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2210.06594
Raghavendra Addanki
Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Sample Constrained Treatment Effect Estimation
Conference on Neural Information Processing Systems (NeurIPS) 2022
null
null
null
cs.LG cs.AI cs.DS econ.EM stat.ME
http://creativecommons.org/licenses/by/4.0/
Treatment effect estimation is a fundamental problem in causal inference. We focus on designing efficient randomized controlled trials, to accurately estimate the effect of some treatment on a population of $n$ individuals. In particular, we study sample-constrained treatment effect estimation, where we must select a...
[ { "created": "Wed, 12 Oct 2022 21:13:47 GMT", "version": "v1" } ]
2022-10-14
[ [ "Addanki", "Raghavendra", "" ], [ "Arbour", "David", "" ], [ "Mai", "Tung", "" ], [ "Musco", "Cameron", "" ], [ "Rao", "Anup", "" ] ]
Treatment effect estimation is a fundamental problem in causal inference. We focus on designing efficient randomized controlled trials, to accurately estimate the effect of some treatment on a population of $n$ individuals. In particular, we study sample-constrained treatment effect estimation, where we must select a s...
cs/9909015
Joseph Y. Halpern
Francis C. Chu and Joseph Y. Halpern
A decision-theoretic approach to reliable message delivery
This is the full version of a paper that appears in the Proceedings of the 12th International Symposium on Distributed Computing, 1998, pp. 89-10
null
null
null
cs.DC
null
We argue that the tools of decision theory need to be taken more seriously in the specification and analysis of systems. We illustrate this by considering a simple problem involving reliable communication, showing how considerations of utility and probability can be used to decide when it is worth sending heartbeat m...
[ { "created": "Tue, 21 Sep 1999 20:51:37 GMT", "version": "v1" } ]
2007-05-23
[ [ "Chu", "Francis C.", "" ], [ "Halpern", "Joseph Y.", "" ] ]
We argue that the tools of decision theory need to be taken more seriously in the specification and analysis of systems. We illustrate this by considering a simple problem involving reliable communication, showing how considerations of utility and probability can be used to decide when it is worth sending heartbeat mes...
2002.09866
Yossi Adi
Yossi Adi, Yaniv Nemcovsky, Alex Schwing, Tamir Hazan
On the generalization of bayesian deep nets for multi-class classification
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generalization bounds which assess the difference between the true risk and the empirical risk have been studied extensively. However, to obtain bounds, current techniques use strict assumptions such as a uniformly bounded or a Lipschitz loss function. To avoid these assumptions, in this paper, we propose a new gener...
[ { "created": "Sun, 23 Feb 2020 09:05:03 GMT", "version": "v1" } ]
2020-02-25
[ [ "Adi", "Yossi", "" ], [ "Nemcovsky", "Yaniv", "" ], [ "Schwing", "Alex", "" ], [ "Hazan", "Tamir", "" ] ]
Generalization bounds which assess the difference between the true risk and the empirical risk have been studied extensively. However, to obtain bounds, current techniques use strict assumptions such as a uniformly bounded or a Lipschitz loss function. To avoid these assumptions, in this paper, we propose a new general...
1606.00195
Ioannis Marcoullis
Shlomi Dolev, Chryssis Georgiou, Ioannis Marcoullis, Elad M. Schiller
Self-stabilizing Reconfiguration
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current reconfiguration techniques are based on starting the system in a consistent configuration, in which all participating entities are in their initial state. Starting from that state, the system must preserve consistency as long as a predefined churn rate of processors joins and leaves is not violated, and unbou...
[ { "created": "Wed, 1 Jun 2016 09:44:57 GMT", "version": "v1" }, { "created": "Tue, 6 Dec 2016 09:18:57 GMT", "version": "v2" } ]
2016-12-07
[ [ "Dolev", "Shlomi", "" ], [ "Georgiou", "Chryssis", "" ], [ "Marcoullis", "Ioannis", "" ], [ "Schiller", "Elad M.", "" ] ]
Current reconfiguration techniques are based on starting the system in a consistent configuration, in which all participating entities are in their initial state. Starting from that state, the system must preserve consistency as long as a predefined churn rate of processors joins and leaves is not violated, and unbound...
1207.1811
George Katsirelos
George Katsirelos and Nina Narodytska and Toby Walsh
The SeqBin Constraint Revisited
Longer version of paper accepted at CP 2012
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the SeqBin constraint. This meta-constraint subsumes a number of important global constraints like Change, Smooth and IncreasingNValue. We show that the previously proposed filtering algorithm for SeqBin has two drawbacks even under strong restrictions: it does not detect bounds disentailment and it is not...
[ { "created": "Sat, 7 Jul 2012 16:21:53 GMT", "version": "v1" } ]
2015-03-20
[ [ "Katsirelos", "George", "" ], [ "Narodytska", "Nina", "" ], [ "Walsh", "Toby", "" ] ]
We revisit the SeqBin constraint. This meta-constraint subsumes a number of important global constraints like Change, Smooth and IncreasingNValue. We show that the previously proposed filtering algorithm for SeqBin has two drawbacks even under strong restrictions: it does not detect bounds disentailment and it is not i...
2306.05239
Xiao Wang
Bo Jiang, Chengguo Yuan, Xiao Wang, Zhimin Bao, Lin Zhu, Yonghong Tian, Jin Tang
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition
In Peer Review
null
null
null
cs.CV cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sampled point and voxel methods are usually employed to downsample the dense events into sparse ones. After that, one popular way is to leverage a graph model which treats the sparse points/voxels as nodes and adopts graph neural networks (GNNs) to learn the representation of event data. Although good performance can...
[ { "created": "Thu, 8 Jun 2023 14:38:43 GMT", "version": "v1" }, { "created": "Sat, 29 Jul 2023 12:18:38 GMT", "version": "v2" } ]
2023-08-01
[ [ "Jiang", "Bo", "" ], [ "Yuan", "Chengguo", "" ], [ "Wang", "Xiao", "" ], [ "Bao", "Zhimin", "" ], [ "Zhu", "Lin", "" ], [ "Tian", "Yonghong", "" ], [ "Tang", "Jin", "" ] ]
Sampled point and voxel methods are usually employed to downsample the dense events into sparse ones. After that, one popular way is to leverage a graph model which treats the sparse points/voxels as nodes and adopts graph neural networks (GNNs) to learn the representation of event data. Although good performance can b...
2211.15234
Ruitian Wu
Jingwei Li, Ruitian Wu, Tzu-liang Huang, Zian Pan, Ming-chun Huang
Shoupa: An AI System for Early Diagnosis of Parkinson's Disease
2 pages, 1 figure, accepted by IEEE/ACM CHASE 2022 (Poster Presentation)
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not acces...
[ { "created": "Mon, 28 Nov 2022 11:32:17 GMT", "version": "v1" } ]
2022-11-29
[ [ "Li", "Jingwei", "" ], [ "Wu", "Ruitian", "" ], [ "Huang", "Tzu-liang", "" ], [ "Pan", "Zian", "" ], [ "Huang", "Ming-chun", "" ] ]
Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not accessi...
2109.01860
Taiping Yao
Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma
Spatiotemporal Inconsistency Learning for DeepFake Video Detection
To appear in ACM MM 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid development of facial manipulation techniques has aroused public concerns in recent years. Following the success of deep learning, existing methods always formulate DeepFake video detection as a binary classification problem and develop frame-based and video-based solutions. However, little attention has be...
[ { "created": "Sat, 4 Sep 2021 13:05:37 GMT", "version": "v1" }, { "created": "Tue, 7 Sep 2021 09:05:29 GMT", "version": "v2" }, { "created": "Mon, 11 Oct 2021 05:15:08 GMT", "version": "v3" } ]
2021-10-12
[ [ "Gu", "Zhihao", "" ], [ "Chen", "Yang", "" ], [ "Yao", "Taiping", "" ], [ "Ding", "Shouhong", "" ], [ "Li", "Jilin", "" ], [ "Huang", "Feiyue", "" ], [ "Ma", "Lizhuang", "" ] ]
The rapid development of facial manipulation techniques has aroused public concerns in recent years. Following the success of deep learning, existing methods always formulate DeepFake video detection as a binary classification problem and develop frame-based and video-based solutions. However, little attention has been...
1201.5418
Rafael Caballero
R. Caballero, M. Rodriguez-Artalejo and C. A. Romero-Diaz
A Transformation-based Implementation for CLP with Qualification and Proximity
To appear in Theory and Practice of Logic Programming (TPLP). arXiv admin note: significant text overlap with arXiv:1009.1976
null
null
12-R01-TPLP
cs.LO cs.PL
http://creativecommons.org/licenses/publicdomain/
Uncertainty in logic programming has been widely investigated in the last decades, leading to multiple extensions of the classical LP paradigm. However, few of these are designed as extensions of the well-established and powerful CLP scheme for Constraint Logic Programming. In a previous work we have proposed the SQC...
[ { "created": "Wed, 25 Jan 2012 23:47:26 GMT", "version": "v1" } ]
2012-01-27
[ [ "Caballero", "R.", "" ], [ "Rodriguez-Artalejo", "M.", "" ], [ "Romero-Diaz", "C. A.", "" ] ]
Uncertainty in logic programming has been widely investigated in the last decades, leading to multiple extensions of the classical LP paradigm. However, few of these are designed as extensions of the well-established and powerful CLP scheme for Constraint Logic Programming. In a previous work we have proposed the SQCLP...
2204.00679
Arsha Nagrani
Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun and Cordelia Schmid
Learning Audio-Video Modalities from Image Captions
null
null
null
null
cs.CV cs.MM cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major challenge in text-video and text-audio retrieval is the lack of large-scale training data. This is unlike image-captioning, where datasets are in the order of millions of samples. To close this gap we propose a new video mining pipeline which involves transferring captions from image captioning datasets to vi...
[ { "created": "Fri, 1 Apr 2022 19:48:18 GMT", "version": "v1" } ]
2022-04-05
[ [ "Nagrani", "Arsha", "" ], [ "Seo", "Paul Hongsuck", "" ], [ "Seybold", "Bryan", "" ], [ "Hauth", "Anja", "" ], [ "Manen", "Santiago", "" ], [ "Sun", "Chen", "" ], [ "Schmid", "Cordelia", "" ] ]
A major challenge in text-video and text-audio retrieval is the lack of large-scale training data. This is unlike image-captioning, where datasets are in the order of millions of samples. To close this gap we propose a new video mining pipeline which involves transferring captions from image captioning datasets to vide...
2009.07970
Bardia Yousefi
Hossein Memarzadeh Sharifipour, Bardia Yousefi, Xavier P.V. Maldague
Skeletonization and Reconstruction based on Graph Morphological Transformations
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiscale shape skeletonization on pixel adjacency graphs is an advanced intriguing research subject in the field of image processing, computer vision and data mining. The previous works in this area almost focused on the graph vertices. We proposed novel structured based graph morphological transformations based on...
[ { "created": "Wed, 16 Sep 2020 22:58:06 GMT", "version": "v1" } ]
2020-09-18
[ [ "Sharifipour", "Hossein Memarzadeh", "" ], [ "Yousefi", "Bardia", "" ], [ "Maldague", "Xavier P. V.", "" ] ]
Multiscale shape skeletonization on pixel adjacency graphs is an advanced intriguing research subject in the field of image processing, computer vision and data mining. The previous works in this area almost focused on the graph vertices. We proposed novel structured based graph morphological transformations based on e...
1912.09264
Yang Li
Yang Li and Hongbo Li
Improved quantum algorithm for the random subset sum problem
arXiv admin note: text overlap with arXiv:1907.04295 by other authors
null
null
null
cs.DS cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Solving random subset sum instances plays an important role in constructing cryptographic systems. For the random subset sum problem, in 2013 Bernstein et al. proposed a quantum algorithm with heuristic time complexity $\widetilde{O}(2^{0.241n})$, where the "$\widetilde{O}$" symbol is used to omit poly($\log n$) fact...
[ { "created": "Wed, 18 Dec 2019 05:51:03 GMT", "version": "v1" }, { "created": "Thu, 13 Feb 2020 18:17:30 GMT", "version": "v2" } ]
2020-02-14
[ [ "Li", "Yang", "" ], [ "Li", "Hongbo", "" ] ]
Solving random subset sum instances plays an important role in constructing cryptographic systems. For the random subset sum problem, in 2013 Bernstein et al. proposed a quantum algorithm with heuristic time complexity $\widetilde{O}(2^{0.241n})$, where the "$\widetilde{O}$" symbol is used to omit poly($\log n$) factor...
2009.13257
Zeev Nutov
Zeev Nutov
Approximation algorithms for connectivity augmentation problems
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Connectivity Augmentation problems we are given a graph $H=(V,E_H)$ and an edge set $E$ on $V$, and seek a min-size edge set $J \subseteq E$ such that $H \cup J$ has larger edge/node connectivity than $H$. In the Edge-Connectivity Augmentation problem we need to increase the edge-connectivity by $1$. In the Block-...
[ { "created": "Mon, 28 Sep 2020 12:27:05 GMT", "version": "v1" }, { "created": "Fri, 13 Nov 2020 21:37:16 GMT", "version": "v2" } ]
2020-11-17
[ [ "Nutov", "Zeev", "" ] ]
In Connectivity Augmentation problems we are given a graph $H=(V,E_H)$ and an edge set $E$ on $V$, and seek a min-size edge set $J \subseteq E$ such that $H \cup J$ has larger edge/node connectivity than $H$. In the Edge-Connectivity Augmentation problem we need to increase the edge-connectivity by $1$. In the Block-Tr...
2104.12800
Stanislav \v{Z}ivn\'y
Alex Brandts and Stanislav \v{Z}ivn\'y
Beyond PCSP (1-in-3,NAE)
Full version of an ICALP 2021 paper
Information and Computation 289, Part A, 104954 (2022)
10.1016/j.ic.2022.104954
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The promise constraint satisfaction problem (PCSP) is a recently introduced vast generalisation of the constraint satisfaction problem (CSP) that captures approximability of satisfiable instances. A PCSP instance comes with two forms of each constraint: a strict one and a weak one. Given the promise that a solution e...
[ { "created": "Mon, 26 Apr 2021 18:00:41 GMT", "version": "v1" }, { "created": "Sat, 12 Feb 2022 13:27:46 GMT", "version": "v2" }, { "created": "Sun, 28 Aug 2022 19:14:35 GMT", "version": "v3" } ]
2023-01-31
[ [ "Brandts", "Alex", "" ], [ "Živný", "Stanislav", "" ] ]
The promise constraint satisfaction problem (PCSP) is a recently introduced vast generalisation of the constraint satisfaction problem (CSP) that captures approximability of satisfiable instances. A PCSP instance comes with two forms of each constraint: a strict one and a weak one. Given the promise that a solution exi...
0704.0831
Brooke Shrader
Brooke Shrader and Anthony Ephremides
On packet lengths and overhead for random linear coding over the erasure channel
5 pages, 5 figures, submitted to the 2007 International Wireless Communications and Mobile Computing Conference
null
null
null
cs.IT math.IT
null
We assess the practicality of random network coding by illuminating the issue of overhead and considering it in conjunction with increasingly long packets sent over the erasure channel. We show that the transmission of increasingly long packets, consisting of either of an increasing number of symbols per packet or an...
[ { "created": "Fri, 6 Apr 2007 02:25:40 GMT", "version": "v1" } ]
2007-07-13
[ [ "Shrader", "Brooke", "" ], [ "Ephremides", "Anthony", "" ] ]
We assess the practicality of random network coding by illuminating the issue of overhead and considering it in conjunction with increasingly long packets sent over the erasure channel. We show that the transmission of increasingly long packets, consisting of either of an increasing number of symbols per packet or an i...
2312.15863
Hangyu Mao
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, and Jiangjin Yin
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024, full paper with oral presentation). Cover our preliminary study: arXiv:2212.14538
null
null
null
cs.LG cs.AI cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Designing better deep networks and better reinforcement learning (RL) algorithms are both important for deep RL. This work studies the former. Specifically, the Perception and Decision-making Interleaving Transformer (PDiT) network is proposed, which cascades two Transformers in a very natural way: the perceiving one...
[ { "created": "Tue, 26 Dec 2023 03:07:10 GMT", "version": "v1" } ]
2023-12-27
[ [ "Mao", "Hangyu", "" ], [ "Zhao", "Rui", "" ], [ "Li", "Ziyue", "" ], [ "Xu", "Zhiwei", "" ], [ "Chen", "Hao", "" ], [ "Chen", "Yiqun", "" ], [ "Zhang", "Bin", "" ], [ "Xiao", "Zhen", "" ],...
Designing better deep networks and better reinforcement learning (RL) algorithms are both important for deep RL. This work studies the former. Specifically, the Perception and Decision-making Interleaving Transformer (PDiT) network is proposed, which cascades two Transformers in a very natural way: the perceiving one f...
2105.03897
Savas Ozkan
Savas Ozkan, Gozde Bozdagi Akar
Binarized Weight Error Networks With a Transition Regularization Term
Submitted to ICIP 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper proposes a novel binarized weight network (BT) for a resource-efficient neural structure. The proposed model estimates a binary representation of weights by taking into account the approximation error with an additional term. This model increases representation capacity and stability, particularly for shal...
[ { "created": "Sun, 9 May 2021 10:11:26 GMT", "version": "v1" } ]
2021-05-11
[ [ "Ozkan", "Savas", "" ], [ "Akar", "Gozde Bozdagi", "" ] ]
This paper proposes a novel binarized weight network (BT) for a resource-efficient neural structure. The proposed model estimates a binary representation of weights by taking into account the approximation error with an additional term. This model increases representation capacity and stability, particularly for shallo...
1907.07972
Zulfat Miftahutdinov
Zulfat Miftahutdinov and Elena Tutubalina
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
This is preprint of the paper "Deep Neural Models for Medical Concept Normalization in User-Generated Texts" to be published at ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
ACL SRW 2019
10.18653/v1/P19-2055
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we consider the medical concept normalization problem, i.e., the problem of mapping a health-related entity mention in a free-form text to a concept in a controlled vocabulary, usually to the standard thesaurus in the Unified Medical Language System (UMLS). This is a challenging task since medical termi...
[ { "created": "Thu, 18 Jul 2019 10:36:03 GMT", "version": "v1" } ]
2023-11-21
[ [ "Miftahutdinov", "Zulfat", "" ], [ "Tutubalina", "Elena", "" ] ]
In this work, we consider the medical concept normalization problem, i.e., the problem of mapping a health-related entity mention in a free-form text to a concept in a controlled vocabulary, usually to the standard thesaurus in the Unified Medical Language System (UMLS). This is a challenging task since medical termino...
1307.1461
Sung Ho Chae
Sung Ho Chae, Changho Suh, and Sae-Young Chung
Degrees of Freedom of the Rank-deficient Interference Channel with Feedback
The material in this paper will be presented in part at the IEEE International Symposium on Information Theory (ISIT) 2013 and was in part submitted to the Allerton Conference on Communication, Control, and Computing 2013
null
10.1109/TIT.2015.2428233
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the total degrees of freedom (DoF) of the K-user rank-deficient interference channel with feedback. For the two-user case, we characterize the total DoF by developing an achievable scheme and deriving a matching upper bound. For the three-user case, we develop a new achievable scheme which employs inte...
[ { "created": "Thu, 4 Jul 2013 19:49:24 GMT", "version": "v1" }, { "created": "Fri, 5 Jul 2013 05:50:15 GMT", "version": "v2" } ]
2016-11-17
[ [ "Chae", "Sung Ho", "" ], [ "Suh", "Changho", "" ], [ "Chung", "Sae-Young", "" ] ]
We investigate the total degrees of freedom (DoF) of the K-user rank-deficient interference channel with feedback. For the two-user case, we characterize the total DoF by developing an achievable scheme and deriving a matching upper bound. For the three-user case, we develop a new achievable scheme which employs interf...
2312.04604
Kyeongryeol Go
Kyeongryeol Go, Kye-Hyeon Kim
Transferable Candidate Proposal with Bounded Uncertainty
Accepted in NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
From an empirical perspective, the subset chosen through active learning cannot guarantee an advantage over random sampling when transferred to another model. While it underscores the significance of verifying transferability, experimental design from previous works often neglected that the informativeness of a data ...
[ { "created": "Thu, 7 Dec 2023 08:47:28 GMT", "version": "v1" } ]
2023-12-11
[ [ "Go", "Kyeongryeol", "" ], [ "Kim", "Kye-Hyeon", "" ] ]
From an empirical perspective, the subset chosen through active learning cannot guarantee an advantage over random sampling when transferred to another model. While it underscores the significance of verifying transferability, experimental design from previous works often neglected that the informativeness of a data su...
2312.02859
Alexandra Zytek
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, and Kalyan Veeramachaneni
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring
Presented in XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023. 8 pages, 3 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Through past experiences deploying what we call usable ML (one step beyond explainable ML, including both explanations and other augmenting information) to real-world domains, we have learned three key lessons. First, many organizations are beginning to hire people who we call ``bridges'' because they bridge the gap ...
[ { "created": "Tue, 5 Dec 2023 16:13:50 GMT", "version": "v1" } ]
2023-12-06
[ [ "Zytek", "Alexandra", "" ], [ "Wang", "Wei-En", "" ], [ "Koukoura", "Sofia", "" ], [ "Veeramachaneni", "Kalyan", "" ] ]
Through past experiences deploying what we call usable ML (one step beyond explainable ML, including both explanations and other augmenting information) to real-world domains, we have learned three key lessons. First, many organizations are beginning to hire people who we call ``bridges'' because they bridge the gap be...
2112.01085
Ziao Yang
Ziao Yang, Xiangrui Yang and Qifeng Lin
PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipitation Nowcasting
9 pages, 3 figures
null
null
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Precipitation nowcasting is to predict the future rainfall intensity over a short period of time, which mainly relies on the prediction of radar echo sequences. Though convolutional neural network (CNN) and recurrent neural network (RNN) are widely used to generate radar echo frames, they suffer from inductive bias (...
[ { "created": "Thu, 2 Dec 2021 10:05:01 GMT", "version": "v1" }, { "created": "Fri, 3 Jun 2022 04:50:30 GMT", "version": "v2" } ]
2022-06-06
[ [ "Yang", "Ziao", "" ], [ "Yang", "Xiangrui", "" ], [ "Lin", "Qifeng", "" ] ]
Precipitation nowcasting is to predict the future rainfall intensity over a short period of time, which mainly relies on the prediction of radar echo sequences. Though convolutional neural network (CNN) and recurrent neural network (RNN) are widely used to generate radar echo frames, they suffer from inductive bias (i....
2310.08558
Max Sobol Mark
Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
null
null
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
It is desirable for policies to optimistically explore new states and behaviors during online reinforcement learning (RL) or fine-tuning, especially when prior offline data does not provide enough state coverage. However, exploration bonuses can bias the learned policy, and our experiments find that naive, yet standa...
[ { "created": "Thu, 12 Oct 2023 17:50:09 GMT", "version": "v1" } ]
2023-10-13
[ [ "Mark", "Max Sobol", "" ], [ "Sharma", "Archit", "" ], [ "Tajwar", "Fahim", "" ], [ "Rafailov", "Rafael", "" ], [ "Levine", "Sergey", "" ], [ "Finn", "Chelsea", "" ] ]
It is desirable for policies to optimistically explore new states and behaviors during online reinforcement learning (RL) or fine-tuning, especially when prior offline data does not provide enough state coverage. However, exploration bonuses can bias the learned policy, and our experiments find that naive, yet standard...
2108.10967
Utkarsh Mall
Utkarsh Mall, Bharath Hariharan, and Kavita Bala
Field-Guide-Inspired Zero-Shot Learning
Accepted to ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Modern recognition systems require large amounts of supervision to achieve accuracy. Adapting to new domains requires significant data from experts, which is onerous and can become too expensive. Zero-shot learning requires an annotated set of attributes for a novel category. Annotating the full set of attributes for...
[ { "created": "Tue, 24 Aug 2021 21:36:05 GMT", "version": "v1" } ]
2021-08-26
[ [ "Mall", "Utkarsh", "" ], [ "Hariharan", "Bharath", "" ], [ "Bala", "Kavita", "" ] ]
Modern recognition systems require large amounts of supervision to achieve accuracy. Adapting to new domains requires significant data from experts, which is onerous and can become too expensive. Zero-shot learning requires an annotated set of attributes for a novel category. Annotating the full set of attributes for a...
1903.05266
Tu Le
John A. Stankovic, Tu Le, Abdeltawab Hendawi, Yuan Tian
Hardware/Software Security Patches for Internet of Trillions of Things
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid development of the Internet of Things, there are many interacting devices and applications. One crucial challenge is how to provide security. Our proposal for a new direction is to create "smart buttons" and collections of them called "smart blankets" as hardware/software security patches rather than s...
[ { "created": "Tue, 12 Mar 2019 23:46:30 GMT", "version": "v1" } ]
2019-03-14
[ [ "Stankovic", "John A.", "" ], [ "Le", "Tu", "" ], [ "Hendawi", "Abdeltawab", "" ], [ "Tian", "Yuan", "" ] ]
With the rapid development of the Internet of Things, there are many interacting devices and applications. One crucial challenge is how to provide security. Our proposal for a new direction is to create "smart buttons" and collections of them called "smart blankets" as hardware/software security patches rather than sof...
2311.09178
Marwah Sulaiman
Marwah Sulaiman, Zahraa Shehabeldin, Israa Fahmy, Mohammed Barakat, Mohammed El-Naggar, Dareen Hussein, Moustafa Youssef, Hesham M. Eraqi
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications. In this paper, we propose Recurrent Back-Projection Generative Adversarial Network (RBPGAN) for VSR in an attempt to generate temporally coherent solutions while preserving spatial d...
[ { "created": "Wed, 15 Nov 2023 18:15:30 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2023 14:02:35 GMT", "version": "v2" }, { "created": "Fri, 24 Nov 2023 11:47:25 GMT", "version": "v3" }, { "created": "Sun, 10 Dec 2023 23:30:20 GMT", "version": "v4" } ]
2023-12-12
[ [ "Sulaiman", "Marwah", "" ], [ "Shehabeldin", "Zahraa", "" ], [ "Fahmy", "Israa", "" ], [ "Barakat", "Mohammed", "" ], [ "El-Naggar", "Mohammed", "" ], [ "Hussein", "Dareen", "" ], [ "Youssef", "Moustafa", "...
Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications. In this paper, we propose Recurrent Back-Projection Generative Adversarial Network (RBPGAN) for VSR in an attempt to generate temporally coherent solutions while preserving spatial det...
1311.5108
Gildas Morvan
Jean-Baptiste Soyez, Gildas Morvan, Daniel Dupont, Rochdi Merzouki
A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations
Presented at 3th International Workshop on Multi-Agent Based Simulation, Valencia, Spain, 5th June 2012
Multi-Agent-Based Simulation XIII LNCS 7838 p 130-142, 2013
10.1007/978-3-642-38859-0_10
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits the engineering of dynamic multi-level agent-based models, to represent complex systems over several scales and domains of inter...
[ { "created": "Wed, 20 Nov 2013 15:44:26 GMT", "version": "v1" } ]
2013-11-21
[ [ "Soyez", "Jean-Baptiste", "" ], [ "Morvan", "Gildas", "" ], [ "Dupont", "Daniel", "" ], [ "Merzouki", "Rochdi", "" ] ]
This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits the engineering of dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interes...
2407.11038
Dianhui Wang
Dianhui Wang and Gang Dang
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
null
null
null
null
cs.LG cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel neuro-fuzzy model, termed fuzzy recurrent stochastic configuration networks (F-RSCNs), for industrial data analytics. Unlike the original recurrent stochastic configuration network (RSCN), the proposed F-RSCN is constructed by multiple sub-reservoirs, and each sub-reservoir is associated w...
[ { "created": "Sat, 6 Jul 2024 01:40:31 GMT", "version": "v1" }, { "created": "Tue, 13 Aug 2024 00:55:09 GMT", "version": "v2" } ]
2024-08-14
[ [ "Wang", "Dianhui", "" ], [ "Dang", "Gang", "" ] ]
This paper presents a novel neuro-fuzzy model, termed fuzzy recurrent stochastic configuration networks (F-RSCNs), for industrial data analytics. Unlike the original recurrent stochastic configuration network (RSCN), the proposed F-RSCN is constructed by multiple sub-reservoirs, and each sub-reservoir is associated wit...
0904.2375
Navin Kashyap
Akiko Manada and Navin Kashyap
The Zeta Function of a Periodic-Finite-Type Shift
To appear in Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT'09); 5 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The class of periodic-finite-type shifts (PFT's) is a class of sofic shifts that strictly includes the class of shifts of finite type (SFT's), and the zeta function of a PFT is a generating function for the number of periodic sequences in the shift. In this paper, we derive a useful formula for the zeta function of a...
[ { "created": "Wed, 15 Apr 2009 18:56:15 GMT", "version": "v1" } ]
2009-04-16
[ [ "Manada", "Akiko", "" ], [ "Kashyap", "Navin", "" ] ]
The class of periodic-finite-type shifts (PFT's) is a class of sofic shifts that strictly includes the class of shifts of finite type (SFT's), and the zeta function of a PFT is a generating function for the number of periodic sequences in the shift. In this paper, we derive a useful formula for the zeta function of a P...
2207.04174
Wes Robbins
Wes Robbins, Zanyar Zohourianshahzadi, and Jugal Kalita
Towards Multimodal Vision-Language Models Generating Non-Generic Text
null
2021 International Conference on Natural Language Processing
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly general. To address this, recent work has used optical character recognition to supplement visual information with text extracted from an i...
[ { "created": "Sat, 9 Jul 2022 01:56:35 GMT", "version": "v1" } ]
2022-07-12
[ [ "Robbins", "Wes", "" ], [ "Zohourianshahzadi", "Zanyar", "" ], [ "Kalita", "Jugal", "" ] ]
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly general. To address this, recent work has used optical character recognition to supplement visual information with text extracted from an ima...
2203.09777
Brandon Khoo
Brandon B. G. Khoo, Chern Hong Lim, Raphael C.-W. Phan
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images
21 pages, 8 figures. Code: https://github.com/quarxilon/Generator_Attribution
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
GAN-generated deepfakes as a genre of digital images are gaining ground as both catalysts of artistic expression and malicious forms of deception, therefore demanding systems to enforce and accredit their ethical use. Existing techniques for the source attribution of synthetic images identify subtle intrinsic fingerp...
[ { "created": "Fri, 18 Mar 2022 07:43:03 GMT", "version": "v1" } ]
2022-03-21
[ [ "Khoo", "Brandon B. G.", "" ], [ "Lim", "Chern Hong", "" ], [ "Phan", "Raphael C. -W.", "" ] ]
GAN-generated deepfakes as a genre of digital images are gaining ground as both catalysts of artistic expression and malicious forms of deception, therefore demanding systems to enforce and accredit their ethical use. Existing techniques for the source attribution of synthetic images identify subtle intrinsic fingerpri...
2007.09060
Prateek Verma
Camille Noufi and Prateek Verma
Self-Supervised Learning of Context-Aware Pitch Prosody Representations
null
null
null
null
cs.SD cs.CV cs.IR cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In music and speech, meaning is derived at multiple levels of context. Affect, for example, can be inferred both by a short sound token and by sonic patterns over a longer temporal window such as an entire recording. In this letter, we focus on inferring meaning from this dichotomy of contexts. We show how contextual...
[ { "created": "Fri, 17 Jul 2020 15:41:00 GMT", "version": "v1" }, { "created": "Sat, 24 Oct 2020 02:10:05 GMT", "version": "v2" }, { "created": "Thu, 25 Mar 2021 17:46:54 GMT", "version": "v3" }, { "created": "Sun, 1 Aug 2021 05:16:48 GMT", "version": "v4" } ]
2022-09-12
[ [ "Noufi", "Camille", "" ], [ "Verma", "Prateek", "" ] ]
In music and speech, meaning is derived at multiple levels of context. Affect, for example, can be inferred both by a short sound token and by sonic patterns over a longer temporal window such as an entire recording. In this letter, we focus on inferring meaning from this dichotomy of contexts. We show how contextual r...
2310.20203
Suman Sapkota
Suman Sapkota, Binod Bhattarai
Importance Estimation with Random Gradient for Neural Network Pruning
7 pages, 2 figures, ICLR 2023 Workshop on Sparsity in Neural Networks. arXiv admin note: text overlap with arXiv:2306.13203
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Global Neuron Importance Estimation is used to prune neural networks for efficiency reasons. To determine the global importance of each neuron or convolutional kernel, most of the existing methods either use activation or gradient information or both, which demands abundant labelled examples. In this work, we use heu...
[ { "created": "Tue, 31 Oct 2023 06:00:17 GMT", "version": "v1" } ]
2023-11-01
[ [ "Sapkota", "Suman", "" ], [ "Bhattarai", "Binod", "" ] ]
Global Neuron Importance Estimation is used to prune neural networks for efficiency reasons. To determine the global importance of each neuron or convolutional kernel, most of the existing methods either use activation or gradient information or both, which demands abundant labelled examples. In this work, we use heuri...
2312.17612
Florentia Afentaki
Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B Tahoori
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons
Accepted for publication at the 42th IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2023, San Francisco, USA
null
10.1109/ICCAD57390.2023.10323613
null
cs.AR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Printed Electronics (PE) feature distinct and remarkable characteristics that make them a prominent technology for achieving true ubiquitous computing. This is particularly relevant in application domains that require conformal and ultra-low cost solutions, which have experienced limited penetration of computing unti...
[ { "created": "Fri, 29 Dec 2023 14:16:11 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2024 11:14:22 GMT", "version": "v2" } ]
2024-02-06
[ [ "Afentaki", "Florentia", "" ], [ "Saglam", "Gurol", "" ], [ "Kokkinis", "Argyris", "" ], [ "Siozios", "Kostas", "" ], [ "Zervakis", "Georgios", "" ], [ "Tahoori", "Mehdi B", "" ] ]
Printed Electronics (PE) feature distinct and remarkable characteristics that make them a prominent technology for achieving true ubiquitous computing. This is particularly relevant in application domains that require conformal and ultra-low cost solutions, which have experienced limited penetration of computing until ...
1409.6226
Ricardo Martins
Ricardo Martins, Jo\~ao Filipe Ferreira, Jorge Dias
Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces
8 pages, presented in IROS 2014, Chicago
Proceedings of 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, USA, Sept. 14-18, 2014
10.1109/IROS.2014.6942711
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work contributes to the development of active haptic exploration strategies of surfaces using robotic hands in environments with an unknown structure. The architecture of the proposed approach consists two main Bayesian models, implementing the touch attention mechanisms of the system. The model pi_per perceives...
[ { "created": "Mon, 22 Sep 2014 16:07:42 GMT", "version": "v1" } ]
2016-11-18
[ [ "Martins", "Ricardo", "" ], [ "Ferreira", "João Filipe", "" ], [ "Dias", "Jorge", "" ] ]
This work contributes to the development of active haptic exploration strategies of surfaces using robotic hands in environments with an unknown structure. The architecture of the proposed approach consists two main Bayesian models, implementing the touch attention mechanisms of the system. The model pi_per perceives a...
2307.10311
Arnab Purkayastha
Shobhit Aggarwal, Arnab Purkayastha
SecureTrack- A contact tracing IoT platform for monitoring infectious diseases
22 Pages, 8 figures, To be published in "The Global Interdisciplinary Green Cities Conference 2023 Business, Engineering, Art, Architecture, Design, Political Science, International Relations, Applied Science & Technology. "
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The COVID-19 pandemic has highlighted the need for innovative solutions to monitor and control the spread of infectious diseases. With the potential for future pandemics and the risk of outbreaks particularly in academic institutions, there is a pressing need for effective approaches to monitor and manage such diseas...
[ { "created": "Wed, 19 Jul 2023 01:57:42 GMT", "version": "v1" } ]
2023-07-21
[ [ "Aggarwal", "Shobhit", "" ], [ "Purkayastha", "Arnab", "" ] ]
The COVID-19 pandemic has highlighted the need for innovative solutions to monitor and control the spread of infectious diseases. With the potential for future pandemics and the risk of outbreaks particularly in academic institutions, there is a pressing need for effective approaches to monitor and manage such diseases...
2001.05467
Tong Niu
Tong Niu, Mohit Bansal
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
AAAI 2020 (8 pages)
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many sequence-to-sequence dialogue models tend to generate safe, uninformative responses. There have been various useful efforts on trying to eliminate them. However, these approaches either improve decoding algorithms during inference, rely on hand-crafted features, or employ complex models. In our work, we build di...
[ { "created": "Wed, 15 Jan 2020 18:32:06 GMT", "version": "v1" } ]
2020-01-16
[ [ "Niu", "Tong", "" ], [ "Bansal", "Mohit", "" ] ]
Many sequence-to-sequence dialogue models tend to generate safe, uninformative responses. There have been various useful efforts on trying to eliminate them. However, these approaches either improve decoding algorithms during inference, rely on hand-crafted features, or employ complex models. In our work, we build dial...
2208.11978
Andrea Bedin
Andrea Bedin, Federico Chiariotti, Andrea Zanella
Joint Scheduling and Coding for Reliable, Latency-bounded Transmission over Parallel Wireless Links
7 pages, 6 figures. Accepted at IEEE Internet of Things Magazine
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Several novel industrial applications involve human control of vehicles, cranes, or mobile robots through various high-throughput feedback systems, such as Virtual Reality (VR) and tactile/haptic signals. The near real-time interaction between the system and the operator requires strict latency constraints in packet ...
[ { "created": "Thu, 25 Aug 2022 10:15:48 GMT", "version": "v1" } ]
2022-08-26
[ [ "Bedin", "Andrea", "" ], [ "Chiariotti", "Federico", "" ], [ "Zanella", "Andrea", "" ] ]
Several novel industrial applications involve human control of vehicles, cranes, or mobile robots through various high-throughput feedback systems, such as Virtual Reality (VR) and tactile/haptic signals. The near real-time interaction between the system and the operator requires strict latency constraints in packet ex...
2003.02587
Fuli Feng
Fuli Feng, Xiangnan He, Hanwang Zhang, and Tat-Seng Chua
Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature Interactions
Submitted to TKDE
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Convolutional Network (GCN) is an emerging technique that performs learning and reasoning on graph data. It operates feature learning on the graph structure, through aggregating the features of the neighbor nodes to obtain the embedding of each target node. Owing to the strong representation power, recent resea...
[ { "created": "Thu, 5 Mar 2020 13:05:27 GMT", "version": "v1" } ]
2020-03-06
[ [ "Feng", "Fuli", "" ], [ "He", "Xiangnan", "" ], [ "Zhang", "Hanwang", "" ], [ "Chua", "Tat-Seng", "" ] ]
Graph Convolutional Network (GCN) is an emerging technique that performs learning and reasoning on graph data. It operates feature learning on the graph structure, through aggregating the features of the neighbor nodes to obtain the embedding of each target node. Owing to the strong representation power, recent researc...
1608.06753
Shiyu Ji
Shiyu Ji
On the Correctness of Inverted Index Based Public-Key Searchable Encryption Scheme for Multi-time Search
3 pages, no figure
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this short note we argue that the state-of-art inverted index based public key searchable encryption scheme proposed by Wang et al may not be completely correct by giving a counterexample.
[ { "created": "Wed, 24 Aug 2016 08:42:17 GMT", "version": "v1" } ]
2016-08-25
[ [ "Ji", "Shiyu", "" ] ]
In this short note we argue that the state-of-art inverted index based public key searchable encryption scheme proposed by Wang et al may not be completely correct by giving a counterexample.
1812.03588
Rodrigo de Lamare
R. M. Oliveira and R. C. de Lamare
Study of Puncturing Techniques for Polar Codes in 5G Cellular and IoT Networks
4 figures, 6 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a puncturing technique based on the channel polarization index for the design of rate-compatible polar codes in the fifth generation (5G) of wireless systems. The proposed strategy consists of two steps: we first generate the codeword message; and then we reduce the length of the codeword based on...
[ { "created": "Mon, 10 Dec 2018 00:56:46 GMT", "version": "v1" } ]
2018-12-11
[ [ "Oliveira", "R. M.", "" ], [ "de Lamare", "R. C.", "" ] ]
This paper presents a puncturing technique based on the channel polarization index for the design of rate-compatible polar codes in the fifth generation (5G) of wireless systems. The proposed strategy consists of two steps: we first generate the codeword message; and then we reduce the length of the codeword based on t...
2005.04670
Ali AlSoufi Dr.
Mohammed Ghanem, Ali Alsoufi
Interoperable Framework to Enhance Citizen Services in the Kingdom of Bahrain
4 pages, 1 figure, conference paper, 978-1-7281-3012-5/19/$31.00 \c{opyright}2019 IEEE
International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), University of Bahrain, Kingdom of Bahrain, September 2019
10.1109/3ICT.2019.8910330
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Citizen records are scattered between different state organizations. It wastes time, effort, and resources for both citizen and organization to collect, maintain, and update records to fulfill citizen services. Interoperability is a key element that enables seamless collaboration between different entities. It requir...
[ { "created": "Sun, 10 May 2020 14:00:54 GMT", "version": "v1" } ]
2020-05-12
[ [ "Ghanem", "Mohammed", "" ], [ "Alsoufi", "Ali", "" ] ]
Citizen records are scattered between different state organizations. It wastes time, effort, and resources for both citizen and organization to collect, maintain, and update records to fulfill citizen services. Interoperability is a key element that enables seamless collaboration between different entities. It requires...
2006.10284
Savio Sciancalepore
Gabriele Oligeri, Savio Sciancalepore, Roberto Di Pietro
GNSS Spoofing Detection via Opportunistic IRIDIUM Signals
Accepted for the 13th Conference on Security and Privacy in Wireless and Mobile Networks (WISEC), 2020
null
10.1145/3395351.3399350
null
cs.CR eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the privately-own IRIDIUM satellite constellation, to provide a location service that is independent of the GNSS. In particular, we apply our findings to propose a new GNSS spoofing detection solution, exploiting unencrypted IRIDIUM Ring Alert (IRA) messages that are broadcast by IRIDIUM satel...
[ { "created": "Thu, 18 Jun 2020 05:34:04 GMT", "version": "v1" } ]
2020-06-20
[ [ "Oligeri", "Gabriele", "" ], [ "Sciancalepore", "Savio", "" ], [ "Di Pietro", "Roberto", "" ] ]
In this paper, we study the privately-own IRIDIUM satellite constellation, to provide a location service that is independent of the GNSS. In particular, we apply our findings to propose a new GNSS spoofing detection solution, exploiting unencrypted IRIDIUM Ring Alert (IRA) messages that are broadcast by IRIDIUM satelli...
cs/0302002
Thomas Wolf
Matthew Pratola, Thomas Wolf
Optimizing GoTools' Search Heuristics using Genetic Algorithms
23 pages, to appear in Journal of ICGA
null
null
null
cs.NE
null
GoTools is a program which solves life & death problems in the game of Go. This paper describes experiments using a Genetic Algorithm to optimize heuristic weights used by GoTools' tree-search. The complete set of heuristic weights is composed of different subgroups, each of which can be optimized with a suitable fit...
[ { "created": "Sun, 2 Feb 2003 03:30:52 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pratola", "Matthew", "" ], [ "Wolf", "Thomas", "" ] ]
GoTools is a program which solves life & death problems in the game of Go. This paper describes experiments using a Genetic Algorithm to optimize heuristic weights used by GoTools' tree-search. The complete set of heuristic weights is composed of different subgroups, each of which can be optimized with a suitable fitne...
1008.2688
Tomoyuki Yamakami
Tomoyuki Yamakami
A Dichotomy Theorem for the Approximate Counting of Complex-Weighted Bounded-Degree Boolean CSPs
A4, 10pt, 20 pages. This revised version improves its preliminary version published under a slightly different title in the Proceedings of the 4th International Conference on Combinatorial Optimization and Applications (COCOA 2010), Lecture Notes in Computer Science, Springer, Vol.6508 (Part I), pp.285--299, Ka...
(journal version) Theoretical Computer Science, Vol.447, pp.120-135, 2012
10.1007/978-3-642-17458-2_24
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We determine the computational complexity of approximately counting the total weight of variable assignments for every complex-weighted Boolean constraint satisfaction problem (or CSP) with any number of additional unary (i.e., arity 1) constraints, particularly, when degrees of input instances are bounded from above...
[ { "created": "Mon, 16 Aug 2010 15:28:04 GMT", "version": "v1" }, { "created": "Mon, 7 Mar 2011 15:56:29 GMT", "version": "v2" }, { "created": "Sun, 18 Mar 2012 07:26:41 GMT", "version": "v3" } ]
2015-05-19
[ [ "Yamakami", "Tomoyuki", "" ] ]
We determine the computational complexity of approximately counting the total weight of variable assignments for every complex-weighted Boolean constraint satisfaction problem (or CSP) with any number of additional unary (i.e., arity 1) constraints, particularly, when degrees of input instances are bounded from above b...
2304.08746
Naoto Ohsaka
Naoto Ohsaka
On Approximate Reconfigurability of Label Cover
11 pages
null
null
null
cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a two-prover game $G$ and its two satisfying labelings $\psi_\mathsf{s}$ and $\psi_\mathsf{t}$, the Label Cover Reconfiguration problem asks whether $\psi_\mathsf{s}$ can be transformed into $\psi_\mathsf{t}$ by repeatedly changing the value of a vertex while preserving any intermediate labeling satisfying $G$....
[ { "created": "Tue, 18 Apr 2023 05:48:46 GMT", "version": "v1" } ]
2023-04-19
[ [ "Ohsaka", "Naoto", "" ] ]
Given a two-prover game $G$ and its two satisfying labelings $\psi_\mathsf{s}$ and $\psi_\mathsf{t}$, the Label Cover Reconfiguration problem asks whether $\psi_\mathsf{s}$ can be transformed into $\psi_\mathsf{t}$ by repeatedly changing the value of a vertex while preserving any intermediate labeling satisfying $G$. W...
1407.4032
Arthur Milchior
Arthur Milchior
A Note on Higher Order and Variable Order Logic over Finite Models
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that descriptive complexity's result extends in High Order Logic to capture the expressivity of Turing Machine which have a finite number of alternation and whose time or space is bounded by a finite tower of exponential. Hence we have a logical characterisation of ELEMENTARY. We also consider the expressivit...
[ { "created": "Tue, 15 Jul 2014 15:58:19 GMT", "version": "v1" } ]
2014-07-16
[ [ "Milchior", "Arthur", "" ] ]
We show that descriptive complexity's result extends in High Order Logic to capture the expressivity of Turing Machine which have a finite number of alternation and whose time or space is bounded by a finite tower of exponential. Hence we have a logical characterisation of ELEMENTARY. We also consider the expressivity ...
1807.00962
Alex James Dr
Olga Krestinskaya, Alex Pappachen James, Leon O. Chua
Neuro-memristive Circuits for Edge Computing: A review
null
IEEE Transactions on Neural Networks and Learning Systems, 2019
10.1109/TNNLS.2019.2899262
null
cs.ET cs.AI cs.AR cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing capability of edge computing devices at lower power...
[ { "created": "Sun, 1 Jul 2018 04:07:23 GMT", "version": "v1" }, { "created": "Wed, 28 Nov 2018 03:55:48 GMT", "version": "v2" } ]
2019-02-19
[ [ "Krestinskaya", "Olga", "" ], [ "James", "Alex Pappachen", "" ], [ "Chua", "Leon O.", "" ] ]
The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing capability of edge computing devices at lower power r...
0904.4202
Emmanuel Lochin
Pierre-Ugo Tournoux, Emmanuel Lochin, Jerome Lacan, Amine Bouabdallah, Vincent Roca
On-the-fly erasure coding for real-time video applications
null
null
10.1109/TMM.2011.2126564
null
cs.NI cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a robust point-to-point transmission scheme: Tetrys, that relies on a novel on-the-fly erasure coding concept which reduces the delay for recovering lost data at the receiver side. In current erasure coding schemes, the packets that are not rebuilt at the receiver side are either lost or delayed...
[ { "created": "Mon, 27 Apr 2009 16:09:33 GMT", "version": "v1" }, { "created": "Wed, 17 Feb 2010 07:23:23 GMT", "version": "v2" }, { "created": "Fri, 12 Nov 2010 09:03:43 GMT", "version": "v3" }, { "created": "Tue, 16 Nov 2010 12:41:51 GMT", "version": "v4" } ]
2012-04-03
[ [ "Tournoux", "Pierre-Ugo", "" ], [ "Lochin", "Emmanuel", "" ], [ "Lacan", "Jerome", "" ], [ "Bouabdallah", "Amine", "" ], [ "Roca", "Vincent", "" ] ]
This paper introduces a robust point-to-point transmission scheme: Tetrys, that relies on a novel on-the-fly erasure coding concept which reduces the delay for recovering lost data at the receiver side. In current erasure coding schemes, the packets that are not rebuilt at the receiver side are either lost or delayed b...
2003.11789
Vitor Enes
Vitor Enes, Carlos Baquero, Tuanir Fran\c{c}a Rezende, Alexey Gotsman, Matthieu Perrin, Pierre Sutra
State-Machine Replication for Planet-Scale Systems (Extended Version)
Extended version of a EuroSys'20 paper
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online applications now routinely replicate their data at multiple sites around the world. In this paper we present Atlas, the first state-machine replication protocol tailored for such planet-scale systems. Atlas does not rely on a distinguished leader, so clients enjoy the same quality of service independently of t...
[ { "created": "Thu, 26 Mar 2020 08:24:26 GMT", "version": "v1" }, { "created": "Mon, 18 May 2020 13:19:10 GMT", "version": "v2" } ]
2020-05-19
[ [ "Enes", "Vitor", "" ], [ "Baquero", "Carlos", "" ], [ "Rezende", "Tuanir França", "" ], [ "Gotsman", "Alexey", "" ], [ "Perrin", "Matthieu", "" ], [ "Sutra", "Pierre", "" ] ]
Online applications now routinely replicate their data at multiple sites around the world. In this paper we present Atlas, the first state-machine replication protocol tailored for such planet-scale systems. Atlas does not rely on a distinguished leader, so clients enjoy the same quality of service independently of the...
1509.04624
Lingxiang Li
Lingxiang Li and Zhi Chen and Jun Fang and and Athina P. Petropulu
On the Secrecy Capacity of a MIMO Gaussian Wiretap Channel with a Cooperative Jammer
13 pages, 7 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equipped with multiple antennas. Determining the secrecy capacity in this scenario generally requires solving a nonconvex secrecy rate maximi...
[ { "created": "Tue, 15 Sep 2015 16:14:25 GMT", "version": "v1" } ]
2015-09-16
[ [ "Li", "Lingxiang", "" ], [ "Chen", "Zhi", "" ], [ "Fang", "Jun", "" ], [ "Petropulu", "and Athina P.", "" ] ]
We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equipped with multiple antennas. Determining the secrecy capacity in this scenario generally requires solving a nonconvex secrecy rate maximiza...
2306.03021
Yu-Hsuan Chen
Yu-hsuan Chen, Levent Burak Kara, Jonathan Cagan
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Incorporating style-related objectives into shape design has been centrally important to maximize product appeal. However, stylistic features such as aesthetics and semantic attributes are hard to codify even for experts. As such, algorithmic style capture and reuse have not fully benefited from automated data-driven...
[ { "created": "Mon, 5 Jun 2023 16:38:11 GMT", "version": "v1" } ]
2023-06-06
[ [ "Chen", "Yu-hsuan", "" ], [ "Kara", "Levent Burak", "" ], [ "Cagan", "Jonathan", "" ] ]
Incorporating style-related objectives into shape design has been centrally important to maximize product appeal. However, stylistic features such as aesthetics and semantic attributes are hard to codify even for experts. As such, algorithmic style capture and reuse have not fully benefited from automated data-driven m...
1901.00534
Anna Smagina Mrs
Anna Smagina, Valentina Bozhkova, Sergey Gladilin, Dmitry Nikolaev
Linear colour segmentation revisited
null
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018)
10.1117/12.2523007
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we discuss the known algorithms for linear colour segmentation based on a physical approach and propose a new modification of segmentation algorithm. This algorithm is based on a region adjacency graph framework without a pre-segmentation stage. Proposed edge weight functions are defined from linear imag...
[ { "created": "Wed, 2 Jan 2019 21:06:55 GMT", "version": "v1" } ]
2019-03-26
[ [ "Smagina", "Anna", "" ], [ "Bozhkova", "Valentina", "" ], [ "Gladilin", "Sergey", "" ], [ "Nikolaev", "Dmitry", "" ] ]
In this work we discuss the known algorithms for linear colour segmentation based on a physical approach and propose a new modification of segmentation algorithm. This algorithm is based on a region adjacency graph framework without a pre-segmentation stage. Proposed edge weight functions are defined from linear image ...
2103.04536
Medhat Elsayed
Medhat Elsayed, Melike Erol-Kantarci
AI-enabled Future Wireless Networks: Challenges, Opportunities and Open Issues
null
IEEE Vehicular Technology Magazine ( Volume: 14, Issue: 3, Sept. 2019)
10.1109/MVT.2019.2919236
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
A plethora of demanding services and use cases mandate a revolutionary shift in the management of future wireless network resources. Indeed, when tight quality of service demands of applications are combined with increased complexity of the network, legacy network management routines will become unfeasible in 6G. Art...
[ { "created": "Mon, 8 Mar 2021 03:59:41 GMT", "version": "v1" } ]
2021-03-09
[ [ "Elsayed", "Medhat", "" ], [ "Erol-Kantarci", "Melike", "" ] ]
A plethora of demanding services and use cases mandate a revolutionary shift in the management of future wireless network resources. Indeed, when tight quality of service demands of applications are combined with increased complexity of the network, legacy network management routines will become unfeasible in 6G. Artif...
1709.07472
Nicholas Rotella
Nicholas Rotella, Stefan Schaal and Ludovic Righetti
Unsupervised Contact Learning for Humanoid Estimation and Control
Submitted to the IEEE International Conference on Robotics and Automation (ICRA) 2018
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents a method for contact state estimation using fuzzy clustering to learn contact probability for full, six-dimensional humanoid contacts. The data required for training is solely from proprioceptive sensors - endeffector contact wrench sensors and inertial measurement units (IMUs) - and the method is ...
[ { "created": "Thu, 21 Sep 2017 18:23:54 GMT", "version": "v1" } ]
2017-09-25
[ [ "Rotella", "Nicholas", "" ], [ "Schaal", "Stefan", "" ], [ "Righetti", "Ludovic", "" ] ]
This work presents a method for contact state estimation using fuzzy clustering to learn contact probability for full, six-dimensional humanoid contacts. The data required for training is solely from proprioceptive sensors - endeffector contact wrench sensors and inertial measurement units (IMUs) - and the method is co...
1702.02422
Anas Al-Oraiqat Dr.
Anas M. Al-Oraiqat
Parallel implementation of a vehicle rail dynamical model for multi-core systems
8 pages, 9 Figures
International Journal of advanced studies in Computer Science and Engineering (IJASCSE) 2012
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This research presents a model of a complex dynamic object running on a multi-core system. Discretization and numerical integration for multibody models of vehicle rail elements in the vertical longitudinal plane fluctuations is considered. The implemented model and solution of the motion differential equations allow...
[ { "created": "Wed, 8 Feb 2017 13:45:50 GMT", "version": "v1" } ]
2017-02-09
[ [ "Al-Oraiqat", "Anas M.", "" ] ]
This research presents a model of a complex dynamic object running on a multi-core system. Discretization and numerical integration for multibody models of vehicle rail elements in the vertical longitudinal plane fluctuations is considered. The implemented model and solution of the motion differential equations allow e...
1006.2204
Nan Rong
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena
MDPs with Unawareness
11 pages
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision maker (DM) knows all states and actions. However, this may not be true in many situations of interest. We define a new framework, MDPs with un...
[ { "created": "Fri, 11 Jun 2010 06:18:27 GMT", "version": "v1" } ]
2010-06-14
[ [ "Halpern", "Joseph Y.", "" ], [ "Rong", "Nan", "" ], [ "Saxena", "Ashutosh", "" ] ]
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision maker (DM) knows all states and actions. However, this may not be true in many situations of interest. We define a new framework, MDPs with unaw...
2404.09814
Man Wang
Man Wang, Zheng Shi, Yunfei Li, Xianda Wu, Weiqiang Tan, and Xinrong Ye
A Novel HARQ-CC Assisted SCMA Scheme
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This letter proposes a novel hybrid automatic repeat request with chase combining assisted sparse code multiple access (HARQ-CC-SCMA) scheme. Depending on whether the same superimposed packet are retransmitted, synchronous and asynchronous modes are considered for retransmissions. Moreover, factor graph aggregation (...
[ { "created": "Mon, 15 Apr 2024 14:12:12 GMT", "version": "v1" } ]
2024-04-16
[ [ "Wang", "Man", "" ], [ "Shi", "Zheng", "" ], [ "Li", "Yunfei", "" ], [ "Wu", "Xianda", "" ], [ "Tan", "Weiqiang", "" ], [ "Ye", "Xinrong", "" ] ]
This letter proposes a novel hybrid automatic repeat request with chase combining assisted sparse code multiple access (HARQ-CC-SCMA) scheme. Depending on whether the same superimposed packet are retransmitted, synchronous and asynchronous modes are considered for retransmissions. Moreover, factor graph aggregation (FG...
1906.03532
S\'ebastien Arnold
S\'ebastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas, Nicolas Le Roux
Reducing the variance in online optimization by transporting past gradients
Open-source implementation available at: https://github.com/seba-1511/igt.pth
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most stochastic optimization methods use gradients once before discarding them. While variance reduction methods have shown that reusing past gradients can be beneficial when there is a finite number of datapoints, they do not easily extend to the online setting. One issue is the staleness due to using past gradients...
[ { "created": "Sat, 8 Jun 2019 22:02:28 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2019 17:12:22 GMT", "version": "v2" } ]
2019-06-19
[ [ "Arnold", "Sébastien M. R.", "" ], [ "Manzagol", "Pierre-Antoine", "" ], [ "Babanezhad", "Reza", "" ], [ "Mitliagkas", "Ioannis", "" ], [ "Roux", "Nicolas Le", "" ] ]
Most stochastic optimization methods use gradients once before discarding them. While variance reduction methods have shown that reusing past gradients can be beneficial when there is a finite number of datapoints, they do not easily extend to the online setting. One issue is the staleness due to using past gradients. ...
1904.05390
Joshua Brakensiek
Joshua Brakensiek and Aviad Rubinstein
Constant-factor approximation of near-linear edit distance in near-linear time
40 pages, 4 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the edit distance between two strings of length $n$ can be computed within a factor of $f(\epsilon)$ in $n^{1+\epsilon}$ time as long as the edit distance is at least $n^{1-\delta}$ for some $\delta(\epsilon) > 0$.
[ { "created": "Wed, 10 Apr 2019 18:55:56 GMT", "version": "v1" }, { "created": "Tue, 28 Jan 2020 18:54:41 GMT", "version": "v2" } ]
2020-01-29
[ [ "Brakensiek", "Joshua", "" ], [ "Rubinstein", "Aviad", "" ] ]
We show that the edit distance between two strings of length $n$ can be computed within a factor of $f(\epsilon)$ in $n^{1+\epsilon}$ time as long as the edit distance is at least $n^{1-\delta}$ for some $\delta(\epsilon) > 0$.
2303.09658
Min Hua
Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
null
null
null
null
cs.RO cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control. At the present, the existing methods usually decouple the MIMO control into singleoutp...
[ { "created": "Thu, 16 Mar 2023 21:31:55 GMT", "version": "v1" }, { "created": "Mon, 28 Aug 2023 00:36:11 GMT", "version": "v2" } ]
2023-08-29
[ [ "Hua", "Min", "" ], [ "Zhang", "Cetengfei", "" ], [ "Zhang", "Fanggang", "" ], [ "Li", "Zhi", "" ], [ "Yu", "Xiaoli", "" ], [ "Xu", "Hongming", "" ], [ "Zhou", "Quan", "" ] ]
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control. At the present, the existing methods usually decouple the MIMO control into singleoutput...
2405.06209
Corrine Yap
Aiya Kuchukova, Marcus Pappik, Will Perkins, Corrine Yap
Fast and Slow Mixing of the Kawasaki Dynamics on Bounded-Degree Graphs
null
null
null
null
cs.DS math.CO math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the worst-case mixing time of the global Kawasaki dynamics for the fixed-magnetization Ising model on the class of graphs of maximum degree $\Delta$. Proving a conjecture of Carlson, Davies, Kolla, and Perkins, we show that below the tree uniqueness threshold, the Kawasaki dynamics mix rapidly for all magnet...
[ { "created": "Fri, 10 May 2024 02:45:54 GMT", "version": "v1" } ]
2024-05-13
[ [ "Kuchukova", "Aiya", "" ], [ "Pappik", "Marcus", "" ], [ "Perkins", "Will", "" ], [ "Yap", "Corrine", "" ] ]
We study the worst-case mixing time of the global Kawasaki dynamics for the fixed-magnetization Ising model on the class of graphs of maximum degree $\Delta$. Proving a conjecture of Carlson, Davies, Kolla, and Perkins, we show that below the tree uniqueness threshold, the Kawasaki dynamics mix rapidly for all magnetiz...
1611.09564
Nhien-An Le-Khac
Muhammad Faheem, M-Tahar Kechadi, Nhien-An Le-Khac
Toward a new mobile cloud forensic framework
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smartphones have created a significant impact on the day to day activities of every individual. Now a days a wide range of Smartphone applications are available and it necessitates high computing resources in order to build these applications. Cloud computing offers enormous resources and extends services to resource...
[ { "created": "Tue, 29 Nov 2016 10:53:29 GMT", "version": "v1" } ]
2016-11-30
[ [ "Faheem", "Muhammad", "" ], [ "Kechadi", "M-Tahar", "" ], [ "Le-Khac", "Nhien-An", "" ] ]
Smartphones have created a significant impact on the day to day activities of every individual. Now a days a wide range of Smartphone applications are available and it necessitates high computing resources in order to build these applications. Cloud computing offers enormous resources and extends services to resource-c...
2101.02522
Vincent Aranega
Ronie Salgado, Marcus Denker (RMOD), St\'ephane Ducasse (RMOD), Anne Etien (RMOD), Vincent Aranega (RMOD)
Towards a Smart Data Processing and Storage Model
null
IWST20: International Workshop on Smalltalk Technologies, Sep 2020, Novi Sad, Serbia
null
null
cs.CL cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In several domains it is crucial to store and manipulate data whose origin needs to be completely traceable to guarantee the consistency, trustworthiness and reliability on the data itself typically for ethical and legal reasons. It is also important to guarantee that such properties are also carried further when suc...
[ { "created": "Thu, 7 Jan 2021 12:52:11 GMT", "version": "v1" } ]
2021-01-08
[ [ "Salgado", "Ronie", "", "RMOD" ], [ "Denker", "Marcus", "", "RMOD" ], [ "Ducasse", "Stéphane", "", "RMOD" ], [ "Etien", "Anne", "", "RMOD" ], [ "Aranega", "Vincent", "", "RMOD" ] ]
In several domains it is crucial to store and manipulate data whose origin needs to be completely traceable to guarantee the consistency, trustworthiness and reliability on the data itself typically for ethical and legal reasons. It is also important to guarantee that such properties are also carried further when such ...
2004.07699
Stefano Dafarra
Stefano Dafarra
Predictive Whole-Body Control of Humanoid Robot Locomotion
This work is a Ph.D. thesis enclosing the following articles: arXiv:1705.10638, arXiv:1807.05395, arXiv:2003.04633 and arXiv:2004.12083
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humanoid robots are machines built with an anthropomorphic shape. Despite decades of research into the subject, it is still challenging to tackle the robot locomotion problem from an algorithmic point of view. For example, these machines cannot achieve a constant forward body movement without exploiting contacts with...
[ { "created": "Thu, 16 Apr 2020 15:11:53 GMT", "version": "v1" } ]
2020-04-28
[ [ "Dafarra", "Stefano", "" ] ]
Humanoid robots are machines built with an anthropomorphic shape. Despite decades of research into the subject, it is still challenging to tackle the robot locomotion problem from an algorithmic point of view. For example, these machines cannot achieve a constant forward body movement without exploiting contacts with t...
2106.00641
Jinlan Fu
Jinlan Fu, Xuanjing Huang, Pengfei Liu
SpanNER: Named Entity Re-/Recognition as Span Prediction
Accepted by ACL 2021 (Main track)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent years have seen the paradigm shift of Named Entity Recognition (NER) systems from sequence labeling to span prediction. Despite its preliminary effectiveness, the span prediction model's architectural bias has not been fully understood. In this paper, we first investigate the strengths and weaknesses when the ...
[ { "created": "Tue, 1 Jun 2021 17:11:42 GMT", "version": "v1" }, { "created": "Sun, 6 Jun 2021 04:54:23 GMT", "version": "v2" } ]
2021-06-08
[ [ "Fu", "Jinlan", "" ], [ "Huang", "Xuanjing", "" ], [ "Liu", "Pengfei", "" ] ]
Recent years have seen the paradigm shift of Named Entity Recognition (NER) systems from sequence labeling to span prediction. Despite its preliminary effectiveness, the span prediction model's architectural bias has not been fully understood. In this paper, we first investigate the strengths and weaknesses when the sp...
2309.00811
Zhen Shang
Zhen Shang (1), Jin-Kao Hao (2), Fei Ma (1) ((1) School of Economics and Management, Chang'an University, China, (2) LERIA, Universit\'e d'Angers, Angers, France)
A double-decomposition based parallel exact algorithm for the feedback length minimization problem
This paper has been accepted by PeerJ Computer Science on August 28, 2023
null
10.7717/peerj-cs.1597
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Product development projects usually contain many interrelated activities with complex information dependences, which induce activity rework, project delay and cost overrun. To reduce negative impacts, scheduling interrelated activities in an appropriate sequence is an important issue for project managers. This study...
[ { "created": "Sat, 2 Sep 2023 03:28:59 GMT", "version": "v1" }, { "created": "Wed, 13 Sep 2023 12:49:11 GMT", "version": "v2" } ]
2023-09-14
[ [ "Shang", "Zhen", "" ], [ "Hao", "Jin-Kao", "" ], [ "Ma", "Fei", "" ] ]
Product development projects usually contain many interrelated activities with complex information dependences, which induce activity rework, project delay and cost overrun. To reduce negative impacts, scheduling interrelated activities in an appropriate sequence is an important issue for project managers. This study d...
1409.5987
Bo Li
Qizhi Fang, Bo Li, Xiaoming Sun, Jia Zhang, and Jialin Zhang
Computing the Least-core and Nucleolus for Threshold Cardinality Matching Games
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cooperative games provide a framework for fair and stable profit allocation in multi-agent systems. \emph{Core}, \emph{least-core} and \emph{nucleolus} are such solution concepts that characterize stability of cooperation. In this paper, we study the algorithmic issues on the least-core and nucleolus of threshold car...
[ { "created": "Sun, 21 Sep 2014 14:19:11 GMT", "version": "v1" } ]
2014-09-23
[ [ "Fang", "Qizhi", "" ], [ "Li", "Bo", "" ], [ "Sun", "Xiaoming", "" ], [ "Zhang", "Jia", "" ], [ "Zhang", "Jialin", "" ] ]
Cooperative games provide a framework for fair and stable profit allocation in multi-agent systems. \emph{Core}, \emph{least-core} and \emph{nucleolus} are such solution concepts that characterize stability of cooperation. In this paper, we study the algorithmic issues on the least-core and nucleolus of threshold cardi...
2402.11547
Konstantinos Ntougias
Konstantinos Ntougias, Symeon Chatzinotas, Ioannis Krikidis
Hybrid RIS With Sub-Connected Active Partitions: Performance Analysis and Transmission Design
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
The emerging reflecting intelligent surface (RIS) technology promises to enhance the capacity of wireless communication systems via passive reflect beamforming. However, the product path loss limits its performance gains. Fully-connected (FC) active RIS, which integrates reflect-type power amplifiers into the RIS ele...
[ { "created": "Sun, 18 Feb 2024 11:39:23 GMT", "version": "v1" } ]
2024-02-20
[ [ "Ntougias", "Konstantinos", "" ], [ "Chatzinotas", "Symeon", "" ], [ "Krikidis", "Ioannis", "" ] ]
The emerging reflecting intelligent surface (RIS) technology promises to enhance the capacity of wireless communication systems via passive reflect beamforming. However, the product path loss limits its performance gains. Fully-connected (FC) active RIS, which integrates reflect-type power amplifiers into the RIS eleme...
2207.08120
Amihood Amir
Ora Amir and Amihood Amir and Aviezri Fraenkel and David Sarne
On the Practical Power of Automata in Pattern Matching
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by-nc-nd/4.0/
The classical pattern matching paradigm is that of seeking occurrences of one string - the pattern, in another - the text, where both strings are drawn from an alphabet set $\Sigma$. Assuming the text length is $n$ and the pattern length is $m$, this problem can naively be solved in time $O(nm)$. In Knuth, Morris and...
[ { "created": "Sun, 17 Jul 2022 09:08:13 GMT", "version": "v1" } ]
2022-07-19
[ [ "Amir", "Ora", "" ], [ "Amir", "Amihood", "" ], [ "Fraenkel", "Aviezri", "" ], [ "Sarne", "David", "" ] ]
The classical pattern matching paradigm is that of seeking occurrences of one string - the pattern, in another - the text, where both strings are drawn from an alphabet set $\Sigma$. Assuming the text length is $n$ and the pattern length is $m$, this problem can naively be solved in time $O(nm)$. In Knuth, Morris and P...
2308.05189
Miguel-\'Angel Fern\'andez-Torres
Miguel-\'Angel Fern\'andez-Torres
Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding
PhD thesis
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
This PhD. Thesis concerns the study and development of hierarchical representations for spatio-temporal visual attention modeling and understanding in video sequences. More specifically, we propose two computational models for visual attention. First, we present a generative probabilistic model for context-aware visu...
[ { "created": "Wed, 9 Aug 2023 18:49:21 GMT", "version": "v1" } ]
2023-08-11
[ [ "Fernández-Torres", "Miguel-Ángel", "" ] ]
This PhD. Thesis concerns the study and development of hierarchical representations for spatio-temporal visual attention modeling and understanding in video sequences. More specifically, we propose two computational models for visual attention. First, we present a generative probabilistic model for context-aware visual...
1711.00549
Anjishnu Kumar
Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Bjorn Hoffmeister, Markus Dreyer, Stanislav Peshterliev, Ankur Gandhe, Denis Filiminov, Ariya Rastrow, Christian Monson and Agnika Kumar
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
Published at the 1st Workshop on Conversational AI at NIPS 2017 (NIPS-WCAI)
null
null
null
cs.CL cs.AI cs.NE cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK) a large scale Spoken Language Understanding (SLU) Software Development Kit (SDK) that enables developers to extend the capabilities of Amazon's virtual assistant, Alexa. At Amazon, the infrastructure powers o...
[ { "created": "Wed, 1 Nov 2017 22:10:11 GMT", "version": "v1" }, { "created": "Fri, 3 Nov 2017 09:19:37 GMT", "version": "v2" }, { "created": "Fri, 24 Nov 2017 00:37:00 GMT", "version": "v3" }, { "created": "Fri, 2 Mar 2018 13:58:04 GMT", "version": "v4" } ]
2018-03-05
[ [ "Kumar", "Anjishnu", "" ], [ "Gupta", "Arpit", "" ], [ "Chan", "Julian", "" ], [ "Tucker", "Sam", "" ], [ "Hoffmeister", "Bjorn", "" ], [ "Dreyer", "Markus", "" ], [ "Peshterliev", "Stanislav", "" ], [ ...
This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK) a large scale Spoken Language Understanding (SLU) Software Development Kit (SDK) that enables developers to extend the capabilities of Amazon's virtual assistant, Alexa. At Amazon, the infrastructure powers ove...
1802.04122
Yang Zhang
Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags
WWW 18
null
null
null
cs.CR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hashtag has emerged as a widely used concept of popular culture and campaigns, but its implications on people's privacy have not been investigated so far. In this paper, we present the first systematic analysis of privacy issues induced by hashtags. We concentrate in particular on location, which is recognized as one...
[ { "created": "Mon, 12 Feb 2018 15:35:48 GMT", "version": "v1" } ]
2018-02-13
[ [ "Zhang", "Yang", "" ], [ "Humbert", "Mathias", "" ], [ "Rahman", "Tahleen", "" ], [ "Li", "Cheng-Te", "" ], [ "Pang", "Jun", "" ], [ "Backes", "Michael", "" ] ]
Hashtag has emerged as a widely used concept of popular culture and campaigns, but its implications on people's privacy have not been investigated so far. In this paper, we present the first systematic analysis of privacy issues induced by hashtags. We concentrate in particular on location, which is recognized as one o...
2004.12108
Mahawaga Arachchige Pathum Chamikara
M.A.P. Chamikara, P.Bertok, I.Khalil, D.Liu, S.Camtepe
Privacy Preserving Distributed Machine Learning with Federated Learning
null
null
10.1016/j.comcom.2021.02.014
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Edge computing and distributed machine learning have advanced to a level that can revolutionize a particular organization. Distributed devices such as the Internet of Things (IoT) often produce a large amount of data, eventually resulting in big data that can be vital in uncovering hidden patterns, and other insights...
[ { "created": "Sat, 25 Apr 2020 10:51:36 GMT", "version": "v1" }, { "created": "Fri, 26 Feb 2021 02:48:00 GMT", "version": "v2" } ]
2021-03-01
[ [ "Chamikara", "M. A. P.", "" ], [ "Bertok", "P.", "" ], [ "Khalil", "I.", "" ], [ "Liu", "D.", "" ], [ "Camtepe", "S.", "" ] ]
Edge computing and distributed machine learning have advanced to a level that can revolutionize a particular organization. Distributed devices such as the Internet of Things (IoT) often produce a large amount of data, eventually resulting in big data that can be vital in uncovering hidden patterns, and other insights i...
2103.00564
Casper Benjamin Freksen
Casper Benjamin Freksen
An Introduction to Johnson-Lindenstrauss Transforms
The text was previously a main part of the introduction of my PhD thesis, but it has been adapted to be self contained and serve as a (hopefully good) starting point for readers interested in the topic
null
null
null
cs.DS cs.LG
http://creativecommons.org/licenses/by/4.0/
Johnson--Lindenstrauss Transforms are powerful tools for reducing the dimensionality of data while preserving key characteristics of that data, and they have found use in many fields from machine learning to differential privacy and more. This note explains what they are; it gives an overview of their use and their d...
[ { "created": "Sun, 28 Feb 2021 16:57:41 GMT", "version": "v1" } ]
2021-03-02
[ [ "Freksen", "Casper Benjamin", "" ] ]
Johnson--Lindenstrauss Transforms are powerful tools for reducing the dimensionality of data while preserving key characteristics of that data, and they have found use in many fields from machine learning to differential privacy and more. This note explains what they are; it gives an overview of their use and their dev...
1902.07958
Mateus Espadoto
Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea
Deep Learning Multidimensional Projections
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dimensionality reduction methods, also known as projections, are frequently used for exploring multidimensional data in machine learning, data science, and information visualization. Among these, t-SNE and its variants have become very popular for their ability to visually separate distinct data clusters. However, su...
[ { "created": "Thu, 21 Feb 2019 10:50:44 GMT", "version": "v1" } ]
2019-02-22
[ [ "Espadoto", "Mateus", "" ], [ "Hirata", "Nina S. T.", "" ], [ "Telea", "Alexandru C.", "" ] ]
Dimensionality reduction methods, also known as projections, are frequently used for exploring multidimensional data in machine learning, data science, and information visualization. Among these, t-SNE and its variants have become very popular for their ability to visually separate distinct data clusters. However, such...
2309.10195
Bo Peng
Bo Peng, Srinivasan Parthasarathy and Xia Ning
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Learning effective recommendation models from sparse user interactions represents a fundamental challenge in developing sequential recommendation methods. Recently, pre-training-based methods have been developed to tackle this challenge. Though promising, in this paper, we show that existing methods suffer from the n...
[ { "created": "Mon, 18 Sep 2023 22:54:36 GMT", "version": "v1" }, { "created": "Wed, 20 Sep 2023 13:25:49 GMT", "version": "v2" } ]
2023-09-21
[ [ "Peng", "Bo", "" ], [ "Parthasarathy", "Srinivasan", "" ], [ "Ning", "Xia", "" ] ]
Learning effective recommendation models from sparse user interactions represents a fundamental challenge in developing sequential recommendation methods. Recently, pre-training-based methods have been developed to tackle this challenge. Though promising, in this paper, we show that existing methods suffer from the not...
2211.12872
Ashesh Ashesh
Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
{\mu}Split: efficient image decomposition for microscopy data
Published at ICCV 2023. 10 pages, 7 figures, 9 pages supplement, 8 supplementary figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
We present {\mu}Split, a dedicated approach for trained image decomposition in the context of fluorescence microscopy images. We find that best results using regular deep architectures are achieved when large image patches are used during training, making memory consumption the limiting factor to further improving pe...
[ { "created": "Wed, 23 Nov 2022 11:26:24 GMT", "version": "v1" }, { "created": "Thu, 16 Mar 2023 15:19:40 GMT", "version": "v2" }, { "created": "Wed, 22 Mar 2023 10:05:15 GMT", "version": "v3" }, { "created": "Tue, 15 Aug 2023 07:48:36 GMT", "version": "v4" }, { "c...
2023-08-21
[ [ "Ashesh", "", "" ], [ "Krull", "Alexander", "" ], [ "Di Sante", "Moises", "" ], [ "Pasqualini", "Francesco Silvio", "" ], [ "Jug", "Florian", "" ] ]
We present {\mu}Split, a dedicated approach for trained image decomposition in the context of fluorescence microscopy images. We find that best results using regular deep architectures are achieved when large image patches are used during training, making memory consumption the limiting factor to further improving perf...
1603.04690
Martin Skutella
Martin Skutella
A 2.542-Approximation for Precedence Constrained Single Machine Scheduling with Release Dates and Total Weighted Completion Time Objective
null
null
null
null
cs.DM math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a $\sqrt{e}/(\sqrt{e}-1)$-approximation algorithm for the nonpreemptive scheduling problem to minimize the total weighted completion time of jobs on a single machine subject to release dates and precedence constraints. The previously best known approximation algorithm dates back to 1997; its performance gu...
[ { "created": "Tue, 15 Mar 2016 14:07:28 GMT", "version": "v1" }, { "created": "Thu, 21 Apr 2016 22:52:35 GMT", "version": "v2" } ]
2016-04-25
[ [ "Skutella", "Martin", "" ] ]
We present a $\sqrt{e}/(\sqrt{e}-1)$-approximation algorithm for the nonpreemptive scheduling problem to minimize the total weighted completion time of jobs on a single machine subject to release dates and precedence constraints. The previously best known approximation algorithm dates back to 1997; its performance guar...
1511.06654
Bing Wang
Bing Wang, Gang Wang, Kap Luk Chan and Li Wang
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2016
null
10.1109/TPAMI.2016.2551245
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking. Our proposed framework aims to exploit appearance and motion cues to prevent identity swi...
[ { "created": "Fri, 20 Nov 2015 15:48:21 GMT", "version": "v1" }, { "created": "Fri, 22 Apr 2016 03:53:35 GMT", "version": "v2" } ]
2016-04-25
[ [ "Wang", "Bing", "" ], [ "Wang", "Gang", "" ], [ "Chan", "Kap Luk", "" ], [ "Wang", "Li", "" ] ]
In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow optimization in long-term multi-person tracking. Our proposed framework aims to exploit appearance and motion cues to prevent identity switc...
1504.03413
Bhavya Kailkhura
Bhavya Kailkhura, Swastik Brahma, Pramod K. Varshney
Consensus based Detection in the Presence of Data Falsification Attacks
null
null
10.1109/TSIPN.2016.2607119
null
cs.SY cs.DC stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of detection in distributed networks in the presence of data falsification (Byzantine) attacks. Detection approaches considered in the paper are based on fully distributed consensus algorithms, where all of the nodes exchange information only with their neighbors in the absence of a f...
[ { "created": "Tue, 14 Apr 2015 03:43:05 GMT", "version": "v1" } ]
2017-09-29
[ [ "Kailkhura", "Bhavya", "" ], [ "Brahma", "Swastik", "" ], [ "Varshney", "Pramod K.", "" ] ]
This paper considers the problem of detection in distributed networks in the presence of data falsification (Byzantine) attacks. Detection approaches considered in the paper are based on fully distributed consensus algorithms, where all of the nodes exchange information only with their neighbors in the absence of a fus...
1812.09320
Antzela Kosta
Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis
The Cost of Delay in Status Updates and their Value: Non-linear Ageing
arXiv admin note: substantial text overlap with arXiv:1701.06927
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a status update communication system consisting of a source-destination link. A stochastic process is observed at the source, where samples are extracted at random time instances, and delivered to the destination, thus, providing status updates for the source. In this paper, we expand the concept of infor...
[ { "created": "Fri, 21 Dec 2018 13:37:35 GMT", "version": "v1" }, { "created": "Fri, 6 Sep 2019 12:44:23 GMT", "version": "v2" } ]
2019-09-09
[ [ "Kosta", "Antzela", "" ], [ "Pappas", "Nikolaos", "" ], [ "Ephremides", "Anthony", "" ], [ "Angelakis", "Vangelis", "" ] ]
We consider a status update communication system consisting of a source-destination link. A stochastic process is observed at the source, where samples are extracted at random time instances, and delivered to the destination, thus, providing status updates for the source. In this paper, we expand the concept of informa...
2211.08460
Laura Nicolas-S\'aenz
Laura Nicol\'as-S\'aenz, Agapito Ledezma, Javier Pascau, Arrate Mu\~noz-Barrutia
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation
Working Paper
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the respective areas. However, the development of methods able to successfully complete this task has proven challenging, mainly due to the gap between human color perception, linguistic color ...
[ { "created": "Tue, 15 Nov 2022 19:26:51 GMT", "version": "v1" } ]
2022-11-17
[ [ "Nicolás-Sáenz", "Laura", "" ], [ "Ledezma", "Agapito", "" ], [ "Pascau", "Javier", "" ], [ "Muñoz-Barrutia", "Arrate", "" ] ]
In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the respective areas. However, the development of methods able to successfully complete this task has proven challenging, mainly due to the gap between human color perception, linguistic color te...
1403.6530
L.A. Prashanth
Prashanth L.A. and Mohammad Ghavamzadeh
Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many sequential decision-making problems we may want to manage risk by minimizing some measure of variability in rewards in addition to maximizing a standard criterion. Variance related risk measures are among the most common risk-sensitive criteria in finance and operations research. However, optimizing many such...
[ { "created": "Tue, 25 Mar 2014 23:00:50 GMT", "version": "v1" }, { "created": "Wed, 18 Mar 2015 15:42:31 GMT", "version": "v2" } ]
2015-03-19
[ [ "A.", "Prashanth L.", "" ], [ "Ghavamzadeh", "Mohammad", "" ] ]
In many sequential decision-making problems we may want to manage risk by minimizing some measure of variability in rewards in addition to maximizing a standard criterion. Variance related risk measures are among the most common risk-sensitive criteria in finance and operations research. However, optimizing many such c...
1507.00644
Kevin Houston
Kevin Houston
Compressed Manifold Modes: Fast Calculation and Natural Ordering
null
null
null
null
cs.CG cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressed manifold modes are locally supported analogues of eigenfunctions of the Laplace-Beltrami operator of a manifold. In this paper we describe an algorithm for the calculation of modes for discrete manifolds that, in experiments, requires on average 47% fewer iterations and 44% less time than the previous algo...
[ { "created": "Thu, 2 Jul 2015 16:06:26 GMT", "version": "v1" }, { "created": "Mon, 13 Jul 2015 13:40:58 GMT", "version": "v2" } ]
2015-07-14
[ [ "Houston", "Kevin", "" ] ]
Compressed manifold modes are locally supported analogues of eigenfunctions of the Laplace-Beltrami operator of a manifold. In this paper we describe an algorithm for the calculation of modes for discrete manifolds that, in experiments, requires on average 47% fewer iterations and 44% less time than the previous algori...
1709.03456
Jawad Tayyub
Jawad Tayyub, Majd Hawasly, David C. Hogg and Anthony G. Cohn
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations
null
null
10.5518/249
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a novel activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions. The dataset presents a set of videos of actors performing everyday activities in a natural and unscripted manner. The dataset was recorded using a static Kinect 2...
[ { "created": "Mon, 11 Sep 2017 16:01:17 GMT", "version": "v1" }, { "created": "Thu, 21 Sep 2017 16:52:04 GMT", "version": "v2" } ]
2017-09-22
[ [ "Tayyub", "Jawad", "" ], [ "Hawasly", "Majd", "" ], [ "Hogg", "David C.", "" ], [ "Cohn", "Anthony G.", "" ] ]
This paper introduces a novel activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions. The dataset presents a set of videos of actors performing everyday activities in a natural and unscripted manner. The dataset was recorded using a static Kinect 2 s...
2102.10012
Paul Weng
Ruibin Bai and Xinan Chen and Zhi-Long Chen and Tianxiang Cui and Shuhui Gong and Wentao He and Xiaoping Jiang and Huan Jin and Jiahuan Jin and Graham Kendall and Jiawei Li and Zheng Lu and Jianfeng Ren and Paul Weng and Ning Xue and Huayan Zhang
Analytics and Machine Learning in Vehicle Routing Research
Submitted to International Journal of Production Research
null
null
null
cs.LG cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle the complexities, uncertainties and dynamics involved in real-world VRP applications, Machine Learning (ML) methods have been used in comb...
[ { "created": "Fri, 19 Feb 2021 16:26:17 GMT", "version": "v1" } ]
2021-02-22
[ [ "Bai", "Ruibin", "" ], [ "Chen", "Xinan", "" ], [ "Chen", "Zhi-Long", "" ], [ "Cui", "Tianxiang", "" ], [ "Gong", "Shuhui", "" ], [ "He", "Wentao", "" ], [ "Jiang", "Xiaoping", "" ], [ "Jin", "H...
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle the complexities, uncertainties and dynamics involved in real-world VRP applications, Machine Learning (ML) methods have been used in combin...
1711.06774
Orcun Karaca
Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
Designing Coalition-Proof Reverse Auctions over Continuous Goods
null
IEEE Transactions on Automatic Control, 64(11), 4803-4810, 2019
10.1109/TAC.2019.2908717
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates reverse auctions that involve continuous values of different types of goods, general nonconvex constraints, and second stage costs. We seek to design the payment rules and conditions under which coalitions of participants cannot influence the auction outcome in order to obtain higher collectiv...
[ { "created": "Fri, 17 Nov 2017 23:43:58 GMT", "version": "v1" }, { "created": "Thu, 28 Dec 2017 12:18:38 GMT", "version": "v2" }, { "created": "Tue, 23 Jan 2018 11:23:59 GMT", "version": "v3" }, { "created": "Thu, 6 Dec 2018 14:44:27 GMT", "version": "v4" }, { "cr...
2021-07-14
[ [ "Karaca", "Orcun", "" ], [ "Sessa", "Pier Giuseppe", "" ], [ "Walton", "Neil", "" ], [ "Kamgarpour", "Maryam", "" ] ]
This paper investigates reverse auctions that involve continuous values of different types of goods, general nonconvex constraints, and second stage costs. We seek to design the payment rules and conditions under which coalitions of participants cannot influence the auction outcome in order to obtain higher collective ...
1909.06907
Arjun Akula
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
A short version of this was presented at CVPR 2019 Workshop on Explainable AI
null
null
null
cs.AI cs.CV cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative communication process, i.e. dialog, between the machine and human user. More concretely, the machine generates sequence of explanations in ...
[ { "created": "Sun, 15 Sep 2019 23:24:32 GMT", "version": "v1" } ]
2019-09-17
[ [ "Akula", "Arjun R.", "" ], [ "Liu", "Changsong", "" ], [ "Saba-Sadiya", "Sari", "" ], [ "Lu", "Hongjing", "" ], [ "Todorovic", "Sinisa", "" ], [ "Chai", "Joyce Y.", "" ], [ "Zhu", "Song-Chun", "" ] ]
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative communication process, i.e. dialog, between the machine and human user. More concretely, the machine generates sequence of explanations in a ...
2106.07445
Carl-Johann Simon-Gabriel
Carl-Johann Simon-Gabriel and Noman Ahmed Sheikh and Andreas Krause
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
ICML'21. Code available at https://github.com/cjsg/PopSkipJump . 9 pages & 7 figures in main part, 14 pages & 10 figures in appendix
null
null
null
cs.LG cs.CR cs.CV math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most current classifiers are vulnerable to adversarial examples, small input perturbations that change the classification output. Many existing attack algorithms cover various settings, from white-box to black-box classifiers, but typically assume that the answers are deterministic and often fail when they are not. W...
[ { "created": "Mon, 14 Jun 2021 14:13:12 GMT", "version": "v1" } ]
2021-06-15
[ [ "Simon-Gabriel", "Carl-Johann", "" ], [ "Sheikh", "Noman Ahmed", "" ], [ "Krause", "Andreas", "" ] ]
Most current classifiers are vulnerable to adversarial examples, small input perturbations that change the classification output. Many existing attack algorithms cover various settings, from white-box to black-box classifiers, but typically assume that the answers are deterministic and often fail when they are not. We ...
2210.05243
Xiangbin Liu
Xiangbin Liu, Junping Du, Meiyu Liang, Ang Li
Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Technology videos contain rich multi-modal information. In cross-modal information search, the data features of different modalities cannot be compared directly, so the semantic gap between different modalities is a key problem that needs to be solved. To address the above problems, this paper proposes a novel Featur...
[ { "created": "Tue, 11 Oct 2022 08:17:31 GMT", "version": "v1" } ]
2022-10-12
[ [ "Liu", "Xiangbin", "" ], [ "Du", "Junping", "" ], [ "Liang", "Meiyu", "" ], [ "Li", "Ang", "" ] ]
Technology videos contain rich multi-modal information. In cross-modal information search, the data features of different modalities cannot be compared directly, so the semantic gap between different modalities is a key problem that needs to be solved. To address the above problems, this paper proposes a novel Feature ...
1303.3164
Uma Sawant
Uma Sawant and Soumen Chakrabarti
Features and Aggregators for Web-scale Entity Search
10 pages, 12 figures including tables
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on two research issues in entity search: scoring a document or snippet that potentially supports a candidate entity, and aggregating scores from different snippets into an entity score. Proximity scoring has been studied in IR outside the scope of entity search. However, aggregation has been hardwired except...
[ { "created": "Wed, 13 Mar 2013 14:06:49 GMT", "version": "v1" } ]
2013-03-14
[ [ "Sawant", "Uma", "" ], [ "Chakrabarti", "Soumen", "" ] ]
We focus on two research issues in entity search: scoring a document or snippet that potentially supports a candidate entity, and aggregating scores from different snippets into an entity score. Proximity scoring has been studied in IR outside the scope of entity search. However, aggregation has been hardwired except i...
2208.07624
Rosalia Tufano
Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reusing code is a common practice in software development: It helps developers speedup the implementation task while also reducing the chances of introducing bugs, given the assumption that the reused code has been tested, possibly in production. Despite these benefits, opportunities for reuse are not always in plain...
[ { "created": "Tue, 16 Aug 2022 09:20:00 GMT", "version": "v1" } ]
2022-08-17
[ [ "Tufano", "Rosalia", "" ], [ "Aghajani", "Emad", "" ], [ "Bavota", "Gabriele", "" ] ]
Reusing code is a common practice in software development: It helps developers speedup the implementation task while also reducing the chances of introducing bugs, given the assumption that the reused code has been tested, possibly in production. Despite these benefits, opportunities for reuse are not always in plain s...
1912.10558
Renuka Sindhgatta
Renuka Sindhgatta, Chun Ouyang, Catarina Moreira
Exploring Interpretability for Predictive Process Analytics
15 pages, 7 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern predictive analytics underpinned by machine learning techniques has become a key enabler to the automation of data-driven decision making. In the context of business process management, predictive analytics has been applied to making predictions about the future state of an ongoing business process instance, f...
[ { "created": "Sun, 22 Dec 2019 23:09:34 GMT", "version": "v1" }, { "created": "Mon, 30 Mar 2020 10:42:45 GMT", "version": "v2" }, { "created": "Mon, 8 Jun 2020 12:09:15 GMT", "version": "v3" } ]
2020-06-09
[ [ "Sindhgatta", "Renuka", "" ], [ "Ouyang", "Chun", "" ], [ "Moreira", "Catarina", "" ] ]
Modern predictive analytics underpinned by machine learning techniques has become a key enabler to the automation of data-driven decision making. In the context of business process management, predictive analytics has been applied to making predictions about the future state of an ongoing business process instance, for...
2406.15494
Laszlo Kish
Mehmet Yildirim, Nasir Kenarangui, Robert Balog, Laszlo B. Kish, Chanan Singh
Simple Cracking of (Noise-Based) Dynamic Watermarking in Smart Grids
Accepted for publication in Fluctuation and Noise Letters
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous research employing a conceptual approach with a digital twin has demonstrated that (noise-based) dynamic watermarking is incapable of providing unconditional security in smart electrical grid systems. However, the implementation of digital twins can be prohibitively costly or infeasible due to limited availa...
[ { "created": "Tue, 18 Jun 2024 23:24:22 GMT", "version": "v1" }, { "created": "Thu, 27 Jun 2024 08:29:40 GMT", "version": "v2" } ]
2024-06-28
[ [ "Yildirim", "Mehmet", "" ], [ "Kenarangui", "Nasir", "" ], [ "Balog", "Robert", "" ], [ "Kish", "Laszlo B.", "" ], [ "Singh", "Chanan", "" ] ]
Previous research employing a conceptual approach with a digital twin has demonstrated that (noise-based) dynamic watermarking is incapable of providing unconditional security in smart electrical grid systems. However, the implementation of digital twins can be prohibitively costly or infeasible due to limited availabl...
2303.15940
Gege Qi
Qi Gege and Yuefeng Chen and Xiaofeng Mao and Yao Zhu and Binyuan Hui and Xiaodan Li and Rong Zhang and Hui Xue
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a transfer-based attack against Automatic Speech Recognition (ASR) systems, attacks are unable to access the architecture and parameters of the target model. Existing attack methods are mostly investigated in voice assistant scenarios with restricted voice commands, prohibiting their applicability to more general ...
[ { "created": "Tue, 28 Mar 2023 12:53:02 GMT", "version": "v1" } ]
2023-03-29
[ [ "Gege", "Qi", "" ], [ "Chen", "Yuefeng", "" ], [ "Mao", "Xiaofeng", "" ], [ "Zhu", "Yao", "" ], [ "Hui", "Binyuan", "" ], [ "Li", "Xiaodan", "" ], [ "Zhang", "Rong", "" ], [ "Xue", "Hui", ""...
In a transfer-based attack against Automatic Speech Recognition (ASR) systems, attacks are unable to access the architecture and parameters of the target model. Existing attack methods are mostly investigated in voice assistant scenarios with restricted voice commands, prohibiting their applicability to more general AS...
0908.3361
Gene Golovchinsky
Laurent Denoue, Scott Carter, John Adcock, Gene Golovchinsky, and Andreas Girgensohn
WebNC: efficient sharing of web applications
Presented at WWW 2009, Madrid, Spain
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
WebNC is a system for efficiently sharing, retrieving and viewing web applications. Unlike existing screencasting and screensharing tools, WebNC is optimized to work with web pages where a lot of scrolling happens. WebNC uses a tile-based encoding to capture, transmit and deliver web applications, and relies only on ...
[ { "created": "Mon, 24 Aug 2009 05:34:57 GMT", "version": "v1" } ]
2009-08-25
[ [ "Denoue", "Laurent", "" ], [ "Carter", "Scott", "" ], [ "Adcock", "John", "" ], [ "Golovchinsky", "Gene", "" ], [ "Girgensohn", "Andreas", "" ] ]
WebNC is a system for efficiently sharing, retrieving and viewing web applications. Unlike existing screencasting and screensharing tools, WebNC is optimized to work with web pages where a lot of scrolling happens. WebNC uses a tile-based encoding to capture, transmit and deliver web applications, and relies only on dy...
1503.07551
Helio M. de Oliveira
P. Carrion, H.M. de Oliveira and R.M. Campello de Souza
A Low-throughput Wavelet-based Steganography Audio Scheme
2 pages, 1 figure, conference: 8th Brazilian Symposium on Information and Computer System Security, 2008, Gramado, RS, Brazil
null
null
null
cs.MM cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the preliminary of a novel scheme of steganography, and introduces the idea of combining two secret keys in the operation. The first secret key encrypts the text using a standard cryptographic scheme (e.g. IDEA, SAFER+, etc.) prior to the wavelet audio decomposition. The way in which the cipher te...
[ { "created": "Thu, 5 Feb 2015 03:15:25 GMT", "version": "v1" } ]
2015-03-27
[ [ "Carrion", "P.", "" ], [ "de Oliveira", "H. M.", "" ], [ "de Souza", "R. M. Campello", "" ] ]
This paper presents the preliminary of a novel scheme of steganography, and introduces the idea of combining two secret keys in the operation. The first secret key encrypts the text using a standard cryptographic scheme (e.g. IDEA, SAFER+, etc.) prior to the wavelet audio decomposition. The way in which the cipher text...
2307.09683
Qiao Jin
Qiao Jin, Robert Leaman, Zhiyong Lu
PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
27 pages, 6 figures, 36 tools
eBioMedicine, 2024
10.1016/j.ebiom.2024.104988
null
cs.IR cs.AI cs.DL
http://creativecommons.org/licenses/by/4.0/
Biomedical research yields a wealth of information, much of which is only accessible through the literature. Consequently, literature search is an essential tool for building on prior knowledge in clinical and biomedical research. Although recent improvements in artificial intelligence have expanded functionality bey...
[ { "created": "Tue, 18 Jul 2023 23:35:53 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2023 15:41:03 GMT", "version": "v2" }, { "created": "Thu, 21 Sep 2023 13:55:48 GMT", "version": "v3" } ]
2024-04-10
[ [ "Jin", "Qiao", "" ], [ "Leaman", "Robert", "" ], [ "Lu", "Zhiyong", "" ] ]
Biomedical research yields a wealth of information, much of which is only accessible through the literature. Consequently, literature search is an essential tool for building on prior knowledge in clinical and biomedical research. Although recent improvements in artificial intelligence have expanded functionality beyon...
2311.07329
Huanyu Wu
Huanyu Wu, Chentao Yue, Lei Zhang, Yonghui Li, and Muhammad Ali Imran
When Distributed Consensus Meets Wireless Connected Autonomous Systems: A Review and A DAG-based Approach
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The connected and autonomous systems (CAS) and auto-driving era is coming into our life. To support CAS applications such as AI-driven decision-making and blockchain-based smart data management platform, data and message exchange/dissemination is a fundamental element. The distributed message broadcast and forward pr...
[ { "created": "Mon, 13 Nov 2023 13:31:53 GMT", "version": "v1" } ]
2023-11-14
[ [ "Wu", "Huanyu", "" ], [ "Yue", "Chentao", "" ], [ "Zhang", "Lei", "" ], [ "Li", "Yonghui", "" ], [ "Imran", "Muhammad Ali", "" ] ]
The connected and autonomous systems (CAS) and auto-driving era is coming into our life. To support CAS applications such as AI-driven decision-making and blockchain-based smart data management platform, data and message exchange/dissemination is a fundamental element. The distributed message broadcast and forward prot...