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2311.17776
Gen Li
Gen Li, Deqing Sun, Laura Sevilla-Lara, Varun Jampani
One-Shot Open Affordance Learning with Foundation Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and affordances. While vision-language models excel at recognizing novel objects and scenes, they often struggle to understand finer levels of granu...
[ { "created": "Wed, 29 Nov 2023 16:23:06 GMT", "version": "v1" } ]
2023-11-30
[ [ "Li", "Gen", "" ], [ "Sun", "Deqing", "" ], [ "Sevilla-Lara", "Laura", "" ], [ "Jampani", "Varun", "" ] ]
We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and affordances. While vision-language models excel at recognizing novel objects and scenes, they often struggle to understand finer levels of granula...
2311.11666
Haiyang Ying
Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Towards holistic understanding of 3D scenes, a general 3D segmentation method is needed that can segment diverse objects without restrictions on object quantity or categories, while also reflecting the inherent hierarchical structure. To achieve this, we propose OmniSeg3D, an omniversal segmentation method aims for s...
[ { "created": "Mon, 20 Nov 2023 11:04:59 GMT", "version": "v1" } ]
2023-11-21
[ [ "Ying", "Haiyang", "" ], [ "Yin", "Yixuan", "" ], [ "Zhang", "Jinzhi", "" ], [ "Wang", "Fan", "" ], [ "Yu", "Tao", "" ], [ "Huang", "Ruqi", "" ], [ "Fang", "Lu", "" ] ]
Towards holistic understanding of 3D scenes, a general 3D segmentation method is needed that can segment diverse objects without restrictions on object quantity or categories, while also reflecting the inherent hierarchical structure. To achieve this, we propose OmniSeg3D, an omniversal segmentation method aims for seg...
2204.09996
Velko Vechev
Velko Vechev, Juan Zarate, Bernhard Thomaszewski, Otmar Hilliges
Computational Design of Kinesthetic Garments
null
null
null
null
cs.GR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Kinesthetic garments provide physical feedback on body posture and motion through tailored distributions of reinforced material. Their ability to selectively stiffen a garment's response to specific motions makes them appealing for rehabilitation, sports, robotics, and many other application fields. However, finding ...
[ { "created": "Thu, 21 Apr 2022 09:41:22 GMT", "version": "v1" } ]
2022-04-22
[ [ "Vechev", "Velko", "" ], [ "Zarate", "Juan", "" ], [ "Thomaszewski", "Bernhard", "" ], [ "Hilliges", "Otmar", "" ] ]
Kinesthetic garments provide physical feedback on body posture and motion through tailored distributions of reinforced material. Their ability to selectively stiffen a garment's response to specific motions makes them appealing for rehabilitation, sports, robotics, and many other application fields. However, finding de...
1603.08777
Wolfgang Mulzer
Pat Morin, Wolfgang Mulzer, Tommy Reddad
Encoding Arguments
50 pages, 7 figures
ACM Computing Surveys (CSUR), 50(3), July 2017, Article 46
10.1145/3084288
null
cs.IT cs.DS math.IT math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many proofs in discrete mathematics and theoretical computer science are based on the probabilistic method. To prove the existence of a good object, we pick a random object and show that it is bad with low probability. This method is effective, but the underlying probabilistic machinery can be daunting. "Encoding arg...
[ { "created": "Tue, 29 Mar 2016 14:10:43 GMT", "version": "v1" }, { "created": "Mon, 15 May 2017 13:36:55 GMT", "version": "v2" } ]
2017-08-01
[ [ "Morin", "Pat", "" ], [ "Mulzer", "Wolfgang", "" ], [ "Reddad", "Tommy", "" ] ]
Many proofs in discrete mathematics and theoretical computer science are based on the probabilistic method. To prove the existence of a good object, we pick a random object and show that it is bad with low probability. This method is effective, but the underlying probabilistic machinery can be daunting. "Encoding argum...
1606.01750
Tengda Ying
Tengda Ying, Wenjiang Feng, Weifeng Su, and Weiheng Jiang
On the Degrees of Freedom of MIMO X Networks with Non-Cooperation Transmitters
version 2, 31 pages, 7 figures, submitted
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to limited backhaul/feedback link capacity and channel state information (CSI) feedback delay, obtaining global and instantaneous channel state information at the transmitter (CSIT) is a main obstacle in practice. In this paper, novel transmission schemes are proposed for a class of interference networks that can...
[ { "created": "Mon, 6 Jun 2016 14:04:26 GMT", "version": "v1" }, { "created": "Fri, 12 Aug 2016 09:17:29 GMT", "version": "v2" } ]
2016-08-15
[ [ "Ying", "Tengda", "" ], [ "Feng", "Wenjiang", "" ], [ "Su", "Weifeng", "" ], [ "Jiang", "Weiheng", "" ] ]
Due to limited backhaul/feedback link capacity and channel state information (CSI) feedback delay, obtaining global and instantaneous channel state information at the transmitter (CSIT) is a main obstacle in practice. In this paper, novel transmission schemes are proposed for a class of interference networks that can a...
2007.12829
Guo Zhong
Shi-Xun Lina, Guo Zhongb, Ting Shu
Joint Featurewise Weighting and Lobal Structure Learning for Multi-view Subspace Clustering
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-view clustering integrates multiple feature sets, which reveal distinct aspects of the data and provide complementary information to each other, to improve the clustering performance. It remains challenging to effectively exploit complementary information across multiple views since the original data often cont...
[ { "created": "Sat, 25 Jul 2020 01:57:57 GMT", "version": "v1" } ]
2020-07-28
[ [ "Lina", "Shi-Xun", "" ], [ "Zhongb", "Guo", "" ], [ "Shu", "Ting", "" ] ]
Multi-view clustering integrates multiple feature sets, which reveal distinct aspects of the data and provide complementary information to each other, to improve the clustering performance. It remains challenging to effectively exploit complementary information across multiple views since the original data often contai...
2107.11245
Fei Zhang
Fei Zhang, Chaochen Gu, and Feng Yang
An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN
Accepted in International Conference on Guidance, Navigation and Control,2020
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Q Network (DQN) has several limitations when applied in planning a path in environment with a number of dilemmas according to our experiment. The reward function may be hard to model, and successful experience transitions are difficult to find in experience replay. In this context, this paper proposes an improve...
[ { "created": "Fri, 23 Jul 2021 14:03:04 GMT", "version": "v1" } ]
2021-07-26
[ [ "Zhang", "Fei", "" ], [ "Gu", "Chaochen", "" ], [ "Yang", "Feng", "" ] ]
Deep Q Network (DQN) has several limitations when applied in planning a path in environment with a number of dilemmas according to our experiment. The reward function may be hard to model, and successful experience transitions are difficult to find in experience replay. In this context, this paper proposes an improved ...
2010.08390
Eleni Bohacek
Eleni Bohacek, Andrew J. Coates, David R. Selviah
Volumetric Calculation of Quantization Error in 3-D Vision Systems
As submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence on 4th September 2020
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates how the inherent quantization of camera sensors introduces uncertainty in the calculated position of an observed feature during 3-D mapping. It is typically assumed that pixels and scene features are points, however, a pixel is a two-dimensional area that maps onto multiple points in the scene...
[ { "created": "Fri, 16 Oct 2020 13:48:30 GMT", "version": "v1" } ]
2020-10-19
[ [ "Bohacek", "Eleni", "" ], [ "Coates", "Andrew J.", "" ], [ "Selviah", "David R.", "" ] ]
This paper investigates how the inherent quantization of camera sensors introduces uncertainty in the calculated position of an observed feature during 3-D mapping. It is typically assumed that pixels and scene features are points, however, a pixel is a two-dimensional area that maps onto multiple points in the scene. ...
2403.05110
Jensen Gao
Jensen Gao, Annie Xie, Ted Xiao, Chelsea Finn, Dorsa Sadigh
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
RSS 2024
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data collection has become an increasingly important problem in robotic manipulation, yet there still lacks much understanding of how to effectively collect data to facilitate broad generalization. Recent works on large-scale robotic data collection typically vary many environmental factors of variation (e.g., object...
[ { "created": "Fri, 8 Mar 2024 07:15:38 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 14:18:47 GMT", "version": "v2" } ]
2024-05-22
[ [ "Gao", "Jensen", "" ], [ "Xie", "Annie", "" ], [ "Xiao", "Ted", "" ], [ "Finn", "Chelsea", "" ], [ "Sadigh", "Dorsa", "" ] ]
Data collection has become an increasingly important problem in robotic manipulation, yet there still lacks much understanding of how to effectively collect data to facilitate broad generalization. Recent works on large-scale robotic data collection typically vary many environmental factors of variation (e.g., object t...
1606.03369
Thiago Vallin Spina PhD
Thiago Vallin Spina and Alexandre Xavier Falc\~ao
FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Common users have changed from mere consumers to active producers of multimedia data content. Video editing plays an important role in this scenario, calling for simple segmentation tools that can handle fast-moving and deformable video objects with possible occlusions, color similarities with the background, among o...
[ { "created": "Fri, 10 Jun 2016 15:30:30 GMT", "version": "v1" } ]
2016-06-13
[ [ "Spina", "Thiago Vallin", "" ], [ "Falcão", "Alexandre Xavier", "" ] ]
Common users have changed from mere consumers to active producers of multimedia data content. Video editing plays an important role in this scenario, calling for simple segmentation tools that can handle fast-moving and deformable video objects with possible occlusions, color similarities with the background, among oth...
1806.09472
Andreas Brandstadt
Andreas Brandst\"adt, Raffaele Mosca
Maximum Weight Independent Sets for ($S_{1,2,4}$,Triangle)-Free Graphs in Polynomial Time
arXiv admin note: substantial text overlap with arXiv:1511.08066
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Maximum Weight Independent Set (MWIS) problem on finite undirected graphs with vertex weights asks for a set of pairwise nonadjacent vertices of maximum weight sum. MWIS is one of the most investigated and most important algorithmic graph problems; it is well known to be NP-complete, and it remains NP-complete ev...
[ { "created": "Fri, 22 Jun 2018 13:57:55 GMT", "version": "v1" }, { "created": "Fri, 11 Jan 2019 15:12:21 GMT", "version": "v2" } ]
2019-01-14
[ [ "Brandstädt", "Andreas", "" ], [ "Mosca", "Raffaele", "" ] ]
The Maximum Weight Independent Set (MWIS) problem on finite undirected graphs with vertex weights asks for a set of pairwise nonadjacent vertices of maximum weight sum. MWIS is one of the most investigated and most important algorithmic graph problems; it is well known to be NP-complete, and it remains NP-complete even...
2210.07800
Samrat Mukhopadhyay
Samrat Mukhopadhyay and Himanshu Bhusan Mishra
Multiple Choice Hard Thresholding Pursuit (MCHTP) for Simultaneous Sparse Recovery and Sparsity Order Estimation
9 pages, 4 figures, tech-report
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
We address the problem of sparse recovery using greedy compressed sensing recovery algorithms, without explicit knowledge of the sparsity. Estimating the sparsity order is a crucial problem in many practical scenarios, e.g., wireless communications, where exact value of the sparsity order of the unknown channel may b...
[ { "created": "Fri, 14 Oct 2022 13:30:36 GMT", "version": "v1" }, { "created": "Tue, 25 Oct 2022 12:50:24 GMT", "version": "v2" } ]
2022-10-26
[ [ "Mukhopadhyay", "Samrat", "" ], [ "Mishra", "Himanshu Bhusan", "" ] ]
We address the problem of sparse recovery using greedy compressed sensing recovery algorithms, without explicit knowledge of the sparsity. Estimating the sparsity order is a crucial problem in many practical scenarios, e.g., wireless communications, where exact value of the sparsity order of the unknown channel may be ...
2405.01435
Jean P. Martins
Jean Martins and Igor Almeida and Ricardo Souza and Silvia Lins
Closed-form congestion control via deep symbolic regression
null
null
null
null
cs.NI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
As mobile networks embrace the 5G era, the interest in adopting Reinforcement Learning (RL) algorithms to handle challenges in ultra-low-latency and high throughput scenarios increases. Simultaneously, the advent of packetized fronthaul networks imposes demanding requirements that traditional congestion control mecha...
[ { "created": "Thu, 28 Mar 2024 14:31:37 GMT", "version": "v1" } ]
2024-05-03
[ [ "Martins", "Jean", "" ], [ "Almeida", "Igor", "" ], [ "Souza", "Ricardo", "" ], [ "Lins", "Silvia", "" ] ]
As mobile networks embrace the 5G era, the interest in adopting Reinforcement Learning (RL) algorithms to handle challenges in ultra-low-latency and high throughput scenarios increases. Simultaneously, the advent of packetized fronthaul networks imposes demanding requirements that traditional congestion control mechani...
2111.12449
Le Yang
Le Yang, Junwei Han, Tao Zhao, Tianwei Lin, Dingwen Zhang, Jianxin Chen
Background-Click Supervision for Temporal Action Localization
To appear at TPAMI
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome this challenge, one recent work builds an action-click supervision framework. It requires similar annotation costs but c...
[ { "created": "Wed, 24 Nov 2021 12:02:52 GMT", "version": "v1" } ]
2021-11-25
[ [ "Yang", "Le", "" ], [ "Han", "Junwei", "" ], [ "Zhao", "Tao", "" ], [ "Lin", "Tianwei", "" ], [ "Zhang", "Dingwen", "" ], [ "Chen", "Jianxin", "" ] ]
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome this challenge, one recent work builds an action-click supervision framework. It requires similar annotation costs but can...
1803.05355
James Thorne
James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal
FEVER: a large-scale dataset for Fact Extraction and VERification
Updated version of NAACL2018 paper. Data is released on http://fever.ai
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The ...
[ { "created": "Wed, 14 Mar 2018 15:30:37 GMT", "version": "v1" }, { "created": "Mon, 16 Apr 2018 23:08:25 GMT", "version": "v2" }, { "created": "Tue, 18 Dec 2018 10:58:20 GMT", "version": "v3" } ]
2018-12-19
[ [ "Thorne", "James", "" ], [ "Vlachos", "Andreas", "" ], [ "Christodoulopoulos", "Christos", "" ], [ "Mittal", "Arpit", "" ] ]
In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The cl...
2003.01515
Ziqi Liu
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
null
null
null
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited budget by providing incentives such as coupons, commissions to merchants. As a result, incentive optimization is the key to maximizing the...
[ { "created": "Thu, 27 Feb 2020 18:48:55 GMT", "version": "v1" } ]
2020-03-04
[ [ "Liu", "Ziqi", "" ], [ "Wang", "Dong", "" ], [ "Yu", "Qianyu", "" ], [ "Zhang", "Zhiqiang", "" ], [ "Shen", "Yue", "" ], [ "Ma", "Jian", "" ], [ "Zhong", "Wenliang", "" ], [ "Gu", "Jinjie", ...
Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited budget by providing incentives such as coupons, commissions to merchants. As a result, incentive optimization is the key to maximizing the c...
2205.14790
Orestis Papadigenopoulos
Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
Accepted for publication to NeurIPS 2022
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The stochastic multi-armed bandit setting has been recently studied in the non-stationary regime, where the mean payoff of each action is a non-decreasing function of the number of rounds passed since it was last played. This model captures natural behavioral aspects of the users which crucially determine the perform...
[ { "created": "Sun, 29 May 2022 23:55:36 GMT", "version": "v1" }, { "created": "Wed, 12 Oct 2022 04:19:27 GMT", "version": "v2" } ]
2022-10-13
[ [ "Papadigenopoulos", "Orestis", "" ], [ "Caramanis", "Constantine", "" ], [ "Shakkottai", "Sanjay", "" ] ]
The stochastic multi-armed bandit setting has been recently studied in the non-stationary regime, where the mean payoff of each action is a non-decreasing function of the number of rounds passed since it was last played. This model captures natural behavioral aspects of the users which crucially determine the performan...
2012.15231
Ivan Letteri
Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna
A Novel Resampling Technique for Imbalanced Dataset Optimization
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Despite the enormous amount of data, particular events of interest can still be quite rare. Classification of rare events is a common problem in many domains, such as fraudulent transactions, malware traffic analysis and network intrusion detection. Many studies have been developed for malware detection using machine...
[ { "created": "Wed, 30 Dec 2020 17:17:08 GMT", "version": "v1" } ]
2021-01-01
[ [ "Letteri", "Ivan", "" ], [ "Di Cecco", "Antonio", "" ], [ "Dyoub", "Abeer", "" ], [ "Della Penna", "Giuseppe", "" ] ]
Despite the enormous amount of data, particular events of interest can still be quite rare. Classification of rare events is a common problem in many domains, such as fraudulent transactions, malware traffic analysis and network intrusion detection. Many studies have been developed for malware detection using machine l...
1907.00240
Dennis Soemers
Matthew Stephenson, \'Eric Piette, Dennis J. N. J. Soemers, Cameron Browne
An Overview of the Ludii General Game System
Accepted at the IEEE Conference on Games (CoG) 2019 (Demo paper)
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Digital Ludeme Project (DLP) aims to reconstruct and analyse over 1000 traditional strategy games using modern techniques. One of the key aspects of this project is the development of Ludii, a general game system that will be able to model and play the complete range of games required by this project. Such an und...
[ { "created": "Sat, 29 Jun 2019 17:16:27 GMT", "version": "v1" } ]
2019-07-02
[ [ "Stephenson", "Matthew", "" ], [ "Piette", "Éric", "" ], [ "Soemers", "Dennis J. N. J.", "" ], [ "Browne", "Cameron", "" ] ]
The Digital Ludeme Project (DLP) aims to reconstruct and analyse over 1000 traditional strategy games using modern techniques. One of the key aspects of this project is the development of Ludii, a general game system that will be able to model and play the complete range of games required by this project. Such an under...
1812.01570
Yang Liu
Yang Liu, Wenwu Wang, Volkan Kilic
Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking
In Proceedings of the LOCATA Challenge Workshop - a satellite event of IWAENC 2018 (arXiv:1811.08482 )
null
null
LOCATAchallenge/2018/04
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-zero diffusion particle flow Sequential Monte Carlo probability hypothesis density (NPF-SMC-PHD) filtering has been recently introduced for multi-speaker tracking. However, the NPF does not consider the missing detection which plays a key role in estimation of the number of speakers with their states. To address ...
[ { "created": "Tue, 4 Dec 2018 18:20:27 GMT", "version": "v1" } ]
2018-12-05
[ [ "Liu", "Yang", "" ], [ "Wang", "Wenwu", "" ], [ "Kilic", "Volkan", "" ] ]
Non-zero diffusion particle flow Sequential Monte Carlo probability hypothesis density (NPF-SMC-PHD) filtering has been recently introduced for multi-speaker tracking. However, the NPF does not consider the missing detection which plays a key role in estimation of the number of speakers with their states. To address th...
2406.05064
Subhojyoti Mukherjee
Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert Nowak
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In this paper, we study multi-task structured bandit problem where the goal is to learn a near-optimal algorithm that minimizes cumulative regret. The tasks share a common structure and the algorithm exploits the shared structure to minimize the cumulative regret for an unseen but related test task. We use a transfor...
[ { "created": "Fri, 7 Jun 2024 16:34:31 GMT", "version": "v1" } ]
2024-06-10
[ [ "Mukherjee", "Subhojyoti", "" ], [ "Hanna", "Josiah P.", "" ], [ "Xie", "Qiaomin", "" ], [ "Nowak", "Robert", "" ] ]
In this paper, we study multi-task structured bandit problem where the goal is to learn a near-optimal algorithm that minimizes cumulative regret. The tasks share a common structure and the algorithm exploits the shared structure to minimize the cumulative regret for an unseen but related test task. We use a transforme...
2309.10289
Aocheng Shen
Zhiyi Huang, Hanrui Jiang, Aocheng Shen, Junkai Song, Zhiang Wu, Qiankun Zhang
Online Matching with Stochastic Rewards: Advanced Analyses Using Configuration Linear Programs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mehta and Panigrahi (2012) proposed Online Matching with Stochastic Rewards, which generalizes the Online Bipartite Matching problem of Karp, Vazirani, and Vazirani (1990) by associating the edges with success probabilities. This new feature captures the pay-per-click model in online advertising. Recently, Huang and ...
[ { "created": "Tue, 19 Sep 2023 03:35:06 GMT", "version": "v1" } ]
2023-09-20
[ [ "Huang", "Zhiyi", "" ], [ "Jiang", "Hanrui", "" ], [ "Shen", "Aocheng", "" ], [ "Song", "Junkai", "" ], [ "Wu", "Zhiang", "" ], [ "Zhang", "Qiankun", "" ] ]
Mehta and Panigrahi (2012) proposed Online Matching with Stochastic Rewards, which generalizes the Online Bipartite Matching problem of Karp, Vazirani, and Vazirani (1990) by associating the edges with success probabilities. This new feature captures the pay-per-click model in online advertising. Recently, Huang and Zh...
2009.01456
Minhyuk Sung
Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
SIGGRAPH Asia 2020
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example deformations to new shapes while preserving the plausibility of the deformed shape(s). Existing approaches assume access to point-level or pa...
[ { "created": "Thu, 3 Sep 2020 05:26:32 GMT", "version": "v1" } ]
2020-09-04
[ [ "Sung", "Minhyuk", "" ], [ "Jiang", "Zhenyu", "" ], [ "Achlioptas", "Panos", "" ], [ "Mitra", "Niloy J.", "" ], [ "Guibas", "Leonidas J.", "" ] ]
Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example deformations to new shapes while preserving the plausibility of the deformed shape(s). Existing approaches assume access to point-level or part...
1904.04090
Thorsten Wissmann
J. Leroux and M. Praveen and Ph. Schnoebelen and G. Sutre
On Functions Weakly Computable by Pushdown Petri Nets and Related Systems
null
Logical Methods in Computer Science, Volume 15, Issue 4 (December 18, 2019) lmcs:5362
10.23638/LMCS-15(4:15)2019
null
cs.FL cs.LO
http://creativecommons.org/licenses/by/4.0/
We consider numerical functions weakly computable by grammar-controlled vector addition systems (GVASes, a variant of pushdown Petri nets). GVASes can weakly compute all fast growing functions $F_\alpha$ for $\alpha<\omega^\omega$, hence they are computationally more powerful than standard vector addition systems. On...
[ { "created": "Mon, 8 Apr 2019 14:27:18 GMT", "version": "v1" }, { "created": "Mon, 25 Nov 2019 17:09:00 GMT", "version": "v2" }, { "created": "Tue, 17 Dec 2019 09:51:33 GMT", "version": "v3" } ]
2023-06-22
[ [ "Leroux", "J.", "" ], [ "Praveen", "M.", "" ], [ "Schnoebelen", "Ph.", "" ], [ "Sutre", "G.", "" ] ]
We consider numerical functions weakly computable by grammar-controlled vector addition systems (GVASes, a variant of pushdown Petri nets). GVASes can weakly compute all fast growing functions $F_\alpha$ for $\alpha<\omega^\omega$, hence they are computationally more powerful than standard vector addition systems. On t...
2408.02193
Weijie Lv
Weijie Lv, Xuan Xia and Sheng-Jun Huang
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have shown great potential in code-related tasks, yet open-source models lag behind their closed-source counterparts. To bridge this performance gap, existing methods generate vast amounts of synthetic data for fine-tuning, leading to inefficiencies in training. Motivated by the need for ...
[ { "created": "Mon, 5 Aug 2024 02:38:48 GMT", "version": "v1" } ]
2024-08-06
[ [ "Lv", "Weijie", "" ], [ "Xia", "Xuan", "" ], [ "Huang", "Sheng-Jun", "" ] ]
Large language models (LLMs) have shown great potential in code-related tasks, yet open-source models lag behind their closed-source counterparts. To bridge this performance gap, existing methods generate vast amounts of synthetic data for fine-tuning, leading to inefficiencies in training. Motivated by the need for mo...
2209.10414
Van Nguyen
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, Michael Fu, John Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk and Dinh Phung
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
null
null
null
null
cs.CR cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Software vulnerabilities are a serious and crucial concern. Typically, in a program or function consisting of hundreds or thousands of source code statements, there are only a few statements causing the corresponding vulnerabilities. Most current approaches to vulnerability labelling are done on a function or program...
[ { "created": "Tue, 20 Sep 2022 00:46:20 GMT", "version": "v1" }, { "created": "Wed, 12 Jun 2024 03:52:41 GMT", "version": "v2" } ]
2024-06-13
[ [ "Nguyen", "Van", "" ], [ "Le", "Trung", "" ], [ "Tantithamthavorn", "Chakkrit", "" ], [ "Fu", "Michael", "" ], [ "Grundy", "John", "" ], [ "Nguyen", "Hung", "" ], [ "Camtepe", "Seyit", "" ], [ "Quir...
Software vulnerabilities are a serious and crucial concern. Typically, in a program or function consisting of hundreds or thousands of source code statements, there are only a few statements causing the corresponding vulnerabilities. Most current approaches to vulnerability labelling are done on a function or program l...
2407.19813
Yuan Xia
Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang
Improving Retrieval Augmented Language Model with Self-Reasoning
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
The Retrieval-Augmented Language Model (RALM) has shown remarkable performance on knowledge-intensive tasks by incorporating external knowledge during inference, which mitigates the factual hallucinations inherited in large language models (LLMs). Despite these advancements, challenges persist in the implementation o...
[ { "created": "Mon, 29 Jul 2024 09:05:10 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2024 12:11:17 GMT", "version": "v2" } ]
2024-08-05
[ [ "Xia", "Yuan", "" ], [ "Zhou", "Jingbo", "" ], [ "Shi", "Zhenhui", "" ], [ "Chen", "Jun", "" ], [ "Huang", "Haifeng", "" ] ]
The Retrieval-Augmented Language Model (RALM) has shown remarkable performance on knowledge-intensive tasks by incorporating external knowledge during inference, which mitigates the factual hallucinations inherited in large language models (LLMs). Despite these advancements, challenges persist in the implementation of ...
1602.01890
Archith Bency
Archith J. Bency, S. Karthikeyan, Carter De Leo, Santhoshkumar Sunderrajan and B. S. Manjunath
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval
Under review with the IEEE Transactions on Circuits and Systems for Video Technology
null
10.1109/TCSVT.2016.2555718
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a method to leverage human knowledge in the form of annotated video libraries in a novel search and retrieval based setting to track objects i...
[ { "created": "Fri, 5 Feb 2016 00:01:13 GMT", "version": "v1" } ]
2016-04-20
[ [ "Bency", "Archith J.", "" ], [ "Karthikeyan", "S.", "" ], [ "De Leo", "Carter", "" ], [ "Sunderrajan", "Santhoshkumar", "" ], [ "Manjunath", "B. S.", "" ] ]
Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a method to leverage human knowledge in the form of annotated video libraries in a novel search and retrieval based setting to track objects in ...
1811.04319
Ronen Tamari
Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text
Accepted to NAACL 2019 ESSP workshop (https://scientific-knowledge.github.io/)
null
null
null
cs.LG cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding procedural text requires tracking entities, actions and effects as the narrative unfolds. We focus on the challenging real-world problem of action-graph extraction from material science papers, where language is highly specialized and data annotation is expensive and scarce. We propose a novel approach,...
[ { "created": "Sat, 10 Nov 2018 21:45:07 GMT", "version": "v1" }, { "created": "Sat, 22 Dec 2018 16:59:00 GMT", "version": "v2" }, { "created": "Sat, 6 Apr 2019 19:19:05 GMT", "version": "v3" } ]
2019-04-09
[ [ "Tamari", "Ronen", "" ], [ "Shindo", "Hiroyuki", "" ], [ "Shahaf", "Dafna", "" ], [ "Matsumoto", "Yuji", "" ] ]
Understanding procedural text requires tracking entities, actions and effects as the narrative unfolds. We focus on the challenging real-world problem of action-graph extraction from material science papers, where language is highly specialized and data annotation is expensive and scarce. We propose a novel approach, T...
cs/0303009
Tomi Janhunen
T. Janhunen, I. Niemela, D. Seipel, P. Simons, J. You
Unfolding Partiality and Disjunctions in Stable Model Semantics
49 pages, 4 figures, 1 table
null
null
null
cs.AI
null
The paper studies an implementation methodology for partial and disjunctive stable models where partiality and disjunctions are unfolded from a logic program so that an implementation of stable models for normal (disjunction-free) programs can be used as the core inference engine. The unfolding is done in two separat...
[ { "created": "Fri, 14 Mar 2003 14:29:32 GMT", "version": "v1" }, { "created": "Fri, 2 Jan 2004 14:27:37 GMT", "version": "v2" } ]
2007-05-23
[ [ "Janhunen", "T.", "" ], [ "Niemela", "I.", "" ], [ "Seipel", "D.", "" ], [ "Simons", "P.", "" ], [ "You", "J.", "" ] ]
The paper studies an implementation methodology for partial and disjunctive stable models where partiality and disjunctions are unfolded from a logic program so that an implementation of stable models for normal (disjunction-free) programs can be used as the core inference engine. The unfolding is done in two separate ...
2004.08552
Xulei Yang
Gabriel Tjio, Xulei Yang, Jia Mei Hong, Sum Thai Wong, Vanessa Ding, Andre Choo and Yi Su
Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks
9 pages, 6 figures, 3 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Manual annotation of pathology slides for cancer diagnosis is laborious and repetitive. Therefore, much effort has been devoted to develop computer vision solutions. Our approach, (FLASH), is based on a Deep Convolutional Neural Network (DCNN) architecture. It reduces computational costs and is faster than typical de...
[ { "created": "Sat, 18 Apr 2020 08:24:27 GMT", "version": "v1" } ]
2020-04-21
[ [ "Tjio", "Gabriel", "" ], [ "Yang", "Xulei", "" ], [ "Hong", "Jia Mei", "" ], [ "Wong", "Sum Thai", "" ], [ "Ding", "Vanessa", "" ], [ "Choo", "Andre", "" ], [ "Su", "Yi", "" ] ]
Manual annotation of pathology slides for cancer diagnosis is laborious and repetitive. Therefore, much effort has been devoted to develop computer vision solutions. Our approach, (FLASH), is based on a Deep Convolutional Neural Network (DCNN) architecture. It reduces computational costs and is faster than typical deep...
2312.08212
Jingsheng Gao
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
LAMM: Label Alignment for Multi-Modal Prompt Learning
Accepted at AAAI 2024 Main Conference
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
With the success of pre-trained visual-language (VL) models such as CLIP in visual representation tasks, transferring pre-trained models to downstream tasks has become a crucial paradigm. Recently, the prompt tuning paradigm, which draws inspiration from natural language processing (NLP), has made significant progres...
[ { "created": "Wed, 13 Dec 2023 15:29:52 GMT", "version": "v1" } ]
2023-12-14
[ [ "Gao", "Jingsheng", "" ], [ "Ruan", "Jiacheng", "" ], [ "Xiang", "Suncheng", "" ], [ "Yu", "Zefang", "" ], [ "Ji", "Ke", "" ], [ "Xie", "Mingye", "" ], [ "Liu", "Ting", "" ], [ "Fu", "Yuzhuo", ...
With the success of pre-trained visual-language (VL) models such as CLIP in visual representation tasks, transferring pre-trained models to downstream tasks has become a crucial paradigm. Recently, the prompt tuning paradigm, which draws inspiration from natural language processing (NLP), has made significant progress ...
1709.08350
Di Zhuang
Di Zhuang, J. Morris Chang, Mingchen Li
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
14 pages, 6 figures, 2 tables, Accepted for IEEE Transactions on Knowledge and Data Engineering
null
10.1109/TKDE.2019.2951419
null
cs.SI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Community detection is of great importance for online social network analysis. The volume, variety and velocity of data generated by today's online social networks are advancing the way researchers analyze those networks. For instance, real-world networks, such as Facebook, LinkedIn and Twitter, are inherently growin...
[ { "created": "Mon, 25 Sep 2017 07:11:44 GMT", "version": "v1" }, { "created": "Mon, 20 May 2019 14:10:50 GMT", "version": "v2" }, { "created": "Sat, 9 Nov 2019 20:10:02 GMT", "version": "v3" } ]
2019-11-12
[ [ "Zhuang", "Di", "" ], [ "Chang", "J. Morris", "" ], [ "Li", "Mingchen", "" ] ]
Community detection is of great importance for online social network analysis. The volume, variety and velocity of data generated by today's online social networks are advancing the way researchers analyze those networks. For instance, real-world networks, such as Facebook, LinkedIn and Twitter, are inherently growing ...
1809.10134
Philip Fong
Juan Carlos Fuentes Carranza, Philip W. L. Fong
Brokering Policies and Execution Monitors for IoT Middleware
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event-based systems lie at the heart of many cloud-based Internet-of-Things (IoT) platforms. This combination of the Broker architectural style and the Publisher-Subscriber design pattern provides a way for smart devices to communicate and coordinate with one another. The present design of these cloud-based IoT frame...
[ { "created": "Wed, 26 Sep 2018 17:38:58 GMT", "version": "v1" }, { "created": "Thu, 27 Sep 2018 17:44:47 GMT", "version": "v2" } ]
2018-09-28
[ [ "Carranza", "Juan Carlos Fuentes", "" ], [ "Fong", "Philip W. L.", "" ] ]
Event-based systems lie at the heart of many cloud-based Internet-of-Things (IoT) platforms. This combination of the Broker architectural style and the Publisher-Subscriber design pattern provides a way for smart devices to communicate and coordinate with one another. The present design of these cloud-based IoT framewo...
1108.2157
Rajeev Raman
Alexander Golynski and Alessio Orlandi and Rajeev Raman and S. Srinivasa Rao
Optimal Indexes for Sparse Bit Vectors
Some of these results were published in preliminary form in the proceedings of SWAT 2008. There are new upper bounds not in the SWAT version, however
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of supporting Rank() and Select() operations on a bit vector of length m with n 1 bits. The problem is considered in the succinct index model, where the bit vector is stored in "read-only" memory and an additional data structure, called the index, is created during pre-processing to help answe...
[ { "created": "Wed, 10 Aug 2011 11:36:22 GMT", "version": "v1" } ]
2015-03-19
[ [ "Golynski", "Alexander", "" ], [ "Orlandi", "Alessio", "" ], [ "Raman", "Rajeev", "" ], [ "Rao", "S. Srinivasa", "" ] ]
We consider the problem of supporting Rank() and Select() operations on a bit vector of length m with n 1 bits. The problem is considered in the succinct index model, where the bit vector is stored in "read-only" memory and an additional data structure, called the index, is created during pre-processing to help answer ...
2212.01855
Mahender Kumar
Mahender Kumar and Satish Chand
Pairing-Friendly Elliptic Curves: Revisited Taxonomy, Attacks and Security Concern
null
null
null
null
cs.CR
http://creativecommons.org/publicdomain/zero/1.0/
Major families of pairing-friendly elliptic curves, including BN, BLS12, BLS24, KSS16, and KSS18 have recently been vulnerable to number field sieve (NFS) attacks. Due to the recent attacks on discrete logs in F_(q^k ), selecting such curves became relevant again. This paper revisited the topic of selecting pairing-f...
[ { "created": "Sun, 4 Dec 2022 15:45:09 GMT", "version": "v1" } ]
2022-12-06
[ [ "Kumar", "Mahender", "" ], [ "Chand", "Satish", "" ] ]
Major families of pairing-friendly elliptic curves, including BN, BLS12, BLS24, KSS16, and KSS18 have recently been vulnerable to number field sieve (NFS) attacks. Due to the recent attacks on discrete logs in F_(q^k ), selecting such curves became relevant again. This paper revisited the topic of selecting pairing-fri...
1912.03488
Bhanu Garg Mr.
Bhanu Garg and Naresh Manwani
Robust Deep Ordinal Regression Under Label Noise
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The real-world data is often susceptible to label noise, which might constrict the effectiveness of the existing state of the art algorithms for ordinal regression. Existing works on ordinal regression do not take label noise into account. We propose a theoretically grounded approach for class conditional label noise...
[ { "created": "Sat, 7 Dec 2019 10:39:45 GMT", "version": "v1" }, { "created": "Mon, 27 Jan 2020 17:47:59 GMT", "version": "v2" } ]
2020-01-28
[ [ "Garg", "Bhanu", "" ], [ "Manwani", "Naresh", "" ] ]
The real-world data is often susceptible to label noise, which might constrict the effectiveness of the existing state of the art algorithms for ordinal regression. Existing works on ordinal regression do not take label noise into account. We propose a theoretically grounded approach for class conditional label noise i...
2208.04994
Shijun Wang
Shijun Wang, Hamed Hemati, J\'on Gu{\dh}nason, Damian Borth
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition
Published in INTERSPEECH 2022
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Speech Emotion Recognition (SER) is crucial for human-computer interaction but still remains a challenging problem because of two major obstacles: data scarcity and imbalance. Many datasets for SER are substantially imbalanced, where data utterances of one class (most often Neutral) are much more frequent than those ...
[ { "created": "Tue, 9 Aug 2022 18:39:42 GMT", "version": "v1" } ]
2022-08-11
[ [ "Wang", "Shijun", "" ], [ "Hemati", "Hamed", "" ], [ "Guðnason", "Jón", "" ], [ "Borth", "Damian", "" ] ]
Speech Emotion Recognition (SER) is crucial for human-computer interaction but still remains a challenging problem because of two major obstacles: data scarcity and imbalance. Many datasets for SER are substantially imbalanced, where data utterances of one class (most often Neutral) are much more frequent than those of...
2403.02574
Yutong Li
Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, Lijie Wen
ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
18 pages, 5 figures
null
null
null
cs.IR cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
The literature review is an indispensable step in the research process. It provides the benefit of comprehending the research problem and understanding the current research situation while conducting a comparative analysis of prior works. However, literature summary is challenging and time consuming. The previous LLM...
[ { "created": "Tue, 5 Mar 2024 01:13:56 GMT", "version": "v1" } ]
2024-03-06
[ [ "Li", "Yutong", "" ], [ "Chen", "Lu", "" ], [ "Liu", "Aiwei", "" ], [ "Yu", "Kai", "" ], [ "Wen", "Lijie", "" ] ]
The literature review is an indispensable step in the research process. It provides the benefit of comprehending the research problem and understanding the current research situation while conducting a comparative analysis of prior works. However, literature summary is challenging and time consuming. The previous LLM-b...
2110.07604
Jason Y. Zhang
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
In NeurIPS 2021. v2-3: Fixed minor typos
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Recent history has seen a tremendous growth of work exploring implicit representations of geometry and radiance, popularized through Neural Radiance Fields (NeRF). Such works are fundamentally based on a (implicit) volumetric representation of occupancy, allowing them to model diverse scene structure including transl...
[ { "created": "Thu, 14 Oct 2021 17:59:58 GMT", "version": "v1" }, { "created": "Fri, 15 Oct 2021 08:05:41 GMT", "version": "v2" }, { "created": "Mon, 18 Oct 2021 04:03:39 GMT", "version": "v3" } ]
2021-10-19
[ [ "Zhang", "Jason Y.", "" ], [ "Yang", "Gengshan", "" ], [ "Tulsiani", "Shubham", "" ], [ "Ramanan", "Deva", "" ] ]
Recent history has seen a tremendous growth of work exploring implicit representations of geometry and radiance, popularized through Neural Radiance Fields (NeRF). Such works are fundamentally based on a (implicit) volumetric representation of occupancy, allowing them to model diverse scene structure including transluc...
1806.01610
Robin Tibor Schirrmeister
Robin Tibor Schirrmeister, Patryk Chrab\k{a}szcz, Frank Hutter, Tonio Ball
Training Generative Reversible Networks
Source code for this study is at https://github.com/robintibor/generative-reversible
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative models with an encoding component such as autoencoders currently receive great interest. However, training of autoencoders is typically complicated by the need to train a separate encoder and decoder model that have to be enforced to be reciprocal to each other. To overcome this problem, by-design reversib...
[ { "created": "Tue, 5 Jun 2018 11:16:42 GMT", "version": "v1" }, { "created": "Wed, 6 Jun 2018 08:40:34 GMT", "version": "v2" }, { "created": "Sun, 8 Jul 2018 23:22:27 GMT", "version": "v3" }, { "created": "Thu, 23 Aug 2018 12:07:40 GMT", "version": "v4" } ]
2018-08-24
[ [ "Schirrmeister", "Robin Tibor", "" ], [ "Chrabąszcz", "Patryk", "" ], [ "Hutter", "Frank", "" ], [ "Ball", "Tonio", "" ] ]
Generative models with an encoding component such as autoencoders currently receive great interest. However, training of autoencoders is typically complicated by the need to train a separate encoder and decoder model that have to be enforced to be reciprocal to each other. To overcome this problem, by-design reversible...
1111.0737
Maxim Vashkevich
Maxim Vashkevich and Wanggen Wan and Alexander Petrovsky
Practical design of multi-channel oversampled warped cosine-modulated filter banks
6 pages, 9 figures. IET International Communication Conference on Wireless Mobile & Computing 2011
null
10.1049/cp.2011.0844
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A practical approach to optimal design of multichannel oversampled warped cosine-modulated filter banks (CMFB) is proposed. Warped CMFB is obtained by allpass transformation of uniform CMFB. The paper addresses the problems of minimization amplitude distortion and suppression of aliasing components emerged due to ove...
[ { "created": "Thu, 3 Nov 2011 06:46:36 GMT", "version": "v1" }, { "created": "Sun, 18 Nov 2012 13:42:29 GMT", "version": "v2" }, { "created": "Wed, 25 Mar 2020 06:43:16 GMT", "version": "v3" } ]
2020-03-26
[ [ "Vashkevich", "Maxim", "" ], [ "Wan", "Wanggen", "" ], [ "Petrovsky", "Alexander", "" ] ]
A practical approach to optimal design of multichannel oversampled warped cosine-modulated filter banks (CMFB) is proposed. Warped CMFB is obtained by allpass transformation of uniform CMFB. The paper addresses the problems of minimization amplitude distortion and suppression of aliasing components emerged due to overs...
2111.12528
Amir Naseredini
Amir Naseredini, Stefan Gast, Martin Schwarzl, Pedro Miguel Sousa Bernardo, Amel Smajic, Claudio Canella, Martin Berger, Daniel Gruss
Systematic Analysis of Programming Languages and Their Execution Environments for Spectre Attacks
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we analyze the security of programming languages and their execution environments (compilers and interpreters) with respect to Spectre attacks. The analysis shows that only 16 out of 42 execution environments have mitigations against at least one Spectre variant, i.e., 26 have no mitigations against an...
[ { "created": "Wed, 24 Nov 2021 14:54:03 GMT", "version": "v1" } ]
2021-11-25
[ [ "Naseredini", "Amir", "" ], [ "Gast", "Stefan", "" ], [ "Schwarzl", "Martin", "" ], [ "Bernardo", "Pedro Miguel Sousa", "" ], [ "Smajic", "Amel", "" ], [ "Canella", "Claudio", "" ], [ "Berger", "Martin", ""...
In this paper, we analyze the security of programming languages and their execution environments (compilers and interpreters) with respect to Spectre attacks. The analysis shows that only 16 out of 42 execution environments have mitigations against at least one Spectre variant, i.e., 26 have no mitigations against any ...
2201.02797
Shaoxiong Ji
Shaoxiong Ji and Wei Sun and Xiaobo Li and Hang Dong and Ara Taalas and Yijia Zhang and Honghan Wu and Esa Pitk\"anen and Pekka Marttinen
A Unified Review of Deep Learning for Automated Medical Coding
ACM Computing Surveys
null
10.1145/3664615
null
cs.CL cs.IR
http://creativecommons.org/licenses/by/4.0/
Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent advances in deep learning and natural language processing have been widely applied to this task. However, deep learning-based medical coding...
[ { "created": "Sat, 8 Jan 2022 09:37:23 GMT", "version": "v1" }, { "created": "Wed, 25 Jan 2023 07:55:00 GMT", "version": "v2" }, { "created": "Mon, 24 Apr 2023 14:50:44 GMT", "version": "v3" }, { "created": "Sun, 5 May 2024 13:04:16 GMT", "version": "v4" }, { "cre...
2024-05-15
[ [ "Ji", "Shaoxiong", "" ], [ "Sun", "Wei", "" ], [ "Li", "Xiaobo", "" ], [ "Dong", "Hang", "" ], [ "Taalas", "Ara", "" ], [ "Zhang", "Yijia", "" ], [ "Wu", "Honghan", "" ], [ "Pitkänen", "Esa", ...
Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent advances in deep learning and natural language processing have been widely applied to this task. However, deep learning-based medical coding l...
2406.19815
Feng Liu
Feng Liu, Qing Xu, Qijian Zheng
Emotion Loss Attacking: Adversarial Attack Perception for Skeleton based on Multi-dimensional Features
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial attack on skeletal motion is a hot topic. However, existing researches only consider part of dynamic features when measuring distance between skeleton graph sequences, which results in poor imperceptibility. To this end, we propose a novel adversarial attack method to attack action recognizers for skeleta...
[ { "created": "Fri, 28 Jun 2024 10:45:37 GMT", "version": "v1" } ]
2024-07-01
[ [ "Liu", "Feng", "" ], [ "Xu", "Qing", "" ], [ "Zheng", "Qijian", "" ] ]
Adversarial attack on skeletal motion is a hot topic. However, existing researches only consider part of dynamic features when measuring distance between skeleton graph sequences, which results in poor imperceptibility. To this end, we propose a novel adversarial attack method to attack action recognizers for skeletal ...
2301.12326
Xuan Lu
Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
12 pages, 4 figures. To be published in the 17th International AAAI Conference on Web and Social Media (ICWSM)
null
null
null
cs.LG cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While many organizations have shifted to working remotely during the COVID-19 pandemic, how the remote workforce and the remote teams are influenced by and would respond to this and future shocks remain largely unknown. Software developers have relied on remote collaborations long before the pandemic, working in virt...
[ { "created": "Sun, 29 Jan 2023 02:22:29 GMT", "version": "v1" } ]
2023-01-31
[ [ "Lu", "Xuan", "" ], [ "Ai", "Wei", "" ], [ "Wang", "Yixin", "" ], [ "Mei", "Qiaozhu", "" ] ]
While many organizations have shifted to working remotely during the COVID-19 pandemic, how the remote workforce and the remote teams are influenced by and would respond to this and future shocks remain largely unknown. Software developers have relied on remote collaborations long before the pandemic, working in virtua...
1603.08019
Raj Jain
Arjan Durresi, Sastri Kota, Mukul Goyal, Raj Jain, Venkata Bharani
Achieving QoS for TCP Traffic in Satellite Networks with Differentiated Services
null
Space Communications, Volume 17, Number 1-3, 2001, pp. 125-136
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Satellite networks play an indispensable role in providing global Internet access and electronic connectivity. To achieve such a global communications, provisioning of quality of service (QoS) within the advanced satellite systems is the main requirement. One of the key mechanisms of implementing the quality of servi...
[ { "created": "Fri, 25 Mar 2016 20:16:23 GMT", "version": "v1" } ]
2016-03-29
[ [ "Durresi", "Arjan", "" ], [ "Kota", "Sastri", "" ], [ "Goyal", "Mukul", "" ], [ "Jain", "Raj", "" ], [ "Bharani", "Venkata", "" ] ]
Satellite networks play an indispensable role in providing global Internet access and electronic connectivity. To achieve such a global communications, provisioning of quality of service (QoS) within the advanced satellite systems is the main requirement. One of the key mechanisms of implementing the quality of service...
1601.05952
Carsten Eickhoff
Siddharth Sarda, Carsten Eickhoff, Thomas Hofmann
Semantic Place Descriptors for Classification and Map Discovery
13 pages, 1 figure, 1 table
null
null
null
cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Urban environments develop complex, non-obvious structures that are often hard to represent in the form of maps or guides. Finding the right place to go often requires intimate familiarity with the location in question and cannot easily be deduced by visitors. In this work, we exploit large-scale samples of usage inf...
[ { "created": "Fri, 22 Jan 2016 10:46:29 GMT", "version": "v1" } ]
2016-01-25
[ [ "Sarda", "Siddharth", "" ], [ "Eickhoff", "Carsten", "" ], [ "Hofmann", "Thomas", "" ] ]
Urban environments develop complex, non-obvious structures that are often hard to represent in the form of maps or guides. Finding the right place to go often requires intimate familiarity with the location in question and cannot easily be deduced by visitors. In this work, we exploit large-scale samples of usage infor...
2407.01216
Xibo Li
Xibo Li, Shruti Patel and Christof B\"uskens
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
null
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Deep reinforcement learning (DRL) allows a system to interact with its environment and take actions by training an efficient policy that maximizes self-defined rewards. In autonomous driving, it can be used as a strategy for high-level decision making, whereas low-level algorithms such as the hybrid A* path planning ...
[ { "created": "Mon, 1 Jul 2024 12:00:10 GMT", "version": "v1" } ]
2024-07-02
[ [ "Li", "Xibo", "" ], [ "Patel", "Shruti", "" ], [ "Büskens", "Christof", "" ] ]
Deep reinforcement learning (DRL) allows a system to interact with its environment and take actions by training an efficient policy that maximizes self-defined rewards. In autonomous driving, it can be used as a strategy for high-level decision making, whereas low-level algorithms such as the hybrid A* path planning ha...
2310.05306
Ruiqi Wang
Ruiqi Wang, Hanyang Liu, Jiaming Qiu, Moran Xu, Roch Guerin, Chenyang Lu
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
IEEE the 44th Real-Time System Symposium (RTSS), 2023
null
10.1109/RTSS59052.2023.00020
null
cs.DC cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
IoT devices are increasingly the source of data for machine learning (ML) applications running on edge servers. Data transmissions from devices to servers are often over local wireless networks whose bandwidth is not just limited but, more importantly, variable. Furthermore, in cyber-physical systems interacting with...
[ { "created": "Sun, 8 Oct 2023 22:58:31 GMT", "version": "v1" } ]
2024-02-26
[ [ "Wang", "Ruiqi", "" ], [ "Liu", "Hanyang", "" ], [ "Qiu", "Jiaming", "" ], [ "Xu", "Moran", "" ], [ "Guerin", "Roch", "" ], [ "Lu", "Chenyang", "" ] ]
IoT devices are increasingly the source of data for machine learning (ML) applications running on edge servers. Data transmissions from devices to servers are often over local wireless networks whose bandwidth is not just limited but, more importantly, variable. Furthermore, in cyber-physical systems interacting with t...
0801.0597
Min Chen
Min Chen, Semih Serbetli and Aylin Yener
Distributed Power Allocation Strategies for Parallel Relay Networks
IEEE Transactions on Wireless Communications, accepted for publication. 10 pages, 7 figures
null
null
null
cs.IT math.IT
null
We consider a source-destination pair assisted by parallel regenerative decode-and-forward relays operating in orthogonal channels. We investigate distributed power allocation strategies for this system with limited channel state information at the source and the relay nodes. We first propose a distributed decision m...
[ { "created": "Thu, 3 Jan 2008 21:01:48 GMT", "version": "v1" } ]
2008-01-07
[ [ "Chen", "Min", "" ], [ "Serbetli", "Semih", "" ], [ "Yener", "Aylin", "" ] ]
We consider a source-destination pair assisted by parallel regenerative decode-and-forward relays operating in orthogonal channels. We investigate distributed power allocation strategies for this system with limited channel state information at the source and the relay nodes. We first propose a distributed decision mec...
2207.07189
Nikola Simidjievski
Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
null
null
10.1016/j.isprsjprs.2023.01.014
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO). To this end, we present a comprehensive comparative analysis of more than 500 models derived from ten different state-of-the-art architectur...
[ { "created": "Thu, 14 Jul 2022 20:18:58 GMT", "version": "v1" }, { "created": "Sat, 14 Jan 2023 16:10:58 GMT", "version": "v2" } ]
2023-02-02
[ [ "Dimitrovski", "Ivica", "" ], [ "Kitanovski", "Ivan", "" ], [ "Kocev", "Dragi", "" ], [ "Simidjievski", "Nikola", "" ] ]
We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO). To this end, we present a comprehensive comparative analysis of more than 500 models derived from ten different state-of-the-art architectures...
1002.3065
Ayfer Ozgur
Ayfer Ozgur, Olivier Leveque, David Tse
Linear Capacity Scaling in Wireless Networks: Beyond Physical Limits?
10 pages, 5 figures, in Proc. of IEEE Information Theory and Applications Workshop, Feb. 2010
null
10.1109/ITA.2010.5454112
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the role of cooperation in wireless networks subject to a spatial degrees of freedom limitation. To address the worst case scenario, we consider a free-space line-of-sight type environment with no scattering and no fading. We identify three qualitatively different operating regimes that are determined ...
[ { "created": "Tue, 16 Feb 2010 14:35:08 GMT", "version": "v1" } ]
2016-11-17
[ [ "Ozgur", "Ayfer", "" ], [ "Leveque", "Olivier", "" ], [ "Tse", "David", "" ] ]
We investigate the role of cooperation in wireless networks subject to a spatial degrees of freedom limitation. To address the worst case scenario, we consider a free-space line-of-sight type environment with no scattering and no fading. We identify three qualitatively different operating regimes that are determined by...
2211.11040
Aadesh Desai
Aadesh Desai, Saagar Parikh, Seema Kumari, Shanmuganathan Raman
PointResNet: Residual Network for 3D Point Cloud Segmentation and Classification
Paper Under Review at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Point cloud segmentation and classification are some of the primary tasks in 3D computer vision with applications ranging from augmented reality to robotics. However, processing point clouds using deep learning-based algorithms is quite challenging due to the irregular point formats. Voxelization or 3D grid-based rep...
[ { "created": "Sun, 20 Nov 2022 17:39:48 GMT", "version": "v1" } ]
2022-11-22
[ [ "Desai", "Aadesh", "" ], [ "Parikh", "Saagar", "" ], [ "Kumari", "Seema", "" ], [ "Raman", "Shanmuganathan", "" ] ]
Point cloud segmentation and classification are some of the primary tasks in 3D computer vision with applications ranging from augmented reality to robotics. However, processing point clouds using deep learning-based algorithms is quite challenging due to the irregular point formats. Voxelization or 3D grid-based repre...
2004.10278
Qi Cheng
Yanbin Pan, Jun Xu, Nick Wadleigh, and Qi Cheng
On the ideal shortest vector problem over random rational primes
null
null
null
null
cs.CR math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Any ideal in a number field can be factored into a product of prime ideals. In this paper we study the prime ideal shortest vector problem (SVP) in the ring $ \Z[x]/(x^{2^n} + 1) $, a popular choice in the design of ideal lattice based cryptosystems. We show that a majority of rational primes lie under prime ideals a...
[ { "created": "Tue, 21 Apr 2020 20:21:33 GMT", "version": "v1" }, { "created": "Tue, 2 Mar 2021 16:16:57 GMT", "version": "v2" } ]
2021-03-03
[ [ "Pan", "Yanbin", "" ], [ "Xu", "Jun", "" ], [ "Wadleigh", "Nick", "" ], [ "Cheng", "Qi", "" ] ]
Any ideal in a number field can be factored into a product of prime ideals. In this paper we study the prime ideal shortest vector problem (SVP) in the ring $ \Z[x]/(x^{2^n} + 1) $, a popular choice in the design of ideal lattice based cryptosystems. We show that a majority of rational primes lie under prime ideals adm...
2202.10862
Noa Schiller
Hagit Attiya and Noa Schiller
Asynchronous Fully-Decentralized SGD in the Cluster-Based Model
null
CIAC 13 (2023) 52-66
10.1007/978-3-031-30448-4_5
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents fault-tolerant asynchronous Stochastic Gradient Descent (SGD) algorithms. SGD is widely used for approximating the minimum of a cost function $Q$, as a core part of optimization and learning algorithms. Our algorithms are designed for the cluster-based model, which combines message-passing and sha...
[ { "created": "Tue, 22 Feb 2022 12:50:00 GMT", "version": "v1" }, { "created": "Sun, 27 Mar 2022 11:53:37 GMT", "version": "v2" }, { "created": "Tue, 13 Jun 2023 17:19:24 GMT", "version": "v3" } ]
2023-06-14
[ [ "Attiya", "Hagit", "" ], [ "Schiller", "Noa", "" ] ]
This paper presents fault-tolerant asynchronous Stochastic Gradient Descent (SGD) algorithms. SGD is widely used for approximating the minimum of a cost function $Q$, as a core part of optimization and learning algorithms. Our algorithms are designed for the cluster-based model, which combines message-passing and share...
1903.02953
Daniel Hershcovich
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
SemEval 2019 Shared task. arXiv admin note: substantial text overlap with arXiv:1805.12386
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge fo...
[ { "created": "Wed, 6 Mar 2019 16:55:58 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2019 05:18:27 GMT", "version": "v2" }, { "created": "Thu, 11 Jun 2020 09:20:56 GMT", "version": "v3" } ]
2020-06-12
[ [ "Hershcovich", "Daniel", "" ], [ "Aizenbud", "Zohar", "" ], [ "Choshen", "Leshem", "" ], [ "Sulem", "Elior", "" ], [ "Rappoport", "Ari", "" ], [ "Abend", "Omri", "" ] ]
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge for ...
1911.01163
Youngmin Jeong
Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win
Molecular Communication in H-Diffusion
This work has been submitted to the IEEE for possible publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The random propagation of molecules in a fluid medium is characterized by the spontaneous diffusion law as well as the interaction between the environment and molecules. In this paper, we embody the anomalous diffusion theory for modeling and analysis in molecular communication. We employ H-diffusion to model a non-F...
[ { "created": "Mon, 4 Nov 2019 12:41:06 GMT", "version": "v1" } ]
2019-11-05
[ [ "Trinh", "Dung Phuong", "" ], [ "Jeong", "Youngmin", "" ], [ "Shin", "Hyundong", "" ], [ "Win", "Moe Z.", "" ] ]
The random propagation of molecules in a fluid medium is characterized by the spontaneous diffusion law as well as the interaction between the environment and molecules. In this paper, we embody the anomalous diffusion theory for modeling and analysis in molecular communication. We employ H-diffusion to model a non-Fic...
1906.00246
Lei Chen
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
Personalized Multimedia Item and Key Frame Recommendation
The updated version is publised in IJCAI 2019, https://doi.org/10.24963/ijcai.2019/198
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item can be represented as multiple fine-grained visual images (e.g., related images of the movie), personalized key frame recommendation is ne...
[ { "created": "Sat, 1 Jun 2019 15:34:59 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 06:38:25 GMT", "version": "v2" } ]
2020-01-07
[ [ "Wu", "Le", "" ], [ "Chen", "Lei", "" ], [ "Yang", "Yonghui", "" ], [ "Hong", "Richang", "" ], [ "Ge", "Yong", "" ], [ "Xie", "Xing", "" ], [ "Wang", "Meng", "" ] ]
When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item can be represented as multiple fine-grained visual images (e.g., related images of the movie), personalized key frame recommendation is nece...
2207.00933
Wei Tang
Wei Tang, Margaret Martonosi
ScaleQC: A Scalable Framework for Hybrid Computation on Quantum and Classical Processors
12 pages, 13 figures
null
null
null
cs.ET quant-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
Quantum processing unit (QPU) has to satisfy highly demanding quantity and quality requirements on its qubits to produce accurate results for problems at useful scales. Furthermore, classical simulations of quantum circuits generally do not scale. Instead, quantum circuit cutting techniques cut and distribute a large...
[ { "created": "Sun, 3 Jul 2022 01:44:31 GMT", "version": "v1" } ]
2022-07-05
[ [ "Tang", "Wei", "" ], [ "Martonosi", "Margaret", "" ] ]
Quantum processing unit (QPU) has to satisfy highly demanding quantity and quality requirements on its qubits to produce accurate results for problems at useful scales. Furthermore, classical simulations of quantum circuits generally do not scale. Instead, quantum circuit cutting techniques cut and distribute a large q...
2206.00279
Depeng Liu
Depeng Liu, Lutan Zhao, Pengfei Yang, Bow-Yaw Wang, Rui Hou, Lijun Zhang, Naijun Zhan
Defensive Design of Saturating Counters Based on Differential Privacy
null
null
null
null
cs.CR cs.FL
http://creativecommons.org/licenses/by-nc-nd/4.0/
The saturating counter is the basic module of the dynamic branch predictor, which involves the core technique to improve instruction level parallelism performance in modern processors. However, most studies focus on the performance improvement and hardware consumption of saturating counters, while ignoring the securi...
[ { "created": "Wed, 1 Jun 2022 07:19:31 GMT", "version": "v1" } ]
2022-06-02
[ [ "Liu", "Depeng", "" ], [ "Zhao", "Lutan", "" ], [ "Yang", "Pengfei", "" ], [ "Wang", "Bow-Yaw", "" ], [ "Hou", "Rui", "" ], [ "Zhang", "Lijun", "" ], [ "Zhan", "Naijun", "" ] ]
The saturating counter is the basic module of the dynamic branch predictor, which involves the core technique to improve instruction level parallelism performance in modern processors. However, most studies focus on the performance improvement and hardware consumption of saturating counters, while ignoring the security...
2209.13304
Manuel Vidigueira
Martina Camaioni, Rachid Guerraoui, Matteo Monti, Manuel Vidigueira
Oracular Byzantine Reliable Broadcast [Extended Version]
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Byzantine Reliable Broadcast (BRB) is a fundamental distributed computing primitive, with applications ranging from notifications to asynchronous payment systems. Motivated by practical consideration, we study Client-Server Byzantine Reliable Broadcast (CSB), a multi-shot variant of BRB whose interface is split betwe...
[ { "created": "Tue, 27 Sep 2022 11:09:54 GMT", "version": "v1" } ]
2022-09-28
[ [ "Camaioni", "Martina", "" ], [ "Guerraoui", "Rachid", "" ], [ "Monti", "Matteo", "" ], [ "Vidigueira", "Manuel", "" ] ]
Byzantine Reliable Broadcast (BRB) is a fundamental distributed computing primitive, with applications ranging from notifications to asynchronous payment systems. Motivated by practical consideration, we study Client-Server Byzantine Reliable Broadcast (CSB), a multi-shot variant of BRB whose interface is split between...
2007.10876
Bakheet Aljedaani
Bakheet Aljedaani, M. Ali Babar
Challenges in Developing Secure Mobile Health Applications, A Systematic Review
This paper has 5 figures and 1 table
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Mobile health (mHealth) applications (apps) have gained significant popularity over the last few years due to its tremendous benefits, such as lowering healthcare cost and increasing patient awareness. However, the sensitivity of healthcare data makes the security of mHealth apps a serious concern. In this review, we...
[ { "created": "Tue, 21 Jul 2020 15:06:46 GMT", "version": "v1" }, { "created": "Fri, 15 Jan 2021 21:59:09 GMT", "version": "v2" } ]
2021-01-19
[ [ "Aljedaani", "Bakheet", "" ], [ "Babar", "M. Ali", "" ] ]
Mobile health (mHealth) applications (apps) have gained significant popularity over the last few years due to its tremendous benefits, such as lowering healthcare cost and increasing patient awareness. However, the sensitivity of healthcare data makes the security of mHealth apps a serious concern. In this review, we a...
cs/0206001
Carlos Gershenson
A. Das, M. Marko, A. Probst, M. A. Porter, C. Gershenson
Neural Net Model for Featured Word Extraction
null
null
null
null
cs.NE cs.NI
null
Search engines perform the task of retrieving information related to the user-supplied query words. This task has two parts; one is finding "featured words" which describe an article best and the other is finding a match among these words to user-defined search terms. There are two main independent approaches to achi...
[ { "created": "Sat, 1 Jun 2002 15:10:56 GMT", "version": "v1" } ]
2007-05-23
[ [ "Das", "A.", "" ], [ "Marko", "M.", "" ], [ "Probst", "A.", "" ], [ "Porter", "M. A.", "" ], [ "Gershenson", "C.", "" ] ]
Search engines perform the task of retrieving information related to the user-supplied query words. This task has two parts; one is finding "featured words" which describe an article best and the other is finding a match among these words to user-defined search terms. There are two main independent approaches to achiev...
2302.04761
Timo Schick
Timo Schick, Jane Dwivedi-Yu, Roberto Dess\`i, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Language models (LMs) exhibit remarkable abilities to solve new tasks from just a few examples or textual instructions, especially at scale. They also, paradoxically, struggle with basic functionality, such as arithmetic or factual lookup, where much simpler and smaller models excel. In this paper, we show that LMs c...
[ { "created": "Thu, 9 Feb 2023 16:49:57 GMT", "version": "v1" } ]
2023-02-10
[ [ "Schick", "Timo", "" ], [ "Dwivedi-Yu", "Jane", "" ], [ "Dessì", "Roberto", "" ], [ "Raileanu", "Roberta", "" ], [ "Lomeli", "Maria", "" ], [ "Zettlemoyer", "Luke", "" ], [ "Cancedda", "Nicola", "" ], [...
Language models (LMs) exhibit remarkable abilities to solve new tasks from just a few examples or textual instructions, especially at scale. They also, paradoxically, struggle with basic functionality, such as arithmetic or factual lookup, where much simpler and smaller models excel. In this paper, we show that LMs can...
1002.0855
Bartek Blaszczyszyn
Fran\c{c}ois Baccelli (INRIA Rocquencourt), Bartek Blaszczyszyn (INRIA Rocquencourt)
A New Phase Transition for Local Delays in MANETs
accepted for IEEE Infocom 2010
null
10.1109/INFCOM.2010.5462132
null
cs.NI math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider Mobile Ad-hoc Network (MANET) with transmitters located according to a Poisson point in the Euclidean plane, slotted Aloha Medium Access (MAC) protocol and the so-called outage scenario, where a successful transmission requires a Signal-to-Interference-and-Noise (SINR) larger than some threshold. We analy...
[ { "created": "Wed, 3 Feb 2010 21:18:20 GMT", "version": "v1" } ]
2010-10-28
[ [ "Baccelli", "François", "", "INRIA Rocquencourt" ], [ "Blaszczyszyn", "Bartek", "", "INRIA\n Rocquencourt" ] ]
We consider Mobile Ad-hoc Network (MANET) with transmitters located according to a Poisson point in the Euclidean plane, slotted Aloha Medium Access (MAC) protocol and the so-called outage scenario, where a successful transmission requires a Signal-to-Interference-and-Noise (SINR) larger than some threshold. We analyze...
1803.09576
Lucas Isenmann
Daniel Gon\c{c}alves and Lucas Isenmann
Dushnik-Miller dimension of TD-Delaunay complexes
A short version appears in the proceedings of EuroCG 2017
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
TD-Delaunay graphs, where TD stands for triangular distance, is a variation of the classical Delaunay triangulations obtained from a specific convex distance function. Bonichon et. al. noticed that every triangulation is the TD-Delaunay graph of a set of points in $\mathbb{R}^2$, and conversely every TD-Delaunay grap...
[ { "created": "Mon, 26 Mar 2018 13:28:54 GMT", "version": "v1" } ]
2018-03-28
[ [ "Gonçalves", "Daniel", "" ], [ "Isenmann", "Lucas", "" ] ]
TD-Delaunay graphs, where TD stands for triangular distance, is a variation of the classical Delaunay triangulations obtained from a specific convex distance function. Bonichon et. al. noticed that every triangulation is the TD-Delaunay graph of a set of points in $\mathbb{R}^2$, and conversely every TD-Delaunay graph ...
2405.14176
Ambar Pal
Ambar Pal and Ren\'e Vidal and Jeremias Sulam
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent work in adversarial robustness suggests that natural data distributions are localized, i.e., they place high probability in small volume regions of the input space, and that this property can be utilized for designing classifiers with improved robustness guarantees for $\ell_2$-bounded perturbations. Yet, it i...
[ { "created": "Thu, 23 May 2024 05:02:00 GMT", "version": "v1" } ]
2024-05-24
[ [ "Pal", "Ambar", "" ], [ "Vidal", "René", "" ], [ "Sulam", "Jeremias", "" ] ]
Recent work in adversarial robustness suggests that natural data distributions are localized, i.e., they place high probability in small volume regions of the input space, and that this property can be utilized for designing classifiers with improved robustness guarantees for $\ell_2$-bounded perturbations. Yet, it is ...
2009.05183
Ye Tao
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
TRec: Sequential Recommender Based On Latent Item Trend Information
8 pages, accepted by IJCNN2020
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommendation system plays an important role in online web applications. Sequential recommender further models user short-term preference through exploiting information from latest user-item interaction history. Most of the sequential recommendation methods neglect the importance of ever-changing item popularity. We...
[ { "created": "Fri, 11 Sep 2020 00:31:39 GMT", "version": "v1" } ]
2020-09-14
[ [ "Tao", "Ye", "" ], [ "Wang", "Can", "" ], [ "Yao", "Lina", "" ], [ "Li", "Weimin", "" ], [ "Yu", "Yonghong", "" ] ]
Recommendation system plays an important role in online web applications. Sequential recommender further models user short-term preference through exploiting information from latest user-item interaction history. Most of the sequential recommendation methods neglect the importance of ever-changing item popularity. We p...
1901.04908
Iuliia Kotseruba
John K. Tsotsos, Iuliia Kotseruba, Calden Wloka
Rapid Visual Categorization is not Guided by Early Salience-Based Selection
22 pages, 9 figures
null
10.1371/journal.pone.0224306
null
cs.CV q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements. Within this paradigm, visual saliency is seen by many to have a specific role, namely that of early selection. Early selection is thought to enable very fast vis...
[ { "created": "Tue, 15 Jan 2019 16:22:24 GMT", "version": "v1" }, { "created": "Fri, 20 Dec 2019 14:43:38 GMT", "version": "v2" }, { "created": "Thu, 30 Jan 2020 20:58:35 GMT", "version": "v3" } ]
2020-02-03
[ [ "Tsotsos", "John K.", "" ], [ "Kotseruba", "Iuliia", "" ], [ "Wloka", "Calden", "" ] ]
The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements. Within this paradigm, visual saliency is seen by many to have a specific role, namely that of early selection. Early selection is thought to enable very fast visua...
1809.04170
S\'ebastien Philippe
S\'ebastien Philippe, Alexander Glaser, and Edward W. Felten
A Cryptographic Escrow for Treaty Declarations and Step-by-Step Verification
14 pages, 4 figures
Science & Global Security, pp.1-12 (2019)
10.1080/08929882.2019.1573483
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The verification of arms-control and disarmament agreements requires states to provide declarations, including information on sensitive military sites and assets. There are important cases, however, where negotiations of these agreements are impeded because states are reluctant to provide any such data, because of co...
[ { "created": "Tue, 11 Sep 2018 21:17:18 GMT", "version": "v1" } ]
2019-05-13
[ [ "Philippe", "Sébastien", "" ], [ "Glaser", "Alexander", "" ], [ "Felten", "Edward W.", "" ] ]
The verification of arms-control and disarmament agreements requires states to provide declarations, including information on sensitive military sites and assets. There are important cases, however, where negotiations of these agreements are impeded because states are reluctant to provide any such data, because of conc...
2011.07222
Risul Islam
Risul Islam, Md Omar Faruk Rokon, Ahmad Darki, Michalis Faloutsos
HackerScope: The Dynamics of a Massive Hacker Online Ecosystem
8 pages, 7 figures, and 4 tables. In press of ASONAM'20
null
null
null
cs.CR cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
Authors of malicious software are not hiding as much as one would assume: they have a visible online footprint. Apart from online forums, this footprint appears in software development platforms, where authors create publicly-accessible malware repositories to share and collaborate. With the exception of a few recent...
[ { "created": "Sat, 14 Nov 2020 05:19:54 GMT", "version": "v1" } ]
2020-11-17
[ [ "Islam", "Risul", "" ], [ "Rokon", "Md Omar Faruk", "" ], [ "Darki", "Ahmad", "" ], [ "Faloutsos", "Michalis", "" ] ]
Authors of malicious software are not hiding as much as one would assume: they have a visible online footprint. Apart from online forums, this footprint appears in software development platforms, where authors create publicly-accessible malware repositories to share and collaborate. With the exception of a few recent e...
2111.11955
Priyanka Meel
Chahat Raj, Priyanka Meel
People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users
32 pages
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs and becomes the topic of discussion, generating and propagating false informati...
[ { "created": "Tue, 23 Nov 2021 15:48:54 GMT", "version": "v1" } ]
2021-11-24
[ [ "Raj", "Chahat", "" ], [ "Meel", "Priyanka", "" ] ]
Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs and becomes the topic of discussion, generating and propagating false information...
1511.07922
Yi Zhang
Yi Zhang
Contraction of Ore Ideals with Applications
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ore operators form a common algebraic abstraction of linear ordinary differential and recurrence equations. Given an Ore operator $L$ with polynomial coefficients in $x$, it generates a left ideal $I$ in the Ore algebra over the field $\mathbf{k}(x)$ of rational functions. We present an algorithm for computing a basi...
[ { "created": "Wed, 25 Nov 2015 00:15:50 GMT", "version": "v1" }, { "created": "Thu, 26 Nov 2015 21:08:36 GMT", "version": "v2" }, { "created": "Wed, 16 Dec 2015 06:54:48 GMT", "version": "v3" }, { "created": "Thu, 17 Dec 2015 08:54:06 GMT", "version": "v4" }, { "c...
2016-02-01
[ [ "Zhang", "Yi", "" ] ]
Ore operators form a common algebraic abstraction of linear ordinary differential and recurrence equations. Given an Ore operator $L$ with polynomial coefficients in $x$, it generates a left ideal $I$ in the Ore algebra over the field $\mathbf{k}(x)$ of rational functions. We present an algorithm for computing a basis ...
1704.03118
Neil Zhenqiang Gong
Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin and Xuan Bao
PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices
To appear in ICDCS'17
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Voice is envisioned to be a popular way for humans to interact with Internet-of-Things (IoT) devices. We propose a proximity-based user authentication method (called PIANO) for access control on such voice-powered IoT devices. PIANO leverages the built-in speaker, microphone, and Bluetooth that voice-powered IoT devi...
[ { "created": "Tue, 11 Apr 2017 02:27:31 GMT", "version": "v1" } ]
2017-04-12
[ [ "Gong", "Neil Zhenqiang", "" ], [ "Ozen", "Altay", "" ], [ "Wu", "Yu", "" ], [ "Cao", "Xiaoyu", "" ], [ "Shin", "Richard", "" ], [ "Song", "Dawn", "" ], [ "Jin", "Hongxia", "" ], [ "Bao", "Xuan"...
Voice is envisioned to be a popular way for humans to interact with Internet-of-Things (IoT) devices. We propose a proximity-based user authentication method (called PIANO) for access control on such voice-powered IoT devices. PIANO leverages the built-in speaker, microphone, and Bluetooth that voice-powered IoT device...
2404.12555
Tiffany Nguyen
Tiffany T. Nguyen, Cinthya Jauregui, Sarah H. Sallee, Mohan R. Chandrasekar, Liam A'Hearn, Dominic J. Woetzel, Pinak Paliwal, Madison Nguyen, Isabella `Amne Gomez, Xinqi Zhang, Lee M. Panich, Danielle M. Heitmuller, Amy Lueck, Kai Lukoff
Sociotechnical Considerations for SLAM Anchors in Location-Based AR
Presented at CHI 2024 (arXiv:2404.05889)
null
null
ARSJ/2024/13
cs.HC
http://creativecommons.org/licenses/by/4.0/
In this position paper, we explore the power of storytelling and its connection to place through the use of Augmented Reality (AR) technology, particularly within the context of Th\'amien Ohlone history on the Santa Clara University campus. To do this, we utilized SLAM and 8th Wall to create virtual, location-based e...
[ { "created": "Fri, 19 Apr 2024 00:19:43 GMT", "version": "v1" } ]
2024-04-22
[ [ "Nguyen", "Tiffany T.", "" ], [ "Jauregui", "Cinthya", "" ], [ "Sallee", "Sarah H.", "" ], [ "Chandrasekar", "Mohan R.", "" ], [ "A'Hearn", "Liam", "" ], [ "Woetzel", "Dominic J.", "" ], [ "Paliwal", "Pinak", ...
In this position paper, we explore the power of storytelling and its connection to place through the use of Augmented Reality (AR) technology, particularly within the context of Th\'amien Ohlone history on the Santa Clara University campus. To do this, we utilized SLAM and 8th Wall to create virtual, location-based exp...
2204.09610
Noah Daniels
Polina Shpilker, John Freeman, Hailey McKelvie, Jill Ashey, Jay-Miguel Fonticella, Hollie Putnam, Jane Greenberg, Lenore J. Cowen, Alva Couch, Noah M. Daniels
MEDFORD: A human and machine readable metadata markup language
10 pages, no figures
null
null
null
cs.DL cs.DB q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical, details. Key details, such as the specific version of a software used or iteration of a genome can easily be lost in the shuffle, or perha...
[ { "created": "Wed, 20 Apr 2022 16:45:03 GMT", "version": "v1" }, { "created": "Thu, 16 Jun 2022 16:46:57 GMT", "version": "v2" } ]
2022-06-17
[ [ "Shpilker", "Polina", "" ], [ "Freeman", "John", "" ], [ "McKelvie", "Hailey", "" ], [ "Ashey", "Jill", "" ], [ "Fonticella", "Jay-Miguel", "" ], [ "Putnam", "Hollie", "" ], [ "Greenberg", "Jane", "" ], ...
Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical, details. Key details, such as the specific version of a software used or iteration of a genome can easily be lost in the shuffle, or perhaps...
1203.1212
Luciano Panek
Luciano Panek and Marcelo Firer
Codes Satisfying the Chain Condition with a Poset Weights
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we extend the concept of generalized Wei weights for poset-weight codes and show that all linear codes C satisfy the chain condition if support of C is a subposet totally ordered.
[ { "created": "Tue, 6 Mar 2012 14:43:55 GMT", "version": "v1" } ]
2012-03-07
[ [ "Panek", "Luciano", "" ], [ "Firer", "Marcelo", "" ] ]
In this paper we extend the concept of generalized Wei weights for poset-weight codes and show that all linear codes C satisfy the chain condition if support of C is a subposet totally ordered.
1904.07664
Mika\"el Rabie
Carole Delporte-Gallet, Hugues Fauconnier, Pierre Fraigniaud, Mika\"el Rabie
Distributed Computing in the Asynchronous LOCAL model
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The LOCAL model is among the main models for studying locality in the framework of distributed network computing. This model is however subject to pertinent criticisms, including the facts that all nodes wake up simultaneously, perform in lock steps, and are failure-free. We show that relaxing these hypotheses to som...
[ { "created": "Tue, 16 Apr 2019 13:40:25 GMT", "version": "v1" }, { "created": "Mon, 20 May 2019 14:05:49 GMT", "version": "v2" }, { "created": "Fri, 6 Dec 2019 17:27:16 GMT", "version": "v3" } ]
2019-12-09
[ [ "Delporte-Gallet", "Carole", "" ], [ "Fauconnier", "Hugues", "" ], [ "Fraigniaud", "Pierre", "" ], [ "Rabie", "Mikaël", "" ] ]
The LOCAL model is among the main models for studying locality in the framework of distributed network computing. This model is however subject to pertinent criticisms, including the facts that all nodes wake up simultaneously, perform in lock steps, and are failure-free. We show that relaxing these hypotheses to some ...
2108.04527
Zan Gao
Zan Gao, Hongwei Wei, Weili Guan, Weizhi Nie, Meng Liu, Meng Wang
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these methods assume that the same person has the same clothes within a short time interval, and thus their visual appearance must be similar. Howev...
[ { "created": "Tue, 10 Aug 2021 09:14:44 GMT", "version": "v1" } ]
2021-08-11
[ [ "Gao", "Zan", "" ], [ "Wei", "Hongwei", "" ], [ "Guan", "Weili", "" ], [ "Nie", "Weizhi", "" ], [ "Liu", "Meng", "" ], [ "Wang", "Meng", "" ] ]
Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these methods assume that the same person has the same clothes within a short time interval, and thus their visual appearance must be similar. However...
1707.01736
Emiel van Miltenburg
Emiel van Miltenburg, Desmond Elliott, Piek Vossen
Cross-linguistic differences and similarities in image descriptions
Accepted for INLG 2017, Santiago de Compostela, Spain, 4-7 September, 2017. Camera-ready version. See the ACL anthology for full bibliographic information
null
null
null
cs.CL cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic image description systems are commonly trained and evaluated on large image description datasets. Recently, researchers have started to collect such datasets for languages other than English. An unexplored question is how different these datasets are from English and, if there are any differences, what caus...
[ { "created": "Thu, 6 Jul 2017 11:53:41 GMT", "version": "v1" }, { "created": "Sun, 13 Aug 2017 10:18:44 GMT", "version": "v2" } ]
2017-08-15
[ [ "van Miltenburg", "Emiel", "" ], [ "Elliott", "Desmond", "" ], [ "Vossen", "Piek", "" ] ]
Automatic image description systems are commonly trained and evaluated on large image description datasets. Recently, researchers have started to collect such datasets for languages other than English. An unexplored question is how different these datasets are from English and, if there are any differences, what causes...
1911.04820
Qiang Ren
Qiang Ren
Grouping Capsules Based Different Types
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capsule network was introduced as a new architecture of neural networks, it encoding features as capsules to overcome the lacking of equivariant in the convolutional neural networks. It uses dynamic routing algorithm to train parameters in different capsule layers, but the dynamic routing algorithm need to be improve...
[ { "created": "Tue, 12 Nov 2019 12:39:20 GMT", "version": "v1" } ]
2019-11-13
[ [ "Ren", "Qiang", "" ] ]
Capsule network was introduced as a new architecture of neural networks, it encoding features as capsules to overcome the lacking of equivariant in the convolutional neural networks. It uses dynamic routing algorithm to train parameters in different capsule layers, but the dynamic routing algorithm need to be improved....
2402.01488
Max Peter Ronecker
Max Peter Ronecker, Markus Schratter, Lukas Kuschnig and Daniel Watzenig
Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach
Accepted at 2024 IEEE International Conference on Robotics and Automation (ICRA) Second Version: Corrected Typos
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Dynamic Occupancy Grid Mapping is a technique used to generate a local map of the environment containing both static and dynamic information. Typically, these maps are primarily generated using lidar measurements. However, with improvements in radar sensing, resulting in better accuracy and higher resolution, radar i...
[ { "created": "Fri, 2 Feb 2024 15:14:47 GMT", "version": "v1" }, { "created": "Wed, 22 May 2024 02:55:49 GMT", "version": "v2" } ]
2024-05-24
[ [ "Ronecker", "Max Peter", "" ], [ "Schratter", "Markus", "" ], [ "Kuschnig", "Lukas", "" ], [ "Watzenig", "Daniel", "" ] ]
Dynamic Occupancy Grid Mapping is a technique used to generate a local map of the environment containing both static and dynamic information. Typically, these maps are primarily generated using lidar measurements. However, with improvements in radar sensing, resulting in better accuracy and higher resolution, radar is ...
1205.1860
Mohandeep Sharma
Mohandeep Sharma, Dilip Kumar
Wishbone bus Architecture - A Survey and Comparison
18 pages
International journal of VLSI Design & Communication Systems (VLSICS) Vol.3, No.2 April 2012, 107-124
10.5121/vlsic.2012.3210
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of an on-chip interconnection architecture used for communication between IP cores depends on the efficiency of its bus architecture. Any bus architecture having advantages of faster bus clock speed, extra data transfer cycle, improved bus width and throughput is highly desirable for a low cost, reduc...
[ { "created": "Wed, 9 May 2012 03:18:40 GMT", "version": "v1" } ]
2012-05-10
[ [ "Sharma", "Mohandeep", "" ], [ "Kumar", "Dilip", "" ] ]
The performance of an on-chip interconnection architecture used for communication between IP cores depends on the efficiency of its bus architecture. Any bus architecture having advantages of faster bus clock speed, extra data transfer cycle, improved bus width and throughput is highly desirable for a low cost, reduced...
2306.13935
Abhishek Ghose
Emma Thuong Nguyen, Abhishek Ghose
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Explainable AI (XAI) techniques have become popular for multiple use-cases in the past few years. Here we consider its use in studying model predictions to gather additional training data. We argue that this is equivalent to Active Learning, where the query strategy involves a human-in-the-loop. We provide a mathemat...
[ { "created": "Sat, 24 Jun 2023 10:50:42 GMT", "version": "v1" }, { "created": "Sat, 15 Jul 2023 14:03:55 GMT", "version": "v2" }, { "created": "Tue, 16 Apr 2024 16:33:07 GMT", "version": "v3" } ]
2024-04-17
[ [ "Nguyen", "Emma Thuong", "" ], [ "Ghose", "Abhishek", "" ] ]
Explainable AI (XAI) techniques have become popular for multiple use-cases in the past few years. Here we consider its use in studying model predictions to gather additional training data. We argue that this is equivalent to Active Learning, where the query strategy involves a human-in-the-loop. We provide a mathematic...
2211.04259
Istv\'an Andr\'as Seres
Domokos Mikl\'os Kelen and Istv\'an Andr\'as Seres
Towards Measuring the Traceability of Cryptocurrencies
Pre-print. Various major updates since the previous version. Added more applications, explanation, and clarification
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Cryptocurrencies aim to replicate physical cash in the digital realm while removing centralized and trusted intermediaries. Decentralization is achieved by the blockchain, a permanent public ledger that contains a record of every transaction. The public ledger ensures transparency, which enables public verifiability ...
[ { "created": "Tue, 8 Nov 2022 14:08:39 GMT", "version": "v1" }, { "created": "Sat, 1 Jun 2024 14:05:33 GMT", "version": "v2" } ]
2024-06-04
[ [ "Kelen", "Domokos Miklós", "" ], [ "Seres", "István András", "" ] ]
Cryptocurrencies aim to replicate physical cash in the digital realm while removing centralized and trusted intermediaries. Decentralization is achieved by the blockchain, a permanent public ledger that contains a record of every transaction. The public ledger ensures transparency, which enables public verifiability bu...
1304.2744
Donald H. Mitchell
Donald H. Mitchell, Steven A. Harp, David K. Simkin
A Knowledge Engineer's Comparison of Three Evidence Aggregation Methods
Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987)
null
null
UAI-P-1987-PG-297-304
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among othe...
[ { "created": "Wed, 27 Mar 2013 19:48:59 GMT", "version": "v1" } ]
2013-04-11
[ [ "Mitchell", "Donald H.", "" ], [ "Harp", "Steven A.", "" ], [ "Simkin", "David K.", "" ] ]
The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among other ...
1412.2109
Janne H. Korhonen
Petteri Kaski, Janne H. Korhonen, Christoph Lenzen, Jukka Suomela
Algebrisation in Distributed Graph Algorithms: Fast Matrix Multiplication in the Congested Clique
This paper has been withdrawn by the authors. This paper has been superseded by arXiv:1503.04963 (merged from arXiv:1412.2109 and arXiv:1412.2667)
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While algebrisation constitutes a powerful technique in the design and analysis of centralised algorithms, to date there have been hardly any applications of algebraic techniques in the context of distributed graph algorithms. This work is a case study that demonstrates the potential of algebrisation in the distribut...
[ { "created": "Fri, 5 Dec 2014 19:33:46 GMT", "version": "v1" }, { "created": "Wed, 18 Mar 2015 09:52:27 GMT", "version": "v2" } ]
2015-03-19
[ [ "Kaski", "Petteri", "" ], [ "Korhonen", "Janne H.", "" ], [ "Lenzen", "Christoph", "" ], [ "Suomela", "Jukka", "" ] ]
While algebrisation constitutes a powerful technique in the design and analysis of centralised algorithms, to date there have been hardly any applications of algebraic techniques in the context of distributed graph algorithms. This work is a case study that demonstrates the potential of algebrisation in the distributed...
2302.10730
Lorenzo Vaquero
Saqib Nazir, Lorenzo Vaquero, Manuel Mucientes, V\'ictor M. Brea, Daniela Coltuc
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
null
IEEE Transactions on Computational Imaging, vol. 9, pp. 607-619, 2023
10.1109/TCI.2023.3288335
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Monocular depth estimation and image deblurring are two fundamental tasks in computer vision, given their crucial role in understanding 3D scenes. Performing any of them by relying on a single image is an ill-posed problem. The recent advances in the field of Deep Convolutional Neural Networks (DNNs) have revolutioni...
[ { "created": "Tue, 21 Feb 2023 15:28:42 GMT", "version": "v1" }, { "created": "Thu, 27 Jul 2023 19:29:15 GMT", "version": "v2" } ]
2023-07-31
[ [ "Nazir", "Saqib", "" ], [ "Vaquero", "Lorenzo", "" ], [ "Mucientes", "Manuel", "" ], [ "Brea", "Víctor M.", "" ], [ "Coltuc", "Daniela", "" ] ]
Monocular depth estimation and image deblurring are two fundamental tasks in computer vision, given their crucial role in understanding 3D scenes. Performing any of them by relying on a single image is an ill-posed problem. The recent advances in the field of Deep Convolutional Neural Networks (DNNs) have revolutionize...
2104.09925
Benjamin Rosen
Benjamin Rosen, Adnan M. Abu-Mahfouz and Ling Cheng
A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
4 pages, 5 figures
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
The Slepian-Wolf bound on the admissible coding rate forms the most fundamental aspect of distributed source coding. As such, it is necessary to provide a framework with which to model more practical scenarios with respect to the arrangement of nodes in order to make Slepian-Wolf coding more suitable for multi-node W...
[ { "created": "Tue, 20 Apr 2021 12:31:52 GMT", "version": "v1" } ]
2021-04-21
[ [ "Rosen", "Benjamin", "" ], [ "Abu-Mahfouz", "Adnan M.", "" ], [ "Cheng", "Ling", "" ] ]
The Slepian-Wolf bound on the admissible coding rate forms the most fundamental aspect of distributed source coding. As such, it is necessary to provide a framework with which to model more practical scenarios with respect to the arrangement of nodes in order to make Slepian-Wolf coding more suitable for multi-node Wir...
1505.07194
Peng Liu
Peng Liu and Saeed Gazor and Il-Min Kim and Dong In Kim
Noncoherent Relaying in Energy Harvesting Communication Systems
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/3.0/
In energy harvesting (EH) relay networks, the coherent communication requires accurate estima- tion/tracking of the instantaneous channel state information (CSI) which consumes extra power. As a remedy, we propose two noncoherent EH relaying protocols based on the amplify-and-forward (AF) relaying, namely, power spli...
[ { "created": "Wed, 27 May 2015 05:56:15 GMT", "version": "v1" }, { "created": "Fri, 12 Jun 2015 14:18:26 GMT", "version": "v2" } ]
2015-06-15
[ [ "Liu", "Peng", "" ], [ "Gazor", "Saeed", "" ], [ "Kim", "Il-Min", "" ], [ "Kim", "Dong In", "" ] ]
In energy harvesting (EH) relay networks, the coherent communication requires accurate estima- tion/tracking of the instantaneous channel state information (CSI) which consumes extra power. As a remedy, we propose two noncoherent EH relaying protocols based on the amplify-and-forward (AF) relaying, namely, power splitt...
2202.12575
Guillaume Wisniewski Dr.
Aur\'elien Max and Guillaume Wisniewski
Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History
Accepted at LREC'10
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Naturally-occurring instances of linguistic phenomena are important both for training and for evaluating automatic processes on text. When available in large quantities, they also prove interesting material for linguistic studies. In this article, we present a new resource built from Wikipedia's revision history, cal...
[ { "created": "Fri, 25 Feb 2022 09:24:38 GMT", "version": "v1" } ]
2022-02-28
[ [ "Max", "Aurélien", "" ], [ "Wisniewski", "Guillaume", "" ] ]
Naturally-occurring instances of linguistic phenomena are important both for training and for evaluating automatic processes on text. When available in large quantities, they also prove interesting material for linguistic studies. In this article, we present a new resource built from Wikipedia's revision history, calle...
1208.4809
Husnabad Venkateswara Reddy
H. Venkateswara Reddy, Dr.S.Viswanadha Raju, B.Ramasubba Reddy
Comparing N-Node Set Importance Representative results with Node Importance Representative results for Categorical Clustering: An exploratory study
16 pages, 4 figures, 3 equations
null
null
null
cs.DB
http://creativecommons.org/licenses/by/3.0/
The proportionate increase in the size of the data with increase in space implies that clustering a very large data set becomes difficult and is a time consuming process.Sampling is one important technique to scale down the size of dataset and to improve the efficiency of clustering. After sampling allocating unlabel...
[ { "created": "Thu, 23 Aug 2012 17:32:32 GMT", "version": "v1" } ]
2015-03-13
[ [ "Reddy", "H. Venkateswara", "" ], [ "Raju", "Dr. S. Viswanadha", "" ], [ "Reddy", "B. Ramasubba", "" ] ]
The proportionate increase in the size of the data with increase in space implies that clustering a very large data set becomes difficult and is a time consuming process.Sampling is one important technique to scale down the size of dataset and to improve the efficiency of clustering. After sampling allocating unlabeled...
2304.02554
Mingqi Gao
Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, Xiaojun Wan
Human-like Summarization Evaluation with ChatGPT
9 pages, 5 figures, in process
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-like summarization evaluation using four human evaluation methods on five datasets. We found that ChatGPT was able to complete annotations re...
[ { "created": "Wed, 5 Apr 2023 16:17:32 GMT", "version": "v1" } ]
2023-04-06
[ [ "Gao", "Mingqi", "" ], [ "Ruan", "Jie", "" ], [ "Sun", "Renliang", "" ], [ "Yin", "Xunjian", "" ], [ "Yang", "Shiping", "" ], [ "Wan", "Xiaojun", "" ] ]
Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-like summarization evaluation using four human evaluation methods on five datasets. We found that ChatGPT was able to complete annotations rela...
2104.11386
Nam Wook Kim
Nam Wook Kim
Recording Reusable and Guided Analytics From Interaction Histories
2 pages, 2 figures, conference
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
The use of visual analytics tools has gained popularity in various domains, helping users discover meaningful information from complex and large data sets. Users often face difficulty in disseminating the knowledge discovered without clear recall of their exploration paths and analysis processes. We introduce a visua...
[ { "created": "Fri, 23 Apr 2021 02:46:00 GMT", "version": "v1" } ]
2021-04-26
[ [ "Kim", "Nam Wook", "" ] ]
The use of visual analytics tools has gained popularity in various domains, helping users discover meaningful information from complex and large data sets. Users often face difficulty in disseminating the knowledge discovered without clear recall of their exploration paths and analysis processes. We introduce a visual ...
1811.08996
Shipeng Wang
Shipeng Wang, Jian Sun and Zongben Xu
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks are traditionally trained using human-designed stochastic optimization algorithms, such as SGD and Adam. Recently, the approach of learning to optimize network parameters has emerged as a promising research topic. However, these learned black-box optimizers sometimes do not fully utilize the expe...
[ { "created": "Thu, 22 Nov 2018 02:37:53 GMT", "version": "v1" } ]
2018-11-26
[ [ "Wang", "Shipeng", "" ], [ "Sun", "Jian", "" ], [ "Xu", "Zongben", "" ] ]
Deep neural networks are traditionally trained using human-designed stochastic optimization algorithms, such as SGD and Adam. Recently, the approach of learning to optimize network parameters has emerged as a promising research topic. However, these learned black-box optimizers sometimes do not fully utilize the experi...
1604.02677
Hao Chen
Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morphological statistics for quantitative diagnosis. In this paper, we proposed an efficient deep contour-awar...
[ { "created": "Sun, 10 Apr 2016 12:12:24 GMT", "version": "v1" } ]
2016-04-12
[ [ "Chen", "Hao", "" ], [ "Qi", "Xiaojuan", "" ], [ "Yu", "Lequan", "" ], [ "Heng", "Pheng-Ann", "" ] ]
The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morphological statistics for quantitative diagnosis. In this paper, we proposed an efficient deep contour-aware ...
2407.05280
Adri Bhattacharya
Pritam Goswami, Adri Bhattacharya, Raja Das and Partha Sarathi Mandal
Perpetual Exploration of a Ring in Presence of Byzantine Black Hole
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Perpetual exploration is a fundamental problem in the domain of mobile agents, where an agent needs to visit each node infinitely often. This issue has received lot of attention, mainly for ring topologies, presence of black holes adds more complexity. A black hole can destroy any incoming agent without any observabl...
[ { "created": "Sun, 7 Jul 2024 06:41:17 GMT", "version": "v1" } ]
2024-07-09
[ [ "Goswami", "Pritam", "" ], [ "Bhattacharya", "Adri", "" ], [ "Das", "Raja", "" ], [ "Mandal", "Partha Sarathi", "" ] ]
Perpetual exploration is a fundamental problem in the domain of mobile agents, where an agent needs to visit each node infinitely often. This issue has received lot of attention, mainly for ring topologies, presence of black holes adds more complexity. A black hole can destroy any incoming agent without any observable ...
1309.3858
Matias Korman
Oswin Aichholzer, Thomas Hackl, Matias Korman, Alexander Pilz, Birgit Vogtenhuber
Geodesic-Preserving Polygon Simplification
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polygons are a paramount data structure in computational geometry. While the complexity of many algorithms on simple polygons or polygons with holes depends on the size of the input polygon, the intrinsic complexity of the problems these algorithms solve is often related to the reflex vertices of the polygon. In this...
[ { "created": "Mon, 16 Sep 2013 08:50:17 GMT", "version": "v1" } ]
2013-09-17
[ [ "Aichholzer", "Oswin", "" ], [ "Hackl", "Thomas", "" ], [ "Korman", "Matias", "" ], [ "Pilz", "Alexander", "" ], [ "Vogtenhuber", "Birgit", "" ] ]
Polygons are a paramount data structure in computational geometry. While the complexity of many algorithms on simple polygons or polygons with holes depends on the size of the input polygon, the intrinsic complexity of the problems these algorithms solve is often related to the reflex vertices of the polygon. In this p...
2301.06690
Jing Li
Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Linchao Bao, Zhenyu He
Audio2Gestures: Generating Diverse Gestures from Audio
arXiv admin note: substantial text overlap with arXiv:2108.06720
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
People may perform diverse gestures affected by various mental and physical factors when speaking the same sentences. This inherent one-to-many relationship makes co-speech gesture generation from audio particularly challenging. Conventional CNNs/RNNs assume one-to-one mapping, and thus tend to predict the average of...
[ { "created": "Tue, 17 Jan 2023 04:09:58 GMT", "version": "v1" } ]
2023-01-18
[ [ "Li", "Jing", "" ], [ "Kang", "Di", "" ], [ "Pei", "Wenjie", "" ], [ "Zhe", "Xuefei", "" ], [ "Zhang", "Ying", "" ], [ "Bao", "Linchao", "" ], [ "He", "Zhenyu", "" ] ]
People may perform diverse gestures affected by various mental and physical factors when speaking the same sentences. This inherent one-to-many relationship makes co-speech gesture generation from audio particularly challenging. Conventional CNNs/RNNs assume one-to-one mapping, and thus tend to predict the average of a...