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1312.7444
Narayan Chakraborty
Mohammad Jabed Morshed Chowdhury and Narayan Ranjan Chakraborty
CAPTCHA Based on Human Cognitive Factor
International Journal of Advanced Computer Science and Applications, 2013
null
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is an automatic security mechanism used to determine whether the user is a human or a malicious computer program. It is a program that generates and grades tests that are human solvable, but intends to be beyond the capabilities of...
[ { "created": "Sat, 28 Dec 2013 15:28:23 GMT", "version": "v1" } ]
2013-12-31
[ [ "Chowdhury", "Mohammad Jabed Morshed", "" ], [ "Chakraborty", "Narayan Ranjan", "" ] ]
A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is an automatic security mechanism used to determine whether the user is a human or a malicious computer program. It is a program that generates and grades tests that are human solvable, but intends to be beyond the capabilities of c...
2308.01262
Michael Gableman
Michael Gableman and Avinash Kak
Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images
18 pages, 17 figures, 10 tables
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a result of Shadow NeRF and Sat-NeRF, it is possible to take the solar angle into account in a NeRF-based framework for rendering a scene from a novel viewpoint using satellite images for training. Our work extends those contributions and shows how one can make the renderings season-specific. Our main challenge wa...
[ { "created": "Wed, 2 Aug 2023 16:30:18 GMT", "version": "v1" }, { "created": "Fri, 15 Dec 2023 16:33:17 GMT", "version": "v2" } ]
2023-12-18
[ [ "Gableman", "Michael", "" ], [ "Kak", "Avinash", "" ] ]
As a result of Shadow NeRF and Sat-NeRF, it is possible to take the solar angle into account in a NeRF-based framework for rendering a scene from a novel viewpoint using satellite images for training. Our work extends those contributions and shows how one can make the renderings season-specific. Our main challenge was ...
2104.08817
Javier Iranzo-S\'anchez
Javier Iranzo-S\'anchez and Jorge Civera and Alfons Juan
Stream-level Latency Evaluation for Simultaneous Machine Translation
EMNLP 2021 Camera Ready
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Simultaneous machine translation has recently gained traction thanks to significant quality improvements and the advent of streaming applications. Simultaneous translation systems need to find a trade-off between translation quality and response time, and with this purpose multiple latency measures have been proposed...
[ { "created": "Sun, 18 Apr 2021 11:16:17 GMT", "version": "v1" }, { "created": "Wed, 8 Sep 2021 11:16:15 GMT", "version": "v2" } ]
2021-09-09
[ [ "Iranzo-Sánchez", "Javier", "" ], [ "Civera", "Jorge", "" ], [ "Juan", "Alfons", "" ] ]
Simultaneous machine translation has recently gained traction thanks to significant quality improvements and the advent of streaming applications. Simultaneous translation systems need to find a trade-off between translation quality and response time, and with this purpose multiple latency measures have been proposed. ...
2101.01298
Pattaraporn Sangaroonsilp
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports
Accepted at Journal of Information and Software Technology
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Context: Digital and physical trails of user activities are collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy has become challenging. With the increase of user privacy awareness and advent of privacy regulations and policies, there is an emerging need...
[ { "created": "Tue, 5 Jan 2021 00:31:19 GMT", "version": "v1" }, { "created": "Mon, 6 Feb 2023 01:19:10 GMT", "version": "v2" } ]
2023-02-07
[ [ "Sangaroonsilp", "Pattaraporn", "" ], [ "Dam", "Hoa Khanh", "" ], [ "Choetkiertikul", "Morakot", "" ], [ "Ragkhitwetsagul", "Chaiyong", "" ], [ "Ghose", "Aditya", "" ] ]
Context: Digital and physical trails of user activities are collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy has become challenging. With the increase of user privacy awareness and advent of privacy regulations and policies, there is an emerging need t...
1902.08726
Zheng Yang
Zheng Yang, Hang Lei, Weizhong Qian
A Hybrid Formal Verification System in Coq for Ensuring the Reliability and Security of Ethereum-based Service Smart Contracts
29 pages, 28 figures, 5 tables
IEEE ACCESS (2020)
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper reports on the development of a formal symbolic process virtual machine (FSPVM) denoted as FSPVM-E for verifying the reliability and security of Ethereum-based services at the source code level of smart contracts, and a Coq proof assistant is employed for both programming the system and for proving its cor...
[ { "created": "Sat, 23 Feb 2019 03:32:06 GMT", "version": "v1" }, { "created": "Sat, 9 Mar 2019 04:49:24 GMT", "version": "v2" }, { "created": "Thu, 23 Jan 2020 04:35:03 GMT", "version": "v3" } ]
2020-01-24
[ [ "Yang", "Zheng", "" ], [ "Lei", "Hang", "" ], [ "Qian", "Weizhong", "" ] ]
This paper reports on the development of a formal symbolic process virtual machine (FSPVM) denoted as FSPVM-E for verifying the reliability and security of Ethereum-based services at the source code level of smart contracts, and a Coq proof assistant is employed for both programming the system and for proving its corre...
1505.02445
Tomaso Aste
Guido Previde Massara, T. Di Matteo, Tomaso Aste
Network Filtering for Big Data: Triangulated Maximally Filtered Graph
16 pages, 7 Figures, 2 Tables
null
null
null
cs.DS cond-mat.stat-mech cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a network-filtering method, the Triangulated Maximally Filtered Graph (TMFG), that provides an approximate solution to the Weighted Maximal Planar Graph problem. The underlying idea of TMFG consists in building a triangulation that maximizes a score function associated with the amount of information retain...
[ { "created": "Sun, 10 May 2015 21:47:38 GMT", "version": "v1" }, { "created": "Tue, 25 Aug 2015 16:02:37 GMT", "version": "v2" } ]
2015-08-26
[ [ "Massara", "Guido Previde", "" ], [ "Di Matteo", "T.", "" ], [ "Aste", "Tomaso", "" ] ]
We propose a network-filtering method, the Triangulated Maximally Filtered Graph (TMFG), that provides an approximate solution to the Weighted Maximal Planar Graph problem. The underlying idea of TMFG consists in building a triangulation that maximizes a score function associated with the amount of information retained...
2002.06851
Diego Antognini
Diego Antognini, Boi Faltings
GameWikiSum: a Novel Large Multi-Document Summarization Dataset
6 pages, 1 figure, 4 tables. Accepted at LREC 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today's research progress in the field of multi-document summarization is obstructed by the small number of available datasets. Since the acquisition of reference summaries is costly, existing datasets contain only hundreds of samples at most, resulting in heavy reliance on hand-crafted features or necessitating addi...
[ { "created": "Mon, 17 Feb 2020 09:25:19 GMT", "version": "v1" } ]
2020-02-18
[ [ "Antognini", "Diego", "" ], [ "Faltings", "Boi", "" ] ]
Today's research progress in the field of multi-document summarization is obstructed by the small number of available datasets. Since the acquisition of reference summaries is costly, existing datasets contain only hundreds of samples at most, resulting in heavy reliance on hand-crafted features or necessitating additi...
2006.07914
Akbar Siami Namin
Moitrayee Chatterjee and Prerit Datta and Faranak Abri and Akbar Siami Namin and Keith S. Jones
Cloud as an Attack Platform
null
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an exploratory study of responses from $75$ security professionals and ethical hackers in order to understand how they abuse cloud platforms for attack purposes. The participants were recruited at the Black Hat and DEF CON conferences. We presented the participants' with various attack scenarios and asked ...
[ { "created": "Sun, 14 Jun 2020 14:32:45 GMT", "version": "v1" } ]
2020-06-16
[ [ "Chatterjee", "Moitrayee", "" ], [ "Datta", "Prerit", "" ], [ "Abri", "Faranak", "" ], [ "Namin", "Akbar Siami", "" ], [ "Jones", "Keith S.", "" ] ]
We present an exploratory study of responses from $75$ security professionals and ethical hackers in order to understand how they abuse cloud platforms for attack purposes. The participants were recruited at the Black Hat and DEF CON conferences. We presented the participants' with various attack scenarios and asked th...
2402.10781
Wonjae Shin
Rohit Singh, Aryan Kaushik, Wonjae Shin, Marco Di Renzo, Vincenzo Sciancalepore, Doohwan Lee, Hirofumi Sasaki, Arman Shojaeifard, and Octavia A. Dobre
Towards 6G Evolution: Three Enhancements, Three Innovations, and Three Major Challenges
8 pages, 4 figures, 1 table
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Over the past few decades, wireless communication has witnessed remarkable growth, experiencing several transformative changes. This article aims to provide a comprehensive overview of wireless communication technologies, from the foundations to the recent wireless advances. Specifically, we take a neutral look at th...
[ { "created": "Fri, 16 Feb 2024 16:04:32 GMT", "version": "v1" } ]
2024-02-19
[ [ "Singh", "Rohit", "" ], [ "Kaushik", "Aryan", "" ], [ "Shin", "Wonjae", "" ], [ "Di Renzo", "Marco", "" ], [ "Sciancalepore", "Vincenzo", "" ], [ "Lee", "Doohwan", "" ], [ "Sasaki", "Hirofumi", "" ], [ ...
Over the past few decades, wireless communication has witnessed remarkable growth, experiencing several transformative changes. This article aims to provide a comprehensive overview of wireless communication technologies, from the foundations to the recent wireless advances. Specifically, we take a neutral look at the ...
2209.01835
Huiyuan Lai
Huiyuan Lai and Malvina Nissim
Multi-Figurative Language Generation
Accepted to COLING 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Figurative language generation is the task of reformulating a given text in the desired figure of speech while still being faithful to the original context. We take the first step towards multi-figurative language modelling by providing a benchmark for the automatic generation of five common figurative forms in Engli...
[ { "created": "Mon, 5 Sep 2022 08:48:09 GMT", "version": "v1" } ]
2022-09-07
[ [ "Lai", "Huiyuan", "" ], [ "Nissim", "Malvina", "" ] ]
Figurative language generation is the task of reformulating a given text in the desired figure of speech while still being faithful to the original context. We take the first step towards multi-figurative language modelling by providing a benchmark for the automatic generation of five common figurative forms in English...
2408.04299
Wei Li
Wan Li, Xinyun Zhong, Wei Li, Song Zhang, Moheng Rong, Yan Xi, Peng Yuan, Zechen Wang, Xiaolei Jiang, Rongxi Yi, Hui Tang, Yang Chen, Chaohui Tong, Zhan Wu, Feng Wang
Respiratory Subtraction for Pulmonary Microwave Ablation Evaluation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Currently, lung cancer is a leading cause of global cancer mortality, often necessitating minimally invasive interventions. Microwave ablation (MWA) is extensively utilized for both primary and secondary lung tumors. Although numerous clinical guidelines and standards for MWA have been established, the clinical evalu...
[ { "created": "Thu, 8 Aug 2024 08:25:38 GMT", "version": "v1" } ]
2024-08-09
[ [ "Li", "Wan", "" ], [ "Zhong", "Xinyun", "" ], [ "Li", "Wei", "" ], [ "Zhang", "Song", "" ], [ "Rong", "Moheng", "" ], [ "Xi", "Yan", "" ], [ "Yuan", "Peng", "" ], [ "Wang", "Zechen", "" ],...
Currently, lung cancer is a leading cause of global cancer mortality, often necessitating minimally invasive interventions. Microwave ablation (MWA) is extensively utilized for both primary and secondary lung tumors. Although numerous clinical guidelines and standards for MWA have been established, the clinical evaluat...
2012.09692
Marc Franco-Salvador
Sanja \v{S}tajner, Seren Yenikent and Marc Franco-Salvador
Five Psycholinguistic Characteristics for Better Interaction with Users
26 pages, 4 figures
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When two people pay attention to each other and are interested in what the other has to say or write, they almost instantly adapt their writing/speaking style to match the other. For a successful interaction with a user, chatbots and dialogue systems should be able to do the same. We propose a framework consisting of...
[ { "created": "Thu, 17 Dec 2020 16:00:08 GMT", "version": "v1" }, { "created": "Fri, 18 Dec 2020 10:43:04 GMT", "version": "v2" }, { "created": "Fri, 8 Jan 2021 10:01:49 GMT", "version": "v3" }, { "created": "Wed, 13 Jan 2021 10:06:15 GMT", "version": "v4" }, { "cr...
2022-03-22
[ [ "Štajner", "Sanja", "" ], [ "Yenikent", "Seren", "" ], [ "Franco-Salvador", "Marc", "" ] ]
When two people pay attention to each other and are interested in what the other has to say or write, they almost instantly adapt their writing/speaking style to match the other. For a successful interaction with a user, chatbots and dialogue systems should be able to do the same. We propose a framework consisting of f...
2306.02361
Ruichun Ma
Ruichun Ma, R. Ivan Zelaya, Wenjun Hu
Softly, Deftly, Scrolls Unfurl Their Splendor: Rolling Flexible Surfaces for Wideband Wireless
null
null
10.1145/3570361.3592520
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
With new frequency bands opening up, emerging wireless IoT devices are capitalizing on an increasingly divergent range of frequencies. However, existing coverage provisioning practice is often tied to specific standards and frequencies. There is little shareable wireless infrastructure for concurrent links on differe...
[ { "created": "Sun, 4 Jun 2023 13:58:07 GMT", "version": "v1" } ]
2023-06-06
[ [ "Ma", "Ruichun", "" ], [ "Zelaya", "R. Ivan", "" ], [ "Hu", "Wenjun", "" ] ]
With new frequency bands opening up, emerging wireless IoT devices are capitalizing on an increasingly divergent range of frequencies. However, existing coverage provisioning practice is often tied to specific standards and frequencies. There is little shareable wireless infrastructure for concurrent links on different...
2205.15952
Ankush Agarwal
Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain
LREC 2022 Main Conference Accepted Paper
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the commercial aviation domain, there are a large number of documents, like, accident reports (NTSB, ASRS) and regulatory directives (ADs). There is a need for a system to access these diverse repositories efficiently in order to service needs in the aviation industry, like maintenance, compliance, and safety. In ...
[ { "created": "Tue, 31 May 2022 16:49:55 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2022 18:50:18 GMT", "version": "v2" } ]
2022-06-13
[ [ "Agarwal", "Ankush", "" ], [ "Gite", "Raj", "" ], [ "Laddha", "Shreya", "" ], [ "Bhattacharyya", "Pushpak", "" ], [ "Kar", "Satyanarayan", "" ], [ "Ekbal", "Asif", "" ], [ "Thind", "Prabhjit", "" ], [ ...
In the commercial aviation domain, there are a large number of documents, like, accident reports (NTSB, ASRS) and regulatory directives (ADs). There is a need for a system to access these diverse repositories efficiently in order to service needs in the aviation industry, like maintenance, compliance, and safety. In th...
1202.6352
Matthias Baaz
Matthias Baaz (Department of Discrete Mathematics and Geometry, TU Vienna), Agata Ciabattoni (Department of Computer Languages, TU Vienna), Christian G Ferm\"uller (Department of Computer Languages, TU Vienna)
Theorem proving for prenex G\"odel logic with Delta: checking validity and unsatisfiability
23 pages, accepted for LMCS (Logical Methods in Computer Science)
Logical Methods in Computer Science, Volume 8, Issue 1 (March 6, 2012) lmcs:833
10.2168/LMCS-8(1:20)2012
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
G\"odel logic with the projection operator Delta (G_Delta) is an important many-valued as well as intermediate logic. In contrast to classical logic, the validity and the satisfiability problems of G_Delta are not directly dual to each other. We nevertheless provide a uniform, computational treatment of both problems...
[ { "created": "Tue, 28 Feb 2012 20:38:20 GMT", "version": "v1" }, { "created": "Mon, 5 Mar 2012 15:58:01 GMT", "version": "v2" } ]
2015-07-01
[ [ "Baaz", "Matthias", "", "Department of Discrete Mathematics and Geometry, TU\n Vienna" ], [ "Ciabattoni", "Agata", "", "Department of Computer Languages, TU Vienna" ], [ "Fermüller", "Christian G", "", "Department of Computer Languages, TU Vienna" ] ]
G\"odel logic with the projection operator Delta (G_Delta) is an important many-valued as well as intermediate logic. In contrast to classical logic, the validity and the satisfiability problems of G_Delta are not directly dual to each other. We nevertheless provide a uniform, computational treatment of both problems f...
2310.14189
Yang Song
Yang Song and Prafulla Dhariwal
Improved Techniques for Training Consistency Models
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consistency models are a nascent family of generative models that can sample high quality data in one step without the need for adversarial training. Current consistency models achieve optimal sample quality by distilling from pre-trained diffusion models and employing learned metrics such as LPIPS. However, distilla...
[ { "created": "Sun, 22 Oct 2023 05:33:38 GMT", "version": "v1" } ]
2023-10-24
[ [ "Song", "Yang", "" ], [ "Dhariwal", "Prafulla", "" ] ]
Consistency models are a nascent family of generative models that can sample high quality data in one step without the need for adversarial training. Current consistency models achieve optimal sample quality by distilling from pre-trained diffusion models and employing learned metrics such as LPIPS. However, distillati...
2002.09554
Ziyuan Liu
Ziyuan Liu, Dongheui Lee, Wolfgang Sepp
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The challenge of markerless human motion tracking is the high dimensionality of the search space. Thus, efficient exploration in the search space is of great significance. In this paper, a motion capturing algorithm is proposed for upper body motion tracking. The proposed system tracks human motion based on monocular...
[ { "created": "Fri, 21 Feb 2020 21:21:58 GMT", "version": "v1" } ]
2020-02-25
[ [ "Liu", "Ziyuan", "" ], [ "Lee", "Dongheui", "" ], [ "Sepp", "Wolfgang", "" ] ]
The challenge of markerless human motion tracking is the high dimensionality of the search space. Thus, efficient exploration in the search space is of great significance. In this paper, a motion capturing algorithm is proposed for upper body motion tracking. The proposed system tracks human motion based on monocular s...
2207.06574
William Mansky
William Mansky
Bringing Iris into the Verified Software Toolchain
21 pages, 4 figures
null
null
null
cs.PL
http://creativecommons.org/licenses/by-nc-sa/4.0/
The Verified Software Toolchain (VST) is a system for proving correctness of C programs using separation logic. By connecting to the verified compiler CompCert, it produces the strongest possible guarantees of correctness for real C code that we can compile and run. VST included concurrency from its inception, in the...
[ { "created": "Thu, 14 Jul 2022 00:34:52 GMT", "version": "v1" }, { "created": "Fri, 15 Jul 2022 15:48:22 GMT", "version": "v2" } ]
2022-07-18
[ [ "Mansky", "William", "" ] ]
The Verified Software Toolchain (VST) is a system for proving correctness of C programs using separation logic. By connecting to the verified compiler CompCert, it produces the strongest possible guarantees of correctness for real C code that we can compile and run. VST included concurrency from its inception, in the f...
1205.1331
Thomas Kesselheim
Thomas Kesselheim
Approximation Algorithms for Wireless Link Scheduling with Flexible Data Rates
null
null
null
null
cs.NI cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider scheduling problems in wireless networks with respect to flexible data rates. That is, more or less data can be transmitted per time depending on the signal quality, which is determined by the signal-to-interference-plus-noise ratio (SINR). Each wireless link has a utility function mapping SINR values to ...
[ { "created": "Mon, 7 May 2012 10:18:24 GMT", "version": "v1" } ]
2012-05-08
[ [ "Kesselheim", "Thomas", "" ] ]
We consider scheduling problems in wireless networks with respect to flexible data rates. That is, more or less data can be transmitted per time depending on the signal quality, which is determined by the signal-to-interference-plus-noise ratio (SINR). Each wireless link has a utility function mapping SINR values to th...
2407.21264
Alimohammad Beigi
Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu and Huan Liu
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
10 pages, 2 figures, accepted at DSAA 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Model attribution for LLM-generated disinformation poses a significant challenge in understanding its origins and mitigating its spread. This task is especially challenging because modern large language models (LLMs) produce disinformation with human-like quality. Additionally, the diversity in prompting methods used...
[ { "created": "Wed, 31 Jul 2024 00:56:09 GMT", "version": "v1" }, { "created": "Wed, 14 Aug 2024 08:10:43 GMT", "version": "v2" } ]
2024-08-15
[ [ "Beigi", "Alimohammad", "" ], [ "Tan", "Zhen", "" ], [ "Mudiam", "Nivedh", "" ], [ "Chen", "Canyu", "" ], [ "Shu", "Kai", "" ], [ "Liu", "Huan", "" ] ]
Model attribution for LLM-generated disinformation poses a significant challenge in understanding its origins and mitigating its spread. This task is especially challenging because modern large language models (LLMs) produce disinformation with human-like quality. Additionally, the diversity in prompting methods used t...
2012.13227
Rahul Bhadani
Rahul Bhadani
Path Planning of Unmanned System using Carrot-chasing Algorithm
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
When an unmanned system is launched for a mission-critical task, it is required to follow a predetermined path. It means the unmanned system requires a path following algorithm for the completion of the mission. Since the predetermined path is typically given by a set of data-points, not only the curvature and deriva...
[ { "created": "Thu, 24 Dec 2020 12:47:37 GMT", "version": "v1" } ]
2020-12-25
[ [ "Bhadani", "Rahul", "" ] ]
When an unmanned system is launched for a mission-critical task, it is required to follow a predetermined path. It means the unmanned system requires a path following algorithm for the completion of the mission. Since the predetermined path is typically given by a set of data-points, not only the curvature and derivati...
2310.01415
Jiageng Mao
Jiageng Mao, Yuxi Qian, Junjie Ye, Hang Zhao, Yue Wang
GPT-Driver: Learning to Drive with GPT
NeurIPS 2023 Foundation Models for Decision Making Workshop
null
null
null
cs.CV cs.AI cs.CL cs.RO
http://creativecommons.org/licenses/by/4.0/
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge in autonomous driving, aiming to plan a driving trajectory that is safe and comfortable. Existing motion planners predominantly leverage he...
[ { "created": "Mon, 2 Oct 2023 17:59:57 GMT", "version": "v1" }, { "created": "Mon, 16 Oct 2023 18:33:10 GMT", "version": "v2" }, { "created": "Tue, 5 Dec 2023 05:26:29 GMT", "version": "v3" } ]
2023-12-06
[ [ "Mao", "Jiageng", "" ], [ "Qian", "Yuxi", "" ], [ "Ye", "Junjie", "" ], [ "Zhao", "Hang", "" ], [ "Wang", "Yue", "" ] ]
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge in autonomous driving, aiming to plan a driving trajectory that is safe and comfortable. Existing motion planners predominantly leverage heur...
1708.03324
Mohammad Dehghani Soltani
Mohammad Dehghani Soltani, Xiping Wu, Majid Safari, and Harald Haas
Bidirectional User Throughput Maximization Based on Feedback Reduction in LiFi Networks
30 pages, 9 figures, submitted to IEEE Transactions on Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel adaptive signalling, which is based on feedback, can result in almost any performance metric enhancement. Unlike the radio frequency (RF) channel, the optical wireless communications (OWCs) channel is fairly static. This feature enables a potential improvement of the bidirectional user throughput by reducing ...
[ { "created": "Thu, 10 Aug 2017 11:06:10 GMT", "version": "v1" } ]
2017-08-14
[ [ "Soltani", "Mohammad Dehghani", "" ], [ "Wu", "Xiping", "" ], [ "Safari", "Majid", "" ], [ "Haas", "Harald", "" ] ]
Channel adaptive signalling, which is based on feedback, can result in almost any performance metric enhancement. Unlike the radio frequency (RF) channel, the optical wireless communications (OWCs) channel is fairly static. This feature enables a potential improvement of the bidirectional user throughput by reducing th...
1911.07418
Dian Ang Yap
Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity
Presented at Bayesian Deep Learning and Workshop on Information Theory and Machine Learning, 33rd Conference on Neural Information ProcessingSystems (NeurIPS 2019), Vancouver, Canada
null
null
null
cs.LG cs.IT math.IT stat.ML
http://creativecommons.org/publicdomain/zero/1.0/
Kernel sparsity ("dying ReLUs") and lack of diversity are commonly observed in CNN kernels, which decreases model capacity. Drawing inspiration from information theory and wireless communications, we demonstrate the intersection of coding theory and deep learning through the Grassmannian subspace packing problem in C...
[ { "created": "Mon, 18 Nov 2019 04:17:06 GMT", "version": "v1" } ]
2019-11-19
[ [ "Yap", "Dian Ang", "" ], [ "Roberts", "Nicholas", "" ], [ "Prabhu", "Vinay Uday", "" ] ]
Kernel sparsity ("dying ReLUs") and lack of diversity are commonly observed in CNN kernels, which decreases model capacity. Drawing inspiration from information theory and wireless communications, we demonstrate the intersection of coding theory and deep learning through the Grassmannian subspace packing problem in CNN...
2103.03700
Alexander Sutherland
A. Sutherland, S. Magg, C. Weber, S. Wermter
Analyzing the Influence of Dataset Composition for Emotion Recognition
2 pages, 2 figures, presented at IROS 2018 Workshop on Language and Robotics
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recognizing emotions from text in multimodal architectures has yielded promising results, surpassing video and audio modalities under certain circumstances. However, the method by which multimodal data is collected can be significant for recognizing emotional features in language. In this paper, we address the influe...
[ { "created": "Fri, 5 Mar 2021 14:20:59 GMT", "version": "v1" } ]
2021-03-08
[ [ "Sutherland", "A.", "" ], [ "Magg", "S.", "" ], [ "Weber", "C.", "" ], [ "Wermter", "S.", "" ] ]
Recognizing emotions from text in multimodal architectures has yielded promising results, surpassing video and audio modalities under certain circumstances. However, the method by which multimodal data is collected can be significant for recognizing emotional features in language. In this paper, we address the influenc...
2309.11177
Qian Zhao
Qian Zhao and Zhengwei Wu and Zhiqiang Zhang and Jun Zhou
Long-tail Augmented Graph Contrastive Learning for Recommendation
17 pages, 6 figures, accepted by ECML/PKDD 2023 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases)
null
null
null
cs.IR cs.AI cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Convolutional Networks (GCNs) has demonstrated promising results for recommender systems, as they can effectively leverage high-order relationship. However, these methods usually encounter data sparsity issue in real-world scenarios. To address this issue, GCN-based recommendation methods employ contrastive lea...
[ { "created": "Wed, 20 Sep 2023 09:57:20 GMT", "version": "v1" } ]
2023-09-21
[ [ "Zhao", "Qian", "" ], [ "Wu", "Zhengwei", "" ], [ "Zhang", "Zhiqiang", "" ], [ "Zhou", "Jun", "" ] ]
Graph Convolutional Networks (GCNs) has demonstrated promising results for recommender systems, as they can effectively leverage high-order relationship. However, these methods usually encounter data sparsity issue in real-world scenarios. To address this issue, GCN-based recommendation methods employ contrastive learn...
2210.16508
Yuhe Guo
Yuhe Guo and Zhewei Wei
Clenshaw Graph Neural Networks
10 pages, 2 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Graph Convolutional Networks (GCNs), which use a message-passing paradigm with stacked convolution layers, are foundational methods for learning graph representations. Recent GCN models use various residual connection techniques to alleviate the model degradation problem such as over-smoothing and gradient vanishing....
[ { "created": "Sat, 29 Oct 2022 06:32:39 GMT", "version": "v1" }, { "created": "Thu, 3 Nov 2022 14:30:56 GMT", "version": "v2" } ]
2022-11-04
[ [ "Guo", "Yuhe", "" ], [ "Wei", "Zhewei", "" ] ]
Graph Convolutional Networks (GCNs), which use a message-passing paradigm with stacked convolution layers, are foundational methods for learning graph representations. Recent GCN models use various residual connection techniques to alleviate the model degradation problem such as over-smoothing and gradient vanishing. E...
1506.00677
Katarzyna Paluch
Pratik Ghosal and Adam Kunysz and Katarzyna Paluch
Characterisation of Strongly Stable Matchings
null
null
null
null
cs.DS cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An instance of a strongly stable matching problem (SSMP) is an undirected bipartite graph $G=(A \cup B, E)$, with an adjacency list of each vertex being a linearly ordered list of ties, which are subsets of vertices equally good for a given vertex. Ties are disjoint and may contain one vertex. A matching $M$ is a set...
[ { "created": "Mon, 1 Jun 2015 21:25:24 GMT", "version": "v1" } ]
2015-06-03
[ [ "Ghosal", "Pratik", "" ], [ "Kunysz", "Adam", "" ], [ "Paluch", "Katarzyna", "" ] ]
An instance of a strongly stable matching problem (SSMP) is an undirected bipartite graph $G=(A \cup B, E)$, with an adjacency list of each vertex being a linearly ordered list of ties, which are subsets of vertices equally good for a given vertex. Ties are disjoint and may contain one vertex. A matching $M$ is a set o...
2305.09477
Uwe Peters
Uwe Peters, Mary Carman
Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies
3 tables, 1 figure
null
null
null
cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
Many ethical frameworks require artificial intelligence (AI) systems to be explainable. Explainable AI (XAI) models are frequently tested for their adequacy in user studies. Since different people may have different explanatory needs, it is important that participant samples in user studies are large enough to repres...
[ { "created": "Mon, 8 May 2023 15:02:21 GMT", "version": "v1" }, { "created": "Sat, 14 Oct 2023 19:20:20 GMT", "version": "v2" } ]
2023-10-17
[ [ "Peters", "Uwe", "" ], [ "Carman", "Mary", "" ] ]
Many ethical frameworks require artificial intelligence (AI) systems to be explainable. Explainable AI (XAI) models are frequently tested for their adequacy in user studies. Since different people may have different explanatory needs, it is important that participant samples in user studies are large enough to represen...
2301.08412
Zhuo Zhao
Zhuo Zhao
Fair Credit Scorer through Bayesian Approach
null
null
null
null
cs.LG cs.CY
http://creativecommons.org/licenses/by/4.0/
Machine learning currently plays an increasingly important role in people's lives in areas such as credit scoring, auto-driving, disease diagnosing, and insurance quoting. However, in many of these areas, machine learning models have performed unfair behaviors against some sub-populations, such as some particular gro...
[ { "created": "Fri, 20 Jan 2023 03:35:03 GMT", "version": "v1" } ]
2023-01-23
[ [ "Zhao", "Zhuo", "" ] ]
Machine learning currently plays an increasingly important role in people's lives in areas such as credit scoring, auto-driving, disease diagnosing, and insurance quoting. However, in many of these areas, machine learning models have performed unfair behaviors against some sub-populations, such as some particular group...
2311.03312
Qitao Zhao
Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
Accepted to NeurIPS 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs performance saturation, intractable computation and the non-causal problem. This can be attributed to the...
[ { "created": "Mon, 6 Nov 2023 18:04:13 GMT", "version": "v1" }, { "created": "Thu, 9 Nov 2023 04:51:34 GMT", "version": "v2" } ]
2023-11-10
[ [ "Zhao", "Qitao", "" ], [ "Zheng", "Ce", "" ], [ "Liu", "Mengyuan", "" ], [ "Chen", "Chen", "" ] ]
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs performance saturation, intractable computation and the non-causal problem. This can be attributed to their...
1909.05233
Ankur Mali
Ankur Mali, Alexander Ororbia, C. Lee Giles
The Neural State Pushdown Automata
10 pages, 7 Table, 1 figure
null
null
null
cs.NE cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
In order to learn complex grammars, recurrent neural networks (RNNs) require sufficient computational resources to ensure correct grammar recognition. A widely-used approach to expand model capacity would be to couple an RNN to an external memory stack. Here, we introduce a "neural state" pushdown automaton (NSPDA), ...
[ { "created": "Sat, 7 Sep 2019 00:32:11 GMT", "version": "v1" }, { "created": "Thu, 19 Sep 2019 20:12:33 GMT", "version": "v2" } ]
2019-09-23
[ [ "Mali", "Ankur", "" ], [ "Ororbia", "Alexander", "" ], [ "Giles", "C. Lee", "" ] ]
In order to learn complex grammars, recurrent neural networks (RNNs) require sufficient computational resources to ensure correct grammar recognition. A widely-used approach to expand model capacity would be to couple an RNN to an external memory stack. Here, we introduce a "neural state" pushdown automaton (NSPDA), wh...
2004.04139
Xi Liang
Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today, data analysts largely rely on intuition to determine whether missing or withheld rows of a dataset significantly affect their analyses. We propose a framework that can produce automatic contingency analysis, i.e., the range of values an aggregate SQL query could take, under formal constraints describing the va...
[ { "created": "Wed, 8 Apr 2020 17:50:18 GMT", "version": "v1" } ]
2020-04-09
[ [ "Liang", "Xi", "" ], [ "Shang", "Zechao", "" ], [ "Elmore", "Aaron J.", "" ], [ "Krishnan", "Sanjay", "" ], [ "Franklin", "Michael J.", "" ] ]
Today, data analysts largely rely on intuition to determine whether missing or withheld rows of a dataset significantly affect their analyses. We propose a framework that can produce automatic contingency analysis, i.e., the range of values an aggregate SQL query could take, under formal constraints describing the vari...
1810.08988
Nora Connor
Nora Connor and Aaron Clauset
Predicting the outcomes of policy diffusion from U.S. states to federal law
null
null
null
null
cs.CY physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the United States, national policies often begin as state laws, which then spread from state to state until they gain momentum to become enacted as a national policy. However, not every state policy reaches the national level. Previous work has suggested that state-level policies are more likely to become national...
[ { "created": "Sun, 21 Oct 2018 16:51:00 GMT", "version": "v1" } ]
2018-10-23
[ [ "Connor", "Nora", "" ], [ "Clauset", "Aaron", "" ] ]
In the United States, national policies often begin as state laws, which then spread from state to state until they gain momentum to become enacted as a national policy. However, not every state policy reaches the national level. Previous work has suggested that state-level policies are more likely to become national p...
cs/0608079
Anna Gilbert
A. C. Gilbert, M. J. Strauss, J. A. Tropp, and R. Vershynin
Algorithmic linear dimension reduction in the l_1 norm for sparse vectors
null
null
null
null
cs.DS
null
This paper develops a new method for recovering m-sparse signals that is simultaneously uniform and quick. We present a reconstruction algorithm whose run time, O(m log^2(m) log^2(d)), is sublinear in the length d of the signal. The reconstruction error is within a logarithmic factor (in m) of the optimal m-term appr...
[ { "created": "Sat, 19 Aug 2006 01:55:14 GMT", "version": "v1" } ]
2007-05-23
[ [ "Gilbert", "A. C.", "" ], [ "Strauss", "M. J.", "" ], [ "Tropp", "J. A.", "" ], [ "Vershynin", "R.", "" ] ]
This paper develops a new method for recovering m-sparse signals that is simultaneously uniform and quick. We present a reconstruction algorithm whose run time, O(m log^2(m) log^2(d)), is sublinear in the length d of the signal. The reconstruction error is within a logarithmic factor (in m) of the optimal m-term approx...
1707.08238
Jieming Mao
Xi Chen, Yuanzhi Li, Jieming Mao
A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model
null
null
null
null
cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the active learning problem of top-$k$ ranking from multi-wise comparisons under the popular multinomial logit model. Our goal is to identify the top-$k$ items with high probability by adaptively querying sets for comparisons and observing the noisy output of the most preferred item from each comparison. To ...
[ { "created": "Tue, 25 Jul 2017 22:03:21 GMT", "version": "v1" }, { "created": "Sun, 30 Jul 2017 14:44:22 GMT", "version": "v2" } ]
2017-08-01
[ [ "Chen", "Xi", "" ], [ "Li", "Yuanzhi", "" ], [ "Mao", "Jieming", "" ] ]
We study the active learning problem of top-$k$ ranking from multi-wise comparisons under the popular multinomial logit model. Our goal is to identify the top-$k$ items with high probability by adaptively querying sets for comparisons and observing the noisy output of the most preferred item from each comparison. To ac...
1501.02825
Sven Bambach
Sven Bambach
A Survey on Recent Advances of Computer Vision Algorithms for Egocentric Video
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent technological advances have made lightweight, head mounted cameras both practical and affordable and products like Google Glass show first approaches to introduce the idea of egocentric (first-person) video to the mainstream. Interestingly, the computer vision community has only recently started to explore thi...
[ { "created": "Mon, 12 Jan 2015 21:14:56 GMT", "version": "v1" } ]
2015-01-14
[ [ "Bambach", "Sven", "" ] ]
Recent technological advances have made lightweight, head mounted cameras both practical and affordable and products like Google Glass show first approaches to introduce the idea of egocentric (first-person) video to the mainstream. Interestingly, the computer vision community has only recently started to explore this ...
2404.09263
Jin Yang
Jin Yang, Ping Wei, Huan Li, Ziyang Ren
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video moment retrieval and highlight detection are two highly valuable tasks in video understanding, but until recently they have been jointly studied. Although existing studies have made impressive advancement recently, they predominantly follow the data-driven bottom-up paradigm. Such paradigm overlooks task-specif...
[ { "created": "Sun, 14 Apr 2024 14:06:42 GMT", "version": "v1" } ]
2024-05-09
[ [ "Yang", "Jin", "" ], [ "Wei", "Ping", "" ], [ "Li", "Huan", "" ], [ "Ren", "Ziyang", "" ] ]
Video moment retrieval and highlight detection are two highly valuable tasks in video understanding, but until recently they have been jointly studied. Although existing studies have made impressive advancement recently, they predominantly follow the data-driven bottom-up paradigm. Such paradigm overlooks task-specific...
1402.1296
Tiago Guerreiro
Ricardo Jo\~ao Silveira Santos Gamboa
Mnemonical Body Shortcuts: Gestural Interface for Mobile Devices
124 pages, MSc Thesis, Technical University of Lisbon
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile devices' user interfaces are still quite similar to traditional interfaces offered by desktop computers, but those can be highly problematic when used in a mobile context. Human gesture recognition in mobile interaction appears as an important area to provide suitable on-the-move usability. We present a body s...
[ { "created": "Thu, 6 Feb 2014 09:54:25 GMT", "version": "v1" } ]
2014-02-07
[ [ "Gamboa", "Ricardo João Silveira Santos", "" ] ]
Mobile devices' user interfaces are still quite similar to traditional interfaces offered by desktop computers, but those can be highly problematic when used in a mobile context. Human gesture recognition in mobile interaction appears as an important area to provide suitable on-the-move usability. We present a body spa...
1807.06397
Ronald de Haan
Ronald de Haan
Expressing Linear Orders Requires Exponential-Size DNNFs
null
null
null
null
cs.CC cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that any DNNF circuit that expresses the set of linear orders over a set of $n$ candidates must be of size $2^{\Omega(n)}$. Moreover, we show that there exist DNNF circuits of size $2^{O(n)}$ expressing linear orders over $n$ candidates.
[ { "created": "Tue, 17 Jul 2018 13:02:55 GMT", "version": "v1" }, { "created": "Wed, 18 Jul 2018 15:45:40 GMT", "version": "v2" }, { "created": "Thu, 30 May 2019 12:15:48 GMT", "version": "v3" } ]
2019-05-31
[ [ "de Haan", "Ronald", "" ] ]
We show that any DNNF circuit that expresses the set of linear orders over a set of $n$ candidates must be of size $2^{\Omega(n)}$. Moreover, we show that there exist DNNF circuits of size $2^{O(n)}$ expressing linear orders over $n$ candidates.
2102.07437
Chengyu Dong
Chengyu Dong, Liyuan Liu, Jingbo Shang
Data Quality Matters For Adversarial Training: An Empirical Study
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple intriguing problems are hovering in adversarial training, including robust overfitting, robustness overestimation, and robustness-accuracy trade-off. These problems pose great challenges to both reliable evaluation and practical deployment. Here, we empirically show that these problems share one common cause...
[ { "created": "Mon, 15 Feb 2021 10:17:24 GMT", "version": "v1" }, { "created": "Thu, 10 Jun 2021 22:33:20 GMT", "version": "v2" }, { "created": "Thu, 7 Oct 2021 01:00:51 GMT", "version": "v3" } ]
2021-10-08
[ [ "Dong", "Chengyu", "" ], [ "Liu", "Liyuan", "" ], [ "Shang", "Jingbo", "" ] ]
Multiple intriguing problems are hovering in adversarial training, including robust overfitting, robustness overestimation, and robustness-accuracy trade-off. These problems pose great challenges to both reliable evaluation and practical deployment. Here, we empirically show that these problems share one common cause -...
1303.1119
Zungeru Adamu Murtala
A.M. Zungeru, L.-M. Ang, K.P. Seng
Termite-hill: From natural to artificial termites in sensor networks
26 pages, 4 figures
A.M. Zungeru, L.-M. Ang, K.P. Seng. Termite-hill: From Natural to Artificial Termites in Sensor Networks, International Journal of Swarm Intelligence Research (IGI-Publishers), vol. 3(4), pp. 1-23, 2012
10.4018/jsir.2012100101
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Termites present a very good natural metaphor to evolutionary computation. While each individuals computational power is small compared to more evolved species, it is the power of their colonies that inspires communication engineers. This paper presents a study of artificial termites in sensor networks for the purpos...
[ { "created": "Tue, 5 Mar 2013 17:58:29 GMT", "version": "v1" } ]
2013-03-06
[ [ "Zungeru", "A. M.", "" ], [ "Ang", "L. -M.", "" ], [ "Seng", "K. P.", "" ] ]
Termites present a very good natural metaphor to evolutionary computation. While each individuals computational power is small compared to more evolved species, it is the power of their colonies that inspires communication engineers. This paper presents a study of artificial termites in sensor networks for the purpose ...
1007.3611
Jaroslaw Byrka
Jaroslaw Byrka and MohammadReza Ghodsi and Aravind Srinivasan
LP-rounding algorithms for facility-location problems
Added funding information
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study LP-rounding approximation algorithms for metric uncapacitated facility-location problems. We first give a new analysis for the algorithm of Chudak and Shmoys, which differs from the analysis of Byrka and Aardal in that now we do not need any bound based on the solution to the dual LP program. Besides obtaini...
[ { "created": "Wed, 21 Jul 2010 10:48:52 GMT", "version": "v1" }, { "created": "Thu, 8 Mar 2012 13:50:59 GMT", "version": "v2" } ]
2012-03-09
[ [ "Byrka", "Jaroslaw", "" ], [ "Ghodsi", "MohammadReza", "" ], [ "Srinivasan", "Aravind", "" ] ]
We study LP-rounding approximation algorithms for metric uncapacitated facility-location problems. We first give a new analysis for the algorithm of Chudak and Shmoys, which differs from the analysis of Byrka and Aardal in that now we do not need any bound based on the solution to the dual LP program. Besides obtaining...
2110.10966
Matthew Howe Mr
Matthew Howe, Ian Reid, Jamie Mackenzie
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
Paper accepted at The 32nd British Machine Vision Conference, BMVC 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Accurate 7DoF prediction of vehicles at an intersection is an important task for assessing potential conflicts between road users. In principle, this could be achieved by a single camera system that is capable of detecting the pose of each vehicle but this would require a large, accurately labelled dataset from which...
[ { "created": "Thu, 21 Oct 2021 08:26:48 GMT", "version": "v1" } ]
2022-11-30
[ [ "Howe", "Matthew", "" ], [ "Reid", "Ian", "" ], [ "Mackenzie", "Jamie", "" ] ]
Accurate 7DoF prediction of vehicles at an intersection is an important task for assessing potential conflicts between road users. In principle, this could be achieved by a single camera system that is capable of detecting the pose of each vehicle but this would require a large, accurately labelled dataset from which t...
2001.03924
Ivan Petrenko
Ivan Petrenko
An improvement of the upper bound for GKS communication game
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The GKS game was formulated by Justin Gilmer, Michal Koucky, and Michael Saks in their research of the sensitivity conjecture. Mario Szegedy invented a protocol for the game with the cost of $O(n^{0.4732})$. Then a protocol with the cost of $O(n^{0.4696})$ was obtained by DeVon Ingram who used a bipartite matching. W...
[ { "created": "Sun, 12 Jan 2020 12:50:23 GMT", "version": "v1" } ]
2020-01-14
[ [ "Petrenko", "Ivan", "" ] ]
The GKS game was formulated by Justin Gilmer, Michal Koucky, and Michael Saks in their research of the sensitivity conjecture. Mario Szegedy invented a protocol for the game with the cost of $O(n^{0.4732})$. Then a protocol with the cost of $O(n^{0.4696})$ was obtained by DeVon Ingram who used a bipartite matching. We ...
1705.11077
Yong Man Ro
Seong Tae Kim, Yong Man Ro
EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
8 pages, 6 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the recent substantial growth of media such as YouTube, a considerable number of instructional videos covering a wide variety of tasks are available online. Therefore, online instructional videos have become a rich resource for humans to learn everyday skills. In order to improve the effectiveness of the learnin...
[ { "created": "Wed, 31 May 2017 13:28:01 GMT", "version": "v1" } ]
2017-06-01
[ [ "Kim", "Seong Tae", "" ], [ "Ro", "Yong Man", "" ] ]
With the recent substantial growth of media such as YouTube, a considerable number of instructional videos covering a wide variety of tasks are available online. Therefore, online instructional videos have become a rich resource for humans to learn everyday skills. In order to improve the effectiveness of the learning ...
1604.04829
Raka Jovanovic
Raka Jovanovic, Tatsushi Nishi, Stefan Voss
A heuristic approach for dividing graphs into bi-connected components with a size constraint
null
null
null
null
cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a new problem of finding the maximal bi-connected partitioning of a graph with a size constraint (MBCPG-SC). With the goal of finding approximate solutions for the MBCPG-SC, a heuristic method is developed based on the open ear decomposition of graphs. Its essential part is an adaptation of t...
[ { "created": "Sun, 17 Apr 2016 05:19:05 GMT", "version": "v1" } ]
2016-04-19
[ [ "Jovanovic", "Raka", "" ], [ "Nishi", "Tatsushi", "" ], [ "Voss", "Stefan", "" ] ]
In this paper we propose a new problem of finding the maximal bi-connected partitioning of a graph with a size constraint (MBCPG-SC). With the goal of finding approximate solutions for the MBCPG-SC, a heuristic method is developed based on the open ear decomposition of graphs. Its essential part is an adaptation of the...
2402.17918
Amin Sarihi
Amin Sarihi, Ahmad Patooghy, Abdel-Hameed A. Badawy, Peter Jamieson
The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
null
null
null
null
cs.CR cs.AR cs.LG
http://creativecommons.org/licenses/by/4.0/
This work focuses on advancing security research in the hardware design space by formally defining the realistic problem of Hardware Trojan (HT) detection. The goal is to model HT detection more closely to the real world, i.e., describing the problem as "The Seeker's Dilemma" (an extension of Hide&Seek on a graph), w...
[ { "created": "Tue, 27 Feb 2024 22:14:01 GMT", "version": "v1" } ]
2024-02-29
[ [ "Sarihi", "Amin", "" ], [ "Patooghy", "Ahmad", "" ], [ "Badawy", "Abdel-Hameed A.", "" ], [ "Jamieson", "Peter", "" ] ]
This work focuses on advancing security research in the hardware design space by formally defining the realistic problem of Hardware Trojan (HT) detection. The goal is to model HT detection more closely to the real world, i.e., describing the problem as "The Seeker's Dilemma" (an extension of Hide&Seek on a graph), whe...
2211.06929
Carlos Purves
Carlos Purves, Pietro Li\`o and C\u{a}t\u{a}lina Cangea
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning has seen increasing applications in real-world contexts over the past few years. However, physical environments are often imperfect and policies that perform well in simulation might not achieve the same performance when applied elsewhere. A common approach to combat this is to train agents in ...
[ { "created": "Sun, 13 Nov 2022 15:40:01 GMT", "version": "v1" } ]
2022-11-15
[ [ "Purves", "Carlos", "" ], [ "Liò", "Pietro", "" ], [ "Cangea", "Cătălina", "" ] ]
Reinforcement learning has seen increasing applications in real-world contexts over the past few years. However, physical environments are often imperfect and policies that perform well in simulation might not achieve the same performance when applied elsewhere. A common approach to combat this is to train agents in th...
1209.5803
Boyu Li
Boyu Li and Ender Ayanoglu
Full-Diversity Precoding Design of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequency Division Multiplexing
accepted to journal. arXiv admin note: text overlap with arXiv:1109.3510
IEEE TCOM, Vol. 61, No. 6, Pages 2432-2445, Jun. 2013
10.1109/TCOMM.2013.041113.120688
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-Input Multi-Output (MIMO) techniques have been incorporated with Orthogonal Frequency Division Multiplexing (OFDM) for broadband wireless communication systems. Bit-Interleaved Coded Multiple Beamforming (BICMB) can achieve both spatial diversity and spatial multiplexing for flat fading MIMO channels. For frequ...
[ { "created": "Wed, 26 Sep 2012 01:03:58 GMT", "version": "v1" }, { "created": "Sun, 30 Jun 2013 21:37:04 GMT", "version": "v2" } ]
2013-07-02
[ [ "Li", "Boyu", "" ], [ "Ayanoglu", "Ender", "" ] ]
Multi-Input Multi-Output (MIMO) techniques have been incorporated with Orthogonal Frequency Division Multiplexing (OFDM) for broadband wireless communication systems. Bit-Interleaved Coded Multiple Beamforming (BICMB) can achieve both spatial diversity and spatial multiplexing for flat fading MIMO channels. For frequen...
1407.0699
Nasr Mohamed
Nasr Mohamed
Enumeration of Spanning Trees Using Edge Exchange with Minimal Partitioning
Master Thesis
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this thesis, Minimal Partitioning (MP) algorithm, an innovative algorithm for enumerating all the spanning trees in an undirected graph is presented. While MP algorithm uses a computational tree graph to traverse all possible spanning trees by the edge exchange technique, it has two unique properties compared to...
[ { "created": "Wed, 2 Jul 2014 17:15:28 GMT", "version": "v1" } ]
2014-07-04
[ [ "Mohamed", "Nasr", "" ] ]
In this thesis, Minimal Partitioning (MP) algorithm, an innovative algorithm for enumerating all the spanning trees in an undirected graph is presented. While MP algorithm uses a computational tree graph to traverse all possible spanning trees by the edge exchange technique, it has two unique properties compared to pre...
2208.07591
Subhankar Roy
Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin
Uncertainty-guided Source-free Domain Adaptation
ECCV 2022
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Source-free domain adaptation (SFDA) aims to adapt a classifier to an unlabelled target data set by only using a pre-trained source model. However, the absence of the source data and the domain shift makes the predictions on the target data unreliable. We propose quantifying the uncertainty in the source model predic...
[ { "created": "Tue, 16 Aug 2022 08:03:30 GMT", "version": "v1" } ]
2022-08-17
[ [ "Roy", "Subhankar", "" ], [ "Trapp", "Martin", "" ], [ "Pilzer", "Andrea", "" ], [ "Kannala", "Juho", "" ], [ "Sebe", "Nicu", "" ], [ "Ricci", "Elisa", "" ], [ "Solin", "Arno", "" ] ]
Source-free domain adaptation (SFDA) aims to adapt a classifier to an unlabelled target data set by only using a pre-trained source model. However, the absence of the source data and the domain shift makes the predictions on the target data unreliable. We propose quantifying the uncertainty in the source model predicti...
1301.1704
Qi Hu
Qi Hu, Nail A. Gumerov, Ramani Duraiswami
Parallel Algorithms for Constructing Data Structures for Fast Multipole Methods
null
null
null
null
cs.MS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present efficient algorithms to build data structures and the lists needed for fast multipole methods. The algorithms are capable of being efficiently implemented on both serial, data parallel GPU and on distributed architectures. With these algorithms it is possible to map the FMM efficiently on to the GPU or dis...
[ { "created": "Tue, 8 Jan 2013 21:57:20 GMT", "version": "v1" } ]
2013-01-10
[ [ "Hu", "Qi", "" ], [ "Gumerov", "Nail A.", "" ], [ "Duraiswami", "Ramani", "" ] ]
We present efficient algorithms to build data structures and the lists needed for fast multipole methods. The algorithms are capable of being efficiently implemented on both serial, data parallel GPU and on distributed architectures. With these algorithms it is possible to map the FMM efficiently on to the GPU or distr...
2307.05973
Wenlong Huang
Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
null
null
null
null
cs.RO cs.AI cs.CL cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the progress, most still rely on pre-defined motion primitives to carry out the physical interactions with the environment, which remains a maj...
[ { "created": "Wed, 12 Jul 2023 07:40:48 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2023 06:53:37 GMT", "version": "v2" } ]
2023-11-03
[ [ "Huang", "Wenlong", "" ], [ "Wang", "Chen", "" ], [ "Zhang", "Ruohan", "" ], [ "Li", "Yunzhu", "" ], [ "Wu", "Jiajun", "" ], [ "Fei-Fei", "Li", "" ] ]
Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the progress, most still rely on pre-defined motion primitives to carry out the physical interactions with the environment, which remains a major...
2105.09050
Jia-Chen Gu
Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
Accepted by SIGIR 2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Persona can function as the prior knowledge for maintaining the consistency of dialogue systems. Most of previous studies adopted the self persona in dialogue whose response was about to be selected from a set of candidates or directly generated, but few have noticed the role of partner in dialogue. This paper makes ...
[ { "created": "Wed, 19 May 2021 10:32:30 GMT", "version": "v1" }, { "created": "Fri, 21 May 2021 02:43:50 GMT", "version": "v2" } ]
2021-05-24
[ [ "Gu", "Jia-Chen", "" ], [ "Liu", "Hui", "" ], [ "Ling", "Zhen-Hua", "" ], [ "Liu", "Quan", "" ], [ "Chen", "Zhigang", "" ], [ "Zhu", "Xiaodan", "" ] ]
Persona can function as the prior knowledge for maintaining the consistency of dialogue systems. Most of previous studies adopted the self persona in dialogue whose response was about to be selected from a set of candidates or directly generated, but few have noticed the role of partner in dialogue. This paper makes an...
2204.13243
Sharon Levy
Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
Findings of ACL 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A pressing challenge in current dialogue systems is to successfully converse with users on topics with information distributed across different modalities. Previous work in multiturn dialogue systems has primarily focused on either text or table information. In more realistic scenarios, having a joint understanding o...
[ { "created": "Thu, 28 Apr 2022 00:52:16 GMT", "version": "v1" } ]
2022-04-29
[ [ "Nakamura", "Kai", "" ], [ "Levy", "Sharon", "" ], [ "Tuan", "Yi-Lin", "" ], [ "Chen", "Wenhu", "" ], [ "Wang", "William Yang", "" ] ]
A pressing challenge in current dialogue systems is to successfully converse with users on topics with information distributed across different modalities. Previous work in multiturn dialogue systems has primarily focused on either text or table information. In more realistic scenarios, having a joint understanding of ...
2203.00833
Tsingsong Zhao
Qingsong Zhao, Yi Wang, Shuguang Dou, Chen Gong, Yin Wang, Cairong Zhao
Adaptive Discriminative Regularization for Visual Classification
We submit it to a Journal this time
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class similarity, whether by constructing positive and negative pairs for contrastive learning or posing tighter class separating margins. These ...
[ { "created": "Wed, 2 Mar 2022 02:52:23 GMT", "version": "v1" }, { "created": "Tue, 3 Jan 2023 09:53:02 GMT", "version": "v2" }, { "created": "Wed, 11 Jan 2023 14:06:36 GMT", "version": "v3" } ]
2023-01-12
[ [ "Zhao", "Qingsong", "" ], [ "Wang", "Yi", "" ], [ "Dou", "Shuguang", "" ], [ "Gong", "Chen", "" ], [ "Wang", "Yin", "" ], [ "Zhao", "Cairong", "" ] ]
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class similarity, whether by constructing positive and negative pairs for contrastive learning or posing tighter class separating margins. These me...
2407.09966
Mei Qiu
Mei Qiu, Lauren Ann Christopher, Lingxi Li, Stanley Chien, Yaobin Chen
Optimizing ROI Benefits Vehicle ReID in ITS
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-sa/4.0/
Vehicle re-identification (ReID) is a computer vision task that matches the same vehicle across different cameras or viewpoints in a surveillance system. This is crucial for Intelligent Transportation Systems (ITS), where the effectiveness is influenced by the regions from which vehicle images are cropped. This study...
[ { "created": "Sat, 13 Jul 2024 18:15:06 GMT", "version": "v1" } ]
2024-07-16
[ [ "Qiu", "Mei", "" ], [ "Christopher", "Lauren Ann", "" ], [ "Li", "Lingxi", "" ], [ "Chien", "Stanley", "" ], [ "Chen", "Yaobin", "" ] ]
Vehicle re-identification (ReID) is a computer vision task that matches the same vehicle across different cameras or viewpoints in a surveillance system. This is crucial for Intelligent Transportation Systems (ITS), where the effectiveness is influenced by the regions from which vehicle images are cropped. This study e...
cs/0607038
Benoit Donnet
Benoit Donnet, Bruno Baynat, Timur Friedman
Retouched Bloom Filters: Allowing Networked Applications to Flexibly Trade Off False Positives Against False Negatives
This is a new version of the technical reports with improved algorithms and theorical analysis of algorithms
null
null
null
cs.NI
null
Where distributed agents must share voluminous set membership information, Bloom filters provide a compact, though lossy, way for them to do so. Numerous recent networking papers have examined the trade-offs between the bandwidth consumed by the transmission of Bloom filters, and the error rate, which takes the form ...
[ { "created": "Sun, 9 Jul 2006 10:40:26 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2006 13:52:04 GMT", "version": "v2" } ]
2007-05-23
[ [ "Donnet", "Benoit", "" ], [ "Baynat", "Bruno", "" ], [ "Friedman", "Timur", "" ] ]
Where distributed agents must share voluminous set membership information, Bloom filters provide a compact, though lossy, way for them to do so. Numerous recent networking papers have examined the trade-offs between the bandwidth consumed by the transmission of Bloom filters, and the error rate, which takes the form of...
2003.09120
Piotr Kulicki
Xin Sun, Piotr Kulicki, Mirek Sopek
Multi-party Quantum Byzantine Agreement Without Entanglement
6 pages, 1 figure
null
10.3390/e22101152
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a protocol of quantum communication to achieve Byzantine agreement among multiple parties. The striking feature of our proposal in comparison to the existing protocols is that we do not use entanglement to achieve the agreement. There are two stages in our protocol. In the first stage, a list...
[ { "created": "Fri, 20 Mar 2020 06:26:44 GMT", "version": "v1" } ]
2020-12-02
[ [ "Sun", "Xin", "" ], [ "Kulicki", "Piotr", "" ], [ "Sopek", "Mirek", "" ] ]
In this paper we propose a protocol of quantum communication to achieve Byzantine agreement among multiple parties. The striking feature of our proposal in comparison to the existing protocols is that we do not use entanglement to achieve the agreement. There are two stages in our protocol. In the first stage, a list o...
2108.05595
Thorben Werner
Thorben Werner
Reinforcement Learning Approach to Active Learning for Image Classification
Master Thesis
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Machine Learning requires large amounts of labeled data to fit a model. Many datasets are already publicly available, nevertheless forcing application possibilities of machine learning to the domains of those public datasets. The ever-growing penetration of machine learning algorithms in new application areas require...
[ { "created": "Thu, 12 Aug 2021 08:34:02 GMT", "version": "v1" } ]
2021-08-13
[ [ "Werner", "Thorben", "" ] ]
Machine Learning requires large amounts of labeled data to fit a model. Many datasets are already publicly available, nevertheless forcing application possibilities of machine learning to the domains of those public datasets. The ever-growing penetration of machine learning algorithms in new application areas requires ...
1903.09463
Thorsten Wissmann
Robert Furber and Radu Mardare and Matteo Mio
Probabilistic logics based on Riesz spaces
null
Logical Methods in Computer Science, Volume 16, Issue 1 (January 27, 2020) lmcs:5306
10.23638/LMCS-16(1:6)2020
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We introduce a novel real-valued endogenous logic for expressing properties of probabilistic transition systems called Riesz modal logic. The design of the syntax and semantics of this logic is directly inspired by the theory of Riesz spaces, a mature field of mathematics at the intersection of universal algebra and ...
[ { "created": "Fri, 22 Mar 2019 12:02:21 GMT", "version": "v1" }, { "created": "Fri, 27 Dec 2019 12:13:19 GMT", "version": "v2" }, { "created": "Fri, 24 Jan 2020 12:31:27 GMT", "version": "v3" } ]
2023-06-22
[ [ "Furber", "Robert", "" ], [ "Mardare", "Radu", "" ], [ "Mio", "Matteo", "" ] ]
We introduce a novel real-valued endogenous logic for expressing properties of probabilistic transition systems called Riesz modal logic. The design of the syntax and semantics of this logic is directly inspired by the theory of Riesz spaces, a mature field of mathematics at the intersection of universal algebra and fu...
1704.08388
Ted Pedersen
Ted Pedersen
Duluth at Semeval-2017 Task 7 : Puns upon a midnight dreary, Lexical Semantics for the weak and weary
5 pages, to Appear in the Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), August 2017, Vancouver, BC
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes the Duluth systems that participated in SemEval-2017 Task 7 : Detection and Interpretation of English Puns. The Duluth systems participated in all three subtasks, and relied on methods that included word sense disambiguation and measures of semantic relatedness.
[ { "created": "Thu, 27 Apr 2017 00:29:17 GMT", "version": "v1" }, { "created": "Fri, 28 Apr 2017 01:16:07 GMT", "version": "v2" } ]
2017-05-01
[ [ "Pedersen", "Ted", "" ] ]
This paper describes the Duluth systems that participated in SemEval-2017 Task 7 : Detection and Interpretation of English Puns. The Duluth systems participated in all three subtasks, and relied on methods that included word sense disambiguation and measures of semantic relatedness.
2310.04703
Chung-Soo Ahn
Chung-Soo Ahn, Jagath C. Rajapakse and Rajib Rana
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation
null
null
null
null
cs.CL cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While speech emotion recognition (SER) research has made significant progress, achieving generalization across various corpora continues to pose a problem. We propose a novel domain adaptation technique that embodies a multitask framework with SER as the primary task, and contrastive learning and information maximisa...
[ { "created": "Sat, 7 Oct 2023 06:41:29 GMT", "version": "v1" } ]
2023-10-10
[ [ "Ahn", "Chung-Soo", "" ], [ "Rajapakse", "Jagath C.", "" ], [ "Rana", "Rajib", "" ] ]
While speech emotion recognition (SER) research has made significant progress, achieving generalization across various corpora continues to pose a problem. We propose a novel domain adaptation technique that embodies a multitask framework with SER as the primary task, and contrastive learning and information maximisati...
2011.13594
Andreas Buchberger
Andreas Buchberger, Christian H\"ager, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
Pruning and Quantizing Neural Belief Propagation Decoders
Accepted for publication in IEEE Journal on Selected Areas in Communications (J-SAC)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider near maximum-likelihood (ML) decoding of short linear block codes. In particular, we propose a novel decoding approach based on neural belief propagation (NBP) decoding recently introduced by Nachmani et al. in which we allow a different parity-check matrix in each iteration of the algorithm. The key idea...
[ { "created": "Fri, 27 Nov 2020 07:50:31 GMT", "version": "v1" } ]
2020-11-30
[ [ "Buchberger", "Andreas", "" ], [ "Häger", "Christian", "" ], [ "Pfister", "Henry D.", "" ], [ "Schmalen", "Laurent", "" ], [ "Amat", "Alexandre Graell i", "" ] ]
We consider near maximum-likelihood (ML) decoding of short linear block codes. In particular, we propose a novel decoding approach based on neural belief propagation (NBP) decoding recently introduced by Nachmani et al. in which we allow a different parity-check matrix in each iteration of the algorithm. The key idea i...
1702.03257
Sandip Chakraborty
Raja Karmakar and Sandip Chakraborty and Samiran Chattopadhyay
Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements over Transport/Application Layer Protocols - A Survey
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the inception of Wireless Local Area Networks (WLANs) in the year 1997, it has tremendously grown in the last few years. IEEE 802.11 is popularly known as WLAN. To provide the last mile wireless broadband connectivity to users, IEEE 802.11 is enriched with IEEE 802.11a, IEEE 802.11b and IEEE 802.11g. More recen...
[ { "created": "Fri, 10 Feb 2017 17:25:48 GMT", "version": "v1" } ]
2017-02-13
[ [ "Karmakar", "Raja", "" ], [ "Chakraborty", "Sandip", "" ], [ "Chattopadhyay", "Samiran", "" ] ]
Since the inception of Wireless Local Area Networks (WLANs) in the year 1997, it has tremendously grown in the last few years. IEEE 802.11 is popularly known as WLAN. To provide the last mile wireless broadband connectivity to users, IEEE 802.11 is enriched with IEEE 802.11a, IEEE 802.11b and IEEE 802.11g. More recentl...
2103.03170
Ruixu Liu
Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan K. Asari
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic design (from 2D to 3D) for how conventional networks and other forms of constraints can be incorporated into the attention framework for learni...
[ { "created": "Thu, 4 Mar 2021 17:26:51 GMT", "version": "v1" } ]
2021-03-05
[ [ "Liu", "Ruixu", "" ], [ "Shen", "Ju", "" ], [ "Wang", "He", "" ], [ "Chen", "Chen", "" ], [ "Cheung", "Sen-ching", "" ], [ "Asari", "Vijayan K.", "" ] ]
The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic design (from 2D to 3D) for how conventional networks and other forms of constraints can be incorporated into the attention framework for learning...
2401.05334
Zhaoxi Chen
Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo, Chen Cao, Stanislav Pidhorskyi, Tomas Simon, Rohan Joshi, Yuan Dong, Yichen Xu, Bernardo Pires, He Wen, Lucas Evans, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Shoou-I Yu, Javier Romero, Michael Zollh\"ofer, Yaser Sheikh, Ziwei Liu, Shuns...
URHand: Universal Relightable Hands
Project Page https://frozenburning.github.io/projects/urhand/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing photorealistic relightable hand models require extensive identity-specific observations in different views, poses, and illuminations, and face challenges in generalizing to natural illuminations and novel identities. To bridge this gap, we present URHand, the first universal relightable hand model that gener...
[ { "created": "Wed, 10 Jan 2024 18:59:51 GMT", "version": "v1" } ]
2024-01-11
[ [ "Chen", "Zhaoxi", "" ], [ "Moon", "Gyeongsik", "" ], [ "Guo", "Kaiwen", "" ], [ "Cao", "Chen", "" ], [ "Pidhorskyi", "Stanislav", "" ], [ "Simon", "Tomas", "" ], [ "Joshi", "Rohan", "" ], [ "Dong", ...
Existing photorealistic relightable hand models require extensive identity-specific observations in different views, poses, and illuminations, and face challenges in generalizing to natural illuminations and novel identities. To bridge this gap, we present URHand, the first universal relightable hand model that general...
2209.12755
Zhengchun Zhou
Zhifan Ye, Zhengchun Zhou, Zilong Liu, Xiaohu Tang, Pingzhi Fan
New Spectrally Constrained Sequence Sets with Optimal {Periodic} Cross-Correlation
to appear in IEEE Transactions on Information Theory
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spectrally constrained sequences (SCSs) play an important role in modern communication and radar systems operating over non-contiguous spectrum. Despite numerous research attempts over the past years, very few works are known on the constructions of optimal SCSs with low cross-correlations. In this paper, we address ...
[ { "created": "Mon, 26 Sep 2022 15:03:32 GMT", "version": "v1" } ]
2022-09-27
[ [ "Ye", "Zhifan", "" ], [ "Zhou", "Zhengchun", "" ], [ "Liu", "Zilong", "" ], [ "Tang", "Xiaohu", "" ], [ "Fan", "Pingzhi", "" ] ]
Spectrally constrained sequences (SCSs) play an important role in modern communication and radar systems operating over non-contiguous spectrum. Despite numerous research attempts over the past years, very few works are known on the constructions of optimal SCSs with low cross-correlations. In this paper, we address su...
2103.10699
Aleksandr Petiushko
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
MDMMT: Multidomain Multimodal Transformer for Video Retrieval
null
CVPR Workshops 2021: 3354-3363
10.1109/CVPRW53098.2021.00374
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new state-of-the-art on the text to video retrieval task on MSRVTT and LSMDC benchmarks where our model outperforms all previous solutions by a large margin. Moreover, state-of-the-art results are achieved with a single model on two datasets without finetuning. This multidomain generalisation is achieved...
[ { "created": "Fri, 19 Mar 2021 09:16:39 GMT", "version": "v1" } ]
2021-11-09
[ [ "Dzabraev", "Maksim", "" ], [ "Kalashnikov", "Maksim", "" ], [ "Komkov", "Stepan", "" ], [ "Petiushko", "Aleksandr", "" ] ]
We present a new state-of-the-art on the text to video retrieval task on MSRVTT and LSMDC benchmarks where our model outperforms all previous solutions by a large margin. Moreover, state-of-the-art results are achieved with a single model on two datasets without finetuning. This multidomain generalisation is achieved b...
2101.02305
Maryam Motamedi
Maryam Motamedi, Jessica Dawson, Na Li, Douglas G. Down, and Nancy M. Heddle
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
null
null
null
pone.0297391
cs.LG stat.AP stat.ML
http://creativecommons.org/licenses/by/4.0/
Platelet products are both expensive and have very short shelf lives. As usage rates for platelets are highly variable, the effective management of platelet demand and supply is very important yet challenging. The primary goal of this paper is to present an efficient forecasting model for platelet demand at Canadian ...
[ { "created": "Wed, 6 Jan 2021 23:54:10 GMT", "version": "v1" }, { "created": "Fri, 23 Dec 2022 22:18:47 GMT", "version": "v2" } ]
2024-04-30
[ [ "Motamedi", "Maryam", "" ], [ "Dawson", "Jessica", "" ], [ "Li", "Na", "" ], [ "Down", "Douglas G.", "" ], [ "Heddle", "Nancy M.", "" ] ]
Platelet products are both expensive and have very short shelf lives. As usage rates for platelets are highly variable, the effective management of platelet demand and supply is very important yet challenging. The primary goal of this paper is to present an efficient forecasting model for platelet demand at Canadian Bl...
2104.01782
Ishani Mondal
Ishani Mondal
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
To appear in NAACL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Healthcare predictive analytics aids medical decision-making, diagnosis prediction and drug review analysis. Therefore, prediction accuracy is an important criteria which also necessitates robust predictive language models. However, the models using deep learning have been proven vulnerable towards insignificantly pe...
[ { "created": "Mon, 5 Apr 2021 05:32:56 GMT", "version": "v1" } ]
2021-04-06
[ [ "Mondal", "Ishani", "" ] ]
Healthcare predictive analytics aids medical decision-making, diagnosis prediction and drug review analysis. Therefore, prediction accuracy is an important criteria which also necessitates robust predictive language models. However, the models using deep learning have been proven vulnerable towards insignificantly pert...
2303.07564
Hanyu Zhou
Hanyu Zhou, Yi Chang, Wending Yan, Luxin Yan
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optical flow has achieved great success under clean scenes, but suffers from restricted performance under foggy scenes. To bridge the clean-to-foggy domain gap, the existing methods typically adopt the domain adaptation to transfer the motion knowledge from clean to synthetic foggy domain. However, these methods unex...
[ { "created": "Tue, 14 Mar 2023 01:10:59 GMT", "version": "v1" }, { "created": "Mon, 20 Mar 2023 13:28:36 GMT", "version": "v2" } ]
2023-03-21
[ [ "Zhou", "Hanyu", "" ], [ "Chang", "Yi", "" ], [ "Yan", "Wending", "" ], [ "Yan", "Luxin", "" ] ]
Optical flow has achieved great success under clean scenes, but suffers from restricted performance under foggy scenes. To bridge the clean-to-foggy domain gap, the existing methods typically adopt the domain adaptation to transfer the motion knowledge from clean to synthetic foggy domain. However, these methods unexpe...
1809.06972
David Yoon
David J. Yoon, Tim Y. Tang and Timothy D. Barfoot
Mapless Online Detection of Dynamic Objects in 3D Lidar
7 pages, 8 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a model-free, setting-independent method for online detection of dynamic objects in 3D lidar data. We explicitly compensate for the moving-while-scanning operation (motion distortion) of present-day 3D spinning lidar sensors. Our detection method uses a motion-compensated freespace querying algori...
[ { "created": "Wed, 19 Sep 2018 00:49:25 GMT", "version": "v1" } ]
2018-09-20
[ [ "Yoon", "David J.", "" ], [ "Tang", "Tim Y.", "" ], [ "Barfoot", "Timothy D.", "" ] ]
This paper presents a model-free, setting-independent method for online detection of dynamic objects in 3D lidar data. We explicitly compensate for the moving-while-scanning operation (motion distortion) of present-day 3D spinning lidar sensors. Our detection method uses a motion-compensated freespace querying algorith...
2408.05649
Blessing Agyei Kyem
Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Kenneth Adomako Tutu, Armstrong Aboah
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Road infrastructure maintenance in developing countries faces unique challenges due to resource constraints and diverse environmental factors. This study addresses the critical need for efficient, accurate, and locally-relevant pavement distress detection methods in these regions. We present a novel deep learning app...
[ { "created": "Sat, 10 Aug 2024 23:20:36 GMT", "version": "v1" } ]
2024-08-13
[ [ "Kyem", "Blessing Agyei", "" ], [ "Denteh", "Eugene Kofi Okrah", "" ], [ "Asamoah", "Joshua Kofi", "" ], [ "Tutu", "Kenneth Adomako", "" ], [ "Aboah", "Armstrong", "" ] ]
Road infrastructure maintenance in developing countries faces unique challenges due to resource constraints and diverse environmental factors. This study addresses the critical need for efficient, accurate, and locally-relevant pavement distress detection methods in these regions. We present a novel deep learning appro...
1805.01890
Kamran Kowsari
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
RMDL: Random Multimodel Deep Learning for Classification
Best Paper award ACM ICISDM
null
10.1145/3206098.3206111
null
cs.LG cs.AI cs.CV cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The continually increasing number of complex datasets each year necessitates ever improving machine learning methods for robust and accurate categorization of these data. This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification. Deep learning models have ...
[ { "created": "Thu, 3 May 2018 19:36:43 GMT", "version": "v1" }, { "created": "Thu, 31 May 2018 16:08:33 GMT", "version": "v2" } ]
2018-06-01
[ [ "Kowsari", "Kamran", "" ], [ "Heidarysafa", "Mojtaba", "" ], [ "Brown", "Donald E.", "" ], [ "Meimandi", "Kiana Jafari", "" ], [ "Barnes", "Laura E.", "" ] ]
The continually increasing number of complex datasets each year necessitates ever improving machine learning methods for robust and accurate categorization of these data. This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification. Deep learning models have ac...
2108.02585
Linda Kleist
Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow
Geometric Embeddability of Complexes is $\exists \mathbb R$-complete
26 pages, 18 figures
null
null
null
cs.CC cs.CG cs.DM math.CO math.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the decision problem of determining whether a given (abstract simplicial) $k$-complex has a geometric embedding in $\mathbb R^d$ is complete for the Existential Theory of the Reals for all $d\geq 3$ and $k\in\{d-1,d\}$. This implies that the problem is polynomial time equivalent to determining whether a ...
[ { "created": "Thu, 5 Aug 2021 12:48:06 GMT", "version": "v1" }, { "created": "Fri, 5 Nov 2021 11:12:44 GMT", "version": "v2" } ]
2021-11-08
[ [ "Abrahamsen", "Mikkel", "" ], [ "Kleist", "Linda", "" ], [ "Miltzow", "Tillmann", "" ] ]
We show that the decision problem of determining whether a given (abstract simplicial) $k$-complex has a geometric embedding in $\mathbb R^d$ is complete for the Existential Theory of the Reals for all $d\geq 3$ and $k\in\{d-1,d\}$. This implies that the problem is polynomial time equivalent to determining whether a po...
2402.09232
Cristian Urbina
Gonzalo Navarro and Cristian Urbina
Iterated Straight-Line Programs
This version of the article includes the proofs omitted from LATIN24
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore an extension to straight-line programs (SLPs) that outperforms, for some text families, the measure $\delta$ based on substring complexity, a lower bound for most measures and compressors exploiting repetitiveness (which are crucial in areas like Bioinformatics). The extension, called iterated SLPs (ISLPs)...
[ { "created": "Wed, 14 Feb 2024 15:21:37 GMT", "version": "v1" }, { "created": "Thu, 15 Feb 2024 09:21:39 GMT", "version": "v2" } ]
2024-02-16
[ [ "Navarro", "Gonzalo", "" ], [ "Urbina", "Cristian", "" ] ]
We explore an extension to straight-line programs (SLPs) that outperforms, for some text families, the measure $\delta$ based on substring complexity, a lower bound for most measures and compressors exploiting repetitiveness (which are crucial in areas like Bioinformatics). The extension, called iterated SLPs (ISLPs), ...
2403.01693
Supreeth Narasimhaswamy
Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Revisions: 1. Added a link to project page in the abstract, 2. Updated references and related work, 3. Fixed some grammatical errors
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Text-to-image generative models can generate high-quality humans, but realism is lost when generating hands. Common artifacts include irregular hand poses, shapes, incorrect numbers of fingers, and physically implausible finger orientations. To generate images with realistic hands, we propose a novel diffusion-based ...
[ { "created": "Mon, 4 Mar 2024 03:00:22 GMT", "version": "v1" }, { "created": "Mon, 22 Apr 2024 03:53:51 GMT", "version": "v2" } ]
2024-04-23
[ [ "Narasimhaswamy", "Supreeth", "" ], [ "Bhattacharya", "Uttaran", "" ], [ "Chen", "Xiang", "" ], [ "Dasgupta", "Ishita", "" ], [ "Mitra", "Saayan", "" ], [ "Hoai", "Minh", "" ] ]
Text-to-image generative models can generate high-quality humans, but realism is lost when generating hands. Common artifacts include irregular hand poses, shapes, incorrect numbers of fingers, and physically implausible finger orientations. To generate images with realistic hands, we propose a novel diffusion-based ar...
2407.17425
Solomia Fedushko
Ivan Khoma, Solomia Fedushko, and Zoryana Kunch
Media Manipulations in the Coverage of Events of the Ukrainian Revolution of Dignity: Historical, Linguistic, and Psychological Approaches
14 pages
null
null
null
cs.CY cs.CL
http://creativecommons.org/licenses/by/4.0/
This article examines the use of manipulation in the coverage of events of the Ukrainian Revolution of Dignity in the mass media, namely in the content of the online newspaper Ukrainian Truth (Ukrainska pravda), online newspaper High Castle (Vysokyi Zamok), and online newspaper ZIK during the public protest, namely d...
[ { "created": "Tue, 9 Jul 2024 09:46:27 GMT", "version": "v1" } ]
2024-07-25
[ [ "Khoma", "Ivan", "" ], [ "Fedushko", "Solomia", "" ], [ "Kunch", "Zoryana", "" ] ]
This article examines the use of manipulation in the coverage of events of the Ukrainian Revolution of Dignity in the mass media, namely in the content of the online newspaper Ukrainian Truth (Ukrainska pravda), online newspaper High Castle (Vysokyi Zamok), and online newspaper ZIK during the public protest, namely dur...
2211.12318
Michael Mislove
Jason Z. S. Hu, Brigitte Pientka
A Categorical Normalization Proof for the Modal Lambda-Calculus
null
Electronic Notes in Theoretical Informatics and Computer Science, Volume 1 - Proceedings of MFPS XXXVIII (February 22, 2023) entics:10360
10.46298/entics.10360
null
cs.PL cs.LO
http://creativecommons.org/licenses/by/4.0/
We investigate a simply typed modal $\lambda$-calculus, $\lambda^{\to\square}$, due to Pfenning, Wong and Davies, where we define a well-typed term with respect to a context stack that captures the possible world semantics in a syntactic way. It provides logical foundation for multi-staged meta-programming. Our main ...
[ { "created": "Tue, 22 Nov 2022 15:12:17 GMT", "version": "v1" }, { "created": "Sun, 5 Feb 2023 23:30:32 GMT", "version": "v2" }, { "created": "Wed, 15 Feb 2023 21:35:16 GMT", "version": "v3" }, { "created": "Mon, 20 Feb 2023 16:10:06 GMT", "version": "v4" } ]
2023-06-22
[ [ "Hu", "Jason Z. S.", "" ], [ "Pientka", "Brigitte", "" ] ]
We investigate a simply typed modal $\lambda$-calculus, $\lambda^{\to\square}$, due to Pfenning, Wong and Davies, where we define a well-typed term with respect to a context stack that captures the possible world semantics in a syntactic way. It provides logical foundation for multi-staged meta-programming. Our main co...
1702.02012
Tanushri Chakravorty
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
Tracking using Numerous Anchor points
Revised text version. Accepted for publication in Journal of Machine Vision and Applications, December, 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, an online adaptive model-free tracker is proposed to track single objects in video sequences to deal with real-world tracking challenges like low-resolution, object deformation, occlusion and motion blur. The novelty lies in the construction of a strong appearance model that captures features from the ...
[ { "created": "Tue, 7 Feb 2017 13:51:06 GMT", "version": "v1" }, { "created": "Sun, 10 Dec 2017 21:31:28 GMT", "version": "v2" } ]
2017-12-12
[ [ "Chakravorty", "Tanushri", "" ], [ "Bilodeau", "Guillaume-Alexandre", "" ], [ "Granger", "Eric", "" ] ]
In this paper, an online adaptive model-free tracker is proposed to track single objects in video sequences to deal with real-world tracking challenges like low-resolution, object deformation, occlusion and motion blur. The novelty lies in the construction of a strong appearance model that captures features from the in...
1909.02496
Ping Li
Hang Zhang, Martin Slawski, Ping Li
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors
null
null
null
null
cs.IT cs.LG math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In "Unlabeled Sensing", one observes a set of linear measurements of an underlying signal with incomplete or missing information about their ordering, which can be modeled in terms of an unknown permutation. Previous work on the case of a single noisy measurement vector has exposed two main challenges: 1) a high requ...
[ { "created": "Thu, 5 Sep 2019 15:55:59 GMT", "version": "v1" }, { "created": "Sat, 11 Jul 2020 05:49:06 GMT", "version": "v2" } ]
2020-07-14
[ [ "Zhang", "Hang", "" ], [ "Slawski", "Martin", "" ], [ "Li", "Ping", "" ] ]
In "Unlabeled Sensing", one observes a set of linear measurements of an underlying signal with incomplete or missing information about their ordering, which can be modeled in terms of an unknown permutation. Previous work on the case of a single noisy measurement vector has exposed two main challenges: 1) a high requir...
2402.01444
Esther Rolf
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
15 pages, 5 figures
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Satellite data has the potential to inspire a seismic shift for machine learning -- one in which we rethink existing practices designed for traditional data modalities. As machine learning for satellite data (SatML) gains traction for its real-world impact, our field is at a crossroads. We can either continue applyin...
[ { "created": "Fri, 2 Feb 2024 14:36:50 GMT", "version": "v1" } ]
2024-02-05
[ [ "Rolf", "Esther", "" ], [ "Klemmer", "Konstantin", "" ], [ "Robinson", "Caleb", "" ], [ "Kerner", "Hannah", "" ] ]
Satellite data has the potential to inspire a seismic shift for machine learning -- one in which we rethink existing practices designed for traditional data modalities. As machine learning for satellite data (SatML) gains traction for its real-world impact, our field is at a crossroads. We can either continue applying ...
2212.07407
Karl Pertsch
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
Cross-Domain Transfer via Semantic Skill Imitation
Project website: https://kpertsch.github.io/star
CoRL 2022
null
null
cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
We propose an approach for semantic imitation, which uses demonstrations from a source domain, e.g. human videos, to accelerate reinforcement learning (RL) in a different target domain, e.g. a robotic manipulator in a simulated kitchen. Instead of imitating low-level actions like joint velocities, our approach imitat...
[ { "created": "Wed, 14 Dec 2022 18:46:14 GMT", "version": "v1" } ]
2022-12-15
[ [ "Pertsch", "Karl", "" ], [ "Desai", "Ruta", "" ], [ "Kumar", "Vikash", "" ], [ "Meier", "Franziska", "" ], [ "Lim", "Joseph J.", "" ], [ "Batra", "Dhruv", "" ], [ "Rai", "Akshara", "" ] ]
We propose an approach for semantic imitation, which uses demonstrations from a source domain, e.g. human videos, to accelerate reinforcement learning (RL) in a different target domain, e.g. a robotic manipulator in a simulated kitchen. Instead of imitating low-level actions like joint velocities, our approach imitates...
1509.08560
EPTCS
Luca Bortolussi (Saarland University, University of Trieste, ISTI-CNR), Rocco De Nicola (IMT Lucca), Vashti Galpin (University of Edinburgh), Stephen Gilmore (University of Edinburgh), Jane Hillston (University of Edinburgh), Diego Latella (ISTI-CNR), Michele Loreti (Universit\`a di Firenze, IMT Lucca), Mieke M...
CARMA: Collective Adaptive Resource-sharing Markovian Agents
In Proceedings QAPL 2015, arXiv:1509.08169
EPTCS 194, 2015, pp. 16-31
10.4204/EPTCS.194.2
null
cs.PL cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present CARMA, a language recently defined to support specification and analysis of collective adaptive systems. CARMA is a stochastic process algebra equipped with linguistic constructs specifically developed for modelling and programming systems that can operate in open-ended and unpredictable envi...
[ { "created": "Tue, 29 Sep 2015 02:10:19 GMT", "version": "v1" } ]
2015-09-30
[ [ "Bortolussi", "Luca", "", "Saarland University, University of Trieste,\n ISTI-CNR" ], [ "De Nicola", "Rocco", "", "IMT Lucca" ], [ "Galpin", "Vashti", "", "University of\n Edinburgh" ], [ "Gilmore", "Stephen", "", "University of Edinbur...
In this paper we present CARMA, a language recently defined to support specification and analysis of collective adaptive systems. CARMA is a stochastic process algebra equipped with linguistic constructs specifically developed for modelling and programming systems that can operate in open-ended and unpredictable enviro...
1207.1411
Finnegan Southey
Finnegan Southey, Michael P. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, Chris Rayner
Bayes' Bluff: Opponent Modelling in Poker
Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)
null
null
UAI-P-2005-PG-550-558
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Poker is a challenging problem for artificial intelligence, with non-deterministic dynamics, partial observability, and the added difficulty of unknown adversaries. Modelling all of the uncertainties in this domain is not an easy task. In this paper we present a Bayesian probabilistic model for a broad class of poker...
[ { "created": "Wed, 4 Jul 2012 16:22:47 GMT", "version": "v1" } ]
2012-07-09
[ [ "Southey", "Finnegan", "" ], [ "Bowling", "Michael P.", "" ], [ "Larson", "Bryce", "" ], [ "Piccione", "Carmelo", "" ], [ "Burch", "Neil", "" ], [ "Billings", "Darse", "" ], [ "Rayner", "Chris", "" ] ]
Poker is a challenging problem for artificial intelligence, with non-deterministic dynamics, partial observability, and the added difficulty of unknown adversaries. Modelling all of the uncertainties in this domain is not an easy task. In this paper we present a Bayesian probabilistic model for a broad class of poker g...
2212.11414
Armin Zirak
Armin Zirak and Hadi Hemmati
Improving Automated Program Repair with Domain Adaptation
43 pages
null
null
null
cs.SE cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Automated Program Repair (APR) is defined as the process of fixing a bug/defect in the source code, by an automated tool. APR tools have recently experienced promising results by leveraging state-of-the-art Neural Language Processing (NLP) techniques. APR tools such as TFix and CodeXGLUE combine text-to-text transfor...
[ { "created": "Wed, 21 Dec 2022 23:52:09 GMT", "version": "v1" } ]
2023-01-13
[ [ "Zirak", "Armin", "" ], [ "Hemmati", "Hadi", "" ] ]
Automated Program Repair (APR) is defined as the process of fixing a bug/defect in the source code, by an automated tool. APR tools have recently experienced promising results by leveraging state-of-the-art Neural Language Processing (NLP) techniques. APR tools such as TFix and CodeXGLUE combine text-to-text transforme...
1001.5100
Xiwang Cao
Xiwang Cao and Lei Hu
On Exponential Sums, Nowton identities and Dickson Polynomials over Finite Fields
18 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $\mathbb{F}_{q}$ be a finite field, $\mathbb{F}_{q^s}$ be an extension of $\mathbb{F}_q$, let $f(x)\in \mathbb{F}_q[x]$ be a polynomial of degree $n$ with $\gcd(n,q)=1$. We present a recursive formula for evaluating the exponential sum $\sum_{c\in \mathbb{F}_{q^s}}\chi^{(s)}(f(x))$. Let $a$ and $b$ be two element...
[ { "created": "Thu, 28 Jan 2010 04:50:32 GMT", "version": "v1" } ]
2010-01-29
[ [ "Cao", "Xiwang", "" ], [ "Hu", "Lei", "" ] ]
Let $\mathbb{F}_{q}$ be a finite field, $\mathbb{F}_{q^s}$ be an extension of $\mathbb{F}_q$, let $f(x)\in \mathbb{F}_q[x]$ be a polynomial of degree $n$ with $\gcd(n,q)=1$. We present a recursive formula for evaluating the exponential sum $\sum_{c\in \mathbb{F}_{q^s}}\chi^{(s)}(f(x))$. Let $a$ and $b$ be two elements ...
1805.09302
Safa Cicek
Safa Cicek and Stefano Soatto
Input and Weight Space Smoothing for Semi-supervised Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose regularizing the empirical loss for semi-supervised learning by acting on both the input (data) space, and the weight (parameter) space. We show that the two are not equivalent, and in fact are complementary, one affecting the minimality of the resulting representation, the other insensitivity to nuisance ...
[ { "created": "Wed, 23 May 2018 17:39:38 GMT", "version": "v1" } ]
2018-05-24
[ [ "Cicek", "Safa", "" ], [ "Soatto", "Stefano", "" ] ]
We propose regularizing the empirical loss for semi-supervised learning by acting on both the input (data) space, and the weight (parameter) space. We show that the two are not equivalent, and in fact are complementary, one affecting the minimality of the resulting representation, the other insensitivity to nuisance va...
cs/0312056
Christian Duncan
Christian A. Duncan (University of Miami), David Eppstein (University of California, Irvine), Stephen G. Kobourov (University of Arizona)
The Geometric Thickness of Low Degree Graphs
10 pages, 7 figures, submitted to SoCG 2004
null
null
null
cs.CG cs.DM
null
We prove that the geometric thickness of graphs whose maximum degree is no more than four is two. All of our algorithms run in O(n) time, where n is the number of vertices in the graph. In our proofs, we present an embedding algorithm for graphs with maximum degree three that uses an n x n grid and a more complex alg...
[ { "created": "Wed, 24 Dec 2003 06:59:09 GMT", "version": "v1" } ]
2007-05-23
[ [ "Duncan", "Christian A.", "", "University of Miami" ], [ "Eppstein", "David", "", "University\n of California, Irvine" ], [ "Kobourov", "Stephen G.", "", "University of Arizona" ] ]
We prove that the geometric thickness of graphs whose maximum degree is no more than four is two. All of our algorithms run in O(n) time, where n is the number of vertices in the graph. In our proofs, we present an embedding algorithm for graphs with maximum degree three that uses an n x n grid and a more complex algor...
2302.09173
Lajanugen Logeswaran
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
Unsupervised Task Graph Generation from Instructional Video Transcripts
Findings of ACL 2023
null
null
null
cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work explores the problem of generating task graphs of real-world activities. Different from prior formulations, we consider a setting where text transcripts of instructional videos performing a real-world activity (e.g., making coffee) are provided and the goal is to identify the key steps relevant to the task ...
[ { "created": "Fri, 17 Feb 2023 22:50:08 GMT", "version": "v1" }, { "created": "Tue, 2 May 2023 19:46:14 GMT", "version": "v2" } ]
2023-05-04
[ [ "Logeswaran", "Lajanugen", "" ], [ "Sohn", "Sungryull", "" ], [ "Jang", "Yunseok", "" ], [ "Lee", "Moontae", "" ], [ "Lee", "Honglak", "" ] ]
This work explores the problem of generating task graphs of real-world activities. Different from prior formulations, we consider a setting where text transcripts of instructional videos performing a real-world activity (e.g., making coffee) are provided and the goal is to identify the key steps relevant to the task as...
2310.16191
Zhuolin Yang
Zhuolin Yang, Zain Sarwar, Iris Hwang, Ronik Bhaskar, Ben Y. Zhao, Haitao Zheng
Can Virtual Reality Protect Users from Keystroke Inference Attacks?
Accepted by USENIX 2024
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Virtual Reality (VR) has gained popularity by providing immersive and interactive experiences without geographical limitations. It also provides a sense of personal privacy through physical separation. In this paper, we show that despite assumptions of enhanced privacy, VR is unable to shield its users from side-chan...
[ { "created": "Tue, 24 Oct 2023 21:19:38 GMT", "version": "v1" } ]
2023-10-26
[ [ "Yang", "Zhuolin", "" ], [ "Sarwar", "Zain", "" ], [ "Hwang", "Iris", "" ], [ "Bhaskar", "Ronik", "" ], [ "Zhao", "Ben Y.", "" ], [ "Zheng", "Haitao", "" ] ]
Virtual Reality (VR) has gained popularity by providing immersive and interactive experiences without geographical limitations. It also provides a sense of personal privacy through physical separation. In this paper, we show that despite assumptions of enhanced privacy, VR is unable to shield its users from side-channe...
1712.06763
Fl\'avio Miyazawa
Y. Kohayakawa, F. K. Miyazawa, Y. Wakabayashi
A tight lower bound for an online hypercube packing problem and bounds for prices of anarchy of a related game
null
Discrete Mathematics and Theoretical Computer Science, 23(3), 2021
10.46298/dmtcs.8325
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove a tight lower bound on the asymptotic performance ratio $\rho$ of the bounded space online $d$-hypercube bin packing problem, solving an open question raised in 2005. In the classic $d$-hypercube bin packing problem, we are given a sequence of $d$-dimensional hypercubes and we have an unlimited number of bin...
[ { "created": "Tue, 19 Dec 2017 03:15:14 GMT", "version": "v1" } ]
2023-04-11
[ [ "Kohayakawa", "Y.", "" ], [ "Miyazawa", "F. K.", "" ], [ "Wakabayashi", "Y.", "" ] ]
We prove a tight lower bound on the asymptotic performance ratio $\rho$ of the bounded space online $d$-hypercube bin packing problem, solving an open question raised in 2005. In the classic $d$-hypercube bin packing problem, we are given a sequence of $d$-dimensional hypercubes and we have an unlimited number of bins,...
0912.2479
VishalGoyal
Vishal Goyal
Pervasive Emotions in Pervasive Computing Environments
This submission has been withdrawn by arXiv admin. It is a verbatim copy of arXiv:0912.1810 with only the author name and title changed
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This submission has been withdrawn by arXiv admin. It is a verbatim copy of arXiv:0912.1810 with only the author name and title changed.
[ { "created": "Sun, 13 Dec 2009 06:10:42 GMT", "version": "v1" }, { "created": "Tue, 12 Jan 2010 15:20:14 GMT", "version": "v2" } ]
2010-01-12
[ [ "Goyal", "Vishal", "" ] ]
This submission has been withdrawn by arXiv admin. It is a verbatim copy of arXiv:0912.1810 with only the author name and title changed.
1409.0706
Shiyan Zhong
Shiyan Zhong
Efficient Scheme for Active Particle Selection in N-body Simulations
8 pages, 4 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an efficient method for active particle selection, working with Hermite Individual Time Steps (HITS) scheme in direct N-body simulation code $\varphi$GRAPE. For a simulation with $N$ particles, this method can reduce the computation complexity of active particle selection, from $O(N\cdot N_{step})$ to $O(\...
[ { "created": "Tue, 2 Sep 2014 13:46:06 GMT", "version": "v1" }, { "created": "Sat, 13 Sep 2014 07:02:14 GMT", "version": "v2" } ]
2014-09-16
[ [ "Zhong", "Shiyan", "" ] ]
We propose an efficient method for active particle selection, working with Hermite Individual Time Steps (HITS) scheme in direct N-body simulation code $\varphi$GRAPE. For a simulation with $N$ particles, this method can reduce the computation complexity of active particle selection, from $O(N\cdot N_{step})$ to $O(\ov...
1809.00069
Mingbo Ma
Liang Huang and Kai Zhao and Mingbo Ma
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
accepted by EMNLP 2017
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In neural text generation such as neural machine translation, summarization, and image captioning, beam search is widely used to improve the output text quality. However, in the neural generation setting, hypotheses can finish in different steps, which makes it difficult to decide when to end beam search to ensure op...
[ { "created": "Fri, 31 Aug 2018 22:01:48 GMT", "version": "v1" } ]
2018-09-05
[ [ "Huang", "Liang", "" ], [ "Zhao", "Kai", "" ], [ "Ma", "Mingbo", "" ] ]
In neural text generation such as neural machine translation, summarization, and image captioning, beam search is widely used to improve the output text quality. However, in the neural generation setting, hypotheses can finish in different steps, which makes it difficult to decide when to end beam search to ensure opti...
2004.02501
Jinshan Pan
Jinshan Pan, Haoran Bai, Jinhui Tang
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
CVPR 2020. The code is available at https://github.com/csbhr/CDVD-TSP
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a simple and effective deep convolutional neural network (CNN) model for video deblurring. The proposed algorithm mainly consists of optical flow estimation from intermediate latent frames and latent frame restoration steps. It first develops a deep CNN model to estimate optical flow from intermediate late...
[ { "created": "Mon, 6 Apr 2020 09:13:49 GMT", "version": "v1" } ]
2020-04-07
[ [ "Pan", "Jinshan", "" ], [ "Bai", "Haoran", "" ], [ "Tang", "Jinhui", "" ] ]
We present a simple and effective deep convolutional neural network (CNN) model for video deblurring. The proposed algorithm mainly consists of optical flow estimation from intermediate latent frames and latent frame restoration steps. It first develops a deep CNN model to estimate optical flow from intermediate latent...
2204.00858
Kunal Mittal
Uma Girish, Kunal Mittal, Ran Raz, Wei Zhan
Polynomial Bounds On Parallel Repetition For All 3-Player Games With Binary Inputs
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that for every 3-player (3-prover) game $\mathcal G$ with value less than one, whose query distribution has the support $\mathcal S = \{(1,0,0), (0,1,0), (0,0,1)\}$ of hamming weight one vectors, the value of the $n$-fold parallel repetition $\mathcal G^{\otimes n}$ decays polynomially fast to zero; that is,...
[ { "created": "Sat, 2 Apr 2022 13:37:49 GMT", "version": "v1" } ]
2022-04-05
[ [ "Girish", "Uma", "" ], [ "Mittal", "Kunal", "" ], [ "Raz", "Ran", "" ], [ "Zhan", "Wei", "" ] ]
We prove that for every 3-player (3-prover) game $\mathcal G$ with value less than one, whose query distribution has the support $\mathcal S = \{(1,0,0), (0,1,0), (0,0,1)\}$ of hamming weight one vectors, the value of the $n$-fold parallel repetition $\mathcal G^{\otimes n}$ decays polynomially fast to zero; that is, t...
2011.09257
Pablo Pino
Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe
Inspecting state of the art performance and NLP metrics in image-based medical report generation
3 pages, 1 figure, 1 table. Accepted in LatinX in AI workshop at NeurIPS 2020. (v3 updated ack)
null
null
null
cs.CL cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input. Most works evaluate the generated reports using standard Natural Language Processing (NLP) metrics (e.g. BLEU, ROUGE), reporting significant progress. In t...
[ { "created": "Wed, 18 Nov 2020 13:09:12 GMT", "version": "v1" }, { "created": "Sat, 21 Nov 2020 17:58:40 GMT", "version": "v2" }, { "created": "Sat, 15 Jan 2022 06:05:51 GMT", "version": "v3" } ]
2022-01-19
[ [ "Pino", "Pablo", "" ], [ "Parra", "Denis", "" ], [ "Messina", "Pablo", "" ], [ "Besa", "Cecilia", "" ], [ "Uribe", "Sergio", "" ] ]
Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input. Most works evaluate the generated reports using standard Natural Language Processing (NLP) metrics (e.g. BLEU, ROUGE), reporting significant progress. In thi...