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1910.03742
Tan Nguyen
Tan Nguyen, Nan Ye, Peter L. Bartlett
Greedy Convex Ensemble
Replace the previous version with the camera ready version accepted for IJCAI 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider learning a convex combination of basis models, and present some new theoretical and empirical results that demonstrate the effectiveness of a greedy approach. Theoretically, we first consider whether we can use linear, instead of convex, combinations, and obtain generalization results similar to existing ...
[ { "created": "Wed, 9 Oct 2019 01:41:56 GMT", "version": "v1" }, { "created": "Sun, 3 May 2020 04:18:52 GMT", "version": "v2" } ]
2020-05-05
[ [ "Nguyen", "Tan", "" ], [ "Ye", "Nan", "" ], [ "Bartlett", "Peter L.", "" ] ]
We consider learning a convex combination of basis models, and present some new theoretical and empirical results that demonstrate the effectiveness of a greedy approach. Theoretically, we first consider whether we can use linear, instead of convex, combinations, and obtain generalization results similar to existing on...
2104.14202
Javier Rodriguez-Puigvert
Javier Rodr\'iguez-Puigvert, Rub\'en Mart\'inez-Cant\'in, Javier Civera
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth
null
null
null
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
Uncertainty quantification is essential for robotic perception, as overconfident or point estimators can lead to collisions and damages to the environment and the robot. In this paper, we evaluate scalable approaches to uncertainty quantification in single-view supervised depth learning, specifically MC dropout and d...
[ { "created": "Thu, 29 Apr 2021 08:45:24 GMT", "version": "v1" }, { "created": "Tue, 14 Sep 2021 09:13:29 GMT", "version": "v2" }, { "created": "Wed, 15 Dec 2021 13:02:45 GMT", "version": "v3" } ]
2021-12-16
[ [ "Rodríguez-Puigvert", "Javier", "" ], [ "Martínez-Cantín", "Rubén", "" ], [ "Civera", "Javier", "" ] ]
Uncertainty quantification is essential for robotic perception, as overconfident or point estimators can lead to collisions and damages to the environment and the robot. In this paper, we evaluate scalable approaches to uncertainty quantification in single-view supervised depth learning, specifically MC dropout and dee...
1712.07003
Ronan Fablet
Ronan Fablet, Said Ouala, Cedric Herzet
Bilinear residual Neural Network for the identification and forecasting of dynamical systems
Submitted
null
null
null
cs.LG eess.SP physics.data-an
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the increasing availability of large-scale observation and simulation datasets, data-driven representations arise as efficient and relevant computation representations of dynamical systems for a wide range of applications, where model-driven models based on ordinary differential equation remain the state-of-th...
[ { "created": "Tue, 19 Dec 2017 15:42:40 GMT", "version": "v1" } ]
2017-12-20
[ [ "Fablet", "Ronan", "" ], [ "Ouala", "Said", "" ], [ "Herzet", "Cedric", "" ] ]
Due to the increasing availability of large-scale observation and simulation datasets, data-driven representations arise as efficient and relevant computation representations of dynamical systems for a wide range of applications, where model-driven models based on ordinary differential equation remain the state-of-the-...
2406.07716
Sm Shaqib
Md. Mahmudul Hasan, SM Shaqib, Ms. Sharmin Akter, Rabiul Alam, Afraz Ul Haque, Shahrun akter khushbu
Unleashing the Power of Transfer Learning Model for Sophisticated Insect Detection: Revolutionizing Insect Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system seeks to identify hazardous insects early and accurately. This would enable promp...
[ { "created": "Tue, 11 Jun 2024 20:52:42 GMT", "version": "v1" } ]
2024-06-13
[ [ "Hasan", "Md. Mahmudul", "" ], [ "Shaqib", "SM", "" ], [ "Akter", "Ms. Sharmin", "" ], [ "Alam", "Rabiul", "" ], [ "Haque", "Afraz Ul", "" ], [ "khushbu", "Shahrun akter", "" ] ]
The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system seeks to identify hazardous insects early and accurately. This would enable prompt ...
2401.10150
Changgu Chen
Changgu Chen, Junwei Shu, Lianggangxu Chen, Gaoqi He, Changbo Wang and Yang Li
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
Preprint
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent large-scale pre-trained diffusion models have demonstrated a powerful generative ability to produce high-quality videos from detailed text descriptions. However, exerting control over the motion of objects in videos generated by any video diffusion model is a challenging problem. In this paper, we propose a no...
[ { "created": "Thu, 18 Jan 2024 17:22:37 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2024 04:27:05 GMT", "version": "v2" }, { "created": "Mon, 22 Jan 2024 02:40:52 GMT", "version": "v3" } ]
2024-01-23
[ [ "Chen", "Changgu", "" ], [ "Shu", "Junwei", "" ], [ "Chen", "Lianggangxu", "" ], [ "He", "Gaoqi", "" ], [ "Wang", "Changbo", "" ], [ "Li", "Yang", "" ] ]
Recent large-scale pre-trained diffusion models have demonstrated a powerful generative ability to produce high-quality videos from detailed text descriptions. However, exerting control over the motion of objects in videos generated by any video diffusion model is a challenging problem. In this paper, we propose a nove...
1305.1459
Pier Stanislao Paolucci
Pier Stanislao Paolucci, Iuliana Bacivarov, Gert Goossens, Rainer Leupers, Fr\'ed\'eric Rousseau, Christoph Schumacher, Lothar Thiele, Piero Vicini
EURETILE 2010-2012 summary: first three years of activity of the European Reference Tiled Experiment
56 pages
null
10.12837/2013T01
null
cs.DC cs.AR cs.NE cs.OS cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This is the summary of first three years of activity of the EURETILE FP7 project 247846. EURETILE investigates and implements brain-inspired and fault-tolerant foundational innovations to the system architecture of massively parallel tiled computer architectures and the corresponding programming paradigm. The executi...
[ { "created": "Tue, 7 May 2013 10:22:31 GMT", "version": "v1" } ]
2013-06-24
[ [ "Paolucci", "Pier Stanislao", "" ], [ "Bacivarov", "Iuliana", "" ], [ "Goossens", "Gert", "" ], [ "Leupers", "Rainer", "" ], [ "Rousseau", "Frédéric", "" ], [ "Schumacher", "Christoph", "" ], [ "Thiele", "Lotha...
This is the summary of first three years of activity of the EURETILE FP7 project 247846. EURETILE investigates and implements brain-inspired and fault-tolerant foundational innovations to the system architecture of massively parallel tiled computer architectures and the corresponding programming paradigm. The execution...
2208.03541
Pino Caballero-Gil
V Mora-Afonso, Pino Caballero-Gil, Jezabel Molina-Gil
Strong authentication on smart wireless devices
null
Second International Conference on Future Generation Communication Technologies (FGCT 2013), pp. 137-142,
10.1109/FGCT.2013.6767206
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
The rapid deployment of wireless technologies has given rise to the current situation where mobile phones and other wireless devices have become essential elements in all types of activities, including in the home. In particular, smartphones and laptops are used for wirelessly sharing photos and documents, playing ga...
[ { "created": "Sat, 6 Aug 2022 16:42:39 GMT", "version": "v1" } ]
2022-08-09
[ [ "Mora-Afonso", "V", "" ], [ "Caballero-Gil", "Pino", "" ], [ "Molina-Gil", "Jezabel", "" ] ]
The rapid deployment of wireless technologies has given rise to the current situation where mobile phones and other wireless devices have become essential elements in all types of activities, including in the home. In particular, smartphones and laptops are used for wirelessly sharing photos and documents, playing game...
2109.09415
Claudio Cicconetti
Claudio Cicconetti and Marco Conti and Andrea Passarella
Architecture and Performance Evaluation of Distributed Computation Offloading in Edge Computing
null
Simulation Modelling Practice and Theory. Volume 101, May 2020, 102007
10.1016/j.simpat.2019.102007
null
cs.DC cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Edge computing is an emerging paradigm to enable low-latency applications, like mobile augmented reality, because it takes the computation on processing devices that are closer to the users. On the other hand, the need for highly scalable execution of stateless tasks for cloud systems is driving the definition of new...
[ { "created": "Mon, 20 Sep 2021 10:31:32 GMT", "version": "v1" } ]
2021-09-21
[ [ "Cicconetti", "Claudio", "" ], [ "Conti", "Marco", "" ], [ "Passarella", "Andrea", "" ] ]
Edge computing is an emerging paradigm to enable low-latency applications, like mobile augmented reality, because it takes the computation on processing devices that are closer to the users. On the other hand, the need for highly scalable execution of stateless tasks for cloud systems is driving the definition of new t...
2404.14246
Adam Janovsky
Adam Janovsky, {\L}ukasz Chmielewski, Petr Svenda, Jan Jancar, Vashek Matyas
Chain of trust: Unraveling references among Common Criteria certified products
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
With 5394 security certificates of IT products and systems, the Common Criteria for Information Technology Security Evaluation have bred an ecosystem entangled with various kind of relations between the certified products. Yet, the prevalence and nature of dependencies among Common Criteria certified products remains...
[ { "created": "Mon, 22 Apr 2024 14:59:35 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2024 06:13:15 GMT", "version": "v2" } ]
2024-04-26
[ [ "Janovsky", "Adam", "" ], [ "Chmielewski", "Łukasz", "" ], [ "Svenda", "Petr", "" ], [ "Jancar", "Jan", "" ], [ "Matyas", "Vashek", "" ] ]
With 5394 security certificates of IT products and systems, the Common Criteria for Information Technology Security Evaluation have bred an ecosystem entangled with various kind of relations between the certified products. Yet, the prevalence and nature of dependencies among Common Criteria certified products remains l...
2408.05636
Jacob Christopher
Jacob K Christopher, Brian R Bartoldson, Bhavya Kailkhura, Ferdinando Fioretto
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Speculative decoding has emerged as a widely adopted method to accelerate large language model inference without sacrificing the quality of the model outputs. While this technique has facilitated notable speed improvements by enabling parallel sequence verification, its efficiency remains inherently limited by the re...
[ { "created": "Sat, 10 Aug 2024 21:24:25 GMT", "version": "v1" } ]
2024-08-13
[ [ "Christopher", "Jacob K", "" ], [ "Bartoldson", "Brian R", "" ], [ "Kailkhura", "Bhavya", "" ], [ "Fioretto", "Ferdinando", "" ] ]
Speculative decoding has emerged as a widely adopted method to accelerate large language model inference without sacrificing the quality of the model outputs. While this technique has facilitated notable speed improvements by enabling parallel sequence verification, its efficiency remains inherently limited by the reli...
2403.19918
Luke Rowe
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
21 pages, 9 figures, 8 tables
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Evaluating autonomous vehicle stacks (AVs) in simulation typically involves replaying driving logs from real-world recorded traffic. However, agents replayed from offline data are not reactive and hard to intuitively control. Existing approaches address these challenges by proposing methods that rely on heuristics or...
[ { "created": "Fri, 29 Mar 2024 02:10:19 GMT", "version": "v1" }, { "created": "Fri, 14 Jun 2024 21:47:41 GMT", "version": "v2" } ]
2024-06-18
[ [ "Rowe", "Luke", "" ], [ "Girgis", "Roger", "" ], [ "Gosselin", "Anthony", "" ], [ "Carrez", "Bruno", "" ], [ "Golemo", "Florian", "" ], [ "Heide", "Felix", "" ], [ "Paull", "Liam", "" ], [ "Pal", ...
Evaluating autonomous vehicle stacks (AVs) in simulation typically involves replaying driving logs from real-world recorded traffic. However, agents replayed from offline data are not reactive and hard to intuitively control. Existing approaches address these challenges by proposing methods that rely on heuristics or g...
2203.10629
Matthew Sparr
Matthew Sparr
Explicit User Manipulation in Reinforcement Learning Based Recommender Systems
null
null
null
null
cs.LG cs.IR
http://creativecommons.org/licenses/by/4.0/
Recommender systems are highly prevalent in the modern world due to their value to both users and platforms and services that employ them. Generally, they can improve the user experience and help to increase satisfaction, but they do not come without risks. One such risk is that of their effect on users and their abi...
[ { "created": "Sun, 20 Mar 2022 19:03:18 GMT", "version": "v1" } ]
2022-03-22
[ [ "Sparr", "Matthew", "" ] ]
Recommender systems are highly prevalent in the modern world due to their value to both users and platforms and services that employ them. Generally, they can improve the user experience and help to increase satisfaction, but they do not come without risks. One such risk is that of their effect on users and their abili...
2207.09592
Nyteisha Bookert
Nyteisha Bookert (1), May Almousa (1), Mohd Anwar (1) ((1) North Carolina Agricultural and Technical State University)
Inclusive Privacy Design for Older Adults Living in Ambient Assisted Living
5 pages, 1 figure, accepted to Workshop on Inclusive Privacy and Security (WIPS 2022)
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Ambient assisted living (AAL) environments support independence and quality of life of older adults However, in an AAL environment, privacy-related issues (e.g., unawareness, information disclosure, and lack of support) directly impact older adults and bystanders (e.g., caregivers, service providers, etc.). We explor...
[ { "created": "Tue, 19 Jul 2022 23:44:16 GMT", "version": "v1" } ]
2022-07-21
[ [ "Bookert", "Nyteisha", "" ], [ "Almousa", "May", "" ], [ "Anwar", "Mohd", "" ] ]
Ambient assisted living (AAL) environments support independence and quality of life of older adults However, in an AAL environment, privacy-related issues (e.g., unawareness, information disclosure, and lack of support) directly impact older adults and bystanders (e.g., caregivers, service providers, etc.). We explore ...
1304.7842
Gobithaasan Rudrusamy
R.U. Gobithaasan, J.M. Ali, Kenjiro T. Miura
The Logarithmic Curvature Graphs of Generalised Cornu Spirals
null
2012 Punjab University Journal of Mathematics, 44, Pg.1-8
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Generalized Cornu Spiral (GCS) was first proposed by Ali et al. in 1995 [9]. Due to the monotonocity of its curvature function, the surface generated with GCS segments has been considered as a high quality surface and it has potential applications in surface design [2]. In this paper, the analysis of GCS segment ...
[ { "created": "Tue, 30 Apr 2013 03:10:31 GMT", "version": "v1" } ]
2013-05-01
[ [ "Gobithaasan", "R. U.", "" ], [ "Ali", "J. M.", "" ], [ "Miura", "Kenjiro T.", "" ] ]
The Generalized Cornu Spiral (GCS) was first proposed by Ali et al. in 1995 [9]. Due to the monotonocity of its curvature function, the surface generated with GCS segments has been considered as a high quality surface and it has potential applications in surface design [2]. In this paper, the analysis of GCS segment is...
2302.08198
Francoise Grelaud
Patrick S\'egu\'ela, Nathalie Aussenac-Gilles (IRIT-MELODI, CNRS)
Un mod{\`e}le de base de connaissances terminologiques
in French language. 2{\`e}mes Rencontres Terminologie et Intelligence Artificielle (TIA 1997), Groupe de recherche TIA : Terminologie et intelligence artificielle, UT2 LeMirail, Toulouse, Apr 1997, Toulouse, France
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the present paper, we argue that Terminological Knowledge Bases (TKB) are all the more useful for addressing various needs as they do not fulfill formal criteria. Moreover, they intend to clarify the terminology of a given domain by illustrating term uses in various contexts. Thus we designed a TKB structure inclu...
[ { "created": "Thu, 16 Feb 2023 10:28:23 GMT", "version": "v1" } ]
2023-02-17
[ [ "Séguéla", "Patrick", "", "IRIT-MELODI, CNRS" ], [ "Aussenac-Gilles", "Nathalie", "", "IRIT-MELODI, CNRS" ] ]
In the present paper, we argue that Terminological Knowledge Bases (TKB) are all the more useful for addressing various needs as they do not fulfill formal criteria. Moreover, they intend to clarify the terminology of a given domain by illustrating term uses in various contexts. Thus we designed a TKB structure includi...
2112.01651
Chuanzheng Sun
Zhiyuan Liu, Chuanzheng Sun, Yuxin Jiang, Shiqi Jiang, Mei Ming
Multi-modal application: Image Memes Generation
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Meme is an interesting word. Internet memes offer unique insights into the changes in our perception of the world, the media and our own lives. If you surf the Internet for long enough, you will see it somewhere on the Internet. With the rise of social media platforms and convenient image dissemination, Image Meme ha...
[ { "created": "Fri, 3 Dec 2021 00:17:44 GMT", "version": "v1" } ]
2021-12-06
[ [ "Liu", "Zhiyuan", "" ], [ "Sun", "Chuanzheng", "" ], [ "Jiang", "Yuxin", "" ], [ "Jiang", "Shiqi", "" ], [ "Ming", "Mei", "" ] ]
Meme is an interesting word. Internet memes offer unique insights into the changes in our perception of the world, the media and our own lives. If you surf the Internet for long enough, you will see it somewhere on the Internet. With the rise of social media platforms and convenient image dissemination, Image Meme has ...
2404.11328
Lorenzo Zaniboni
Yatish Pachigolla, Lorenzo Zaniboni, Mahdi Mahvari
Channel Estimation in TDD Cell-free Scenario using OTFS Modulation
Submitted to IEEE for possible pubblications
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Channel estimation techniques for orthogonal time frequency space (OTFS) modulation scheme are investigated. The orthogonal matching pursuit algorithm is investigated with and without side channel information and an efficient data placement is proposed alongside the pilot in the multi-user scenario based on impulse p...
[ { "created": "Wed, 17 Apr 2024 12:41:01 GMT", "version": "v1" } ]
2024-04-18
[ [ "Pachigolla", "Yatish", "" ], [ "Zaniboni", "Lorenzo", "" ], [ "Mahvari", "Mahdi", "" ] ]
Channel estimation techniques for orthogonal time frequency space (OTFS) modulation scheme are investigated. The orthogonal matching pursuit algorithm is investigated with and without side channel information and an efficient data placement is proposed alongside the pilot in the multi-user scenario based on impulse pil...
1812.00825
Po-Hsuan Cameron Chen
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S. Corrado, Jason D. Hipp, Martin C. Stumpe
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration
null
Nature Medicine (2019)
10.1038/s41591-019-0539-7
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in cancer histopathology, where the microscopic assessment of the tissue samples is used for the diagnosis and staging of cancer and thus guides ...
[ { "created": "Wed, 21 Nov 2018 21:02:50 GMT", "version": "v1" }, { "created": "Tue, 4 Dec 2018 05:36:36 GMT", "version": "v2" } ]
2020-06-03
[ [ "Chen", "Po-Hsuan Cameron", "" ], [ "Gadepalli", "Krishna", "" ], [ "MacDonald", "Robert", "" ], [ "Liu", "Yun", "" ], [ "Nagpal", "Kunal", "" ], [ "Kohlberger", "Timo", "" ], [ "Dean", "Jeffrey", "" ], ...
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in cancer histopathology, where the microscopic assessment of the tissue samples is used for the diagnosis and staging of cancer and thus guides cl...
1607.06359
Fatema Akbar
Fatema Akbar and Ingmar Weber
#Sleep_as_Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies
This is a preprint of an article accepted to appear at IEEE ICHI 2016
null
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media enjoys a growing popularity as a platform to seek and share personal health information. For sleep studies using data from social media, most researchers focused on inferring sleep-related artifacts from self-reported anecdotal pointers to sleep patterns or issues such as insomnia. The data shared by "qu...
[ { "created": "Thu, 21 Jul 2016 15:18:27 GMT", "version": "v1" } ]
2016-07-25
[ [ "Akbar", "Fatema", "" ], [ "Weber", "Ingmar", "" ] ]
Social media enjoys a growing popularity as a platform to seek and share personal health information. For sleep studies using data from social media, most researchers focused on inferring sleep-related artifacts from self-reported anecdotal pointers to sleep patterns or issues such as insomnia. The data shared by "quan...
1607.04747
Chao Lan
Chao Lan, Yuhao Yang, Xiaoli Li, Bo Luo, Jun Huan
Learning Social Circles in Ego Networks based on Multi-View Social Graphs
This paper has been withdrawn by the author due to its current unsatisfactory quality
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In social network analysis, automatic social circle detection in ego-networks is becoming a fundamental and important task, with many potential applications such as user privacy protection or interest group recommendation. So far, most studies have focused on addressing two questions, namely, how to detect overlappin...
[ { "created": "Sat, 16 Jul 2016 15:00:40 GMT", "version": "v1" }, { "created": "Sat, 24 Dec 2016 02:27:15 GMT", "version": "v2" } ]
2016-12-28
[ [ "Lan", "Chao", "" ], [ "Yang", "Yuhao", "" ], [ "Li", "Xiaoli", "" ], [ "Luo", "Bo", "" ], [ "Huan", "Jun", "" ] ]
In social network analysis, automatic social circle detection in ego-networks is becoming a fundamental and important task, with many potential applications such as user privacy protection or interest group recommendation. So far, most studies have focused on addressing two questions, namely, how to detect overlapping ...
2304.10263
Jianhui Li
Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image
20 pages, 21 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the 3D-aware image attribute editing problem in this paper, which has wide applications in practice. Recent methods solved the problem by training a shared encoder to map images into a 3D generator's latent space or by per-image latent code optimization and then edited images in the latent space. Despite the...
[ { "created": "Thu, 20 Apr 2023 12:33:56 GMT", "version": "v1" } ]
2023-04-21
[ [ "Li", "Jianhui", "" ], [ "Li", "Jianmin", "" ], [ "Zhang", "Haoji", "" ], [ "Liu", "Shilong", "" ], [ "Wang", "Zhengyi", "" ], [ "Xiao", "Zihao", "" ], [ "Zheng", "Kaiwen", "" ], [ "Zhu", "Jun",...
We study the 3D-aware image attribute editing problem in this paper, which has wide applications in practice. Recent methods solved the problem by training a shared encoder to map images into a 3D generator's latent space or by per-image latent code optimization and then edited images in the latent space. Despite their...
2404.11118
Xueyuan Gong
Xueyuan Gong, Yain-whar Si, Zheng Zhang, Xiaochen Yuan, Ke Wang, Xinyuan Zhang, Cong Lin, and Xiaoxiang Liu
MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Face recognition (FR) has seen significant advancements due to the utilization of large-scale datasets. Training deep FR models on large-scale datasets with multiple GPUs is now a common practice. In fact, computing power has evolved into a foundational and indispensable resource in the area of deep learning. It is n...
[ { "created": "Wed, 17 Apr 2024 07:06:22 GMT", "version": "v1" } ]
2024-04-18
[ [ "Gong", "Xueyuan", "" ], [ "Si", "Yain-whar", "" ], [ "Zhang", "Zheng", "" ], [ "Yuan", "Xiaochen", "" ], [ "Wang", "Ke", "" ], [ "Zhang", "Xinyuan", "" ], [ "Lin", "Cong", "" ], [ "Liu", "Xiaox...
Face recognition (FR) has seen significant advancements due to the utilization of large-scale datasets. Training deep FR models on large-scale datasets with multiple GPUs is now a common practice. In fact, computing power has evolved into a foundational and indispensable resource in the area of deep learning. It is nea...
2112.15072
Sami Sarsa
Sami Sarsa, Juho Leinonen, Arto Hellas
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability
70 pages, 8 figures, submitted to JEDM, added acknowledgments, modified after first round of review
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We review and evaluate a body of deep learning knowledge tracing (DLKT) models with openly available and widely-used data sets, and with a novel data set of students learning to program. The evaluated knowledge tracing models include Vanilla-DKT, two Long Short-Term Memory Deep Knowledge Tracing (LSTM-DKT) variants, ...
[ { "created": "Thu, 30 Dec 2021 14:19:27 GMT", "version": "v1" }, { "created": "Thu, 27 Jan 2022 20:15:21 GMT", "version": "v2" }, { "created": "Sat, 2 Apr 2022 20:28:13 GMT", "version": "v3" }, { "created": "Tue, 5 Apr 2022 10:41:33 GMT", "version": "v4" } ]
2022-04-06
[ [ "Sarsa", "Sami", "" ], [ "Leinonen", "Juho", "" ], [ "Hellas", "Arto", "" ] ]
We review and evaluate a body of deep learning knowledge tracing (DLKT) models with openly available and widely-used data sets, and with a novel data set of students learning to program. The evaluated knowledge tracing models include Vanilla-DKT, two Long Short-Term Memory Deep Knowledge Tracing (LSTM-DKT) variants, tw...
1906.06240
Mario Almeida
Mario Almeida, Liang Wang, Jeremy Blackburn, Konstantina Papagiannaki, Jon Crowcroft
Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading
null
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the huge disparity between the limited battery capacity of user devices and the ever-growing energy demands of modern mobile apps, we propose INFv. It is the first offloading system able to cache, migrate and dynamically execute on demand functionality from mobile devices in ISP networks. It aims to brid...
[ { "created": "Fri, 14 Jun 2019 15:12:41 GMT", "version": "v1" } ]
2019-06-17
[ [ "Almeida", "Mario", "" ], [ "Wang", "Liang", "" ], [ "Blackburn", "Jeremy", "" ], [ "Papagiannaki", "Konstantina", "" ], [ "Crowcroft", "Jon", "" ] ]
Motivated by the huge disparity between the limited battery capacity of user devices and the ever-growing energy demands of modern mobile apps, we propose INFv. It is the first offloading system able to cache, migrate and dynamically execute on demand functionality from mobile devices in ISP networks. It aims to bridge...
2010.00757
Zhe Jiang
Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors
null
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, deep learning techniques (e.g., U-Net, DeepLab) have achieved tremendous success in image segmentation. The performance of these models heavily relies on high-quality ground truth segment labels. Unfortunately, in many real-world problems, ground truth segment labels often have geometric annotation e...
[ { "created": "Fri, 2 Oct 2020 02:54:06 GMT", "version": "v1" } ]
2020-10-05
[ [ "Jiang", "Zhe", "" ], [ "Kirby", "Marcus Stephen", "" ], [ "He", "Wenchong", "" ], [ "Sainju", "Arpan Man", "" ] ]
In recent years, deep learning techniques (e.g., U-Net, DeepLab) have achieved tremendous success in image segmentation. The performance of these models heavily relies on high-quality ground truth segment labels. Unfortunately, in many real-world problems, ground truth segment labels often have geometric annotation err...
2203.16792
Yinfeng Gao
Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Realistic and diverse simulation scenarios with reactive and feasible agent behaviors can be used for validation and verification of self-driving system performance without relying on expensive and time-consuming real-world testing. Existing simulators rely on heuristic-based behavior models for background vehicles, ...
[ { "created": "Thu, 31 Mar 2022 04:48:29 GMT", "version": "v1" } ]
2022-04-01
[ [ "Zhang", "Qichao", "" ], [ "Gao", "Yinfeng", "" ], [ "Zhang", "Yikang", "" ], [ "Guo", "Youtian", "" ], [ "Ding", "Dawei", "" ], [ "Wang", "Yunpeng", "" ], [ "Sun", "Peng", "" ], [ "Zhao", "Dong...
Realistic and diverse simulation scenarios with reactive and feasible agent behaviors can be used for validation and verification of self-driving system performance without relying on expensive and time-consuming real-world testing. Existing simulators rely on heuristic-based behavior models for background vehicles, wh...
2209.01876
Anastasios Giovanidis
Anastasios Giovanidis
SlateFree: a Model-Free Decomposition for Reinforcement Learning with Slate Actions
12 pages, 9 sub-figures
null
null
null
cs.LG cs.AI cs.IR cs.NI cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We consider the problem of sequential recommendations, where at each step an agent proposes some slate of $N$ distinct items to a user from a much larger catalog of size $K>>N$. The user has unknown preferences towards the recommendations and the agent takes sequential actions that optimise (in our case minimise) som...
[ { "created": "Mon, 5 Sep 2022 10:15:16 GMT", "version": "v1" } ]
2022-09-07
[ [ "Giovanidis", "Anastasios", "" ] ]
We consider the problem of sequential recommendations, where at each step an agent proposes some slate of $N$ distinct items to a user from a much larger catalog of size $K>>N$. The user has unknown preferences towards the recommendations and the agent takes sequential actions that optimise (in our case minimise) some ...
1910.12363
Dan Oneata
Dan Oneata, Cosmin George Alexandru, Marius Stanescu, Octavian Pascu, Alexandru Magan, Adrian Postelnicu, Horia Cucu
The Quo Vadis submission at Traffic4cast 2019
Extended abstract for the Traffic4cast competition from NeurIPS 2019
null
null
null
cs.CV cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
We describe the submission of the Quo Vadis team to the Traffic4cast competition, which was organized as part of the NeurIPS 2019 series of challenges. Our system consists of a temporal regression module, implemented as $1\times1$ 2d convolutions, augmented with spatio-temporal biases. We have found that using biases...
[ { "created": "Sun, 27 Oct 2019 21:50:30 GMT", "version": "v1" } ]
2019-10-29
[ [ "Oneata", "Dan", "" ], [ "Alexandru", "Cosmin George", "" ], [ "Stanescu", "Marius", "" ], [ "Pascu", "Octavian", "" ], [ "Magan", "Alexandru", "" ], [ "Postelnicu", "Adrian", "" ], [ "Cucu", "Horia", "" ...
We describe the submission of the Quo Vadis team to the Traffic4cast competition, which was organized as part of the NeurIPS 2019 series of challenges. Our system consists of a temporal regression module, implemented as $1\times1$ 2d convolutions, augmented with spatio-temporal biases. We have found that using biases i...
2401.04971
Shu Chen
Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
A Survey on Cross-Domain Sequential Recommendation
Accepted to the IJCAI 2024 Survey Track
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple domains at different granularities (ranging from inter-sequence to intra-sequence and from single-domain to cross-domain). In this survey, w...
[ { "created": "Wed, 10 Jan 2024 07:31:26 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2024 07:52:57 GMT", "version": "v2" }, { "created": "Tue, 2 Apr 2024 12:34:19 GMT", "version": "v3" }, { "created": "Fri, 17 May 2024 11:24:01 GMT", "version": "v4" } ]
2024-05-20
[ [ "Chen", "Shu", "" ], [ "Xu", "Zitao", "" ], [ "Pan", "Weike", "" ], [ "Yang", "Qiang", "" ], [ "Ming", "Zhong", "" ] ]
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple domains at different granularities (ranging from inter-sequence to intra-sequence and from single-domain to cross-domain). In this survey, we ...
2001.11482
Zhuo Chen
Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Xiong Xiao, Jinyu Li
Continuous speech separation: dataset and analysis
null
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a dataset and protocols for evaluating continuous speech separation algorithms. Most prior studies on speech separation use pre-segmented signals of artificially mixed speech utterances which are mostly \emph{fully} overlapped, and the algorithms are evaluated based on signal-to-distortion ratio ...
[ { "created": "Thu, 30 Jan 2020 18:01:31 GMT", "version": "v1" }, { "created": "Sat, 11 Apr 2020 03:25:41 GMT", "version": "v2" }, { "created": "Thu, 7 May 2020 09:13:27 GMT", "version": "v3" } ]
2020-05-08
[ [ "Chen", "Zhuo", "" ], [ "Yoshioka", "Takuya", "" ], [ "Lu", "Liang", "" ], [ "Zhou", "Tianyan", "" ], [ "Meng", "Zhong", "" ], [ "Luo", "Yi", "" ], [ "Wu", "Jian", "" ], [ "Xiao", "Xiong", "...
This paper describes a dataset and protocols for evaluating continuous speech separation algorithms. Most prior studies on speech separation use pre-segmented signals of artificially mixed speech utterances which are mostly \emph{fully} overlapped, and the algorithms are evaluated based on signal-to-distortion ratio or...
2202.07706
Kehan Wang
Kehan Wang, David Chan, Seth Z. Zhao, John Canny, Avideh Zakhor
Misinformation Detection in Social Media Video Posts
We discovered an error in our dataset construction where retweets were not properly filtered. This resulted in test data leakage in training data, and the results reported are affected
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media providers. In this paper, we develop methods to detect misinformation in social media posts, exploiting modalities such as video and text....
[ { "created": "Tue, 15 Feb 2022 20:14:54 GMT", "version": "v1" }, { "created": "Sun, 31 Jul 2022 00:50:37 GMT", "version": "v2" } ]
2022-08-02
[ [ "Wang", "Kehan", "" ], [ "Chan", "David", "" ], [ "Zhao", "Seth Z.", "" ], [ "Canny", "John", "" ], [ "Zakhor", "Avideh", "" ] ]
With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media providers. In this paper, we develop methods to detect misinformation in social media posts, exploiting modalities such as video and text. D...
2404.12013
Semih Yagcioglu
Semih Yagcioglu, Osman Batur \.Ince, Aykut Erdem, Erkut Erdem, Desmond Elliott, Deniz Yuret
Sequential Compositional Generalization in Multimodal Models
Accepted to the main conference of NAACL (2024) as a long paper
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The rise of large-scale multimodal models has paved the pathway for groundbreaking advances in generative modeling and reasoning, unlocking transformative applications in a variety of complex tasks. However, a pressing question that remains is their genuine capability for stronger forms of generalization, which has b...
[ { "created": "Thu, 18 Apr 2024 09:04:15 GMT", "version": "v1" } ]
2024-04-19
[ [ "Yagcioglu", "Semih", "" ], [ "İnce", "Osman Batur", "" ], [ "Erdem", "Aykut", "" ], [ "Erdem", "Erkut", "" ], [ "Elliott", "Desmond", "" ], [ "Yuret", "Deniz", "" ] ]
The rise of large-scale multimodal models has paved the pathway for groundbreaking advances in generative modeling and reasoning, unlocking transformative applications in a variety of complex tasks. However, a pressing question that remains is their genuine capability for stronger forms of generalization, which has bee...
1710.02546
Xuemei Xie
Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, Zhifu Zhao
Real-Time Illegal Parking Detection System Based on Deep Learning
5pages,6figures
null
10.1145/3094243.3094261
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The increasing illegal parking has become more and more serious. Nowadays the methods of detecting illegally parked vehicles are based on background segmentation. However, this method is weakly robust and sensitive to environment. Benefitting from deep learning, this paper proposes a novel illegal vehicle parking det...
[ { "created": "Thu, 5 Oct 2017 07:57:29 GMT", "version": "v1" } ]
2017-10-10
[ [ "Xie", "Xuemei", "" ], [ "Wang", "Chenye", "" ], [ "Chen", "Shu", "" ], [ "Shi", "Guangming", "" ], [ "Zhao", "Zhifu", "" ] ]
The increasing illegal parking has become more and more serious. Nowadays the methods of detecting illegally parked vehicles are based on background segmentation. However, this method is weakly robust and sensitive to environment. Benefitting from deep learning, this paper proposes a novel illegal vehicle parking detec...
cs/0501045
Kenneth Clarkson
Kenneth L. Clarkson and Kasturi Varadarajan
Improved Approximation Algorithms for Geometric Set Cover
null
null
null
null
cs.CG cs.DS
null
Given a collection S of subsets of some set U, and M a subset of U, the set cover problem is to find the smallest subcollection C of S such that M is a subset of the union of the sets in C. While the general problem is NP-hard to solve, even approximately, here we consider some geometric special cases, where usually ...
[ { "created": "Thu, 20 Jan 2005 21:31:22 GMT", "version": "v1" } ]
2007-05-23
[ [ "Clarkson", "Kenneth L.", "" ], [ "Varadarajan", "Kasturi", "" ] ]
Given a collection S of subsets of some set U, and M a subset of U, the set cover problem is to find the smallest subcollection C of S such that M is a subset of the union of the sets in C. While the general problem is NP-hard to solve, even approximately, here we consider some geometric special cases, where usually U ...
2004.14547
Xiaoteng Ma
Xiaoteng Ma, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a new reinforcement learning (RL) algorithm called Distributional Soft Actor Critic (DSAC), which exploits the distributional information of accumulated rewards to achieve better performance. Seamlessly integrating SAC (which uses entropy to encourage exploration) with a principled distribut...
[ { "created": "Thu, 30 Apr 2020 02:23:15 GMT", "version": "v1" }, { "created": "Thu, 11 Jun 2020 02:08:35 GMT", "version": "v2" } ]
2020-06-12
[ [ "Ma", "Xiaoteng", "" ], [ "Xia", "Li", "" ], [ "Zhou", "Zhengyuan", "" ], [ "Yang", "Jun", "" ], [ "Zhao", "Qianchuan", "" ] ]
In this paper, we present a new reinforcement learning (RL) algorithm called Distributional Soft Actor Critic (DSAC), which exploits the distributional information of accumulated rewards to achieve better performance. Seamlessly integrating SAC (which uses entropy to encourage exploration) with a principled distributio...
0902.2866
Alain Barrat
Ciro Cattuto, Alain Barrat (CPT), Andrea Baldassarri, G. Schehr (LPT), Vittorio Loreto
Collective dynamics of social annotation
null
Proceeding of the national academy of sciences 106 (2009) 10511
10.1073/pnas.0901136106
null
cs.CY cond-mat.stat-mech physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The enormous increase of popularity and use of the WWW has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) w...
[ { "created": "Tue, 17 Feb 2009 08:58:54 GMT", "version": "v1" }, { "created": "Thu, 30 Apr 2009 12:09:47 GMT", "version": "v2" } ]
2009-07-02
[ [ "Cattuto", "Ciro", "", "CPT" ], [ "Barrat", "Alain", "", "CPT" ], [ "Baldassarri", "Andrea", "", "LPT" ], [ "Schehr", "G.", "", "LPT" ], [ "Loreto", "Vittorio", "" ] ]
The enormous increase of popularity and use of the WWW has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) wit...
2207.01193
Huimin Chen
Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang and Jamie Cui
A Customized Text Sanitization Mechanism with Differential Privacy
This work has been accepted to the Findings of ACL 2023
https://aclanthology.org/2023.findings-acl.355/
10.18653/v1/2023.findings-acl.355
null
cs.CR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As privacy issues are receiving increasing attention within the Natural Language Processing (NLP) community, numerous methods have been proposed to sanitize texts subject to differential privacy. However, the state-of-the-art text sanitization mechanisms based on metric local differential privacy (MLDP) do not apply ...
[ { "created": "Mon, 4 Jul 2022 04:37:42 GMT", "version": "v1" }, { "created": "Tue, 23 May 2023 04:52:19 GMT", "version": "v2" } ]
2023-09-04
[ [ "Chen", "Huimin", "" ], [ "Mo", "Fengran", "" ], [ "Wang", "Yanhao", "" ], [ "Chen", "Cen", "" ], [ "Nie", "Jian-Yun", "" ], [ "Wang", "Chengyu", "" ], [ "Cui", "Jamie", "" ] ]
As privacy issues are receiving increasing attention within the Natural Language Processing (NLP) community, numerous methods have been proposed to sanitize texts subject to differential privacy. However, the state-of-the-art text sanitization mechanisms based on metric local differential privacy (MLDP) do not apply to...
1202.2089
Jiaming Xu
Jiaming Xu and Bruce Hajek
The Supermarket Game
Submitted to Stochastic Systems
null
null
null
cs.IT cs.GT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A supermarket game is considered with $N$ FCFS queues with unit exponential service rate and global Poisson arrival rate $N \lambda$. Upon arrival each customer chooses a number of queues to be sampled uniformly at random and joins the least loaded sampled queue. Customers are assumed to have cost for both waiting an...
[ { "created": "Thu, 9 Feb 2012 19:42:28 GMT", "version": "v1" }, { "created": "Sat, 22 Dec 2012 15:29:24 GMT", "version": "v2" } ]
2012-12-27
[ [ "Xu", "Jiaming", "" ], [ "Hajek", "Bruce", "" ] ]
A supermarket game is considered with $N$ FCFS queues with unit exponential service rate and global Poisson arrival rate $N \lambda$. Upon arrival each customer chooses a number of queues to be sampled uniformly at random and joins the least loaded sampled queue. Customers are assumed to have cost for both waiting and ...
2205.01440
Daniel Graziotin
Verena Ebert, Daniel Graziotin, Stefan Wagner
How Are Communication Channels on GitHub Presented to Their Intended Audience? -- A Thematic Analysis
10 pages, 5 figures. Accepted for presentation at the International Conference on Evaluation and Assessment in Software Engineering (EASE) 2022
In Proceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering (EASE 2022). Association for Computing Machinery, New York, NY, USA, 40-49
10.1145/3530019.3530024
null
cs.SE cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Communication is essential in software development, and even more in distributed settings. Communication activities need to be organized and coordinated to defend against the threat of productivity losses, increases in cognitive load, and stress among team members. With a plethora of communication channels that were ...
[ { "created": "Tue, 3 May 2022 11:57:53 GMT", "version": "v1" } ]
2023-09-19
[ [ "Ebert", "Verena", "" ], [ "Graziotin", "Daniel", "" ], [ "Wagner", "Stefan", "" ] ]
Communication is essential in software development, and even more in distributed settings. Communication activities need to be organized and coordinated to defend against the threat of productivity losses, increases in cognitive load, and stress among team members. With a plethora of communication channels that were id...
1810.09431
Christopher Shulby
Christopher Dane Shulby, Leonardo Pombal, Vitor Jord\~ao, Guilherme Ziolle, Bruno Martho, Ant\^onio Postal, Thiago Prochnow
Proactive Security: Embedded AI Solution for Violent and Abusive Speech Recognition
6 Pages, Bracis 2018 Preprint
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Violence is an epidemic in Brazil and a problem on the rise world-wide. Mobile devices provide communication technologies which can be used to monitor and alert about violent situations. However, current solutions, like panic buttons or safe words, might increase the loss of life in violent situations. We propose an ...
[ { "created": "Mon, 22 Oct 2018 17:56:08 GMT", "version": "v1" } ]
2018-10-23
[ [ "Shulby", "Christopher Dane", "" ], [ "Pombal", "Leonardo", "" ], [ "Jordão", "Vitor", "" ], [ "Ziolle", "Guilherme", "" ], [ "Martho", "Bruno", "" ], [ "Postal", "Antônio", "" ], [ "Prochnow", "Thiago", ""...
Violence is an epidemic in Brazil and a problem on the rise world-wide. Mobile devices provide communication technologies which can be used to monitor and alert about violent situations. However, current solutions, like panic buttons or safe words, might increase the loss of life in violent situations. We propose an em...
1703.09499
Yangyang Li
Yangyang Li and Ruqian Lu
Locality preserving projection on SPD matrix Lie group: algorithm and analysis
15 pages, 3 tables
null
null
null
cs.CV cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Symmetric positive definite (SPD) matrices used as feature descriptors in image recognition are usually high dimensional. Traditional manifold learning is only applicable for reducing the dimension of high-dimensional vector-form data. For high-dimensional SPD matrices, directly using manifold learning algorithms to ...
[ { "created": "Tue, 28 Mar 2017 10:38:22 GMT", "version": "v1" }, { "created": "Thu, 16 Nov 2017 02:47:32 GMT", "version": "v2" } ]
2017-11-17
[ [ "Li", "Yangyang", "" ], [ "Lu", "Ruqian", "" ] ]
Symmetric positive definite (SPD) matrices used as feature descriptors in image recognition are usually high dimensional. Traditional manifold learning is only applicable for reducing the dimension of high-dimensional vector-form data. For high-dimensional SPD matrices, directly using manifold learning algorithms to re...
2209.10868
Chengran Yang
Yang Chengran, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
Answer Summarization for Technical Queries: Benchmark and New Approach
Accepted by ASE 2022
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prior studies have demonstrated that approaches to generate an answer summary for a given technical query in Software Question and Answer (SQA) sites are desired. We find that existing approaches are assessed solely through user studies. There is a need for a benchmark with ground truth summaries to complement assess...
[ { "created": "Thu, 22 Sep 2022 09:05:46 GMT", "version": "v1" } ]
2022-09-23
[ [ "Chengran", "Yang", "" ], [ "Xu", "Bowen", "" ], [ "Thung", "Ferdian", "" ], [ "Shi", "Yucen", "" ], [ "Zhang", "Ting", "" ], [ "Yang", "Zhou", "" ], [ "Zhou", "Xin", "" ], [ "Shi", "Jieke", ...
Prior studies have demonstrated that approaches to generate an answer summary for a given technical query in Software Question and Answer (SQA) sites are desired. We find that existing approaches are assessed solely through user studies. There is a need for a benchmark with ground truth summaries to complement assessme...
2310.09242
Nitinder Mohan Dr.
Nitinder Mohan, Andrew Ferguson, Hendrik Cech, Prakita Rayyan Renatin, Rohan Bose, Mahesh Marina, J\"org Ott
A Multifaceted Look at Starlink Performance
Accepted in ACM Web Conference 2024 (WWW 24)
In Proceedings of ACM Web Conference 2024 (WWW 24)
10.1145/3589334.3645328
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
In recent years, Low-Earth Orbit (LEO) mega-constellations have emerged as a promising network technology and have ushered in a new era for democratizing Internet access. The Starlink network from SpaceX stands out as the only consumer-facing LEO network with over 2M+ customers and more than 4000 operational satellit...
[ { "created": "Fri, 13 Oct 2023 16:47:26 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 15:47:07 GMT", "version": "v2" } ]
2024-02-23
[ [ "Mohan", "Nitinder", "" ], [ "Ferguson", "Andrew", "" ], [ "Cech", "Hendrik", "" ], [ "Renatin", "Prakita Rayyan", "" ], [ "Bose", "Rohan", "" ], [ "Marina", "Mahesh", "" ], [ "Ott", "Jörg", "" ] ]
In recent years, Low-Earth Orbit (LEO) mega-constellations have emerged as a promising network technology and have ushered in a new era for democratizing Internet access. The Starlink network from SpaceX stands out as the only consumer-facing LEO network with over 2M+ customers and more than 4000 operational satellites...
1909.13794
YunKai Wang
Yunkai Wang, Shenhan Jia, Zexi Chen, Zheyuan Huang, Rong Xiong
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation
7 pages, IEEE ROBIO 2019
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the case of the two-person zero-sum stochastic game with a central controller, this paper proposes a best collaborative behavior search and selection algorithm based on reinforcement learning, in response to how to choose the best collaborative object and action for the central controller. In view of the existing ...
[ { "created": "Mon, 30 Sep 2019 15:43:49 GMT", "version": "v1" } ]
2019-10-01
[ [ "Wang", "Yunkai", "" ], [ "Jia", "Shenhan", "" ], [ "Chen", "Zexi", "" ], [ "Huang", "Zheyuan", "" ], [ "Xiong", "Rong", "" ] ]
In the case of the two-person zero-sum stochastic game with a central controller, this paper proposes a best collaborative behavior search and selection algorithm based on reinforcement learning, in response to how to choose the best collaborative object and action for the central controller. In view of the existing mu...
1312.0786
Yong Liu
Yiyi Liao, Yue Wang, Yong Liu
Image Representation Learning Using Graph Regularized Auto-Encoders
9pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of image representation for the tasks of unsupervised learning and semi-supervised learning. In those learning tasks, the raw image vectors may not provide enough representation for their intrinsic structures due to their highly dense feature space. To overcome this problem, the raw image vect...
[ { "created": "Tue, 3 Dec 2013 11:59:57 GMT", "version": "v1" }, { "created": "Wed, 19 Feb 2014 11:13:57 GMT", "version": "v2" } ]
2014-02-20
[ [ "Liao", "Yiyi", "" ], [ "Wang", "Yue", "" ], [ "Liu", "Yong", "" ] ]
We consider the problem of image representation for the tasks of unsupervised learning and semi-supervised learning. In those learning tasks, the raw image vectors may not provide enough representation for their intrinsic structures due to their highly dense feature space. To overcome this problem, the raw image vector...
2008.11256
Gilbert Bernstein
Gilbert Bernstein and Michael Mara and Tzu-Mao Li and Dougal Maclaurin and Jonathan Ragan-Kelley
Differentiating a Tensor Language
In-progress Draft; unsubmitted
null
null
null
cs.PL cs.GR
http://creativecommons.org/licenses/by-nc-sa/4.0/
How does one compile derivatives of tensor programs, such that the resulting code is purely functional (hence easier to optimize and parallelize) and provably efficient relative to the original program? We show that naively differentiating tensor code---as done in popular systems like Tensorflow and PyTorch---can cau...
[ { "created": "Tue, 25 Aug 2020 20:30:05 GMT", "version": "v1" } ]
2020-10-01
[ [ "Bernstein", "Gilbert", "" ], [ "Mara", "Michael", "" ], [ "Li", "Tzu-Mao", "" ], [ "Maclaurin", "Dougal", "" ], [ "Ragan-Kelley", "Jonathan", "" ] ]
How does one compile derivatives of tensor programs, such that the resulting code is purely functional (hence easier to optimize and parallelize) and provably efficient relative to the original program? We show that naively differentiating tensor code---as done in popular systems like Tensorflow and PyTorch---can cause...
2008.10449
Feng Xia
Feng Xia, Qiuyuan Yang, Jie Li, Jiannong Cao, Li Liu, Ahmedin Mohammed Ahmed
Data Dissemination Using Interest Tree in Socially Aware Networking
13 pages, 9 figures
Computer Networks, Vol. 91, November 2015, pp: 495-507
10.1016/j.comnet.2015.08.047
null
cs.SI cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Socially aware networking (SAN) exploits social characteristics of mobile users to streamline data dissemination protocols in opportunistic environments. Existing protocols in this area utilized various social features such as user interests, social similarity, and community structure to improve the performance of da...
[ { "created": "Sun, 9 Aug 2020 03:45:52 GMT", "version": "v1" } ]
2020-08-25
[ [ "Xia", "Feng", "" ], [ "Yang", "Qiuyuan", "" ], [ "Li", "Jie", "" ], [ "Cao", "Jiannong", "" ], [ "Liu", "Li", "" ], [ "Ahmed", "Ahmedin Mohammed", "" ] ]
Socially aware networking (SAN) exploits social characteristics of mobile users to streamline data dissemination protocols in opportunistic environments. Existing protocols in this area utilized various social features such as user interests, social similarity, and community structure to improve the performance of data...
2308.04022
Quan Li
Longfei Chen, Qianyu Liu, Chenyang Zhang, Yangkun Huang, Zhenhui Peng, Haipeng Zeng, Zhida Sun, Xiaojuan Ma, and Quan Li
Amplifying the Music Listening Experience through Song Comments on Music Streaming Platforms
In the Proceedings of ChinaVis 2023
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Music streaming services are increasingly popular among younger generations who seek social experiences through personal expression and sharing of subjective feelings in comments. However, such emotional aspects are often ignored by current platforms, which affects the listeners' ability to find music that triggers s...
[ { "created": "Tue, 8 Aug 2023 03:35:20 GMT", "version": "v1" } ]
2023-08-09
[ [ "Chen", "Longfei", "" ], [ "Liu", "Qianyu", "" ], [ "Zhang", "Chenyang", "" ], [ "Huang", "Yangkun", "" ], [ "Peng", "Zhenhui", "" ], [ "Zeng", "Haipeng", "" ], [ "Sun", "Zhida", "" ], [ "Ma", "...
Music streaming services are increasingly popular among younger generations who seek social experiences through personal expression and sharing of subjective feelings in comments. However, such emotional aspects are often ignored by current platforms, which affects the listeners' ability to find music that triggers spe...
2310.17163
Yingwen Wu
Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang
Low-Dimensional Gradient Helps Out-of-Distribution Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting out-of-distribution (OOD) samples is essential for ensuring the reliability of deep neural networks (DNNs) in real-world scenarios. While previous research has predominantly investigated the disparity between in-distribution (ID) and OOD data through forward information analysis, the discrepancy in paramete...
[ { "created": "Thu, 26 Oct 2023 05:28:32 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2024 02:59:23 GMT", "version": "v2" } ]
2024-07-23
[ [ "Wu", "Yingwen", "" ], [ "Li", "Tao", "" ], [ "Cheng", "Xinwen", "" ], [ "Yang", "Jie", "" ], [ "Huang", "Xiaolin", "" ] ]
Detecting out-of-distribution (OOD) samples is essential for ensuring the reliability of deep neural networks (DNNs) in real-world scenarios. While previous research has predominantly investigated the disparity between in-distribution (ID) and OOD data through forward information analysis, the discrepancy in parameter ...
cs/0612062
Federico Calzolari
Federico Calzolari, Michele Mammini, Monica Monachini
Unifying Lexicons in view of a Phonological and Morphological Lexical DB
4 pages
null
null
null
cs.IR
null
The present work falls in the line of activities promoted by the European Languguage Resource Association (ELRA) Production Committee (PCom) and raises issues in methods, procedures and tools for the reusability, creation, and management of Language Resources. A two-fold purpose lies behind this experiment. The first...
[ { "created": "Mon, 11 Dec 2006 14:45:49 GMT", "version": "v1" } ]
2007-05-23
[ [ "Calzolari", "Federico", "" ], [ "Mammini", "Michele", "" ], [ "Monachini", "Monica", "" ] ]
The present work falls in the line of activities promoted by the European Languguage Resource Association (ELRA) Production Committee (PCom) and raises issues in methods, procedures and tools for the reusability, creation, and management of Language Resources. A two-fold purpose lies behind this experiment. The first a...
2004.10956
Xiaoyu Tao
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
Few-Shot Class-Incremental Learning
Accepted by CVPR 2020 (oral)
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ability to incrementally learn new classes is crucial to the development of real-world artificial intelligence systems. In this paper, we focus on a challenging but practical few-shot class-incremental learning (FSCIL) problem. FSCIL requires CNN models to incrementally learn new classes from very few labelled sa...
[ { "created": "Thu, 23 Apr 2020 03:38:33 GMT", "version": "v1" }, { "created": "Fri, 24 Apr 2020 02:12:32 GMT", "version": "v2" } ]
2020-04-27
[ [ "Tao", "Xiaoyu", "" ], [ "Hong", "Xiaopeng", "" ], [ "Chang", "Xinyuan", "" ], [ "Dong", "Songlin", "" ], [ "Wei", "Xing", "" ], [ "Gong", "Yihong", "" ] ]
The ability to incrementally learn new classes is crucial to the development of real-world artificial intelligence systems. In this paper, we focus on a challenging but practical few-shot class-incremental learning (FSCIL) problem. FSCIL requires CNN models to incrementally learn new classes from very few labelled samp...
2302.00070
Ching-Yao Chuang
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka
Debiasing Vision-Language Models via Biased Prompts
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Machine learning models have been shown to inherit biases from their training datasets. This can be particularly problematic for vision-language foundation models trained on uncurated datasets scraped from the internet. The biases can be amplified and propagated to downstream applications like zero-shot classifiers a...
[ { "created": "Tue, 31 Jan 2023 20:09:33 GMT", "version": "v1" }, { "created": "Mon, 15 May 2023 07:51:14 GMT", "version": "v2" } ]
2023-05-16
[ [ "Chuang", "Ching-Yao", "" ], [ "Jampani", "Varun", "" ], [ "Li", "Yuanzhen", "" ], [ "Torralba", "Antonio", "" ], [ "Jegelka", "Stefanie", "" ] ]
Machine learning models have been shown to inherit biases from their training datasets. This can be particularly problematic for vision-language foundation models trained on uncurated datasets scraped from the internet. The biases can be amplified and propagated to downstream applications like zero-shot classifiers and...
2404.15157
Si Chen
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
FASTTRACK: Fast and Accurate Fact Tracing for LLMs
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Fact tracing seeks to identify specific training examples that serve as the knowledge source for a given query. Existing approaches to fact tracing rely on assessing the similarity between each training sample and the query along a certain dimension, such as lexical similarity, gradient, or embedding space. However, ...
[ { "created": "Mon, 22 Apr 2024 00:07:55 GMT", "version": "v1" } ]
2024-04-24
[ [ "Chen", "Si", "" ], [ "Kang", "Feiyang", "" ], [ "Yu", "Ning", "" ], [ "Jia", "Ruoxi", "" ] ]
Fact tracing seeks to identify specific training examples that serve as the knowledge source for a given query. Existing approaches to fact tracing rely on assessing the similarity between each training sample and the query along a certain dimension, such as lexical similarity, gradient, or embedding space. However, th...
2001.09977
Daniel de Freitas Adiwardana
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le
Towards a Human-like Open-Domain Chatbot
38 pages, 12 figures
null
null
null
cs.CL cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Meena, a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations. This 2.6B parameter neural network is simply trained to minimize perplexity of the next token. We also propose a human evaluation metric called Sensibleness and Specificity A...
[ { "created": "Mon, 27 Jan 2020 18:53:15 GMT", "version": "v1" }, { "created": "Fri, 31 Jan 2020 18:58:14 GMT", "version": "v2" }, { "created": "Thu, 27 Feb 2020 07:36:47 GMT", "version": "v3" } ]
2020-02-28
[ [ "Adiwardana", "Daniel", "" ], [ "Luong", "Minh-Thang", "" ], [ "So", "David R.", "" ], [ "Hall", "Jamie", "" ], [ "Fiedel", "Noah", "" ], [ "Thoppilan", "Romal", "" ], [ "Yang", "Zi", "" ], [ "Kulsh...
We present Meena, a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations. This 2.6B parameter neural network is simply trained to minimize perplexity of the next token. We also propose a human evaluation metric called Sensibleness and Specificity Ave...
2402.04028
Erion \c{C}ano
Erion \c{C}ano, Dario Lamaj
AlbNews: A Corpus of Headlines for Topic Modeling in Albanian
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The scarcity of available text corpora for low-resource languages like Albanian is a serious hurdle for research in natural language processing tasks. This paper introduces AlbNews, a collection of 600 topically labeled news headlines and 2600 unlabeled ones in Albanian. The data can be freely used for conducting top...
[ { "created": "Tue, 6 Feb 2024 14:24:28 GMT", "version": "v1" } ]
2024-02-07
[ [ "Çano", "Erion", "" ], [ "Lamaj", "Dario", "" ] ]
The scarcity of available text corpora for low-resource languages like Albanian is a serious hurdle for research in natural language processing tasks. This paper introduces AlbNews, a collection of 600 topically labeled news headlines and 2600 unlabeled ones in Albanian. The data can be freely used for conducting topic...
1407.1386
Agi Kurucz
Christopher Hampson and Agi Kurucz
Undecidable propositional bimodal logics and one-variable first-order linear temporal logics with counting
null
ACM TOCL vol. 16(3) (2015), 27:1-27:36
10.1145/2757285
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
First-order temporal logics are notorious for their bad computational behaviour. It is known that even the two-variable monadic fragment is highly undecidable over various linear timelines, and over branching time even one-variable fragments might be undecidable. However, there have been several attempts on finding w...
[ { "created": "Sat, 5 Jul 2014 10:45:41 GMT", "version": "v1" }, { "created": "Sat, 7 Feb 2015 10:55:40 GMT", "version": "v2" }, { "created": "Mon, 8 Jun 2015 16:11:17 GMT", "version": "v3" } ]
2015-08-17
[ [ "Hampson", "Christopher", "" ], [ "Kurucz", "Agi", "" ] ]
First-order temporal logics are notorious for their bad computational behaviour. It is known that even the two-variable monadic fragment is highly undecidable over various linear timelines, and over branching time even one-variable fragments might be undecidable. However, there have been several attempts on finding wel...
2311.05965
Kaiyan Zhang
Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou
Large Language Models are Zero Shot Hypothesis Proposers
Instruction Workshop @ NeurIPS 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Significant scientific discoveries have driven the progress of human civilisation. The explosion of scientific literature and data has created information barriers across disciplines that have slowed the pace of scientific discovery. Large Language Models (LLMs) hold a wealth of global and interdisciplinary knowledge...
[ { "created": "Fri, 10 Nov 2023 10:03:49 GMT", "version": "v1" } ]
2023-11-13
[ [ "Qi", "Biqing", "" ], [ "Zhang", "Kaiyan", "" ], [ "Li", "Haoxiang", "" ], [ "Tian", "Kai", "" ], [ "Zeng", "Sihang", "" ], [ "Chen", "Zhang-Ren", "" ], [ "Zhou", "Bowen", "" ] ]
Significant scientific discoveries have driven the progress of human civilisation. The explosion of scientific literature and data has created information barriers across disciplines that have slowed the pace of scientific discovery. Large Language Models (LLMs) hold a wealth of global and interdisciplinary knowledge t...
1303.5712
Kuo-Chu Chang
Kuo-Chu Chang, Robert Fung
Symbolic Probabilistic Inference with Continuous Variables
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
null
null
UAI-P-1991-PG-77-81
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research on Symbolic Probabilistic Inference (SPI) [2, 3] has provided an algorithm for resolving general queries in Bayesian networks. SPI applies the concept of dependency directed backward search to probabilistic inference, and is incremental with respect to both queries and observations. Unlike traditional Bayesi...
[ { "created": "Wed, 20 Mar 2013 15:30:11 GMT", "version": "v1" } ]
2013-03-26
[ [ "Chang", "Kuo-Chu", "" ], [ "Fung", "Robert", "" ] ]
Research on Symbolic Probabilistic Inference (SPI) [2, 3] has provided an algorithm for resolving general queries in Bayesian networks. SPI applies the concept of dependency directed backward search to probabilistic inference, and is incremental with respect to both queries and observations. Unlike traditional Bayesian...
2210.03630
Rongqian Ma
Rongqian Ma
Boundaries, Extensions, and Challenges of Visualization for Humanities Data: Reflections on Three Cases
null
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
This paper discusses problems of visualizing humanities data of various forms, such as video data, archival data, and numeric-oriented social science data, with three distinct case studies. By describing the visualization practices and the issues that emerged from the process, this paper uses the three cases to each ...
[ { "created": "Fri, 7 Oct 2022 15:32:49 GMT", "version": "v1" } ]
2022-10-10
[ [ "Ma", "Rongqian", "" ] ]
This paper discusses problems of visualizing humanities data of various forms, such as video data, archival data, and numeric-oriented social science data, with three distinct case studies. By describing the visualization practices and the issues that emerged from the process, this paper uses the three cases to each id...
1703.00446
Andjela Draganic
Zoja Vulaj, Andjela Draganic, Milos Brajovic, Irena Orovic
A tool for ECG signal analysis using standard and optimized Hermite transform
accepted for presentation at the MECO 2017 conference (6th Mediterranean Conference on Embedded Computing MECO 2017, Bar, Montenegro)
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of a system that would ease the diagnosis of heart diseases would also fasten the work of the cardiologic department in hospitals and facilitate the monitoring of patients with portable devices. This paper presents a tool for ECG signal analysis which is designed in Matlab. The Hermite transform domai...
[ { "created": "Wed, 1 Mar 2017 17:00:42 GMT", "version": "v1" }, { "created": "Mon, 8 May 2017 16:56:04 GMT", "version": "v2" } ]
2017-05-09
[ [ "Vulaj", "Zoja", "" ], [ "Draganic", "Andjela", "" ], [ "Brajovic", "Milos", "" ], [ "Orovic", "Irena", "" ] ]
The development of a system that would ease the diagnosis of heart diseases would also fasten the work of the cardiologic department in hospitals and facilitate the monitoring of patients with portable devices. This paper presents a tool for ECG signal analysis which is designed in Matlab. The Hermite transform domain ...
2106.14949
Damian Moctezuma Enriquez
Damian Moctezuma Enriquez, Eduardo Rodarte Leyva
Design for a blind stereoscopic picture taker
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
An Schematical Design for an Autonomous Picture taker used for obtaining Point clouds from pictures taken inside a House. In this case we are proposing the use of an equation programmed inside an embedded system that will be tracking the points inside a room and then, open the space between two cameras of same type i...
[ { "created": "Mon, 28 Jun 2021 19:14:29 GMT", "version": "v1" } ]
2021-06-30
[ [ "Enriquez", "Damian Moctezuma", "" ], [ "Leyva", "Eduardo Rodarte", "" ] ]
An Schematical Design for an Autonomous Picture taker used for obtaining Point clouds from pictures taken inside a House. In this case we are proposing the use of an equation programmed inside an embedded system that will be tracking the points inside a room and then, open the space between two cameras of same type in ...
2302.13797
Jianan Zhou
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)
null
10.1109/TKDE.2023.3249799
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dispatching vehicle fleets to serve flights is a key task in airport ground handling (AGH). Due to the notable growth of flights, it is challenging to simultaneously schedule multiple types of operations (services) for a large number of flights, where each type of operation is performed by one specific vehicle fleet....
[ { "created": "Mon, 27 Feb 2023 14:16:36 GMT", "version": "v1" } ]
2023-03-01
[ [ "Zhou", "Jianan", "" ], [ "Wu", "Yaoxin", "" ], [ "Cao", "Zhiguang", "" ], [ "Song", "Wen", "" ], [ "Zhang", "Jie", "" ], [ "Chen", "Zhenghua", "" ] ]
Dispatching vehicle fleets to serve flights is a key task in airport ground handling (AGH). Due to the notable growth of flights, it is challenging to simultaneously schedule multiple types of operations (services) for a large number of flights, where each type of operation is performed by one specific vehicle fleet. T...
1801.08583
Golshan Golnari
Golshan Golnari, Zhi-Li Zhang, Daniel Boley
Random Walk Fundamental Tensor and Its Applications to Network Analysis
null
null
null
null
cs.DM cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We first present a comprehensive review of various random walk metrics used in the literature and express them in a consistent framework. We then introduce fundamental tensor -- a generalization of the well-known fundamental matrix -- and show that classical random walk metrics can be derived from it in a unified man...
[ { "created": "Thu, 25 Jan 2018 20:01:07 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2018 20:24:46 GMT", "version": "v2" }, { "created": "Sat, 16 Jun 2018 04:35:31 GMT", "version": "v3" } ]
2018-06-19
[ [ "Golnari", "Golshan", "" ], [ "Zhang", "Zhi-Li", "" ], [ "Boley", "Daniel", "" ] ]
We first present a comprehensive review of various random walk metrics used in the literature and express them in a consistent framework. We then introduce fundamental tensor -- a generalization of the well-known fundamental matrix -- and show that classical random walk metrics can be derived from it in a unified manne...
1908.04478
EPTCS
Thomas Seiller (CNRS, France), Steffen Jost (LMU Munich, Germany)
Proceedings Third Joint Workshop on Developments in Implicit Computational complExity and Foundational & Practical Aspects of Resource Analysis
null
EPTCS 298, 2019
10.4204/EPTCS.298
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
These proceedings present the accepted regular papers and some selected extended abstracts from the 3rd joint DICE-FOPARA workshop, which was held in Prague, Czech Republic on April 6-7, 2019, as a part of ETAPS. The joint workshop provides synergies by combining two complementary communities: The 10th DICE worksho...
[ { "created": "Tue, 13 Aug 2019 04:09:00 GMT", "version": "v1" } ]
2019-08-14
[ [ "Seiller", "Thomas", "", "CNRS, France" ], [ "Jost", "Steffen", "", "LMU Munich, Germany" ] ]
These proceedings present the accepted regular papers and some selected extended abstracts from the 3rd joint DICE-FOPARA workshop, which was held in Prague, Czech Republic on April 6-7, 2019, as a part of ETAPS. The joint workshop provides synergies by combining two complementary communities: The 10th DICE workshop ex...
1811.08624
Steven Koester
Andrew W. Stephan, Jiaxi Hu, and Steven J. Koester
Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing
8 pages, 6 figures
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network. This combination of effects offers an increase in speed and efficiency over ...
[ { "created": "Wed, 21 Nov 2018 08:12:59 GMT", "version": "v1" } ]
2018-11-22
[ [ "Stephan", "Andrew W.", "" ], [ "Hu", "Jiaxi", "" ], [ "Koester", "Steven J.", "" ] ]
We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network. This combination of effects offers an increase in speed and efficiency over ot...
1106.2325
Shujie Hou
Shujie Hou, Robert C. Qiu, Zhe Chen, Zhen Hu
SVM and Dimensionality Reduction in Cognitive Radio with Experimental Validation
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a trend of applying machine learning algorithms to cognitive radio. One fundamental open problem is to determine how and where these algorithms are useful in a cognitive radio network. In radar and sensing signal processing, the control of degrees of freedom (DOF)---or dimensionality---is the first step, cal...
[ { "created": "Sun, 12 Jun 2011 18:03:06 GMT", "version": "v1" } ]
2011-06-14
[ [ "Hou", "Shujie", "" ], [ "Qiu", "Robert C.", "" ], [ "Chen", "Zhe", "" ], [ "Hu", "Zhen", "" ] ]
There is a trend of applying machine learning algorithms to cognitive radio. One fundamental open problem is to determine how and where these algorithms are useful in a cognitive radio network. In radar and sensing signal processing, the control of degrees of freedom (DOF)---or dimensionality---is the first step, calle...
2106.00942
Kourosh Hakhamaneshi
Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The goal of Multi-task Bayesian Optimization (MBO) is to minimize the number of queries required to accurately optimize a target black-box function, given access to offline evaluations of other auxiliary functions. When offline datasets are large, the scalability of prior approaches comes at the expense of expressivi...
[ { "created": "Wed, 2 Jun 2021 05:03:38 GMT", "version": "v1" }, { "created": "Thu, 10 Mar 2022 17:53:59 GMT", "version": "v2" } ]
2022-03-11
[ [ "Hakhamaneshi", "Kourosh", "" ], [ "Abbeel", "Pieter", "" ], [ "Stojanovic", "Vladimir", "" ], [ "Grover", "Aditya", "" ] ]
The goal of Multi-task Bayesian Optimization (MBO) is to minimize the number of queries required to accurately optimize a target black-box function, given access to offline evaluations of other auxiliary functions. When offline datasets are large, the scalability of prior approaches comes at the expense of expressivity...
1702.07205
Waldemar Koczkodaj Prof.
W.W. Koczkodaj and J.-P. Magnot and J. Mazurek and J.F. Peters and H. Rakhshani and M. Soltys and D. Strza{\l}ka and J. Szybowski and A. Tozzi
On normalization of inconsistency indicators in pairwise comparisons
15 pages, 3 figures
null
null
null
cs.DM
http://creativecommons.org/publicdomain/zero/1.0/
In this study, we provide mathematical and practice-driven justification for using $[0,1]$ normalization of inconsistency indicators in pairwise comparisons. The need for normalization, as well as problems with the lack of normalization, are presented. A new type of paradox of infinity is described.
[ { "created": "Thu, 23 Feb 2017 13:33:51 GMT", "version": "v1" }, { "created": "Sat, 25 Feb 2017 17:48:19 GMT", "version": "v2" } ]
2017-02-28
[ [ "Koczkodaj", "W. W.", "" ], [ "Magnot", "J. -P.", "" ], [ "Mazurek", "J.", "" ], [ "Peters", "J. F.", "" ], [ "Rakhshani", "H.", "" ], [ "Soltys", "M.", "" ], [ "Strzałka", "D.", "" ], [ "Szybowski"...
In this study, we provide mathematical and practice-driven justification for using $[0,1]$ normalization of inconsistency indicators in pairwise comparisons. The need for normalization, as well as problems with the lack of normalization, are presented. A new type of paradox of infinity is described.
2210.17505
Roberto Casadei
Roberto Casadei, Stefano Mariani, Danilo Pianini, Mirko Viroli, Franco Zambonelli
Space-Fluid Adaptive Sampling by Self-Organisation
null
Logical Methods in Computer Science, Volume 19, Issue 4 (December 18, 2023) lmcs:10233
10.46298/lmcs-19(4:29)2023
null
cs.DC cs.AI cs.MA cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes. Especially in large-scale settings, the problem can be addressed through decentralised and situated computing systems: nodes can locally sen...
[ { "created": "Mon, 31 Oct 2022 17:29:41 GMT", "version": "v1" }, { "created": "Thu, 16 Mar 2023 17:31:22 GMT", "version": "v2" }, { "created": "Tue, 1 Aug 2023 07:38:51 GMT", "version": "v3" }, { "created": "Thu, 5 Oct 2023 10:46:56 GMT", "version": "v4" }, { "cre...
2024-02-14
[ [ "Casadei", "Roberto", "" ], [ "Mariani", "Stefano", "" ], [ "Pianini", "Danilo", "" ], [ "Viroli", "Mirko", "" ], [ "Zambonelli", "Franco", "" ] ]
A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes. Especially in large-scale settings, the problem can be addressed through decentralised and situated computing systems: nodes can locally sense...
2107.12235
Marco De Nadai
Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo, Riccardo Gallotti, Filippo Privitera, Bruno Lepri and Marco De Nadai
Living in a pandemic: adaptation of individual mobility and social activity in the US
null
null
null
null
cs.CY cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. In this work, we study how individuals adapted their daily movements and person-to-person contact patterns over time in response to the COVID-19 pandemic a...
[ { "created": "Mon, 26 Jul 2021 14:27:22 GMT", "version": "v1" }, { "created": "Tue, 17 Aug 2021 13:18:43 GMT", "version": "v2" } ]
2021-08-18
[ [ "Lucchini", "Lorenzo", "" ], [ "Centellegher", "Simone", "" ], [ "Pappalardo", "Luca", "" ], [ "Gallotti", "Riccardo", "" ], [ "Privitera", "Filippo", "" ], [ "Lepri", "Bruno", "" ], [ "De Nadai", "Marco", ...
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. In this work, we study how individuals adapted their daily movements and person-to-person contact patterns over time in response to the COVID-19 pandemic and...
2402.13858
Qiang Huang
Qiang Huang, Yanhao Wang, Yiqun Sun, Anthony K. H. Tung
Diversity-Aware $k$-Maximum Inner Product Search Revisited
14 pages, 9 figures, and 5 tables
null
null
null
cs.IR cs.DB cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The $k$-Maximum Inner Product Search ($k$MIPS) serves as a foundational component in recommender systems and various data mining tasks. However, while most existing $k$MIPS approaches prioritize the efficient retrieval of highly relevant items for users, they often neglect an equally pivotal facet of search results: ...
[ { "created": "Wed, 21 Feb 2024 15:09:51 GMT", "version": "v1" } ]
2024-02-22
[ [ "Huang", "Qiang", "" ], [ "Wang", "Yanhao", "" ], [ "Sun", "Yiqun", "" ], [ "Tung", "Anthony K. H.", "" ] ]
The $k$-Maximum Inner Product Search ($k$MIPS) serves as a foundational component in recommender systems and various data mining tasks. However, while most existing $k$MIPS approaches prioritize the efficient retrieval of highly relevant items for users, they often neglect an equally pivotal facet of search results: \e...
1901.09097
Hesham Mohamed Eraqi
Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
arXiv admin note: substantial text overlap with arXiv:1706.09498
Journal of Advanced Transportation, Machine Learning in Transportation (MLT) Issue, 2019
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years. Nearly fifth of these accidents are caused by distracted drivers. Existing work of distracted driver detection is concerned with a sm...
[ { "created": "Tue, 22 Jan 2019 10:47:00 GMT", "version": "v1" } ]
2019-01-29
[ [ "Eraqi", "Hesham M.", "" ], [ "Abouelnaga", "Yehya", "" ], [ "Saad", "Mohamed H.", "" ], [ "Moustafa", "Mohamed N.", "" ] ]
The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years. Nearly fifth of these accidents are caused by distracted drivers. Existing work of distracted driver detection is concerned with a smal...
2204.10606
Yuezun Li
Xianglong and Yuezun Li and Haipeng Qu and Junyu Dong
Enhancing the Transferability via Feature-Momentum Adversarial Attack
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transferable adversarial attack has drawn increasing attention due to their practical threaten to real-world applications. In particular, the feature-level adversarial attack is one recent branch that can enhance the transferability via disturbing the intermediate features. The existing methods usually create a guida...
[ { "created": "Fri, 22 Apr 2022 09:52:49 GMT", "version": "v1" } ]
2022-04-25
[ [ "Xianglong", "", "" ], [ "Li", "Yuezun", "" ], [ "Qu", "Haipeng", "" ], [ "Dong", "Junyu", "" ] ]
Transferable adversarial attack has drawn increasing attention due to their practical threaten to real-world applications. In particular, the feature-level adversarial attack is one recent branch that can enhance the transferability via disturbing the intermediate features. The existing methods usually create a guidanc...
2403.14083
Thejan Rajapakshe
Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Bjorn W. Schuller, Carlos Busso
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition
Submitted to IEEE Transactions on Affective Computing on February 19, 2024. arXiv admin note: text overlap with arXiv:2305.14402
null
10.1109/ACCESS.2024.3439604
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Speech Emotion Recognition (SER) is crucial for enabling computers to understand the emotions conveyed in human communication. With recent advancements in Deep Learning (DL), the performance of SER models has significantly improved. However, designing an optimal DL architecture requires specialised knowledge and expe...
[ { "created": "Thu, 21 Mar 2024 02:26:30 GMT", "version": "v1" } ]
2024-08-09
[ [ "Rajapakshe", "Thejan", "" ], [ "Rana", "Rajib", "" ], [ "Khalifa", "Sara", "" ], [ "Sisman", "Berrak", "" ], [ "Schuller", "Bjorn W.", "" ], [ "Busso", "Carlos", "" ] ]
Speech Emotion Recognition (SER) is crucial for enabling computers to understand the emotions conveyed in human communication. With recent advancements in Deep Learning (DL), the performance of SER models has significantly improved. However, designing an optimal DL architecture requires specialised knowledge and experi...
2310.19626
Gengchen Mai
Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, and Tianming Liu
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
null
null
null
null
cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities. However, the swift evolution of AGI has also raised critical questions about its responsible d...
[ { "created": "Mon, 30 Oct 2023 15:19:15 GMT", "version": "v1" } ]
2023-10-31
[ [ "Liu", "Zhengliang", "" ], [ "Li", "Yiwei", "" ], [ "Cao", "Qian", "" ], [ "Chen", "Junwen", "" ], [ "Yang", "Tianze", "" ], [ "Wu", "Zihao", "" ], [ "Hale", "John", "" ], [ "Gibbs", "John", ...
Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities. However, the swift evolution of AGI has also raised critical questions about its responsible dep...
2305.17671
Benjamin Bisping
Benjamin Bisping, David N. Jansen
Linear-Time--Branching-Time Spectroscopy Accounting for Silent Steps
null
null
null
null
cs.LO cs.GT
http://creativecommons.org/licenses/by/4.0/
We provide the first generalized game characterization of van Glabbeek's linear-time--branching-time spectrum with silent steps. Thereby, one multi-dimensional energy game can be used to decide a wide array of behavioral equivalences between stability-respecting branching bisimilarity and weak trace equivalence in on...
[ { "created": "Sun, 28 May 2023 09:27:02 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 16:06:57 GMT", "version": "v2" } ]
2023-10-18
[ [ "Bisping", "Benjamin", "" ], [ "Jansen", "David N.", "" ] ]
We provide the first generalized game characterization of van Glabbeek's linear-time--branching-time spectrum with silent steps. Thereby, one multi-dimensional energy game can be used to decide a wide array of behavioral equivalences between stability-respecting branching bisimilarity and weak trace equivalence in one ...
2004.03096
Yiming Cui
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
Is Graph Structure Necessary for Multi-hop Question Answering?
6 pages, to appear at EMNLP 2020
null
10.18653/v1/2020.emnlp-main.583
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, attempting to model texts as graph structure and introducing graph neural networks to deal with it has become a trend in many NLP research areas. In this paper, we investigate whether the graph structure is necessary for multi-hop question answering. Our analysis is centered on HotpotQA. We construct a stro...
[ { "created": "Tue, 7 Apr 2020 02:59:42 GMT", "version": "v1" }, { "created": "Thu, 29 Oct 2020 09:29:19 GMT", "version": "v2" } ]
2020-12-14
[ [ "Shao", "Nan", "" ], [ "Cui", "Yiming", "" ], [ "Liu", "Ting", "" ], [ "Wang", "Shijin", "" ], [ "Hu", "Guoping", "" ] ]
Recently, attempting to model texts as graph structure and introducing graph neural networks to deal with it has become a trend in many NLP research areas. In this paper, we investigate whether the graph structure is necessary for multi-hop question answering. Our analysis is centered on HotpotQA. We construct a strong...
1811.02465
Gennaro Notomista
Gennaro Notomista and Magnus Egerstedt
Constraint-Driven Coordinated Control of Multi-Robot Systems
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a reformulation--framed as a constrained optimization problem--of multi-robot tasks which are encoded through a cost function that is to be minimized. The advantages of this approach are multiple. The constraint-based formulation provides a natural way of enabling long-term robot autonomy app...
[ { "created": "Sun, 4 Nov 2018 23:27:48 GMT", "version": "v1" }, { "created": "Mon, 2 Sep 2019 21:48:09 GMT", "version": "v2" } ]
2019-09-04
[ [ "Notomista", "Gennaro", "" ], [ "Egerstedt", "Magnus", "" ] ]
In this paper we present a reformulation--framed as a constrained optimization problem--of multi-robot tasks which are encoded through a cost function that is to be minimized. The advantages of this approach are multiple. The constraint-based formulation provides a natural way of enabling long-term robot autonomy appli...
2101.07423
G\"ozde \"Ozcan
G\"ozde \"Ozcan, Armin Moharrer, Stratis Ioannidis
Submodular Maximization via Taylor Series Approximation
15 pages, 2 figures, to be published in the SIAM International Conference on Data Mining proceedings (SDM 2021)
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We study submodular maximization problems with matroid constraints, in particular, problems where the objective can be expressed via compositions of analytic and multilinear functions. We show that for functions of this form, the so-called continuous greedy algorithm attains a ratio arbitrarily close to $(1-1/e) \app...
[ { "created": "Tue, 19 Jan 2021 02:41:45 GMT", "version": "v1" } ]
2021-01-20
[ [ "Özcan", "Gözde", "" ], [ "Moharrer", "Armin", "" ], [ "Ioannidis", "Stratis", "" ] ]
We study submodular maximization problems with matroid constraints, in particular, problems where the objective can be expressed via compositions of analytic and multilinear functions. We show that for functions of this form, the so-called continuous greedy algorithm attains a ratio arbitrarily close to $(1-1/e) \appro...
2005.14156
Mohammad Sina Kiarostami
Mohammad Sina Kiarostami and Saleh Khalaj Monfared and Mohammadreza Daneshvaramoli and Ali Oliayi and Negar Yousefian and Dara Rahmati and Saeid Gorgin
Unlucky Explorer: A Complete non-Overlapping Map Exploration
null
null
null
null
cs.AI cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of problems, particularly general problems. One of these kinds of problems is Exploration, which states that an unknown environment must be ex...
[ { "created": "Thu, 28 May 2020 17:19:24 GMT", "version": "v1" } ]
2020-05-29
[ [ "Kiarostami", "Mohammad Sina", "" ], [ "Monfared", "Saleh Khalaj", "" ], [ "Daneshvaramoli", "Mohammadreza", "" ], [ "Oliayi", "Ali", "" ], [ "Yousefian", "Negar", "" ], [ "Rahmati", "Dara", "" ], [ "Gorgin", "...
Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of problems, particularly general problems. One of these kinds of problems is Exploration, which states that an unknown environment must be expl...
2010.00516
Meenakshi Khosla
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski and Mert R. Sabuncu
Neural encoding with visual attention
NeurIPS 2020
null
null
null
cs.CV cs.LG q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual perception is critically influenced by the focus of attention. Due to limited resources, it is well known that neural representations are biased in favor of attended locations. Using concurrent eye-tracking and functional Magnetic Resonance Imaging (fMRI) recordings from a large cohort of human subjects watchi...
[ { "created": "Thu, 1 Oct 2020 16:04:21 GMT", "version": "v1" } ]
2020-10-02
[ [ "Khosla", "Meenakshi", "" ], [ "Ngo", "Gia H.", "" ], [ "Jamison", "Keith", "" ], [ "Kuceyeski", "Amy", "" ], [ "Sabuncu", "Mert R.", "" ] ]
Visual perception is critically influenced by the focus of attention. Due to limited resources, it is well known that neural representations are biased in favor of attended locations. Using concurrent eye-tracking and functional Magnetic Resonance Imaging (fMRI) recordings from a large cohort of human subjects watching...
2108.13817
Pengfei Zhu
Pengfei Zhu and Xiaoguang Li and Jian Li and Hai Zhao
Unsupervised Open-Domain Question Answering
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Open-domain Question Answering (ODQA) has achieved significant results in terms of supervised learning manner. However, data annotation cannot also be irresistible for its huge demand in an open domain. Though unsupervised QA or unsupervised Machine Reading Comprehension (MRC) has been tried more or less, unsupervise...
[ { "created": "Tue, 31 Aug 2021 13:19:52 GMT", "version": "v1" } ]
2021-09-01
[ [ "Zhu", "Pengfei", "" ], [ "Li", "Xiaoguang", "" ], [ "Li", "Jian", "" ], [ "Zhao", "Hai", "" ] ]
Open-domain Question Answering (ODQA) has achieved significant results in terms of supervised learning manner. However, data annotation cannot also be irresistible for its huge demand in an open domain. Though unsupervised QA or unsupervised Machine Reading Comprehension (MRC) has been tried more or less, unsupervised ...
2111.03550
Luis Miguel Contreras Murillo
Luis M. Contreras, Jose A. Ordonez-Lucena
On Slice Isolation Options in the Transport Network and Associated Feasibility Indicators
5 pages, 2 tables, 1 figure, conference
null
10.1109/NetSoft51509.2021.9492546
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Isolation is one of the more relevant attributes associated to the idea of network slicing, introduced by 5G services. Through isolation it is expected that slices from different customers could gracefully coexist without interfering each other, in the sense that whatever misbehavior or unforeseen demand from one sli...
[ { "created": "Fri, 5 Nov 2021 15:14:54 GMT", "version": "v1" } ]
2021-11-08
[ [ "Contreras", "Luis M.", "" ], [ "Ordonez-Lucena", "Jose A.", "" ] ]
Isolation is one of the more relevant attributes associated to the idea of network slicing, introduced by 5G services. Through isolation it is expected that slices from different customers could gracefully coexist without interfering each other, in the sense that whatever misbehavior or unforeseen demand from one slice...
2112.03174
Raghav Rawat
Raghav Rawat, Shreyash Gupta, Shreyas Mohapatra, Sujata Priyambada Mishra, Sreesankar Rajagopal
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach
6 pages, 8 figures
null
null
null
cs.LG cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper elucidates a model for acoustic single and multi-tone classification in resource constrained edge devices. The proposed model is of State-of-the-art Fast Accurate Stable Tiny Gated Recurrent Neural Network. This model has resulted in improved performance metrics and lower size compared to previous hypothes...
[ { "created": "Mon, 6 Dec 2021 17:06:48 GMT", "version": "v1" } ]
2021-12-07
[ [ "Rawat", "Raghav", "" ], [ "Gupta", "Shreyash", "" ], [ "Mohapatra", "Shreyas", "" ], [ "Mishra", "Sujata Priyambada", "" ], [ "Rajagopal", "Sreesankar", "" ] ]
This paper elucidates a model for acoustic single and multi-tone classification in resource constrained edge devices. The proposed model is of State-of-the-art Fast Accurate Stable Tiny Gated Recurrent Neural Network. This model has resulted in improved performance metrics and lower size compared to previous hypothesiz...
2306.07730
Paul Streli
Valentin Bieri, Paul Streli, Berken Utku Demirel and Christian Holz
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
Conference on Uncertainty in Artificial Intelligence (UAI) 2023. The first two authors contributed equally
null
null
null
cs.LG cs.CV eess.SP
http://creativecommons.org/licenses/by-nc-sa/4.0/
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). We consider the evolution of the heart rate in the context of a discrete-time stochastic process that we represent as a hidden Markov model...
[ { "created": "Tue, 13 Jun 2023 12:36:00 GMT", "version": "v1" }, { "created": "Wed, 14 Jun 2023 16:29:53 GMT", "version": "v2" } ]
2023-06-16
[ [ "Bieri", "Valentin", "" ], [ "Streli", "Paul", "" ], [ "Demirel", "Berken Utku", "" ], [ "Holz", "Christian", "" ] ]
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). We consider the evolution of the heart rate in the context of a discrete-time stochastic process that we represent as a hidden Markov model. ...
1709.00779
Yingzhe Li
Yingzhe Li, Francois Baccelli, Jeffrey G. Andrews, Jianzhong Charlie Zhang
Directional Cell Search Delay Analysis for Cellular Networks with Static Users
Submitted to IEEE Transactions on Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cell search is the process for a user to detect its neighboring base stations (BSs) and make a cell selection decision. Due to the importance of beamforming gain in millimeter wave (mmWave) and massive MIMO cellular networks, the directional cell search delay performance is investigated. A cellular network with fixed...
[ { "created": "Mon, 4 Sep 2017 00:58:16 GMT", "version": "v1" } ]
2017-09-05
[ [ "Li", "Yingzhe", "" ], [ "Baccelli", "Francois", "" ], [ "Andrews", "Jeffrey G.", "" ], [ "Zhang", "Jianzhong Charlie", "" ] ]
Cell search is the process for a user to detect its neighboring base stations (BSs) and make a cell selection decision. Due to the importance of beamforming gain in millimeter wave (mmWave) and massive MIMO cellular networks, the directional cell search delay performance is investigated. A cellular network with fixed B...
1106.1311
Bart Demoen
Phuong-Lan Nguyen and Bart Demoen
Representation Sharing for Prolog
37 pages, 11 figures, 3 tables; To appear in Theory and Practice of Logic Programming (TPLP)
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Representation sharing can reduce the memory footprint of a program by sharing one representation between duplicate terms. The most common implementation of representation sharing in functional programming systems is known as hash-consing. In the context of Prolog, representation sharing has been given little attenti...
[ { "created": "Tue, 7 Jun 2011 10:34:53 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2011 07:09:53 GMT", "version": "v2" } ]
2011-07-01
[ [ "Nguyen", "Phuong-Lan", "" ], [ "Demoen", "Bart", "" ] ]
Representation sharing can reduce the memory footprint of a program by sharing one representation between duplicate terms. The most common implementation of representation sharing in functional programming systems is known as hash-consing. In the context of Prolog, representation sharing has been given little attention...
2406.12058
Seyedali Mohammadi
Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, and Manas Gaur
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions
26 pages, including reference and appendix sections, 8 figures, and 16 tables
null
null
null
cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Language Models (LMs) are being proposed for mental health applications where the heightened risk of adverse outcomes means predictive performance may not be a sufficient litmus test of a model's utility in clinical practice. A model that can be trusted for practice should have a correspondence between explanation an...
[ { "created": "Mon, 17 Jun 2024 19:50:40 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2024 18:19:39 GMT", "version": "v2" }, { "created": "Fri, 28 Jun 2024 04:08:12 GMT", "version": "v3" } ]
2024-07-01
[ [ "Mohammadi", "Seyedali", "" ], [ "Raff", "Edward", "" ], [ "Malekar", "Jinendra", "" ], [ "Palit", "Vedant", "" ], [ "Ferraro", "Francis", "" ], [ "Gaur", "Manas", "" ] ]
Language Models (LMs) are being proposed for mental health applications where the heightened risk of adverse outcomes means predictive performance may not be a sufficient litmus test of a model's utility in clinical practice. A model that can be trusted for practice should have a correspondence between explanation and ...
2006.15482
Rui Liu
Chao Huang and Rui Liu
Robot Inner Attention Modeling for Task-Adaptive Teaming of Heterogeneous Multi Robots
submission for the Robotics Science and Systems (RSS) 2020 workshop -- Heterogeneous Multi-Robot Task Allocation and Coordination
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Attracted by team scale and function diversity, a heterogeneous multi-robot system (HMRS), where multiple robots with different functions and numbers are coordinated to perform tasks, has been widely used for complex and large-scale scenarios, including disaster search and rescue, site surveillance, and social securi...
[ { "created": "Sun, 28 Jun 2020 01:25:35 GMT", "version": "v1" }, { "created": "Sun, 14 Mar 2021 20:19:14 GMT", "version": "v2" } ]
2021-03-16
[ [ "Huang", "Chao", "" ], [ "Liu", "Rui", "" ] ]
Attracted by team scale and function diversity, a heterogeneous multi-robot system (HMRS), where multiple robots with different functions and numbers are coordinated to perform tasks, has been widely used for complex and large-scale scenarios, including disaster search and rescue, site surveillance, and social security...
1004.4759
Mikkel Baun Kj{\ae}rgaard
Mikkel Baun Kj{\ae}rgaard
Indoor Positioning with Radio Location Fingerprinting
PhD Dissertation, Aarhus University
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasingly important requirement for many novel applications is sensing the positions of people, equipment, etc. GPS technology has proven itself as a successfull technology for positioning in outdoor environments but indoor no technology has yet gained a similar wide-scale adoption. A promising indoor positioni...
[ { "created": "Tue, 27 Apr 2010 10:47:21 GMT", "version": "v1" } ]
2010-04-28
[ [ "Kjærgaard", "Mikkel Baun", "" ] ]
An increasingly important requirement for many novel applications is sensing the positions of people, equipment, etc. GPS technology has proven itself as a successfull technology for positioning in outdoor environments but indoor no technology has yet gained a similar wide-scale adoption. A promising indoor positioning...
2209.09178
Yunsheng Ma
Yunsheng Ma and Ziran Wang
ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
7 pages, 3 figures, 2 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Ensuring traffic safety and mitigating accidents in modern driving is of paramount importance, and computer vision technologies have the potential to significantly contribute to this goal. This paper presents a multi-modal Vision Transformer for Driver Distraction Detection (termed ViT-DD), which incorporates inducti...
[ { "created": "Mon, 19 Sep 2022 16:56:51 GMT", "version": "v1" }, { "created": "Wed, 28 Sep 2022 16:16:13 GMT", "version": "v2" }, { "created": "Sat, 13 May 2023 02:51:53 GMT", "version": "v3" }, { "created": "Tue, 6 Feb 2024 17:48:10 GMT", "version": "v4" } ]
2024-02-07
[ [ "Ma", "Yunsheng", "" ], [ "Wang", "Ziran", "" ] ]
Ensuring traffic safety and mitigating accidents in modern driving is of paramount importance, and computer vision technologies have the potential to significantly contribute to this goal. This paper presents a multi-modal Vision Transformer for Driver Distraction Detection (termed ViT-DD), which incorporates inductive...
1811.12611
Binghui Chen
Binghui Chen, Weihong Deng, Haifeng Shen
Virtual Class Enhanced Discriminative Embedding Learning
NeurIPS 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged. In this paper, we propose a novel yet extremely simple method \textbf{Virtual Softmax} to enhance the discriminative property of learned f...
[ { "created": "Fri, 30 Nov 2018 04:43:20 GMT", "version": "v1" } ]
2018-12-03
[ [ "Chen", "Binghui", "" ], [ "Deng", "Weihong", "" ], [ "Shen", "Haifeng", "" ] ]
Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged. In this paper, we propose a novel yet extremely simple method \textbf{Virtual Softmax} to enhance the discriminative property of learned fea...
1909.00324
Yunlong Liang
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
Accepted at EMNLP 2019 as a long paper. Code is available at https://github.com/XL2248/AGDT
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aspect based sentiment analysis (ABSA) aims to identify the sentiment polarity towards the given aspect in a sentence, while previous models typically exploit an aspect-independent (weakly associative) encoder for sentence representation generation. In this paper, we propose a novel Aspect-Guided Deep Transition mode...
[ { "created": "Sun, 1 Sep 2019 05:22:30 GMT", "version": "v1" } ]
2019-09-04
[ [ "Liang", "Yunlong", "" ], [ "Meng", "Fandong", "" ], [ "Zhang", "Jinchao", "" ], [ "Xu", "Jinan", "" ], [ "Chen", "Yufeng", "" ], [ "Zhou", "Jie", "" ] ]
Aspect based sentiment analysis (ABSA) aims to identify the sentiment polarity towards the given aspect in a sentence, while previous models typically exploit an aspect-independent (weakly associative) encoder for sentence representation generation. In this paper, we propose a novel Aspect-Guided Deep Transition model,...
2402.08576
Keegan Harris
Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
Regret Minimization in Stackelberg Games with Side Information
null
null
null
null
cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithms for playing in Stackelberg games have been deployed in real-world domains including airport security, anti-poaching efforts, and cyber-crime prevention. However, these algorithms often fail to take into consideration the additional information available to each player (e.g. traffic patterns, weather condit...
[ { "created": "Tue, 13 Feb 2024 16:24:57 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 19:20:51 GMT", "version": "v2" }, { "created": "Thu, 23 May 2024 14:39:31 GMT", "version": "v3" } ]
2024-05-24
[ [ "Harris", "Keegan", "" ], [ "Wu", "Zhiwei Steven", "" ], [ "Balcan", "Maria-Florina", "" ] ]
Algorithms for playing in Stackelberg games have been deployed in real-world domains including airport security, anti-poaching efforts, and cyber-crime prevention. However, these algorithms often fail to take into consideration the additional information available to each player (e.g. traffic patterns, weather conditio...
2401.01987
Leon Scharw\"achter
Leon Scharw\"achter and Sebastian Otte
Representation Learning of Multivariate Time Series using Attention and Adversarial Training
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A critical factor in trustworthy machine learning is to develop robust representations of the training data. Only under this guarantee methods are legitimate to artificially generate data, for example, to counteract imbalanced datasets or provide counterfactual explanations for blackbox decision-making systems. In re...
[ { "created": "Wed, 3 Jan 2024 21:32:46 GMT", "version": "v1" } ]
2024-01-05
[ [ "Scharwächter", "Leon", "" ], [ "Otte", "Sebastian", "" ] ]
A critical factor in trustworthy machine learning is to develop robust representations of the training data. Only under this guarantee methods are legitimate to artificially generate data, for example, to counteract imbalanced datasets or provide counterfactual explanations for blackbox decision-making systems. In rece...
1812.10891
EPTCS
Kenichi Asai (Ochanomizu University), Mark Shinwell (Jane Street Europe)
Proceedings ML Family Workshop / OCaml Users and Developers workshops
null
EPTCS 285, 2018
10.4204/EPTCS.285
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This volume contains the joint post-proceedings of the 2016 edition of the ML Family Workshop and OCaml Users and Developers Workshop, held in Nara, Japan, in affiliation with ICFP 2016.
[ { "created": "Fri, 28 Dec 2018 04:40:03 GMT", "version": "v1" } ]
2018-12-31
[ [ "Asai", "Kenichi", "", "Ochanomizu University" ], [ "Shinwell", "Mark", "", "Jane Street\n Europe" ] ]
This volume contains the joint post-proceedings of the 2016 edition of the ML Family Workshop and OCaml Users and Developers Workshop, held in Nara, Japan, in affiliation with ICFP 2016.
2110.08257
Leman Akoglu
Guilherme D. F. Silva, Leman Akoglu, Robson L. F. Cordeiro
C-AllOut: Catching & Calling Outliers by Type
9+4 pages, 3 figures, 11 tables
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Given an unlabeled dataset, wherein we have access only to pairwise similarities (or distances), how can we effectively (1) detect outliers, and (2) annotate/tag the outliers by type? Outlier detection has a large literature, yet we find a key gap in the field: to our knowledge, no existing work addresses the outlier...
[ { "created": "Wed, 13 Oct 2021 14:25:52 GMT", "version": "v1" } ]
2021-10-19
[ [ "Silva", "Guilherme D. F.", "" ], [ "Akoglu", "Leman", "" ], [ "Cordeiro", "Robson L. F.", "" ] ]
Given an unlabeled dataset, wherein we have access only to pairwise similarities (or distances), how can we effectively (1) detect outliers, and (2) annotate/tag the outliers by type? Outlier detection has a large literature, yet we find a key gap in the field: to our knowledge, no existing work addresses the outlier a...
1909.03315
Martin Andrews
Martin Andrews, Sam Witteveen
Relationships from Entity Stream
Accepted paper for the ViGIL workshop at NIPS 2017. (4 pages + references)
null
null
null
cs.CL cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relational reasoning is a central component of intelligent behavior, but has proven difficult for neural networks to learn. The Relation Network (RN) module was recently proposed by DeepMind to solve such problems, and demonstrated state-of-the-art results on a number of datasets. However, the RN module scales quadra...
[ { "created": "Sat, 7 Sep 2019 18:24:57 GMT", "version": "v1" } ]
2019-09-10
[ [ "Andrews", "Martin", "" ], [ "Witteveen", "Sam", "" ] ]
Relational reasoning is a central component of intelligent behavior, but has proven difficult for neural networks to learn. The Relation Network (RN) module was recently proposed by DeepMind to solve such problems, and demonstrated state-of-the-art results on a number of datasets. However, the RN module scales quadrati...
1709.05958
Matthew Peveler
Matthew Peveler, Naveen Sundar Govindarajulu, Selmer Bringsjord, Atriya Sen, Biplav Srivastava, Kartik Talamadupula, Hui Su
Toward Cognitive and Immersive Systems: Experiments in a Cognitive Microworld
Submitted to Advances of Cognitive Systems 2018
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As computational power has continued to increase, and sensors have become more accurate, the corresponding advent of systems that are at once cognitive and immersive has arrived. These \textit{cognitive and immersive systems} (CAISs) fall squarely into the intersection of AI with HCI/HRI: such systems interact with a...
[ { "created": "Thu, 14 Sep 2017 21:52:54 GMT", "version": "v1" }, { "created": "Tue, 18 Dec 2018 17:26:47 GMT", "version": "v2" } ]
2024-06-10
[ [ "Peveler", "Matthew", "" ], [ "Govindarajulu", "Naveen Sundar", "" ], [ "Bringsjord", "Selmer", "" ], [ "Sen", "Atriya", "" ], [ "Srivastava", "Biplav", "" ], [ "Talamadupula", "Kartik", "" ], [ "Su", "Hui", ...
As computational power has continued to increase, and sensors have become more accurate, the corresponding advent of systems that are at once cognitive and immersive has arrived. These \textit{cognitive and immersive systems} (CAISs) fall squarely into the intersection of AI with HCI/HRI: such systems interact with and...
0710.4832
EDA Publishing Association
Massimo Conti
SystemC Analysis of a New Dynamic Power Management Architecture
Submitted on behalf of EDAA (http://www.edaa.com/)
Dans Design, Automation and Test in Europe | Designers'Forum - DATE'05, Munich : Allemagne (2005)
null
null
cs.AR
null
This paper presents a new dynamic power management architecture of a System on Chip. The Power State Machine describing the status of the core follows the recommendations of the ACPI standard. The algorithm controls the power states of each block on the basis of battery status, chip temperature and a user defined tas...
[ { "created": "Thu, 25 Oct 2007 12:10:19 GMT", "version": "v1" } ]
2011-11-09
[ [ "Conti", "Massimo", "" ] ]
This paper presents a new dynamic power management architecture of a System on Chip. The Power State Machine describing the status of the core follows the recommendations of the ACPI standard. The algorithm controls the power states of each block on the basis of battery status, chip temperature and a user defined task ...