and haze will lead to failure in handling subsequent computer vision tasks. In this paper, we address the problem of image dehazing by proposing a dehazing network named T-Net, which consists of a backbone network based on the U-Net architecture and a dual attenti...
cs/0603067
Priya Sivakumar
Priya Sivakumar
Implementing the Three-Stage Quantum Cryptography Protocol
4 pages, 1 figure
null
null
null
cs.CR
null
We present simple implementations of Kak's three-stage quantum cryptography protocol. The case where the transformation is applied to more than one qubit at the same time is also considered.
[ { "created": "Thu, 16 Mar 2006 22:20:44 GMT", "version": "v1" } ]
2007-05-23
[ [ "Sivakumar", "Priya", "" ] ]
We present simple implementations of Kak's three-stage quantum cryptography protocol. The case where the transformation is applied to more than one qubit at the same time is also considered.
2209.06452
Luigy Alex Machaca Arcana
Luigy Machaca, F. Oliver Sumari H, Jose Huaman, Esteban Clua, Joris Guerin
TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly Detection
6 pages, 4 figures, Accepted on ICMLA 2022
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Person Re-Identification (Re-ID) aims to search for a person of interest (query) in a network of cameras. In the classic Re-ID setting the query is sought in a gallery containing properly cropped images of entire bodies. Recently, the live Re-ID setting was introduced to represent the practical application context of...
[ { "created": "Wed, 14 Sep 2022 07:00:35 GMT", "version": "v1" } ]
2022-09-15
[ [ "Machaca", "Luigy", "" ], [ "H", "F. Oliver Sumari", "" ], [ "Huaman", "Jose", "" ], [ "Clua", "Esteban", "" ], [ "Guerin", "Joris", "" ] ]
Person Re-Identification (Re-ID) aims to search for a person of interest (query) in a network of cameras. In the classic Re-ID setting the query is sought in a gallery containing properly cropped images of entire bodies. Recently, the live Re-ID setting was introduced to represent the practical application context of R...
2105.00328
Marshall Ho
Marshall Ho, Zhipeng Zhou, Judith He
When to Fold'em: How to answer Unanswerable questions
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present 3 different question-answering models trained on the SQuAD2.0 dataset -- BIDAF, DocumentQA and ALBERT Retro-Reader -- demonstrating the improvement of language models in the past three years. Through our research in fine-tuning pre-trained models for question-answering, we developed a novel approach capabl...
[ { "created": "Sat, 1 May 2021 19:08:40 GMT", "version": "v1" } ]
2021-05-04
[ [ "Ho", "Marshall", "" ], [ "Zhou", "Zhipeng", "" ], [ "He", "Judith", "" ] ]
We present 3 different question-answering models trained on the SQuAD2.0 dataset -- BIDAF, DocumentQA and ALBERT Retro-Reader -- demonstrating the improvement of language models in the past three years. Through our research in fine-tuning pre-trained models for question-answering, we developed a novel approach capable ...
2302.07396
Marcelo Magnasco
Marcelo O. Magnasco
Convolutional unitary or orthogonal recurrent neural networks
null
null
null
null
cs.LG cond-mat.stat-mech cs.AI q-bio.NC
http://creativecommons.org/licenses/by/4.0/
Recurrent neural networks are extremely powerful yet hard to train. One of their issues is the vanishing gradient problem, whereby propagation of training signals may be exponentially attenuated, freezing training. Use of orthogonal or unitary matrices, whose powers neither explode nor decay, has been proposed to mit...
[ { "created": "Tue, 14 Feb 2023 23:36:21 GMT", "version": "v1" } ]
2023-02-16
[ [ "Magnasco", "Marcelo O.", "" ] ]
Recurrent neural networks are extremely powerful yet hard to train. One of their issues is the vanishing gradient problem, whereby propagation of training signals may be exponentially attenuated, freezing training. Use of orthogonal or unitary matrices, whose powers neither explode nor decay, has been proposed to mitig...
2006.05203
Travis LaCroix
Travis LaCroix and Aydin Mohseni
The Tragedy of the AI Commons
40 Pages, 5 Figures
null
null
null
cs.CY cs.AI cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Policy and guideline proposals for ethical artificial-intelligence research have proliferated in recent years. These are supposed to guide the socially-responsible development of AI for the common good. However, there typically exist incentives for non-cooperation (i.e., non-adherence to such policies and guidelines)...
[ { "created": "Tue, 9 Jun 2020 12:01:01 GMT", "version": "v1" }, { "created": "Mon, 18 Jan 2021 19:07:13 GMT", "version": "v2" } ]
2021-01-20
[ [ "LaCroix", "Travis", "" ], [ "Mohseni", "Aydin", "" ] ]
Policy and guideline proposals for ethical artificial-intelligence research have proliferated in recent years. These are supposed to guide the socially-responsible development of AI for the common good. However, there typically exist incentives for non-cooperation (i.e., non-adherence to such policies and guidelines); ...
2204.02181
Hyeonbin Hwang
Hyeonbin Hwang, Soyeon Kim, Wei-Jin Park, Jiho Seo, Kyungtae Ko, Hyeon Yeo
Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task
Accepted to IEEE ICASSP 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
When it comes to wild conditions, Facial Expression Recognition is often challenged with low-quality data and imbalanced, ambiguous labels. This field has much benefited from CNN based approaches; however, CNN models have structural limitation to see the facial regions in distant. As a remedy, Transformer has been in...
[ { "created": "Tue, 5 Apr 2022 13:04:04 GMT", "version": "v1" } ]
2022-04-06
[ [ "Hwang", "Hyeonbin", "" ], [ "Kim", "Soyeon", "" ], [ "Park", "Wei-Jin", "" ], [ "Seo", "Jiho", "" ], [ "Ko", "Kyungtae", "" ], [ "Yeo", "Hyeon", "" ] ]
When it comes to wild conditions, Facial Expression Recognition is often challenged with low-quality data and imbalanced, ambiguous labels. This field has much benefited from CNN based approaches; however, CNN models have structural limitation to see the facial regions in distant. As a remedy, Transformer has been intr...
1712.01337
Hsiao-Yu Tung
Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki
Self-supervised Learning of Motion Capture
Neural Information Processing Systems (NIPS) 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current state-of-the-art solutions for motion capture from a single camera are optimization driven: they optimize the parameters of a 3D human model so that its re-projection matches measurements in the video (e.g. person segmentation, optical flow, keypoint detections etc.). Optimization models are susceptible to lo...
[ { "created": "Mon, 4 Dec 2017 20:25:47 GMT", "version": "v1" } ]
2017-12-06
[ [ "Tung", "Hsiao-Yu Fish", "" ], [ "Tung", "Hsiao-Wei", "" ], [ "Yumer", "Ersin", "" ], [ "Fragkiadaki", "Katerina", "" ] ]
Current state-of-the-art solutions for motion capture from a single camera are optimization driven: they optimize the parameters of a 3D human model so that its re-projection matches measurements in the video (e.g. person segmentation, optical flow, keypoint detections etc.). Optimization models are susceptible to loca...
2308.09284
Shaleen Deep
Paraschos Koutris, Shaleen Deep
The Fine-Grained Complexity of CFL Reachability
Appeared in POPL 2023. Please note the erratum on the first page
null
null
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
Many problems in static program analysis can be modeled as the context-free language (CFL) reachability problem on directed labeled graphs. The CFL reachability problem can be generally solved in time $O(n^3)$, where $n$ is the number of vertices in the graph, with some specific cases that can be solved faster. In th...
[ { "created": "Fri, 18 Aug 2023 03:52:27 GMT", "version": "v1" } ]
2023-08-21
[ [ "Koutris", "Paraschos", "" ], [ "Deep", "Shaleen", "" ] ]
Many problems in static program analysis can be modeled as the context-free language (CFL) reachability problem on directed labeled graphs. The CFL reachability problem can be generally solved in time $O(n^3)$, where $n$ is the number of vertices in the graph, with some specific cases that can be solved faster. In this...
2312.14280
Sepideh Koohfar
Sepideh Koohfar and Laura Dietz
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect
10 pages
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time series forecasting is a challenging task due to the existence of complex and dynamic temporal dependencies. This can lead to incorrect predictions by even the best forecasting models. Using more training data is one way to improve the accuracy, but this source is often limited. In contrast, we are building on su...
[ { "created": "Thu, 21 Dec 2023 20:25:16 GMT", "version": "v1" } ]
2023-12-25
[ [ "Koohfar", "Sepideh", "" ], [ "Dietz", "Laura", "" ] ]
Time series forecasting is a challenging task due to the existence of complex and dynamic temporal dependencies. This can lead to incorrect predictions by even the best forecasting models. Using more training data is one way to improve the accuracy, but this source is often limited. In contrast, we are building on succ...
1812.07072
Nathana\"el Fijalkow
Nathana\"el Fijalkow and Pawe{\l} Gawrychowski and Pierre Ohlmann
The complexity of mean payoff games using universal graphs
null
null
null
null
cs.GT cs.FL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the computational complexity of solving mean payoff games. This class of games can be seen as an extension of parity games, and they have similar complexity status: in both cases solving them is in $\textbf{NP} \cap \textbf{coNP}$ and not known to be in $\textbf{P}$. In a breakthrough result Calude, Jain, Kh...
[ { "created": "Mon, 17 Dec 2018 22:13:33 GMT", "version": "v1" }, { "created": "Mon, 4 Feb 2019 19:04:26 GMT", "version": "v2" } ]
2019-02-06
[ [ "Fijalkow", "Nathanaël", "" ], [ "Gawrychowski", "Paweł", "" ], [ "Ohlmann", "Pierre", "" ] ]
We study the computational complexity of solving mean payoff games. This class of games can be seen as an extension of parity games, and they have similar complexity status: in both cases solving them is in $\textbf{NP} \cap \textbf{coNP}$ and not known to be in $\textbf{P}$. In a breakthrough result Calude, Jain, Khou...
1908.00381
Anton Vladzymyrskyy
S.P. Morozov, A.V. Vladzymyrskyy, V.G. Klyashtornyy, A.E. Andreychenko, N.S. Kulberg, V.A. Gombolevsky, K.A. Sergunova
Clinical acceptance of software based on artificial intelligence technologies (radiology)
For correspondence: info@npcmr.ru, npcmr@zdrav.mos.ru. 28/1, Srednyaya Kalitnikovskaya st., Moscow, 109029, Russia +7 (495) 276-04-36
null
null
Preprint No. CDT-2019-1
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aim: provide a methodological framework for the process of clinical tests, clinical acceptance, and scientific assessment of algorithms and software based on the artificial intelligence (AI) technologies. Clinical tests are considered as a preparation stage for the software registration as a medical product. The auth...
[ { "created": "Thu, 1 Aug 2019 13:24:26 GMT", "version": "v1" }, { "created": "Thu, 27 Feb 2020 14:16:03 GMT", "version": "v2" } ]
2020-02-28
[ [ "Morozov", "S. P.", "" ], [ "Vladzymyrskyy", "A. V.", "" ], [ "Klyashtornyy", "V. G.", "" ], [ "Andreychenko", "A. E.", "" ], [ "Kulberg", "N. S.", "" ], [ "Gombolevsky", "V. A.", "" ], [ "Sergunova", "K. A.", ...
Aim: provide a methodological framework for the process of clinical tests, clinical acceptance, and scientific assessment of algorithms and software based on the artificial intelligence (AI) technologies. Clinical tests are considered as a preparation stage for the software registration as a medical product. The author...
2005.03853
Rishi Sonthalia
Rishi Sonthalia, Anna C. Gilbert
Project and Forget: Solving Large-Scale Metric Constrained Problems
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a set of dissimilarity measurements amongst data points, determining what metric representation is most "consistent" with the input measurements or the metric that best captures the relevant geometric features of the data is a key step in many machine learning algorithms. Existing methods are restricted to spec...
[ { "created": "Fri, 8 May 2020 04:50:54 GMT", "version": "v1" }, { "created": "Mon, 26 Sep 2022 21:27:20 GMT", "version": "v2" } ]
2022-09-28
[ [ "Sonthalia", "Rishi", "" ], [ "Gilbert", "Anna C.", "" ] ]
Given a set of dissimilarity measurements amongst data points, determining what metric representation is most "consistent" with the input measurements or the metric that best captures the relevant geometric features of the data is a key step in many machine learning algorithms. Existing methods are restricted to specif...
2206.10607
Jeewon Jeon
Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider cooperative multi-agent reinforcement learning (MARL) with sparse reward. To tackle this problem, we propose a novel method named MASER: MARL with subgoals generated from experience replay buffer. Under the widely-used assumption of centralized training with decentralized execution and cons...
[ { "created": "Mon, 20 Jun 2022 08:12:26 GMT", "version": "v1" } ]
2022-06-23
[ [ "Jeon", "Jeewon", "" ], [ "Kim", "Woojun", "" ], [ "Jung", "Whiyoung", "" ], [ "Sung", "Youngchul", "" ] ]
In this paper, we consider cooperative multi-agent reinforcement learning (MARL) with sparse reward. To tackle this problem, we propose a novel method named MASER: MARL with subgoals generated from experience replay buffer. Under the widely-used assumption of centralized training with decentralized execution and consis...
1802.05998
Tomas Teijeiro
Tom\'as Teijeiro, Constantino A. Garc\'ia, Daniel Castro and Paulo F\'elix
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification
15 pages, 6 figures, 6 tables
Physiological Measurement. 2018 Aug 31;39(8):084006
10.1088/1361-6579/aad7e4
null
cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objective: This work aims at providing a new method for the automatic detection of atrial fibrillation, other arrhythmia and noise on short single lead ECG signals, emphasizing the importance of the interpretability of the classification results. Approach: A morphological and rhythm description of the cardiac behav...
[ { "created": "Fri, 16 Feb 2018 16:06:42 GMT", "version": "v1" } ]
2021-12-09
[ [ "Teijeiro", "Tomás", "" ], [ "García", "Constantino A.", "" ], [ "Castro", "Daniel", "" ], [ "Félix", "Paulo", "" ] ]
Objective: This work aims at providing a new method for the automatic detection of atrial fibrillation, other arrhythmia and noise on short single lead ECG signals, emphasizing the importance of the interpretability of the classification results. Approach: A morphological and rhythm description of the cardiac behavior ...
2012.02024
Michael Heffels
Michael R. Heffels and Joaquin Vanschoren
Aerial Imagery Pixel-level Segmentation
30 pages, 15 figures, 4 tables. Code available through GitHub repo at https://github.com/mrheffels/aerial-imagery-segmentation
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Aerial imagery can be used for important work on a global scale. Nevertheless, the analysis of this data using neural network architectures lags behind the current state-of-the-art on popular datasets such as PASCAL VOC, CityScapes and Camvid. In this paper we bridge the performance-gap between these popular datasets...
[ { "created": "Thu, 3 Dec 2020 16:09:09 GMT", "version": "v1" } ]
2020-12-04
[ [ "Heffels", "Michael R.", "" ], [ "Vanschoren", "Joaquin", "" ] ]
Aerial imagery can be used for important work on a global scale. Nevertheless, the analysis of this data using neural network architectures lags behind the current state-of-the-art on popular datasets such as PASCAL VOC, CityScapes and Camvid. In this paper we bridge the performance-gap between these popular datasets a...
2104.08404
Junghoon Kim
Junghoon Kim and Bruno Clerckx
Wireless Information and Power Transfer for IoT: Pulse Position Modulation, Integrated Receiver, and Experimental Validation
submitted for publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simultaneous wireless information and power transfer (SWIPT) has emerged as a viable technique to energize and connect low-power autonomous devices and enable future Internet of Things (IoT). A major challenge of SWIPT is the energy consumption of the receiver of such low-power devices. An attractive low-power soluti...
[ { "created": "Fri, 16 Apr 2021 23:25:51 GMT", "version": "v1" } ]
2021-04-20
[ [ "Kim", "Junghoon", "" ], [ "Clerckx", "Bruno", "" ] ]
Simultaneous wireless information and power transfer (SWIPT) has emerged as a viable technique to energize and connect low-power autonomous devices and enable future Internet of Things (IoT). A major challenge of SWIPT is the energy consumption of the receiver of such low-power devices. An attractive low-power solution...
2204.03341
Tung Kieu
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version
This paper has been accepted by IEEE ICDE 2022
null
null
null
cs.LG cs.DB
http://creativecommons.org/licenses/by-nc-sa/4.0/
Time series data occurs widely, and outlier detection is a fundamental problem in data mining, which has numerous applications. Existing autoencoder-based approaches deliver state-of-the-art performance on challenging real-world data but are vulnerable to outliers and exhibit low explainability. To address these two ...
[ { "created": "Thu, 7 Apr 2022 10:24:12 GMT", "version": "v1" } ]
2022-04-08
[ [ "Kieu", "Tung", "" ], [ "Yang", "Bin", "" ], [ "Guo", "Chenjuan", "" ], [ "Jensen", "Christian S.", "" ], [ "Zhao", "Yan", "" ], [ "Huang", "Feiteng", "" ], [ "Zheng", "Kai", "" ] ]
Time series data occurs widely, and outlier detection is a fundamental problem in data mining, which has numerous applications. Existing autoencoder-based approaches deliver state-of-the-art performance on challenging real-world data but are vulnerable to outliers and exhibit low explainability. To address these two li...
1701.04626
Simone Bova
Simone Bova and Stefan Szeider
Circuit Treewidth, Sentential Decision, and Query Compilation
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The evaluation of a query over a probabilistic database boils down to computing the probability of a suitable Boolean function, the lineage of the query over the database. The method of query compilation approaches the task in two stages: first, the query lineage is implemented (compiled) in a circuit form where prob...
[ { "created": "Tue, 17 Jan 2017 11:34:07 GMT", "version": "v1" } ]
2017-01-18
[ [ "Bova", "Simone", "" ], [ "Szeider", "Stefan", "" ] ]
The evaluation of a query over a probabilistic database boils down to computing the probability of a suitable Boolean function, the lineage of the query over the database. The method of query compilation approaches the task in two stages: first, the query lineage is implemented (compiled) in a circuit form where probab...
1611.04144
Xuanpeng Li
Xuanpeng Li and Rachid Belaroussi
Semi-Dense 3D Semantic Mapping from Monocular SLAM
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The bundle of geometry and appearance in computer vision has proven to be a promising solution for robots across a wide variety of applications. Stereo cameras and RGB-D sensors are widely used to realise fast 3D reconstruction and trajectory tracking in a dense way. However, they lack flexibility of seamless switch ...
[ { "created": "Sun, 13 Nov 2016 15:31:31 GMT", "version": "v1" } ]
2016-11-15
[ [ "Li", "Xuanpeng", "" ], [ "Belaroussi", "Rachid", "" ] ]
The bundle of geometry and appearance in computer vision has proven to be a promising solution for robots across a wide variety of applications. Stereo cameras and RGB-D sensors are widely used to realise fast 3D reconstruction and trajectory tracking in a dense way. However, they lack flexibility of seamless switch be...
2211.17107
Ruturaj Ghatage
Sharvi Endait, Ruturaj Ghatage, Prof. DD Kadam
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this modern era of technology with e-commerce developing at a rapid pace, it is very important to understand customer requirements and details from a business conversation. It is very crucial for customer retention and satisfaction. Extracting key insights from these conversations is very important when it comes t...
[ { "created": "Mon, 28 Nov 2022 06:41:29 GMT", "version": "v1" } ]
2022-12-01
[ [ "Endait", "Sharvi", "" ], [ "Ghatage", "Ruturaj", "" ], [ "Kadam", "Prof. DD", "" ] ]
In this modern era of technology with e-commerce developing at a rapid pace, it is very important to understand customer requirements and details from a business conversation. It is very crucial for customer retention and satisfaction. Extracting key insights from these conversations is very important when it comes to ...
2405.02583
Xiangqi Kong
Xiangqi Kong, Yang Xing, Antonios Tsourdos, Ziyue Wang, Weisi Guo, Adolfo Perrusquia, Andreas Wikander
Explainable Interface for Human-Autonomy Teaming: A Survey
45 pages, 9 figures
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Nowadays, large-scale foundation models are being increasingly integrated into numerous safety-critical applications, including human-autonomy teaming (HAT) within transportation, medical, and defence domains. Consequently, the inherent 'black-box' nature of these sophisticated deep neural networks heightens the sign...
[ { "created": "Sat, 4 May 2024 06:35:38 GMT", "version": "v1" } ]
2024-05-07
[ [ "Kong", "Xiangqi", "" ], [ "Xing", "Yang", "" ], [ "Tsourdos", "Antonios", "" ], [ "Wang", "Ziyue", "" ], [ "Guo", "Weisi", "" ], [ "Perrusquia", "Adolfo", "" ], [ "Wikander", "Andreas", "" ] ]
Nowadays, large-scale foundation models are being increasingly integrated into numerous safety-critical applications, including human-autonomy teaming (HAT) within transportation, medical, and defence domains. Consequently, the inherent 'black-box' nature of these sophisticated deep neural networks heightens the signif...
1007.0571
Vikram Krishnamurthy
Vikram Krishnamurthy
Quickest Detection with Social Learning: Interaction of local and global decision makers
null
null
null
null
cs.GT cs.IT math.IT stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider how local and global decision policies interact in stopping time problems such as quickest time change detection. Individual agents make myopic local decisions via social learning, that is, each agent records a private observation of a noisy underlying state process, selfishly optimizes its local utility ...
[ { "created": "Sun, 4 Jul 2010 17:06:38 GMT", "version": "v1" }, { "created": "Tue, 30 Aug 2011 09:01:38 GMT", "version": "v2" }, { "created": "Fri, 2 Mar 2012 18:55:34 GMT", "version": "v3" } ]
2012-03-05
[ [ "Krishnamurthy", "Vikram", "" ] ]
We consider how local and global decision policies interact in stopping time problems such as quickest time change detection. Individual agents make myopic local decisions via social learning, that is, each agent records a private observation of a noisy underlying state process, selfishly optimizes its local utility an...
2408.07272
Junxuan Li
Junxuan Li, Ryan Wickman, Sahil Bhatnagar, Raj Kumar Maity, Arko Mukherjee
NL2OR: Solve Complex Operations Research Problems Using Natural Language Inputs
null
null
null
null
cs.AI cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Operations research (OR) uses mathematical models to enhance decision-making, but developing these models requires expert knowledge and can be time-consuming. Automated mathematical programming (AMP) has emerged to simplify this process, but existing systems have limitations. This paper introduces a novel methodology...
[ { "created": "Wed, 14 Aug 2024 03:42:53 GMT", "version": "v1" } ]
2024-08-15
[ [ "Li", "Junxuan", "" ], [ "Wickman", "Ryan", "" ], [ "Bhatnagar", "Sahil", "" ], [ "Maity", "Raj Kumar", "" ], [ "Mukherjee", "Arko", "" ] ]
Operations research (OR) uses mathematical models to enhance decision-making, but developing these models requires expert knowledge and can be time-consuming. Automated mathematical programming (AMP) has emerged to simplify this process, but existing systems have limitations. This paper introduces a novel methodology t...
2112.01098
Surabhi Gupta
Surabhi Gupta, Ashwath Shetty, Avinash Sharma
Attention based Occlusion Removal for Hybrid Telepresence Systems
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Traditionally, video conferencing is a widely adopted solution for telecommunication, but a lack of immersiveness comes inherently due to the 2D nature of facial representation. The integration of Virtual Reality (VR) in a communication/telepresence system through Head Mounted Displays (HMDs) promises to provide user...
[ { "created": "Thu, 2 Dec 2021 10:18:22 GMT", "version": "v1" } ]
2021-12-03
[ [ "Gupta", "Surabhi", "" ], [ "Shetty", "Ashwath", "" ], [ "Sharma", "Avinash", "" ] ]
Traditionally, video conferencing is a widely adopted solution for telecommunication, but a lack of immersiveness comes inherently due to the 2D nature of facial representation. The integration of Virtual Reality (VR) in a communication/telepresence system through Head Mounted Displays (HMDs) promises to provide users ...
2109.00301
Pedro Henrique Martins
Pedro Henrique Martins and Zita Marinho and Andr\'e F. T. Martins
$\infty$-former: Infinite Memory Transformer
ACL 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformers are unable to model long-term memories effectively, since the amount of computation they need to perform grows with the context length. While variations of efficient transformers have been proposed, they all have a finite memory capacity and are forced to drop old information. In this paper, we propose t...
[ { "created": "Wed, 1 Sep 2021 10:51:58 GMT", "version": "v1" }, { "created": "Wed, 15 Sep 2021 10:12:03 GMT", "version": "v2" }, { "created": "Fri, 25 Mar 2022 10:37:54 GMT", "version": "v3" } ]
2022-03-28
[ [ "Martins", "Pedro Henrique", "" ], [ "Marinho", "Zita", "" ], [ "Martins", "André F. T.", "" ] ]
Transformers are unable to model long-term memories effectively, since the amount of computation they need to perform grows with the context length. While variations of efficient transformers have been proposed, they all have a finite memory capacity and are forced to drop old information. In this paper, we propose the...
2402.01079
David OBrien
David OBrien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan
Data-Driven Evidence-Based Syntactic Sugar Design
12 pages, 12 figures, to be published in ICSE'24
null
10.1145/3597503.3639580
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Programming languages are essential tools for developers, and their evolution plays a crucial role in supporting the activities of developers. One instance of programming language evolution is the introduction of syntactic sugars, which are additional syntax elements that provide alternative, more readable code const...
[ { "created": "Fri, 2 Feb 2024 00:35:14 GMT", "version": "v1" } ]
2024-02-05
[ [ "OBrien", "David", "" ], [ "Dyer", "Robert", "" ], [ "Nguyen", "Tien N.", "" ], [ "Rajan", "Hridesh", "" ] ]
Programming languages are essential tools for developers, and their evolution plays a crucial role in supporting the activities of developers. One instance of programming language evolution is the introduction of syntactic sugars, which are additional syntax elements that provide alternative, more readable code constru...
2106.08389
Anne Collin
Anne Collin, Amitai Y. Bin-Nun, Radboud Duintjer Tebbens
Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization
8 pages, 8 figures. Accepted for publication at the 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
As autonomous vehicles (AVs) take on growing Operational Design Domains (ODDs), they need to go through a systematic, transparent, and scalable evaluation process to demonstrate their benefits to society. Current scenario sampling techniques for AV performance evaluation usually focus on a specific functionality, suc...
[ { "created": "Tue, 15 Jun 2021 19:35:30 GMT", "version": "v1" } ]
2021-06-17
[ [ "Collin", "Anne", "" ], [ "Bin-Nun", "Amitai Y.", "" ], [ "Tebbens", "Radboud Duintjer", "" ] ]
As autonomous vehicles (AVs) take on growing Operational Design Domains (ODDs), they need to go through a systematic, transparent, and scalable evaluation process to demonstrate their benefits to society. Current scenario sampling techniques for AV performance evaluation usually focus on a specific functionality, such ...
1812.03556
Kamran Keykhosravi
Kamran Keykhosravi, Marco Secondini, Giuseppe Durisi and Erik Agrell
How to Increase the Achievable Information Rate by Per-Channel Dispersion Compensation
null
IEEE/OSA Journal of Lightwave Technology, vol. 37, no. 10, pp. 2443-2451, May 2019
10.1109/JLT.2019.2907311
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deploying periodic inline chromatic dispersion compensation enables reducing the complexity of the digital back propagation (DBP) algorithm. However, compared with nondispersion-managed (NDM) links, dispersion-managed (DM) ones suffer a stronger cross-phase modulation (XPM). Utilizing per-channel dispersion-managed (...
[ { "created": "Sun, 9 Dec 2018 20:50:52 GMT", "version": "v1" } ]
2024-01-25
[ [ "Keykhosravi", "Kamran", "" ], [ "Secondini", "Marco", "" ], [ "Durisi", "Giuseppe", "" ], [ "Agrell", "Erik", "" ] ]
Deploying periodic inline chromatic dispersion compensation enables reducing the complexity of the digital back propagation (DBP) algorithm. However, compared with nondispersion-managed (NDM) links, dispersion-managed (DM) ones suffer a stronger cross-phase modulation (XPM). Utilizing per-channel dispersion-managed (CD...
1210.6241
Mael Le Treust
Ma\"el Le Treust, Samson Lasaulce
Transforming Monitoring Structures with Resilient Encoders. Application to Repeated Games
Springer, Dynamic Games and Applications, 2012
null
10.1007/s13235-012-0058-3
null
cs.IT cs.GT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An important feature of a dynamic game is its monitoring structure namely, what the players effectively see from the played actions. We consider games with arbitrary monitoring structures. One of the purposes of this paper is to know to what extent an encoder, who perfectly observes the played actions and sends a com...
[ { "created": "Tue, 23 Oct 2012 14:14:17 GMT", "version": "v1" } ]
2012-10-24
[ [ "Treust", "Maël Le", "" ], [ "Lasaulce", "Samson", "" ] ]
An important feature of a dynamic game is its monitoring structure namely, what the players effectively see from the played actions. We consider games with arbitrary monitoring structures. One of the purposes of this paper is to know to what extent an encoder, who perfectly observes the played actions and sends a compl...
1104.3497
Shih-Chun Lin
Pin-Hsun Lin, Shih-Chun Lin, Hsuan-Jung Su, and Y.-W. Peter Hong
Clean relaying aided cognitive radio under the coexistence constraint
30 pages
null
10.1109/TWC.2012.092712.120005
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the interference-mitigation based cognitive radio where the primary and secondary users can coexist at the same time and frequency bands, under the constraint that the rate of the primary user (PU) must remain the same with a single-user decoder. To meet such a coexistence constraint, the relaying from th...
[ { "created": "Mon, 18 Apr 2011 14:33:58 GMT", "version": "v1" } ]
2012-12-24
[ [ "Lin", "Pin-Hsun", "" ], [ "Lin", "Shih-Chun", "" ], [ "Su", "Hsuan-Jung", "" ], [ "Hong", "Y. -W. Peter", "" ] ]
We consider the interference-mitigation based cognitive radio where the primary and secondary users can coexist at the same time and frequency bands, under the constraint that the rate of the primary user (PU) must remain the same with a single-user decoder. To meet such a coexistence constraint, the relaying from the ...
2104.11693
Yiming Zhao
Yiming Zhao, Xinming Huang and Ziming Zhang
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Accepted by CVPR2021, codelink: https://github.com/placeforyiming/CVPR21-Deep-Lucas-Kanade-Homography
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimating homography to align image pairs captured by different sensors or image pairs with large appearance changes is an important and general challenge for many computer vision applications. In contrast to others, we propose a generic solution to pixel-wise align multimodal image pairs by extending the traditiona...
[ { "created": "Thu, 22 Apr 2021 04:11:29 GMT", "version": "v1" } ]
2021-04-26
[ [ "Zhao", "Yiming", "" ], [ "Huang", "Xinming", "" ], [ "Zhang", "Ziming", "" ] ]
Estimating homography to align image pairs captured by different sensors or image pairs with large appearance changes is an important and general challenge for many computer vision applications. In contrast to others, we propose a generic solution to pixel-wise align multimodal image pairs by extending the traditional ...
1907.10709
Giulio Siracusano Dr.
Giulio Siracusano, Francesca Garesc\`i, Giovanni Finocchio, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Mario Carpentieri, Massimo Chiappini and Aurelio La Corte
Automatic crack classification by exploiting statistical event descriptors for Deep Learning
19 pages, 2 tables, 9 figures
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of big data from low-cost sensors with communication capabilities and advanced modeling tools such as Deep Learning. The main purpose of this ...
[ { "created": "Wed, 24 Jul 2019 20:39:49 GMT", "version": "v1" }, { "created": "Fri, 26 Nov 2021 17:01:13 GMT", "version": "v2" } ]
2021-11-29
[ [ "Siracusano", "Giulio", "" ], [ "Garescì", "Francesca", "" ], [ "Finocchio", "Giovanni", "" ], [ "Tomasello", "Riccardo", "" ], [ "Lamonaca", "Francesco", "" ], [ "Scuro", "Carmelo", "" ], [ "Carpentieri", "Mar...
In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of big data from low-cost sensors with communication capabilities and advanced modeling tools such as Deep Learning. The main purpose of this pa...
2112.14192
Xudong Li
Xudong Li, Ye Fan, Rugui Yao, Peng Wang, Nan Qi, Xiaoya Zuo
Robust Security Analysis Based on Random Geometry Theory for Satellite-Terrestrial-Vehicle Network
The theoretical analysis in the original manuscript is insufficient, and the system model is not convincing. With the consideration of these flaws, we decide to withdraw our work for further improvement
null
null
null
cs.IT cs.CL math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by B5G and 6G technologies, multi-network fusion is an indispensable tendency for future communications. In this paper, we focus on and analyze the \emph{security performance} (SP) of the \emph{satellite-terrestrial downlink transmission} (STDT). Here, the STDT is composed of a satellite network and a vehicula...
[ { "created": "Tue, 28 Dec 2021 15:46:28 GMT", "version": "v1" }, { "created": "Thu, 14 Jul 2022 09:44:03 GMT", "version": "v2" } ]
2022-07-15
[ [ "Li", "Xudong", "" ], [ "Fan", "Ye", "" ], [ "Yao", "Rugui", "" ], [ "Wang", "Peng", "" ], [ "Qi", "Nan", "" ], [ "Zuo", "Xiaoya", "" ] ]
Driven by B5G and 6G technologies, multi-network fusion is an indispensable tendency for future communications. In this paper, we focus on and analyze the \emph{security performance} (SP) of the \emph{satellite-terrestrial downlink transmission} (STDT). Here, the STDT is composed of a satellite network and a vehicular ...
1810.12272
Dimitrios Diochnos
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Full version of a work with the same title that will appear in NIPS 2018, 31 pages containing 5 figures, 1 table, 2 algorithms
null
null
null
cs.LG cs.CC cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study adversarial perturbations when the instances are uniformly distributed over $\{0,1\}^n$. We study both "inherent" bounds that apply to any problem and any classifier for such a problem as well as bounds that apply to specific problems and specific hypothesis classes. As the current literature contains mult...
[ { "created": "Mon, 29 Oct 2018 17:41:29 GMT", "version": "v1" } ]
2018-10-30
[ [ "Diochnos", "Dimitrios I.", "" ], [ "Mahloujifar", "Saeed", "" ], [ "Mahmoody", "Mohammad", "" ] ]
We study adversarial perturbations when the instances are uniformly distributed over $\{0,1\}^n$. We study both "inherent" bounds that apply to any problem and any classifier for such a problem as well as bounds that apply to specific problems and specific hypothesis classes. As the current literature contains multiple...
1906.09934
Ioannis Chatzigiannakis
Chrysanthi Tziortzioti, Irene Mavrommati, Georgios Mylonas, Andrea Vitaletti, Ioannis Chatzigiannakis
Scenarios for Educational and Game Activities using Internet of Things Data
14 pages, 5 figures. arXiv admin note: text overlap with arXiv:1805.09561
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by/4.0/
Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires informing the population on their roles in mitigation actions and adaptation of sustainable behavior...
[ { "created": "Thu, 20 Jun 2019 18:26:12 GMT", "version": "v1" } ]
2019-06-25
[ [ "Tziortzioti", "Chrysanthi", "" ], [ "Mavrommati", "Irene", "" ], [ "Mylonas", "Georgios", "" ], [ "Vitaletti", "Andrea", "" ], [ "Chatzigiannakis", "Ioannis", "" ] ]
Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires informing the population on their roles in mitigation actions and adaptation of sustainable behaviors....
0804.2155
Joseph Y. Halpern
Joseph Y. Halpern
From Qualitative to Quantitative Proofs of Security Properties Using First-Order Conditional Logic
null
null
null
null
cs.CR cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A first-order conditional logic is considered, with semantics given by a variant of epsilon-semantics, where p -> q means that Pr(q | p) approaches 1 super-polynomially --faster than any inverse polynomial. This type of convergence is needed for reasoning about security protocols. A complete axiomatization is provide...
[ { "created": "Mon, 14 Apr 2008 12:06:04 GMT", "version": "v1" } ]
2008-12-18
[ [ "Halpern", "Joseph Y.", "" ] ]
A first-order conditional logic is considered, with semantics given by a variant of epsilon-semantics, where p -> q means that Pr(q | p) approaches 1 super-polynomially --faster than any inverse polynomial. This type of convergence is needed for reasoning about security protocols. A complete axiomatization is provided ...
1911.11534
Siyan Dong
Siyan Dong, Songyin Wu, Yixin Zhuang, Kai Xu, Shanghang Zhang, Baoquan Chen
Decoupling Features and Coordinates for Few-shot RGB Relocalization
This is a very early initialization of a research project and contains some out-of-date results and errors. A later version with significant improvements has been published as a new paper. See arXiv:2208.06933
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-scene model adaption is crucial for camera relocalization in real scenarios. It is often preferable that a pre-learned model can be fast adapted to a novel scene with as few training samples as possible. The existing state-of-the-art approaches, however, can hardly support such few-shot scene adaption due to th...
[ { "created": "Tue, 26 Nov 2019 13:57:39 GMT", "version": "v1" }, { "created": "Sat, 1 Aug 2020 17:49:36 GMT", "version": "v2" }, { "created": "Tue, 4 Aug 2020 10:29:36 GMT", "version": "v3" }, { "created": "Tue, 16 Aug 2022 15:40:00 GMT", "version": "v4" } ]
2022-08-17
[ [ "Dong", "Siyan", "" ], [ "Wu", "Songyin", "" ], [ "Zhuang", "Yixin", "" ], [ "Xu", "Kai", "" ], [ "Zhang", "Shanghang", "" ], [ "Chen", "Baoquan", "" ] ]
Cross-scene model adaption is crucial for camera relocalization in real scenarios. It is often preferable that a pre-learned model can be fast adapted to a novel scene with as few training samples as possible. The existing state-of-the-art approaches, however, can hardly support such few-shot scene adaption due to the ...
2010.13986
Zhuqi Li
Zhuqi Li, Can Wu, Sigurd Wagner, James C. Sturm, Naveen Verma, Kyle Jamieson
REITS: Reflective Surface for Intelligent Transportation Systems
null
null
10.1145/3446382.3448650
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous vehicles are predicted to dominate the transportation industry in the foreseeable future. Safety is one of the major challenges to the early deployment of self-driving systems. To ensure safety, self-driving vehicles must sense and detect humans, other vehicles, and road infrastructure accurately, robustly...
[ { "created": "Tue, 27 Oct 2020 01:45:09 GMT", "version": "v1" }, { "created": "Mon, 16 Nov 2020 15:57:35 GMT", "version": "v2" }, { "created": "Tue, 2 Feb 2021 16:25:12 GMT", "version": "v3" } ]
2021-02-03
[ [ "Li", "Zhuqi", "" ], [ "Wu", "Can", "" ], [ "Wagner", "Sigurd", "" ], [ "Sturm", "James C.", "" ], [ "Verma", "Naveen", "" ], [ "Jamieson", "Kyle", "" ] ]
Autonomous vehicles are predicted to dominate the transportation industry in the foreseeable future. Safety is one of the major challenges to the early deployment of self-driving systems. To ensure safety, self-driving vehicles must sense and detect humans, other vehicles, and road infrastructure accurately, robustly, ...
1812.02428
Sai Sri Sathya
Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra and Santanu Bhattacharya
A Review of Homomorphic Encryption Libraries for Secure Computation
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we provide a survey of various libraries for homomorphic encryption. We describe key features and trade-offs that should be considered while choosing the right approach for secure computation. We then present a comparison of six commonly available Homomorphic Encryption libraries - SEAL, HElib, TFHE, Pa...
[ { "created": "Thu, 6 Dec 2018 09:55:24 GMT", "version": "v1" }, { "created": "Fri, 7 Dec 2018 06:06:35 GMT", "version": "v2" } ]
2018-12-10
[ [ "Sathya", "Sai Sri", "" ], [ "Vepakomma", "Praneeth", "" ], [ "Raskar", "Ramesh", "" ], [ "Ramachandra", "Ranjan", "" ], [ "Bhattacharya", "Santanu", "" ] ]
In this paper we provide a survey of various libraries for homomorphic encryption. We describe key features and trade-offs that should be considered while choosing the right approach for secure computation. We then present a comparison of six commonly available Homomorphic Encryption libraries - SEAL, HElib, TFHE, Pail...
2406.17636
Alexander Gambashidze
Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya Makarov
Aligning Diffusion Models with Noise-Conditioned Perception
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent advancements in human preference optimization, initially developed for Language Models (LMs), have shown promise for text-to-image Diffusion Models, enhancing prompt alignment, visual appeal, and user preference. Unlike LMs, Diffusion Models typically optimize in pixel or VAE space, which does not align well w...
[ { "created": "Tue, 25 Jun 2024 15:21:50 GMT", "version": "v1" } ]
2024-06-26
[ [ "Gambashidze", "Alexander", "" ], [ "Kulikov", "Anton", "" ], [ "Sosnin", "Yuriy", "" ], [ "Makarov", "Ilya", "" ] ]
Recent advancements in human preference optimization, initially developed for Language Models (LMs), have shown promise for text-to-image Diffusion Models, enhancing prompt alignment, visual appeal, and user preference. Unlike LMs, Diffusion Models typically optimize in pixel or VAE space, which does not align well wit...
2103.11874
Zemin Sun
Zemin Sun, Yanheng Liu, Jian Wang, Guofa Li, Carie Anil, Keqiang Li, Xinyu Guo, Geng Sun, Daxin Tian, Dongpu Cao
Applications of Game Theory in Vehicular Networks: A Survey
It has been published on "IEEE communications surveys and tutorials" (https://ieeexplore.ieee.org/document/9524815)
IEEE Communications Surveys & Tutorials, vol. 23, no. 4, pp. 2660-2710, Fourthquarter 2021
10.1109/COMST.2021.3108466
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that provide efficient and secure traffic and ubiquitous access to various applications. However, as the number of nodes in ITS increases, it is ...
[ { "created": "Mon, 22 Mar 2021 14:09:33 GMT", "version": "v1" }, { "created": "Wed, 5 Jan 2022 13:22:20 GMT", "version": "v2" } ]
2022-01-06
[ [ "Sun", "Zemin", "" ], [ "Liu", "Yanheng", "" ], [ "Wang", "Jian", "" ], [ "Li", "Guofa", "" ], [ "Anil", "Carie", "" ], [ "Li", "Keqiang", "" ], [ "Guo", "Xinyu", "" ], [ "Sun", "Geng", "" ...
In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that provide efficient and secure traffic and ubiquitous access to various applications. However, as the number of nodes in ITS increases, it is ch...
1701.08547
Robert Lim
Robert V. Lim, Boyana Norris, Allen D. Malony
Autotuning GPU Kernels via Static and Predictive Analysis
null
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimizing the performance of GPU kernels is challenging for both human programmers and code generators. For example, CUDA programmers must set thread and block parameters for a kernel, but might not have the intuition to make a good choice. Similarly, compilers can generate working code, but may miss tuning opportun...
[ { "created": "Mon, 30 Jan 2017 11:23:42 GMT", "version": "v1" }, { "created": "Thu, 11 May 2017 22:27:32 GMT", "version": "v2" }, { "created": "Thu, 29 Jun 2017 11:25:02 GMT", "version": "v3" } ]
2017-06-30
[ [ "Lim", "Robert V.", "" ], [ "Norris", "Boyana", "" ], [ "Malony", "Allen D.", "" ] ]
Optimizing the performance of GPU kernels is challenging for both human programmers and code generators. For example, CUDA programmers must set thread and block parameters for a kernel, but might not have the intuition to make a good choice. Similarly, compilers can generate working code, but may miss tuning opportunit...
2010.12176
Yuxi Li
Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
13 pages, 10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we address several inadequacies of current video object segmentation pipelines. Firstly, a cyclic mechanism is incorporated to the standard semi-supervised process to produce more robust representations. By relying on the accurate reference mask in the starting frame, we show that the error propagation...
[ { "created": "Fri, 23 Oct 2020 05:40:53 GMT", "version": "v1" } ]
2020-10-26
[ [ "Li", "Yuxi", "" ], [ "Xu", "Ning", "" ], [ "Peng", "Jinlong", "" ], [ "See", "John", "" ], [ "Lin", "Weiyao", "" ] ]
In this paper, we address several inadequacies of current video object segmentation pipelines. Firstly, a cyclic mechanism is incorporated to the standard semi-supervised process to produce more robust representations. By relying on the accurate reference mask in the starting frame, we show that the error propagation p...
1903.07840
John Skinner
John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko S\"underhauf
The Probabilistic Object Detection Challenge
4 pages, workshop paper
null
null
null
cs.RO cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a new challenge for computer and robotic vision, the first ACRV Robotic Vision Challenge, Probabilistic Object Detection. Probabilistic object detection is a new variation on traditional object detection tasks, requiring estimates of spatial and semantic uncertainty. We extend the traditional bounding bo...
[ { "created": "Tue, 19 Mar 2019 05:18:52 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2019 00:58:24 GMT", "version": "v2" } ]
2019-04-09
[ [ "Skinner", "John", "" ], [ "Hall", "David", "" ], [ "Zhang", "Haoyang", "" ], [ "Dayoub", "Feras", "" ], [ "Sünderhauf", "Niko", "" ] ]
We introduce a new challenge for computer and robotic vision, the first ACRV Robotic Vision Challenge, Probabilistic Object Detection. Probabilistic object detection is a new variation on traditional object detection tasks, requiring estimates of spatial and semantic uncertainty. We extend the traditional bounding box ...
1808.04510
Kanstantsin Pashkovich
Robert Chiang and Kanstantsin Pashkovich
On the approximability of the stable matching problem with ties of size two
Added a detailed comparison with the approaches from the papers "On the approximability of the stable marriage problem with one-sided ties." by Bauckholt, Pashkovich, and Sanita and "Improved approximation algorithms for two variants of the stable marriage problem with ties." by Huang and Kavitha. (See Appendix...
null
null
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The stable matching problem is one of the central problems of algorithmic game theory. If participants are allowed to have ties, the problem of finding a stable matching of maximum cardinality is an NP-hard problem, even when the ties are of size two. Moreover, in this setting it is UGC-hard to provide an approximati...
[ { "created": "Tue, 14 Aug 2018 02:47:05 GMT", "version": "v1" }, { "created": "Fri, 15 Feb 2019 21:59:31 GMT", "version": "v2" } ]
2019-02-19
[ [ "Chiang", "Robert", "" ], [ "Pashkovich", "Kanstantsin", "" ] ]
The stable matching problem is one of the central problems of algorithmic game theory. If participants are allowed to have ties, the problem of finding a stable matching of maximum cardinality is an NP-hard problem, even when the ties are of size two. Moreover, in this setting it is UGC-hard to provide an approximation...
1603.00977
EPTCS
Mahdi Amani (Universit\`a di Pisa, Pisa, Italy), Abbas Nowzari-Dalini (UT, Tehran, Iran)
Generation, Ranking and Unranking of Ordered Trees with Degree Bounds
In Proceedings DCM 2015, arXiv:1603.00536
EPTCS 204, 2016, pp. 31-45
10.4204/EPTCS.204.4
null
cs.CC cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of generating, ranking and unranking of unlabeled ordered trees whose nodes have maximum degree of $\Delta$. This class of trees represents a generalization of chemical trees. A chemical tree is an unlabeled tree in which no node has degree greater than 4. By allowing up to $\Delta$ children for ...
[ { "created": "Thu, 3 Mar 2016 05:33:50 GMT", "version": "v1" } ]
2016-08-22
[ [ "Amani", "Mahdi", "", "Università di Pisa, Pisa, Italy" ], [ "Nowzari-Dalini", "Abbas", "", "UT, Tehran, Iran" ] ]
We study the problem of generating, ranking and unranking of unlabeled ordered trees whose nodes have maximum degree of $\Delta$. This class of trees represents a generalization of chemical trees. A chemical tree is an unlabeled tree in which no node has degree greater than 4. By allowing up to $\Delta$ children for ea...
2005.14253
Nicholas FitzGerald
Thibault F\'evry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
11 pages, 8 figures, appearing at AKBC 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present an entity linking model which combines a Transformer architecture with large scale pretraining from Wikipedia links. Our model achieves the state-of-the-art on two commonly used entity linking datasets: 96.7% on CoNLL and 94.9% on TAC-KBP. We present detailed analyses to understand what desig...
[ { "created": "Thu, 28 May 2020 19:32:52 GMT", "version": "v1" } ]
2020-06-01
[ [ "Févry", "Thibault", "" ], [ "FitzGerald", "Nicholas", "" ], [ "Soares", "Livio Baldini", "" ], [ "Kwiatkowski", "Tom", "" ] ]
In this work, we present an entity linking model which combines a Transformer architecture with large scale pretraining from Wikipedia links. Our model achieves the state-of-the-art on two commonly used entity linking datasets: 96.7% on CoNLL and 94.9% on TAC-KBP. We present detailed analyses to understand what design ...
2406.12746
Miaoyu Li
Miaoyu Li, Haoxin Li, Zilin Du, and Boyang Li
Rationale-based Ensemble of Multiple QA Strategies for Zero-shot Knowledge-based VQA
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge-based Visual Qustion-answering (K-VQA) necessitates the use of background knowledge beyond what is depicted in the image. Current zero-shot K-VQA methods usually translate an image to a single type of textual decision context and use a text-based model to answer the question based on it, which conflicts wit...
[ { "created": "Tue, 18 Jun 2024 16:06:38 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2024 02:02:13 GMT", "version": "v2" }, { "created": "Sun, 23 Jun 2024 03:06:42 GMT", "version": "v3" } ]
2024-06-25
[ [ "Li", "Miaoyu", "" ], [ "Li", "Haoxin", "" ], [ "Du", "Zilin", "" ], [ "Li", "Boyang", "" ] ]
Knowledge-based Visual Qustion-answering (K-VQA) necessitates the use of background knowledge beyond what is depicted in the image. Current zero-shot K-VQA methods usually translate an image to a single type of textual decision context and use a text-based model to answer the question based on it, which conflicts with ...
1412.8501
Eli A. Meirom
Eli A. Meirom, Shie Mannor, Ariel Orda
Formation Games of Reliable Networks
null
null
null
null
cs.GT cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We establish a network formation game for the Internet's Autonomous System (AS) interconnection topology. The game includes different types of players, accounting for the heterogeneity of ASs in the Internet. We incorporate reliability considerations in the player's utility function, and analyze static properties of ...
[ { "created": "Mon, 29 Dec 2014 22:38:53 GMT", "version": "v1" } ]
2014-12-31
[ [ "Meirom", "Eli A.", "" ], [ "Mannor", "Shie", "" ], [ "Orda", "Ariel", "" ] ]
We establish a network formation game for the Internet's Autonomous System (AS) interconnection topology. The game includes different types of players, accounting for the heterogeneity of ASs in the Internet. We incorporate reliability considerations in the player's utility function, and analyze static properties of th...
1410.4207
Claudio Criscione
Enrico Bazzoli, Claudio Criscione, Federico Maggi, Stefano Zanero
XSS Peeker: A Systematic Analysis of Cross-site Scripting Vulnerability Scanners
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the first publication of the "OWASP Top 10" (2004), cross-site scripting (XSS) vulnerabilities have always been among the top 5 web application security bugs. Black-box vulnerability scanners are widely used in the industry to reproduce (XSS) attacks automatically. In spite of the technical sophistication and a...
[ { "created": "Wed, 15 Oct 2014 20:03:07 GMT", "version": "v1" } ]
2014-10-17
[ [ "Bazzoli", "Enrico", "" ], [ "Criscione", "Claudio", "" ], [ "Maggi", "Federico", "" ], [ "Zanero", "Stefano", "" ] ]
Since the first publication of the "OWASP Top 10" (2004), cross-site scripting (XSS) vulnerabilities have always been among the top 5 web application security bugs. Black-box vulnerability scanners are widely used in the industry to reproduce (XSS) attacks automatically. In spite of the technical sophistication and adv...
2001.04484
Luca Papariello
Luca Papariello, Alexandros Bampoulidis, Mihai Lupu
On the Replicability of Combining Word Embeddings and Retrieval Models
null
null
null
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We replicate recent experiments attempting to demonstrate an attractive hypothesis about the use of the Fisher kernel framework and mixture models for aggregating word embeddings towards document representations and the use of these representations in document classification, clustering, and retrieval. Specifically, ...
[ { "created": "Mon, 13 Jan 2020 19:01:07 GMT", "version": "v1" } ]
2020-01-15
[ [ "Papariello", "Luca", "" ], [ "Bampoulidis", "Alexandros", "" ], [ "Lupu", "Mihai", "" ] ]
We replicate recent experiments attempting to demonstrate an attractive hypothesis about the use of the Fisher kernel framework and mixture models for aggregating word embeddings towards document representations and the use of these representations in document classification, clustering, and retrieval. Specifically, th...
2403.09547
Jo\~ao Helis Bernardo
Jo\~ao Helis Bernardo, Daniel Alencar da Costa, S\'ergio Queiroz de Medeiros, Uir\'a Kulesza
How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
10 pages, Mining Software Repositories, MSR 2024
null
null
null
cs.SE cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Continuous Integration (CI) is a well-established practice in traditional software development, but its nuances in the domain of Machine Learning (ML) projects remain relatively unexplored. Given the distinctive nature of ML development, understanding how CI practices are adopted in this context is crucial for tailor...
[ { "created": "Thu, 14 Mar 2024 16:35:39 GMT", "version": "v1" } ]
2024-03-15
[ [ "Bernardo", "João Helis", "" ], [ "da Costa", "Daniel Alencar", "" ], [ "de Medeiros", "Sérgio Queiroz", "" ], [ "Kulesza", "Uirá", "" ] ]
Continuous Integration (CI) is a well-established practice in traditional software development, but its nuances in the domain of Machine Learning (ML) projects remain relatively unexplored. Given the distinctive nature of ML development, understanding how CI practices are adopted in this context is crucial for tailorin...
1902.09103
Tianwei Shen
Tianwei Shen, Zixin Luo, Lei Zhou, Hanyu Deng, Runze Zhang, Tian Fang, Long Quan
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Accepted by ICRA 2019
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate relative pose is one of the key components in visual odometry (VO) and simultaneous localization and mapping (SLAM). Recently, the self-supervised learning framework that jointly optimizes the relative pose and target image depth has attracted the attention of the community. Previous works rely on the photom...
[ { "created": "Mon, 25 Feb 2019 06:22:52 GMT", "version": "v1" } ]
2019-02-26
[ [ "Shen", "Tianwei", "" ], [ "Luo", "Zixin", "" ], [ "Zhou", "Lei", "" ], [ "Deng", "Hanyu", "" ], [ "Zhang", "Runze", "" ], [ "Fang", "Tian", "" ], [ "Quan", "Long", "" ] ]
Accurate relative pose is one of the key components in visual odometry (VO) and simultaneous localization and mapping (SLAM). Recently, the self-supervised learning framework that jointly optimizes the relative pose and target image depth has attracted the attention of the community. Previous works rely on the photomet...
2305.19157
Reza Faieghi
S. Mohammadreza Ebrahimi, Farid Norouzi, Hossein Dastres, Reza Faieghi, Mehdi Naderi, Milad Malekzadeh
Sensor Fault Detection and Compensation with Performance Prescription for Robotic Manipulators
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper focuses on sensor fault detection and compensation for robotic manipulators. The proposed method features a new adaptive observer and a new terminal sliding mode control law established on a second-order integral sliding surface. The method enables sensor fault detection without the need to know the bounds...
[ { "created": "Tue, 30 May 2023 15:58:56 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 01:09:34 GMT", "version": "v2" } ]
2024-03-20
[ [ "Ebrahimi", "S. Mohammadreza", "" ], [ "Norouzi", "Farid", "" ], [ "Dastres", "Hossein", "" ], [ "Faieghi", "Reza", "" ], [ "Naderi", "Mehdi", "" ], [ "Malekzadeh", "Milad", "" ] ]
This paper focuses on sensor fault detection and compensation for robotic manipulators. The proposed method features a new adaptive observer and a new terminal sliding mode control law established on a second-order integral sliding surface. The method enables sensor fault detection without the need to know the bounds o...
2102.11649
Rafa\"el Bocquet
Rafa\"el Bocquet and Ambrus Kaposi and Christian Sattler
Relative induction principles for type theories
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present new induction principles for the syntax of dependent type theories, which we call relative induction principles. The result of the induction principle relative to a functor F into the syntax is stable over the codomain of F. We rely on the internal language of presheaf categories. In order to combine the i...
[ { "created": "Tue, 23 Feb 2021 12:08:25 GMT", "version": "v1" }, { "created": "Mon, 19 Jul 2021 12:42:20 GMT", "version": "v2" } ]
2021-07-20
[ [ "Bocquet", "Rafaël", "" ], [ "Kaposi", "Ambrus", "" ], [ "Sattler", "Christian", "" ] ]
We present new induction principles for the syntax of dependent type theories, which we call relative induction principles. The result of the induction principle relative to a functor F into the syntax is stable over the codomain of F. We rely on the internal language of presheaf categories. In order to combine the int...
1811.05233
Yuichi Kageyama
Hiroaki Mikami, Hisahiro Suganuma, Pongsakorn U-chupala, Yoshiki Tanaka and Yuichi Kageyama
Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scaling the distributed deep learning to a massive GPU cluster level is challenging due to the instability of the large mini-batch training and the overhead of the gradient synchronization. We address the instability of the large mini-batch training with batch-size control and label smoothing. We address the overhead...
[ { "created": "Tue, 13 Nov 2018 11:52:04 GMT", "version": "v1" }, { "created": "Tue, 5 Mar 2019 09:18:09 GMT", "version": "v2" } ]
2019-03-06
[ [ "Mikami", "Hiroaki", "" ], [ "Suganuma", "Hisahiro", "" ], [ "U-chupala", "Pongsakorn", "" ], [ "Tanaka", "Yoshiki", "" ], [ "Kageyama", "Yuichi", "" ] ]
Scaling the distributed deep learning to a massive GPU cluster level is challenging due to the instability of the large mini-batch training and the overhead of the gradient synchronization. We address the instability of the large mini-batch training with batch-size control and label smoothing. We address the overhead o...
2401.02636
Haitao Wang
Haitao Wang
Algorithms for Computing Closest Points for Segments
Accepted to STACS 2024
null
null
null
cs.CG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a set $P$ of $n$ points and a set $S$ of $n$ segments in the plane, we consider the problem of computing for each segment of $S$ its closest point in $P$. The previously best algorithm solves the problem in $n^{4/3}2^{O(\log^*n)}$ time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) ...
[ { "created": "Fri, 5 Jan 2024 04:56:22 GMT", "version": "v1" } ]
2024-01-08
[ [ "Wang", "Haitao", "" ] ]
Given a set $P$ of $n$ points and a set $S$ of $n$ segments in the plane, we consider the problem of computing for each segment of $S$ its closest point in $P$. The previously best algorithm solves the problem in $n^{4/3}2^{O(\log^*n)}$ time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) $\...
2303.12594
Jie Luo
Jie Luo, Carlo Longhi and Agoston E. Eiben
A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots
8 pages, ALife
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
In the most extensive robot evolution systems, both the bodies and the brains of the robots undergo evolution and the brains of 'infant' robots are also optimized by a learning process immediately after 'birth'. This paper is concerned with the brain evolution mechanism in such a system. In particular, we compare fou...
[ { "created": "Wed, 22 Mar 2023 14:31:52 GMT", "version": "v1" }, { "created": "Mon, 29 May 2023 07:23:32 GMT", "version": "v2" }, { "created": "Tue, 30 May 2023 12:01:04 GMT", "version": "v3" } ]
2023-05-31
[ [ "Luo", "Jie", "" ], [ "Longhi", "Carlo", "" ], [ "Eiben", "Agoston E.", "" ] ]
In the most extensive robot evolution systems, both the bodies and the brains of the robots undergo evolution and the brains of 'infant' robots are also optimized by a learning process immediately after 'birth'. This paper is concerned with the brain evolution mechanism in such a system. In particular, we compare four ...
2401.13656
Federico Cinus
Ernesto Colacrai, Federico Cinus, Gianmarco De Francisci Morales, Michele Starnini
Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity
null
null
null
null
cs.SI cs.CY physics.soc-ph stat.AP
http://creativecommons.org/licenses/by/4.0/
The prevalent perspective in quantitative research on opinion dynamics flattens the landscape of the online political discourse into a traditional left--right dichotomy. While this approach helps simplify the analysis and modeling effort, it also neglects the intrinsic multidimensional richness of ideologies. In this...
[ { "created": "Wed, 24 Jan 2024 18:49:19 GMT", "version": "v1" } ]
2024-01-25
[ [ "Colacrai", "Ernesto", "" ], [ "Cinus", "Federico", "" ], [ "Morales", "Gianmarco De Francisci", "" ], [ "Starnini", "Michele", "" ] ]
The prevalent perspective in quantitative research on opinion dynamics flattens the landscape of the online political discourse into a traditional left--right dichotomy. While this approach helps simplify the analysis and modeling effort, it also neglects the intrinsic multidimensional richness of ideologies. In this s...
1807.06958
Dimitar Nikolov
Dimitar Nikolov and Mounia Lalmas and Alessandro Flammini and Filippo Menczer
Quantifying Biases in Online Information Exposure
25 pages, 10 figures, to appear in the Journal of the Association for Information Science and Technology (JASIST)
JASIST 70 (3): 218-229, 2019
10.1002/asi.24121
null
cs.SI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure...
[ { "created": "Wed, 18 Jul 2018 14:19:49 GMT", "version": "v1" } ]
2020-10-07
[ [ "Nikolov", "Dimitar", "" ], [ "Lalmas", "Mounia", "" ], [ "Flammini", "Alessandro", "" ], [ "Menczer", "Filippo", "" ] ]
Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure t...
2406.02034
Soha Hussein
Soha Hussein, Stephen McCamant, Mike Whalen
Generator-Based Fuzzers with Type-Based Targeted Mutation
Fixing rendering of figure
null
null
null
cs.SE
http://creativecommons.org/licenses/by-sa/4.0/
As with any fuzzer, directing Generator-Based Fuzzers (GBF) to reach particular code targets can increase the fuzzer's effectiveness. In previous work, coverage-guided fuzzers used a mix of static analysis, taint analysis, and constraint-solving approaches to address this problem. However, none of these techniques we...
[ { "created": "Tue, 4 Jun 2024 07:20:13 GMT", "version": "v1" }, { "created": "Wed, 12 Jun 2024 07:32:41 GMT", "version": "v2" } ]
2024-06-13
[ [ "Hussein", "Soha", "" ], [ "McCamant", "Stephen", "" ], [ "Whalen", "Mike", "" ] ]
As with any fuzzer, directing Generator-Based Fuzzers (GBF) to reach particular code targets can increase the fuzzer's effectiveness. In previous work, coverage-guided fuzzers used a mix of static analysis, taint analysis, and constraint-solving approaches to address this problem. However, none of these techniques were...