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2003.05266
Adrian Brandemuehl
Leiv Andresen, Adrian Brandemuehl, Alex H\"onger, Benson Kuan, Niclas V\"odisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias B\"urki, Martin R. Oswald, Roland Siegwart and Abel Gawel
Accurate Mapping and Planning for Autonomous Racing
null
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 4743-4749
10.1109/IROS45743.2020.9341702
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the 2019 AMZ driverless team for the Formula Student Germany (FSG) 2019 driverless competition, where it won 1st place overall. The presented solution combines early fusion of camera and LiDAR...
[ { "created": "Wed, 11 Mar 2020 13:08:21 GMT", "version": "v1" }, { "created": "Thu, 12 Mar 2020 13:32:45 GMT", "version": "v2" }, { "created": "Sat, 1 Aug 2020 15:34:29 GMT", "version": "v3" }, { "created": "Thu, 17 Sep 2020 20:05:34 GMT", "version": "v4" } ]
2021-03-02
[ [ "Andresen", "Leiv", "" ], [ "Brandemuehl", "Adrian", "" ], [ "Hönger", "Alex", "" ], [ "Kuan", "Benson", "" ], [ "Vödisch", "Niclas", "" ], [ "Blum", "Hermann", "" ], [ "Reijgwart", "Victor", "" ], [ ...
This paper presents the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the 2019 AMZ driverless team for the Formula Student Germany (FSG) 2019 driverless competition, where it won 1st place overall. The presented solution combines early fusion of camera and LiDAR d...
2301.01913
Tom Marty
Tom Marty, Tristan Fran\c{c}ois, Pierre Tessier, Louis Gauthier, Louis-Martin Rousseau, Quentin Cappart
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
15 pages
Constraint Programming 29 (2023) 25:1--25:19
10.4230/LIPIcs.CP.2023.25
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constraint programming is known for being an efficient approach for solving combinatorial problems. Important design choices in a solver are the branching heuristics, which are designed to lead the search to the best solutions in a minimum amount of time. However, developing these heuristics is a time-consuming proce...
[ { "created": "Thu, 5 Jan 2023 05:13:48 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 22:15:08 GMT", "version": "v2" }, { "created": "Mon, 2 Oct 2023 16:59:40 GMT", "version": "v3" } ]
2024-04-17
[ [ "Marty", "Tom", "" ], [ "François", "Tristan", "" ], [ "Tessier", "Pierre", "" ], [ "Gauthier", "Louis", "" ], [ "Rousseau", "Louis-Martin", "" ], [ "Cappart", "Quentin", "" ] ]
Constraint programming is known for being an efficient approach for solving combinatorial problems. Important design choices in a solver are the branching heuristics, which are designed to lead the search to the best solutions in a minimum amount of time. However, developing these heuristics is a time-consuming process...
2212.04972
Jialiang Lin
Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, Xiaodong Shi
MOPRD: A multidisciplinary open peer review dataset
Please cite the version of Neural Computing and Applications
Neural Computing and Applications, Vol. 35, Issue 34, pp. 24191-24206 (2023)
10.1007/s00521-023-08891-5
null
cs.DL cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open peer review is a growing trend in academic publications. Public access to peer review data can benefit both the academic and publishing communities. It also serves as a great support to studies on review comment generation and further to the realization of automated scholarly paper review. However, most of the e...
[ { "created": "Fri, 9 Dec 2022 16:35:14 GMT", "version": "v1" }, { "created": "Tue, 14 Nov 2023 18:06:48 GMT", "version": "v2" } ]
2023-11-15
[ [ "Lin", "Jialiang", "" ], [ "Song", "Jiaxin", "" ], [ "Zhou", "Zhangping", "" ], [ "Chen", "Yidong", "" ], [ "Shi", "Xiaodong", "" ] ]
Open peer review is a growing trend in academic publications. Public access to peer review data can benefit both the academic and publishing communities. It also serves as a great support to studies on review comment generation and further to the realization of automated scholarly paper review. However, most of the exi...
2306.13381
Rahul Nair
Rahul Nair
Co-creating a globally interpretable model with human input
Paper at Artificial Intelligence & Human-Computer Interaction Workshop at ICML 2023
null
null
null
cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
We consider an aggregated human-AI collaboration aimed at generating a joint interpretable model. The model takes the form of Boolean decision rules, where human input is provided in the form of logical conditions or as partial templates. This focus on the combined construction of a model offers a different perspecti...
[ { "created": "Fri, 23 Jun 2023 09:03:16 GMT", "version": "v1" } ]
2023-06-26
[ [ "Nair", "Rahul", "" ] ]
We consider an aggregated human-AI collaboration aimed at generating a joint interpretable model. The model takes the form of Boolean decision rules, where human input is provided in the form of logical conditions or as partial templates. This focus on the combined construction of a model offers a different perspective...
1204.4467
I-Hong Hou
I-Hong Hou and Rahul Singh
Real-Time Stochastic Processing Networks with Concurrent Resource Requirements
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic Processing Networks (SPNs) can be used to model communication networks, manufacturing systems, service systems, etc. We consider a real-time SPN where tasks generate jobs with strict deadlines according to their traffic patterns. Each job requires the concurrent usage of some resources to be processed. The...
[ { "created": "Thu, 19 Apr 2012 20:34:57 GMT", "version": "v1" } ]
2012-04-23
[ [ "Hou", "I-Hong", "" ], [ "Singh", "Rahul", "" ] ]
Stochastic Processing Networks (SPNs) can be used to model communication networks, manufacturing systems, service systems, etc. We consider a real-time SPN where tasks generate jobs with strict deadlines according to their traffic patterns. Each job requires the concurrent usage of some resources to be processed. The p...
1908.04133
Matthias Niedermaier
Matthias Niedermaier and Dominik Merli and Georg Sigl
A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices
null
2019 8th Mediterranean Conference on Embedded Computing (MECO)
10.1109/MECO.2019.8760188
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Industrial Internet of Things (IIoT) has already become a part of our everyday life be it water supply, smart grid, or production, IIoT is everywhere. For example, factory operators want to know the current state of the production line. These new demands for data acquisition in modern plants require industrial co...
[ { "created": "Mon, 12 Aug 2019 12:58:53 GMT", "version": "v1" } ]
2019-08-13
[ [ "Niedermaier", "Matthias", "" ], [ "Merli", "Dominik", "" ], [ "Sigl", "Georg", "" ] ]
The Industrial Internet of Things (IIoT) has already become a part of our everyday life be it water supply, smart grid, or production, IIoT is everywhere. For example, factory operators want to know the current state of the production line. These new demands for data acquisition in modern plants require industrial comp...
2002.12324
Eric Brachmann
Eric Brachmann and Carsten Rother
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a learning-based system that estimates the camera position and orientation from a single input image relative to a known environment. The system is flexible w.r.t. the amount of information available at test and at training time, catering to different applications. Input images can be RGB-D or RGB, and a ...
[ { "created": "Thu, 27 Feb 2020 18:45:21 GMT", "version": "v1" }, { "created": "Fri, 28 Aug 2020 12:07:47 GMT", "version": "v2" }, { "created": "Mon, 31 Aug 2020 12:29:26 GMT", "version": "v3" }, { "created": "Fri, 9 Oct 2020 15:03:02 GMT", "version": "v4" } ]
2020-10-12
[ [ "Brachmann", "Eric", "" ], [ "Rother", "Carsten", "" ] ]
We describe a learning-based system that estimates the camera position and orientation from a single input image relative to a known environment. The system is flexible w.r.t. the amount of information available at test and at training time, catering to different applications. Input images can be RGB-D or RGB, and a 3D...
2310.17417
John Liu
Hing Lie, Kachina Studer, Zhen Zhao, Ben Thomson, Dishita G Turakhia, John Liu
Training for Open-Ended Drilling through a Virtual Reality Simulation
10 pages, 4 figures, 9 tables
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Virtual Reality (VR) can support effective and scalable training of psychomotor skills in manufacturing. However, many industry training modules offer experiences that are close-ended and do not allow for human error. We aim to address this gap in VR training tools for psychomotor skills training by exploring an open...
[ { "created": "Thu, 26 Oct 2023 14:22:30 GMT", "version": "v1" } ]
2023-10-27
[ [ "Lie", "Hing", "" ], [ "Studer", "Kachina", "" ], [ "Zhao", "Zhen", "" ], [ "Thomson", "Ben", "" ], [ "Turakhia", "Dishita G", "" ], [ "Liu", "John", "" ] ]
Virtual Reality (VR) can support effective and scalable training of psychomotor skills in manufacturing. However, many industry training modules offer experiences that are close-ended and do not allow for human error. We aim to address this gap in VR training tools for psychomotor skills training by exploring an open-e...
2406.00588
Xiao-Shan Gao
Lijia Yu and Shuang Liu and Yibo Miao and Xiao-Shan Gao and Lijun Zhang
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
null
null
null
null
cs.LG cs.CR math.ST stat.TH
http://creativecommons.org/licenses/by/4.0/
The generalization bound is a crucial theoretical tool for assessing the generalizability of learning methods and there exist vast literatures on generalizability of normal learning, adversarial learning, and data poisoning. Unlike other data poison attacks, the backdoor attack has the special property that the poiso...
[ { "created": "Sun, 2 Jun 2024 01:46:58 GMT", "version": "v1" } ]
2024-06-05
[ [ "Yu", "Lijia", "" ], [ "Liu", "Shuang", "" ], [ "Miao", "Yibo", "" ], [ "Gao", "Xiao-Shan", "" ], [ "Zhang", "Lijun", "" ] ]
The generalization bound is a crucial theoretical tool for assessing the generalizability of learning methods and there exist vast literatures on generalizability of normal learning, adversarial learning, and data poisoning. Unlike other data poison attacks, the backdoor attack has the special property that the poisone...
1511.02919
Deepti Ghadiyaram
Deepti Ghadiyaram and Alan C. Bovik
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
16 pages
null
10.1109/TIP.2015.2500021
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, whi...
[ { "created": "Mon, 9 Nov 2015 22:39:58 GMT", "version": "v1" } ]
2016-01-20
[ [ "Ghadiyaram", "Deepti", "" ], [ "Bovik", "Alan C.", "" ] ]
Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, which...
2206.01970
Haosen Wang
Enqiang Zhu, Haosen Wang, Yu Zhang, Kai Zhang, Chanjuan Liu
PHEE: A phased hybrid evaluation-enhanced approach for identifying influential users in social networks
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the purpose of maximizing the spread of influence caused by a certain small number k of nodes in a social network, we are asked to find a k-subset of nodes (i.e., a seed set) with the best capacity to influence the nodes not in it. This problem of influence maximization (IM) has wide application, belongs to subse...
[ { "created": "Sat, 4 Jun 2022 12:00:08 GMT", "version": "v1" } ]
2022-06-07
[ [ "Zhu", "Enqiang", "" ], [ "Wang", "Haosen", "" ], [ "Zhang", "Yu", "" ], [ "Zhang", "Kai", "" ], [ "Liu", "Chanjuan", "" ] ]
For the purpose of maximizing the spread of influence caused by a certain small number k of nodes in a social network, we are asked to find a k-subset of nodes (i.e., a seed set) with the best capacity to influence the nodes not in it. This problem of influence maximization (IM) has wide application, belongs to subset ...
2203.10581
Ariel Gera
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
Cluster & Tune: Boost Cold Start Performance in Text Classification
9 pages, 6 figures; To be published in ACL 2022
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In real-world scenarios, a text classification task often begins with a cold start, when labeled data is scarce. In such cases, the common practice of fine-tuning pre-trained models, such as BERT, for a target classification task, is prone to produce poor performance. We suggest a method to boost the performance of s...
[ { "created": "Sun, 20 Mar 2022 15:29:34 GMT", "version": "v1" } ]
2022-03-22
[ [ "Shnarch", "Eyal", "" ], [ "Gera", "Ariel", "" ], [ "Halfon", "Alon", "" ], [ "Dankin", "Lena", "" ], [ "Choshen", "Leshem", "" ], [ "Aharonov", "Ranit", "" ], [ "Slonim", "Noam", "" ] ]
In real-world scenarios, a text classification task often begins with a cold start, when labeled data is scarce. In such cases, the common practice of fine-tuning pre-trained models, such as BERT, for a target classification task, is prone to produce poor performance. We suggest a method to boost the performance of suc...
2012.01644
Joy Hsu
Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
To appear at NeurIPS 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the task of representation learning for unsupervised segmentation of 3D voxel-grid biomedical images. We show that models that capture implicit hierarchical relationships between subvolumes are better suited for this task. To that end, we consider encoder-decoder architectures with a hyperbolic latent spa...
[ { "created": "Thu, 3 Dec 2020 02:15:31 GMT", "version": "v1" }, { "created": "Fri, 4 Dec 2020 23:28:46 GMT", "version": "v2" }, { "created": "Mon, 25 Oct 2021 22:36:34 GMT", "version": "v3" } ]
2021-10-27
[ [ "Hsu", "Joy", "" ], [ "Gu", "Jeffrey", "" ], [ "Wu", "Gong-Her", "" ], [ "Chiu", "Wah", "" ], [ "Yeung", "Serena", "" ] ]
We consider the task of representation learning for unsupervised segmentation of 3D voxel-grid biomedical images. We show that models that capture implicit hierarchical relationships between subvolumes are better suited for this task. To that end, we consider encoder-decoder architectures with a hyperbolic latent space...
1807.02816
The-Hien Dang-Ha
The-Hien Dang-Ha
Improving Deep Learning through Automatic Programming
Master's thesis (2014)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning and deep architectures are emerging as the best machine learning methods so far in many practical applications such as reducing the dimensionality of data, image classification, speech recognition or object segmentation. In fact, many leading technology companies such as Google, Microsoft or IBM are res...
[ { "created": "Sun, 8 Jul 2018 13:38:21 GMT", "version": "v1" } ]
2018-07-10
[ [ "Dang-Ha", "The-Hien", "" ] ]
Deep learning and deep architectures are emerging as the best machine learning methods so far in many practical applications such as reducing the dimensionality of data, image classification, speech recognition or object segmentation. In fact, many leading technology companies such as Google, Microsoft or IBM are resea...
0911.3306
Pascal Urso
Nacer Boudjlida (INRIA Lorraine - LORIA), Jean-Pierre Jacquot (LORIA), Pascal Urso (INRIA Lorraine - LORIA)
Software Engineering Education by Example
null
5th China - Europe International Symposium on Software Industry Oriented Education (CEISIE 2009), Bordeaux : France (2009)
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on the old but famous distinction between "in the small" and "in the large" software development, at Nancy Universit\'e, UHP Nancy 1, we experience for a while software engineering education thanks to actual project engineering. This education method has the merit to enable students to discover and to overcome ...
[ { "created": "Tue, 17 Nov 2009 13:36:59 GMT", "version": "v1" } ]
2009-11-18
[ [ "Boudjlida", "Nacer", "", "INRIA Lorraine - LORIA" ], [ "Jacquot", "Jean-Pierre", "", "LORIA" ], [ "Urso", "Pascal", "", "INRIA Lorraine - LORIA" ] ]
Based on the old but famous distinction between "in the small" and "in the large" software development, at Nancy Universit\'e, UHP Nancy 1, we experience for a while software engineering education thanks to actual project engineering. This education method has the merit to enable students to discover and to overcome ac...
2012.01172
Burak Yildiz
Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, and Jan van Gemert
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility
Accepted to RRPR 2020: Third Workshop on Reproducible Research in Pattern Recognition
null
10.1007/978-3-030-76423-4_1
null
cs.CY cs.CV
http://creativecommons.org/licenses/by/4.0/
We present ReproducedPapers.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 res...
[ { "created": "Tue, 1 Dec 2020 11:19:45 GMT", "version": "v1" } ]
2021-06-11
[ [ "Yildiz", "Burak", "" ], [ "Hung", "Hayley", "" ], [ "Krijthe", "Jesse H.", "" ], [ "Liem", "Cynthia C. S.", "" ], [ "Loog", "Marco", "" ], [ "Migut", "Gosia", "" ], [ "Oliehoek", "Frans", "" ], [ "...
We present ReproducedPapers.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 respo...
1203.4627
Vasilis Gkatzelis
Richard Cole, Vasilis Gkatzelis, Gagan Goel
Truthfulness, Proportional Fairness, and Efficiency
null
null
null
null
cs.GT cs.DS cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How does one allocate a collection of resources to a set of strategic agents in a fair and efficient manner without using money? For in many scenarios it is not feasible to use money to compensate agents for otherwise unsatisfactory outcomes. This paper studies this question, looking at both fairness and efficiency m...
[ { "created": "Tue, 20 Mar 2012 23:55:49 GMT", "version": "v1" }, { "created": "Fri, 6 Jul 2012 22:16:17 GMT", "version": "v2" } ]
2012-07-10
[ [ "Cole", "Richard", "" ], [ "Gkatzelis", "Vasilis", "" ], [ "Goel", "Gagan", "" ] ]
How does one allocate a collection of resources to a set of strategic agents in a fair and efficient manner without using money? For in many scenarios it is not feasible to use money to compensate agents for otherwise unsatisfactory outcomes. This paper studies this question, looking at both fairness and efficiency mea...
2404.00987
Ruowen Zhao
Ruowen Zhao, Zhengyi Wang, Yikai Wang, Zihan Zhou and Jun Zhu
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
Project page: https://flexidreamer.github.io
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D content generation has wide applications in various fields. One of its dominant paradigms is by sparse-view reconstruction using multi-view images generated by diffusion models. However, since directly reconstructing triangle meshes from multi-view images is challenging, most methodologies opt to an implicit repre...
[ { "created": "Mon, 1 Apr 2024 08:20:18 GMT", "version": "v1" }, { "created": "Mon, 27 May 2024 09:51:37 GMT", "version": "v2" } ]
2024-05-28
[ [ "Zhao", "Ruowen", "" ], [ "Wang", "Zhengyi", "" ], [ "Wang", "Yikai", "" ], [ "Zhou", "Zihan", "" ], [ "Zhu", "Jun", "" ] ]
3D content generation has wide applications in various fields. One of its dominant paradigms is by sparse-view reconstruction using multi-view images generated by diffusion models. However, since directly reconstructing triangle meshes from multi-view images is challenging, most methodologies opt to an implicit represe...
1712.09509
Zhiqing Sun
Zhiqing Sun, Gehui Shen, Zhihong Deng
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks
Under review as a conference paper at ACL 2018; 10 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most previous approaches to Chinese word segmentation can be roughly classified into character-based and word-based methods. The former regards this task as a sequence-labeling problem, while the latter directly segments character sequence into words. However, if we consider segmenting a given sentence, the most intu...
[ { "created": "Wed, 27 Dec 2017 06:44:02 GMT", "version": "v1" } ]
2017-12-29
[ [ "Sun", "Zhiqing", "" ], [ "Shen", "Gehui", "" ], [ "Deng", "Zhihong", "" ] ]
Most previous approaches to Chinese word segmentation can be roughly classified into character-based and word-based methods. The former regards this task as a sequence-labeling problem, while the latter directly segments character sequence into words. However, if we consider segmenting a given sentence, the most intuit...
1710.08986
Dimitri Scheftelowitsch
Dimitri Scheftelowitsch, Peter Buchholz, Vahid Hashemi, Holger Hermanns
Multi-Objective Approaches to Markov Decision Processes with Uncertain Transition Parameters
9 pages, 5 figures, preprint for VALUETOOLS 2017
null
null
null
cs.AI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Markov decision processes (MDPs) are a popular model for performance analysis and optimization of stochastic systems. The parameters of stochastic behavior of MDPs are estimates from empirical observations of a system; their values are not known precisely. Different types of MDPs with uncertain, imprecise or bounded ...
[ { "created": "Fri, 20 Oct 2017 07:47:41 GMT", "version": "v1" } ]
2017-10-26
[ [ "Scheftelowitsch", "Dimitri", "" ], [ "Buchholz", "Peter", "" ], [ "Hashemi", "Vahid", "" ], [ "Hermanns", "Holger", "" ] ]
Markov decision processes (MDPs) are a popular model for performance analysis and optimization of stochastic systems. The parameters of stochastic behavior of MDPs are estimates from empirical observations of a system; their values are not known precisely. Different types of MDPs with uncertain, imprecise or bounded tr...
1612.05878
Suzhi Bi
Suzhi Bi and Ying Jun Zhang
Graph-based Cyber Security Analysis of State Estimation in Smart Power Grid
This article has been accepted for publication by IEEE Communications Magazine (Dec 2016)
null
null
null
cs.SY cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart power grid enables intelligent automation at all levels of power system operation, from electricity generation at power plants to power usage at households. The key enabling factor of an efficient smart grid is its built-in information and communication technology (ICT) that monitors the real-time system operat...
[ { "created": "Sun, 18 Dec 2016 09:27:40 GMT", "version": "v1" } ]
2016-12-20
[ [ "Bi", "Suzhi", "" ], [ "Zhang", "Ying Jun", "" ] ]
Smart power grid enables intelligent automation at all levels of power system operation, from electricity generation at power plants to power usage at households. The key enabling factor of an efficient smart grid is its built-in information and communication technology (ICT) that monitors the real-time system operatin...
2203.16875
Xiangjun Gao
Xiangjun Gao, Jiaolong Yang, Jongyoo Kim, Sida Peng, Zicheng Liu, Xin Tong
MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been rapid progress recently on 3D human rendering, including novel view synthesis and pose animation, based on the advances of neural radiance fields (NeRF). However, most existing methods focus on person-specific training and their training typically requires multi-view videos. This paper deals with a new...
[ { "created": "Thu, 31 Mar 2022 08:09:03 GMT", "version": "v1" }, { "created": "Wed, 27 Jul 2022 06:10:50 GMT", "version": "v2" } ]
2022-07-28
[ [ "Gao", "Xiangjun", "" ], [ "Yang", "Jiaolong", "" ], [ "Kim", "Jongyoo", "" ], [ "Peng", "Sida", "" ], [ "Liu", "Zicheng", "" ], [ "Tong", "Xin", "" ] ]
There has been rapid progress recently on 3D human rendering, including novel view synthesis and pose animation, based on the advances of neural radiance fields (NeRF). However, most existing methods focus on person-specific training and their training typically requires multi-view videos. This paper deals with a new c...
2311.10388
Junjie Zhao
Junjie Zhao and Xiang Chen and Guang Yang and Yiheng Shen
Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The previous smart contract code comment (SCC) generation approaches can be divided into two categories: fine-tuning paradigm-based approaches and information retrieval-based approaches. However, for the fine-tuning paradigm-based approaches, the performance may be limited by the quality of the gathered dataset for t...
[ { "created": "Fri, 17 Nov 2023 08:31:09 GMT", "version": "v1" }, { "created": "Tue, 16 Jan 2024 07:58:25 GMT", "version": "v2" } ]
2024-01-17
[ [ "Zhao", "Junjie", "" ], [ "Chen", "Xiang", "" ], [ "Yang", "Guang", "" ], [ "Shen", "Yiheng", "" ] ]
The previous smart contract code comment (SCC) generation approaches can be divided into two categories: fine-tuning paradigm-based approaches and information retrieval-based approaches. However, for the fine-tuning paradigm-based approaches, the performance may be limited by the quality of the gathered dataset for the...
2108.10061
Larkin Liu
Larkin Liu, Jun Tao Luo
An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM
18 pages, 7 figures, Manuscript
null
null
null
cs.LG stat.CO
http://creativecommons.org/licenses/by/4.0/
Flexible implementations of Monte Carlo Tree Search (MCTS), combined with domain specific knowledge and hybridization with other search algorithms, can be powerful for finding the solutions to problems in complex planning. We introduce mctreesearch4j, an MCTS implementation written as a standard JVM library following...
[ { "created": "Fri, 30 Jul 2021 08:17:04 GMT", "version": "v1" } ]
2021-08-24
[ [ "Liu", "Larkin", "" ], [ "Luo", "Jun Tao", "" ] ]
Flexible implementations of Monte Carlo Tree Search (MCTS), combined with domain specific knowledge and hybridization with other search algorithms, can be powerful for finding the solutions to problems in complex planning. We introduce mctreesearch4j, an MCTS implementation written as a standard JVM library following k...
1606.03212
Furong Huang
Furong Huang
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
Ph.D. Thesis
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised learning aims at the discovery of hidden structure that drives the observations in the real world. It is essential for success in modern machine learning. Latent variable models are versatile in unsupervised learning and have applications in almost every domain. Training latent variable models is challen...
[ { "created": "Fri, 10 Jun 2016 07:17:00 GMT", "version": "v1" } ]
2016-06-13
[ [ "Huang", "Furong", "" ] ]
Unsupervised learning aims at the discovery of hidden structure that drives the observations in the real world. It is essential for success in modern machine learning. Latent variable models are versatile in unsupervised learning and have applications in almost every domain. Training latent variable models is challengi...
2308.08991
Yuqiang Sun
Yuqiang Sun, Zhengzi Xu, Chengwei Liu, Yiran Zhang, Yang Liu
Who is the Real Hero? Measuring Developer Contribution via Multi-dimensional Data Integration
null
null
10.1109/ASE56229.2023.00102
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proper incentives are important for motivating developers in open-source communities, which is crucial for maintaining the development of open-source software healthy. To provide such incentives, an accurate and objective developer contribution measurement method is needed. However, existing methods rely heavily on m...
[ { "created": "Thu, 17 Aug 2023 13:57:44 GMT", "version": "v1" }, { "created": "Thu, 31 Aug 2023 07:42:39 GMT", "version": "v2" } ]
2023-11-21
[ [ "Sun", "Yuqiang", "" ], [ "Xu", "Zhengzi", "" ], [ "Liu", "Chengwei", "" ], [ "Zhang", "Yiran", "" ], [ "Liu", "Yang", "" ] ]
Proper incentives are important for motivating developers in open-source communities, which is crucial for maintaining the development of open-source software healthy. To provide such incentives, an accurate and objective developer contribution measurement method is needed. However, existing methods rely heavily on man...
1611.06385
Jop Bri\"et
Jop Bri\"et
On Embeddings of $\ell_1^k$ from Locally Decodable Codes
Appeared earlier on ECCC (http://eccc.hpi-web.de/report/2015/086/). This version has a slightly shorter abstract and slightly edited introduction. Removed left-over notes
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that any $q$-query locally decodable code (LDC) gives a copy of $\ell_1^k$ with small distortion in the Banach space of $q$-linear forms on $\ell_{p_1}^N\times\cdots\times\ell_{p_q}^N$, provided $1/p_1 + \cdots + 1/p_q \leq 1$ and where $k$, $N$, and the distortion are simple functions of the code parameters....
[ { "created": "Sat, 19 Nov 2016 15:39:20 GMT", "version": "v1" }, { "created": "Tue, 22 Nov 2016 12:04:37 GMT", "version": "v2" } ]
2016-11-23
[ [ "Briët", "Jop", "" ] ]
We show that any $q$-query locally decodable code (LDC) gives a copy of $\ell_1^k$ with small distortion in the Banach space of $q$-linear forms on $\ell_{p_1}^N\times\cdots\times\ell_{p_q}^N$, provided $1/p_1 + \cdots + 1/p_q \leq 1$ and where $k$, $N$, and the distortion are simple functions of the code parameters. W...
1811.03966
Lars Jaffke
Lars Jaffke and Paloma T. Lima
A Complexity Dichotomy for Critical Values of the b-Chromatic Number of Graphs
20 pages, 1 figure
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A $b$-coloring of a graph $G$ is a proper coloring of its vertices such that each color class contains a vertex that has at least one neighbor in all the other color classes. The b-Coloring problem asks whether a graph $G$ has a $b$-coloring with $k$ colors. The $b$-chromatic number of a graph $G$, denoted by $\chi_b...
[ { "created": "Fri, 9 Nov 2018 15:22:35 GMT", "version": "v1" }, { "created": "Mon, 11 Feb 2019 15:04:17 GMT", "version": "v2" } ]
2019-02-12
[ [ "Jaffke", "Lars", "" ], [ "Lima", "Paloma T.", "" ] ]
A $b$-coloring of a graph $G$ is a proper coloring of its vertices such that each color class contains a vertex that has at least one neighbor in all the other color classes. The b-Coloring problem asks whether a graph $G$ has a $b$-coloring with $k$ colors. The $b$-chromatic number of a graph $G$, denoted by $\chi_b(G...
1504.02089
Tomer Koren
Elad Hazan, Tomer Koren
The Computational Power of Optimization in Online Learning
null
null
null
null
cs.LG cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the fundamental problem of prediction with expert advice where the experts are "optimizable": there is a black-box optimization oracle that can be used to compute, in constant time, the leading expert in retrospect at any point in time. In this setting, we give a novel online algorithm that attains vanish...
[ { "created": "Wed, 8 Apr 2015 19:54:27 GMT", "version": "v1" }, { "created": "Fri, 17 Apr 2015 12:15:37 GMT", "version": "v2" }, { "created": "Mon, 2 Nov 2015 20:30:50 GMT", "version": "v3" }, { "created": "Wed, 27 Jan 2016 09:07:59 GMT", "version": "v4" } ]
2016-01-28
[ [ "Hazan", "Elad", "" ], [ "Koren", "Tomer", "" ] ]
We consider the fundamental problem of prediction with expert advice where the experts are "optimizable": there is a black-box optimization oracle that can be used to compute, in constant time, the leading expert in retrospect at any point in time. In this setting, we give a novel online algorithm that attains vanishin...
1701.01170
Yangzihao Wang
Yangzihao Wang, Yuechao Pan, Andrew Davidson, Yuduo Wu, Carl Yang, Leyuan Wang, Muhammad Osama, Chenshan Yuan, Weitang Liu, Andy T. Riffel and John D. Owens
Gunrock: GPU Graph Analytics
52 pages, invited paper to ACM Transactions on Parallel Computing (TOPC), an extended version of PPoPP'16 paper "Gunrock: A High-Performance Graph Processing Library on the GPU"
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs, have presented two significant challenges to developing a programmable high-performance graph library. "Gunrock", our graph-processing system designed specifically for the GPU, uses a ...
[ { "created": "Wed, 4 Jan 2017 22:16:07 GMT", "version": "v1" } ]
2017-01-06
[ [ "Wang", "Yangzihao", "" ], [ "Pan", "Yuechao", "" ], [ "Davidson", "Andrew", "" ], [ "Wu", "Yuduo", "" ], [ "Yang", "Carl", "" ], [ "Wang", "Leyuan", "" ], [ "Osama", "Muhammad", "" ], [ "Yuan", ...
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs, have presented two significant challenges to developing a programmable high-performance graph library. "Gunrock", our graph-processing system designed specifically for the GPU, uses a hi...
2208.04022
Wen-Ji Zhou
Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
Published as a conference paper at the 31st ACM International Conference on Information and Knowledge Management, CIKM 2022
null
10.1145/3511808.3557095
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequential recommendation predicts users' next behaviors with their historical interactions. Recommending with longer sequences improves recommendation accuracy and increases the degree of personalization. As sequences get longer, existing works have not yet addressed the following two main challenges. Firstly, model...
[ { "created": "Mon, 8 Aug 2022 10:11:46 GMT", "version": "v1" }, { "created": "Fri, 2 Sep 2022 06:17:49 GMT", "version": "v2" } ]
2022-09-05
[ [ "Lin", "Qianying", "" ], [ "Zhou", "Wen-Ji", "" ], [ "Wang", "Yanshi", "" ], [ "Da", "Qing", "" ], [ "Chen", "Qing-Guo", "" ], [ "Wang", "Bing", "" ] ]
Sequential recommendation predicts users' next behaviors with their historical interactions. Recommending with longer sequences improves recommendation accuracy and increases the degree of personalization. As sequences get longer, existing works have not yet addressed the following two main challenges. Firstly, modelin...
2208.14571
Zhen Zhang
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning
Published in NeurIPS 2022
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recovering underlying Directed Acyclic Graph (DAG) structures from observational data is highly challenging due to the combinatorial nature of the DAG-constrained optimization problem. Recently, DAG learning has been cast as a continuous optimization problem by characterizing the DAG constraint as a smooth equality o...
[ { "created": "Tue, 30 Aug 2022 23:56:12 GMT", "version": "v1" }, { "created": "Wed, 21 Dec 2022 03:21:04 GMT", "version": "v2" } ]
2022-12-23
[ [ "Zhang", "Zhen", "" ], [ "Ng", "Ignavier", "" ], [ "Gong", "Dong", "" ], [ "Liu", "Yuhang", "" ], [ "Abbasnejad", "Ehsan M", "" ], [ "Gong", "Mingming", "" ], [ "Zhang", "Kun", "" ], [ "Shi", "J...
Recovering underlying Directed Acyclic Graph (DAG) structures from observational data is highly challenging due to the combinatorial nature of the DAG-constrained optimization problem. Recently, DAG learning has been cast as a continuous optimization problem by characterizing the DAG constraint as a smooth equality one...
2011.06691
Fabien Racape
Franck Galpin, Fabien Racap\'e, Sunil Jaiswal, Philippe Bordes, Fabrice Le L\'eannec, Edouard Fran\c{c}ois
CNN-based driving of block partitioning for intra slices encoding
10 pages
2019 Data Compression Conference (DCC)
10.1109/DCC.2019.00024
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encode...
[ { "created": "Thu, 12 Nov 2020 23:55:12 GMT", "version": "v1" } ]
2020-11-16
[ [ "Galpin", "Franck", "" ], [ "Racapé", "Fabien", "" ], [ "Jaiswal", "Sunil", "" ], [ "Bordes", "Philippe", "" ], [ "Léannec", "Fabrice Le", "" ], [ "François", "Edouard", "" ] ]
This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder ...
1605.04478
Hamid Tizhoosh
Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
Gabor Barcodes for Medical Image Retrieval
To appear in proceedings of The 2016 IEEE International Conference on Image Processing (ICIP 2016), Sep 25-28, 2016, Phoenix, Arizona, USA
null
10.1109/ICIP.2016.7532807
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, advances in medical imaging have led to the emergence of massive databases, containing images from a diverse range of modalities. This has significantly heightened the need for automated annotation of the images on one side, and fast and memory-efficient content-based image retrieval systems on the o...
[ { "created": "Sat, 14 May 2016 22:39:29 GMT", "version": "v1" } ]
2016-11-15
[ [ "Nouredanesh", "Mina", "" ], [ "Tizhoosh", "Hamid R.", "" ], [ "Banijamali", "Ershad", "" ] ]
In recent years, advances in medical imaging have led to the emergence of massive databases, containing images from a diverse range of modalities. This has significantly heightened the need for automated annotation of the images on one side, and fast and memory-efficient content-based image retrieval systems on the oth...
2108.08768
Abdullatif Albaseer Mr
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha, and Aiman Erbad
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
4 figures, 7 pages
null
null
null
cs.DC cs.LG
http://creativecommons.org/licenses/by/4.0/
Clustered Federated Multitask Learning (CFL) was introduced as an efficient scheme to obtain reliable specialized models when data is imbalanced and distributed in a non-i.i.d. (non-independent and identically distributed) fashion amongst clients. While a similarity measure metric, like the cosine similarity, can be ...
[ { "created": "Mon, 16 Aug 2021 21:38:22 GMT", "version": "v1" } ]
2021-08-20
[ [ "Albaseer", "Abdullatif", "" ], [ "Abdallah", "Mohamed", "" ], [ "Al-Fuqaha", "Ala", "" ], [ "Erbad", "Aiman", "" ] ]
Clustered Federated Multitask Learning (CFL) was introduced as an efficient scheme to obtain reliable specialized models when data is imbalanced and distributed in a non-i.i.d. (non-independent and identically distributed) fashion amongst clients. While a similarity measure metric, like the cosine similarity, can be us...
2101.09409
Shin-Cheng Mu
Shin-Cheng Mu
Calculating a backtracking algorithm: an exercise in monadic program derivation
null
null
null
TR-IIS-19-003, Institute of Information Science, Academia Sinica
cs.PL
http://creativecommons.org/licenses/by-sa/4.0/
Equational reasoning is among the most important tools that functional programming provides us. Curiously, relatively less attention has been paid to reasoning about monadic programs. In this report we derive a backtracking algorithm for problem specifications that use a monadic unfold to generate possible solution...
[ { "created": "Sat, 23 Jan 2021 03:27:20 GMT", "version": "v1" } ]
2021-01-26
[ [ "Mu", "Shin-Cheng", "" ] ]
Equational reasoning is among the most important tools that functional programming provides us. Curiously, relatively less attention has been paid to reasoning about monadic programs. In this report we derive a backtracking algorithm for problem specifications that use a monadic unfold to generate possible solutions, w...
2004.09141
Jimmy Wu
Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser
Spatial Action Maps for Mobile Manipulation
To appear at Robotics: Science and Systems (RSS), 2020. Project page: https://spatial-action-maps.cs.princeton.edu
null
10.15607/RSS.2020.XVI.035
null
cs.RO cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e.g., step forward, turn left, turn right, etc.) from images of the current state (e.g., a bird's-eye view of a SLAM reconstruction). Instead, we show that it can be advantageous to learn with d...
[ { "created": "Mon, 20 Apr 2020 09:06:10 GMT", "version": "v1" }, { "created": "Thu, 4 Jun 2020 10:56:49 GMT", "version": "v2" } ]
2020-10-13
[ [ "Wu", "Jimmy", "" ], [ "Sun", "Xingyuan", "" ], [ "Zeng", "Andy", "" ], [ "Song", "Shuran", "" ], [ "Lee", "Johnny", "" ], [ "Rusinkiewicz", "Szymon", "" ], [ "Funkhouser", "Thomas", "" ] ]
Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e.g., step forward, turn left, turn right, etc.) from images of the current state (e.g., a bird's-eye view of a SLAM reconstruction). Instead, we show that it can be advantageous to learn with den...
2101.06398
JianYu Wang
Jianyu Wang, Shanzheng Guan, Shupei Liu, Xiao-Lei Zhang
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multichannel blind audio source separation aims to recover the latent sources from their multichannel mixtures without supervised information. One state-of-the-art blind audio source separation method, named independent low-rank matrix analysis (ILRMA), unifies independent vector analysis (IVA) and nonnegative matrix...
[ { "created": "Sat, 16 Jan 2021 08:12:23 GMT", "version": "v1" }, { "created": "Tue, 30 Mar 2021 03:11:58 GMT", "version": "v2" } ]
2021-03-31
[ [ "Wang", "Jianyu", "" ], [ "Guan", "Shanzheng", "" ], [ "Liu", "Shupei", "" ], [ "Zhang", "Xiao-Lei", "" ] ]
Multichannel blind audio source separation aims to recover the latent sources from their multichannel mixtures without supervised information. One state-of-the-art blind audio source separation method, named independent low-rank matrix analysis (ILRMA), unifies independent vector analysis (IVA) and nonnegative matrix f...
2104.09176
Stefan Zernetsch
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Intention Detection: A Probabilistic Approach
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
This article presents a holistic approach for probabilistic cyclist intention detection. A basic movement detection based on motion history images (MHI) and a residual convolutional neural network (ResNet) are used to estimate probabilities for the current cyclist motion state. These probabilities are used as weights...
[ { "created": "Mon, 19 Apr 2021 09:59:04 GMT", "version": "v1" } ]
2021-04-20
[ [ "Zernetsch", "Stefan", "" ], [ "Reichert", "Hannes", "" ], [ "Kress", "Viktor", "" ], [ "Doll", "Konrad", "" ], [ "Sick", "Bernhard", "" ] ]
This article presents a holistic approach for probabilistic cyclist intention detection. A basic movement detection based on motion history images (MHI) and a residual convolutional neural network (ResNet) are used to estimate probabilities for the current cyclist motion state. These probabilities are used as weights i...
2105.04112
Jun Yang
Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
In robotic bin-picking applications, the perception of texture-less, highly reflective parts is a valuable but challenging task. The high glossiness can introduce fake edges in RGB images and inaccurate depth measurements especially in heavily cluttered bin scenario. In this paper, we present the ROBI (Reflective Obj...
[ { "created": "Mon, 10 May 2021 04:55:29 GMT", "version": "v1" }, { "created": "Thu, 7 Oct 2021 01:12:20 GMT", "version": "v2" } ]
2021-10-08
[ [ "Yang", "Jun", "" ], [ "Gao", "Yizhou", "" ], [ "Li", "Dong", "" ], [ "Waslander", "Steven L.", "" ] ]
In robotic bin-picking applications, the perception of texture-less, highly reflective parts is a valuable but challenging task. The high glossiness can introduce fake edges in RGB images and inaccurate depth measurements especially in heavily cluttered bin scenario. In this paper, we present the ROBI (Reflective Objec...
2311.06728
Xiyue Gao
Xiyue Gao, Zhuang Liu, Jiangtao Cui, Hui Li, Hui Zhang, Kewei Wei, Kankan Zhao
A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Experimental Comparison
34 pages, 22 figures
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Database Management System (DBMS) fuzzing is an automated testing technique aimed at detecting errors and vulnerabilities in DBMSs by generating, mutating, and executing test cases. It not only reduces the time and cost of manual testing but also enhances detection coverage, providing valuable assistance in developin...
[ { "created": "Sun, 12 Nov 2023 04:18:03 GMT", "version": "v1" } ]
2023-11-14
[ [ "Gao", "Xiyue", "" ], [ "Liu", "Zhuang", "" ], [ "Cui", "Jiangtao", "" ], [ "Li", "Hui", "" ], [ "Zhang", "Hui", "" ], [ "Wei", "Kewei", "" ], [ "Zhao", "Kankan", "" ] ]
Database Management System (DBMS) fuzzing is an automated testing technique aimed at detecting errors and vulnerabilities in DBMSs by generating, mutating, and executing test cases. It not only reduces the time and cost of manual testing but also enhances detection coverage, providing valuable assistance in developing ...
2401.09410
Bhaskar Mitra
Karina Corti\~nas-Lorenzo, Si\^an Lindley, Ida Larsen-Ledet and Bhaskar Mitra
Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
null
null
null
null
cs.CY cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge can't be disentangled from people. As AI knowledge systems mine vast volumes of work-related data, the knowledge that's being extracted and surfaced is intrinsically linked to the people who create and use it. When these systems get embedded in organizational settings, the information that is brought to the...
[ { "created": "Wed, 17 Jan 2024 18:47:30 GMT", "version": "v1" } ]
2024-01-18
[ [ "Cortiñas-Lorenzo", "Karina", "" ], [ "Lindley", "Siân", "" ], [ "Larsen-Ledet", "Ida", "" ], [ "Mitra", "Bhaskar", "" ] ]
Knowledge can't be disentangled from people. As AI knowledge systems mine vast volumes of work-related data, the knowledge that's being extracted and surfaced is intrinsically linked to the people who create and use it. When these systems get embedded in organizational settings, the information that is brought to the f...
1902.06950
Dominic Orchard
Li-yao Xia, Dominic Orchard, Meng Wang
Composing bidirectional programs monadically (with appendices)
Provides the appendices of the paper, which appears in the proceedings of European Symposium on Programming (ESOP) 2019
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Software frequently converts data from one representation to another and vice versa. Naively specifying both conversion directions separately is error prone and introduces conceptual duplication. Instead, bidirectional programming techniques allow programs to be written which can be interpreted in both directions. Ho...
[ { "created": "Tue, 19 Feb 2019 08:47:23 GMT", "version": "v1" } ]
2019-02-20
[ [ "Xia", "Li-yao", "" ], [ "Orchard", "Dominic", "" ], [ "Wang", "Meng", "" ] ]
Software frequently converts data from one representation to another and vice versa. Naively specifying both conversion directions separately is error prone and introduces conceptual duplication. Instead, bidirectional programming techniques allow programs to be written which can be interpreted in both directions. Howe...
1309.0752
Dr. Nadeem Javaid
N. Javaid, O. Rehman, N. Alrajeh, Z. A. Khan, B. Manzoor, S. Ahmed
AID: An Energy Efficient Decoding Scheme for LDPC Codes in Wireless Body Area Sensor Networks
2013 International Workshop on Communications and Sensor Networks (ComSense-2013), Niagara Falls, Ontario, Canada on October 21-24, 2013 in conjunction with 4th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2013)
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the major challenges in Wireless Body Area Networks (WBANs) is to prolong the lifetime of network. Traditional research work focuses on minimizing transmit power, however, in the case of short range communication the consumption power in decoding is significantly larger than transmit power. This paper investig...
[ { "created": "Tue, 3 Sep 2013 17:30:48 GMT", "version": "v1" } ]
2013-09-04
[ [ "Javaid", "N.", "" ], [ "Rehman", "O.", "" ], [ "Alrajeh", "N.", "" ], [ "Khan", "Z. A.", "" ], [ "Manzoor", "B.", "" ], [ "Ahmed", "S.", "" ] ]
One of the major challenges in Wireless Body Area Networks (WBANs) is to prolong the lifetime of network. Traditional research work focuses on minimizing transmit power, however, in the case of short range communication the consumption power in decoding is significantly larger than transmit power. This paper investigat...
2310.00535
Yuandong Tian
Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Du
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
ICLR'24 camera ready. Improve theorem 3 and theorem 4. Polish writing and add code link
null
null
null
cs.LG cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
We propose Joint MLP/Attention (JoMA) dynamics, a novel mathematical framework to understand the training procedure of multilayer Transformer architectures. This is achieved by integrating out the self-attention layer in Transformers, producing a modified dynamics of MLP layers only. JoMA removes unrealistic assumpti...
[ { "created": "Sun, 1 Oct 2023 01:21:35 GMT", "version": "v1" }, { "created": "Tue, 3 Oct 2023 04:23:26 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2024 02:03:21 GMT", "version": "v3" } ]
2024-03-18
[ [ "Tian", "Yuandong", "" ], [ "Wang", "Yiping", "" ], [ "Zhang", "Zhenyu", "" ], [ "Chen", "Beidi", "" ], [ "Du", "Simon", "" ] ]
We propose Joint MLP/Attention (JoMA) dynamics, a novel mathematical framework to understand the training procedure of multilayer Transformer architectures. This is achieved by integrating out the self-attention layer in Transformers, producing a modified dynamics of MLP layers only. JoMA removes unrealistic assumption...
2407.19402
Xihua Sheng
Xihua Sheng, Chuanbo Tang, Li Li, Dong Liu, Feng Wu
NVC-1B: A Large Neural Video Coding Model
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still unexplored. In this paper, we try to explore how to build a large neural video coding model. Based on a small baseline model, we gradually ...
[ { "created": "Sun, 28 Jul 2024 05:12:22 GMT", "version": "v1" } ]
2024-07-30
[ [ "Sheng", "Xihua", "" ], [ "Tang", "Chuanbo", "" ], [ "Li", "Li", "" ], [ "Liu", "Dong", "" ], [ "Wu", "Feng", "" ] ]
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still unexplored. In this paper, we try to explore how to build a large neural video coding model. Based on a small baseline model, we gradually sc...
2208.02504
Usman Akhtar Dr
Usman Akhtar, Rafal Kucharski
Exploring Computational Complexity Of Ride-Pooling Problems
13 pages, 7 figures, Submitted to The Transportation Research Board (TRB), Annual Meeting (102nd)
null
null
null
cs.DS cs.PF
http://creativecommons.org/licenses/by-nc-nd/4.0/
Ride-pooling is computationally challenging. The number of feasible rides grows with the number of travelers and the degree (capacity of the vehicle to perform a pooled ride) and quickly explodes to the sizes making the problem not solvable analytically. In practice, heuristics are applied to limit the number of sear...
[ { "created": "Thu, 4 Aug 2022 07:30:30 GMT", "version": "v1" } ]
2022-08-05
[ [ "Akhtar", "Usman", "" ], [ "Kucharski", "Rafal", "" ] ]
Ride-pooling is computationally challenging. The number of feasible rides grows with the number of travelers and the degree (capacity of the vehicle to perform a pooled ride) and quickly explodes to the sizes making the problem not solvable analytically. In practice, heuristics are applied to limit the number of search...
2008.12735
Donald Honeycutt
Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
Accepted and to appear in the Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2020
null
null
null
cs.HC cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mixed-initiative systems allow users to interactively provide feedback to potentially improve system performance. Human feedback can correct model errors and update model parameters to dynamically adapt to changing data. Additionally, many users desire the ability to have a greater level of control and fix perceived ...
[ { "created": "Fri, 28 Aug 2020 16:46:41 GMT", "version": "v1" } ]
2020-08-31
[ [ "Honeycutt", "Donald R.", "" ], [ "Nourani", "Mahsan", "" ], [ "Ragan", "Eric D.", "" ] ]
Mixed-initiative systems allow users to interactively provide feedback to potentially improve system performance. Human feedback can correct model errors and update model parameters to dynamically adapt to changing data. Additionally, many users desire the ability to have a greater level of control and fix perceived fl...
1802.00304
Malika Bendechache
Malika Bendechache and M-Tahar Kechadi
Distributed Clustering Algorithm for Spatial Data Mining
6 pages. arXiv admin note: text overlap with arXiv:1704.03421
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2015 2nd IEEE International Conference on, pages 60--65, 2015
10.1109/ICSDM.2015.7298026
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed data mining techniques and mainly distributed clustering are widely used in the last decade because they deal with very large and heterogeneous datasets which cannot be gathered centrally. Current distributed clustering approaches are normally generating global models by aggregating local results that are...
[ { "created": "Thu, 1 Feb 2018 14:41:33 GMT", "version": "v1" } ]
2018-02-02
[ [ "Bendechache", "Malika", "" ], [ "Kechadi", "M-Tahar", "" ] ]
Distributed data mining techniques and mainly distributed clustering are widely used in the last decade because they deal with very large and heterogeneous datasets which cannot be gathered centrally. Current distributed clustering approaches are normally generating global models by aggregating local results that are o...
2109.02682
Abdulaziz Alaboudi
Abdulaziz Alaboudi, Thomas D. LaToza
Edit-Run Behavior in Programming and Debugging
VL/HCC 2021
null
null
null
cs.SE cs.HC
http://creativecommons.org/licenses/by/4.0/
As developers program and debug, they continuously edit and run their code, a behavior known as edit-run cycles. While techniques such as live programming are intended to support this behavior, little is known about the characteristics of edit-run cycles themselves. To bridge this gap, we analyzed 28 hours of program...
[ { "created": "Mon, 6 Sep 2021 18:06:01 GMT", "version": "v1" } ]
2021-09-08
[ [ "Alaboudi", "Abdulaziz", "" ], [ "LaToza", "Thomas D.", "" ] ]
As developers program and debug, they continuously edit and run their code, a behavior known as edit-run cycles. While techniques such as live programming are intended to support this behavior, little is known about the characteristics of edit-run cycles themselves. To bridge this gap, we analyzed 28 hours of programmi...
1902.10030
Hussam Qassim Mr.
Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer, and Abhishek Verma
Residual-CNDS for Grand Challenge Scene Dataset
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased layer count (parameters), leading to a slow backpropagation convergence prone to overfitting. We trained our model (Residual-CNDS) to classi...
[ { "created": "Sun, 13 Jan 2019 23:00:11 GMT", "version": "v1" } ]
2019-02-27
[ [ "Al-Barazanchi", "Hussein A.", "" ], [ "Qassim", "Hussam", "" ], [ "Feinzimer", "David", "" ], [ "Verma", "Abhishek", "" ] ]
Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased layer count (parameters), leading to a slow backpropagation convergence prone to overfitting. We trained our model (Residual-CNDS) to classify...
2302.08624
Kevin Scaria
Kevin Scaria and Himanshu Gupta and Siddharth Goyal and Saurabh Arjun Sawant and Swaroop Mishra and Chitta Baral
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
4 pages, 3 figures, 9 tables, 9 appendix pages
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples to each training sample, and instruction tune the model (Tk-Instruct) for ABSA subtasks, yielding significant performance improvements. Experi...
[ { "created": "Thu, 16 Feb 2023 23:29:22 GMT", "version": "v1" }, { "created": "Tue, 21 Feb 2023 06:53:41 GMT", "version": "v2" }, { "created": "Wed, 5 Apr 2023 04:44:43 GMT", "version": "v3" }, { "created": "Thu, 20 Apr 2023 05:57:12 GMT", "version": "v4" }, { "cr...
2023-11-14
[ [ "Scaria", "Kevin", "" ], [ "Gupta", "Himanshu", "" ], [ "Goyal", "Siddharth", "" ], [ "Sawant", "Saurabh Arjun", "" ], [ "Mishra", "Swaroop", "" ], [ "Baral", "Chitta", "" ] ]
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples to each training sample, and instruction tune the model (Tk-Instruct) for ABSA subtasks, yielding significant performance improvements. Experime...
2105.11927
Chong Peng
Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng and Chong Peng
Hyperspectral Image Denoising with Log-Based Robust PCA
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
It is a challenging task to remove heavy and mixed types of noise from Hyperspectral images (HSIs). In this paper, we propose a novel nonconvex approach to RPCA for HSI denoising, which adopts the log-determinant rank approximation and a novel $\ell_{2,\log}$ norm, to restrict the low-rank or column-wise sparse prope...
[ { "created": "Tue, 25 May 2021 13:32:01 GMT", "version": "v1" } ]
2021-05-26
[ [ "Liu", "Yang", "" ], [ "Zhang", "Qian", "" ], [ "Chen", "Yongyong", "" ], [ "Cheng", "Qiang", "" ], [ "Peng", "Chong", "" ] ]
It is a challenging task to remove heavy and mixed types of noise from Hyperspectral images (HSIs). In this paper, we propose a novel nonconvex approach to RPCA for HSI denoising, which adopts the log-determinant rank approximation and a novel $\ell_{2,\log}$ norm, to restrict the low-rank or column-wise sparse propert...
2205.08383
Matheus Schmitz
Matheus Schmitz, Rehan Ahmed, Jimi Cao
Bias and Fairness on Multimodal Emotion Detection Algorithms
null
null
10.13140/RG.2.2.14341.01769
null
cs.LG cs.AI cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Numerous studies have shown that machine learning algorithms can latch onto protected attributes such as race and gender and generate predictions that systematically discriminate against one or more groups. To date the majority of bias and fairness research has been on unimodal models. In this work, we explore the bi...
[ { "created": "Wed, 11 May 2022 20:03:25 GMT", "version": "v1" } ]
2022-05-18
[ [ "Schmitz", "Matheus", "" ], [ "Ahmed", "Rehan", "" ], [ "Cao", "Jimi", "" ] ]
Numerous studies have shown that machine learning algorithms can latch onto protected attributes such as race and gender and generate predictions that systematically discriminate against one or more groups. To date the majority of bias and fairness research has been on unimodal models. In this work, we explore the bias...
2406.19106
Francesco Cambria
Francesco Cambria, Francesco Invernici, Anna Bernasconi and Stefano Ceri
MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by-sa/4.0/
Mining information from graph databases is becoming overly important. To approach this problem, current methods focus on identifying subgraphs with specific topologies; as of today, no work has been focused on expressing jointly the syntax and semantics of mining operations over rich property graphs. We define MINE G...
[ { "created": "Thu, 27 Jun 2024 11:33:16 GMT", "version": "v1" } ]
2024-06-28
[ [ "Cambria", "Francesco", "" ], [ "Invernici", "Francesco", "" ], [ "Bernasconi", "Anna", "" ], [ "Ceri", "Stefano", "" ] ]
Mining information from graph databases is becoming overly important. To approach this problem, current methods focus on identifying subgraphs with specific topologies; as of today, no work has been focused on expressing jointly the syntax and semantics of mining operations over rich property graphs. We define MINE GRA...
1505.02898
Bikramjit Singh
Bikramjit Singh, Konstantinos Koufos, Olav Tirkkonen
Coordination protocol for inter-operator spectrum sharing based on spectrum usage favors
Published in proceedings of 23rd edition of European Conference on Networks and Communications (EuCNC), Bologna, Jun. 2014
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, mobile network operators are allocated spectrum bands on an exclusive basis. While this approach facilitates interference control, it may also result in low spectrum utilization efficiency. Inter-operator spectrum sharing is a potential method to enhance spectrum utilization. In order to realize it, a prot...
[ { "created": "Tue, 12 May 2015 08:10:44 GMT", "version": "v1" } ]
2015-05-13
[ [ "Singh", "Bikramjit", "" ], [ "Koufos", "Konstantinos", "" ], [ "Tirkkonen", "Olav", "" ] ]
Currently, mobile network operators are allocated spectrum bands on an exclusive basis. While this approach facilitates interference control, it may also result in low spectrum utilization efficiency. Inter-operator spectrum sharing is a potential method to enhance spectrum utilization. In order to realize it, a protoc...
1908.07820
XiaoKang Liu
Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma, Yaohong Jin
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-Task Learning (MTL) aims at boosting the overall performance of each individual task by leveraging useful information contained in multiple related tasks. It has shown great success in natural language processing (NLP). Currently, a number of MLT architectures and learning mechanisms have been proposed for vari...
[ { "created": "Fri, 16 Aug 2019 03:16:40 GMT", "version": "v1" }, { "created": "Fri, 7 Aug 2020 08:06:18 GMT", "version": "v2" } ]
2020-08-10
[ [ "Li", "Jianquan", "" ], [ "Liu", "Xiaokang", "" ], [ "Yin", "Wenpeng", "" ], [ "Yang", "Min", "" ], [ "Ma", "Liqun", "" ], [ "Jin", "Yaohong", "" ] ]
Multi-Task Learning (MTL) aims at boosting the overall performance of each individual task by leveraging useful information contained in multiple related tasks. It has shown great success in natural language processing (NLP). Currently, a number of MLT architectures and learning mechanisms have been proposed for variou...
1704.01893
Lukas Holzbaur
Lukas Holzbaur, Hannes Bartz, Antonia Wachter-Zeh
Improved Decoding and Error Floor Analysis of Staircase Codes
null
null
10.1007/s10623-018-0587-x
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Staircase codes play an important role as error-correcting codes in optical communications. In this paper, a low-complexity method for resolving stall patterns when decoding staircase codes is described. Stall patterns are the dominating contributor to the error floor in the original decoding method. Our improvement ...
[ { "created": "Thu, 6 Apr 2017 15:39:52 GMT", "version": "v1" }, { "created": "Fri, 5 Jan 2018 08:36:43 GMT", "version": "v2" }, { "created": "Thu, 5 Jul 2018 13:49:30 GMT", "version": "v3" }, { "created": "Mon, 3 Dec 2018 09:26:43 GMT", "version": "v4" } ]
2018-12-04
[ [ "Holzbaur", "Lukas", "" ], [ "Bartz", "Hannes", "" ], [ "Wachter-Zeh", "Antonia", "" ] ]
Staircase codes play an important role as error-correcting codes in optical communications. In this paper, a low-complexity method for resolving stall patterns when decoding staircase codes is described. Stall patterns are the dominating contributor to the error floor in the original decoding method. Our improvement is...
1506.03340
Karl Moritz Hermann
Karl Moritz Hermann, Tom\'a\v{s} Ko\v{c}isk\'y, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil Blunsom
Teaching Machines to Read and Comprehend
Appears in: Advances in Neural Information Processing Systems 28 (NIPS 2015). 14 pages, 13 figures
null
null
null
cs.CL cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until now large scale training and test datasets have been missing for this type of evaluation. In t...
[ { "created": "Wed, 10 Jun 2015 14:54:39 GMT", "version": "v1" }, { "created": "Thu, 1 Oct 2015 15:04:49 GMT", "version": "v2" }, { "created": "Thu, 19 Nov 2015 15:43:23 GMT", "version": "v3" } ]
2015-11-20
[ [ "Hermann", "Karl Moritz", "" ], [ "Kočiský", "Tomáš", "" ], [ "Grefenstette", "Edward", "" ], [ "Espeholt", "Lasse", "" ], [ "Kay", "Will", "" ], [ "Suleyman", "Mustafa", "" ], [ "Blunsom", "Phil", "" ] ]
Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until now large scale training and test datasets have been missing for this type of evaluation. In thi...
1911.12396
Marcelo Firer
Marcelo Firer
Alternative Metrics
This is a chapter for "Concise Encyclopedia of Coding Theory" to be published by CRC Press
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main scope of this chapter is metrics defined for coding and decoding purposes, mainly for block codes.
[ { "created": "Wed, 27 Nov 2019 19:46:55 GMT", "version": "v1" } ]
2019-12-02
[ [ "Firer", "Marcelo", "" ] ]
The main scope of this chapter is metrics defined for coding and decoding purposes, mainly for block codes.
1701.05924
Maria Cabrera
Maria Cabrera, Richard Voyles, Juan Wachs
Coherency in One-Shot Gesture Recognition
This paper was submitted to a IEEE conference
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
User's intentions may be expressed through spontaneous gesturing, which have been seen only a few times or never before. Recognizing such gestures involves one shot gesture learning. While most research has focused on the recognition of the gestures itself, recently new approaches were proposed to deal with gesture p...
[ { "created": "Fri, 20 Jan 2017 20:54:10 GMT", "version": "v1" } ]
2017-01-24
[ [ "Cabrera", "Maria", "" ], [ "Voyles", "Richard", "" ], [ "Wachs", "Juan", "" ] ]
User's intentions may be expressed through spontaneous gesturing, which have been seen only a few times or never before. Recognizing such gestures involves one shot gesture learning. While most research has focused on the recognition of the gestures itself, recently new approaches were proposed to deal with gesture per...
2206.04928
Mohit Vaishnav
Mohit Vaishnav, Thomas Serre
GAMR: A Guided Attention Model for (visual) Reasoning
null
Eleventh International Conference on Learning Representations (ICLR) 2023
null
null
cs.AI cs.LG cs.NE cs.SC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Humans continue to outperform modern AI systems in their ability to flexibly parse and understand complex visual scenes. Here, we present a novel module for visual reasoning, the Guided Attention Model for (visual) Reasoning (GAMR), which instantiates an active vision theory -- positing that the brain solves complex ...
[ { "created": "Fri, 10 Jun 2022 07:52:06 GMT", "version": "v1" }, { "created": "Mon, 13 Jun 2022 17:52:57 GMT", "version": "v2" }, { "created": "Wed, 21 Sep 2022 10:17:20 GMT", "version": "v3" }, { "created": "Thu, 22 Sep 2022 11:57:12 GMT", "version": "v4" }, { "c...
2023-03-22
[ [ "Vaishnav", "Mohit", "" ], [ "Serre", "Thomas", "" ] ]
Humans continue to outperform modern AI systems in their ability to flexibly parse and understand complex visual scenes. Here, we present a novel module for visual reasoning, the Guided Attention Model for (visual) Reasoning (GAMR), which instantiates an active vision theory -- positing that the brain solves complex vi...
2303.05862
Margherita Bert\`e
Margherita Bert\`e, Kyriaki Kalimeri, Daniela Paolotti
Monitoring Gender Gaps via LinkedIn Advertising Estimates: the case study of Italy
10 pages
In Proceedings of the ACM Web Science Conference 2023 (WebSci '23), April 30-May 1, 2023, Evanston, TX, USA. ACM, New York, NY, USA, 10 pages
10.1145/3578503.3583629
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Women remain underrepresented in the labour market. Although significant advancements are being made to increase female participation in the workforce, the gender gap is still far from being bridged. We contribute to the growing literature on gender inequalities in the labour market, evaluating the potential of the L...
[ { "created": "Fri, 10 Mar 2023 11:32:45 GMT", "version": "v1" } ]
2023-03-13
[ [ "Bertè", "Margherita", "" ], [ "Kalimeri", "Kyriaki", "" ], [ "Paolotti", "Daniela", "" ] ]
Women remain underrepresented in the labour market. Although significant advancements are being made to increase female participation in the workforce, the gender gap is still far from being bridged. We contribute to the growing literature on gender inequalities in the labour market, evaluating the potential of the Lin...
2104.00236
Jack Li
Jianhua Li, Ximeng Liu, Jiong Jin, Shui Yu
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid
10 pages, 10 figures, 5 tables
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The distributed denial of service (DDoS) attack is detrimental to businesses and individuals as we are heavily relying on the Internet. Due to remarkable profits, crackers favor DDoS as cybersecurity weapons in attacking servers, computers, IoT devices, and even the entire Internet. Many current detection and mitigat...
[ { "created": "Thu, 1 Apr 2021 03:40:29 GMT", "version": "v1" } ]
2021-04-02
[ [ "Li", "Jianhua", "" ], [ "Liu", "Ximeng", "" ], [ "Jin", "Jiong", "" ], [ "Yu", "Shui", "" ] ]
The distributed denial of service (DDoS) attack is detrimental to businesses and individuals as we are heavily relying on the Internet. Due to remarkable profits, crackers favor DDoS as cybersecurity weapons in attacking servers, computers, IoT devices, and even the entire Internet. Many current detection and mitigatio...
1701.00146
Erik Demaine
Jeffrey Bosboom, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Pasin Manurangsi, Anak Yodpinyanee
Even $1 \times n$ Edge-Matching and Jigsaw Puzzles are Really Hard
22 pages, 9 figures
null
null
null
cs.CC cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove the computational intractability of rotating and placing $n$ square tiles into a $1 \times n$ array such that adjacent tiles are compatible--either equal edge colors, as in edge-matching puzzles, or matching tab/pocket shapes, as in jigsaw puzzles. Beyond basic NP-hardness, we prove that it is NP-hard even t...
[ { "created": "Sat, 31 Dec 2016 17:05:53 GMT", "version": "v1" } ]
2017-01-03
[ [ "Bosboom", "Jeffrey", "" ], [ "Demaine", "Erik D.", "" ], [ "Demaine", "Martin L.", "" ], [ "Hesterberg", "Adam", "" ], [ "Manurangsi", "Pasin", "" ], [ "Yodpinyanee", "Anak", "" ] ]
We prove the computational intractability of rotating and placing $n$ square tiles into a $1 \times n$ array such that adjacent tiles are compatible--either equal edge colors, as in edge-matching puzzles, or matching tab/pocket shapes, as in jigsaw puzzles. Beyond basic NP-hardness, we prove that it is NP-hard even to ...
1002.1691
Rdv Ijcsis
Sumon Kumar Debnath, Foez Ahmed, Nayeema Islam
Performance Evaluation of Unicast and Broadcast Mobile Ad hoc Network Routing Protocols
7 Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS January 2010, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 1, pp. 40-46, January 2010, USA
null
Computer Science Volume 7 ISSN 19475500
cs.NI cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Efficient routing mechanism is a challenging issue for group oriented computing in Mobile Ad Hoc Networks (MANETs). The ability of MANETs to support adequate Quality of Service (QoS) for group communication is limited by the ability of the underlying ad-hoc routing protocols to provide consistent behavior despite the...
[ { "created": "Mon, 8 Feb 2010 19:12:53 GMT", "version": "v1" } ]
2010-02-09
[ [ "Debnath", "Sumon Kumar", "" ], [ "Ahmed", "Foez", "" ], [ "Islam", "Nayeema", "" ] ]
Efficient routing mechanism is a challenging issue for group oriented computing in Mobile Ad Hoc Networks (MANETs). The ability of MANETs to support adequate Quality of Service (QoS) for group communication is limited by the ability of the underlying ad-hoc routing protocols to provide consistent behavior despite the d...
1903.01298
Elvin Isufi
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
submitted to EUSIPCO 2019
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper reviews graph convolutional neural networks (GCNNs) through the lens of edge-variant graph filters. The edge-variant graph filter is a finite order, linear, and local recursion that allows each node, in each iteration, to weigh differently the information of its neighbors. By exploiting this recursion, we ...
[ { "created": "Mon, 4 Mar 2019 15:05:36 GMT", "version": "v1" } ]
2019-03-05
[ [ "Isufi", "Elvin", "" ], [ "Gama", "Fernando", "" ], [ "Ribeiro", "Alejandro", "" ] ]
This paper reviews graph convolutional neural networks (GCNNs) through the lens of edge-variant graph filters. The edge-variant graph filter is a finite order, linear, and local recursion that allows each node, in each iteration, to weigh differently the information of its neighbors. By exploiting this recursion, we fo...
1809.00952
Irvin Aloise
Irvin Aloise and Giorgio Grisetti
Matrix Difference in Pose-Graph Optimization
10 pages, 7 figures, source: https://srrg.gitlab.io/g2o_chordal_plugin.html
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pose-Graph optimization is a crucial component of many modern SLAM systems. Most prominent state of the art systems address this problem by iterative non-linear least squares. Both number of iterations and convergence basin of these approaches depend on the error functions used to describe the problem. The smoother a...
[ { "created": "Tue, 4 Sep 2018 13:41:01 GMT", "version": "v1" } ]
2018-09-05
[ [ "Aloise", "Irvin", "" ], [ "Grisetti", "Giorgio", "" ] ]
Pose-Graph optimization is a crucial component of many modern SLAM systems. Most prominent state of the art systems address this problem by iterative non-linear least squares. Both number of iterations and convergence basin of these approaches depend on the error functions used to describe the problem. The smoother and...
2302.05959
Yanheng Li
Yanheng Li, Lin Luoying, Xinyan Li, Yaxuan Mao, Ray Lc
"Nice to meet you!": Expressing Emotions with Movement Gestures and Textual Content in Automatic Handwriting Robots
HRI 2023 LBR
null
10.1145/3568294.3580045
null
cs.HC cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-writing robots have been used in assistive writing and drawing applications. However, robots do not convey emotional tones in the writing process due to the lack of behaviors humans typically adopt. To examine how people interpret designed robotic expressions of emotion through both movements and textual output,...
[ { "created": "Sun, 12 Feb 2023 17:13:25 GMT", "version": "v1" } ]
2023-02-14
[ [ "Li", "Yanheng", "" ], [ "Luoying", "Lin", "" ], [ "Li", "Xinyan", "" ], [ "Mao", "Yaxuan", "" ], [ "Lc", "Ray", "" ] ]
Text-writing robots have been used in assistive writing and drawing applications. However, robots do not convey emotional tones in the writing process due to the lack of behaviors humans typically adopt. To examine how people interpret designed robotic expressions of emotion through both movements and textual output, w...
2107.07116
Feng Shi
Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu and Vijaykrishnan Narayanan
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis
null
null
null
null
cs.NE cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CNF-based SAT and MaxSAT solvers are central to logic synthesis and verification systems. The increasing popularity of these constraint problems in electronic design automation encourages studies on different SAT problems and their properties for further computational efficiency. There has been both theoretical and p...
[ { "created": "Thu, 15 Jul 2021 04:47:35 GMT", "version": "v1" } ]
2021-07-16
[ [ "Shi", "Feng", "" ], [ "Lee", "Chonghan", "" ], [ "Bashar", "Mohammad Khairul", "" ], [ "Shukla", "Nikhil", "" ], [ "Zhu", "Song-Chun", "" ], [ "Narayanan", "Vijaykrishnan", "" ] ]
CNF-based SAT and MaxSAT solvers are central to logic synthesis and verification systems. The increasing popularity of these constraint problems in electronic design automation encourages studies on different SAT problems and their properties for further computational efficiency. There has been both theoretical and pra...
2106.13679
Giovanni Trappolini
Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodol\`a
Shape registration in the time of transformers
null
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds. The proposed approach is data-driven and adopts for the first time the transformer architecture in the registration task. Our method is general and applies to different settings. Given a fixed template...
[ { "created": "Fri, 25 Jun 2021 15:02:30 GMT", "version": "v1" }, { "created": "Mon, 28 Jun 2021 07:56:20 GMT", "version": "v2" } ]
2021-06-29
[ [ "Trappolini", "Giovanni", "" ], [ "Cosmo", "Luca", "" ], [ "Moschella", "Luca", "" ], [ "Marin", "Riccardo", "" ], [ "Melzi", "Simone", "" ], [ "Rodolà", "Emanuele", "" ] ]
In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds. The proposed approach is data-driven and adopts for the first time the transformer architecture in the registration task. Our method is general and applies to different settings. Given a fixed template w...
1801.07743
Pedro Saleiro
Pedro Saleiro
Entity Retrieval and Text Mining for Online Reputation Monitoring
PhD Thesis
null
null
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online Reputation Monitoring (ORM) is concerned with the use of computational tools to measure the reputation of entities online, such as politicians or companies. In practice, current ORM methods are constrained to the generation of data analytics reports, which aggregate statistics of popularity and sentiment on so...
[ { "created": "Tue, 23 Jan 2018 19:36:29 GMT", "version": "v1" } ]
2018-01-25
[ [ "Saleiro", "Pedro", "" ] ]
Online Reputation Monitoring (ORM) is concerned with the use of computational tools to measure the reputation of entities online, such as politicians or companies. In practice, current ORM methods are constrained to the generation of data analytics reports, which aggregate statistics of popularity and sentiment on soci...
1811.08203
Noveen Sachdeva
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Accepted as a paper at the 12th ACM Conference on Recommender Systems (RecSys 18)
12th ACM Conference on Recommender Systems (RecSys '18). ACM (2018) 417-421
10.1145/3240323.3240397
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high commercial value. The systems which aim at increasing the average time a user spends on the platform often need to recommend songs which ...
[ { "created": "Tue, 20 Nov 2018 12:10:06 GMT", "version": "v1" } ]
2018-11-21
[ [ "Sachdeva", "Noveen", "" ], [ "Gupta", "Kartik", "" ], [ "Pudi", "Vikram", "" ] ]
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high commercial value. The systems which aim at increasing the average time a user spends on the platform often need to recommend songs which th...
0710.2139
Ashkan Aazami
Ashkan Aazami, Michael D. Stilp
Approximation algorithms and hardness for domination with propagation
null
null
null
null
cs.CC cs.DM
null
The power dominating set (PDS) problem is the following extension of the well-known dominating set problem: find a smallest-size set of nodes $S$ that power dominates all the nodes, where a node $v$ is power dominated if (1) $v$ is in $S$ or $v$ has a neighbor in $S$, or (2) $v$ has a neighbor $w$ such that $w$ and a...
[ { "created": "Wed, 10 Oct 2007 23:30:49 GMT", "version": "v1" } ]
2007-10-12
[ [ "Aazami", "Ashkan", "" ], [ "Stilp", "Michael D.", "" ] ]
The power dominating set (PDS) problem is the following extension of the well-known dominating set problem: find a smallest-size set of nodes $S$ that power dominates all the nodes, where a node $v$ is power dominated if (1) $v$ is in $S$ or $v$ has a neighbor in $S$, or (2) $v$ has a neighbor $w$ such that $w$ and all...
2110.06750
Darius Sas
Darius Sas, Ilaria Pigazzini, Paris Avgeriou, Francesca Arcelli Fontana
The perception of Architectural Smells in industrial practice
Submitted and accepted to IEEE Software special issue on Technical Debt. This is a preprint
null
10.1109/MS.2021.3103664
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Architectural Technical Debt (ATD) is considered as the most significant type of TD in industrial practice. In this study, we interview 21 software engineers and architects to investigate a specific type of ATD, namely architectural smells (AS). Our goal is to understand the phenomenon of AS better and support practi...
[ { "created": "Wed, 13 Oct 2021 14:29:31 GMT", "version": "v1" } ]
2022-03-17
[ [ "Sas", "Darius", "" ], [ "Pigazzini", "Ilaria", "" ], [ "Avgeriou", "Paris", "" ], [ "Fontana", "Francesca Arcelli", "" ] ]
Architectural Technical Debt (ATD) is considered as the most significant type of TD in industrial practice. In this study, we interview 21 software engineers and architects to investigate a specific type of ATD, namely architectural smells (AS). Our goal is to understand the phenomenon of AS better and support practiti...
2008.09645
Sheng Liu
Sheng Liu, Zuo-Jun Max Shen, Xiang Ji
Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study
null
null
null
null
cs.AI cs.CE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study an urban bike lane planning problem based on the fine-grained bike trajectory data, which is made available by smart city infrastructure such as bike-sharing systems. The key decision is where to build bike lanes in the existing road network. As bike-sharing systems become widespread in the metropolitan area...
[ { "created": "Fri, 21 Aug 2020 18:46:51 GMT", "version": "v1" } ]
2020-08-25
[ [ "Liu", "Sheng", "" ], [ "Shen", "Zuo-Jun Max", "" ], [ "Ji", "Xiang", "" ] ]
We study an urban bike lane planning problem based on the fine-grained bike trajectory data, which is made available by smart city infrastructure such as bike-sharing systems. The key decision is where to build bike lanes in the existing road network. As bike-sharing systems become widespread in the metropolitan areas ...
1212.3879
EPTCS
Jurriaan Rot (LIACS - Leiden University, The Netherlands), Irina M\u{a}riuca As\u{a}voae (Alexandru Ioan Cuza University, Romania), Frank de Boer (Centrum Wiskunde en Informatica (CWI), The Netherlands), Marcello M. Bonsangue (LIACS - Leiden University, The Netherlands), Dorel Lucanu (Alexandru Ioan Cuza Univer...
Interacting via the Heap in the Presence of Recursion
In Proceedings ICE 2012, arXiv:1212.3458
EPTCS 104, 2012, pp. 99-113
10.4204/EPTCS.104.9
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Almost all modern imperative programming languages include operations for dynamically manipulating the heap, for example by allocating and deallocating objects, and by updating reference fields. In the presence of recursive procedures and local variables the interactions of a program with the heap can become rather c...
[ { "created": "Mon, 17 Dec 2012 03:42:47 GMT", "version": "v1" } ]
2012-12-18
[ [ "Rot", "Jurriaan", "", "LIACS - Leiden University, The Netherlands" ], [ "Asăvoae", "Irina Măriuca", "", "Alexandru Ioan Cuza University, Romania" ], [ "de Boer", "Frank", "", "Centrum Wiskunde en Informatica" ], [ "Bonsangue", "Marcello M.", ...
Almost all modern imperative programming languages include operations for dynamically manipulating the heap, for example by allocating and deallocating objects, and by updating reference fields. In the presence of recursive procedures and local variables the interactions of a program with the heap can become rather com...
1903.00565
Behnam Askarian
Fatemeh Sadat Tabei and Behnam Askarian
Effect of Proxy Nodes on the Performance of TCP-Based Transport Layer Protocols in Wireless Sensor Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless Sensor Networks have recently attracted many researchers attentions due to their wide range of applications. Even though a plethora of studies have been carried out on characteristics, special conditions, and various aspects of WSNs, transport protocol which is compatible with conditions of Wireless Sensor N...
[ { "created": "Fri, 1 Mar 2019 22:31:03 GMT", "version": "v1" } ]
2019-03-05
[ [ "Tabei", "Fatemeh Sadat", "" ], [ "Askarian", "Behnam", "" ] ]
Wireless Sensor Networks have recently attracted many researchers attentions due to their wide range of applications. Even though a plethora of studies have been carried out on characteristics, special conditions, and various aspects of WSNs, transport protocol which is compatible with conditions of Wireless Sensor Net...
2112.13808
Jamin Shin
Jamin Shin, Juneyoung Park
Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When learning a second language (L2), one of the most important but tedious components that often demoralizes students with its ineffectiveness and inefficiency is vocabulary acquisition, or more simply put, memorizing words. In light of such, a personalized and educational vocabulary recommendation system that trace...
[ { "created": "Mon, 27 Dec 2021 17:52:48 GMT", "version": "v1" }, { "created": "Tue, 28 Dec 2021 04:52:26 GMT", "version": "v2" } ]
2021-12-30
[ [ "Shin", "Jamin", "" ], [ "Park", "Juneyoung", "" ] ]
When learning a second language (L2), one of the most important but tedious components that often demoralizes students with its ineffectiveness and inefficiency is vocabulary acquisition, or more simply put, memorizing words. In light of such, a personalized and educational vocabulary recommendation system that traces ...
2403.01649
Steven Bellovin
Susan Landau, James X. Dempsey, Ece Kamar, Steven M. Bellovin
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals
null
null
null
null
cs.CY cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Contestability -- the ability to effectively challenge a decision -- is critical to the implementation of fairness. In the context of governmental decision making about individuals, contestability is often constitutionally required as an element of due process; specific procedures may be required by state or federal ...
[ { "created": "Mon, 4 Mar 2024 00:03:00 GMT", "version": "v1" } ]
2024-03-05
[ [ "Landau", "Susan", "" ], [ "Dempsey", "James X.", "" ], [ "Kamar", "Ece", "" ], [ "Bellovin", "Steven M.", "" ] ]
Contestability -- the ability to effectively challenge a decision -- is critical to the implementation of fairness. In the context of governmental decision making about individuals, contestability is often constitutionally required as an element of due process; specific procedures may be required by state or federal la...
2108.09956
Deborah Amos Phiri
Deborah Amos Phiri and Chipo Kanjo
Policy-Practice Contradiction: Case of Cloud Computing Adoption in the Malawi Health Sector
In proceedings of the 1st Virtual Conference on Implications of Information and Digital Technologies for Development, 2021
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper examines the dynamics of policy implementation and how policy contradicts reality on the ground when it comes to practice. The paper finds that despite having well-laid out policy; the actual practice is contrary. Taking data storage policy within the Ministry of Health in Malawi as a case study, the paper...
[ { "created": "Mon, 23 Aug 2021 05:59:46 GMT", "version": "v1" } ]
2021-08-24
[ [ "Phiri", "Deborah Amos", "" ], [ "Kanjo", "Chipo", "" ] ]
This paper examines the dynamics of policy implementation and how policy contradicts reality on the ground when it comes to practice. The paper finds that despite having well-laid out policy; the actual practice is contrary. Taking data storage policy within the Ministry of Health in Malawi as a case study, the paper h...
1403.5468
Jian-Jun Shu
Jian-Jun Shu and Qi-Wen Wang
Beyond Parrondo's paradox
null
Scientific Reports, Vol. 4, No. 4244, pp. 1-9, 2014
10.1038/srep04244
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Parrondo's paradox is a counterintuitive phenomenon where individually-losing strategies can be combined in producing a winning expectation. In this paper, the issues surrounding the Parrondo's paradox are investigated. The focus is lying on testifying whether the same paradoxical effect can be reproduced by usin...
[ { "created": "Fri, 21 Mar 2014 14:10:46 GMT", "version": "v1" } ]
2014-03-24
[ [ "Shu", "Jian-Jun", "" ], [ "Wang", "Qi-Wen", "" ] ]
The Parrondo's paradox is a counterintuitive phenomenon where individually-losing strategies can be combined in producing a winning expectation. In this paper, the issues surrounding the Parrondo's paradox are investigated. The focus is lying on testifying whether the same paradoxical effect can be reproduced by using ...
1810.03120
Andrzej Pelc
Andrzej Pelc, Ram Narayan Yadav
Using Time to Break Symmetry: Universal Deterministic Anonymous Rendezvous
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Two anonymous mobile agents navigate synchronously in an anonymous graph and have to meet at a node, using a deterministic algorithm. This is a symmetry breaking task called rendezvous, equivalent to the fundamental task of leader election between the agents. When is this feasible in a completely anonymous environmen...
[ { "created": "Sun, 7 Oct 2018 11:16:59 GMT", "version": "v1" } ]
2018-10-09
[ [ "Pelc", "Andrzej", "" ], [ "Yadav", "Ram Narayan", "" ] ]
Two anonymous mobile agents navigate synchronously in an anonymous graph and have to meet at a node, using a deterministic algorithm. This is a symmetry breaking task called rendezvous, equivalent to the fundamental task of leader election between the agents. When is this feasible in a completely anonymous environment?...
2405.03724
Junxiang Wang
Junxiang Wang and Liang Zhao
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
null
null
null
null
cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce GraphSL, a new library for studying the graph source localization problem. graph diffusion and graph source localization are inverse problems in nature: graph diffusion predicts information diffusions from information sources, while graph source localization predicts information sources from information ...
[ { "created": "Mon, 6 May 2024 04:00:00 GMT", "version": "v1" }, { "created": "Sun, 28 Jul 2024 17:34:22 GMT", "version": "v2" } ]
2024-07-30
[ [ "Wang", "Junxiang", "" ], [ "Zhao", "Liang", "" ] ]
We introduce GraphSL, a new library for studying the graph source localization problem. graph diffusion and graph source localization are inverse problems in nature: graph diffusion predicts information diffusions from information sources, while graph source localization predicts information sources from information di...
1612.03849
Gabriele Oliva
Gabriele Oliva, Andrea Gasparri, Adriano Fagiolini, and Christoforos N. Hadjicostis
Distributed and Proximity-Constrained C-Means for Discrete Coverage Control
To appear in the 56th IEEE Conference on Decision and Control, to be held in Melbourne, Australia, December 12-15, 2017
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a novel distributed coverage control framework for a network of mobile agents, in charge of covering a finite set of points of interest (PoI), such as people in danger, geographically dispersed equipment or environmental landmarks. The proposed algorithm is inspired by C-Means, an unsupervise...
[ { "created": "Mon, 12 Dec 2016 18:54:07 GMT", "version": "v1" }, { "created": "Thu, 16 Mar 2017 14:35:51 GMT", "version": "v2" }, { "created": "Fri, 8 Sep 2017 09:30:10 GMT", "version": "v3" }, { "created": "Sat, 16 Sep 2017 18:38:16 GMT", "version": "v4" } ]
2017-09-19
[ [ "Oliva", "Gabriele", "" ], [ "Gasparri", "Andrea", "" ], [ "Fagiolini", "Adriano", "" ], [ "Hadjicostis", "Christoforos N.", "" ] ]
In this paper we present a novel distributed coverage control framework for a network of mobile agents, in charge of covering a finite set of points of interest (PoI), such as people in danger, geographically dispersed equipment or environmental landmarks. The proposed algorithm is inspired by C-Means, an unsupervised ...
1502.04662
Tim Althoff
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
TimeMachine: Timeline Generation for Knowledge-Base Entities
To appear at ACM SIGKDD KDD'15. 12pp, 7 fig. With appendix. Demo and other info available at http://cs.stanford.edu/~althoff/timemachine/
null
10.1145/2783258.2783325
null
cs.DB cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method called TIMEMACHINE to generate a timeline of events and relations for entities in a knowledge base. For example for an actor, such a timeline should show the most important professional and personal milestones and relationships such as works, awards, collaborations, and family relationships. We de...
[ { "created": "Mon, 16 Feb 2015 18:53:01 GMT", "version": "v1" }, { "created": "Sat, 21 Feb 2015 07:02:11 GMT", "version": "v2" }, { "created": "Mon, 8 Jun 2015 20:39:26 GMT", "version": "v3" } ]
2015-06-10
[ [ "Althoff", "Tim", "" ], [ "Dong", "Xin Luna", "" ], [ "Murphy", "Kevin", "" ], [ "Alai", "Safa", "" ], [ "Dang", "Van", "" ], [ "Zhang", "Wei", "" ] ]
We present a method called TIMEMACHINE to generate a timeline of events and relations for entities in a knowledge base. For example for an actor, such a timeline should show the most important professional and personal milestones and relationships such as works, awards, collaborations, and family relationships. We deve...
2107.03140
Bahram Sadeghi Bigham
Bahram Sadeghi Bigham
Minimum Constraint Removal Problem for Line Segments is NP-hard
null
Bigham, Bahram Sadeghi. "Minimum constraint removal problem for line segments is NP-hard." Discrete Mathematics, Algorithms and Applications (2022): 2250055
null
null
cs.CG cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
In the minimum constraint removal ($MCR$), there is no feasible path to move from the starting point towards the goal and, the minimum constraints should be removed in order to find a collision-free path. It has been proved that $MCR$ problem is $NP-hard$ when constraints have arbitrary shapes or even they are in sha...
[ { "created": "Wed, 7 Jul 2021 10:57:22 GMT", "version": "v1" } ]
2023-02-21
[ [ "Bigham", "Bahram Sadeghi", "" ] ]
In the minimum constraint removal ($MCR$), there is no feasible path to move from the starting point towards the goal and, the minimum constraints should be removed in order to find a collision-free path. It has been proved that $MCR$ problem is $NP-hard$ when constraints have arbitrary shapes or even they are in shape...
1904.05272
Tang Liu
Tang Liu and Daniela Tuninetti
Decentralized Pliable Index Coding
5 pages. To be presented at ISIT 2019
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the ${\it decentralized}$ Pliable Index CODing (PICOD) problem: a variant of the Index Coding (IC) problem, where a central transmitter serves ${\it pliable}$ users with message side information; here, pliable refers to the fact that a user is satisfied by decoding ${\it any}$ $t$ messages that ...
[ { "created": "Wed, 10 Apr 2019 16:18:57 GMT", "version": "v1" } ]
2019-04-11
[ [ "Liu", "Tang", "" ], [ "Tuninetti", "Daniela", "" ] ]
This paper introduces the ${\it decentralized}$ Pliable Index CODing (PICOD) problem: a variant of the Index Coding (IC) problem, where a central transmitter serves ${\it pliable}$ users with message side information; here, pliable refers to the fact that a user is satisfied by decoding ${\it any}$ $t$ messages that ar...
2309.01398
Danqing Hu
Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu
Zero-shot information extraction from radiological reports using ChatGPT
null
null
10.1016/j.ijmedinf.2023.105321
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Electronic health records contain an enormous amount of valuable information, but many are recorded in free text. Information extraction is the strategy to transform the sequence of characters into structured data, which can be employed for secondary analysis. However, the traditional information extraction component...
[ { "created": "Mon, 4 Sep 2023 07:00:26 GMT", "version": "v1" }, { "created": "Thu, 7 Sep 2023 01:36:08 GMT", "version": "v2" } ]
2024-01-03
[ [ "Hu", "Danqing", "" ], [ "Liu", "Bing", "" ], [ "Zhu", "Xiaofeng", "" ], [ "Lu", "Xudong", "" ], [ "Wu", "Nan", "" ] ]
Electronic health records contain an enormous amount of valuable information, but many are recorded in free text. Information extraction is the strategy to transform the sequence of characters into structured data, which can be employed for secondary analysis. However, the traditional information extraction components,...
2402.03413
Huiyu Duan
Xiongkuo Min, Huiyu Duan, Wei Sun, Yucheng Zhu, Guangtao Zhai
Perceptual Video Quality Assessment: A Survey
null
null
null
null
cs.MM cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display. With the advancement of internet communication and cloud service technology, video conte...
[ { "created": "Mon, 5 Feb 2024 16:13:52 GMT", "version": "v1" } ]
2024-02-07
[ [ "Min", "Xiongkuo", "" ], [ "Duan", "Huiyu", "" ], [ "Sun", "Wei", "" ], [ "Zhu", "Yucheng", "" ], [ "Zhai", "Guangtao", "" ] ]
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display. With the advancement of internet communication and cloud service technology, video content...
1605.06417
Yuan Jiang
Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang
Shape Recognition by Bag of Skeleton-associated Contour Parts
10 pages. Has been Accepted by Pattern Recognition Letters 2016
null
10.1007/978-3-662-45646-0_40
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Contour and skeleton are two complementary representations for shape recognition. However combining them in a principal way is nontrivial, as they are generally abstracted by different structures (closed string vs graph), respectively. This paper aims at addressing the shape recognition problem by combining contour a...
[ { "created": "Fri, 20 May 2016 16:07:41 GMT", "version": "v1" } ]
2016-05-23
[ [ "Shen", "Wei", "" ], [ "Jiang", "Yuan", "" ], [ "Gao", "Wenjing", "" ], [ "Zeng", "Dan", "" ], [ "Wang", "Xinggang", "" ] ]
Contour and skeleton are two complementary representations for shape recognition. However combining them in a principal way is nontrivial, as they are generally abstracted by different structures (closed string vs graph), respectively. This paper aims at addressing the shape recognition problem by combining contour and...
2306.00809
Emanuele Francazi
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
Initial Guessing Bias: How Untrained Networks Favor Some Classes
We have added experiments on pre-trained models and various new results, including analysis in the limit of an infinite number of classes and an extension of the analysis to non-identically distributed classes. Additionally, we have slightly restructured the main paper to include more discussion on the practica...
null
null
null
cs.LG cond-mat.dis-nn stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding and controlling biasing effects in neural networks is crucial for ensuring accurate and fair model performance. In the context of classification problems, we provide a theoretical analysis demonstrating that the structure of a deep neural network (DNN) can condition the model to assign all predictions t...
[ { "created": "Thu, 1 Jun 2023 15:37:32 GMT", "version": "v1" }, { "created": "Wed, 1 Nov 2023 16:17:43 GMT", "version": "v2" }, { "created": "Mon, 12 Feb 2024 12:48:53 GMT", "version": "v3" }, { "created": "Thu, 13 Jun 2024 22:30:36 GMT", "version": "v4" } ]
2024-06-17
[ [ "Francazi", "Emanuele", "" ], [ "Lucchi", "Aurelien", "" ], [ "Baity-Jesi", "Marco", "" ] ]
Understanding and controlling biasing effects in neural networks is crucial for ensuring accurate and fair model performance. In the context of classification problems, we provide a theoretical analysis demonstrating that the structure of a deep neural network (DNN) can condition the model to assign all predictions to ...
1509.05636
Seetha Ramaiah M
M. Seetha Ramaiah, Amitabha Mukerjee, Arindam Chakraborty, Sadbodh Sharma
Visual Generalized Coordinates
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An open problem in robotics is that of using vision to identify a robot's own body and the world around it. Many models attempt to recover the traditional C-space parameters. Instead, we propose an alternative C-space by deriving generalized coordinates from $n$ images of the robot. We show that the space of such ima...
[ { "created": "Fri, 18 Sep 2015 14:17:57 GMT", "version": "v1" } ]
2015-09-21
[ [ "Ramaiah", "M. Seetha", "" ], [ "Mukerjee", "Amitabha", "" ], [ "Chakraborty", "Arindam", "" ], [ "Sharma", "Sadbodh", "" ] ]
An open problem in robotics is that of using vision to identify a robot's own body and the world around it. Many models attempt to recover the traditional C-space parameters. Instead, we propose an alternative C-space by deriving generalized coordinates from $n$ images of the robot. We show that the space of such image...
1102.0454
Arnau Ramisa
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramon Lopez de Mantaras
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
37 pages, 11 figures
null
null
IIIA research report 2011-01
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order to make robots suitable to perform high-level tasks in home environments. However, finding a solution for this task is daunting: it requir...
[ { "created": "Wed, 2 Feb 2011 15:00:09 GMT", "version": "v1" } ]
2015-03-18
[ [ "Ramisa", "Arnau", "" ], [ "Aldavert", "David", "" ], [ "Vasudevan", "Shrihari", "" ], [ "Toledo", "Ricardo", "" ], [ "de Mantaras", "Ramon Lopez", "" ] ]
This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order to make robots suitable to perform high-level tasks in home environments. However, finding a solution for this task is daunting: it requires...
1607.06042
Vaneet Aggarwal
Mehdi Ashraphijuo and Vaneet Aggarwal and Xiaodong Wang
The DoF of Two-way Butterfly Networks
null
IEEE Communications Letters, Volume: 21, Issue: 10, Oct. 2017
10.1109/LCOMM.2017.2723364
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the two-way butterfly network, a class of two-way four-unicast networks. We first show that bidirectional links do not increase the degrees of freedom for this network thus giving the first example for networks, to the best of our knowledge, where bidirectional links do not increase the degrees of ...
[ { "created": "Wed, 20 Jul 2016 17:44:49 GMT", "version": "v1" } ]
2017-11-03
[ [ "Ashraphijuo", "Mehdi", "" ], [ "Aggarwal", "Vaneet", "" ], [ "Wang", "Xiaodong", "" ] ]
This paper studies the two-way butterfly network, a class of two-way four-unicast networks. We first show that bidirectional links do not increase the degrees of freedom for this network thus giving the first example for networks, to the best of our knowledge, where bidirectional links do not increase the degrees of fr...
1605.03518
Yang Huang
Yang Huang and Bruno Clerckx
Relaying Strategies for Wireless-Powered MIMO Relay Networks
Submitted for possible journal publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates relaying schemes in an amplify-and-forward multiple-input multiple-output relay network, where an energy-constrained relay harvests wireless power from the source information flow and can be further aided by an energy flow (EF) in the form of a wireless power transfer at the destination. Howev...
[ { "created": "Wed, 11 May 2016 17:19:45 GMT", "version": "v1" } ]
2016-05-12
[ [ "Huang", "Yang", "" ], [ "Clerckx", "Bruno", "" ] ]
This paper investigates relaying schemes in an amplify-and-forward multiple-input multiple-output relay network, where an energy-constrained relay harvests wireless power from the source information flow and can be further aided by an energy flow (EF) in the form of a wireless power transfer at the destination. However...
2402.15769
Zeming Dong
Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao
Importance Guided Data Augmentation for Neural-Based Code Understanding
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-trained code models lead the era of code intelligence. Many models have been designed with impressive performance recently. However, one important problem, data augmentation for code data that automatically helps developers prepare training data lacks study in the field of code learning. In this paper, we introdu...
[ { "created": "Sat, 24 Feb 2024 08:57:12 GMT", "version": "v1" } ]
2024-02-27
[ [ "Dong", "Zeming", "" ], [ "Hu", "Qiang", "" ], [ "Xie", "Xiaofei", "" ], [ "Cordy", "Maxime", "" ], [ "Papadakis", "Mike", "" ], [ "Zhao", "Jianjun", "" ] ]
Pre-trained code models lead the era of code intelligence. Many models have been designed with impressive performance recently. However, one important problem, data augmentation for code data that automatically helps developers prepare training data lacks study in the field of code learning. In this paper, we introduce...
1807.00602
Evgeniy Gryaznov
Evgeniy Gryaznov
Semantic Query Language for Temporal Genealogical Trees
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by-sa/4.0/
Computers play a crucial role in modern ancestry management, they are used to collect, store, analyze, sort and display genealogical data. However, current applications do not take into account the kinship structure of a natural language. In this paper we propose a new domain-specific language KISP which is based o...
[ { "created": "Mon, 2 Jul 2018 11:27:51 GMT", "version": "v1" } ]
2018-07-03
[ [ "Gryaznov", "Evgeniy", "" ] ]
Computers play a crucial role in modern ancestry management, they are used to collect, store, analyze, sort and display genealogical data. However, current applications do not take into account the kinship structure of a natural language. In this paper we propose a new domain-specific language KISP which is based on a ...
2202.08870
Pat Morin
Prosenjit Bose, Pat Morin, and Saeed Odak
An Optimal Algorithm for Product Structure in Planar Graphs
14 pages, 5 figures
null
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The \emph{Product Structure Theorem} for planar graphs (Dujmovi\'c et al.\ \emph{JACM}, \textbf{67}(4):22) states that any planar graph is contained in the strong product of a planar $3$-tree, a path, and a $3$-cycle. We give a simple linear-time algorithm for finding this decomposition as well as several related dec...
[ { "created": "Thu, 17 Feb 2022 19:13:44 GMT", "version": "v1" } ]
2022-02-21
[ [ "Bose", "Prosenjit", "" ], [ "Morin", "Pat", "" ], [ "Odak", "Saeed", "" ] ]
The \emph{Product Structure Theorem} for planar graphs (Dujmovi\'c et al.\ \emph{JACM}, \textbf{67}(4):22) states that any planar graph is contained in the strong product of a planar $3$-tree, a path, and a $3$-cycle. We give a simple linear-time algorithm for finding this decomposition as well as several related decom...
2105.01913
Samin Aref
Samin Aref and Zachary P. Neal
Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance
Post-peer-review version, 23 pages, 7 figures, 2 tables, combined article and supplementary information
null
10.1038/s41598-021-98139-w
null
cs.SI cs.CY math.OC physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging. We reformulate and generalize two binary linear programming models that tackle this challenge, demonstrating their practica...
[ { "created": "Wed, 5 May 2021 07:57:41 GMT", "version": "v1" }, { "created": "Thu, 6 May 2021 05:17:10 GMT", "version": "v2" }, { "created": "Mon, 6 Sep 2021 22:17:22 GMT", "version": "v3" }, { "created": "Wed, 27 Jul 2022 00:54:13 GMT", "version": "v4" } ]
2022-07-28
[ [ "Aref", "Samin", "" ], [ "Neal", "Zachary P.", "" ] ]
In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging. We reformulate and generalize two binary linear programming models that tackle this challenge, demonstrating their practicali...