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1909.08092
Hooman Alavizadeh
Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense
36 pages, 15 figures
null
null
null
cs.NI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reactive defense mechanisms, such as intrusion detection systems, have made significant efforts to secure a system or network for the last several decades. However, the nature of reactive security mechanisms has limitations because potential attackers cannot be prevented in advance. We are facing a reality with the p...
[ { "created": "Thu, 12 Sep 2019 14:14:01 GMT", "version": "v1" } ]
2019-09-19
[ [ "Cho", "Jin-Hee", "" ], [ "Sharma", "Dilli P.", "" ], [ "Alavizadeh", "Hooman", "" ], [ "Yoon", "Seunghyun", "" ], [ "Ben-Asher", "Noam", "" ], [ "Moore", "Terrence J.", "" ], [ "Kim", "Dong Seong", "" ],...
Reactive defense mechanisms, such as intrusion detection systems, have made significant efforts to secure a system or network for the last several decades. However, the nature of reactive security mechanisms has limitations because potential attackers cannot be prevented in advance. We are facing a reality with the pro...
2101.00235
Yuting Zhan
Yuting Zhan, Hamed Haddadi
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart home solutions increasingly rely on a variety of sensors for behavioral analytics and activity recognition to provide context-aware applications and personalized care. Optimizing the sensor network is one of the most important approaches to ensure classification accuracy and the system's efficiency. However, th...
[ { "created": "Fri, 1 Jan 2021 13:53:36 GMT", "version": "v1" } ]
2021-01-05
[ [ "Zhan", "Yuting", "" ], [ "Haddadi", "Hamed", "" ] ]
Smart home solutions increasingly rely on a variety of sensors for behavioral analytics and activity recognition to provide context-aware applications and personalized care. Optimizing the sensor network is one of the most important approaches to ensure classification accuracy and the system's efficiency. However, the ...
2202.11857
Bastien Rivier
Arun Kumar Das, Sandip Das, Guilherme D. da Fonseca, Yan Gerard, Bastien Rivier
Complexity Results on Untangling Red-Blue Matchings
28 pages, 27 figures, accepted at EuroCG 2022, at CORE 2022 (ICALP Workshop), at LATIN 2022, and at CGTA 2022 (EuroCG 2022 special issue)
null
null
null
cs.CG
http://creativecommons.org/licenses/by/4.0/
Given a matching between n red points and n blue points by line segments in the plane, we consider the problem of obtaining a crossing-free matching through flip operations that replace two crossing segments by two non-crossing ones. We first show that (i) it is NP-hard to alpha-approximate the shortest flip sequence...
[ { "created": "Thu, 24 Feb 2022 01:31:32 GMT", "version": "v1" }, { "created": "Sun, 13 Mar 2022 18:10:31 GMT", "version": "v2" }, { "created": "Sat, 4 Jun 2022 21:57:14 GMT", "version": "v3" }, { "created": "Mon, 15 Aug 2022 17:29:35 GMT", "version": "v4" }, { "cr...
2022-11-24
[ [ "Das", "Arun Kumar", "" ], [ "Das", "Sandip", "" ], [ "da Fonseca", "Guilherme D.", "" ], [ "Gerard", "Yan", "" ], [ "Rivier", "Bastien", "" ] ]
Given a matching between n red points and n blue points by line segments in the plane, we consider the problem of obtaining a crossing-free matching through flip operations that replace two crossing segments by two non-crossing ones. We first show that (i) it is NP-hard to alpha-approximate the shortest flip sequence, ...
1509.05137
Juan Liu
Juan Liu, Wei Chen, and Khaled B. Letaief
Joint Channel and Queue Aware Scheduling for Wireless Links with Multiple Fading States
conference version
null
null
null
cs.IT cs.PF math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constr...
[ { "created": "Thu, 17 Sep 2015 06:05:45 GMT", "version": "v1" } ]
2015-09-18
[ [ "Liu", "Juan", "" ], [ "Chen", "Wei", "" ], [ "Letaief", "Khaled B.", "" ] ]
In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constrai...
1902.03940
Yury Dvorkin
Jip Kim and Yury Dvorkin
A P2P-dominant Distribution System Architecture
null
null
10.1109/TPWRS.2019.2961330
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Peer-to-peer interactions between small-scale energy resources exploit distribution network infrastructure as an electricity carrier, but remain financially unaccountable to electric power utilities. This status-quo raises multiple challenges. First, peer-to-peer energy trading reduces the portion of electricity supp...
[ { "created": "Mon, 11 Feb 2019 15:19:24 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2019 14:05:44 GMT", "version": "v2" }, { "created": "Wed, 23 Oct 2019 19:45:23 GMT", "version": "v3" }, { "created": "Fri, 20 Dec 2019 16:35:51 GMT", "version": "v4" } ]
2019-12-23
[ [ "Kim", "Jip", "" ], [ "Dvorkin", "Yury", "" ] ]
Peer-to-peer interactions between small-scale energy resources exploit distribution network infrastructure as an electricity carrier, but remain financially unaccountable to electric power utilities. This status-quo raises multiple challenges. First, peer-to-peer energy trading reduces the portion of electricity suppli...
1410.3506
Hiroki Sayama
Hiroki Sayama and Roberta Sinatra
Social Diffusion and Global Drift on Networks
7 pages, 3 figures; to appear in Phys. Rev. E
Physical Review E, 91, 032809, 2015
10.1103/PhysRevE.91.032809
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a mathematical model of social diffusion on a symmetric weighted network where individual nodes' states gradually assimilate to local social norms made by their neighbors' average states. Unlike physical diffusion, this process is not state conservational and thus the global state of the network (i.e., sum o...
[ { "created": "Mon, 13 Oct 2014 20:28:17 GMT", "version": "v1" }, { "created": "Wed, 4 Mar 2015 22:19:35 GMT", "version": "v2" } ]
2017-05-29
[ [ "Sayama", "Hiroki", "" ], [ "Sinatra", "Roberta", "" ] ]
We study a mathematical model of social diffusion on a symmetric weighted network where individual nodes' states gradually assimilate to local social norms made by their neighbors' average states. Unlike physical diffusion, this process is not state conservational and thus the global state of the network (i.e., sum of ...
2202.07167
Miguel A. Mosteiro
Dariusz R. Kowalski and Miguel A. Mosteiro
Efficient Distributed Computations in Anonymous Dynamic Congested Systems with Opportunistic Connectivity
28 pages
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
In this work we address the question of efficiency of distributed computing in anonymous, congested and highly dynamic and not-always-connected networks/systems. More precisely, the system consists of an unknown number of anonymous nodes with congestion on links and local computation. Links can change arbitrarily fro...
[ { "created": "Tue, 15 Feb 2022 03:32:16 GMT", "version": "v1" } ]
2022-02-16
[ [ "Kowalski", "Dariusz R.", "" ], [ "Mosteiro", "Miguel A.", "" ] ]
In this work we address the question of efficiency of distributed computing in anonymous, congested and highly dynamic and not-always-connected networks/systems. More precisely, the system consists of an unknown number of anonymous nodes with congestion on links and local computation. Links can change arbitrarily from ...
2310.07786
Zheqing Zhu
Zheqing Zhu, Yueyang Liu, Xu Kuang, Benjamin Van Roy
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling
null
null
null
null
cs.LG cs.IR
http://creativecommons.org/licenses/by/4.0/
Real-world applications of contextual bandits often exhibit non-stationarity due to seasonality, serendipity, and evolving social trends. While a number of non-stationary contextual bandit learning algorithms have been proposed in the literature, they excessively explore due to a lack of prioritization for informatio...
[ { "created": "Wed, 11 Oct 2023 18:15:55 GMT", "version": "v1" }, { "created": "Sat, 14 Oct 2023 20:10:12 GMT", "version": "v2" } ]
2023-10-17
[ [ "Zhu", "Zheqing", "" ], [ "Liu", "Yueyang", "" ], [ "Kuang", "Xu", "" ], [ "Van Roy", "Benjamin", "" ] ]
Real-world applications of contextual bandits often exhibit non-stationarity due to seasonality, serendipity, and evolving social trends. While a number of non-stationary contextual bandit learning algorithms have been proposed in the literature, they excessively explore due to a lack of prioritization for information ...
1906.05194
Todd Murphey
Ian Abraham and Todd D. Murphey
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators
14 pages, In Press
IEEE Transactions on Robotics, 2019
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an active learning strategy for robotic systems that takes into account task information, enables fast learning, and allows control to be readily synthesized by taking advantage of the Koopman operator representation. We first motivate the use of representing nonlinear systems as linear Koopman op...
[ { "created": "Wed, 12 Jun 2019 15:07:12 GMT", "version": "v1" } ]
2019-06-13
[ [ "Abraham", "Ian", "" ], [ "Murphey", "Todd D.", "" ] ]
This paper presents an active learning strategy for robotic systems that takes into account task information, enables fast learning, and allows control to be readily synthesized by taking advantage of the Koopman operator representation. We first motivate the use of representing nonlinear systems as linear Koopman oper...
2204.10422
Giuseppe Abrami
Giuseppe Abrami, Mevl\"ut Bagci, Leon Hammerla, Alexander Mehler
German Parliamentary Corpus (GerParCor)
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly accessible and annotated corpora covering all German-speaking parliaments at the national and federal level. To address this gap, we introduc...
[ { "created": "Thu, 21 Apr 2022 22:06:55 GMT", "version": "v1" } ]
2022-04-25
[ [ "Abrami", "Giuseppe", "" ], [ "Bagci", "Mevlüt", "" ], [ "Hammerla", "Leon", "" ], [ "Mehler", "Alexander", "" ] ]
Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts. In the German-speaking area, there is a certain deficit of uniformly accessible and annotated corpora covering all German-speaking parliaments at the national and federal level. To address this gap, we introduce ...
1803.10358
Ervin Teng
Ervin Teng, Rui Huang, Bob Iannucci
ClickBAIT-v2: Training an Object Detector in Real-Time
8 pages, 13 figures. For ClickBAIT-v1, see arXiv:1709.05021
null
null
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern deep convolutional neural networks (CNNs) for image classification and object detection are often trained offline on large static datasets. Some applications, however, will require training in real-time on live video streams with a human-in-the-loop. We refer to this class of problem as time-ordered online tra...
[ { "created": "Tue, 27 Mar 2018 23:30:08 GMT", "version": "v1" } ]
2018-03-29
[ [ "Teng", "Ervin", "" ], [ "Huang", "Rui", "" ], [ "Iannucci", "Bob", "" ] ]
Modern deep convolutional neural networks (CNNs) for image classification and object detection are often trained offline on large static datasets. Some applications, however, will require training in real-time on live video streams with a human-in-the-loop. We refer to this class of problem as time-ordered online train...
1407.3636
Ana Mestrovic
Sabina \v{S}i\v{s}ovi\'c, Sanda Martin\v{c}i\'c-Ip\v{s}i\'c and Ana Me\v{s}trovi\'c
Toward Network-based Keyword Extraction from Multitopic Web Documents
10 pages
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we analyse the selectivity measure calculated from the complex network in the task of the automatic keyword extraction. Texts, collected from different web sources (portals, forums), are represented as directed and weighted co-occurrence complex networks of words. Words are nodes and links are establish...
[ { "created": "Mon, 14 Jul 2014 13:22:36 GMT", "version": "v1" } ]
2014-07-15
[ [ "Šišović", "Sabina", "" ], [ "Martinčić-Ipšić", "Sanda", "" ], [ "Meštrović", "Ana", "" ] ]
In this paper we analyse the selectivity measure calculated from the complex network in the task of the automatic keyword extraction. Texts, collected from different web sources (portals, forums), are represented as directed and weighted co-occurrence complex networks of words. Words are nodes and links are established...
1902.06965
Dmitry Ivanov
Dmitry Ivanov
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning
Implementation of DEDPUL and experimental data are available at https://github.com/dimonenka/DEDPUL
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Positive-Unlabeled (PU) learning is an analog to supervised binary classification for the case when only the positive sample is clean, while the negative sample is contaminated with latent instances of positive class and hence can be considered as an unlabeled mixture. The objectives are to classify the unlabeled sam...
[ { "created": "Tue, 19 Feb 2019 09:30:53 GMT", "version": "v1" }, { "created": "Wed, 13 Mar 2019 11:49:03 GMT", "version": "v2" }, { "created": "Mon, 27 May 2019 14:55:22 GMT", "version": "v3" }, { "created": "Thu, 21 Nov 2019 00:11:21 GMT", "version": "v4" }, { "c...
2020-06-09
[ [ "Ivanov", "Dmitry", "" ] ]
Positive-Unlabeled (PU) learning is an analog to supervised binary classification for the case when only the positive sample is clean, while the negative sample is contaminated with latent instances of positive class and hence can be considered as an unlabeled mixture. The objectives are to classify the unlabeled sampl...
1803.03576
Shweta Bhatt
Shweta Bhatt, Sagar Joglekar, Shehar Bano, Nishanth Sastry
Illuminating an Ecosystem of Partisan Websites
Published at The Web Conference 2018 (WWW 2018). Please cite the WWW version
null
10.1145/3184558.3188725
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
This paper aims to shed light on alternative news media ecosystems that are believed to have influenced opinions and beliefs by false and/or biased news reporting during the 2016 US Presidential Elections. We examine a large, professionally curated list of 668 hyper-partisan websites and their corresponding Facebook ...
[ { "created": "Fri, 9 Mar 2018 15:48:00 GMT", "version": "v1" } ]
2018-03-12
[ [ "Bhatt", "Shweta", "" ], [ "Joglekar", "Sagar", "" ], [ "Bano", "Shehar", "" ], [ "Sastry", "Nishanth", "" ] ]
This paper aims to shed light on alternative news media ecosystems that are believed to have influenced opinions and beliefs by false and/or biased news reporting during the 2016 US Presidential Elections. We examine a large, professionally curated list of 668 hyper-partisan websites and their corresponding Facebook pa...
1611.07485
Qiangui Huang
Qiangui Huang, Weiyue Wang, Kevin Zhou, Suya You, Ulrich Neumann
Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning
updated version 2
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recurrent neural network (RNN), as a powerful contextual dependency modeling framework, has been widely applied to scene labeling problems. However, this work shows that directly applying traditional RNN architectures, which unfolds a 2D lattice grid into a sequence, is not sufficient to model structure dependencies ...
[ { "created": "Tue, 22 Nov 2016 19:43:24 GMT", "version": "v1" }, { "created": "Tue, 28 Mar 2017 05:12:44 GMT", "version": "v2" } ]
2017-03-29
[ [ "Huang", "Qiangui", "" ], [ "Wang", "Weiyue", "" ], [ "Zhou", "Kevin", "" ], [ "You", "Suya", "" ], [ "Neumann", "Ulrich", "" ] ]
Recurrent neural network (RNN), as a powerful contextual dependency modeling framework, has been widely applied to scene labeling problems. However, this work shows that directly applying traditional RNN architectures, which unfolds a 2D lattice grid into a sequence, is not sufficient to model structure dependencies in...
2207.07797
Lei Hsiung
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
CARBEN: Composite Adversarial Robustness Benchmark
IJCAI 2022 Demo Track; The demonstration is at https://hsiung.cc/CARBEN/
null
null
null
cs.CV cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e.g., perturbations bounded in Lp ball. However, multiple threat models can be combined into composite perturbations. One such approach, composite adversarial attack (CAA), not only expands...
[ { "created": "Sat, 16 Jul 2022 01:08:44 GMT", "version": "v1" } ]
2022-07-19
[ [ "Hsiung", "Lei", "" ], [ "Tsai", "Yun-Yun", "" ], [ "Chen", "Pin-Yu", "" ], [ "Ho", "Tsung-Yi", "" ] ]
Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e.g., perturbations bounded in Lp ball. However, multiple threat models can be combined into composite perturbations. One such approach, composite adversarial attack (CAA), not only expands t...
2307.08493
Yixi Cai
Yixi Cai, Fanze Kong, Yunfan Ren, Fangcheng Zhu, Jiarong Lin, Fu Zhang
Occupancy Grid Mapping without Ray-Casting for High-resolution LiDAR Sensors
Supplementary material included. Accepted for publication in IEEE Transactions on Robotics (T-RO)
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mapping framework for high-resolution LiDAR sensors, termed D-Map. The framework introduces three main novelties to address the computational e...
[ { "created": "Mon, 17 Jul 2023 13:56:28 GMT", "version": "v1" }, { "created": "Thu, 5 Oct 2023 09:16:44 GMT", "version": "v2" } ]
2023-10-06
[ [ "Cai", "Yixi", "" ], [ "Kong", "Fanze", "" ], [ "Ren", "Yunfan", "" ], [ "Zhu", "Fangcheng", "" ], [ "Lin", "Jiarong", "" ], [ "Zhang", "Fu", "" ] ]
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mapping framework for high-resolution LiDAR sensors, termed D-Map. The framework introduces three main novelties to address the computational eff...
2103.11169
Jogendra Nath Kundu
Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
NeurIPS 2020. Project page: https://sites.google.com/view/simpal
null
null
null
cs.LG cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Multi-Source Domain Adaptation (MSDA) deals with the transfer of task knowledge from multiple labeled source domains to an unlabeled target domain, under a domain-shift. Existing methods aim to minimize this domain-shift using auxiliary distribution alignment objectives. In this work, we present a different perspecti...
[ { "created": "Sat, 20 Mar 2021 12:44:13 GMT", "version": "v1" } ]
2021-03-23
[ [ "Venkat", "Naveen", "" ], [ "Kundu", "Jogendra Nath", "" ], [ "Singh", "Durgesh Kumar", "" ], [ "Revanur", "Ambareesh", "" ], [ "Babu", "R. Venkatesh", "" ] ]
Multi-Source Domain Adaptation (MSDA) deals with the transfer of task knowledge from multiple labeled source domains to an unlabeled target domain, under a domain-shift. Existing methods aim to minimize this domain-shift using auxiliary distribution alignment objectives. In this work, we present a different perspective...
2301.01113
Thanh Le-Cong Le-Cong Thanh
Thanh Le-Cong, Duc-Minh Luong, Xuan Bach D. Le, David Lo, Nhat-Hoa Tran, Bui Quang-Huy and Quyet-Thang Huynh
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
null
IEEE Transactions on Software Engineering, 2023
10.1109/TSE.2023.3255177
null
cs.SE cs.LG
http://creativecommons.org/licenses/by/4.0/
Automated program repair (APR) faces the challenge of test overfitting, where generated patches pass validation tests but fail to generalize. Existing methods for patch assessment involve generating new tests or manual inspection, which can be time-consuming or biased. In this paper, we propose a novel technique, INV...
[ { "created": "Tue, 3 Jan 2023 14:16:32 GMT", "version": "v1" }, { "created": "Fri, 17 Mar 2023 10:56:58 GMT", "version": "v2" } ]
2023-03-20
[ [ "Le-Cong", "Thanh", "" ], [ "Luong", "Duc-Minh", "" ], [ "Le", "Xuan Bach D.", "" ], [ "Lo", "David", "" ], [ "Tran", "Nhat-Hoa", "" ], [ "Quang-Huy", "Bui", "" ], [ "Huynh", "Quyet-Thang", "" ] ]
Automated program repair (APR) faces the challenge of test overfitting, where generated patches pass validation tests but fail to generalize. Existing methods for patch assessment involve generating new tests or manual inspection, which can be time-consuming or biased. In this paper, we propose a novel technique, INVAL...
2108.04990
Sanchit Sinha
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP-BlackboxNLP, 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Interpretability methods like Integrated Gradient and LIME are popular choices for explaining natural language model predictions with relative word importance scores. These interpretations need to be robust for trustworthy NLP applications in high-stake areas like medicine or finance. Our paper demonstrates how inter...
[ { "created": "Wed, 11 Aug 2021 02:07:21 GMT", "version": "v1" }, { "created": "Wed, 15 Sep 2021 17:07:24 GMT", "version": "v2" } ]
2021-09-16
[ [ "Sinha", "Sanchit", "" ], [ "Chen", "Hanjie", "" ], [ "Sekhon", "Arshdeep", "" ], [ "Ji", "Yangfeng", "" ], [ "Qi", "Yanjun", "" ] ]
Interpretability methods like Integrated Gradient and LIME are popular choices for explaining natural language model predictions with relative word importance scores. These interpretations need to be robust for trustworthy NLP applications in high-stake areas like medicine or finance. Our paper demonstrates how interpr...
2309.10977
Jayaraman J. Thiagarajan
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi, Rushil Anirudh
PAGER: A Framework for Failure Analysis of Deep Regression Models
Published at ICML 2024
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safe deployment of AI models requires proactive detection of failures to prevent costly errors. To this end, we study the important problem of detecting failures in deep regression models. Existing approaches rely on epistemic uncertainty estimates or inconsistency w.r.t the training data to identify failure. Interes...
[ { "created": "Wed, 20 Sep 2023 00:37:35 GMT", "version": "v1" }, { "created": "Sat, 1 Jun 2024 18:55:12 GMT", "version": "v2" } ]
2024-06-04
[ [ "Thiagarajan", "Jayaraman J.", "" ], [ "Narayanaswamy", "Vivek", "" ], [ "Trivedi", "Puja", "" ], [ "Anirudh", "Rushil", "" ] ]
Safe deployment of AI models requires proactive detection of failures to prevent costly errors. To this end, we study the important problem of detecting failures in deep regression models. Existing approaches rely on epistemic uncertainty estimates or inconsistency w.r.t the training data to identify failure. Interesti...
2402.03610
Tomoyuki Kagaya
Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou, Jayashree Karlekar, Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick, Yang You
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
null
null
null
null
cs.LG cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Owing to recent advancements, Large Language Models (LLMs) can now be deployed as agents for increasingly complex decision-making applications in areas including robotics, gaming, and API integration. However, reflecting past experiences in current decision-making processes, an innate human behavior, continues to pos...
[ { "created": "Tue, 6 Feb 2024 00:53:27 GMT", "version": "v1" } ]
2024-02-07
[ [ "Kagaya", "Tomoyuki", "" ], [ "Yuan", "Thong Jing", "" ], [ "Lou", "Yuxuan", "" ], [ "Karlekar", "Jayashree", "" ], [ "Pranata", "Sugiri", "" ], [ "Kinose", "Akira", "" ], [ "Oguri", "Koki", "" ], [ ...
Owing to recent advancements, Large Language Models (LLMs) can now be deployed as agents for increasingly complex decision-making applications in areas including robotics, gaming, and API integration. However, reflecting past experiences in current decision-making processes, an innate human behavior, continues to pose ...
1910.07910
Matthias Naaf
Katrin M. Dannert, Erich Gr\"adel, Matthias Naaf, Val Tannen
Generalized Absorptive Polynomials and Provenance Semantics for Fixed-Point Logic
null
null
null
null
cs.LO cs.DB math.LO
http://creativecommons.org/publicdomain/zero/1.0/
Semiring provenance is a successful approach to provide detailed information on the combinations of atomic facts that are responsible for the result of a query. In particular, interpretations in general provenance semirings of polynomials or formal power series give precise descriptions of the successful evaluation s...
[ { "created": "Thu, 17 Oct 2019 13:44:37 GMT", "version": "v1" }, { "created": "Thu, 6 Feb 2020 15:55:33 GMT", "version": "v2" }, { "created": "Fri, 10 Jul 2020 10:11:57 GMT", "version": "v3" } ]
2020-07-13
[ [ "Dannert", "Katrin M.", "" ], [ "Grädel", "Erich", "" ], [ "Naaf", "Matthias", "" ], [ "Tannen", "Val", "" ] ]
Semiring provenance is a successful approach to provide detailed information on the combinations of atomic facts that are responsible for the result of a query. In particular, interpretations in general provenance semirings of polynomials or formal power series give precise descriptions of the successful evaluation str...
2311.06579
Jiaxin Zhang
Jiaxin Zhang, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong
Five-Tiered Route Planner for Multi-AUV Accessing Fixed Nodes in Uncertain Ocean Environments
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article introduces a five-tiered route planner for accessing multiple nodes with multiple autonomous underwater vehicles (AUVs) that enables efficient task completion in stochastic ocean environments. First, the pre-planning tier solves the single-AUV routing problem to find the optimal giant route (GR), estimat...
[ { "created": "Sat, 11 Nov 2023 14:19:43 GMT", "version": "v1" } ]
2023-11-14
[ [ "Zhang", "Jiaxin", "" ], [ "Liu", "Meiqin", "" ], [ "Zhang", "Senlin", "" ], [ "Zheng", "Ronghao", "" ], [ "Dong", "Shanling", "" ] ]
This article introduces a five-tiered route planner for accessing multiple nodes with multiple autonomous underwater vehicles (AUVs) that enables efficient task completion in stochastic ocean environments. First, the pre-planning tier solves the single-AUV routing problem to find the optimal giant route (GR), estimates...
2312.00823
Zongqian Wu
Zongqian Wu, Yujing Liu, Mengmeng Zhan, Jialie Shen, Ping Hu, Xiaofeng Zhu
Adaptive Multi-Modality Prompt Learning
null
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although current prompt learning methods have successfully been designed to effectively reuse the large pre-trained models without fine-tuning their large number of parameters, they still have limitations to be addressed, i.e., without considering the adverse impact of meaningless patches in every image and without s...
[ { "created": "Thu, 30 Nov 2023 12:10:22 GMT", "version": "v1" } ]
2023-12-05
[ [ "Wu", "Zongqian", "" ], [ "Liu", "Yujing", "" ], [ "Zhan", "Mengmeng", "" ], [ "Shen", "Jialie", "" ], [ "Hu", "Ping", "" ], [ "Zhu", "Xiaofeng", "" ] ]
Although current prompt learning methods have successfully been designed to effectively reuse the large pre-trained models without fine-tuning their large number of parameters, they still have limitations to be addressed, i.e., without considering the adverse impact of meaningless patches in every image and without sim...
2402.14380
Changsong Pang
Changsong Pang, Xieyuanli Chen, Yimin Liu, Huimin Lu, Yuwei Cheng
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
Accepted at AAAI-24
Proceedings of the AAAI Conference on Artificial Intelligence.38(2024)4424-4432
10.1609/aaai.v38i5.28240
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Moving object segmentation (MOS) and Ego velocity estimation (EVE) are vital capabilities for mobile systems to achieve full autonomy. Several approaches have attempted to achieve MOSEVE using a LiDAR sensor. However, LiDAR sensors are typically expensive and susceptible to adverse weather conditions. Instead, millim...
[ { "created": "Thu, 22 Feb 2024 08:48:59 GMT", "version": "v1" } ]
2024-05-22
[ [ "Pang", "Changsong", "" ], [ "Chen", "Xieyuanli", "" ], [ "Liu", "Yimin", "" ], [ "Lu", "Huimin", "" ], [ "Cheng", "Yuwei", "" ] ]
Moving object segmentation (MOS) and Ego velocity estimation (EVE) are vital capabilities for mobile systems to achieve full autonomy. Several approaches have attempted to achieve MOSEVE using a LiDAR sensor. However, LiDAR sensors are typically expensive and susceptible to adverse weather conditions. Instead, millimet...
2102.02417
Kai Yuan Tay
Kai Yuan Tay, Lynnette Ng, Wei Han Chua, Lucerne Loke, Danqi Ye, Melissa Chua
Audio Adversarial Examples: Attacks Using Vocal Masks
9 pages, 1 figure, 2 tables. Submitted to COLING2020
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
We construct audio adversarial examples on automatic Speech-To-Text systems . Given any audio waveform, we produce an another by overlaying an audio vocal mask generated from the original audio. We apply our audio adversarial attack to five SOTA STT systems: DeepSpeech, Julius, Kaldi, wav2letter@anywhere and CMUSphin...
[ { "created": "Thu, 4 Feb 2021 05:21:10 GMT", "version": "v1" }, { "created": "Sat, 6 Feb 2021 03:31:23 GMT", "version": "v2" } ]
2021-02-09
[ [ "Tay", "Kai Yuan", "" ], [ "Ng", "Lynnette", "" ], [ "Chua", "Wei Han", "" ], [ "Loke", "Lucerne", "" ], [ "Ye", "Danqi", "" ], [ "Chua", "Melissa", "" ] ]
We construct audio adversarial examples on automatic Speech-To-Text systems . Given any audio waveform, we produce an another by overlaying an audio vocal mask generated from the original audio. We apply our audio adversarial attack to five SOTA STT systems: DeepSpeech, Julius, Kaldi, wav2letter@anywhere and CMUSphinx....
2309.12466
Chuta Sano
Chuta Sano and Ryan Kavanagh and Brigitte Pientka
Mechanizing Session-Types using a Structural View: Enforcing Linearity without Linearity
Technical report containing an appendix with additional proofs. Companion to an OOPSLA'23 paper of the same name
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Session types employ a linear type system that ensures that communication channels cannot be implicitly copied or discarded. As a result, many mechanizations of these systems require modeling channel contexts and carefully ensuring that they treat channels linearly. We demonstrate a technique that localizes linearity...
[ { "created": "Thu, 21 Sep 2023 20:20:28 GMT", "version": "v1" } ]
2023-09-25
[ [ "Sano", "Chuta", "" ], [ "Kavanagh", "Ryan", "" ], [ "Pientka", "Brigitte", "" ] ]
Session types employ a linear type system that ensures that communication channels cannot be implicitly copied or discarded. As a result, many mechanizations of these systems require modeling channel contexts and carefully ensuring that they treat channels linearly. We demonstrate a technique that localizes linearity c...
2002.10829
Alina Karakanta
Alina Karakanta, Matteo Negri, Marco Turchi
MuST-Cinema: a Speech-to-Subtitles corpus
Accepted at LREC 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Growing needs in localising audiovisual content in multiple languages through subtitles call for the development of automatic solutions for human subtitling. Neural Machine Translation (NMT) can contribute to the automatisation of subtitling, facilitating the work of human subtitlers and reducing turn-around times an...
[ { "created": "Tue, 25 Feb 2020 12:40:06 GMT", "version": "v1" } ]
2020-02-26
[ [ "Karakanta", "Alina", "" ], [ "Negri", "Matteo", "" ], [ "Turchi", "Marco", "" ] ]
Growing needs in localising audiovisual content in multiple languages through subtitles call for the development of automatic solutions for human subtitling. Neural Machine Translation (NMT) can contribute to the automatisation of subtitling, facilitating the work of human subtitlers and reducing turn-around times and ...
2206.15349
Lingfei Song
Lingfei Song, Hua Huang
Revisiting Competitive Coding Approach for Palmprint Recognition: A Linear Discriminant Analysis Perspective
12 pages, 14 figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
The competitive Coding approach (CompCode) is one of the most promising methods for palmprint recognition. Due to its high performance and simple formulation, it has been continuously studied for many years. However, although numerous variations of CompCode have been proposed, a detailed analysis of the method is sti...
[ { "created": "Thu, 30 Jun 2022 15:18:39 GMT", "version": "v1" } ]
2022-07-01
[ [ "Song", "Lingfei", "" ], [ "Huang", "Hua", "" ] ]
The competitive Coding approach (CompCode) is one of the most promising methods for palmprint recognition. Due to its high performance and simple formulation, it has been continuously studied for many years. However, although numerous variations of CompCode have been proposed, a detailed analysis of the method is still...
2407.13530
Michael Pantic
Isar Meijer, Michael Pantic, Helen Oleynikova, Roland Siegwart
Pushing the Limits of Reactive Planning: Learning to Escape Local Minima
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When does a robot planner need a map? Reactive methods that use only the robot's current sensor data and local information are fast and flexible, but prone to getting stuck in local minima. Is there a middle-ground between fully reactive methods and map-based path planners? In this paper, we investigate feed forward ...
[ { "created": "Thu, 18 Jul 2024 14:04:01 GMT", "version": "v1" } ]
2024-07-19
[ [ "Meijer", "Isar", "" ], [ "Pantic", "Michael", "" ], [ "Oleynikova", "Helen", "" ], [ "Siegwart", "Roland", "" ] ]
When does a robot planner need a map? Reactive methods that use only the robot's current sensor data and local information are fast and flexible, but prone to getting stuck in local minima. Is there a middle-ground between fully reactive methods and map-based path planners? In this paper, we investigate feed forward an...
1510.05891
Muhammad Jawaherul Alam
Md. Jawaherul Alam, Franz J. Brandenburg and Stephen G. Kobourov
On the Book Thickness of 1-Planar Graphs
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a book embedding of a graph G, the vertices of G are placed in order along a straight-line called spine of the book, and the edges of G are drawn on a set of half-planes, called the pages of the book, such that two edges drawn on a page do not cross each other. The minimum number of pages in which a graph can be e...
[ { "created": "Tue, 20 Oct 2015 13:40:33 GMT", "version": "v1" } ]
2015-10-21
[ [ "Alam", "Md. Jawaherul", "" ], [ "Brandenburg", "Franz J.", "" ], [ "Kobourov", "Stephen G.", "" ] ]
In a book embedding of a graph G, the vertices of G are placed in order along a straight-line called spine of the book, and the edges of G are drawn on a set of half-planes, called the pages of the book, such that two edges drawn on a page do not cross each other. The minimum number of pages in which a graph can be emb...
1812.00600
Abhinav Bhatia
Abhinav Bhatia, Pradeep Varakantham and Akshat Kumar
Resource Constrained Deep Reinforcement Learning
null
Proceedings of the International Conference on Automated Planning and Scheduling. 29, 1 (Jul. 2019), 610-620
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In urban environments, supply resources have to be constantly matched to the "right" locations (where customer demand is present) so as to improve quality of life. For instance, ambulances have to be matched to base stations regularly so as to reduce response time for emergency incidents in EMS (Emergency Management ...
[ { "created": "Mon, 3 Dec 2018 08:34:36 GMT", "version": "v1" } ]
2021-02-25
[ [ "Bhatia", "Abhinav", "" ], [ "Varakantham", "Pradeep", "" ], [ "Kumar", "Akshat", "" ] ]
In urban environments, supply resources have to be constantly matched to the "right" locations (where customer demand is present) so as to improve quality of life. For instance, ambulances have to be matched to base stations regularly so as to reduce response time for emergency incidents in EMS (Emergency Management Sy...
1607.07514
Soroush Vosoughi Dr
Soroush Vosoughi, Prashanth Vijayaraghavan and Deb Roy
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
SIGIR 2016, July 17-21, 2016, Pisa. Proceedings of SIGIR 2016. Pisa, Italy (2016)
null
10.1145/2911451.2914762
null
cs.CL cs.AI cs.NE cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decoder. We trained our model on 3 million, randomly selected English-language tweets. The model was evaluated using two methods: tweet semantic...
[ { "created": "Tue, 26 Jul 2016 00:58:14 GMT", "version": "v1" } ]
2016-07-27
[ [ "Vosoughi", "Soroush", "" ], [ "Vijayaraghavan", "Prashanth", "" ], [ "Roy", "Deb", "" ] ]
We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decoder. We trained our model on 3 million, randomly selected English-language tweets. The model was evaluated using two methods: tweet semantic s...
1807.01961
Ondrej Bajgar
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst
A Boo(n) for Evaluating Architecture Performance
ICML 2018
Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Volume 80 of the Proceedings of Machine Learning Research (PMLR)
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects these flaws. Each time a model is trained, one gets a different result due to random factors in the training process, which include rando...
[ { "created": "Thu, 5 Jul 2018 12:33:31 GMT", "version": "v1" }, { "created": "Mon, 23 Jul 2018 11:14:20 GMT", "version": "v2" } ]
2018-07-24
[ [ "Bajgar", "Ondrej", "" ], [ "Kadlec", "Rudolf", "" ], [ "Kleindienst", "Jan", "" ] ]
We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects these flaws. Each time a model is trained, one gets a different result due to random factors in the training process, which include random ...
1901.08406
Bharat Gaind
Anusha Holla, Bharat Gaind, Vikas Reddy Katta, Abhishek Kundu, S Kamalesh
Hybrid NER System for Multi-Source Offer Feeds
Published in the Global Journal of Engineering Science and Researches (ISSN 2348 - 8034, Pg. 69-77) after getting accepted in the International Conference on Recent Trends In Computational Engineering and Technologies (ICRTCET'18), May 17-18, 2018, Bengaluru, India. Journal Link - http://www.gjesr.com/ICRTCET-1...
Global Journal of Engineering Science and Researches (ICRTCET-18) (2019) 69-77
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data available across the web is largely unstructured. Offers published by multiple sources like banks, digital wallets, merchants, etc., are one of the most accessed advertising data in today's world. This data gets accessed by millions of people on a daily basis and is easily interpreted by humans, but since it is ...
[ { "created": "Thu, 24 Jan 2019 13:53:04 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2019 11:07:50 GMT", "version": "v2" } ]
2019-06-12
[ [ "Holla", "Anusha", "" ], [ "Gaind", "Bharat", "" ], [ "Katta", "Vikas Reddy", "" ], [ "Kundu", "Abhishek", "" ], [ "Kamalesh", "S", "" ] ]
Data available across the web is largely unstructured. Offers published by multiple sources like banks, digital wallets, merchants, etc., are one of the most accessed advertising data in today's world. This data gets accessed by millions of people on a daily basis and is easily interpreted by humans, but since it is la...
2204.06607
Wojciech Zielonka
Wojciech Zielonka and Timo Bolkart and Justus Thies
Towards Metrical Reconstruction of Human Faces
Video: https://youtu.be/vzzEbvv08VA Website: https://zielon.github.io/mica/ Accepted to ECCV 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face reconstruction and tracking is a building block of numerous applications in AR/VR, human-machine interaction, as well as medical applications. Most of these applications rely on a metrically correct prediction of the shape, especially, when the reconstructed subject is put into a metrical context (i.e., when the...
[ { "created": "Wed, 13 Apr 2022 18:57:33 GMT", "version": "v1" }, { "created": "Wed, 19 Oct 2022 17:29:53 GMT", "version": "v2" } ]
2022-10-20
[ [ "Zielonka", "Wojciech", "" ], [ "Bolkart", "Timo", "" ], [ "Thies", "Justus", "" ] ]
Face reconstruction and tracking is a building block of numerous applications in AR/VR, human-machine interaction, as well as medical applications. Most of these applications rely on a metrically correct prediction of the shape, especially, when the reconstructed subject is put into a metrical context (i.e., when there...
2406.03772
Yang Hou
Yang Hou, Zhenghua Li
Character-Level Chinese Dependency Parsing via Modeling Latent Intra-Word Structure
Findings of ACL 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Revealing the syntactic structure of sentences in Chinese poses significant challenges for word-level parsers due to the absence of clear word boundaries. To facilitate a transition from word-level to character-level Chinese dependency parsing, this paper proposes modeling latent internal structures within words. In ...
[ { "created": "Thu, 6 Jun 2024 06:23:02 GMT", "version": "v1" } ]
2024-06-07
[ [ "Hou", "Yang", "" ], [ "Li", "Zhenghua", "" ] ]
Revealing the syntactic structure of sentences in Chinese poses significant challenges for word-level parsers due to the absence of clear word boundaries. To facilitate a transition from word-level to character-level Chinese dependency parsing, this paper proposes modeling latent internal structures within words. In th...
2406.02958
Charlie Hou
Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
ICML 2024 (Oral)
null
null
null
cs.LG cs.AI cs.CL cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
On-device training is currently the most common approach for training machine learning (ML) models on private, distributed user data. Despite this, on-device training has several drawbacks: (1) most user devices are too small to train large models on-device, (2) on-device training is communication- and computation-in...
[ { "created": "Wed, 5 Jun 2024 05:27:02 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2024 18:09:22 GMT", "version": "v2" } ]
2024-07-19
[ [ "Hou", "Charlie", "" ], [ "Shrivastava", "Akshat", "" ], [ "Zhan", "Hongyuan", "" ], [ "Conway", "Rylan", "" ], [ "Le", "Trang", "" ], [ "Sagar", "Adithya", "" ], [ "Fanti", "Giulia", "" ], [ "Lazar...
On-device training is currently the most common approach for training machine learning (ML) models on private, distributed user data. Despite this, on-device training has several drawbacks: (1) most user devices are too small to train large models on-device, (2) on-device training is communication- and computation-inte...
2305.13893
Jasenka Dizdarevic
Jasenka Dizdarevic, Marc Michalke and Admela Jukan
Engineering and Experimentally Benchmarking Open Source MQTT Broker Implementations
This paper is uploaded here for research community, thus it is for non-commercial purposes
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
The Message Queuing Telemetry Transport (MQTT) protocol is one of the most widely used IoT protocol solutions. In this work, we are especially interested in open-source MQTT Broker implementations (such as Mosquitto, EMQX, RabbitMQ, VerneMQ, and HiveMQ). To this end, we engineer a network testbed to experimentally be...
[ { "created": "Tue, 23 May 2023 10:20:40 GMT", "version": "v1" } ]
2023-05-24
[ [ "Dizdarevic", "Jasenka", "" ], [ "Michalke", "Marc", "" ], [ "Jukan", "Admela", "" ] ]
The Message Queuing Telemetry Transport (MQTT) protocol is one of the most widely used IoT protocol solutions. In this work, we are especially interested in open-source MQTT Broker implementations (such as Mosquitto, EMQX, RabbitMQ, VerneMQ, and HiveMQ). To this end, we engineer a network testbed to experimentally benc...
1305.7053
Kaihua Zhang
Kaihua Zhang, Lei Zhang, Kin-Man Lam, and David Zhang
A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/3.0/
A novel locally statistical active contour model (ACM) for image segmentation in the presence of intensity inhomogeneity is presented in this paper. The inhomogeneous objects are modeled as Gaussian distributions of different means and variances, and a moving window is used to map the original image into another doma...
[ { "created": "Thu, 30 May 2013 10:14:14 GMT", "version": "v1" } ]
2013-05-31
[ [ "Zhang", "Kaihua", "" ], [ "Zhang", "Lei", "" ], [ "Lam", "Kin-Man", "" ], [ "Zhang", "David", "" ] ]
A novel locally statistical active contour model (ACM) for image segmentation in the presence of intensity inhomogeneity is presented in this paper. The inhomogeneous objects are modeled as Gaussian distributions of different means and variances, and a moving window is used to map the original image into another domain...
1308.5125
Derek Greene
Derek Greene and P\'adraig Cunningham
Discovering Latent Patterns from the Analysis of User-Curated Movie Lists
13 pages
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
User content curation is becoming an important source of preference data, as well as providing information regarding the items being curated. One popular approach involves the creation of lists. On Twitter, these lists might contain accounts relevant to a particular topic, whereas on a community site such as the Inte...
[ { "created": "Fri, 23 Aug 2013 13:44:28 GMT", "version": "v1" } ]
2013-08-26
[ [ "Greene", "Derek", "" ], [ "Cunningham", "Pádraig", "" ] ]
User content curation is becoming an important source of preference data, as well as providing information regarding the items being curated. One popular approach involves the creation of lists. On Twitter, these lists might contain accounts relevant to a particular topic, whereas on a community site such as the Intern...
2310.09733
Aswadh Khumar Gurusamy
Barath Kumar JK and Aswadh Khumar G S
Evaluating Intelligent Algorithms for Gait Phase Classification in Lower Limb Robotic Systems
24 Pages,28 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate and rapid detection of gait phases is of utmost importance in achieving optimal performance of powered lower-limb prostheses and exoskeletons. With the increasing versatility and complexity of these robotic systems, there is a growing need to enhance the performance of gait detection algorithms. The developm...
[ { "created": "Sun, 15 Oct 2023 04:45:26 GMT", "version": "v1" } ]
2023-10-17
[ [ "JK", "Barath Kumar", "" ], [ "S", "Aswadh Khumar G", "" ] ]
Accurate and rapid detection of gait phases is of utmost importance in achieving optimal performance of powered lower-limb prostheses and exoskeletons. With the increasing versatility and complexity of these robotic systems, there is a growing need to enhance the performance of gait detection algorithms. The developmen...
2403.19316
Jiaxuan Lu
Yue Gao, Jiaxuan Lu, Siqi Li, Yipeng Li, Shaoyi Du
Hypergraph-based Multi-View Action Recognition using Event Cameras
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)
null
10.1109/TPAMI.2024.3382117
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Action recognition from video data forms a cornerstone with wide-ranging applications. Single-view action recognition faces limitations due to its reliance on a single viewpoint. In contrast, multi-view approaches capture complementary information from various viewpoints for improved accuracy. Recently, event cameras...
[ { "created": "Thu, 28 Mar 2024 11:17:00 GMT", "version": "v1" } ]
2024-03-29
[ [ "Gao", "Yue", "" ], [ "Lu", "Jiaxuan", "" ], [ "Li", "Siqi", "" ], [ "Li", "Yipeng", "" ], [ "Du", "Shaoyi", "" ] ]
Action recognition from video data forms a cornerstone with wide-ranging applications. Single-view action recognition faces limitations due to its reliance on a single viewpoint. In contrast, multi-view approaches capture complementary information from various viewpoints for improved accuracy. Recently, event cameras h...
2205.05961
Alexander Brenner
Catharina Marie van Alen, Alexander Brenner, Tobias Warnecke and Julian Varghese
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In recent years, sensors from smart consumer devices have shown great diagnostic potential in movement disorders. In this context, data modalities such as electronic questionnaires, hand movement and voice captures have successfully captured biomarkers and allowed discrimination between Parkinson's disease (PD) and h...
[ { "created": "Thu, 12 May 2022 08:59:57 GMT", "version": "v1" } ]
2022-05-13
[ [ "van Alen", "Catharina Marie", "" ], [ "Brenner", "Alexander", "" ], [ "Warnecke", "Tobias", "" ], [ "Varghese", "Julian", "" ] ]
In recent years, sensors from smart consumer devices have shown great diagnostic potential in movement disorders. In this context, data modalities such as electronic questionnaires, hand movement and voice captures have successfully captured biomarkers and allowed discrimination between Parkinson's disease (PD) and hea...
2307.07960
Yuwei Chuai
Yuwei Chuai, Haoye Tian, Nicolas Pr\"ollochs, Gabriele Lenzini
The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter
null
null
null
null
cs.SI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is Twitter's Community Notes (previously known as "Birdwatch"). Community Notes is a crowdsourced fact-checking approach that allows users to write...
[ { "created": "Sun, 16 Jul 2023 06:41:01 GMT", "version": "v1" } ]
2023-07-18
[ [ "Chuai", "Yuwei", "" ], [ "Tian", "Haoye", "" ], [ "Pröllochs", "Nicolas", "" ], [ "Lenzini", "Gabriele", "" ] ]
Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is Twitter's Community Notes (previously known as "Birdwatch"). Community Notes is a crowdsourced fact-checking approach that allows users to write t...
1912.01320
Arren Glover
Arren Glover, Alan B. Stokes, Steve Furber, Chiara Bartolozzi
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
Presented at the Unconventional Sensing and Processing for Robotic Visual Perception workshop at the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2 pages, 2 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural Network Architecture (SpiNNaker) are both neuromorphic technologies that "unconventionally" use binary spikes to represent information. The ATIS produces spikes to represent the change in light falling on the sensor, and the SpiNNaker is a massive...
[ { "created": "Tue, 3 Dec 2019 11:46:54 GMT", "version": "v1" } ]
2019-12-04
[ [ "Glover", "Arren", "" ], [ "Stokes", "Alan B.", "" ], [ "Furber", "Steve", "" ], [ "Bartolozzi", "Chiara", "" ] ]
The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural Network Architecture (SpiNNaker) are both neuromorphic technologies that "unconventionally" use binary spikes to represent information. The ATIS produces spikes to represent the change in light falling on the sensor, and the SpiNNaker is a massively...
2104.03487
Chao Huang
Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry
Strategic Information Revelation in Crowdsourcing Systems Without Verification
To appear in IEEE INFOCOM 2021
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a crowdsourcing problem where the platform aims to incentivize distributed workers to provide high quality and truthful solutions without the ability to verify the solutions. While most prior work assumes that the platform and workers have symmetric information, we study an asymmetric information scenario wh...
[ { "created": "Thu, 8 Apr 2021 03:00:33 GMT", "version": "v1" }, { "created": "Fri, 9 Apr 2021 04:48:57 GMT", "version": "v2" } ]
2021-04-12
[ [ "Huang", "Chao", "" ], [ "Yu", "Haoran", "" ], [ "Huang", "Jianwei", "" ], [ "Berry", "Randall A.", "" ] ]
We study a crowdsourcing problem where the platform aims to incentivize distributed workers to provide high quality and truthful solutions without the ability to verify the solutions. While most prior work assumes that the platform and workers have symmetric information, we study an asymmetric information scenario wher...
2007.11646
Diego Romeres
Yifang Liu, Diego Romeres, Devesh K. Jha and Daniel Nikovski
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
Published at a RSS20 workshop
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the main challenges in peg-in-a-hole (PiH) insertion tasks is in handling the uncertainty in the location of the target hole. In order to address it, high-dimensional sensor inputs from sensor modalities such as vision, force/torque sensing, and proprioception can be combined to learn control policies that are...
[ { "created": "Wed, 22 Jul 2020 19:46:51 GMT", "version": "v1" } ]
2020-07-24
[ [ "Liu", "Yifang", "" ], [ "Romeres", "Diego", "" ], [ "Jha", "Devesh K.", "" ], [ "Nikovski", "Daniel", "" ] ]
One of the main challenges in peg-in-a-hole (PiH) insertion tasks is in handling the uncertainty in the location of the target hole. In order to address it, high-dimensional sensor inputs from sensor modalities such as vision, force/torque sensing, and proprioception can be combined to learn control policies that are r...
2111.00166
Taha Elmokadem
Taha Elmokadem
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
null
null
null
null
cs.RO cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and perform tasks autonomously with least human interaction. This is a very challe...
[ { "created": "Sat, 30 Oct 2021 03:51:40 GMT", "version": "v1" } ]
2021-11-02
[ [ "Elmokadem", "Taha", "" ] ]
Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and perform tasks autonomously with least human interaction. This is a very challeng...
2311.09930
Jaykumar Kasundra
Jaykumar Kasundra, Claudia Schulz, Melicaalsadat Mirsafian, Stavroula Skylaki
A Framework for Monitoring and Retraining Language Models in Real-World Applications
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In the Machine Learning (ML) model development lifecycle, training candidate models using an offline holdout dataset and identifying the best model for the given task is only the first step. After the deployment of the selected model, continuous model monitoring and model retraining is required in many real-world app...
[ { "created": "Thu, 16 Nov 2023 14:32:18 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2023 09:23:20 GMT", "version": "v2" } ]
2023-11-20
[ [ "Kasundra", "Jaykumar", "" ], [ "Schulz", "Claudia", "" ], [ "Mirsafian", "Melicaalsadat", "" ], [ "Skylaki", "Stavroula", "" ] ]
In the Machine Learning (ML) model development lifecycle, training candidate models using an offline holdout dataset and identifying the best model for the given task is only the first step. After the deployment of the selected model, continuous model monitoring and model retraining is required in many real-world appli...
1612.05710
Saeed Moghaddam
Saeed Moghaddam, Ahmed Helmy
Multi-modal Mining and Modeling of Big Mobile Networks Based on Users Behavior and Interest
null
null
null
null
cs.NI cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Usage of mobile wireless Internet has grown very fast in recent years. This radical change in availability of Internet has led to communication of big amount of data over mobile networks and consequently new challenges and opportunities for modeling of mobile Internet characteristics. While the traditional approach t...
[ { "created": "Sat, 17 Dec 2016 06:21:05 GMT", "version": "v1" } ]
2016-12-20
[ [ "Moghaddam", "Saeed", "" ], [ "Helmy", "Ahmed", "" ] ]
Usage of mobile wireless Internet has grown very fast in recent years. This radical change in availability of Internet has led to communication of big amount of data over mobile networks and consequently new challenges and opportunities for modeling of mobile Internet characteristics. While the traditional approach tow...
2309.16962
Yuqiu Zhang
Yuqiu Zhang, Tongkun Zhang, Gengrui Zhang, Hans-Arno Jacobsen
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud
To appear at ACM SoCC '23
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
The advances in virtualization technologies have sparked a growing transition from virtual machine (VM)-based to container-based infrastructure for cloud computing. From the resource orchestration perspective, containers' lightweight and highly configurable nature not only enables opportunities for more optimized str...
[ { "created": "Fri, 29 Sep 2023 04:11:12 GMT", "version": "v1" } ]
2023-10-02
[ [ "Zhang", "Yuqiu", "" ], [ "Zhang", "Tongkun", "" ], [ "Zhang", "Gengrui", "" ], [ "Jacobsen", "Hans-Arno", "" ] ]
The advances in virtualization technologies have sparked a growing transition from virtual machine (VM)-based to container-based infrastructure for cloud computing. From the resource orchestration perspective, containers' lightweight and highly configurable nature not only enables opportunities for more optimized strat...
1708.08611
Mohammed Alshiekh
Mohammed Alshiekh, Roderick Bloem, Ruediger Ehlers, Bettina K\"onighofer, Scott Niekum, Ufuk Topcu
Safe Reinforcement Learning via Shielding
null
null
null
null
cs.LO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning algorithms discover policies that maximize reward, but do not necessarily guarantee safety during learning or execution phases. We introduce a new approach to learn optimal policies while enforcing properties expressed in temporal logic. To this end, given the temporal logic specification that ...
[ { "created": "Tue, 29 Aug 2017 07:16:54 GMT", "version": "v1" }, { "created": "Sun, 3 Sep 2017 20:35:33 GMT", "version": "v2" } ]
2017-09-05
[ [ "Alshiekh", "Mohammed", "" ], [ "Bloem", "Roderick", "" ], [ "Ehlers", "Ruediger", "" ], [ "Könighofer", "Bettina", "" ], [ "Niekum", "Scott", "" ], [ "Topcu", "Ufuk", "" ] ]
Reinforcement learning algorithms discover policies that maximize reward, but do not necessarily guarantee safety during learning or execution phases. We introduce a new approach to learn optimal policies while enforcing properties expressed in temporal logic. To this end, given the temporal logic specification that is...
2407.13717
Usman Gohar
Usman Gohar, Michael C. Hunter, Robyn R. Lutz, Myra B. Cohen
CoDefeater: Using LLMs To Find Defeaters in Assurance Cases
null
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by/4.0/
Constructing assurance cases is a widely used, and sometimes required, process toward demonstrating that safety-critical systems will operate safely in their planned environment. To mitigate the risk of errors and missing edge cases, the concept of defeaters - arguments or evidence that challenge claims in an assuran...
[ { "created": "Thu, 18 Jul 2024 17:16:35 GMT", "version": "v1" } ]
2024-07-19
[ [ "Gohar", "Usman", "" ], [ "Hunter", "Michael C.", "" ], [ "Lutz", "Robyn R.", "" ], [ "Cohen", "Myra B.", "" ] ]
Constructing assurance cases is a widely used, and sometimes required, process toward demonstrating that safety-critical systems will operate safely in their planned environment. To mitigate the risk of errors and missing edge cases, the concept of defeaters - arguments or evidence that challenge claims in an assurance...
2404.17565
Mubashir Noman
Mubashir Noman and Mustansar Fiaz and Hisham Cholakkal
ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection
accepted at IGARSS 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Change detection (CD) is a fundamental task in remote sensing (RS) which aims to detect the semantic changes between the same geographical regions at different time stamps. Existing convolutional neural networks (CNNs) based approaches often struggle to capture long-range dependencies. Whereas recent transformer-base...
[ { "created": "Fri, 26 Apr 2024 17:47:14 GMT", "version": "v1" } ]
2024-04-29
[ [ "Noman", "Mubashir", "" ], [ "Fiaz", "Mustansar", "" ], [ "Cholakkal", "Hisham", "" ] ]
Change detection (CD) is a fundamental task in remote sensing (RS) which aims to detect the semantic changes between the same geographical regions at different time stamps. Existing convolutional neural networks (CNNs) based approaches often struggle to capture long-range dependencies. Whereas recent transformer-based ...
1705.11063
Simon Hill
Simon Hill (1 and 3), Daniel Deising (2), Thomas Acher (1), Harald Klein (3), Dieter Bothe (2), Holger Marschall (2) ((1) Linde Engineering AG, Pullach, Germany, (2) Technische Universit\"at Darmstadt, Darmstadt, Germany, (3) Technische Universit\"at M\"unchen, Germany)
Boundedness-Preserving Implicit Correction of Mesh-Induced Errors for VoF Based Heat and Mass Transfer
null
null
10.1016/j.jcp.2017.09.027
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spatial discretisation of geometrically complex computational domains often entails unstructured meshes of general topology for Computational Fluid Dynamics (CFD). Mesh skewness is then typically encountered causing severe deterioration of the formal order of accuracy of the discretisation, or boundedness of the solu...
[ { "created": "Wed, 31 May 2017 12:36:38 GMT", "version": "v1" }, { "created": "Wed, 21 Jun 2017 13:42:48 GMT", "version": "v2" } ]
2017-10-25
[ [ "Hill", "Simon", "", "1 and 3" ], [ "Deising", "Daniel", "" ], [ "Acher", "Thomas", "" ], [ "Klein", "Harald", "" ], [ "Bothe", "Dieter", "" ], [ "Marschall", "Holger", "" ] ]
Spatial discretisation of geometrically complex computational domains often entails unstructured meshes of general topology for Computational Fluid Dynamics (CFD). Mesh skewness is then typically encountered causing severe deterioration of the formal order of accuracy of the discretisation, or boundedness of the soluti...
2402.11818
Sameer Jain
Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shreshtha, Cesar Suarez, Zheyuan Ryan Shi, Lei Li, Fei Fang
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
AAAI 2024: AI for Social Impact Track
null
null
null
cs.CL cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Environmental conservation organizations routinely monitor news content on conservation in protected areas to maintain situational awareness of developments that can have an environmental impact. Existing automated media monitoring systems require large amounts of data labeled by domain experts, which is only feasibl...
[ { "created": "Mon, 19 Feb 2024 04:17:21 GMT", "version": "v1" } ]
2024-02-20
[ [ "Jain", "Sameer", "" ], [ "Keh", "Sedrick Scott", "" ], [ "Chettri", "Shova", "" ], [ "Dewan", "Karun", "" ], [ "Izquierdo", "Pablo", "" ], [ "Prussman", "Johanna", "" ], [ "Shreshtha", "Pooja", "" ], [...
Environmental conservation organizations routinely monitor news content on conservation in protected areas to maintain situational awareness of developments that can have an environmental impact. Existing automated media monitoring systems require large amounts of data labeled by domain experts, which is only feasible ...
2404.13674
Hoang Ta
Yeow Meng Chee, Tuvi Etzion, Hoang Ta, and Van Khu Vu
On de Bruijn Covering Sequences and Arrays
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
An $(m,n,R)$-de Bruijn covering array (dBCA) is a doubly periodic $M \times N$ array over an alphabet of size $q$ such that the set of all its $m \times n$ windows form a covering code with radius $R$. An upper bound of the smallest array area of an $(m,n,R)$-dBCA is provided using a probabilistic technique which is ...
[ { "created": "Sun, 21 Apr 2024 14:26:44 GMT", "version": "v1" }, { "created": "Thu, 9 May 2024 09:22:36 GMT", "version": "v2" } ]
2024-05-10
[ [ "Chee", "Yeow Meng", "" ], [ "Etzion", "Tuvi", "" ], [ "Ta", "Hoang", "" ], [ "Vu", "Van Khu", "" ] ]
An $(m,n,R)$-de Bruijn covering array (dBCA) is a doubly periodic $M \times N$ array over an alphabet of size $q$ such that the set of all its $m \times n$ windows form a covering code with radius $R$. An upper bound of the smallest array area of an $(m,n,R)$-dBCA is provided using a probabilistic technique which is si...
2009.02166
Cornelis Jan Van Leeuwen
Cornelis Jan van Leeuwen, Joost Stam, Arun Subramanian, Koen Kok
Collaboratively Optimizing Power Scheduling and Mitigating Congestion using Local Pricing in a Receding Horizon Market
10 pages, 9 figures, 2 tables, 1 algorithm in pseudocode
null
null
null
cs.MA cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A distributed, hierarchical, market based approach is introduced to solve the economic dispatch problem. The approach requires only a minimal amount of information to be shared between a central market operator and the end-users. Price signals from the market operator are sent down to end-user device agents, which in...
[ { "created": "Fri, 4 Sep 2020 13:04:50 GMT", "version": "v1" } ]
2020-09-07
[ [ "van Leeuwen", "Cornelis Jan", "" ], [ "Stam", "Joost", "" ], [ "Subramanian", "Arun", "" ], [ "Kok", "Koen", "" ] ]
A distributed, hierarchical, market based approach is introduced to solve the economic dispatch problem. The approach requires only a minimal amount of information to be shared between a central market operator and the end-users. Price signals from the market operator are sent down to end-user device agents, which in t...
1603.05763
Boshra Rajaei
Boshra Rajaei, Rafael Grompone von Gioi, Jean-Michel Morel
From line segments to more organized Gestalts
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we reconsider the early computer vision bottom-up program, according to which higher level features (geometric structures) in an image could be built up recursively from elementary features by simple grouping principles coming from Gestalt theory. Taking advantage of the (recent) advances in reliable l...
[ { "created": "Fri, 18 Mar 2016 04:05:35 GMT", "version": "v1" } ]
2016-03-21
[ [ "Rajaei", "Boshra", "" ], [ "von Gioi", "Rafael Grompone", "" ], [ "Morel", "Jean-Michel", "" ] ]
In this paper, we reconsider the early computer vision bottom-up program, according to which higher level features (geometric structures) in an image could be built up recursively from elementary features by simple grouping principles coming from Gestalt theory. Taking advantage of the (recent) advances in reliable lin...
1806.04291
Manuel Mager
Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra, Ivan Meza
Challenges of language technologies for the indigenous languages of the Americas
In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Indigenous languages of the American continent are highly diverse. However, they have received little attention from the technological perspective. In this paper, we review the research, the digital resources and the available NLP systems that focus on these languages. We present the main challenges and research ques...
[ { "created": "Tue, 12 Jun 2018 01:26:55 GMT", "version": "v1" } ]
2018-06-13
[ [ "Mager", "Manuel", "" ], [ "Gutierrez-Vasques", "Ximena", "" ], [ "Sierra", "Gerardo", "" ], [ "Meza", "Ivan", "" ] ]
Indigenous languages of the American continent are highly diverse. However, they have received little attention from the technological perspective. In this paper, we review the research, the digital resources and the available NLP systems that focus on these languages. We present the main challenges and research questi...
2406.15074
Suvadeep Mukherjee
Suvadeep Mukherjee, Verena Distler, Gabriele Lenzini and Pedro Cardoso-Leite
Balancing The Perception of Cheating Detection, Privacy and Fairness: A Mixed-Methods Study of Visual Data Obfuscation in Remote Proctoring
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Remote proctoring technology, a cheating-preventive measure, often raises privacy and fairness concerns that may affect test-takers' experiences and the validity of test results. Our study explores how selectively obfuscating information in video recordings can protect test-takers' privacy while ensuring effective an...
[ { "created": "Fri, 21 Jun 2024 11:40:56 GMT", "version": "v1" } ]
2024-06-24
[ [ "Mukherjee", "Suvadeep", "" ], [ "Distler", "Verena", "" ], [ "Lenzini", "Gabriele", "" ], [ "Cardoso-Leite", "Pedro", "" ] ]
Remote proctoring technology, a cheating-preventive measure, often raises privacy and fairness concerns that may affect test-takers' experiences and the validity of test results. Our study explores how selectively obfuscating information in video recordings can protect test-takers' privacy while ensuring effective and ...
2108.07871
Stephanie Schoch
Stephanie Schoch, Wanyu Du, Yangfeng Ji
Contextualizing Variation in Text Style Transfer Datasets
Accepted to INLG 2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text style transfer involves rewriting the content of a source sentence in a target style. Despite there being a number of style tasks with available data, there has been limited systematic discussion of how text style datasets relate to each other. This understanding, however, is likely to have implications for sele...
[ { "created": "Tue, 17 Aug 2021 20:54:24 GMT", "version": "v1" } ]
2021-08-19
[ [ "Schoch", "Stephanie", "" ], [ "Du", "Wanyu", "" ], [ "Ji", "Yangfeng", "" ] ]
Text style transfer involves rewriting the content of a source sentence in a target style. Despite there being a number of style tasks with available data, there has been limited systematic discussion of how text style datasets relate to each other. This understanding, however, is likely to have implications for select...
2402.01335
Chintan Trivedi
Chintan Trivedi, Nemanja Ra\v{s}ajski, Konstantinos Makantasis, Antonios Liapis and Georgios N. Yannakakis
Simulator-Free Visual Domain Randomization via Video Games
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Domain randomization is an effective computer vision technique for improving transferability of vision models across visually distinct domains exhibiting similar content. Existing approaches, however, rely extensively on tweaking complex and specialized simulation engines that are difficult to construct, subsequently...
[ { "created": "Fri, 2 Feb 2024 11:40:27 GMT", "version": "v1" }, { "created": "Thu, 30 May 2024 21:04:36 GMT", "version": "v2" } ]
2024-06-03
[ [ "Trivedi", "Chintan", "" ], [ "Rašajski", "Nemanja", "" ], [ "Makantasis", "Konstantinos", "" ], [ "Liapis", "Antonios", "" ], [ "Yannakakis", "Georgios N.", "" ] ]
Domain randomization is an effective computer vision technique for improving transferability of vision models across visually distinct domains exhibiting similar content. Existing approaches, however, rely extensively on tweaking complex and specialized simulation engines that are difficult to construct, subsequently a...
2403.15388
Yuzhang Shang
Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
Project page: https://llava-prumerge.github.io/
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Multimodal Models (LMMs) have shown significant visual reasoning capabilities by connecting a visual encoder and a large language model. LMMs typically take in a fixed and large amount of visual tokens, such as the penultimate layer features in the CLIP visual encoder, as the prefix content. Recent LMMs incorpo...
[ { "created": "Fri, 22 Mar 2024 17:59:52 GMT", "version": "v1" }, { "created": "Mon, 25 Mar 2024 17:59:55 GMT", "version": "v2" }, { "created": "Mon, 1 Apr 2024 14:08:06 GMT", "version": "v3" }, { "created": "Fri, 12 Apr 2024 17:34:29 GMT", "version": "v4" }, { "cr...
2024-05-24
[ [ "Shang", "Yuzhang", "" ], [ "Cai", "Mu", "" ], [ "Xu", "Bingxin", "" ], [ "Lee", "Yong Jae", "" ], [ "Yan", "Yan", "" ] ]
Large Multimodal Models (LMMs) have shown significant visual reasoning capabilities by connecting a visual encoder and a large language model. LMMs typically take in a fixed and large amount of visual tokens, such as the penultimate layer features in the CLIP visual encoder, as the prefix content. Recent LMMs incorpora...
1704.09028
Benjamin Van Roy
Daniel Russo and David Tse and Benjamin Van Roy
Time-Sensitive Bandit Learning and Satisficing Thompson Sampling
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The literature on bandit learning and regret analysis has focused on contexts where the goal is to converge on an optimal action in a manner that limits exploration costs. One shortcoming imposed by this orientation is that it does not treat time preference in a coherent manner. Time preference plays an important rol...
[ { "created": "Fri, 28 Apr 2017 17:54:59 GMT", "version": "v1" } ]
2017-05-01
[ [ "Russo", "Daniel", "" ], [ "Tse", "David", "" ], [ "Van Roy", "Benjamin", "" ] ]
The literature on bandit learning and regret analysis has focused on contexts where the goal is to converge on an optimal action in a manner that limits exploration costs. One shortcoming imposed by this orientation is that it does not treat time preference in a coherent manner. Time preference plays an important role ...
1403.7939
Vincent Pilaud
J\"urgen Bokowski and Vincent Pilaud
Quasi-configurations: building blocks for point-line configurations
12 pages, 9 figures
Ars Math. Contemp., 10(1): 99-112, 2016
10.26493/1855-3974.642.bbb
null
cs.CG cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study point-line incidence structures and their properties in the projective plane. Our motivation is the problem of the existence of $(n_4)$ configurations, still open for few remaining values of $n$. Our approach is based on quasi-configurations: point-line incidence structures where each point is incident to at...
[ { "created": "Mon, 31 Mar 2014 10:17:56 GMT", "version": "v1" }, { "created": "Thu, 4 Dec 2014 17:17:55 GMT", "version": "v2" } ]
2023-11-14
[ [ "Bokowski", "Jürgen", "" ], [ "Pilaud", "Vincent", "" ] ]
We study point-line incidence structures and their properties in the projective plane. Our motivation is the problem of the existence of $(n_4)$ configurations, still open for few remaining values of $n$. Our approach is based on quasi-configurations: point-line incidence structures where each point is incident to at l...
1807.10819
Andrew Jesson D
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017
null
10.1007/978-3-319-66179-7_73
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce CASED, a novel curriculum sampling algorithm that facilitates the optimization of deep learning segmentation or detection models on data sets with extreme class imbalance. We evaluate the CASED learning framework on the task of lung nodule detection in chest CT. In contrast to two-stage solutions, wherei...
[ { "created": "Fri, 27 Jul 2018 20:10:11 GMT", "version": "v1" } ]
2018-07-31
[ [ "Jesson", "Andrew", "" ], [ "Guizard", "Nicolas", "" ], [ "Ghalehjegh", "Sina Hamidi", "" ], [ "Goblot", "Damien", "" ], [ "Soudan", "Florian", "" ], [ "Chapados", "Nicolas", "" ] ]
We introduce CASED, a novel curriculum sampling algorithm that facilitates the optimization of deep learning segmentation or detection models on data sets with extreme class imbalance. We evaluate the CASED learning framework on the task of lung nodule detection in chest CT. In contrast to two-stage solutions, wherein ...
1304.6476
Noah Daniels
Noah M. Daniels
Remote Homology Detection in Proteins Using Graphical Models
Doctoral dissertation
null
10.1109/TCBB.2014.2344682
null
cs.CE q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and function. Since structure is typically more conserved than sequence over long evolutionary distances, recognizing remote protein homologs fro...
[ { "created": "Wed, 24 Apr 2013 03:29:23 GMT", "version": "v1" } ]
2015-03-23
[ [ "Daniels", "Noah M.", "" ] ]
Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and function. Since structure is typically more conserved than sequence over long evolutionary distances, recognizing remote protein homologs from ...
1209.4233
Laurent Najman
Roland Levillain (LIGM, LRDE), Thierry G\'eraud (LRDE), Laurent Najman (LIGM)
Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework
Workshop on Applications of Discrete Geometry and Mathematical Morphology, Istanb : France (2010)
null
10.1007/978-3-642-32313-3_10
null
cs.MS cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital Geometry software should reflect the generality of the underlying mathe- matics: mapping the latter to the former requires genericity. By designing generic solutions, one can effectively reuse digital geometry data structures and algorithms. We propose an image processing framework focused on the Generic Prog...
[ { "created": "Tue, 18 Sep 2012 15:17:10 GMT", "version": "v1" } ]
2012-09-20
[ [ "Levillain", "Roland", "", "LIGM, LRDE" ], [ "Géraud", "Thierry", "", "LRDE" ], [ "Najman", "Laurent", "", "LIGM" ] ]
Digital Geometry software should reflect the generality of the underlying mathe- matics: mapping the latter to the former requires genericity. By designing generic solutions, one can effectively reuse digital geometry data structures and algorithms. We propose an image processing framework focused on the Generic Progra...
2001.09030
Georg Maringer
Christian Deppe and Vladimir Lebedev and Georg Maringer
Bounds for the capacity error function for unidirectional channels with noiseless feedback
24 pages, short version accepted at ISIT 2020
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In digital systems such as fiber optical communications, the ratio between probability of errors of type $1\to 0$ and $0 \to 1$ can be large. Practically, one can assume that only one type of error can occur. These errors arecalled asymmetric. Unidirectional errors differ from asymmetric type of errors; here both $1 ...
[ { "created": "Fri, 24 Jan 2020 14:27:55 GMT", "version": "v1" }, { "created": "Tue, 28 Apr 2020 14:12:43 GMT", "version": "v2" } ]
2020-04-29
[ [ "Deppe", "Christian", "" ], [ "Lebedev", "Vladimir", "" ], [ "Maringer", "Georg", "" ] ]
In digital systems such as fiber optical communications, the ratio between probability of errors of type $1\to 0$ and $0 \to 1$ can be large. Practically, one can assume that only one type of error can occur. These errors arecalled asymmetric. Unidirectional errors differ from asymmetric type of errors; here both $1 \t...
2103.10207
Nick W\"urdemann
Manuel Gieseking and Nick W\"urdemann
Canonical Representations for Direct Generation of Strategies in High-level Petri Games (Full Version)
31 pages, 5 figures, 2 tables, full version of the corresponding Petri Nets 2021 (ICATPN2021) paper
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
Petri games are a multi-player game model for the synthesis problem in distributed systems, i.e., the automatic generation of local controllers. The model represents causal memory of the players, which are tokens on a Petri net and divided into two teams: the controllable system and the uncontrollable environment. Fo...
[ { "created": "Thu, 18 Mar 2021 12:20:08 GMT", "version": "v1" } ]
2021-03-19
[ [ "Gieseking", "Manuel", "" ], [ "Würdemann", "Nick", "" ] ]
Petri games are a multi-player game model for the synthesis problem in distributed systems, i.e., the automatic generation of local controllers. The model represents causal memory of the players, which are tokens on a Petri net and divided into two teams: the controllable system and the uncontrollable environment. For ...
1203.5395
Mohammad Firooz
Mohammad Hamed Firooz, Sumit Roy
Data Dissemination in Wireless Networks with Network Coding
null
IEEE Communications Letters, Volume:17 , Issue: 5, 2013
10.1109/LCOMM.2013.031313.121994
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the use of network coding for information dissemination over a wireless network. Using network coding allows for a simple, distributed and robust algorithm where nodes do not need any information from their neighbors. In this paper, we analyze the time needed to diffuse information throughout a network...
[ { "created": "Sat, 24 Mar 2012 07:53:13 GMT", "version": "v1" }, { "created": "Sun, 9 Sep 2012 21:11:46 GMT", "version": "v2" }, { "created": "Sun, 8 Dec 2013 07:56:52 GMT", "version": "v3" } ]
2016-11-18
[ [ "Firooz", "Mohammad Hamed", "" ], [ "Roy", "Sumit", "" ] ]
We investigate the use of network coding for information dissemination over a wireless network. Using network coding allows for a simple, distributed and robust algorithm where nodes do not need any information from their neighbors. In this paper, we analyze the time needed to diffuse information throughout a network w...
2110.02667
Mehmet F. Demirel
Mehmet F. Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
Attentive Walk-Aggregating Graph Neural Networks
Published in TMLR (Transactions on Machine Learning Research) (08/2022) 32 pages
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNNs) have been shown to possess strong representation power, which can be exploited for downstream prediction tasks on graph-structured data, such as molecules and social networks. They typically learn representations by aggregating information from the $K$-hop neighborhood of individual verti...
[ { "created": "Wed, 6 Oct 2021 11:41:12 GMT", "version": "v1" }, { "created": "Sun, 21 Aug 2022 14:29:46 GMT", "version": "v2" } ]
2022-08-23
[ [ "Demirel", "Mehmet F.", "" ], [ "Liu", "Shengchao", "" ], [ "Garg", "Siddhant", "" ], [ "Shi", "Zhenmei", "" ], [ "Liang", "Yingyu", "" ] ]
Graph neural networks (GNNs) have been shown to possess strong representation power, which can be exploited for downstream prediction tasks on graph-structured data, such as molecules and social networks. They typically learn representations by aggregating information from the $K$-hop neighborhood of individual vertice...
1408.4049
Giuseppe Toscani
Giuseppe Toscani
A strengthened entropy power inequality for log-concave densities
21 pages
null
null
null
cs.IT math.FA math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that Shannon's entropy--power inequality admits a strengthened version in the case in which the densities are log-concave. In such a case, in fact, one can extend the Blachman--Stam argument to obtain a sharp inequality for the second derivative of Shannon's entropy functional with respect to the heat semigro...
[ { "created": "Mon, 18 Aug 2014 15:49:11 GMT", "version": "v1" } ]
2014-08-19
[ [ "Toscani", "Giuseppe", "" ] ]
We show that Shannon's entropy--power inequality admits a strengthened version in the case in which the densities are log-concave. In such a case, in fact, one can extend the Blachman--Stam argument to obtain a sharp inequality for the second derivative of Shannon's entropy functional with respect to the heat semigroup...
1503.00173
Jonathan Mei
Jonathan Mei and Jos\'e M. F. Moura
Signal Processing on Graphs: Causal Modeling of Unstructured Data
null
IEEE Transactions on Signal Processing, vol. 65, no. 8, pp. 2077-2092, April 15, 2017
10.1109/TSP.2016.2634543
null
cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many applications collect a large number of time series, for example, the financial data of companies quoted in a stock exchange, the health care data of all patients that visit the emergency room of a hospital, or the temperature sequences continuously measured by weather stations across the US. These data are often...
[ { "created": "Sat, 28 Feb 2015 20:28:05 GMT", "version": "v1" }, { "created": "Thu, 14 Apr 2016 20:58:45 GMT", "version": "v2" }, { "created": "Tue, 13 Sep 2016 13:19:02 GMT", "version": "v3" }, { "created": "Mon, 31 Oct 2016 22:05:33 GMT", "version": "v4" }, { "c...
2017-02-09
[ [ "Mei", "Jonathan", "" ], [ "Moura", "José M. F.", "" ] ]
Many applications collect a large number of time series, for example, the financial data of companies quoted in a stock exchange, the health care data of all patients that visit the emergency room of a hospital, or the temperature sequences continuously measured by weather stations across the US. These data are often r...
2103.14124
Ansgar Scherp
Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers
Paper accepted at iiWAS2021
null
null
null
cs.DL
http://creativecommons.org/licenses/by-nc-sa/4.0/
A common writing style for statistical results are the recommendations of the American Psychology Association, known as APA-style. However, in practice, writing styles vary as reports are not 100% following APA-style or parameters are not reported despite being mandatory. In addition, the statistics are not reported ...
[ { "created": "Thu, 25 Mar 2021 20:30:57 GMT", "version": "v1" }, { "created": "Tue, 6 Dec 2022 20:43:50 GMT", "version": "v2" } ]
2022-12-09
[ [ "Epp", "Steffen", "" ], [ "Hoffmann", "Marcel", "" ], [ "Lell", "Nicolas", "" ], [ "Mohr", "Michael", "" ], [ "Scherp", "Ansgar", "" ] ]
A common writing style for statistical results are the recommendations of the American Psychology Association, known as APA-style. However, in practice, writing styles vary as reports are not 100% following APA-style or parameters are not reported despite being mandatory. In addition, the statistics are not reported in...
2109.13009
Soeren Becker
Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the utilized ML models need to be updated periodically to adapt to seasonal changes and concept drifts in the sensor data. Although the increa...
[ { "created": "Mon, 27 Sep 2021 12:45:26 GMT", "version": "v1" } ]
2021-09-28
[ [ "Becker", "Soeren", "" ], [ "Schmidt", "Florian", "" ], [ "Thamsen", "Lauritz", "" ], [ "Ferrer", "Ana Juan", "" ], [ "Kao", "Odej", "" ] ]
Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the utilized ML models need to be updated periodically to adapt to seasonal changes and concept drifts in the sensor data. Although the increasi...
1802.07572
David McAllester
David McAllester
Information Theoretic Co-Training
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces an information theoretic co-training objective for unsupervised learning. We consider the problem of predicting the future. Rather than predict future sensations (image pixels or sound waves) we predict "hypotheses" to be confirmed by future sensations. More formally, we assume a population dist...
[ { "created": "Wed, 21 Feb 2018 14:01:20 GMT", "version": "v1" }, { "created": "Tue, 14 Aug 2018 13:06:04 GMT", "version": "v2" } ]
2018-08-15
[ [ "McAllester", "David", "" ] ]
This paper introduces an information theoretic co-training objective for unsupervised learning. We consider the problem of predicting the future. Rather than predict future sensations (image pixels or sound waves) we predict "hypotheses" to be confirmed by future sensations. More formally, we assume a population distri...
2106.07473
Nandini Ramanan
Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi, Sankeerth Rao Karingula, Jake Taylor, and Claudionor Nunes Coelho Jr
Time Series Anomaly Detection with label-free Model Selection
11 pages, 1 Figure, 4 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Anomaly detection for time-series data becomes an essential task for many data-driven applications fueled with an abundance of data and out-of-the-box machine-learning algorithms. In many real-world settings, developing a reliable anomaly model is highly challenging due to insufficient anomaly labels and the prohibit...
[ { "created": "Fri, 11 Jun 2021 00:21:06 GMT", "version": "v1" } ]
2021-06-15
[ [ "Jung", "Deokwoo", "" ], [ "Ramanan", "Nandini", "" ], [ "Amjadi", "Mehrnaz", "" ], [ "Karingula", "Sankeerth Rao", "" ], [ "Taylor", "Jake", "" ], [ "Coelho", "Claudionor Nunes", "Jr" ] ]
Anomaly detection for time-series data becomes an essential task for many data-driven applications fueled with an abundance of data and out-of-the-box machine-learning algorithms. In many real-world settings, developing a reliable anomaly model is highly challenging due to insufficient anomaly labels and the prohibitiv...
1504.05477
Christopher Musco
Cameron Musco and Christopher Musco
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Neural Information Processing Systems 2015
null
null
null
cs.DS cs.LG cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since being analyzed by Rokhlin, Szlam, and Tygert and popularized by Halko, Martinsson, and Tropp, randomized Simultaneous Power Iteration has become the method of choice for approximate singular value decomposition. It is more accurate than simpler sketching algorithms, yet still converges quickly for any matrix, i...
[ { "created": "Tue, 21 Apr 2015 15:48:44 GMT", "version": "v1" }, { "created": "Sat, 6 Jun 2015 23:43:50 GMT", "version": "v2" }, { "created": "Wed, 1 Jul 2015 03:55:11 GMT", "version": "v3" }, { "created": "Fri, 30 Oct 2015 19:35:08 GMT", "version": "v4" } ]
2015-11-02
[ [ "Musco", "Cameron", "" ], [ "Musco", "Christopher", "" ] ]
Since being analyzed by Rokhlin, Szlam, and Tygert and popularized by Halko, Martinsson, and Tropp, randomized Simultaneous Power Iteration has become the method of choice for approximate singular value decomposition. It is more accurate than simpler sketching algorithms, yet still converges quickly for any matrix, ind...
1208.4528
Mohamed I Shehata
E. Ahmed, M. I. Shehata and H. A. A. El-Saka
On Dynamical Cournot Game on a Graph
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cournot dynamical game is studied on a graph. The stability of the system is studied. Prisoner's dilemma game is used to model natural gas transmission.
[ { "created": "Fri, 13 Jul 2012 05:40:46 GMT", "version": "v1" } ]
2012-08-23
[ [ "Ahmed", "E.", "" ], [ "Shehata", "M. I.", "" ], [ "El-Saka", "H. A. A.", "" ] ]
Cournot dynamical game is studied on a graph. The stability of the system is studied. Prisoner's dilemma game is used to model natural gas transmission.
1810.02276
Muhammad Amjad
Muhammad Amjad and Leila Musavian
Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Grant-free non-orthogonal multiple access (NOMA) has been regarded as a key-enabler technology for ultra-reliable and low-latency communications (URLLC). In this paper, we analyse the performance of NOMA with short packet communications for URLLC. In this regard, the overall packet loss probability consists of transm...
[ { "created": "Thu, 4 Oct 2018 15:30:12 GMT", "version": "v1" } ]
2018-10-05
[ [ "Amjad", "Muhammad", "" ], [ "Musavian", "Leila", "" ] ]
Grant-free non-orthogonal multiple access (NOMA) has been regarded as a key-enabler technology for ultra-reliable and low-latency communications (URLLC). In this paper, we analyse the performance of NOMA with short packet communications for URLLC. In this regard, the overall packet loss probability consists of transmis...
1902.07535
Akira Imakura
Akira Imakura and Tetsuya Sakurai
Data collaboration analysis for distributed datasets
7 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a data collaboration analysis method for distributed datasets. The proposed method is a centralized machine learning while training datasets and models remain distributed over some institutions. Recently, data became large and distributed with decreasing costs of data collection. If we can c...
[ { "created": "Wed, 20 Feb 2019 12:33:39 GMT", "version": "v1" } ]
2019-02-21
[ [ "Imakura", "Akira", "" ], [ "Sakurai", "Tetsuya", "" ] ]
In this paper, we propose a data collaboration analysis method for distributed datasets. The proposed method is a centralized machine learning while training datasets and models remain distributed over some institutions. Recently, data became large and distributed with decreasing costs of data collection. If we can cen...
1809.09293
Vaneet Aggarwal
Vaneet Aggarwal and Hamed Asadi and Mayank Gupta and Jae Joong Lee and Denny Yu
Covfefe: A Computer Vision Approach For Estimating Force Exertion
12 pages
null
null
null
cs.HC cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cumulative exposure to repetitive and forceful activities may lead to musculoskeletal injuries which not only reduce workers' efficiency and productivity, but also affect their quality of life. Thus, widely accessible techniques for reliable detection of unsafe muscle force exertion levels for human activity is neces...
[ { "created": "Tue, 25 Sep 2018 02:45:19 GMT", "version": "v1" } ]
2018-09-26
[ [ "Aggarwal", "Vaneet", "" ], [ "Asadi", "Hamed", "" ], [ "Gupta", "Mayank", "" ], [ "Lee", "Jae Joong", "" ], [ "Yu", "Denny", "" ] ]
Cumulative exposure to repetitive and forceful activities may lead to musculoskeletal injuries which not only reduce workers' efficiency and productivity, but also affect their quality of life. Thus, widely accessible techniques for reliable detection of unsafe muscle force exertion levels for human activity is necessa...
0707.2436
Massimiliano Laddomada Ph.D.
Massimiliano Laddomada
On the Polyphase Decomposition for Design of Generalized Comb Decimation Filters
Submitted to IEEE TCAS-I, February 2007; 11 double-column pages, 9 figures, 1 table
null
10.1109/TCSI.2008.920136
null
cs.OH
null
Generalized comb filters (GCFs) are efficient anti-aliasing decimation filters with improved selectivity and quantization noise (QN) rejection performance around the so called folding bands with respect to classical comb filters. In this paper, we address the design of GCF filters by proposing an efficient partial ...
[ { "created": "Tue, 17 Jul 2007 05:38:30 GMT", "version": "v1" } ]
2016-11-18
[ [ "Laddomada", "Massimiliano", "" ] ]
Generalized comb filters (GCFs) are efficient anti-aliasing decimation filters with improved selectivity and quantization noise (QN) rejection performance around the so called folding bands with respect to classical comb filters. In this paper, we address the design of GCF filters by proposing an efficient partial poly...
2311.12688
Paul Scemama
Paul Scemama, Ariel Kapusta
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
26 pages, 18 figures
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
Bayesian deep learning and conformal prediction are two methods that have been used to convey uncertainty and increase safety in machine learning systems. We focus on combining Bayesian deep learning with split conformal prediction and how this combination effects out-of-distribution coverage; particularly in the cas...
[ { "created": "Tue, 21 Nov 2023 15:50:37 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 17:00:03 GMT", "version": "v2" } ]
2024-03-08
[ [ "Scemama", "Paul", "" ], [ "Kapusta", "Ariel", "" ] ]
Bayesian deep learning and conformal prediction are two methods that have been used to convey uncertainty and increase safety in machine learning systems. We focus on combining Bayesian deep learning with split conformal prediction and how this combination effects out-of-distribution coverage; particularly in the case ...
2110.06817
Matteo Romanello
Matteo Romanello, Sven Najem-Meyer and Bruce Robertson
Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs
null
null
null
null
cs.DL cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Together with critical editions and translations, commentaries are one of the main genres of publication in literary and textual scholarship, and have a century-long tradition. Yet, the exploitation of thousands of digitized historical commentaries was hitherto hindered by the poor quality of Optical Character Recogn...
[ { "created": "Wed, 13 Oct 2021 16:01:16 GMT", "version": "v1" } ]
2021-10-14
[ [ "Romanello", "Matteo", "" ], [ "Najem-Meyer", "Sven", "" ], [ "Robertson", "Bruce", "" ] ]
Together with critical editions and translations, commentaries are one of the main genres of publication in literary and textual scholarship, and have a century-long tradition. Yet, the exploitation of thousands of digitized historical commentaries was hitherto hindered by the poor quality of Optical Character Recognit...
1710.00217
Anindya Maiti
Anindya Maiti, Ryan Heard, Mohd Sabra, Murtuza Jadliwala
Towards Inferring Mechanical Lock Combinations using Wrist-Wearables as a Side-Channel
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Wrist-wearables such as smartwatches and fitness bands are equipped with a variety of high-precision sensors that support novel contextual and activity-based applications. The presence of a diverse set of on-board sensors, however, also expose an additional attack surface which, if not adequately protected, could be ...
[ { "created": "Sat, 30 Sep 2017 16:18:03 GMT", "version": "v1" }, { "created": "Tue, 10 Jul 2018 20:30:00 GMT", "version": "v2" }, { "created": "Wed, 26 Sep 2018 20:38:12 GMT", "version": "v3" } ]
2018-09-28
[ [ "Maiti", "Anindya", "" ], [ "Heard", "Ryan", "" ], [ "Sabra", "Mohd", "" ], [ "Jadliwala", "Murtuza", "" ] ]
Wrist-wearables such as smartwatches and fitness bands are equipped with a variety of high-precision sensors that support novel contextual and activity-based applications. The presence of a diverse set of on-board sensors, however, also expose an additional attack surface which, if not adequately protected, could be po...
1012.5314
Filippo Radicchi
Filippo Radicchi, Claudio Castellano
Rescaling citations of publications in physics
8 pages, 10 figures, 1 table
Phys. Rev. E 83, 046116 (2011)
10.1103/PhysRevE.83.046116
null
cs.DL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyze the citation distributions of all papers published in Physical Review journals between 1985 and 2009. The average number of citations received by papers published in a given year and in a given field is computed. Large variations are found, showing that it is not fair to compare citation numbers across fie...
[ { "created": "Thu, 23 Dec 2010 22:37:27 GMT", "version": "v1" }, { "created": "Fri, 22 Apr 2011 20:21:42 GMT", "version": "v2" } ]
2015-03-17
[ [ "Radicchi", "Filippo", "" ], [ "Castellano", "Claudio", "" ] ]
We analyze the citation distributions of all papers published in Physical Review journals between 1985 and 2009. The average number of citations received by papers published in a given year and in a given field is computed. Large variations are found, showing that it is not fair to compare citation numbers across field...
2107.05368
Golsa Heidari
Golsa Heidari, Kamran Zamanifar
A Three Phase Semantic Web Matchmaker
14 pages, 1 figure, International Journal of Smart Home. arXiv admin note: text overlap with arXiv:2107.02609
International Journal of Smart Home, Vol.4, No.3, July, 2010
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by/4.0/
Since using environments that are made according to the service oriented architecture, we have more effective and dynamic applications. Semantic matchmaking process is finding valuable service candidates for substitution. It is a very important aspect of using semantic Web Services. Our proposed matchmaker algorithm ...
[ { "created": "Tue, 6 Jul 2021 13:39:11 GMT", "version": "v1" } ]
2021-07-13
[ [ "Heidari", "Golsa", "" ], [ "Zamanifar", "Kamran", "" ] ]
Since using environments that are made according to the service oriented architecture, we have more effective and dynamic applications. Semantic matchmaking process is finding valuable service candidates for substitution. It is a very important aspect of using semantic Web Services. Our proposed matchmaker algorithm pe...
1810.01791
Anil Koyuncu
Anil Koyuncu and Kui Liu and Tegawend\'e F. Bissyand\'e and Dongsun Kim and Jacques Klein and Martin Monperrus and Yves Le Traon
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair
31 pages, 11 figures
Empirical Software Engineering, Springer Verlag, 2020
10.1007/s10664-019-09780-z
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Patching is a common activity in software development. It is generally performed on a source code base to address bugs or add new functionalities. In this context, given the recurrence of bugs across projects, the associated similar patches can be leveraged to extract generic fix actions. While the literature include...
[ { "created": "Wed, 3 Oct 2018 15:21:20 GMT", "version": "v1" }, { "created": "Mon, 30 Sep 2019 11:44:54 GMT", "version": "v2" } ]
2023-05-05
[ [ "Koyuncu", "Anil", "" ], [ "Liu", "Kui", "" ], [ "Bissyandé", "Tegawendé F.", "" ], [ "Kim", "Dongsun", "" ], [ "Klein", "Jacques", "" ], [ "Monperrus", "Martin", "" ], [ "Traon", "Yves Le", "" ] ]
Patching is a common activity in software development. It is generally performed on a source code base to address bugs or add new functionalities. In this context, given the recurrence of bugs across projects, the associated similar patches can be leveraged to extract generic fix actions. While the literature includes ...
1401.8030
Asif Haque
Asif Haque
Transit Fare Arbitrage: Case Study of San Francisco Bay Area Rapid Transit (BART) System
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transit fare arbitrage is the scenario when two or more commuters agree to swap tickets during travel in such a way that total cost is lower than otherwise. Such arbitrage allows pricing inefficiencies to be explored and exploited, leading to improved pricing models. In this paper we discuss the basics of fare arbitr...
[ { "created": "Thu, 30 Jan 2014 23:45:01 GMT", "version": "v1" } ]
2014-02-03
[ [ "Haque", "Asif", "" ] ]
Transit fare arbitrage is the scenario when two or more commuters agree to swap tickets during travel in such a way that total cost is lower than otherwise. Such arbitrage allows pricing inefficiencies to be explored and exploited, leading to improved pricing models. In this paper we discuss the basics of fare arbitrag...
2103.09847
Lin Chen
Lin Chen, Bruno Scherrer, Peter L. Bartlett
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
null
null
null
null
cs.LG cs.AI math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the sample complexity of policy evaluation in infinite-horizon offline reinforcement learning (also known as the off-policy evaluation problem) with linear function approximation. We identify a hard regime $d\gamma^{2}>1$, where $d$ is the dimension of the feature vector and $\gamma$ is ...
[ { "created": "Wed, 17 Mar 2021 18:18:57 GMT", "version": "v1" } ]
2021-03-19
[ [ "Chen", "Lin", "" ], [ "Scherrer", "Bruno", "" ], [ "Bartlett", "Peter L.", "" ] ]
In this paper, we investigate the sample complexity of policy evaluation in infinite-horizon offline reinforcement learning (also known as the off-policy evaluation problem) with linear function approximation. We identify a hard regime $d\gamma^{2}>1$, where $d$ is the dimension of the feature vector and $\gamma$ is th...
2210.05364
Yu Wei Tan
Yu Wei Tan, Xiaohan Cui and Anand Bhojan
Hybrid MBlur: Using Ray Tracing to Solve the Partial Occlusion Artifacts in Real-Time Rendering of Motion Blur Effect
null
ACM SIGGRAPH 2020 Posters
10.1145/3388770.3407436
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
For a foreground object in motion, details of its background which would otherwise be hidden are uncovered through its inner blur. This paper presents a novel hybrid motion blur rendering technique combining post-process image filtering and hardware-accelerated ray tracing. In each frame, we advance rays recursively ...
[ { "created": "Tue, 11 Oct 2022 11:47:59 GMT", "version": "v1" } ]
2022-10-12
[ [ "Tan", "Yu Wei", "" ], [ "Cui", "Xiaohan", "" ], [ "Bhojan", "Anand", "" ] ]
For a foreground object in motion, details of its background which would otherwise be hidden are uncovered through its inner blur. This paper presents a novel hybrid motion blur rendering technique combining post-process image filtering and hardware-accelerated ray tracing. In each frame, we advance rays recursively in...
2009.08497
Tarek Richard Besold
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
null
null
null
null
cs.LG cs.AI cs.CV cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
After a surge in popularity of supervised Deep Learning, the desire to reduce the dependence on curated, labelled data sets and to leverage the vast quantities of unlabelled data available recently triggered renewed interest in unsupervised learning algorithms. Despite a significantly improved performance due to appr...
[ { "created": "Thu, 17 Sep 2020 18:47:06 GMT", "version": "v1" } ]
2020-09-21
[ [ "Zaadnoordijk", "Lorijn", "" ], [ "Besold", "Tarek R.", "" ], [ "Cusack", "Rhodri", "" ] ]
After a surge in popularity of supervised Deep Learning, the desire to reduce the dependence on curated, labelled data sets and to leverage the vast quantities of unlabelled data available recently triggered renewed interest in unsupervised learning algorithms. Despite a significantly improved performance due to approa...
1907.00148
Amir Bar
Amir Bar, Michal Mauda, Yoni Turner, Michal Safadi and Eldad Elnekave
Improved ICH classification using task-dependent learning
IEEE International Symposium on Biomedical Imaging (ISBI) 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Head CT is one of the most commonly performed imaging studied in the Emergency Department setting and Intracranial hemorrhage (ICH) is among the most critical and timesensitive findings to be detected on Head CT. We present BloodNet, a deep learning architecture designed for optimal triaging of Head CTs, with the goa...
[ { "created": "Sat, 29 Jun 2019 05:26:24 GMT", "version": "v1" } ]
2019-07-02
[ [ "Bar", "Amir", "" ], [ "Mauda", "Michal", "" ], [ "Turner", "Yoni", "" ], [ "Safadi", "Michal", "" ], [ "Elnekave", "Eldad", "" ] ]
Head CT is one of the most commonly performed imaging studied in the Emergency Department setting and Intracranial hemorrhage (ICH) is among the most critical and timesensitive findings to be detected on Head CT. We present BloodNet, a deep learning architecture designed for optimal triaging of Head CTs, with the goal ...
2109.13922
Andreas Martin
Charuta Pande, Hans Friedrich Witschel and Andreas Martin
New Hybrid Techniques for Business Recommender Systems
This article is an extended version of the peer-reviewed publication by Witschel and Martin (2018) and comprises parts from the MSc thesis of the first author Pande (2019)
null
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by/4.0/
Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided e.g. in consultancy via the use of recommender systems. We explore the special characteristics of such knowledge-based B2B services ...
[ { "created": "Mon, 27 Sep 2021 11:21:31 GMT", "version": "v1" }, { "created": "Mon, 6 Dec 2021 13:15:45 GMT", "version": "v2" } ]
2021-12-07
[ [ "Pande", "Charuta", "" ], [ "Witschel", "Hans Friedrich", "" ], [ "Martin", "Andreas", "" ] ]
Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided e.g. in consultancy via the use of recommender systems. We explore the special characteristics of such knowledge-based B2B services an...
2305.19917
Georgios Zacharopoulos
Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli
ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems
4 pages, SSH-S0C DAC 2023 Workshop
null
null
null
cs.AR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When utilized effectively, Supercloud heterogeneous systems have the potential to significantly enhance performance. Our ReDSEa tool-chain automates the mapping, load balancing, scheduling, parallelism, and overlapping processes for the Triangular System Solver (TS) on a heterogeneous system consisting of a Huawei Ku...
[ { "created": "Wed, 31 May 2023 14:51:08 GMT", "version": "v1" } ]
2023-06-01
[ [ "Zacharopoulos", "Georgios", "" ], [ "Bournias", "Ilias", "" ], [ "Vlacic", "Verner", "" ], [ "Cavigelli", "Lukas", "" ] ]
When utilized effectively, Supercloud heterogeneous systems have the potential to significantly enhance performance. Our ReDSEa tool-chain automates the mapping, load balancing, scheduling, parallelism, and overlapping processes for the Triangular System Solver (TS) on a heterogeneous system consisting of a Huawei Kunp...