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2405.05633
Jiabin Chen
Jiabin Chen, Fei Xu, Yikun Gu, Li Chen, Fangming Liu, Zhi Zhou
HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions
10 pages, 14 figures, accepted by IWQOS24
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Neural Network (DNN) inference on serverless functions is gaining prominence due to its potential for substantial budget savings. Existing works on serverless DNN inference solely optimize batching requests from one application with a single Service Level Objective (SLO) on CPU functions. However, production ser...
[ { "created": "Thu, 9 May 2024 09:13:32 GMT", "version": "v1" } ]
2024-05-10
[ [ "Chen", "Jiabin", "" ], [ "Xu", "Fei", "" ], [ "Gu", "Yikun", "" ], [ "Chen", "Li", "" ], [ "Liu", "Fangming", "" ], [ "Zhou", "Zhi", "" ] ]
Deep Neural Network (DNN) inference on serverless functions is gaining prominence due to its potential for substantial budget savings. Existing works on serverless DNN inference solely optimize batching requests from one application with a single Service Level Objective (SLO) on CPU functions. However, production serve...
2302.10760
Hadi Sotudeh
Hadi Sotudeh
Potential Penetrative Pass (P3)
StatsBomb Conference 2021 Paper Track: http://statsbomb.com/wp-content/uploads/2021/11/Hadi-SotudehStatsBomb-Conference-2021-Research-Paper.pdf
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
To score goals in football, a team needs to move forward on the pitch and there are various ways to do so. Depending on the game plan & philosophy; some teams prefer to play long balls from either wings or defense. Others, prefer to penetrate in depth with passes and outplay the opponent players. To objectively & in ...
[ { "created": "Thu, 26 Jan 2023 10:49:02 GMT", "version": "v1" } ]
2023-02-22
[ [ "Sotudeh", "Hadi", "" ] ]
To score goals in football, a team needs to move forward on the pitch and there are various ways to do so. Depending on the game plan & philosophy; some teams prefer to play long balls from either wings or defense. Others, prefer to penetrate in depth with passes and outplay the opponent players. To objectively & in an...
2406.16767
Krishnapriya Vishnubhotla
Xi Yu Huang and Krishnapriya Vishnubhotla and Frank Rudzicz
The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively understand the nature of generated stories, and how they differ from human storytelling. We augment the Reddit WritingPrompts dataset with sho...
[ { "created": "Mon, 24 Jun 2024 16:24:18 GMT", "version": "v1" } ]
2024-06-25
[ [ "Huang", "Xi Yu", "" ], [ "Vishnubhotla", "Krishnapriya", "" ], [ "Rudzicz", "Frank", "" ] ]
The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively understand the nature of generated stories, and how they differ from human storytelling. We augment the Reddit WritingPrompts dataset with short...
2403.09309
Arul Selvam Periyasamy
Arul Selvam Periyasamy and Sven Behnke
MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences using Attention-based Temporal Fusion
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Cluttered bin-picking environments are challenging for pose estimation models. Despite the impressive progress enabled by deep learning, single-view RGB pose estimation models perform poorly in cluttered dynamic environments. Imbuing the rich temporal information contained in the video of scenes has the potential to ...
[ { "created": "Thu, 14 Mar 2024 11:59:32 GMT", "version": "v1" } ]
2024-03-15
[ [ "Periyasamy", "Arul Selvam", "" ], [ "Behnke", "Sven", "" ] ]
Cluttered bin-picking environments are challenging for pose estimation models. Despite the impressive progress enabled by deep learning, single-view RGB pose estimation models perform poorly in cluttered dynamic environments. Imbuing the rich temporal information contained in the video of scenes has the potential to en...
2306.10900
Yaqi Zhang
Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei Bai, Qi Chu, Nenghai Yu, Wanli Ouyang
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
18 pages, 8 figures, accepted by AAAI 2024
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works have achieved impressive results in generating motion directly from textual action descriptions, they often support only a single modality...
[ { "created": "Mon, 19 Jun 2023 12:58:17 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2024 04:14:50 GMT", "version": "v2" } ]
2024-03-19
[ [ "Zhang", "Yaqi", "" ], [ "Huang", "Di", "" ], [ "Liu", "Bin", "" ], [ "Tang", "Shixiang", "" ], [ "Lu", "Yan", "" ], [ "Chen", "Lu", "" ], [ "Bai", "Lei", "" ], [ "Chu", "Qi", "" ], [ ...
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works have achieved impressive results in generating motion directly from textual action descriptions, they often support only a single modality o...
1905.10173
Marcus Dees
Marcus Dees, Massimiliano de Leoni, Wil M.P. van der Aalst and Hajo A. Reijers
What if Process Predictions are not followed by Good Recommendations? (Technical Report)
Technical report
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Process-aware Recommender systems (PAR systems) are information systems that aim to monitor process executions, predict their outcome, and recommend effective interventions to reduce the risk of failure. This paper discusses monitoring, predicting, and recommending using a PAR system within a financial institute in t...
[ { "created": "Fri, 24 May 2019 12:03:07 GMT", "version": "v1" }, { "created": "Wed, 29 May 2019 08:49:31 GMT", "version": "v2" }, { "created": "Mon, 15 Jul 2019 15:37:19 GMT", "version": "v3" } ]
2019-07-16
[ [ "Dees", "Marcus", "" ], [ "de Leoni", "Massimiliano", "" ], [ "van der Aalst", "Wil M. P.", "" ], [ "Reijers", "Hajo A.", "" ] ]
Process-aware Recommender systems (PAR systems) are information systems that aim to monitor process executions, predict their outcome, and recommend effective interventions to reduce the risk of failure. This paper discusses monitoring, predicting, and recommending using a PAR system within a financial institute in the...
1901.03149
Matthias Grezet
Matthias Grezet and Camilla Hollanti
The Complete Hierarchical Locality of the Punctured Simplex Code
Draft
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new alphabet-dependent bound for codes with hierarchical locality. Then, the complete list of possible localities is derived for a class of codes obtained by deleting specific columns from a Simplex code. This list is used to show that these codes are optimal codes with hierarchical locality.
[ { "created": "Thu, 10 Jan 2019 13:33:47 GMT", "version": "v1" }, { "created": "Wed, 3 Jul 2019 07:11:47 GMT", "version": "v2" } ]
2019-07-04
[ [ "Grezet", "Matthias", "" ], [ "Hollanti", "Camilla", "" ] ]
This paper presents a new alphabet-dependent bound for codes with hierarchical locality. Then, the complete list of possible localities is derived for a class of codes obtained by deleting specific columns from a Simplex code. This list is used to show that these codes are optimal codes with hierarchical locality.
2407.08395
Mirco Fuchs
Sarah Rockstrok and Patrick Frenzel and Daniel Matthes and Kay Schubert and David Wollburg and Mirco Fuchs
Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Assessing an athlete's performance in canoe sprint is often established by measuring a variety of kinematic parameters during training sessions. Many of these parameters are related to single or multiple paddle stroke cycles. Determining on- and offset of these cycles in force sensor signals is usually not straightfo...
[ { "created": "Thu, 11 Jul 2024 10:59:11 GMT", "version": "v1" } ]
2024-07-12
[ [ "Rockstrok", "Sarah", "" ], [ "Frenzel", "Patrick", "" ], [ "Matthes", "Daniel", "" ], [ "Schubert", "Kay", "" ], [ "Wollburg", "David", "" ], [ "Fuchs", "Mirco", "" ] ]
Assessing an athlete's performance in canoe sprint is often established by measuring a variety of kinematic parameters during training sessions. Many of these parameters are related to single or multiple paddle stroke cycles. Determining on- and offset of these cycles in force sensor signals is usually not straightforw...
2212.10632
Mohammad Javad Shafiee
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
arXiv admin note: substantial text overlap with arXiv:2204.11765
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Light guide plates are essential optical components widely used in a diverse range of applications ranging from medical lighting fixtures to back-lit TV displays. In this work, we introduce a fully-integrated, high-throughput, high-performance deep learning-driven workflow for light guide plate surface visual quality...
[ { "created": "Tue, 20 Dec 2022 20:11:11 GMT", "version": "v1" } ]
2022-12-22
[ [ "Xu", "Carol", "" ], [ "Famouri", "Mahmoud", "" ], [ "Bathla", "Gautam", "" ], [ "Shafiee", "Mohammad Javad", "" ], [ "Wong", "Alexander", "" ] ]
Light guide plates are essential optical components widely used in a diverse range of applications ranging from medical lighting fixtures to back-lit TV displays. In this work, we introduce a fully-integrated, high-throughput, high-performance deep learning-driven workflow for light guide plate surface visual quality i...
2109.06707
Giovanni Cin\`a
Adam Izdebski, Patrick J. Thoral, Robbert C.A. Lalisang, Dean M. McHugh, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A.A. Peters, Marlijn J.A Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G.C.A. Nooteboom, Wouter de R...
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from observational data. The consequence on clinical practice is that, when lacking results from a randomized trial, medical personnel is left without guidance on what seems t...
[ { "created": "Tue, 14 Sep 2021 14:14:37 GMT", "version": "v1" }, { "created": "Fri, 3 Dec 2021 11:07:30 GMT", "version": "v2" } ]
2021-12-06
[ [ "Izdebski", "Adam", "" ], [ "Thoral", "Patrick J.", "" ], [ "Lalisang", "Robbert C. A.", "" ], [ "McHugh", "Dean M.", "" ], [ "Gommers", "Diederik", "" ], [ "Cremer", "Olaf L.", "" ], [ "Bosman", "Rob J.", ...
Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from observational data. The consequence on clinical practice is that, when lacking results from a randomized trial, medical personnel is left without guidance on what seems to ...
1001.2250
Rdv Ijcsis
B. Sathish Kumar, K. R. Shankar Kumar, R. Radhakrishnan
An Efficient Inter Carrier Interference Cancellation Schemes for OFDM Systems
8 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS December 2009, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 141-148, December 2009, USA
null
Volume 6, No. 3, ISSN 1947 5500
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Orthogonal Frequency Division Multiplexing (OFDM) has recently been used widely in wireless communication systems. OFDM is very effective in combating intersymbol interference and can achieve high data rate in frequency selective channel. For OFDM communication systems, the frequency offsets in mobile radio channels ...
[ { "created": "Wed, 13 Jan 2010 18:14:16 GMT", "version": "v1" } ]
2010-01-14
[ [ "Kumar", "B. Sathish", "" ], [ "Kumar", "K. R. Shankar", "" ], [ "Radhakrishnan", "R.", "" ] ]
Orthogonal Frequency Division Multiplexing (OFDM) has recently been used widely in wireless communication systems. OFDM is very effective in combating intersymbol interference and can achieve high data rate in frequency selective channel. For OFDM communication systems, the frequency offsets in mobile radio channels di...
2109.13050
Matthias Mayr
Matthias Mayr, Konstantinos Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi and Volker Krueger
Learning of Parameters in Behavior Trees for Movement Skills
8 pages, 5 figures, accepted at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
null
10.1109/IROS51168.2021.9636292
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
Reinforcement Learning (RL) is a powerful mathematical framework that allows robots to learn complex skills by trial-and-error. Despite numerous successes in many applications, RL algorithms still require thousands of trials to converge to high-performing policies, can produce dangerous behaviors while learning, and ...
[ { "created": "Mon, 27 Sep 2021 13:46:39 GMT", "version": "v1" }, { "created": "Tue, 2 Aug 2022 13:47:09 GMT", "version": "v2" } ]
2022-08-03
[ [ "Mayr", "Matthias", "" ], [ "Chatzilygeroudis", "Konstantinos", "" ], [ "Ahmad", "Faseeh", "" ], [ "Nardi", "Luigi", "" ], [ "Krueger", "Volker", "" ] ]
Reinforcement Learning (RL) is a powerful mathematical framework that allows robots to learn complex skills by trial-and-error. Despite numerous successes in many applications, RL algorithms still require thousands of trials to converge to high-performing policies, can produce dangerous behaviors while learning, and th...
2007.10205
Nir Sochen
Ido Ben-Shaul, Leah Bar and Nir Sochen
Solving the functional Eigen-Problem using Neural Networks
null
null
null
null
cs.LG cs.NA math.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations. The question we aime to address is whether, given a self-adjoint operator, we can learn what are the eigenfunctions, and their matching eigenvalues. The topic of solving the eige...
[ { "created": "Mon, 20 Jul 2020 15:41:22 GMT", "version": "v1" } ]
2020-07-21
[ [ "Ben-Shaul", "Ido", "" ], [ "Bar", "Leah", "" ], [ "Sochen", "Nir", "" ] ]
In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations. The question we aime to address is whether, given a self-adjoint operator, we can learn what are the eigenfunctions, and their matching eigenvalues. The topic of solving the eigen-...
cs/0506007
Vladimir Vovk
Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer
Defensive forecasting for linear protocols
16 pages
null
null
null
cs.LG
null
We consider a general class of forecasting protocols, called "linear protocols", and discuss several important special cases, including multi-class forecasting. Forecasting is formalized as a game between three players: Reality, whose role is to generate observations; Forecaster, whose goal is to predict the observat...
[ { "created": "Thu, 2 Jun 2005 13:26:43 GMT", "version": "v1" }, { "created": "Sat, 24 Sep 2005 16:55:14 GMT", "version": "v2" } ]
2007-05-23
[ [ "Vovk", "Vladimir", "" ], [ "Nouretdinov", "Ilia", "" ], [ "Takemura", "Akimichi", "" ], [ "Shafer", "Glenn", "" ] ]
We consider a general class of forecasting protocols, called "linear protocols", and discuss several important special cases, including multi-class forecasting. Forecasting is formalized as a game between three players: Reality, whose role is to generate observations; Forecaster, whose goal is to predict the observatio...
2309.05113
Deguang Kong
Deguang Kong, Daniel Zhou, Zhiheng Huang and Steph Sigalas
Personalized Search Via Neural Contextual Semantic Relevance Ranking
Contextual, Personalization, Search, Semantics, LLM, embedding
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Existing neural relevance models do not give enough consideration for query and item context information which diversifies the search results to adapt for personal preference. To bridge this gap, this paper presents a neural learning framework to personalize document ranking results by leveraging the signals to captu...
[ { "created": "Sun, 10 Sep 2023 19:01:12 GMT", "version": "v1" } ]
2023-09-12
[ [ "Kong", "Deguang", "" ], [ "Zhou", "Daniel", "" ], [ "Huang", "Zhiheng", "" ], [ "Sigalas", "Steph", "" ] ]
Existing neural relevance models do not give enough consideration for query and item context information which diversifies the search results to adapt for personal preference. To bridge this gap, this paper presents a neural learning framework to personalize document ranking results by leveraging the signals to capture...
1907.06054
Yuantao Gu
Gen Li, Xingyu Xu, Yuantao Gu
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
24 pages, 1 figure
null
10.1109/TSP.2020.2985848
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Restricted Isometry Property (RIP) is of fundamental importance in the theory of compressed sensing and forms the base of many exact and robust recovery guarantees in this field. A quantitative description of RIP involves bounding the so-called RIP constants of measurement matrices. In this respect, it is noteworthy ...
[ { "created": "Sat, 13 Jul 2019 11:42:34 GMT", "version": "v1" } ]
2020-07-15
[ [ "Li", "Gen", "" ], [ "Xu", "Xingyu", "" ], [ "Gu", "Yuantao", "" ] ]
Restricted Isometry Property (RIP) is of fundamental importance in the theory of compressed sensing and forms the base of many exact and robust recovery guarantees in this field. A quantitative description of RIP involves bounding the so-called RIP constants of measurement matrices. In this respect, it is noteworthy th...
2206.09564
Chenglizhao Chen
Chenglizhao Chen and Hengsen Wang and Yuming Fang and Chong Peng
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spatial and temporal saliency fusion by solely considering the current consecutive limited frames. However, the short-term methodology has one...
[ { "created": "Mon, 20 Jun 2022 04:27:47 GMT", "version": "v1" } ]
2022-06-22
[ [ "Chen", "Chenglizhao", "" ], [ "Wang", "Hengsen", "" ], [ "Fang", "Yuming", "" ], [ "Peng", "Chong", "" ] ]
The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spatial and temporal saliency fusion by solely considering the current consecutive limited frames. However, the short-term methodology has one c...
1801.07319
Duong Nguyen
Duong Nguyen, Aleksey Charapko, Sandeep Kulkarni, Murat Demirbas
Optimistic Execution in Key-Value Store
This paper is submitted to ICDCS 2018
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Limitations of CAP theorem imply that if availability is desired in the presence of network partitions, one must sacrifice sequential consistency, a consistency model that is more natural for system design. We focus on the problem of what a designer should do if she has an algorithm that works correctly with sequenti...
[ { "created": "Mon, 22 Jan 2018 20:58:37 GMT", "version": "v1" } ]
2018-01-24
[ [ "Nguyen", "Duong", "" ], [ "Charapko", "Aleksey", "" ], [ "Kulkarni", "Sandeep", "" ], [ "Demirbas", "Murat", "" ] ]
Limitations of CAP theorem imply that if availability is desired in the presence of network partitions, one must sacrifice sequential consistency, a consistency model that is more natural for system design. We focus on the problem of what a designer should do if she has an algorithm that works correctly with sequential...
2402.02316
Huanran Chen
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
Your Diffusion Model is Secretly a Certifiably Robust Classifier
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models are recently employed as generative classifiers for robust classification. However, a comprehensive theoretical understanding of the robustness of diffusion classifiers is still lacking, leading us to question whether they will be vulnerable to future stronger attacks. In this study, we propose a new...
[ { "created": "Sun, 4 Feb 2024 02:09:18 GMT", "version": "v1" }, { "created": "Tue, 13 Feb 2024 08:23:18 GMT", "version": "v2" } ]
2024-02-14
[ [ "Chen", "Huanran", "" ], [ "Dong", "Yinpeng", "" ], [ "Shao", "Shitong", "" ], [ "Hao", "Zhongkai", "" ], [ "Yang", "Xiao", "" ], [ "Su", "Hang", "" ], [ "Zhu", "Jun", "" ] ]
Diffusion models are recently employed as generative classifiers for robust classification. However, a comprehensive theoretical understanding of the robustness of diffusion classifiers is still lacking, leading us to question whether they will be vulnerable to future stronger attacks. In this study, we propose a new f...
2404.12957
Qinyuan Wu
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an approach for estimating the latent knowledge embedded inside large language models (LLMs). We leverage the in-context learning (ICL) abilities of LLMs to estimate the extent to which an LLM knows the facts stored in a knowledge base. Our knowledge estimator avoids reliability concerns with previous prom...
[ { "created": "Fri, 19 Apr 2024 15:40:39 GMT", "version": "v1" } ]
2024-04-22
[ [ "Wu", "Qinyuan", "" ], [ "Khan", "Mohammad Aflah", "" ], [ "Das", "Soumi", "" ], [ "Nanda", "Vedant", "" ], [ "Ghosh", "Bishwamittra", "" ], [ "Kolling", "Camila", "" ], [ "Speicher", "Till", "" ], [ ...
We propose an approach for estimating the latent knowledge embedded inside large language models (LLMs). We leverage the in-context learning (ICL) abilities of LLMs to estimate the extent to which an LLM knows the facts stored in a knowledge base. Our knowledge estimator avoids reliability concerns with previous prompt...
2401.06970
Nelly Elsayed
Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
9 pages, 5 figures, 9 tables, under review process
null
null
null
cs.LG cs.HC eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter approach based on ensemble modeling for augmenting the temporal information capturing for long-term and short-term dependencies in data in...
[ { "created": "Sat, 13 Jan 2024 03:53:47 GMT", "version": "v1" } ]
2024-01-17
[ [ "Elsayed", "Nelly", "" ], [ "Zekios", "Constantinos L.", "" ], [ "Asadizanjani", "Navid", "" ], [ "ElSayed", "Zag", "" ] ]
Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter approach based on ensemble modeling for augmenting the temporal information capturing for long-term and short-term dependencies in data inte...
1806.01022
Kilian Verhetsel
Kilian Verhetsel, Jeanne Pellerin, Jean-fran\c{c}ois Remacle
A 44-element mesh of Schneiders' pyramid: bounding the difficulty of hex-meshing problems
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper shows that constraint programming techniques can successfully be used to solve challenging hex-meshing problems. Schneiders' pyramid is a square-based pyramid whose facets are subdivided into three or four quadrangles by adding vertices at edge midpoints and facet centroids. In this paper, we prove that Sc...
[ { "created": "Mon, 4 Jun 2018 09:20:25 GMT", "version": "v1" }, { "created": "Fri, 21 Sep 2018 09:31:23 GMT", "version": "v2" } ]
2018-09-24
[ [ "Verhetsel", "Kilian", "" ], [ "Pellerin", "Jeanne", "" ], [ "Remacle", "Jean-françois", "" ] ]
This paper shows that constraint programming techniques can successfully be used to solve challenging hex-meshing problems. Schneiders' pyramid is a square-based pyramid whose facets are subdivided into three or four quadrangles by adding vertices at edge midpoints and facet centroids. In this paper, we prove that Schn...
2208.04766
Chunyu Sun
Chunyu Sun, Xin Tong, Yang Liu
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance Segmentation
Accepted by Computational Visual Media. Project page: https://isunchy.github.io/projects/3d_instance_segmentation.html
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent relationship between shape semantics and part instances. In thi...
[ { "created": "Tue, 9 Aug 2022 13:22:55 GMT", "version": "v1" } ]
2022-08-10
[ [ "Sun", "Chunyu", "" ], [ "Tong", "Xin", "" ], [ "Liu", "Yang", "" ] ]
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent relationship between shape semantics and part instances. In this ...
2109.02337
Omri Lev
Omri Lev, Anatoly Khina
Universal Joint Source-Channel Coding Under an Input Energy Constraint
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of transmitting a source over an infinite-bandwidth additive white Gaussian noise channel with unknown noise level under an input energy constraint. We construct a universal scheme that uses modulo-lattice modulation with multiple layers; for each layer, we employ either analog linear modulati...
[ { "created": "Mon, 6 Sep 2021 10:13:13 GMT", "version": "v1" }, { "created": "Wed, 18 Jan 2023 20:17:07 GMT", "version": "v2" } ]
2023-01-20
[ [ "Lev", "Omri", "" ], [ "Khina", "Anatoly", "" ] ]
We consider the problem of transmitting a source over an infinite-bandwidth additive white Gaussian noise channel with unknown noise level under an input energy constraint. We construct a universal scheme that uses modulo-lattice modulation with multiple layers; for each layer, we employ either analog linear modulation...
2210.01703
Holger Severin Bovbjerg
Holger Severin Bovbjerg, Zheng-Hua Tan
Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining
To be published at ICASSP2023 Workshop on Self-supervision in Audio, Speech and Beyond, 10th of June 2023, Rhodes, Greece. Copyright (c) 2023 IEEE. 5 pages, 3 figures, 3 tables
null
null
null
cs.SD cs.HC cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Keyword Spotting (KWS) models are becoming increasingly integrated into various systems, e.g. voice assistants. To achieve satisfactory performance, these models typically rely on a large amount of labelled data, limiting their applications only to situations where such data is available. Self-supervised Learning (SS...
[ { "created": "Tue, 4 Oct 2022 15:56:27 GMT", "version": "v1" }, { "created": "Fri, 9 Dec 2022 13:31:06 GMT", "version": "v2" }, { "created": "Wed, 24 May 2023 12:17:31 GMT", "version": "v3" } ]
2023-05-25
[ [ "Bovbjerg", "Holger Severin", "" ], [ "Tan", "Zheng-Hua", "" ] ]
Keyword Spotting (KWS) models are becoming increasingly integrated into various systems, e.g. voice assistants. To achieve satisfactory performance, these models typically rely on a large amount of labelled data, limiting their applications only to situations where such data is available. Self-supervised Learning (SSL)...
1909.09750
Sarthak Arora
Sarthak Arora, Shitij Kumar and Ferat Sahin
Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a simple methodology to detect the partial pose of a human occupying the manipulator work-space using only on-robot time--of--flight laser ranging sensors. The sensors are affixed on each link of the robot in a circular array fashion where each array possesses sixteen single unit laser rangi...
[ { "created": "Sat, 21 Sep 2019 00:34:45 GMT", "version": "v1" } ]
2019-09-24
[ [ "Arora", "Sarthak", "" ], [ "Kumar", "Shitij", "" ], [ "Sahin", "Ferat", "" ] ]
In this paper, we propose a simple methodology to detect the partial pose of a human occupying the manipulator work-space using only on-robot time--of--flight laser ranging sensors. The sensors are affixed on each link of the robot in a circular array fashion where each array possesses sixteen single unit laser ranging...
0908.1188
Grenville Croll
Thomas A. Grossman, Ozgur Ozluk, Jan Gustavson
The Lookup Technique to Replace Nested-IF Formulas in Spreadsheet Programming
10 Pages, 5 Figures; ISBN 978-1-905617-89-0
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2009 17-26
null
null
cs.SE cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spreadsheet programmers often implement contingent logic using a nested-IF formula even though this technique is difficult to test and audit and is believed to be risky. We interpret the programming of contingent logic in spreadsheets in the context of traditional computer programming. We investigate the "lookup tech...
[ { "created": "Sat, 8 Aug 2009 20:53:04 GMT", "version": "v1" } ]
2011-02-19
[ [ "Grossman", "Thomas A.", "" ], [ "Ozluk", "Ozgur", "" ], [ "Gustavson", "Jan", "" ] ]
Spreadsheet programmers often implement contingent logic using a nested-IF formula even though this technique is difficult to test and audit and is believed to be risky. We interpret the programming of contingent logic in spreadsheets in the context of traditional computer programming. We investigate the "lookup techni...
1402.5503
Huazi Zhang
Huazi Zhang, Zhaoyang Zhang, Yuen Chau
Distributed Compressed Wideband Sensing in Cognitive Radio Sensor Networks
null
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel distributed compressed wideband sensing scheme for Cognitive Radio Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the distributive nature of CRSN, the proposed scheme deploys only one single narrowband sampler with ultra-low sampling rate at each nodes to accomplish the wideband spectru...
[ { "created": "Sat, 22 Feb 2014 11:58:39 GMT", "version": "v1" } ]
2014-02-25
[ [ "Zhang", "Huazi", "" ], [ "Zhang", "Zhaoyang", "" ], [ "Chau", "Yuen", "" ] ]
A novel distributed compressed wideband sensing scheme for Cognitive Radio Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the distributive nature of CRSN, the proposed scheme deploys only one single narrowband sampler with ultra-low sampling rate at each nodes to accomplish the wideband spectrum ...
1402.5743
Shen Huang
Shen Huang, Hongfei Cui, Yiming Ding
Evaluation of node importance in complex networks
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The assessment of node importance has been a fundamental issue in the research of complex networks. In this paper, we propose to use the Shannon-Parry measure (SPM) to evaluate the importance of a node quantitatively, because SPM is the stationary distribution of the most unprejudiced random walk on the network. We d...
[ { "created": "Mon, 24 Feb 2014 08:08:22 GMT", "version": "v1" } ]
2014-02-25
[ [ "Huang", "Shen", "" ], [ "Cui", "Hongfei", "" ], [ "Ding", "Yiming", "" ] ]
The assessment of node importance has been a fundamental issue in the research of complex networks. In this paper, we propose to use the Shannon-Parry measure (SPM) to evaluate the importance of a node quantitatively, because SPM is the stationary distribution of the most unprejudiced random walk on the network. We dem...
2406.12272
Jindong Jiang
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
Slot State Space Models
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure...
[ { "created": "Tue, 18 Jun 2024 04:59:14 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2024 22:53:36 GMT", "version": "v2" }, { "created": "Wed, 26 Jun 2024 03:04:04 GMT", "version": "v3" }, { "created": "Sun, 30 Jun 2024 22:25:01 GMT", "version": "v4" } ]
2024-07-02
[ [ "Jiang", "Jindong", "" ], [ "Deng", "Fei", "" ], [ "Singh", "Gautam", "" ], [ "Lee", "Minseung", "" ], [ "Ahn", "Sungjin", "" ] ]
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure. ...
2406.17838
Jinbin Huang
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation
null
null
null
null
cs.LG cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of large-scale pre-trained models has heightened their application in various downstream tasks, yet deployment is a challenge in environments with limited computational resources. Knowledge distillation has emerged as a solution in such scenarios, whereby knowledge from large teacher models is transferr...
[ { "created": "Tue, 25 Jun 2024 16:56:45 GMT", "version": "v1" } ]
2024-06-27
[ [ "Huang", "Jinbin", "" ], [ "He", "Wenbin", "" ], [ "Gou", "Liang", "" ], [ "Ren", "Liu", "" ], [ "Bryan", "Chris", "" ] ]
The emergence of large-scale pre-trained models has heightened their application in various downstream tasks, yet deployment is a challenge in environments with limited computational resources. Knowledge distillation has emerged as a solution in such scenarios, whereby knowledge from large teacher models is transferred...
2306.17348
Jonathan Klawitter
Jonathan Klawitter, Felix Klesen, Joris Y. Scholl, Thomas C. van Dijk, Alexander Zaft
Visualizing Geophylogenies -- Internal and External Labeling with Phylogenetic Tree Constraints
A preliminary version of this paper appeared in the proceedings of the 12th International Conference on Geographic Information Science (GIScience 2023)
null
null
null
cs.DM cs.CC math.CO
http://creativecommons.org/licenses/by/4.0/
A geophylogeny is a phylogenetic tree where each leaf (biological taxon) has an associated geographic location (site). To clearly visualize a geophylogeny, the tree is typically represented as a crossing-free drawing next to a map. The correspondence between the taxa and the sites is either shown with matching labels...
[ { "created": "Fri, 30 Jun 2023 00:32:08 GMT", "version": "v1" } ]
2023-07-03
[ [ "Klawitter", "Jonathan", "" ], [ "Klesen", "Felix", "" ], [ "Scholl", "Joris Y.", "" ], [ "van Dijk", "Thomas C.", "" ], [ "Zaft", "Alexander", "" ] ]
A geophylogeny is a phylogenetic tree where each leaf (biological taxon) has an associated geographic location (site). To clearly visualize a geophylogeny, the tree is typically represented as a crossing-free drawing next to a map. The correspondence between the taxa and the sites is either shown with matching labels o...
2310.07855
Tim Lebailly
Tim Lebailly, Thomas Stegm\"uller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
ICLR 2024 (spotlight)
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Leveraging nearest neighbor retrieval for self-supervised representation learning has proven beneficial with object-centric images. However, this approach faces limitations when applied to scene-centric datasets, where multiple objects within an image are only implicitly captured in the global representation. Such gl...
[ { "created": "Wed, 11 Oct 2023 19:57:51 GMT", "version": "v1" }, { "created": "Sun, 3 Mar 2024 09:57:57 GMT", "version": "v2" } ]
2024-03-05
[ [ "Lebailly", "Tim", "" ], [ "Stegmüller", "Thomas", "" ], [ "Bozorgtabar", "Behzad", "" ], [ "Thiran", "Jean-Philippe", "" ], [ "Tuytelaars", "Tinne", "" ] ]
Leveraging nearest neighbor retrieval for self-supervised representation learning has proven beneficial with object-centric images. However, this approach faces limitations when applied to scene-centric datasets, where multiple objects within an image are only implicitly captured in the global representation. Such glob...
2007.00415
Quinten Stokkink
Quinten Stokkink, Georgy Ishmaev, Dick Epema, Johan Pouwelse
A Truly Self-Sovereign Identity System
Accepted for publication at the 46th IEEE Conference on Local Computer Networks (LCN), October 4-7, 2021
null
10.1109/LCN52139.2021.9525011
null
cs.CR cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Existing digital identity management systems fail to deliver the desirable properties of control by the users of their own identity data, credibility of disclosed identity data, and network-level anonymity. The recently proposed Self-Sovereign Identity (SSI) approach promises to give users these properties. However, ...
[ { "created": "Wed, 1 Jul 2020 12:14:04 GMT", "version": "v1" }, { "created": "Tue, 28 Sep 2021 09:22:41 GMT", "version": "v2" } ]
2021-09-29
[ [ "Stokkink", "Quinten", "" ], [ "Ishmaev", "Georgy", "" ], [ "Epema", "Dick", "" ], [ "Pouwelse", "Johan", "" ] ]
Existing digital identity management systems fail to deliver the desirable properties of control by the users of their own identity data, credibility of disclosed identity data, and network-level anonymity. The recently proposed Self-Sovereign Identity (SSI) approach promises to give users these properties. However, we...
2009.05634
Michele Tufano
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers
null
null
10.1145/3524481.3527220
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unit testing represents the foundational basis of the software testing pyramid, beneath integration and end-to-end testing. Automated software testing researchers have proposed a variety of techniques to assist developers in this time-consuming task. In this paper we present an approach to support developers in writi...
[ { "created": "Fri, 11 Sep 2020 19:35:09 GMT", "version": "v1" } ]
2022-03-25
[ [ "Tufano", "Michele", "" ], [ "Drain", "Dawn", "" ], [ "Svyatkovskiy", "Alexey", "" ], [ "Sundaresan", "Neel", "" ] ]
Unit testing represents the foundational basis of the software testing pyramid, beneath integration and end-to-end testing. Automated software testing researchers have proposed a variety of techniques to assist developers in this time-consuming task. In this paper we present an approach to support developers in writing...
1908.03057
Roni Saputra Permana
Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
10 pages, 10 figures, accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 3918-3925
10.1109/IROS40897.2019.8967642
null
cs.CV cs.RO
http://creativecommons.org/publicdomain/zero/1.0/
This paper addresses the problem of human body detection---particularly a human body lying on the ground (a.k.a. casualty)---using point cloud data. This ability to detect a casualty is one of the most important features of mobile rescue robots, in order for them to be able to operate autonomously. We propose a deep-...
[ { "created": "Thu, 8 Aug 2019 13:25:00 GMT", "version": "v1" }, { "created": "Fri, 9 Aug 2019 15:37:31 GMT", "version": "v2" } ]
2020-02-19
[ [ "Saputra", "Roni Permana", "" ], [ "Rakicevic", "Nemanja", "" ], [ "Kormushev", "Petar", "" ] ]
This paper addresses the problem of human body detection---particularly a human body lying on the ground (a.k.a. casualty)---using point cloud data. This ability to detect a casualty is one of the most important features of mobile rescue robots, in order for them to be able to operate autonomously. We propose a deep-le...
2307.09390
Kai Li
Yuzhuo Wang, Kai Li
How do software citation formats evolve over time? A longitudinal analysis of R programming language packages
null
null
null
null
cs.DL cs.CL
http://creativecommons.org/licenses/by/4.0/
Under the data-driven research paradigm, research software has come to play crucial roles in nearly every stage of scientific inquiry. Scholars are advocating for the formal citation of software in academic publications, treating it on par with traditional research outputs. However, software is hardly consistently ci...
[ { "created": "Mon, 17 Jul 2023 09:18:57 GMT", "version": "v1" } ]
2023-07-19
[ [ "Wang", "Yuzhuo", "" ], [ "Li", "Kai", "" ] ]
Under the data-driven research paradigm, research software has come to play crucial roles in nearly every stage of scientific inquiry. Scholars are advocating for the formal citation of software in academic publications, treating it on par with traditional research outputs. However, software is hardly consistently cite...
2402.03037
Federico Clazzer
Federico Clazzer and Farouk Amri and Marcel Grec
An Investigation of the Compressed Sensing Phase in Unsourced Multiple Access
6 pages, 4 figures, Accepted for publication at IEEE WCNC 2024 WS
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A vast population of low-cost low-power transmitters sporadically sending small amounts of data over a common wireless medium is one of the main scenarios for Internet of things (IoT) data communications. At the medium access, the use of grant-free solutions may be preferred to reduce overhead even at the cost of mul...
[ { "created": "Mon, 5 Feb 2024 14:22:25 GMT", "version": "v1" } ]
2024-02-07
[ [ "Clazzer", "Federico", "" ], [ "Amri", "Farouk", "" ], [ "Grec", "Marcel", "" ] ]
A vast population of low-cost low-power transmitters sporadically sending small amounts of data over a common wireless medium is one of the main scenarios for Internet of things (IoT) data communications. At the medium access, the use of grant-free solutions may be preferred to reduce overhead even at the cost of multi...
2107.10220
Anastasia Antsiferova
Anastasia Antsiferova, Alexander Yakovenko, Nickolay Safonov, Dmitriy Kulikov, Alexander Gushin, and Dmitriy Vatolin
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation
null
null
null
null
cs.MM cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the classical methods like PSNR, SSIM and new method VMAF. These methods can be ca...
[ { "created": "Wed, 21 Jul 2021 17:18:11 GMT", "version": "v1" } ]
2021-07-22
[ [ "Antsiferova", "Anastasia", "" ], [ "Yakovenko", "Alexander", "" ], [ "Safonov", "Nickolay", "" ], [ "Kulikov", "Dmitriy", "" ], [ "Gushin", "Alexander", "" ], [ "Vatolin", "Dmitriy", "" ] ]
Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the classical methods like PSNR, SSIM and new method VMAF. These methods can be calc...
1301.2343
Harm van Seijen
Harm van Seijen and Richard S. Sutton
Planning by Prioritized Sweeping with Small Backups
null
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Efficient planning plays a crucial role in model-based reinforcement learning. Traditionally, the main planning operation is a full backup based on the current estimates of the successor states. Consequently, its computation time is proportional to the number of successor states. In this paper, we introduce a new pla...
[ { "created": "Thu, 10 Jan 2013 21:54:42 GMT", "version": "v1" } ]
2013-01-14
[ [ "van Seijen", "Harm", "" ], [ "Sutton", "Richard S.", "" ] ]
Efficient planning plays a crucial role in model-based reinforcement learning. Traditionally, the main planning operation is a full backup based on the current estimates of the successor states. Consequently, its computation time is proportional to the number of successor states. In this paper, we introduce a new plann...
2101.02649
Elmira Amirloo Abolfathi
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
NeurIPS2019 Workshop on Safety and Robustness in Decision Making
null
null
null
cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the recent successes of reinforcement learning in games and robotics, it is yet to become broadly practical. Sample efficiency and unreliable performance in rare but challenging scenarios are two of the major obstacles. Drawing inspiration from the effectiveness of deliberate practice for achieving expert-lev...
[ { "created": "Thu, 7 Jan 2021 17:45:18 GMT", "version": "v1" } ]
2021-01-08
[ [ "Abolfathi", "Elmira Amirloo", "" ], [ "Luo", "Jun", "" ], [ "Yadmellat", "Peyman", "" ], [ "Rezaee", "Kasra", "" ] ]
Despite the recent successes of reinforcement learning in games and robotics, it is yet to become broadly practical. Sample efficiency and unreliable performance in rare but challenging scenarios are two of the major obstacles. Drawing inspiration from the effectiveness of deliberate practice for achieving expert-level...
1503.00711
Rachel Gauci
Rachel Gauci
Smelling out Code Clones: Clone Detection Tool Evaluation and Corresponding Challenges
8 pages, 2 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software clones have been an active area of research for the past two decades. However, although numerous clone detection tools are now available, only a small fraction of the literature has focused on tool evaluation, and this is in fact still an open problem. This is mostly due to the fact that standard information...
[ { "created": "Mon, 2 Mar 2015 20:59:40 GMT", "version": "v1" } ]
2015-03-03
[ [ "Gauci", "Rachel", "" ] ]
Software clones have been an active area of research for the past two decades. However, although numerous clone detection tools are now available, only a small fraction of the literature has focused on tool evaluation, and this is in fact still an open problem. This is mostly due to the fact that standard information r...
2102.12723
Dmitry Ignatov
L\'eonard Kwuida and Dmitry I. Ignatov
On Interpretability and Similarity in Concept-Based Machine Learning
Invited Talk at AIST 2020
null
null
null
cs.LG cs.AI cs.DM math.CO stat.ML
http://creativecommons.org/licenses/by/4.0/
Machine Learning (ML) provides important techniques for classification and predictions. Most of these are black-box models for users and do not provide decision-makers with an explanation. For the sake of transparency or more validity of decisions, the need to develop explainable/interpretable ML-methods is gaining m...
[ { "created": "Thu, 25 Feb 2021 07:57:28 GMT", "version": "v1" } ]
2021-02-26
[ [ "Kwuida", "Léonard", "" ], [ "Ignatov", "Dmitry I.", "" ] ]
Machine Learning (ML) provides important techniques for classification and predictions. Most of these are black-box models for users and do not provide decision-makers with an explanation. For the sake of transparency or more validity of decisions, the need to develop explainable/interpretable ML-methods is gaining mor...
2205.12551
Yahui Liu
Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei Wang
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
Accepted to CVPR2023
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Position Embeddings (PEs), an arguably indispensable component in Vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs have a potentially high risk of privacy leakage since the spatial information of the input patches is exposed. This caveat naturally raise...
[ { "created": "Wed, 25 May 2022 07:56:18 GMT", "version": "v1" }, { "created": "Sun, 5 Mar 2023 11:04:12 GMT", "version": "v2" }, { "created": "Fri, 26 May 2023 07:42:21 GMT", "version": "v3" } ]
2023-05-29
[ [ "Ren", "Bin", "" ], [ "Liu", "Yahui", "" ], [ "Song", "Yue", "" ], [ "Bi", "Wei", "" ], [ "Cucchiara", "Rita", "" ], [ "Sebe", "Nicu", "" ], [ "Wang", "Wei", "" ] ]
Position Embeddings (PEs), an arguably indispensable component in Vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs have a potentially high risk of privacy leakage since the spatial information of the input patches is exposed. This caveat naturally raises ...
1104.0298
Shaghayegh A.zadegan
Ashkan Khatir, Shaghayegh Abdolahzadegan and Iman Mahmoudi
High Speed Multiple Valued Logic Full Adder Using Carbon Nano Tube Field Effect Transistor
null
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High speed Full-Adder (FA) module is a critical element in designing high performance arithmetic circuits. In this paper, we propose a new high speed multiple-valued logic FA module. The proposed FA is constructed by 14 transistors and 3 capacitors, using carbon nano-tube field effect transistor (CNFET) technology. F...
[ { "created": "Sat, 2 Apr 2011 07:14:38 GMT", "version": "v1" } ]
2011-04-05
[ [ "Khatir", "Ashkan", "" ], [ "Abdolahzadegan", "Shaghayegh", "" ], [ "Mahmoudi", "Iman", "" ] ]
High speed Full-Adder (FA) module is a critical element in designing high performance arithmetic circuits. In this paper, we propose a new high speed multiple-valued logic FA module. The proposed FA is constructed by 14 transistors and 3 capacitors, using carbon nano-tube field effect transistor (CNFET) technology. Fur...
2011.04772
Wenzhong Yan
Wenzhong Yan and Ankur Mehta
Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems
This paper has been accepted for publication in Robotica. 18 pages, 9 figures
Robotica, pp.1-17 (2020)
10.1017/S0263574720001101
null
cs.RO physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To improve the accessibility of robotics, we propose a design and fabrication strategy to build low-cost electromechanical systems for robotic devices. Our method, based on origami-inspired cut-and-fold and E-textiles techniques, aims at minimizing the resources for robot creation. Specifically, we explore techniques...
[ { "created": "Mon, 9 Nov 2020 21:18:05 GMT", "version": "v1" } ]
2021-08-20
[ [ "Yan", "Wenzhong", "" ], [ "Mehta", "Ankur", "" ] ]
To improve the accessibility of robotics, we propose a design and fabrication strategy to build low-cost electromechanical systems for robotic devices. Our method, based on origami-inspired cut-and-fold and E-textiles techniques, aims at minimizing the resources for robot creation. Specifically, we explore techniques t...
2002.02516
Ran Cohen
Elette Boyle and Ran Cohen and Aarushi Goel
Breaking the $O(\sqrt n)$-Bit Barrier: Byzantine Agreement with Polylog Bits Per Party
Preliminary version appeared in PODC'21; full version appeared in Journal of Cryptology 2023
null
null
null
cs.CR cs.DC
http://creativecommons.org/licenses/by/4.0/
Byzantine agreement (BA), the task of $n$ parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that lies at the core of a vast range of distributed protocols. Interestingly, in protocols with the best overall communication, the demands of the parties are highly unbalanc...
[ { "created": "Thu, 6 Feb 2020 21:19:32 GMT", "version": "v1" }, { "created": "Mon, 13 Jul 2020 15:28:28 GMT", "version": "v2" }, { "created": "Tue, 16 Feb 2021 20:34:36 GMT", "version": "v3" }, { "created": "Mon, 26 Jul 2021 18:51:58 GMT", "version": "v4" }, { "cr...
2023-10-23
[ [ "Boyle", "Elette", "" ], [ "Cohen", "Ran", "" ], [ "Goel", "Aarushi", "" ] ]
Byzantine agreement (BA), the task of $n$ parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that lies at the core of a vast range of distributed protocols. Interestingly, in protocols with the best overall communication, the demands of the parties are highly unbalanced...
2312.05832
Yang Zhang
Yang Zhang, Huilin Pan, Mingying Li, An Wang, Yang Zhou, Hongliang Ren
Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains
10 pages, 6 figures
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Despite the successful application of convolutional neural networks (CNNs) in object detection tasks, their efficiency in detecting faults from freight train images remains inadequate for implementation in real-world engineering scenarios. Existing modeling shortcomings of spatial invariance and pooling layers in con...
[ { "created": "Sun, 10 Dec 2023 09:18:24 GMT", "version": "v1" } ]
2023-12-12
[ [ "Zhang", "Yang", "" ], [ "Pan", "Huilin", "" ], [ "Li", "Mingying", "" ], [ "Wang", "An", "" ], [ "Zhou", "Yang", "" ], [ "Ren", "Hongliang", "" ] ]
Despite the successful application of convolutional neural networks (CNNs) in object detection tasks, their efficiency in detecting faults from freight train images remains inadequate for implementation in real-world engineering scenarios. Existing modeling shortcomings of spatial invariance and pooling layers in conve...
1612.09352
Ingmar Steiner
Ingmar Steiner, S\'ebastien Le Maguer and Alexander Hewer
Synthesis of Tongue Motion and Acoustics from Text using a Multimodal Articulatory Database
null
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (2017) 2351 - 2361
10.1109/TASLP.2017.2756818
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an end-to-end text-to-speech (TTS) synthesis system that generates audio and synchronized tongue motion directly from text. This is achieved by adapting a 3D model of the tongue surface to an articulatory dataset and training a statistical parametric speech synthesis system directly on the tongue model par...
[ { "created": "Fri, 30 Dec 2016 00:05:03 GMT", "version": "v1" }, { "created": "Wed, 20 Sep 2017 15:35:43 GMT", "version": "v2" }, { "created": "Tue, 12 Dec 2017 15:28:14 GMT", "version": "v3" }, { "created": "Fri, 13 Apr 2018 14:36:28 GMT", "version": "v4" } ]
2018-04-17
[ [ "Steiner", "Ingmar", "" ], [ "Maguer", "Sébastien Le", "" ], [ "Hewer", "Alexander", "" ] ]
We present an end-to-end text-to-speech (TTS) synthesis system that generates audio and synchronized tongue motion directly from text. This is achieved by adapting a 3D model of the tongue surface to an articulatory dataset and training a statistical parametric speech synthesis system directly on the tongue model param...
1811.03217
Weichen Dai
Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, and Sebastian Scherer
RGB-D SLAM in Dynamic Environments Using Point Correlations
18 pages
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects in...
[ { "created": "Thu, 8 Nov 2018 01:52:00 GMT", "version": "v1" }, { "created": "Mon, 20 Jul 2020 08:55:15 GMT", "version": "v2" } ]
2020-07-21
[ [ "Dai", "Weichen", "" ], [ "Zhang", "Yu", "" ], [ "Li", "Ping", "" ], [ "Fang", "Zheng", "" ], [ "Scherer", "Sebastian", "" ] ]
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into...
2105.08812
Mohammed Ibrahim
Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahatani
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource
24 pages, 7 figures, 7 Tables, Journal
null
10.2196/preprints.26160
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Background: Clear language makes communication easier between any two parties. A layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical terminology which can lead to poor unde...
[ { "created": "Tue, 18 May 2021 20:16:45 GMT", "version": "v1" } ]
2021-05-20
[ [ "Ibrahim", "Mohammed", "" ], [ "Gauch", "Susan", "" ], [ "Salman", "Omar", "" ], [ "Alqahatani", "Mohammed", "" ] ]
Background: Clear language makes communication easier between any two parties. A layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical terminology which can lead to poor unders...
1103.2431
Stefano Marano
Stefano Marano, Vincenzo Matta, Ting He, Lang Tong
The Embedding Capacity of Information Flows Under Renewal Traffic
Sumbitted to IEEE Trans. on Information Theory on March 10, 2011
null
10.1109/TIT.2012.2227672
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given two independent point processes and a certain rule for matching points between them, what is the fraction of matched points over infinitely long streams? In many application contexts, e.g., secure networking, a meaningful matching rule is that of a maximum causal delay, and the problem is related to embedding a...
[ { "created": "Sat, 12 Mar 2011 09:38:30 GMT", "version": "v1" }, { "created": "Tue, 15 Mar 2011 17:18:16 GMT", "version": "v2" } ]
2016-11-17
[ [ "Marano", "Stefano", "" ], [ "Matta", "Vincenzo", "" ], [ "He", "Ting", "" ], [ "Tong", "Lang", "" ] ]
Given two independent point processes and a certain rule for matching points between them, what is the fraction of matched points over infinitely long streams? In many application contexts, e.g., secure networking, a meaningful matching rule is that of a maximum causal delay, and the problem is related to embedding a f...
2101.04051
Tun Zhu
Tun Zhu, Daoxin Zhang, Yao Hu, Tianran Wang, Xiaolong Jiang, Jianke Zhu, Jiawei Li
Horizontal-to-Vertical Video Conversion
Accept by IEEE Transactions on Multimedia
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we hereby set forth the exploration of automated horizontal-to-vertical (abbreviated as H2V) video conversion with our proposed H2V framework, ...
[ { "created": "Mon, 11 Jan 2021 17:37:31 GMT", "version": "v1" }, { "created": "Wed, 23 Jun 2021 15:37:45 GMT", "version": "v2" } ]
2021-06-24
[ [ "Zhu", "Tun", "" ], [ "Zhang", "Daoxin", "" ], [ "Hu", "Yao", "" ], [ "Wang", "Tianran", "" ], [ "Jiang", "Xiaolong", "" ], [ "Zhu", "Jianke", "" ], [ "Li", "Jiawei", "" ] ]
Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we hereby set forth the exploration of automated horizontal-to-vertical (abbreviated as H2V) video conversion with our proposed H2V framework, ac...
2103.06254
Valerie Chen
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Presented at ICML HILL Workshop 2021
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Despite increasing interest in the field of Interpretable Machine Learning (IML), a significant gap persists between the technical objectives targeted by researchers' methods and the high-level goals of consumers' use cases. In this work, we synthesize foundational work on IML methods and evaluation into an actionabl...
[ { "created": "Wed, 10 Mar 2021 18:38:33 GMT", "version": "v1" }, { "created": "Wed, 28 Jul 2021 23:42:45 GMT", "version": "v2" } ]
2021-07-30
[ [ "Chen", "Valerie", "" ], [ "Li", "Jeffrey", "" ], [ "Kim", "Joon Sik", "" ], [ "Plumb", "Gregory", "" ], [ "Talwalkar", "Ameet", "" ] ]
Despite increasing interest in the field of Interpretable Machine Learning (IML), a significant gap persists between the technical objectives targeted by researchers' methods and the high-level goals of consumers' use cases. In this work, we synthesize foundational work on IML methods and evaluation into an actionable ...
2308.00868
Hoda Heidari
Alex John London, Hoda Heidari
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems
null
null
null
null
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum's capability approach, we present a framework formalizing a network of ethical concepts and entitlements neces...
[ { "created": "Tue, 1 Aug 2023 22:38:14 GMT", "version": "v1" }, { "created": "Thu, 7 Sep 2023 01:08:34 GMT", "version": "v2" } ]
2023-09-08
[ [ "London", "Alex John", "" ], [ "Heidari", "Hoda", "" ] ]
The prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum's capability approach, we present a framework formalizing a network of ethical concepts and entitlements necessa...
2307.12689
Singh Akansha
Akansha A
Addressing the Impact of Localized Training Data in Graph Neural Networks
6 pages, 4 figures
IEEE 7th international conference CERA2023
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Graph Neural Networks (GNNs) have achieved notable success in learning from graph-structured data, owing to their ability to capture intricate dependencies and relationships between nodes. They excel in various applications, including semi-supervised node classification, link prediction, and graph generation. However...
[ { "created": "Mon, 24 Jul 2023 11:04:22 GMT", "version": "v1" }, { "created": "Tue, 28 Nov 2023 10:59:01 GMT", "version": "v2" } ]
2023-11-29
[ [ "A", "Akansha", "" ] ]
Graph Neural Networks (GNNs) have achieved notable success in learning from graph-structured data, owing to their ability to capture intricate dependencies and relationships between nodes. They excel in various applications, including semi-supervised node classification, link prediction, and graph generation. However, ...
2210.03856
Robin Hankin Dr
Robin K. S. Hankin
Disordered vectors in R: introducing the disordR package
8 pages
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objects in the {\tt stl map} class of {\tt C++} associate a value to each of a set of keys. Accessing values or keys of such an object is problematic in the R programming language because the value-key pairs are not stored in a well-defined order. This document motivates and discusses the concept of "disordered vecto...
[ { "created": "Sat, 8 Oct 2022 00:14:02 GMT", "version": "v1" }, { "created": "Mon, 17 Oct 2022 00:21:31 GMT", "version": "v2" } ]
2022-10-18
[ [ "Hankin", "Robin K. S.", "" ] ]
Objects in the {\tt stl map} class of {\tt C++} associate a value to each of a set of keys. Accessing values or keys of such an object is problematic in the R programming language because the value-key pairs are not stored in a well-defined order. This document motivates and discusses the concept of "disordered vector"...
2307.09944
Georgios Leontidis
Miles Everett, Mingjun Zhong and Georgios Leontidis
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
13 pages, 5 figures, 5 tables
TMLR December 2023 (https://openreview.net/pdf?id=Id10mlBjcx)
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Networks (CNNs). However, their inherent efficiency is often overshadowed by their slow, iterative routing mechanisms which establish connectio...
[ { "created": "Wed, 19 Jul 2023 12:39:40 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2024 09:54:12 GMT", "version": "v2" } ]
2024-03-11
[ [ "Everett", "Miles", "" ], [ "Zhong", "Mingjun", "" ], [ "Leontidis", "Georgios", "" ] ]
Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Networks (CNNs). However, their inherent efficiency is often overshadowed by their slow, iterative routing mechanisms which establish connections...
2310.14610
Jaechan Lee
Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
EMNLP 2023 Findings
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The translation of ambiguous text presents a challenge for translation systems, as it requires using the surrounding context to disambiguate the intended meaning as much as possible. While prior work has studied ambiguities that result from different grammatical features of the source and target language, we study se...
[ { "created": "Mon, 23 Oct 2023 06:38:49 GMT", "version": "v1" } ]
2023-10-24
[ [ "Lee", "Jaechan", "" ], [ "Liu", "Alisa", "" ], [ "Ahia", "Orevaoghene", "" ], [ "Gonen", "Hila", "" ], [ "Smith", "Noah A.", "" ] ]
The translation of ambiguous text presents a challenge for translation systems, as it requires using the surrounding context to disambiguate the intended meaning as much as possible. While prior work has studied ambiguities that result from different grammatical features of the source and target language, we study sema...
1511.03339
Liang-Chieh Chen
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
Attention to Scale: Scale-aware Semantic Image Segmentation
14 pages. Accepted to appear at CVPR 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed multiple resized input images to a shared deep network and then merge the resultin...
[ { "created": "Tue, 10 Nov 2015 23:53:57 GMT", "version": "v1" }, { "created": "Thu, 2 Jun 2016 02:02:21 GMT", "version": "v2" } ]
2016-06-03
[ [ "Chen", "Liang-Chieh", "" ], [ "Yang", "Yi", "" ], [ "Wang", "Jiang", "" ], [ "Xu", "Wei", "" ], [ "Yuille", "Alan L.", "" ] ]
Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed multiple resized input images to a shared deep network and then merge the resulting ...
2407.15823
Can Rong
Can Rong, Jingtao Ding, Yan Liu, Yong Li
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation
16 pages, 9 figures
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
The commuting origin-destination~(OD) matrix is a critical input for urban planning and transportation, providing crucial information about the population residing in one region and working in another within an interested area. Despite its importance, obtaining and updating the matrix is challenging due to high costs...
[ { "created": "Mon, 22 Jul 2024 17:37:04 GMT", "version": "v1" }, { "created": "Tue, 23 Jul 2024 17:02:56 GMT", "version": "v2" }, { "created": "Wed, 24 Jul 2024 00:59:05 GMT", "version": "v3" } ]
2024-07-25
[ [ "Rong", "Can", "" ], [ "Ding", "Jingtao", "" ], [ "Liu", "Yan", "" ], [ "Li", "Yong", "" ] ]
The commuting origin-destination~(OD) matrix is a critical input for urban planning and transportation, providing crucial information about the population residing in one region and working in another within an interested area. Despite its importance, obtaining and updating the matrix is challenging due to high costs a...
2405.10094
Tim Lyon
Piotr Ostropolski-Nalewaja and Tim S. Lyon
Decidability of Quasi-Dense Modal Logics
preprint; accepted to LICS 2024
null
null
null
cs.LO math.LO
http://creativecommons.org/licenses/by/4.0/
The decidability of axiomatic extensions of the modal logic K with modal reduction principles, i.e. axioms of the form $\Diamond^{k} p \rightarrow \Diamond^{n} p$, has remained a long-standing open problem. In this paper, we make significant progress toward solving this problem and show that decidability holds for a ...
[ { "created": "Thu, 16 May 2024 13:47:25 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 16:30:13 GMT", "version": "v2" } ]
2024-06-06
[ [ "Ostropolski-Nalewaja", "Piotr", "" ], [ "Lyon", "Tim S.", "" ] ]
The decidability of axiomatic extensions of the modal logic K with modal reduction principles, i.e. axioms of the form $\Diamond^{k} p \rightarrow \Diamond^{n} p$, has remained a long-standing open problem. In this paper, we make significant progress toward solving this problem and show that decidability holds for a la...
2004.04787
Ha Q. Ngo
Ha Q. Ngo, Christoph Henke, Frank Hees
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
Submitted 23 March 2020
2020 ACM/IEEE International Conference on Human-Robot Interaction. Workshop on The Forgotten in HRI: Incidental Encounters with Robots in Public Spaces
null
null
cs.AI cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper aims to explore the problem of trajectory prediction in heterogeneous pedestrian zones, where social dynamics representation is a big challenge. Proposed is an end-to-end learning framework for prediction accuracy improvement based on an attention mechanism to learn social interaction from multi-factor inp...
[ { "created": "Thu, 9 Apr 2020 19:56:45 GMT", "version": "v1" }, { "created": "Mon, 4 Jan 2021 22:43:17 GMT", "version": "v2" } ]
2021-01-06
[ [ "Ngo", "Ha Q.", "" ], [ "Henke", "Christoph", "" ], [ "Hees", "Frank", "" ] ]
This paper aims to explore the problem of trajectory prediction in heterogeneous pedestrian zones, where social dynamics representation is a big challenge. Proposed is an end-to-end learning framework for prediction accuracy improvement based on an attention mechanism to learn social interaction from multi-factor input...
1506.00277
Mircea Andrecut Dr
M. Andrecut
A Matrix Public Key Cryptosystem
18 pages, C code included
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We discuss a matrix public key cryptosystem and its numerical implementation.
[ { "created": "Sun, 31 May 2015 19:35:08 GMT", "version": "v1" } ]
2015-06-02
[ [ "Andrecut", "M.", "" ] ]
We discuss a matrix public key cryptosystem and its numerical implementation.
1004.2626
Toby Walsh
Christian Bessiere and George Katsirelos and Nina Narodytska and Claude-Guy Quimper and Toby Walsh
Propagating Conjunctions of AllDifferent Constraints
AAAI 2010, Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study propagation algorithms for the conjunction of two AllDifferent constraints. Solutions of an AllDifferent constraint can be seen as perfect matchings on the variable/value bipartite graph. Therefore, we investigate the problem of finding simultaneous bipartite matchings. We present an extension of the famous ...
[ { "created": "Thu, 15 Apr 2010 13:37:49 GMT", "version": "v1" } ]
2010-04-16
[ [ "Bessiere", "Christian", "" ], [ "Katsirelos", "George", "" ], [ "Narodytska", "Nina", "" ], [ "Quimper", "Claude-Guy", "" ], [ "Walsh", "Toby", "" ] ]
We study propagation algorithms for the conjunction of two AllDifferent constraints. Solutions of an AllDifferent constraint can be seen as perfect matchings on the variable/value bipartite graph. Therefore, we investigate the problem of finding simultaneous bipartite matchings. We present an extension of the famous Ha...
2106.00133
Maayan Shvo
Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan Jepson, Sheila A. McIlraith
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human beings, even small children, quickly become adept at figuring out how to use applications on their mobile devices. Learning to use a new app is often achieved via trial-and-error, accelerated by transfer of knowledge from past experiences with like apps. The prospect of building a smarter smartphone - one that ...
[ { "created": "Mon, 31 May 2021 23:02:38 GMT", "version": "v1" }, { "created": "Sun, 6 Jun 2021 17:56:58 GMT", "version": "v2" } ]
2021-06-08
[ [ "Shvo", "Maayan", "" ], [ "Hu", "Zhiming", "" ], [ "Icarte", "Rodrigo Toro", "" ], [ "Mohomed", "Iqbal", "" ], [ "Jepson", "Allan", "" ], [ "McIlraith", "Sheila A.", "" ] ]
Human beings, even small children, quickly become adept at figuring out how to use applications on their mobile devices. Learning to use a new app is often achieved via trial-and-error, accelerated by transfer of knowledge from past experiences with like apps. The prospect of building a smarter smartphone - one that ca...
2405.11408
Boyang Yan
Boyang Yan
Workload Prediction in P4 Programmable Switches
15 pages
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid expansion of cloud services and their unpredictable workload demands present significant challenges in resource management. Traditional resource management approaches, primarily based on static rules and thresholds, often fail to ensure cost-effectiveness and optimal resource utilization. This research intr...
[ { "created": "Sat, 18 May 2024 22:54:39 GMT", "version": "v1" }, { "created": "Mon, 29 Jul 2024 14:00:44 GMT", "version": "v2" } ]
2024-07-30
[ [ "Yan", "Boyang", "" ] ]
The rapid expansion of cloud services and their unpredictable workload demands present significant challenges in resource management. Traditional resource management approaches, primarily based on static rules and thresholds, often fail to ensure cost-effectiveness and optimal resource utilization. This research introd...
2306.16115
Jordan Smith
Jordan Smith, Tom Naunton Morgan, Paul Williams, Qaiser Malik, Simon Rasalingham
Real-World Performance of Autonomously Reporting Normal Chest Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway
7 pages, 5 figures, 2 tables. Submitted to Clinical Radiology
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
AIM To analyse the performance of a deep-learning (DL) algorithm currently deployed as diagnostic decision support software in two NHS Trusts used to identify normal chest x-rays in active clinical pathways. MATERIALS AND METHODS A DL algorithm has been deployed in Somerset NHS Foundation Trust (SFT) since December...
[ { "created": "Wed, 28 Jun 2023 11:34:42 GMT", "version": "v1" } ]
2023-06-29
[ [ "Smith", "Jordan", "" ], [ "Morgan", "Tom Naunton", "" ], [ "Williams", "Paul", "" ], [ "Malik", "Qaiser", "" ], [ "Rasalingham", "Simon", "" ] ]
AIM To analyse the performance of a deep-learning (DL) algorithm currently deployed as diagnostic decision support software in two NHS Trusts used to identify normal chest x-rays in active clinical pathways. MATERIALS AND METHODS A DL algorithm has been deployed in Somerset NHS Foundation Trust (SFT) since December 202...
1905.13447
Shafiq Ul Rehman
Parminder Singh, Shafiq Ul Rehman, Selvakumar Manickam
Comparative Analysis of State-of-the-Art EDoS Mitigation Techniques in Cloud Computing Environment
Anomaly Detection Techniques, Cloud Computing, DDoS Attack, EDoS Attack, Mitigation Techniques, Security Threats
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new variant of the DDoS attack, called Economic Denial of Sustainability attack has emerged. Since the cloud service is based on the pay-per-use model, the EDoS attack endeavors to scale up the resource usage over time to the point the purveyor of the server is financially incapable of sustaining the service due to...
[ { "created": "Fri, 31 May 2019 07:17:53 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2019 04:08:15 GMT", "version": "v2" } ]
2019-06-12
[ [ "Singh", "Parminder", "" ], [ "Rehman", "Shafiq Ul", "" ], [ "Manickam", "Selvakumar", "" ] ]
A new variant of the DDoS attack, called Economic Denial of Sustainability attack has emerged. Since the cloud service is based on the pay-per-use model, the EDoS attack endeavors to scale up the resource usage over time to the point the purveyor of the server is financially incapable of sustaining the service due to t...
2105.12527
Jorge Mart\'in-P\'erez
Jorge Mart\'in-P\'erez, Koteswararao Kondepu, Danny De Vleeschauwer, Venkatarami Reddy, Carlos Guimar\~aes, Andrea Sgambelluri, Luca Valcarenghi, Chrysa Papagianni, Carlos J. Bernardos
Dimensioning of V2X Services in 5G Networks through Forecast-based Scaling
10 pages, 7 figures, pre-print, arXiv:1406.6768
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as, remote driving, cooperative awareness, and hazard warning) will face an ever changing and dynamic environment. Traffic flows on the roads is a critical condition for these servi...
[ { "created": "Wed, 26 May 2021 13:04:05 GMT", "version": "v1" } ]
2021-05-27
[ [ "Martín-Pérez", "Jorge", "" ], [ "Kondepu", "Koteswararao", "" ], [ "De Vleeschauwer", "Danny", "" ], [ "Reddy", "Venkatarami", "" ], [ "Guimarães", "Carlos", "" ], [ "Sgambelluri", "Andrea", "" ], [ "Valcarenghi",...
With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as, remote driving, cooperative awareness, and hazard warning) will face an ever changing and dynamic environment. Traffic flows on the roads is a critical condition for these service...
1307.3811
Weifeng Liu
Weifeng Liu, Dacheng Tao, Jun Cheng, and Yuanyan Tang
Multiview Hessian Discriminative Sparse Coding for Image Annotation
35 pages
Computer vision and image understanding,118(2014) 50-60
null
null
cs.MM cs.CV cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal restoration tasks such as image denoising and image inpainting. In recent years, many discriminative sparse coding algorithms have been dev...
[ { "created": "Mon, 15 Jul 2013 03:14:05 GMT", "version": "v1" } ]
2013-12-24
[ [ "Liu", "Weifeng", "" ], [ "Tao", "Dacheng", "" ], [ "Cheng", "Jun", "" ], [ "Tang", "Yuanyan", "" ] ]
Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal restoration tasks such as image denoising and image inpainting. In recent years, many discriminative sparse coding algorithms have been devel...
1301.5596
Ted Hurley
Barry Hurley and Ted Hurley
Systems of MDS codes from units and idempotents
null
Discrete Math., Vol 335, 81-91, 2014
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algebraic systems are constructed from which series of maximum distance separable (mds) codes are derived. The methods use unit and idempotent schemes.
[ { "created": "Wed, 23 Jan 2013 18:38:16 GMT", "version": "v1" } ]
2020-04-14
[ [ "Hurley", "Barry", "" ], [ "Hurley", "Ted", "" ] ]
Algebraic systems are constructed from which series of maximum distance separable (mds) codes are derived. The methods use unit and idempotent schemes.
1706.10098
Stefan Eilemann
Stefan Eilemann, Marwan Abdellah, Nicolas Antille, Ahmet Bilgili, Grigory Chevtchenko, Raphael Dumusc, Cyrille Favreau, Juan Hernando, Daniel Nachbaur, Pawel Podhajski, Jafet Villafranca, Felix Sch\"urmann
From Big Data to Big Displays: High-Performance Visualization at Blue Brain
ISC 2017 Visualization at Scale workshop
null
null
null
cs.GR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innovative visualization solutions through increased funding and strategic partnerships with other research institutions. We present the key e...
[ { "created": "Fri, 30 Jun 2017 10:08:11 GMT", "version": "v1" } ]
2017-07-03
[ [ "Eilemann", "Stefan", "" ], [ "Abdellah", "Marwan", "" ], [ "Antille", "Nicolas", "" ], [ "Bilgili", "Ahmet", "" ], [ "Chevtchenko", "Grigory", "" ], [ "Dumusc", "Raphael", "" ], [ "Favreau", "Cyrille", "" ...
Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innovative visualization solutions through increased funding and strategic partnerships with other research institutions. We present the key eleme...
2408.00181
Shreyank N Gowda
Shreyank N Gowda, David A. Clifton
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Accepted to ECCV 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that feature low contrast, faint boundaries, intricate morphologies, and sma...
[ { "created": "Wed, 31 Jul 2024 22:24:05 GMT", "version": "v1" } ]
2024-08-02
[ [ "Gowda", "Shreyank N", "" ], [ "Clifton", "David A.", "" ] ]
The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that feature low contrast, faint boundaries, intricate morphologies, and small...
2311.04895
Toghrul Karimov
Val\'erie Berth\'e, Toghrul Karimov, Jo\"el Ouaknine, Mihir Vahanwala, James Worrell
The Monadic Theory of Toric Words
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
For which unary predicates $P_1, \ldots, P_m$ is the MSO theory of the structure $\langle \mathbb{N}; <, P_1, \ldots, P_m \rangle$ decidable? We survey the state of the art, leading us to investigate combinatorial properties of almost-periodic, morphic, and toric words. In doing so, we show that if each $P_i$ can be ...
[ { "created": "Wed, 8 Nov 2023 18:55:33 GMT", "version": "v1" }, { "created": "Fri, 15 Dec 2023 09:12:53 GMT", "version": "v2" } ]
2023-12-18
[ [ "Berthé", "Valérie", "" ], [ "Karimov", "Toghrul", "" ], [ "Ouaknine", "Joël", "" ], [ "Vahanwala", "Mihir", "" ], [ "Worrell", "James", "" ] ]
For which unary predicates $P_1, \ldots, P_m$ is the MSO theory of the structure $\langle \mathbb{N}; <, P_1, \ldots, P_m \rangle$ decidable? We survey the state of the art, leading us to investigate combinatorial properties of almost-periodic, morphic, and toric words. In doing so, we show that if each $P_i$ can be ge...
2402.18045
Eunsu Kim
Sheikh Shafayat, Eunsu Kim, Juhyun Oh, Alice Oh
Multi-FAct: Assessing Multilingual LLMs' Multi-Regional Knowledge using FActScore
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) are prone to factuality hallucination, generating text that contradicts established knowledge. While extensive research has addressed this in English, little is known about multilingual LLMs. This paper systematically evaluates multilingual LLMs' factual accuracy across languages and geog...
[ { "created": "Wed, 28 Feb 2024 04:43:46 GMT", "version": "v1" }, { "created": "Fri, 1 Mar 2024 12:35:55 GMT", "version": "v2" } ]
2024-03-04
[ [ "Shafayat", "Sheikh", "" ], [ "Kim", "Eunsu", "" ], [ "Oh", "Juhyun", "" ], [ "Oh", "Alice", "" ] ]
Large Language Models (LLMs) are prone to factuality hallucination, generating text that contradicts established knowledge. While extensive research has addressed this in English, little is known about multilingual LLMs. This paper systematically evaluates multilingual LLMs' factual accuracy across languages and geogra...
2003.01595
Harrison Rosenberg
Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu
Analyzing Accuracy Loss in Randomized Smoothing Defenses
19 pages, 6 figures, 2 tables
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in machine learning (ML) algorithms, especially deep neural networks (DNNs), have demonstrated remarkable success (sometimes exceeding human-level performance) on several tasks, including face and speech recognition. However, ML algorithms are vulnerable to \emph{adversarial attacks}, such test-time, ...
[ { "created": "Tue, 3 Mar 2020 15:27:53 GMT", "version": "v1" } ]
2020-03-04
[ [ "Gao", "Yue", "" ], [ "Rosenberg", "Harrison", "" ], [ "Fawaz", "Kassem", "" ], [ "Jha", "Somesh", "" ], [ "Hsu", "Justin", "" ] ]
Recent advances in machine learning (ML) algorithms, especially deep neural networks (DNNs), have demonstrated remarkable success (sometimes exceeding human-level performance) on several tasks, including face and speech recognition. However, ML algorithms are vulnerable to \emph{adversarial attacks}, such test-time, tr...
2406.06514
Yahya Sattar
Kimia Kazemian, Yahya Sattar, Sarah Dean
Random Features Approximation for Control-Affine Systems
25 pages, 3 figures
null
null
null
cs.LG cs.SY eess.SY math.OC stat.ML
http://creativecommons.org/licenses/by/4.0/
Modern data-driven control applications call for flexible nonlinear models that are amenable to principled controller synthesis and realtime feedback. Many nonlinear dynamical systems of interest are control affine. We propose two novel classes of nonlinear feature representations which capture control affine structu...
[ { "created": "Mon, 10 Jun 2024 17:54:57 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 02:32:16 GMT", "version": "v2" } ]
2024-06-12
[ [ "Kazemian", "Kimia", "" ], [ "Sattar", "Yahya", "" ], [ "Dean", "Sarah", "" ] ]
Modern data-driven control applications call for flexible nonlinear models that are amenable to principled controller synthesis and realtime feedback. Many nonlinear dynamical systems of interest are control affine. We propose two novel classes of nonlinear feature representations which capture control affine structure...
1112.2071
Ferihane Kboubi
Anja Habacha Chabi, Ferihane Kboubi, Mohamed Ben Ahmed
Thematic Analysis and Visualization of Textual Corpus
16 pages,9 figures
International Journal of Computer Science & Engineering Survey (IJCSES), November 2011, Volume 2 Number 4, ISSN : 0976-2760 (Online) 0976-3252 (Print) go
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variati...
[ { "created": "Fri, 9 Dec 2011 11:04:32 GMT", "version": "v1" } ]
2011-12-12
[ [ "Chabi", "Anja Habacha", "" ], [ "Kboubi", "Ferihane", "" ], [ "Ahmed", "Mohamed Ben", "" ] ]
The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variation...
2403.01226
Junwen Xiong
Junwen Xiong, Peng Zhang, Tao You, Chuanyue Li, Wei Huang, Yufei Zha
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
15 pages, CVPR24
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Audio-visual saliency prediction can draw support from diverse modality complements, but further performance enhancement is still challenged by customized architectures as well as task-specific loss functions. In recent studies, denoising diffusion models have shown more promising in unifying task frameworks owing to...
[ { "created": "Sat, 2 Mar 2024 14:52:58 GMT", "version": "v1" } ]
2024-03-05
[ [ "Xiong", "Junwen", "" ], [ "Zhang", "Peng", "" ], [ "You", "Tao", "" ], [ "Li", "Chuanyue", "" ], [ "Huang", "Wei", "" ], [ "Zha", "Yufei", "" ] ]
Audio-visual saliency prediction can draw support from diverse modality complements, but further performance enhancement is still challenged by customized architectures as well as task-specific loss functions. In recent studies, denoising diffusion models have shown more promising in unifying task frameworks owing to t...
2201.06993
Alessio Carpegna
Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks
6 pages, 3 figures, 4 tables
null
10.1109/ISVLSI54635.2022.00016
null
cs.NE cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Spiking Neural Networks (SNN) are an emerging type of biologically plausible and efficient Artificial Neural Network (ANN). This work presents the development of a hardware accelerator for a SNN for high-performance inference, targeting a Xilinx Artix-7 Field Programmable Gate Array (FPGA). The model used inside the ...
[ { "created": "Tue, 18 Jan 2022 13:59:22 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2022 13:36:22 GMT", "version": "v2" }, { "created": "Thu, 26 May 2022 14:38:38 GMT", "version": "v3" } ]
2022-12-20
[ [ "Carpegna", "Alessio", "" ], [ "Savino", "Alessandro", "" ], [ "Di Carlo", "Stefano", "" ] ]
Spiking Neural Networks (SNN) are an emerging type of biologically plausible and efficient Artificial Neural Network (ANN). This work presents the development of a hardware accelerator for a SNN for high-performance inference, targeting a Xilinx Artix-7 Field Programmable Gate Array (FPGA). The model used inside the ne...
2211.15790
Scott Workman
Scott Workman, Armin Hadzic, M. Usman Rafique
Handling Image and Label Resolution Mismatch in Remote Sensing
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution mismatch between overhead imagery and ground-truth label sources, due to differences in ground sample distance. To illustrate this problem,...
[ { "created": "Mon, 28 Nov 2022 21:56:07 GMT", "version": "v1" } ]
2022-11-30
[ [ "Workman", "Scott", "" ], [ "Hadzic", "Armin", "" ], [ "Rafique", "M. Usman", "" ] ]
Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution mismatch between overhead imagery and ground-truth label sources, due to differences in ground sample distance. To illustrate this problem, w...
1803.10743
Taco Cohen
Taco S. Cohen and Mario Geiger and Maurice Weiler
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Group equivariant and steerable convolutional neural networks (regular and steerable G-CNNs) have recently emerged as a very effective model class for learning from signal data such as 2D and 3D images, video, and other data where symmetries are present. In geometrical terms, regular G-CNNs represent data in terms of...
[ { "created": "Wed, 28 Mar 2018 17:30:26 GMT", "version": "v1" }, { "created": "Fri, 30 Mar 2018 09:27:16 GMT", "version": "v2" } ]
2018-04-02
[ [ "Cohen", "Taco S.", "" ], [ "Geiger", "Mario", "" ], [ "Weiler", "Maurice", "" ] ]
Group equivariant and steerable convolutional neural networks (regular and steerable G-CNNs) have recently emerged as a very effective model class for learning from signal data such as 2D and 3D images, video, and other data where symmetries are present. In geometrical terms, regular G-CNNs represent data in terms of s...
2312.14196
Ellen Considine
Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec
Optimizing Heat Alert Issuance with Reinforcement Learning
Main text has 21 pages with 3 tables and 7 figures
null
null
null
cs.LG stat.AP
http://creativecommons.org/licenses/by-nc-sa/4.0/
A key strategy in societal adaptation to climate change is the use of alert systems to reduce the adverse health impacts of extreme heat events by prompting preventative action. In this work, we investigate reinforcement learning (RL) as a tool to optimize the effectiveness of such systems. Our contributions are thre...
[ { "created": "Thu, 21 Dec 2023 00:50:21 GMT", "version": "v1" }, { "created": "Sun, 10 Mar 2024 20:37:47 GMT", "version": "v2" } ]
2024-03-12
[ [ "Considine", "Ellen M.", "" ], [ "Nethery", "Rachel C.", "" ], [ "Wellenius", "Gregory A.", "" ], [ "Dominici", "Francesca", "" ], [ "Tec", "Mauricio", "" ] ]
A key strategy in societal adaptation to climate change is the use of alert systems to reduce the adverse health impacts of extreme heat events by prompting preventative action. In this work, we investigate reinforcement learning (RL) as a tool to optimize the effectiveness of such systems. Our contributions are threef...
1902.04363
Antoine Durand
Antoine Durand, Elyes Ben-Hamida, David Leporini, G\'erard Memmi
Asymptotic Performance Analysis of Blockchain Protocols
16 pages, 2 figures
null
null
null
cs.CR cs.DC
http://creativecommons.org/licenses/by/4.0/
In the light of the recent fame of Blockchain technologies, numerous proposals and projects aiming at better practical viability have emerged. However, formally assessing their particularities and benefits has proven to be a difficult task. The aim of this work is to compare the fundamental differences of such protoc...
[ { "created": "Tue, 12 Feb 2019 12:51:53 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2019 21:18:05 GMT", "version": "v2" } ]
2019-06-13
[ [ "Durand", "Antoine", "" ], [ "Ben-Hamida", "Elyes", "" ], [ "Leporini", "David", "" ], [ "Memmi", "Gérard", "" ] ]
In the light of the recent fame of Blockchain technologies, numerous proposals and projects aiming at better practical viability have emerged. However, formally assessing their particularities and benefits has proven to be a difficult task. The aim of this work is to compare the fundamental differences of such protocol...
2208.14001
Hao Wang
Hao Wang, Yangguang Li, Zhen Huang, Yong Dou
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
Accepted by COLING 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
With the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the most related fact evidences from millions of open-domain Wikipedia documents and then verify the credibility of corresponding claims. Althou...
[ { "created": "Tue, 30 Aug 2022 05:57:34 GMT", "version": "v1" } ]
2022-08-31
[ [ "Wang", "Hao", "" ], [ "Li", "Yangguang", "" ], [ "Huang", "Zhen", "" ], [ "Dou", "Yong", "" ] ]
With the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the most related fact evidences from millions of open-domain Wikipedia documents and then verify the credibility of corresponding claims. Although...
2111.05333
Hamza Ali Imran
Hamza Ali Imran, Saad Wazir, Usman Iftikhar, Usama Latif
Classifying Human Activities with Inertial Sensors: A Machine Learning Approach
null
null
null
null
cs.HC cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
Human Activity Recognition (HAR) is an ongoing research topic. It has applications in medical support, sports, fitness, social networking, human-computer interfaces, senior care, entertainment, surveillance, and the list goes on. Traditionally, computer vision methods were employed for HAR, which has numerous problem...
[ { "created": "Tue, 9 Nov 2021 08:17:33 GMT", "version": "v1" } ]
2021-11-11
[ [ "Imran", "Hamza Ali", "" ], [ "Wazir", "Saad", "" ], [ "Iftikhar", "Usman", "" ], [ "Latif", "Usama", "" ] ]
Human Activity Recognition (HAR) is an ongoing research topic. It has applications in medical support, sports, fitness, social networking, human-computer interfaces, senior care, entertainment, surveillance, and the list goes on. Traditionally, computer vision methods were employed for HAR, which has numerous problems ...
2211.02091
Linyi Li
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
Fairness in Federated Learning via Core-Stability
NeurIPS 2022; code: https://openreview.net/attachment?id=lKULHf7oFDo&name=supplementary_material
null
null
null
cs.LG cs.GT
http://creativecommons.org/licenses/by/4.0/
Federated learning provides an effective paradigm to jointly optimize a model benefited from rich distributed data while protecting data privacy. Nonetheless, the heterogeneity nature of distributed data makes it challenging to define and ensure fairness among local agents. For instance, it is intuitively "unfair" fo...
[ { "created": "Thu, 3 Nov 2022 18:41:11 GMT", "version": "v1" } ]
2022-11-07
[ [ "Chaudhury", "Bhaskar Ray", "" ], [ "Li", "Linyi", "" ], [ "Kang", "Mintong", "" ], [ "Li", "Bo", "" ], [ "Mehta", "Ruta", "" ] ]
Federated learning provides an effective paradigm to jointly optimize a model benefited from rich distributed data while protecting data privacy. Nonetheless, the heterogeneity nature of distributed data makes it challenging to define and ensure fairness among local agents. For instance, it is intuitively "unfair" for ...
2404.13558
Haoyu Zheng
Haoyu Zheng, Wenqiao Zhang, Yaoke Wang, Hao Zhou, Jiang Liu, Juncheng Li, Zheqi Lv, Siliang Tang, Yueting Zhuang
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
10 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Revolutionary advancements in text-to-image models have unlocked new dimensions for sophisticated content creation, e.g., text-conditioned image editing, allowing us to edit the diverse images that convey highly complex visual concepts according to the textual guidance. Despite being promising, existing methods focus...
[ { "created": "Sun, 21 Apr 2024 07:13:56 GMT", "version": "v1" }, { "created": "Tue, 23 Apr 2024 07:17:03 GMT", "version": "v2" } ]
2024-04-24
[ [ "Zheng", "Haoyu", "" ], [ "Zhang", "Wenqiao", "" ], [ "Wang", "Yaoke", "" ], [ "Zhou", "Hao", "" ], [ "Liu", "Jiang", "" ], [ "Li", "Juncheng", "" ], [ "Lv", "Zheqi", "" ], [ "Tang", "Siliang", ...
Revolutionary advancements in text-to-image models have unlocked new dimensions for sophisticated content creation, e.g., text-conditioned image editing, allowing us to edit the diverse images that convey highly complex visual concepts according to the textual guidance. Despite being promising, existing methods focus o...
2403.19649
Hui Zhang
Hui Zhang, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song
GraspXL: Generating Grasping Motions for Diverse Objects at Scale
Camera ready for ECCV2024. Project Page: https://eth-ait.github.io/graspxl/
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human hands possess the dexterity to interact with diverse objects such as grasping specific parts of the objects and/or approaching them from desired directions. More importantly, humans can grasp objects of any shape without object-specific skills. Recent works synthesize grasping motions following single objective...
[ { "created": "Thu, 28 Mar 2024 17:57:27 GMT", "version": "v1" }, { "created": "Fri, 12 Jul 2024 17:48:07 GMT", "version": "v2" } ]
2024-07-15
[ [ "Zhang", "Hui", "" ], [ "Christen", "Sammy", "" ], [ "Fan", "Zicong", "" ], [ "Hilliges", "Otmar", "" ], [ "Song", "Jie", "" ] ]
Human hands possess the dexterity to interact with diverse objects such as grasping specific parts of the objects and/or approaching them from desired directions. More importantly, humans can grasp objects of any shape without object-specific skills. Recent works synthesize grasping motions following single objectives ...
2402.18558
Benjamin Evans
Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Felix Jahncke, Johannes Betz, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
12 pages, 18 figures. Sumbitted for publication
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path planning to novel learning-based algorithms. Consequently, the field i...
[ { "created": "Wed, 28 Feb 2024 18:42:46 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2024 13:58:48 GMT", "version": "v2" } ]
2024-04-26
[ [ "Evans", "Benjamin David", "" ], [ "Trumpp", "Raphael", "" ], [ "Caccamo", "Marco", "" ], [ "Jahncke", "Felix", "" ], [ "Betz", "Johannes", "" ], [ "Jordaan", "Hendrik Willem", "" ], [ "Engelbrecht", "Herman Ar...
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path planning to novel learning-based algorithms. Consequently, the field is ...
2206.11723
Alexander Bauer
Alexander Bauer, Shinichi Nakajima, Klaus-Robert M\"uller
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
We focus on a specific use case in anomaly detection where the distribution of normal samples is supported by a lower-dimensional manifold. Here, regularized autoencoders provide a popular approach by learning the identity mapping on the set of normal examples, while trying to prevent good reconstruction on points ou...
[ { "created": "Thu, 23 Jun 2022 14:16:30 GMT", "version": "v1" }, { "created": "Tue, 28 Jun 2022 10:56:48 GMT", "version": "v2" }, { "created": "Wed, 14 Jun 2023 23:33:53 GMT", "version": "v3" }, { "created": "Thu, 24 Aug 2023 11:35:01 GMT", "version": "v4" }, { "c...
2024-05-14
[ [ "Bauer", "Alexander", "" ], [ "Nakajima", "Shinichi", "" ], [ "Müller", "Klaus-Robert", "" ] ]
We focus on a specific use case in anomaly detection where the distribution of normal samples is supported by a lower-dimensional manifold. Here, regularized autoencoders provide a popular approach by learning the identity mapping on the set of normal examples, while trying to prevent good reconstruction on points outs...
2304.08134
Martin Knoche
Martin Knoche and Gerhard Rigoll
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investigates the effect of a combination of machine and human operators in the face verification task. First, we look closer at the edge cases for...
[ { "created": "Mon, 17 Apr 2023 10:29:26 GMT", "version": "v1" }, { "created": "Tue, 18 Apr 2023 08:55:37 GMT", "version": "v2" }, { "created": "Tue, 8 Aug 2023 12:57:36 GMT", "version": "v3" }, { "created": "Thu, 24 Aug 2023 08:31:31 GMT", "version": "v4" } ]
2023-08-25
[ [ "Knoche", "Martin", "" ], [ "Rigoll", "Gerhard", "" ] ]
Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investigates the effect of a combination of machine and human operators in the face verification task. First, we look closer at the edge cases for s...
2112.09323
Shinnosuke Takamichi
Shinnosuke Takamichi, Ludwig K\"urzinger, Takaaki Saeki, Sayaka Shiota, Shinji Watanabe
JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification
Submitted to ICASSP2022
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-sa/4.0/
In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. In this paper, we describe the construction of a corpus from YouTube videos a...
[ { "created": "Fri, 17 Dec 2021 05:09:44 GMT", "version": "v1" } ]
2021-12-20
[ [ "Takamichi", "Shinnosuke", "" ], [ "Kürzinger", "Ludwig", "" ], [ "Saeki", "Takaaki", "" ], [ "Shiota", "Sayaka", "" ], [ "Watanabe", "Shinji", "" ] ]
In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. In this paper, we describe the construction of a corpus from YouTube videos and...
2201.05972
Shuangjie Xu
Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation
Accepted by the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)
null
null
null
cs.CV cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point clouds of an object are surface-aggregated and thus hard to model the long-range dependency especially for large instances, and that objects are too close to separate each other. Recent literature addresses these problems by time-consuming gro...
[ { "created": "Sun, 16 Jan 2022 05:34:54 GMT", "version": "v1" } ]
2022-01-19
[ [ "Xu", "Shuangjie", "" ], [ "Wan", "Rui", "" ], [ "Ye", "Maosheng", "" ], [ "Zou", "Xiaoyi", "" ], [ "Cao", "Tongyi", "" ] ]
Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point clouds of an object are surface-aggregated and thus hard to model the long-range dependency especially for large instances, and that objects are too close to separate each other. Recent literature addresses these problems by time-consuming group...
2110.02204
Yi Zhou
Yi Zhou and Danushka Bollegala
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Accepted to PACLIC 35
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contextualised word embeddings generated from Neural Language Models (NLMs), such as BERT, represent a word with a vector that considers the semantics of the target word as well its context. On the other hand, static word embeddings such as GloVe represent words by relatively low-dimensional, memory- and compute-effi...
[ { "created": "Tue, 5 Oct 2021 17:50:48 GMT", "version": "v1" }, { "created": "Wed, 6 Oct 2021 10:30:37 GMT", "version": "v2" } ]
2021-10-07
[ [ "Zhou", "Yi", "" ], [ "Bollegala", "Danushka", "" ] ]
Contextualised word embeddings generated from Neural Language Models (NLMs), such as BERT, represent a word with a vector that considers the semantics of the target word as well its context. On the other hand, static word embeddings such as GloVe represent words by relatively low-dimensional, memory- and compute-effici...
1709.04093
Seyed Hamid Rezatofighi
S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid
Joint Learning of Set Cardinality and State Distribution
Accepted in AAAI 2018. arXiv admin note: text overlap with arXiv:1611.08998
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural language processing and other related problems. Despite their success, traditional architectures suffer from a serious limitation in that they a...
[ { "created": "Wed, 13 Sep 2017 00:33:50 GMT", "version": "v1" }, { "created": "Tue, 21 Nov 2017 02:29:33 GMT", "version": "v2" } ]
2017-11-23
[ [ "Rezatofighi", "S. Hamid", "" ], [ "Milan", "Anton", "" ], [ "Shi", "Qinfeng", "" ], [ "Dick", "Anthony", "" ], [ "Reid", "Ian", "" ] ]
We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural language processing and other related problems. Despite their success, traditional architectures suffer from a serious limitation in that they are...
2206.13933
Mikael Lassen
Benjamin Lundquist Thomsen, Jesper B. Christensen, Olga Rodenko, Iskander Usenov, Rasmus Birkholm Gr{\o}nnemose, Thomas Emil Andersen, and Mikael Lassen
Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning
14 pages, 5 figures
null
null
null
cs.LG physics.data-an physics.optics
http://creativecommons.org/publicdomain/zero/1.0/
The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard, Raman spectroscopy promises rapid label- and culture-free identification and antim...
[ { "created": "Mon, 27 Jun 2022 14:27:05 GMT", "version": "v1" } ]
2022-06-29
[ [ "Thomsen", "Benjamin Lundquist", "" ], [ "Christensen", "Jesper B.", "" ], [ "Rodenko", "Olga", "" ], [ "Usenov", "Iskander", "" ], [ "Grønnemose", "Rasmus Birkholm", "" ], [ "Andersen", "Thomas Emil", "" ], [ "Las...
The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard, Raman spectroscopy promises rapid label- and culture-free identification and antimic...
2102.12980
Ali Shafti
Ali Shafti and A. Aldo Faisal
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping
Manuscript accepted at IEEE EMBS Neural Engineering 2021 Conference
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living successfully. The success of these robot systems, however, relies on the ability to meaningfully decode human action intentions and carry the...
[ { "created": "Thu, 25 Feb 2021 16:32:04 GMT", "version": "v1" } ]
2021-02-26
[ [ "Shafti", "Ali", "" ], [ "Faisal", "A. Aldo", "" ] ]
Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living successfully. The success of these robot systems, however, relies on the ability to meaningfully decode human action intentions and carry them ...
2405.15739
Andres Algaba
Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers, Vincent Ginis
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias
28 pages, 11 figures
null
null
null
cs.DL cs.AI cs.LG cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Citation practices are crucial in shaping the structure of scientific knowledge, yet they are often influenced by contemporary norms and biases. The emergence of Large Language Models (LLMs) like GPT-4 introduces a new dynamic to these practices. Interestingly, the characteristics and potential biases of references r...
[ { "created": "Fri, 24 May 2024 17:34:32 GMT", "version": "v1" }, { "created": "Wed, 29 May 2024 12:50:49 GMT", "version": "v2" } ]
2024-05-30
[ [ "Algaba", "Andres", "" ], [ "Mazijn", "Carmen", "" ], [ "Holst", "Vincent", "" ], [ "Tori", "Floriano", "" ], [ "Wenmackers", "Sylvia", "" ], [ "Ginis", "Vincent", "" ] ]
Citation practices are crucial in shaping the structure of scientific knowledge, yet they are often influenced by contemporary norms and biases. The emergence of Large Language Models (LLMs) like GPT-4 introduces a new dynamic to these practices. Interestingly, the characteristics and potential biases of references rec...