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1509.05452
Anant Baijal
Anant Baijal, Julia Kim, Carmen Branje, Frank Russo, Deborah I. Fels
Composing vibrotactile music: A multisensory experience with the Emoti-chair
IEEE HAPTICS Symposium 2012
null
10.1109/HAPTIC.2012.6183839
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Emoti-Chair is a novel technology to enhance entertainment through vibrotactile stimulation. We assessed the experience of this technology in two workshops. In the first workshop, deaf film-makers experimented with creating vibetracks for a movie clip using a professional movie editing software. In the second wor...
[ { "created": "Thu, 17 Sep 2015 21:52:12 GMT", "version": "v1" } ]
2015-09-21
[ [ "Baijal", "Anant", "" ], [ "Kim", "Julia", "" ], [ "Branje", "Carmen", "" ], [ "Russo", "Frank", "" ], [ "Fels", "Deborah I.", "" ] ]
The Emoti-Chair is a novel technology to enhance entertainment through vibrotactile stimulation. We assessed the experience of this technology in two workshops. In the first workshop, deaf film-makers experimented with creating vibetracks for a movie clip using a professional movie editing software. In the second works...
2306.17162
Simeon Adebola
Simeon Adebola, Rishi Parikh, Mark Presten, Satvik Sharma, Shrey Aeron, Ananth Rao, Sandeep Mukherjee, Tomson Qu, Christina Wistrom, Eugen Solowjow, Ken Goldberg
Can Machines Garden? Systematically Comparing the AlphaGarden vs. Professional Horticulturalists
International Conference on Robotics and Automation(ICRA) 2023 Oral
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The AlphaGarden is an automated testbed for indoor polyculture farming which combines a first-order plant simulator, a gantry robot, a seed planting algorithm, plant phenotyping and tracking algorithms, irrigation sensors and algorithms, and custom pruning tools and algorithms. In this paper, we systematically compar...
[ { "created": "Thu, 29 Jun 2023 17:59:05 GMT", "version": "v1" } ]
2023-06-30
[ [ "Adebola", "Simeon", "" ], [ "Parikh", "Rishi", "" ], [ "Presten", "Mark", "" ], [ "Sharma", "Satvik", "" ], [ "Aeron", "Shrey", "" ], [ "Rao", "Ananth", "" ], [ "Mukherjee", "Sandeep", "" ], [ "Qu"...
The AlphaGarden is an automated testbed for indoor polyculture farming which combines a first-order plant simulator, a gantry robot, a seed planting algorithm, plant phenotyping and tracking algorithms, irrigation sensors and algorithms, and custom pruning tools and algorithms. In this paper, we systematically compare ...
2203.16797
Chuizheng Meng
Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Physics-informed machine learning (PIML), referring to the combination of prior knowledge of physics, which is the high level abstraction of natural phenomenons and human behaviours in the long history, with data-driven machine learning models, has emerged as an effective way to mitigate the shortage of training data...
[ { "created": "Thu, 31 Mar 2022 04:58:27 GMT", "version": "v1" } ]
2022-04-01
[ [ "Meng", "Chuizheng", "" ], [ "Seo", "Sungyong", "" ], [ "Cao", "Defu", "" ], [ "Griesemer", "Sam", "" ], [ "Liu", "Yan", "" ] ]
Physics-informed machine learning (PIML), referring to the combination of prior knowledge of physics, which is the high level abstraction of natural phenomenons and human behaviours in the long history, with data-driven machine learning models, has emerged as an effective way to mitigate the shortage of training data, ...
2208.03374
Aleksandar Stanic
Aleksandar Stani\'c, Yujin Tang, David Ha, J\"urgen Schmidhuber
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Reinforcement learning agents must generalize beyond their training experience. Prior work has focused mostly on identical training and evaluation environments. Starting from the recently introduced Crafter benchmark, a 2D open world survival game, we introduce a new set of environments suitable for evaluating some a...
[ { "created": "Fri, 5 Aug 2022 20:05:46 GMT", "version": "v1" } ]
2022-08-09
[ [ "Stanić", "Aleksandar", "" ], [ "Tang", "Yujin", "" ], [ "Ha", "David", "" ], [ "Schmidhuber", "Jürgen", "" ] ]
Reinforcement learning agents must generalize beyond their training experience. Prior work has focused mostly on identical training and evaluation environments. Starting from the recently introduced Crafter benchmark, a 2D open world survival game, we introduce a new set of environments suitable for evaluating some age...
2207.14745
Maria Vittoria Minniti
Jessie van Dam, Andreea Tulbure, Maria Vittoria Minniti, Firas Abi-Farraj, Marco Hutter
Collision detection and identification for a legged manipulator
International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, Oct 23 - Oct. 27, 2022
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To safely deploy legged robots in the real world it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force. In this paper, we propose a collision detection and identification pipeline for a quadrupedal manipulator. We first introduc...
[ { "created": "Fri, 29 Jul 2022 15:37:23 GMT", "version": "v1" } ]
2022-08-01
[ [ "van Dam", "Jessie", "" ], [ "Tulbure", "Andreea", "" ], [ "Minniti", "Maria Vittoria", "" ], [ "Abi-Farraj", "Firas", "" ], [ "Hutter", "Marco", "" ] ]
To safely deploy legged robots in the real world it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force. In this paper, we propose a collision detection and identification pipeline for a quadrupedal manipulator. We first introduce ...
2001.09747
Dirk Hartmann
Dirk Hartmann, Herman van der Auweraer
Digital Twins
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital Twins are one of the hottest digital trends. In this contribution we will shortly review the concept of Digital Twins and the chances for novel industrial applications. Mathematics are a key enabler and the impact will be highlighted along four specific examples addressing Digital Product Twins democratizing ...
[ { "created": "Fri, 3 Jan 2020 19:20:47 GMT", "version": "v1" } ]
2020-01-28
[ [ "Hartmann", "Dirk", "" ], [ "van der Auweraer", "Herman", "" ] ]
Digital Twins are one of the hottest digital trends. In this contribution we will shortly review the concept of Digital Twins and the chances for novel industrial applications. Mathematics are a key enabler and the impact will be highlighted along four specific examples addressing Digital Product Twins democratizing De...
2001.01000
Thomas Drugman
Thomas Drugman, Thierry Dutoit
The Deterministic plus Stochastic Model of the Residual Signal and its Applications
null
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The modeling of speech production often relies on a source-filter approach. Although methods parameterizing the filter have nowadays reached a certain maturity, there is still a lot to be gained for several speech processing applications in finding an appropriate excitation model. This manuscript presents a Determini...
[ { "created": "Sun, 29 Dec 2019 07:52:37 GMT", "version": "v1" } ]
2020-01-07
[ [ "Drugman", "Thomas", "" ], [ "Dutoit", "Thierry", "" ] ]
The modeling of speech production often relies on a source-filter approach. Although methods parameterizing the filter have nowadays reached a certain maturity, there is still a lot to be gained for several speech processing applications in finding an appropriate excitation model. This manuscript presents a Determinist...
1907.12998
Tomasz Arodz
Han Zhang, Xi Gao, Jacob Unterman, Tom Arodz
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural ODEs and i-ResNet are recently proposed methods for enforcing invertibility of residual neural models. Having a generic technique for constructing invertible models can open new avenues for advances in learning systems, but so far the question of whether Neural ODEs and i-ResNets can model any continuous inver...
[ { "created": "Tue, 30 Jul 2019 15:04:01 GMT", "version": "v1" }, { "created": "Sun, 1 Mar 2020 03:28:45 GMT", "version": "v2" } ]
2020-03-03
[ [ "Zhang", "Han", "" ], [ "Gao", "Xi", "" ], [ "Unterman", "Jacob", "" ], [ "Arodz", "Tom", "" ] ]
Neural ODEs and i-ResNet are recently proposed methods for enforcing invertibility of residual neural models. Having a generic technique for constructing invertible models can open new avenues for advances in learning systems, but so far the question of whether Neural ODEs and i-ResNets can model any continuous inverti...
2306.11104
Lucia Cipolina-Kun
Lucia Cipolina-Kun
Markovian Embeddings for Coalitional Bargaining Games
null
null
null
null
cs.MA cs.GT cs.LG
http://creativecommons.org/licenses/by/4.0/
We examine the Markovian properties of coalition bargaining games, in particular, the case where past rejected proposals cannot be repeated. We propose a Markovian embedding with filtrations to render the sates Markovian and thus, fit into the framework of stochastic games.
[ { "created": "Mon, 19 Jun 2023 18:13:16 GMT", "version": "v1" } ]
2023-06-21
[ [ "Cipolina-Kun", "Lucia", "" ] ]
We examine the Markovian properties of coalition bargaining games, in particular, the case where past rejected proposals cannot be repeated. We propose a Markovian embedding with filtrations to render the sates Markovian and thus, fit into the framework of stochastic games.
2404.15475
Robert Grossman
Robert L. Grossman
An Annotated Glossary for Data Commons, Data Meshes, and Other Data Platforms
6 pages
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Cloud-based data commons, data meshes, data hubs, and other data platforms are important ways to manage, analyze and share data to accelerate research and to support reproducible research. This is an annotated glossary of some of the more common terms used in articles and discussions about these platforms.
[ { "created": "Tue, 23 Apr 2024 19:26:28 GMT", "version": "v1" } ]
2024-04-25
[ [ "Grossman", "Robert L.", "" ] ]
Cloud-based data commons, data meshes, data hubs, and other data platforms are important ways to manage, analyze and share data to accelerate research and to support reproducible research. This is an annotated glossary of some of the more common terms used in articles and discussions about these platforms.
1507.05224
Kiran Garimella
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis
Quantifying Controversy in Social Media
Accepted in the journal Transactions on Social Computing (TSC). Extended version of the WSDM 2016 and CSCW 2016 demo paper. Please cite the TSC/WSDM version and not the arxiv version
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Which topics spark the most heated debates on social media? Identifying those topics is not only interesting from a societal point of view, but also allows the filtering and aggregation of social media content for disseminating news stories. In this paper, we perform a systematic methodological study of controversy d...
[ { "created": "Sat, 18 Jul 2015 20:50:42 GMT", "version": "v1" }, { "created": "Mon, 17 Aug 2015 04:12:06 GMT", "version": "v2" }, { "created": "Mon, 14 Dec 2015 18:48:53 GMT", "version": "v3" }, { "created": "Tue, 7 Jun 2016 15:28:51 GMT", "version": "v4" }, { "cr...
2017-09-21
[ [ "Garimella", "Kiran", "" ], [ "Morales", "Gianmarco De Francisci", "" ], [ "Gionis", "Aristides", "" ], [ "Mathioudakis", "Michael", "" ] ]
Which topics spark the most heated debates on social media? Identifying those topics is not only interesting from a societal point of view, but also allows the filtering and aggregation of social media content for disseminating news stories. In this paper, we perform a systematic methodological study of controversy det...
2111.13839
Hanlin Zhang
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Sch\"olkopf, Eric P. Xing
Towards Principled Disentanglement for Domain Generalization
CVPR 2022 Oral
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental challenge for machine learning models is generalizing to out-of-distribution (OOD) data, in part due to spurious correlations. To tackle this challenge, we first formalize the OOD generalization problem as constrained optimization, called Disentanglement-constrained Domain Generalization (DDG). We relax...
[ { "created": "Sat, 27 Nov 2021 07:36:32 GMT", "version": "v1" }, { "created": "Thu, 13 Jan 2022 21:23:57 GMT", "version": "v2" }, { "created": "Tue, 29 Mar 2022 05:34:27 GMT", "version": "v3" }, { "created": "Wed, 19 Oct 2022 04:26:12 GMT", "version": "v4" } ]
2022-10-20
[ [ "Zhang", "Hanlin", "" ], [ "Zhang", "Yi-Fan", "" ], [ "Liu", "Weiyang", "" ], [ "Weller", "Adrian", "" ], [ "Schölkopf", "Bernhard", "" ], [ "Xing", "Eric P.", "" ] ]
A fundamental challenge for machine learning models is generalizing to out-of-distribution (OOD) data, in part due to spurious correlations. To tackle this challenge, we first formalize the OOD generalization problem as constrained optimization, called Disentanglement-constrained Domain Generalization (DDG). We relax t...
2310.05882
Erica Weng
Erica Weng, Kenta Mukoya, Deva Ramanan, Kris Kitani
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions
Spotlight paper in the Data Generation for Robotics Workshop at RSS 2024
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywalking and near-collisions, or uncommon agents such as children, disabled pedestrians, and vulnerable road users poses logistical and ethic...
[ { "created": "Mon, 9 Oct 2023 17:23:20 GMT", "version": "v1" }, { "created": "Fri, 5 Jul 2024 20:08:00 GMT", "version": "v2" }, { "created": "Tue, 9 Jul 2024 18:42:09 GMT", "version": "v3" } ]
2024-07-11
[ [ "Weng", "Erica", "" ], [ "Mukoya", "Kenta", "" ], [ "Ramanan", "Deva", "" ], [ "Kitani", "Kris", "" ] ]
Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywalking and near-collisions, or uncommon agents such as children, disabled pedestrians, and vulnerable road users poses logistical and ethical...
1812.01156
Anik Islam
Anik Islam, Mohammed Belal Uddin, Md. Fazlul Kader, Soo Young Shin
Blockchain based secure data handover scheme in non-orthogonal multiple access
Published in 2018 4th International Conference on Wireless and Telematics (ICWT)
2018 4th International Conference on Wireless and Telematics (ICWT), Nusa Dua, 2018, pp. 1-5
10.1109/ICWT.2018.8527732
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-orthogonal multiple access (NOMA) with successive interference cancellation receiver is considered as one of the most potent multiple access techniques to be adopted in future wireless communication networks. Data security in the NOMA transmission scheme is on much attention drawing issue. Blockchain is a distrib...
[ { "created": "Tue, 4 Dec 2018 01:15:27 GMT", "version": "v1" } ]
2018-12-05
[ [ "Islam", "Anik", "" ], [ "Uddin", "Mohammed Belal", "" ], [ "Kader", "Md. Fazlul", "" ], [ "Shin", "Soo Young", "" ] ]
Non-orthogonal multiple access (NOMA) with successive interference cancellation receiver is considered as one of the most potent multiple access techniques to be adopted in future wireless communication networks. Data security in the NOMA transmission scheme is on much attention drawing issue. Blockchain is a distribut...
0902.2969
Giorgi Japaridze
Giorgi Japaridze
Ptarithmetic
Substantially better versions are on their way. Hence the present article probably will not be published
The Baltic International Yearbook on Cognition, Logic and Communication 8 (2013), Article 5, pp. 1-186
10.4148/1944-3676.1074
null
cs.LO cs.AI cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The present article introduces ptarithmetic (short for "polynomial time arithmetic") -- a formal number theory similar to the well known Peano arithmetic, but based on the recently born computability logic (see http://www.cis.upenn.edu/~giorgi/cl.html) instead of classical logic. The formulas of ptarithmetic represen...
[ { "created": "Tue, 17 Feb 2009 19:14:09 GMT", "version": "v1" }, { "created": "Wed, 18 Feb 2009 12:48:43 GMT", "version": "v2" }, { "created": "Fri, 26 Feb 2010 10:17:31 GMT", "version": "v3" } ]
2013-12-16
[ [ "Japaridze", "Giorgi", "" ] ]
The present article introduces ptarithmetic (short for "polynomial time arithmetic") -- a formal number theory similar to the well known Peano arithmetic, but based on the recently born computability logic (see http://www.cis.upenn.edu/~giorgi/cl.html) instead of classical logic. The formulas of ptarithmetic represent ...
2004.13629
Masahiro Oda Dr.
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks
Accepted paper as a poster presentation at MICCAI 2018 (International Conference on Medical Image Computing and Computer-Assisted Intervention), Granada, Spain
Published in Proceedings of MICCAI 2018, LNCS 11073, pp 176-184
10.1007/978-3-030-00937-3_21
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an estimation method using a recurrent neural network (RNN) of the colon's shape where deformation was occurred by a colonoscope insertion. Colonoscope tracking or a navigation system that navigates physician to polyp positions is needed to reduce such complications as colon perforation. Previous tracking ...
[ { "created": "Mon, 20 Apr 2020 04:43:58 GMT", "version": "v1" } ]
2020-04-29
[ [ "Oda", "Masahiro", "" ], [ "Roth", "Holger R.", "" ], [ "Kitasaka", "Takayuki", "" ], [ "Furukawa", "Kazuhiro", "" ], [ "Miyahara", "Ryoji", "" ], [ "Hirooka", "Yoshiki", "" ], [ "Goto", "Hidemi", "" ], ...
We propose an estimation method using a recurrent neural network (RNN) of the colon's shape where deformation was occurred by a colonoscope insertion. Colonoscope tracking or a navigation system that navigates physician to polyp positions is needed to reduce such complications as colon perforation. Previous tracking me...
2205.06802
Danial Toufani Movaghar
Danial Toufani-Movaghar, Mohammad-Reza Feizi-Derakhshi
Word Embeddings and Validity Indexes in Fuzzy Clustering
10 Pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:1907.07672 by other authors
null
null
null
cs.CL cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
In the new era of internet systems and applications, a concept of detecting distinguished topics from huge amounts of text has gained a lot of attention. These methods use representation of text in a numerical format -- called embeddings -- to imitate human-based semantic similarity between words. In this study, we p...
[ { "created": "Tue, 26 Apr 2022 18:08:19 GMT", "version": "v1" } ]
2022-05-16
[ [ "Toufani-Movaghar", "Danial", "" ], [ "Feizi-Derakhshi", "Mohammad-Reza", "" ] ]
In the new era of internet systems and applications, a concept of detecting distinguished topics from huge amounts of text has gained a lot of attention. These methods use representation of text in a numerical format -- called embeddings -- to imitate human-based semantic similarity between words. In this study, we per...
1410.6513
Yunan Gu
Yunan Gu and Walid Saad and Mehdi Bennis and Merouane Debbah and Zhu Han
Matching Theory for Future Wireless Networks: Fundamentals and Applications
null
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of novel wireless networking paradigms such as small cell and cognitive radio networks has forever transformed the way in which wireless systems are operated. In particular, the need for self-organizing solutions to manage the scarce spectral resources has become a prevalent theme in many emerging wirel...
[ { "created": "Thu, 23 Oct 2014 21:43:31 GMT", "version": "v1" }, { "created": "Thu, 12 Mar 2015 22:22:27 GMT", "version": "v2" } ]
2015-03-16
[ [ "Gu", "Yunan", "" ], [ "Saad", "Walid", "" ], [ "Bennis", "Mehdi", "" ], [ "Debbah", "Merouane", "" ], [ "Han", "Zhu", "" ] ]
The emergence of novel wireless networking paradigms such as small cell and cognitive radio networks has forever transformed the way in which wireless systems are operated. In particular, the need for self-organizing solutions to manage the scarce spectral resources has become a prevalent theme in many emerging wireles...
2405.20446
Maya Anderson
Maya Anderson, Guy Amit, Abigail Goldsteen
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
16 pages, 3 figures
null
null
null
cs.CR cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Retrieval Augmented Generation (RAG) systems have shown great promise in natural language processing. However, their reliance on data stored in a retrieval database, which may contain proprietary or sensitive information, introduces new privacy concerns. Specifically, an attacker may be able to infer whether a certai...
[ { "created": "Thu, 30 May 2024 19:46:36 GMT", "version": "v1" }, { "created": "Fri, 7 Jun 2024 09:39:39 GMT", "version": "v2" } ]
2024-06-10
[ [ "Anderson", "Maya", "" ], [ "Amit", "Guy", "" ], [ "Goldsteen", "Abigail", "" ] ]
Retrieval Augmented Generation (RAG) systems have shown great promise in natural language processing. However, their reliance on data stored in a retrieval database, which may contain proprietary or sensitive information, introduces new privacy concerns. Specifically, an attacker may be able to infer whether a certain ...
2406.06258
Xiaojie Li
Xiaojie Li, Chenghao Gu, Shuzhao Xie, Yunpeng Bai, Weixiang Zhang, Zhi Wang
Tuning-Free Visual Customization via View Iterative Self-Attention Control
Under review
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Fine-Tuning Diffusion Models enable a wide range of personalized generation and editing applications on diverse visual modalities. While Low-Rank Adaptation (LoRA) accelerates the fine-tuning process, it still requires multiple reference images and time-consuming training, which constrains its scalability for large-s...
[ { "created": "Mon, 10 Jun 2024 13:41:10 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 03:06:14 GMT", "version": "v2" } ]
2024-06-12
[ [ "Li", "Xiaojie", "" ], [ "Gu", "Chenghao", "" ], [ "Xie", "Shuzhao", "" ], [ "Bai", "Yunpeng", "" ], [ "Zhang", "Weixiang", "" ], [ "Wang", "Zhi", "" ] ]
Fine-Tuning Diffusion Models enable a wide range of personalized generation and editing applications on diverse visual modalities. While Low-Rank Adaptation (LoRA) accelerates the fine-tuning process, it still requires multiple reference images and time-consuming training, which constrains its scalability for large-sca...
2307.09408
Anne Cathrine Linder
Anne Cathrine Linder and David Lusseau
Resilience of the reported global human-nature interaction network to pandemic conditions
null
null
null
null
cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Understanding human-nature interactions and the architecture of coupled human-nature systems is crucial for sustainable development. Cultural ecosystem services (CES), defined as intangible benefits derived from nature exposure, contribute to maintaining and improving human well-being. However, we have limited unders...
[ { "created": "Tue, 18 Jul 2023 16:27:39 GMT", "version": "v1" } ]
2023-07-19
[ [ "Linder", "Anne Cathrine", "" ], [ "Lusseau", "David", "" ] ]
Understanding human-nature interactions and the architecture of coupled human-nature systems is crucial for sustainable development. Cultural ecosystem services (CES), defined as intangible benefits derived from nature exposure, contribute to maintaining and improving human well-being. However, we have limited understa...
2404.01543
Ziqian Bai
Ziqian Bai, Feitong Tan, Sean Fanello, Rohit Pandey, Mingsong Dou, Shichen Liu, Ping Tan, Yinda Zhang
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
In CVPR2024. Project page: https://augmentedperception.github.io/monoavatar-plus
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D head avatars built with neural implicit volumetric representations have achieved unprecedented levels of photorealism. However, the computational cost of these methods remains a significant barrier to their widespread adoption, particularly in real-time applications such as virtual reality and teleconferencing. Wh...
[ { "created": "Tue, 2 Apr 2024 00:55:50 GMT", "version": "v1" } ]
2024-04-03
[ [ "Bai", "Ziqian", "" ], [ "Tan", "Feitong", "" ], [ "Fanello", "Sean", "" ], [ "Pandey", "Rohit", "" ], [ "Dou", "Mingsong", "" ], [ "Liu", "Shichen", "" ], [ "Tan", "Ping", "" ], [ "Zhang", "Yin...
3D head avatars built with neural implicit volumetric representations have achieved unprecedented levels of photorealism. However, the computational cost of these methods remains a significant barrier to their widespread adoption, particularly in real-time applications such as virtual reality and teleconferencing. Whil...
1307.1718
Kyle Williams
Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles
Graph-based Approach to Automatic Taxonomy Generation (GraBTax)
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel graph-based approach for constructing concept hierarchy from a large text corpus. Our algorithm, GraBTax, incorporates both statistical co-occurrences and lexical similarity in optimizing the structure of the taxonomy. To automatically generate topic-dependent taxonomies from a large text corpus, G...
[ { "created": "Fri, 5 Jul 2013 21:05:20 GMT", "version": "v1" }, { "created": "Mon, 28 Apr 2014 20:50:22 GMT", "version": "v2" } ]
2014-04-30
[ [ "Treeratpituk", "Pucktada", "" ], [ "Khabsa", "Madian", "" ], [ "Giles", "C. Lee", "" ] ]
We propose a novel graph-based approach for constructing concept hierarchy from a large text corpus. Our algorithm, GraBTax, incorporates both statistical co-occurrences and lexical similarity in optimizing the structure of the taxonomy. To automatically generate topic-dependent taxonomies from a large text corpus, Gra...
1204.6304
Srijith Ravikumar
Sathya Narayanan Nagarajan, Srijith Ravikumar
Model for Predicting End User Web Page Response Time
null
null
null
null
cs.PF
http://creativecommons.org/licenses/by-nc-sa/3.0/
Perceived responsiveness of a web page is one of the most important and least understood metrics of web page design, and is critical for attracting and maintaining a large audience. Web pages can be designed to meet performance SLAs early in the product lifecycle if there is a way to predict the apparent responsivene...
[ { "created": "Fri, 27 Apr 2012 19:21:30 GMT", "version": "v1" } ]
2012-04-30
[ [ "Nagarajan", "Sathya Narayanan", "" ], [ "Ravikumar", "Srijith", "" ] ]
Perceived responsiveness of a web page is one of the most important and least understood metrics of web page design, and is critical for attracting and maintaining a large audience. Web pages can be designed to meet performance SLAs early in the product lifecycle if there is a way to predict the apparent responsiveness...
1407.0791
Kiran Garimella
Venkata Rama Kiran Garimella, Ingmar Weber
Co-Following on Twitter
full version of a short paper at Hypertext 2014
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an in-depth study of co-following on Twitter based on the observation that two Twitter users whose followers have similar friends are also similar, even though they might not share any direct links or a single mutual follower. We show how this observation contributes to (i) a better understanding of langua...
[ { "created": "Thu, 3 Jul 2014 06:07:59 GMT", "version": "v1" } ]
2014-07-04
[ [ "Garimella", "Venkata Rama Kiran", "" ], [ "Weber", "Ingmar", "" ] ]
We present an in-depth study of co-following on Twitter based on the observation that two Twitter users whose followers have similar friends are also similar, even though they might not share any direct links or a single mutual follower. We show how this observation contributes to (i) a better understanding of language...
2107.10249
Feng Zhou
Sue Bai, Dakota Drake Legge, Ashley Young, Shan Bao, Feng Zhou
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
In this study, we investigated the effectiveness and user acceptance of three external interaction modalities (i.e., visual, auditory, and visual+auditory) in promoting communications between automated vehicle systems (AVS) and pedestrians at a crosswalk through a large number of combined designs. For this purpose, a...
[ { "created": "Wed, 21 Jul 2021 17:53:47 GMT", "version": "v1" } ]
2021-07-22
[ [ "Bai", "Sue", "" ], [ "Legge", "Dakota Drake", "" ], [ "Young", "Ashley", "" ], [ "Bao", "Shan", "" ], [ "Zhou", "Feng", "" ] ]
In this study, we investigated the effectiveness and user acceptance of three external interaction modalities (i.e., visual, auditory, and visual+auditory) in promoting communications between automated vehicle systems (AVS) and pedestrians at a crosswalk through a large number of combined designs. For this purpose, an ...
2106.02289
Tiago Pimentel
Irene Nikkarinen, Tiago Pimentel, Dami\'an E. Blasi, Ryan Cotterell
Modeling the Unigram Distribution
Irene Nikkarinen and Tiago Pimentel contributed equally to this work. Accepted to the findings of ACL 2021. Code available in https://github.com/irenenikk/modelling-unigram
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The unigram distribution is the non-contextual probability of finding a specific word form in a corpus. While of central importance to the study of language, it is commonly approximated by each word's sample frequency in the corpus. This approach, being highly dependent on sample size, assigns zero probability to any...
[ { "created": "Fri, 4 Jun 2021 07:02:49 GMT", "version": "v1" } ]
2021-06-07
[ [ "Nikkarinen", "Irene", "" ], [ "Pimentel", "Tiago", "" ], [ "Blasi", "Damián E.", "" ], [ "Cotterell", "Ryan", "" ] ]
The unigram distribution is the non-contextual probability of finding a specific word form in a corpus. While of central importance to the study of language, it is commonly approximated by each word's sample frequency in the corpus. This approach, being highly dependent on sample size, assigns zero probability to any o...
2311.09994
Kathrin Grosse
Kathrin Grosse, Lukas Bieringer, Tarek Richard Besold, Alexandre Alahi
Towards more Practical Threat Models in Artificial Intelligence Security
18 pages, 4 figures, 8 tables, accepted to Usenix Security, incorporated external feedback
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI. For example, while models are often studied in isolation, they form part of larger ML pipelines in practice. Recent works ...
[ { "created": "Thu, 16 Nov 2023 16:09:44 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2024 13:06:28 GMT", "version": "v2" } ]
2024-03-27
[ [ "Grosse", "Kathrin", "" ], [ "Bieringer", "Lukas", "" ], [ "Besold", "Tarek Richard", "" ], [ "Alahi", "Alexandre", "" ] ]
Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI. For example, while models are often studied in isolation, they form part of larger ML pipelines in practice. Recent works al...
2011.03114
Henggang Cui
Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object detection is a critical component of a self-driving system, tasked with inferring the current states of the surrounding traffic actors. While there exist a number of studies on the problem of inferring the position and shape of vehicle actors, understanding actors' orientation remains a challenge for existing ...
[ { "created": "Thu, 5 Nov 2020 21:59:44 GMT", "version": "v1" } ]
2020-11-09
[ [ "Cui", "Henggang", "" ], [ "Chou", "Fang-Chieh", "" ], [ "Charland", "Jake", "" ], [ "Vallespi-Gonzalez", "Carlos", "" ], [ "Djuric", "Nemanja", "" ] ]
Object detection is a critical component of a self-driving system, tasked with inferring the current states of the surrounding traffic actors. While there exist a number of studies on the problem of inferring the position and shape of vehicle actors, understanding actors' orientation remains a challenge for existing st...
2306.02659
Zhengzhe Xu
Zhengzhe Xu, Yanbo Chen, Zhuozhu Jian, Junbo Tan, Xueqian Wang, Bin Liang
Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots
IEEE Robotics and Automation Letters (RA-L)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous terrain traversal of articulated tracked robots can reduce operator cognitive load to enhance task efficiency and facilitate extensive deployment. We present a novel hybrid trajectory optimization method aimed at generating efficient, stable, and smooth traversal motions. To achieve this, we develop a plan...
[ { "created": "Mon, 5 Jun 2023 07:48:28 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2023 15:56:04 GMT", "version": "v2" }, { "created": "Thu, 23 Nov 2023 05:22:42 GMT", "version": "v3" } ]
2023-11-27
[ [ "Xu", "Zhengzhe", "" ], [ "Chen", "Yanbo", "" ], [ "Jian", "Zhuozhu", "" ], [ "Tan", "Junbo", "" ], [ "Wang", "Xueqian", "" ], [ "Liang", "Bin", "" ] ]
Autonomous terrain traversal of articulated tracked robots can reduce operator cognitive load to enhance task efficiency and facilitate extensive deployment. We present a novel hybrid trajectory optimization method aimed at generating efficient, stable, and smooth traversal motions. To achieve this, we develop a planar...
2407.08787
Wenshuo Peng
Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
9 pages,4 figures
null
10.1609/aaai.v38i5.28249
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-language foundation models have been incredibly successful in a wide range of downstream computer vision tasks using adaptation methods. However, due to the high cost of obtaining pre-training datasets, pairs with weak image-text correlation in the data exist in large numbers. We call them weak-paired samples....
[ { "created": "Thu, 11 Jul 2024 18:01:58 GMT", "version": "v1" } ]
2024-07-15
[ [ "Peng", "Wenshuo", "" ], [ "Zhang", "Kaipeng", "" ], [ "Yang", "Yue", "" ], [ "Zhang", "Hao", "" ], [ "Qiao", "Yu", "" ] ]
Vision-language foundation models have been incredibly successful in a wide range of downstream computer vision tasks using adaptation methods. However, due to the high cost of obtaining pre-training datasets, pairs with weak image-text correlation in the data exist in large numbers. We call them weak-paired samples. D...
2112.03376
Michael Rawson
Michael Rawson, Radu Balan
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
null
null
null
null
cs.LG cs.IT math.IT math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Policy learning is a quickly growing area. As robotics and computers control day-to-day life, their error rate needs to be minimized and controlled. There are many policy learning methods and bandit methods with provable error rates that accompany them. We show an error or regret bound and convergence of the Deep Eps...
[ { "created": "Thu, 2 Dec 2021 04:05:54 GMT", "version": "v1" }, { "created": "Thu, 27 Jan 2022 23:16:36 GMT", "version": "v2" } ]
2022-01-31
[ [ "Rawson", "Michael", "" ], [ "Balan", "Radu", "" ] ]
Policy learning is a quickly growing area. As robotics and computers control day-to-day life, their error rate needs to be minimized and controlled. There are many policy learning methods and bandit methods with provable error rates that accompany them. We show an error or regret bound and convergence of the Deep Epsil...
1407.3487
Grigori Fursin
Grigori Fursin
Collective Tuning Initiative
GCC Developers' Summit'09, 14 June 2009, Montreal, Canada
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing systems rarely deliver best possible performance due to ever increasing hardware and software complexity and limitations of the current optimization technology. Additional code and architecture optimizations are often required to improve execution time, size, power consumption, reliability and other importa...
[ { "created": "Sun, 13 Jul 2014 17:13:17 GMT", "version": "v1" } ]
2014-07-15
[ [ "Fursin", "Grigori", "" ] ]
Computing systems rarely deliver best possible performance due to ever increasing hardware and software complexity and limitations of the current optimization technology. Additional code and architecture optimizations are often required to improve execution time, size, power consumption, reliability and other important...
2205.10034
Liang Shen
Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, Huachao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services
null
null
null
null
cs.DC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While modern internet services, such as chatbots, search engines, and online advertising, demand the use of large-scale deep neural networks (DNNs), distributed training and inference over heterogeneous computing systems are desired to facilitate these DNN models. Mixture-of-Experts (MoE) is one the most common strat...
[ { "created": "Fri, 20 May 2022 09:09:27 GMT", "version": "v1" }, { "created": "Mon, 12 Jun 2023 12:07:22 GMT", "version": "v2" }, { "created": "Mon, 12 Aug 2024 09:23:13 GMT", "version": "v3" } ]
2024-08-13
[ [ "Yu", "Dianhai", "" ], [ "Shen", "Liang", "" ], [ "Hao", "Hongxiang", "" ], [ "Gong", "Weibao", "" ], [ "Wu", "Huachao", "" ], [ "Bian", "Jiang", "" ], [ "Dai", "Lirong", "" ], [ "Xiong", "Haoyi...
While modern internet services, such as chatbots, search engines, and online advertising, demand the use of large-scale deep neural networks (DNNs), distributed training and inference over heterogeneous computing systems are desired to facilitate these DNN models. Mixture-of-Experts (MoE) is one the most common strateg...
2002.01886
Jeremy Castagno
Jeremy Castagno, Ella Atkins
Polylidar -- Polygons from Triangular Meshes
8 pages, 9 Figures
null
10.1109/LRA.2020.3002212
null
cs.CG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D point sets, including interior holes. Plane segmented point clouds can be input into Polylidar to extract their polygonal counterpart, thereby reducing map size and improving visualization. The algorithm begins by triangulati...
[ { "created": "Wed, 5 Feb 2020 17:50:57 GMT", "version": "v1" }, { "created": "Sat, 6 Jun 2020 12:31:52 GMT", "version": "v2" } ]
2020-07-24
[ [ "Castagno", "Jeremy", "" ], [ "Atkins", "Ella", "" ] ]
This paper presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D point sets, including interior holes. Plane segmented point clouds can be input into Polylidar to extract their polygonal counterpart, thereby reducing map size and improving visualization. The algorithm begins by triangulating...
2011.14214
Anadi Chaman
Anadi Chaman (1), Ivan Dokmani\'c (2) ((1) University of Illinois at Urbana-Champaign, (2) University of Basel)
Truly shift-invariant convolutional neural networks
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Thanks to the use of convolution and pooling layers, convolutional neural networks were for a long time thought to be shift-invariant. However, recent works have shown that the output of a CNN can change significantly with small shifts in input: a problem caused by the presence of downsampling (stride) layers. The ex...
[ { "created": "Sat, 28 Nov 2020 20:57:35 GMT", "version": "v1" }, { "created": "Tue, 1 Dec 2020 12:46:12 GMT", "version": "v2" }, { "created": "Fri, 4 Dec 2020 12:18:15 GMT", "version": "v3" }, { "created": "Tue, 30 Mar 2021 19:47:57 GMT", "version": "v4" } ]
2021-04-01
[ [ "Chaman", "Anadi", "" ], [ "Dokmanić", "Ivan", "" ] ]
Thanks to the use of convolution and pooling layers, convolutional neural networks were for a long time thought to be shift-invariant. However, recent works have shown that the output of a CNN can change significantly with small shifts in input: a problem caused by the presence of downsampling (stride) layers. The exis...
1501.02035
EPTCS
Adri\'an Riesco (Universidad Complutense de Madrid), Juan Rodr\'iguez-Hortal\'a (Lambdoop Solutions)
Lifting Term Rewriting Derivations in Constructor Systems by Using Generators
In Proceedings PROLE 2014, arXiv:1501.01693
EPTCS 173, 2015, pp. 87-99
10.4204/EPTCS.173.7
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Narrowing is a procedure that was first studied in the context of equational E-unification and that has been used in a wide range of applications. The classic completeness result due to Hullot states that any term rewriting derivation starting from an instance of an expression can be "lifted" to a narrowing derivatio...
[ { "created": "Fri, 9 Jan 2015 04:00:31 GMT", "version": "v1" } ]
2019-08-15
[ [ "Riesco", "Adrián", "", "Universidad Complutense de Madrid" ], [ "Rodríguez-Hortalá", "Juan", "", "Lambdoop Solutions" ] ]
Narrowing is a procedure that was first studied in the context of equational E-unification and that has been used in a wide range of applications. The classic completeness result due to Hullot states that any term rewriting derivation starting from an instance of an expression can be "lifted" to a narrowing derivation,...
2203.15507
Bhagyashri Telsang
Bhagyashri Telsang and Seddik Djouadi
Computation of Centroidal Voronoi Tessellations in High Dimensional spaces
null
null
null
null
cs.CG
http://creativecommons.org/licenses/by/4.0/
Owing to the natural interpretation and various desirable mathematical properties, centroidal Voronoi tessellations (CVT) have found a wide range of applications and correspondingly a vast development in their literature. However the computation of CVT in higher dimensional spaces still remains difficult. In this pap...
[ { "created": "Thu, 24 Mar 2022 20:31:27 GMT", "version": "v1" } ]
2022-03-30
[ [ "Telsang", "Bhagyashri", "" ], [ "Djouadi", "Seddik", "" ] ]
Owing to the natural interpretation and various desirable mathematical properties, centroidal Voronoi tessellations (CVT) have found a wide range of applications and correspondingly a vast development in their literature. However the computation of CVT in higher dimensional spaces still remains difficult. In this paper...
1803.00259
Jun Zhao
Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast, the display advertising (DA), as a relatively simpler scenario for auction, ha...
[ { "created": "Thu, 1 Mar 2018 09:04:37 GMT", "version": "v1" } ]
2018-03-02
[ [ "Zhao", "Jun", "" ], [ "Qiu", "Guang", "" ], [ "Guan", "Ziyu", "" ], [ "Zhao", "Wei", "" ], [ "He", "Xiaofei", "" ] ]
Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast, the display advertising (DA), as a relatively simpler scenario for auction, has ...
2011.12599
Valentina Anita Carriero
Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Francesca Tomasi
The Landscape of Ontology Reuse Approaches
null
null
10.3233/SSW200033
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. However, current practices are often motivated by subjective, case-by-case decisions, which hamper the definition of a recommended behaviour...
[ { "created": "Wed, 25 Nov 2020 09:21:07 GMT", "version": "v1" } ]
2021-01-01
[ [ "Carriero", "Valentina Anita", "" ], [ "Daquino", "Marilena", "" ], [ "Gangemi", "Aldo", "" ], [ "Nuzzolese", "Andrea Giovanni", "" ], [ "Peroni", "Silvio", "" ], [ "Presutti", "Valentina", "" ], [ "Tomasi", "F...
Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. However, current practices are often motivated by subjective, case-by-case decisions, which hamper the definition of a recommended behaviour. ...
1709.09662
Jeffrey Johnson
Jeffrey Kane Johnson
Image Space Potential Fields: Constant Size Environment Representation for Vision-based Subsumption Control Architectures
Maeve Automation Technical Report. arXiv admin note: text overlap with arXiv:1709.03947
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical report presents an environment representation for use in vision-based navigation. The representation has two useful properties: 1) it has constant size, which can enable strong run-time guarantees to be made for control algorithms using it, and 2) it is structurally similar to a camera image space, whi...
[ { "created": "Tue, 26 Sep 2017 22:02:53 GMT", "version": "v1" } ]
2017-09-29
[ [ "Johnson", "Jeffrey Kane", "" ] ]
This technical report presents an environment representation for use in vision-based navigation. The representation has two useful properties: 1) it has constant size, which can enable strong run-time guarantees to be made for control algorithms using it, and 2) it is structurally similar to a camera image space, which...
1511.04023
Qian Ma
Qian Ma, Ya-Feng Liu, and Jianwei Huang
Time and Location Aware Mobile Data Pricing
This manuscript serves as the online technical report of the article accepted by IEEE Transactions on Mobile Computing
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile users' correlated mobility and data consumption patterns often lead to severe cellular network congestion in peak hours and hot spots. This paper presents an optimal design of time and location aware mobile data pricing, which incentivizes users to smooth traffic and reduce network congestion. We derive the op...
[ { "created": "Thu, 12 Nov 2015 19:30:16 GMT", "version": "v1" } ]
2015-11-13
[ [ "Ma", "Qian", "" ], [ "Liu", "Ya-Feng", "" ], [ "Huang", "Jianwei", "" ] ]
Mobile users' correlated mobility and data consumption patterns often lead to severe cellular network congestion in peak hours and hot spots. This paper presents an optimal design of time and location aware mobile data pricing, which incentivizes users to smooth traffic and reduce network congestion. We derive the opti...
1608.07952
Alex Olieman
Alex Olieman, Jaap Kamps, Gleb Satyukov, Emil de Valk
Topical Generalization for Presentation of User Profiles
(to be) presented at DIR'16, November 25, 2016, Delft, The Netherlands
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fine-grained user profile generation approaches have made it increasingly feasible to display on a profile page in which topics a user has expertise or interest. Earlier work on topical user profiling has been directed at enhancing search and personalization functionality, but making such profiles useful for human co...
[ { "created": "Mon, 29 Aug 2016 08:47:12 GMT", "version": "v1" }, { "created": "Sat, 15 Oct 2016 05:24:51 GMT", "version": "v2" }, { "created": "Sun, 20 Nov 2016 01:52:00 GMT", "version": "v3" } ]
2016-11-22
[ [ "Olieman", "Alex", "" ], [ "Kamps", "Jaap", "" ], [ "Satyukov", "Gleb", "" ], [ "de Valk", "Emil", "" ] ]
Fine-grained user profile generation approaches have made it increasingly feasible to display on a profile page in which topics a user has expertise or interest. Earlier work on topical user profiling has been directed at enhancing search and personalization functionality, but making such profiles useful for human cons...
1904.01554
Ali Payani
Ali Payani and Faramarz Fekri
Learning Algorithms via Neural Logic Networks
Under Review in ICLM2019
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel learning paradigm for Deep Neural Networks (DNN) by using Boolean logic algebra. We first present the basic differentiable operators of a Boolean system such as conjunction, disjunction and exclusive-OR and show how these elementary operators can be combined in a simple and meaningful way to form N...
[ { "created": "Tue, 2 Apr 2019 17:17:02 GMT", "version": "v1" } ]
2019-04-10
[ [ "Payani", "Ali", "" ], [ "Fekri", "Faramarz", "" ] ]
We propose a novel learning paradigm for Deep Neural Networks (DNN) by using Boolean logic algebra. We first present the basic differentiable operators of a Boolean system such as conjunction, disjunction and exclusive-OR and show how these elementary operators can be combined in a simple and meaningful way to form Neu...
cs/0702099
Ruoheng Liu
Ruoheng Liu, Ivana Maric, Predrag Spasojevic, and Roy D. Yates
Discrete Memoryless Interference and Broadcast Channels with Confidential Messages: Secrecy Rate Regions
to appear Special Issue of IEEE Transactions on Information Theory on Information Theoretic Security
null
10.1109/TIT.2008.921879
null
cs.IT math.IT
null
We study information-theoretic security for discrete memoryless interference and broadcast channels with independent confidential messages sent to two receivers. Confidential messages are transmitted to their respective receivers with information-theoretic secrecy. That is, each receiver is kept in total ignorance wi...
[ { "created": "Sat, 17 Feb 2007 21:02:37 GMT", "version": "v1" }, { "created": "Tue, 11 Dec 2007 23:12:34 GMT", "version": "v2" } ]
2016-11-15
[ [ "Liu", "Ruoheng", "" ], [ "Maric", "Ivana", "" ], [ "Spasojevic", "Predrag", "" ], [ "Yates", "Roy D.", "" ] ]
We study information-theoretic security for discrete memoryless interference and broadcast channels with independent confidential messages sent to two receivers. Confidential messages are transmitted to their respective receivers with information-theoretic secrecy. That is, each receiver is kept in total ignorance with...
1211.6166
Tao Zhu
Tao Zhu, David Phipps, Adam Pridgen, Jedidiah R. Crandall, Dan S. Wallach
Tracking and Quantifying Censorship on a Chinese Microblogging Site
null
null
null
null
cs.IR cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present measurements and analysis of censorship on Weibo, a popular microblogging site in China. Since we were limited in the rate at which we could download posts, we identified users likely to participate in sensitive topics and recursively followed their social contacts. We also leveraged new natural language p...
[ { "created": "Mon, 26 Nov 2012 23:54:27 GMT", "version": "v1" } ]
2012-11-28
[ [ "Zhu", "Tao", "" ], [ "Phipps", "David", "" ], [ "Pridgen", "Adam", "" ], [ "Crandall", "Jedidiah R.", "" ], [ "Wallach", "Dan S.", "" ] ]
We present measurements and analysis of censorship on Weibo, a popular microblogging site in China. Since we were limited in the rate at which we could download posts, we identified users likely to participate in sensitive topics and recursively followed their social contacts. We also leveraged new natural language pro...
2202.00598
Sigrun May
Sigrun May, Sven Hartmann and Frank Klawonn
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Background: Embedded feature selection in high-dimensional data with very small sample sizes requires optimized hyperparameters for the model building process. For this hyperparameter optimization, nested cross-validation must be applied to avoid a biased performance estimation. The resulting repeated training with h...
[ { "created": "Tue, 1 Feb 2022 17:42:37 GMT", "version": "v1" }, { "created": "Mon, 12 Sep 2022 14:59:00 GMT", "version": "v2" } ]
2022-09-13
[ [ "May", "Sigrun", "" ], [ "Hartmann", "Sven", "" ], [ "Klawonn", "Frank", "" ] ]
Background: Embedded feature selection in high-dimensional data with very small sample sizes requires optimized hyperparameters for the model building process. For this hyperparameter optimization, nested cross-validation must be applied to avoid a biased performance estimation. The resulting repeated training with hig...
2308.06111
Lars Hillebrand
Lars Hillebrand, Armin Berger, Tobias Deu{\ss}er, Tim Dilmaghani, Mohamed Khaled, Bernd Kliem, R\"udiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Accepted at DocEng 2023, 4 pages, 1 figure, 2 tables
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Auditing financial documents is a very tedious and time-consuming process. As of today, it can already be simplified by employing AI-based solutions to recommend relevant text passages from a report for each legal requirement of rigorous accounting standards. However, these methods need to be fine-tuned regularly, an...
[ { "created": "Fri, 11 Aug 2023 12:55:09 GMT", "version": "v1" }, { "created": "Mon, 14 Aug 2023 07:45:17 GMT", "version": "v2" } ]
2023-08-15
[ [ "Hillebrand", "Lars", "" ], [ "Berger", "Armin", "" ], [ "Deußer", "Tobias", "" ], [ "Dilmaghani", "Tim", "" ], [ "Khaled", "Mohamed", "" ], [ "Kliem", "Bernd", "" ], [ "Loitz", "Rüdiger", "" ], [ "...
Auditing financial documents is a very tedious and time-consuming process. As of today, it can already be simplified by employing AI-based solutions to recommend relevant text passages from a report for each legal requirement of rigorous accounting standards. However, these methods need to be fine-tuned regularly, and ...
1110.3470
David Lievens
David Lievens and Bill Harrison
Symmetric Encapsulated Multi-Methods
This paper is a variant of David Lievens, William Harrison: Symmetric encapsulated multi-methods to abstract over application structure. SAC 2009: 1873-1880 that includes full details of the proof of the type soundness result stated in the original
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In object systems, classes take the role of modules, and interfaces consist of methods. Because methods are encapsulated in objects, interfaces in object systems do not allow abstracting over \emph{where} methods are implemented. This implies that any change to the implementation structure may cause a rippling effect...
[ { "created": "Sun, 16 Oct 2011 10:52:53 GMT", "version": "v1" } ]
2011-10-18
[ [ "Lievens", "David", "" ], [ "Harrison", "Bill", "" ] ]
In object systems, classes take the role of modules, and interfaces consist of methods. Because methods are encapsulated in objects, interfaces in object systems do not allow abstracting over \emph{where} methods are implemented. This implies that any change to the implementation structure may cause a rippling effect. ...
2103.11061
Abu Md Niamul Taufique
Abu Md Niamul Taufique, Navya Nagananda, Andreas Savakis
Visualization of Deep Transfer Learning In SAR Imagery
4 pages, 5 figures
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
10.1109/IGARSS39084.2020.9324490
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine surveillance. Unlike electro-optical (EO) systems, these systems are not affected by weather conditions and can be used in the day and night times. With the growing importance of SAR imagery, it would be desirable if models trained on ...
[ { "created": "Sat, 20 Mar 2021 00:16:15 GMT", "version": "v1" } ]
2021-03-23
[ [ "Taufique", "Abu Md Niamul", "" ], [ "Nagananda", "Navya", "" ], [ "Savakis", "Andreas", "" ] ]
Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine surveillance. Unlike electro-optical (EO) systems, these systems are not affected by weather conditions and can be used in the day and night times. With the growing importance of SAR imagery, it would be desirable if models trained on wi...
1911.13214
Lionel Eyraud-Dubois
Julien Herrmann (UB, LaBRI, TADAAM), Olivier Beaumont (HiePACS, UB, LaBRI), Lionel Eyraud-Dubois (HiePACS, UB, LaBRI), Julien Hermann, Alexis Joly (ZENITH, LIRMM, UM), Alena Shilova (HiePACS, UB, LaBRI)
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory
null
null
null
null
cs.LG cs.DC cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a new activation checkpointing method which allows to significantly decrease memory usage when training Deep Neural Networks with the back-propagation algorithm. Similarly to checkpoint-ing techniques coming from the literature on Automatic Differentiation, it consists in dynamically selecting t...
[ { "created": "Wed, 27 Nov 2019 13:05:11 GMT", "version": "v1" } ]
2019-12-02
[ [ "Herrmann", "Julien", "", "UB, LaBRI, TADAAM" ], [ "Beaumont", "Olivier", "", "HiePACS, UB,\n LaBRI" ], [ "Eyraud-Dubois", "Lionel", "", "HiePACS, UB, LaBRI" ], [ "Hermann", "Julien", "", "ZENITH, LIRMM, UM" ], [ "Joly", "Ale...
This paper introduces a new activation checkpointing method which allows to significantly decrease memory usage when training Deep Neural Networks with the back-propagation algorithm. Similarly to checkpoint-ing techniques coming from the literature on Automatic Differentiation, it consists in dynamically selecting the...
2111.03089
Rinat Aynulin
Rinat Aynulin, Pavel Chebotarev
Measuring Proximity in Attributed Networks for Community Detection
null
Studies in Computational Intelligence 943 (2021) 27-37
10.1007/978-3-030-65347-7_3
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proximity measures on graphs have a variety of applications in network analysis, including community detection. Previously they have been mainly studied in the context of networks without attributes. If node attributes are taken into account, however, this can provide more insight into the network structure. In this ...
[ { "created": "Thu, 4 Nov 2021 18:07:05 GMT", "version": "v1" } ]
2022-12-06
[ [ "Aynulin", "Rinat", "" ], [ "Chebotarev", "Pavel", "" ] ]
Proximity measures on graphs have a variety of applications in network analysis, including community detection. Previously they have been mainly studied in the context of networks without attributes. If node attributes are taken into account, however, this can provide more insight into the network structure. In this pa...
1805.04956
Moritz Lipp
Moritz Lipp and Misiker Tadesse Aga and Michael Schwarz and Daniel Gruss and Cl\'ementine Maurice and Lukas Raab and Lukas Lamster
Nethammer: Inducing Rowhammer Faults through Network Requests
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental assumption in software security is that memory contents do not change unless there is a legitimate deliberate modification. Classical fault attacks show that this assumption does not hold if the attacker has physical access. Rowhammer attacks showed that local code execution is already sufficient to bre...
[ { "created": "Sun, 13 May 2018 21:38:29 GMT", "version": "v1" } ]
2018-05-15
[ [ "Lipp", "Moritz", "" ], [ "Aga", "Misiker Tadesse", "" ], [ "Schwarz", "Michael", "" ], [ "Gruss", "Daniel", "" ], [ "Maurice", "Clémentine", "" ], [ "Raab", "Lukas", "" ], [ "Lamster", "Lukas", "" ] ]
A fundamental assumption in software security is that memory contents do not change unless there is a legitimate deliberate modification. Classical fault attacks show that this assumption does not hold if the attacker has physical access. Rowhammer attacks showed that local code execution is already sufficient to break...
2310.02439
Naiming (Lucy) Liu
Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We propose novel evaluations for mathematical reasoning capabilities of Large Language Models (LLMs) based on mathematical misconceptions. Our primary approach is to simulate LLMs as a novice learner and an expert tutor, aiming to identify the incorrect answer to math question resulted from a specific misconception a...
[ { "created": "Tue, 3 Oct 2023 21:19:50 GMT", "version": "v1" } ]
2023-10-05
[ [ "Liu", "Naiming", "" ], [ "Sonkar", "Shashank", "" ], [ "Wang", "Zichao", "" ], [ "Woodhead", "Simon", "" ], [ "Baraniuk", "Richard G.", "" ] ]
We propose novel evaluations for mathematical reasoning capabilities of Large Language Models (LLMs) based on mathematical misconceptions. Our primary approach is to simulate LLMs as a novice learner and an expert tutor, aiming to identify the incorrect answer to math question resulted from a specific misconception and...
2407.19546
Zeyu Zhang
Biao Wu, Yutong Xie, Zeyu Zhang, Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu
XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Vision-and-language pretraining (VLP) in the medical field utilizes contrastive learning on image-text pairs to achieve effective transfer across tasks. Yet, current VLP approaches with the masked modelling strategy face two challenges when applied to the medical domain. First, current models struggle to accurately r...
[ { "created": "Sun, 28 Jul 2024 17:38:21 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2024 10:53:37 GMT", "version": "v2" } ]
2024-08-05
[ [ "Wu", "Biao", "" ], [ "Xie", "Yutong", "" ], [ "Zhang", "Zeyu", "" ], [ "Phan", "Minh Hieu", "" ], [ "Chen", "Qi", "" ], [ "Chen", "Ling", "" ], [ "Wu", "Qi", "" ] ]
Vision-and-language pretraining (VLP) in the medical field utilizes contrastive learning on image-text pairs to achieve effective transfer across tasks. Yet, current VLP approaches with the masked modelling strategy face two challenges when applied to the medical domain. First, current models struggle to accurately rec...
2012.11067
Alexey Ignatiev
Alexey Ignatiev, Nina Narodytska, Nicholas Asher, Joao Marques-Silva
On Relating 'Why?' and 'Why Not?' Explanations
null
null
null
null
cs.LG cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Explanations of Machine Learning (ML) models often address a 'Why?' question. Such explanations can be related with selecting feature-value pairs which are sufficient for the prediction. Recent work has investigated explanations that address a 'Why Not?' question, i.e. finding a change of feature values that guarante...
[ { "created": "Mon, 21 Dec 2020 01:07:13 GMT", "version": "v1" } ]
2020-12-22
[ [ "Ignatiev", "Alexey", "" ], [ "Narodytska", "Nina", "" ], [ "Asher", "Nicholas", "" ], [ "Marques-Silva", "Joao", "" ] ]
Explanations of Machine Learning (ML) models often address a 'Why?' question. Such explanations can be related with selecting feature-value pairs which are sufficient for the prediction. Recent work has investigated explanations that address a 'Why Not?' question, i.e. finding a change of feature values that guarantee ...
2310.20138
Xinwei Wu
Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
EMNLP 2023
null
null
null
cs.CR cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Large language models pretrained on a huge amount of data capture rich knowledge and information in the training data. The ability of data memorization and regurgitation in pretrained language models, revealed in previous studies, brings the risk of data leakage. In order to effectively reduce these risks, we propose...
[ { "created": "Tue, 31 Oct 2023 03:09:36 GMT", "version": "v1" }, { "created": "Tue, 5 Dec 2023 16:14:24 GMT", "version": "v2" } ]
2023-12-06
[ [ "Wu", "Xinwei", "" ], [ "Li", "Junzhuo", "" ], [ "Xu", "Minghui", "" ], [ "Dong", "Weilong", "" ], [ "Wu", "Shuangzhi", "" ], [ "Bian", "Chao", "" ], [ "Xiong", "Deyi", "" ] ]
Large language models pretrained on a huge amount of data capture rich knowledge and information in the training data. The ability of data memorization and regurgitation in pretrained language models, revealed in previous studies, brings the risk of data leakage. In order to effectively reduce these risks, we propose a...
2402.16029
Nuo Chen
Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li
GraphWiz: An Instruction-Following Language Model for Graph Problems
27pages, 15 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have achieved impressive success across several fields, but their proficiency in understanding and resolving complex graph problems is less explored. To bridge this gap, we introduce GraphInstruct, a novel and comprehensive instruction-tuning dataset designed to equip language models with...
[ { "created": "Sun, 25 Feb 2024 08:41:32 GMT", "version": "v1" }, { "created": "Wed, 6 Mar 2024 13:52:12 GMT", "version": "v2" }, { "created": "Mon, 1 Jul 2024 09:15:38 GMT", "version": "v3" }, { "created": "Tue, 2 Jul 2024 06:40:30 GMT", "version": "v4" }, { "crea...
2024-07-04
[ [ "Chen", "Nuo", "" ], [ "Li", "Yuhan", "" ], [ "Tang", "Jianheng", "" ], [ "Li", "Jia", "" ] ]
Large language models (LLMs) have achieved impressive success across several fields, but their proficiency in understanding and resolving complex graph problems is less explored. To bridge this gap, we introduce GraphInstruct, a novel and comprehensive instruction-tuning dataset designed to equip language models with t...
2204.10982
Pradeep Kr. Banerjee
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Guido Mont\'ufar, J\"urgen Jost
Continuity and Additivity Properties of Information Decompositions
17 pages
International Journal of Approximate Reasoning, 2023
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Information decompositions quantify how the Shannon information about a given random variable is distributed among several other random variables. Various requirements have been proposed that such a decomposition should satisfy, leading to different candidate solutions. Curiously, however, only two of the original re...
[ { "created": "Sat, 23 Apr 2022 03:45:18 GMT", "version": "v1" }, { "created": "Sun, 9 Jul 2023 15:00:06 GMT", "version": "v2" } ]
2023-07-11
[ [ "Rauh", "Johannes", "" ], [ "Banerjee", "Pradeep Kr.", "" ], [ "Olbrich", "Eckehard", "" ], [ "Montúfar", "Guido", "" ], [ "Jost", "Jürgen", "" ] ]
Information decompositions quantify how the Shannon information about a given random variable is distributed among several other random variables. Various requirements have been proposed that such a decomposition should satisfy, leading to different candidate solutions. Curiously, however, only two of the original requ...
2010.14565
Li-Chia Yang
Li-Chia Yang, Alexander Lerch
Remixing Music with Visual Conditioning
null
2020 IEEE International Symposium on Multimedia
null
null
cs.SD cs.MM eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a visually conditioned music remixing system by incorporating deep visual and audio models. The method is based on a state of the art audio-visual source separation model which performs music instrument source separation with video information. We modified the model to work with user-selected images instea...
[ { "created": "Tue, 27 Oct 2020 19:12:08 GMT", "version": "v1" } ]
2020-10-29
[ [ "Yang", "Li-Chia", "" ], [ "Lerch", "Alexander", "" ] ]
We propose a visually conditioned music remixing system by incorporating deep visual and audio models. The method is based on a state of the art audio-visual source separation model which performs music instrument source separation with video information. We modified the model to work with user-selected images instead ...
2109.04258
Xiaodong Jia
Xiaodong Jia, Ashish Kumar, Gang Tan
A Derivative-based Parser Generator for Visibly Pushdown Grammars
null
null
null
null
cs.PL cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a derivative-based, functional recognizer and parser generator for visibly pushdown grammars. The generated parser accepts ambiguous grammars and produces a parse forest containing all valid parse trees for an input string in linear time. Each parse tree in the forest can then be extracted a...
[ { "created": "Thu, 9 Sep 2021 13:28:31 GMT", "version": "v1" }, { "created": "Fri, 10 Sep 2021 01:50:05 GMT", "version": "v2" } ]
2021-09-13
[ [ "Jia", "Xiaodong", "" ], [ "Kumar", "Ashish", "" ], [ "Tan", "Gang", "" ] ]
In this paper, we present a derivative-based, functional recognizer and parser generator for visibly pushdown grammars. The generated parser accepts ambiguous grammars and produces a parse forest containing all valid parse trees for an input string in linear time. Each parse tree in the forest can then be extracted als...
1512.03022
Robert Elsaesser
Chen Avin and Robert Els\"asser
Breaking the log n barrier on rumor spreading
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
$O(\log n)$ rounds has been a well known upper bound for rumor spreading using push&pull in the random phone call model (i.e., uniform gossip in the complete graph). A matching lower bound of $\Omega(\log n)$ is also known for this special case. Under the assumption of this model and with a natural addition that node...
[ { "created": "Tue, 8 Dec 2015 16:56:19 GMT", "version": "v1" } ]
2015-12-10
[ [ "Avin", "Chen", "" ], [ "Elsässer", "Robert", "" ] ]
$O(\log n)$ rounds has been a well known upper bound for rumor spreading using push&pull in the random phone call model (i.e., uniform gossip in the complete graph). A matching lower bound of $\Omega(\log n)$ is also known for this special case. Under the assumption of this model and with a natural addition that nodes ...
1508.01006
Dongxu Zhang
Dongxu Zhang and Dong Wang
Relation Classification via Recurrent Neural Network
null
null
null
null
cs.CL cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has gained much success in sentence-level relation classification. For example, convolutional neural networks (CNN) have delivered competitive performance without much effort on feature engineering as the conventional pattern-based methods. Thus a lot of works have been produced based on CNN structures....
[ { "created": "Wed, 5 Aug 2015 09:03:46 GMT", "version": "v1" }, { "created": "Fri, 25 Dec 2015 03:51:00 GMT", "version": "v2" } ]
2015-12-29
[ [ "Zhang", "Dongxu", "" ], [ "Wang", "Dong", "" ] ]
Deep learning has gained much success in sentence-level relation classification. For example, convolutional neural networks (CNN) have delivered competitive performance without much effort on feature engineering as the conventional pattern-based methods. Thus a lot of works have been produced based on CNN structures. H...
1103.3113
Xiaojun Tang
Xiaojun Tang, Ruoheng Liu, Predrag Spasojevic, H. Vincent Poor
A Broadcast Approach To Secret Key Generation Over Slow Fading Channels
submitted to IEEE Trans. Information Theory
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A secret-key generation scheme based on a layered broadcasting strategy is introduced for slow-fading channels. In the model considered, Alice wants to share a key with Bob while keeping the key secret from Eve, who is a passive eavesdropper. Both Alice-Bob and Alice-Eve channels are assumed to undergo slow fading, a...
[ { "created": "Wed, 16 Mar 2011 07:03:51 GMT", "version": "v1" } ]
2011-03-17
[ [ "Tang", "Xiaojun", "" ], [ "Liu", "Ruoheng", "" ], [ "Spasojevic", "Predrag", "" ], [ "Poor", "H. Vincent", "" ] ]
A secret-key generation scheme based on a layered broadcasting strategy is introduced for slow-fading channels. In the model considered, Alice wants to share a key with Bob while keeping the key secret from Eve, who is a passive eavesdropper. Both Alice-Bob and Alice-Eve channels are assumed to undergo slow fading, and...
1203.0369
Ak Rs
Abhijit Chowdhury (NSHM College of Management & Technology, Durgapur West Bengal, INDIA), Angshu Kumar Sinha (NSHM College of Management & Technology, Durgapur West Bengal, INDIA) Saurabh Dutta (Dr. B.C Roy Engineering College West Bengal, INDIA)
Introduction of a Triple Prime Symmetric Key Block Cipher
null
International Journal of Computer Applications (0975 - 8887) Volume 39 - No.7, February 2012
10.5120/4831-7089
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes to put forward an innovative algorithm for symmetric key block cipher named as "Triple Prime Symmetric Key Block Cipher with Variable Key-Spaces (TPSKBCVK)" that employs triple prime integers as private key-spaces of varying lengths to encrypt data files. Principles of modular arithmetic have been...
[ { "created": "Fri, 2 Mar 2012 04:50:35 GMT", "version": "v1" } ]
2012-03-19
[ [ "Chowdhury", "Abhijit", "", "NSHM College of Management & Technology, Durgapur\n West Bengal, INDIA" ], [ "Sinha", "Angshu Kumar", "", "NSHM College of Management &\n Technology, Durgapur West Bengal, INDIA" ], [ "Dutta", "Saurabh", "", "Dr. B.C Roy\n Eng...
This paper proposes to put forward an innovative algorithm for symmetric key block cipher named as "Triple Prime Symmetric Key Block Cipher with Variable Key-Spaces (TPSKBCVK)" that employs triple prime integers as private key-spaces of varying lengths to encrypt data files. Principles of modular arithmetic have been e...
2206.13749
Rongzhi Zhang
Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
KDD 2022 Applied Data Science Track
null
10.1145/3534678.3539208
null
cs.LG cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
On e-commerce platforms, predicting if two products are compatible with each other is an important functionality to achieve trustworthy product recommendation and search experience for consumers. However, accurately predicting product compatibility is difficult due to the heterogeneous product data and the lack of ma...
[ { "created": "Tue, 28 Jun 2022 04:11:58 GMT", "version": "v1" } ]
2022-06-29
[ [ "Zhang", "Rongzhi", "" ], [ "West", "Rebecca", "" ], [ "Cui", "Xiquan", "" ], [ "Zhang", "Chao", "" ] ]
On e-commerce platforms, predicting if two products are compatible with each other is an important functionality to achieve trustworthy product recommendation and search experience for consumers. However, accurately predicting product compatibility is difficult due to the heterogeneous product data and the lack of manu...
1705.09552
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
Classification regions of deep neural networks
null
null
null
null
cs.CV cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this paper is to analyze the geometric properties of deep neural network classifiers in the input space. We specifically study the topology of classification regions created by deep networks, as well as their associated decision boundary. Through a systematic empirical investigation, we show that state-of...
[ { "created": "Fri, 26 May 2017 12:38:48 GMT", "version": "v1" } ]
2017-05-29
[ [ "Fawzi", "Alhussein", "" ], [ "Moosavi-Dezfooli", "Seyed-Mohsen", "" ], [ "Frossard", "Pascal", "" ], [ "Soatto", "Stefano", "" ] ]
The goal of this paper is to analyze the geometric properties of deep neural network classifiers in the input space. We specifically study the topology of classification regions created by deep networks, as well as their associated decision boundary. Through a systematic empirical investigation, we show that state-of-t...
2305.09221
Nazatul Haque Sultan
Nazatul H. Sultan, Shabnam Kasra-Kermanshahi, Yen Tran, Shangqi Lai, Vijay Varadharajan, Surya Nepal, and Xun Yi
A Multi-Client Searchable Encryption Scheme for IoT Environment
22 pages, 5 figures, this version was submitted to ESORICS 2023
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The proliferation of connected devices through Internet connectivity presents both opportunities for smart applications and risks to security and privacy. It is vital to proactively address these concerns to fully leverage the potential of the Internet of Things. IoT services where one data owner serves multiple clie...
[ { "created": "Tue, 16 May 2023 06:53:39 GMT", "version": "v1" } ]
2023-05-17
[ [ "Sultan", "Nazatul H.", "" ], [ "Kasra-Kermanshahi", "Shabnam", "" ], [ "Tran", "Yen", "" ], [ "Lai", "Shangqi", "" ], [ "Varadharajan", "Vijay", "" ], [ "Nepal", "Surya", "" ], [ "Yi", "Xun", "" ] ]
The proliferation of connected devices through Internet connectivity presents both opportunities for smart applications and risks to security and privacy. It is vital to proactively address these concerns to fully leverage the potential of the Internet of Things. IoT services where one data owner serves multiple client...
2211.15656
Hao Dong
Hao Dong, Xianjing Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala and Xieyuanli Chen
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-definition (HD) semantic map generation of the environment is an essential component of autonomous driving. Existing methods have achieved good performance in this task by fusing different sensor modalities, such as LiDAR and camera. However, current works are based on raw data or network feature-level fusion an...
[ { "created": "Mon, 28 Nov 2022 18:59:02 GMT", "version": "v1" }, { "created": "Thu, 16 Mar 2023 16:01:22 GMT", "version": "v2" } ]
2023-03-17
[ [ "Dong", "Hao", "" ], [ "Zhang", "Xianjing", "" ], [ "Xu", "Jintao", "" ], [ "Ai", "Rui", "" ], [ "Gu", "Weihao", "" ], [ "Lu", "Huimin", "" ], [ "Kannala", "Juho", "" ], [ "Chen", "Xieyuanli", ...
High-definition (HD) semantic map generation of the environment is an essential component of autonomous driving. Existing methods have achieved good performance in this task by fusing different sensor modalities, such as LiDAR and camera. However, current works are based on raw data or network feature-level fusion and ...
1810.08691
Dawei Liang
Dawei Liang, Edison Thomaz
Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos
18 pages,7 figures; new version: results updates
ACM IMWUT 3(1) 2019 Article 17
10.1145/3314404
null
cs.HC cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the years, activity sensing and recognition has been shown to play a key enabling role in a wide range of applications, from sustainability and human-computer interaction to health care. While many recognition tasks have traditionally employed inertial sensors, acoustic-based methods offer the benefit of capturi...
[ { "created": "Fri, 19 Oct 2018 21:19:16 GMT", "version": "v1" }, { "created": "Sun, 18 Nov 2018 09:08:24 GMT", "version": "v2" } ]
2019-04-09
[ [ "Liang", "Dawei", "" ], [ "Thomaz", "Edison", "" ] ]
Over the years, activity sensing and recognition has been shown to play a key enabling role in a wide range of applications, from sustainability and human-computer interaction to health care. While many recognition tasks have traditionally employed inertial sensors, acoustic-based methods offer the benefit of capturing...
2303.16411
Zheng Naishan
Man Zhou, Naishan Zheng, Jie Huang, Chunle Guo, Chongyi Li
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image and video restoration has achieved a remarkable leap with the advent of deep learning. The success of deep learning paradigm lies in three key components: data, model, and loss. Currently, many efforts have been devoted to the first two while seldom study focuses on loss function. With the question ``are the de...
[ { "created": "Wed, 29 Mar 2023 02:41:08 GMT", "version": "v1" } ]
2023-03-30
[ [ "Zhou", "Man", "" ], [ "Zheng", "Naishan", "" ], [ "Huang", "Jie", "" ], [ "Guo", "Chunle", "" ], [ "Li", "Chongyi", "" ] ]
Image and video restoration has achieved a remarkable leap with the advent of deep learning. The success of deep learning paradigm lies in three key components: data, model, and loss. Currently, many efforts have been devoted to the first two while seldom study focuses on loss function. With the question ``are the de f...
2208.06111
Charbel Toumieh
Charbel Toumieh, Alain Lambert
Shape-aware Safe Corridors Generation using Voxel Grids
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Safe Corridors (a series of overlapping convex shapes) have been used recently in multiple state-of-the-art motion planning methods. They allow to represent the free space in the environment in an efficient way for collision avoidance. In this paper, we propose a new framework for generating Safe Corridors. We assume...
[ { "created": "Fri, 12 Aug 2022 04:25:39 GMT", "version": "v1" }, { "created": "Tue, 16 Aug 2022 02:34:03 GMT", "version": "v2" } ]
2022-08-17
[ [ "Toumieh", "Charbel", "" ], [ "Lambert", "Alain", "" ] ]
Safe Corridors (a series of overlapping convex shapes) have been used recently in multiple state-of-the-art motion planning methods. They allow to represent the free space in the environment in an efficient way for collision avoidance. In this paper, we propose a new framework for generating Safe Corridors. We assume t...
1805.02165
Xinghao Ding
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
8 pages, 6 figures, 3 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The need for fast acquisition and automatic analysis of MRI data is growing in the age of big data. Although compressed sensing magnetic resonance imaging (CS-MRI) has been studied to accelerate MRI by reducing k-space measurements, in current CS-MRI techniques MRI applications such as segmentation are overlooked whe...
[ { "created": "Sun, 6 May 2018 07:45:32 GMT", "version": "v1" } ]
2018-05-08
[ [ "Sun", "Liyan", "" ], [ "Fan", "Zhiwen", "" ], [ "Huang", "Yue", "" ], [ "Ding", "Xinghao", "" ], [ "Paisley", "John", "" ] ]
The need for fast acquisition and automatic analysis of MRI data is growing in the age of big data. Although compressed sensing magnetic resonance imaging (CS-MRI) has been studied to accelerate MRI by reducing k-space measurements, in current CS-MRI techniques MRI applications such as segmentation are overlooked when ...
2009.12185
Tom\'a\v{s} Kroupa
Luk\'a\v{s} Adam, Rostislav Hor\v{c}\'ik, Tom\'a\v{s} Kasl, Tom\'a\v{s} Kroupa
Double Oracle Algorithm for Computing Equilibria in Continuous Games
null
null
null
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many efficient algorithms have been designed to recover Nash equilibria of various classes of finite games. Special classes of continuous games with infinite strategy spaces, such as polynomial games, can be solved by semidefinite programming. In general, however, continuous games are not directly amenable to computa...
[ { "created": "Fri, 25 Sep 2020 12:42:08 GMT", "version": "v1" }, { "created": "Wed, 30 Sep 2020 16:12:53 GMT", "version": "v2" } ]
2020-10-01
[ [ "Adam", "Lukáš", "" ], [ "Horčík", "Rostislav", "" ], [ "Kasl", "Tomáš", "" ], [ "Kroupa", "Tomáš", "" ] ]
Many efficient algorithms have been designed to recover Nash equilibria of various classes of finite games. Special classes of continuous games with infinite strategy spaces, such as polynomial games, can be solved by semidefinite programming. In general, however, continuous games are not directly amenable to computati...
2010.00246
Zheng Gu
Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
CariMe: Unpaired Caricature Generation with Multiple Exaggerations
null
null
null
null
cs.CV cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Caricature generation aims to translate real photos into caricatures with artistic styles and shape exaggerations while maintaining the identity of the subject. Different from the generic image-to-image translation, drawing a caricature automatically is a more challenging task due to the existence of various spacial ...
[ { "created": "Thu, 1 Oct 2020 08:14:32 GMT", "version": "v1" } ]
2020-10-02
[ [ "Gu", "Zheng", "" ], [ "Dong", "Chuanqi", "" ], [ "Huo", "Jing", "" ], [ "Li", "Wenbin", "" ], [ "Gao", "Yang", "" ] ]
Caricature generation aims to translate real photos into caricatures with artistic styles and shape exaggerations while maintaining the identity of the subject. Different from the generic image-to-image translation, drawing a caricature automatically is a more challenging task due to the existence of various spacial de...
2101.10882
Sidhanth Mohanty
Siqi Liu, Sidhanth Mohanty, Prasad Raghavendra
On statistical inference when fixed points of belief propagation are unstable
Title changed. More detailed description of results and technical overview in the intro
null
null
null
cs.DS math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many statistical inference problems correspond to recovering the values of a set of hidden variables from sparse observations on them. For instance, in a planted constraint satisfaction problem such as planted 3-SAT, the clauses are sparse observations from which the hidden assignment is to be recovered. In the probl...
[ { "created": "Tue, 26 Jan 2021 15:51:44 GMT", "version": "v1" }, { "created": "Sat, 17 Jul 2021 18:53:55 GMT", "version": "v2" } ]
2021-07-20
[ [ "Liu", "Siqi", "" ], [ "Mohanty", "Sidhanth", "" ], [ "Raghavendra", "Prasad", "" ] ]
Many statistical inference problems correspond to recovering the values of a set of hidden variables from sparse observations on them. For instance, in a planted constraint satisfaction problem such as planted 3-SAT, the clauses are sparse observations from which the hidden assignment is to be recovered. In the problem...
2404.09494
Junfan Li
Junfan Li and Zenglin Xu and Zheshun Wu and Irwin King
On the Necessity of Collaboration in Online Model Selection with Decentralized Data
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider online model selection with decentralized data over $M$ clients, and study the necessity of collaboration among clients. Previous work proposed various federated algorithms without demonstrating their necessity, while we answer the question from a novel perspective of computational constraints. We prove l...
[ { "created": "Mon, 15 Apr 2024 06:32:28 GMT", "version": "v1" }, { "created": "Tue, 14 May 2024 11:29:13 GMT", "version": "v2" }, { "created": "Wed, 22 May 2024 02:07:41 GMT", "version": "v3" } ]
2024-05-24
[ [ "Li", "Junfan", "" ], [ "Xu", "Zenglin", "" ], [ "Wu", "Zheshun", "" ], [ "King", "Irwin", "" ] ]
We consider online model selection with decentralized data over $M$ clients, and study the necessity of collaboration among clients. Previous work proposed various federated algorithms without demonstrating their necessity, while we answer the question from a novel perspective of computational constraints. We prove low...
2110.01098
Michael Coblenz
Michael Coblenz, Michelle Mazurek, Michael Hicks
Garbage Collection Makes Rust Easier to Use: A Randomized Controlled Trial of the Bronze Garbage Collector
Michael Coblenz, Michelle L. Mazurek, and Michael Hicks. 2022. Garbage Collection Makes Rust Easier to Use: A Randomized Controlled Trial of the Bronze Garbage Collector. In 44th International Conference on Software Engineering (ICSE '22), May 21-29, 2022, Pittsburgh, PA, USA. ACM, New York, NY, USA, 12 pages. ...
null
10.1145/3510003.3510107
null
cs.SE cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rust is a general-purpose programming language that is both type- and memory-safe. Rust does not use a garbage collector, but rather achieves these properties through a sophisticated, but complex, type system. Doing so makes Rust very efficient, but makes Rust relatively hard to learn and use. We designed Bronze, an ...
[ { "created": "Sun, 3 Oct 2021 20:26:24 GMT", "version": "v1" }, { "created": "Tue, 15 Feb 2022 14:55:41 GMT", "version": "v2" } ]
2022-02-16
[ [ "Coblenz", "Michael", "" ], [ "Mazurek", "Michelle", "" ], [ "Hicks", "Michael", "" ] ]
Rust is a general-purpose programming language that is both type- and memory-safe. Rust does not use a garbage collector, but rather achieves these properties through a sophisticated, but complex, type system. Doing so makes Rust very efficient, but makes Rust relatively hard to learn and use. We designed Bronze, an op...
2106.16085
Jinwook Lee Ph.D.
Matthew J. Schneider and Jinwook Lee
Protecting Time Series Data with Minimal Forecast Loss
found better results
null
null
null
cs.CR cs.DM math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Forecasting could be negatively impacted due to anonymization requirements in data protection legislation. To measure the potential severity of this problem, we derive theoretical bounds for the loss to forecasts from additive exponential smoothing models using protected data. Following the guidelines of anonymizatio...
[ { "created": "Wed, 30 Jun 2021 14:20:02 GMT", "version": "v1" }, { "created": "Tue, 7 Mar 2023 15:14:44 GMT", "version": "v2" } ]
2023-03-08
[ [ "Schneider", "Matthew J.", "" ], [ "Lee", "Jinwook", "" ] ]
Forecasting could be negatively impacted due to anonymization requirements in data protection legislation. To measure the potential severity of this problem, we derive theoretical bounds for the loss to forecasts from additive exponential smoothing models using protected data. Following the guidelines of anonymization ...
2403.12463
Mehmet Tekerek (PhD)
Mehmet Gok, Mehmet Tekerek, Hamza Aydemir
Reinforcement learning based local path planning for mobile robot
5 Pages, 10 figures, Presented in; Interdisciplinary Conference on Mechanics, Computers and Electrics ANKARA/TURKEY 27-28 November 2021
Interdisciplinary Conference on Mechanics, Computers and Electrics, 27-28 Nov. 2021, Ankara
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Different methods are used for a mobile robot to go to a specific target location. These methods work in different ways for online and offline scenarios. In the offline scenario, an environment map is created once, and fixed path planning is made on this map to reach the target. Path planning algorithms such as A* an...
[ { "created": "Tue, 24 Oct 2023 18:26:25 GMT", "version": "v1" } ]
2024-03-20
[ [ "Gok", "Mehmet", "" ], [ "Tekerek", "Mehmet", "" ], [ "Aydemir", "Hamza", "" ] ]
Different methods are used for a mobile robot to go to a specific target location. These methods work in different ways for online and offline scenarios. In the offline scenario, an environment map is created once, and fixed path planning is made on this map to reach the target. Path planning algorithms such as A* and ...
2011.02068
Sichang Tu
Amir Zeldes, Lance Martin and Sichang Tu
Exhaustive Entity Recognition for Coptic: Challenges and Solutions
9 pages, 2 figures, 5 tables. Accepted by The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
null
null
null
cs.CL cs.DL
http://creativecommons.org/licenses/by/4.0/
Entity recognition provides semantic access to ancient materials in the Digital Humanities: itexposes people and places of interest in texts that cannot be read exhaustively, facilitates linkingresources and can provide a window into text contents, even for texts with no translations. Inthis paper we present entity r...
[ { "created": "Tue, 3 Nov 2020 23:49:42 GMT", "version": "v1" } ]
2020-11-05
[ [ "Zeldes", "Amir", "" ], [ "Martin", "Lance", "" ], [ "Tu", "Sichang", "" ] ]
Entity recognition provides semantic access to ancient materials in the Digital Humanities: itexposes people and places of interest in texts that cannot be read exhaustively, facilitates linkingresources and can provide a window into text contents, even for texts with no translations. Inthis paper we present entity rec...
1602.07808
Junaid Qadir
Junaid Qadir, Arjuna Sathiaseelan, Liang Wang, Jon Crowcroft
"Resource Pooling" for Wireless Networks: Solutions for the Developing World
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We live in a world in which there is a great disparity between the lives of the rich and the poor. Technology offers great promise in bridging this gap. In particular, wireless technology unfetters developing communities from the constraints of infrastructure providing a great opportunity to leapfrog years of neglect...
[ { "created": "Thu, 25 Feb 2016 05:57:51 GMT", "version": "v1" } ]
2016-02-26
[ [ "Qadir", "Junaid", "" ], [ "Sathiaseelan", "Arjuna", "" ], [ "Wang", "Liang", "" ], [ "Crowcroft", "Jon", "" ] ]
We live in a world in which there is a great disparity between the lives of the rich and the poor. Technology offers great promise in bridging this gap. In particular, wireless technology unfetters developing communities from the constraints of infrastructure providing a great opportunity to leapfrog years of neglect a...
1211.2365
Sylvester Eriksson-Bique
Sylvester Eriksson-Bique (University of Washington and University of Helsinki) and David Kirkpatrick (University of British Columbia) and Valentin Polishchuk (University of Helsinki)
Discrete Dubins Paths
26 pages
null
null
null
cs.DM cs.CG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A Dubins path is a shortest path with bounded curvature. The seminal result in non-holonomic motion planning is that (in the absence of obstacles) a Dubins path consists either from a circular arc followed by a segment followed by another arc, or from three circular arcs [Dubins, 1957]. Dubins original proof uses adv...
[ { "created": "Sun, 11 Nov 2012 01:45:17 GMT", "version": "v1" } ]
2012-11-14
[ [ "Eriksson-Bique", "Sylvester", "", "University of Washington and University of\n Helsinki" ], [ "Kirkpatrick", "David", "", "University of British Columbia" ], [ "Polishchuk", "Valentin", "", "University of Helsinki" ] ]
A Dubins path is a shortest path with bounded curvature. The seminal result in non-holonomic motion planning is that (in the absence of obstacles) a Dubins path consists either from a circular arc followed by a segment followed by another arc, or from three circular arcs [Dubins, 1957]. Dubins original proof uses advan...
2209.15181
Jianzong Wang
Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
This paper is accepted by DSAA2022. The 9th IEEE International Conference on Data Science and Advanced Analytics
null
null
null
cs.LG cs.AI q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The extraction of sequence patterns from a collection of functionally linked unlabeled DNA sequences is known as DNA motif discovery, and it is a key task in computational biology. Several deep learning-based techniques have recently been introduced to address this issue. However, these algorithms can not be used in ...
[ { "created": "Fri, 30 Sep 2022 02:07:37 GMT", "version": "v1" } ]
2022-10-03
[ [ "Wang", "Wen", "" ], [ "Wang", "Jianzong", "" ], [ "Si", "Shijing", "" ], [ "Huang", "Zhangcheng", "" ], [ "Xiao", "Jing", "" ] ]
The extraction of sequence patterns from a collection of functionally linked unlabeled DNA sequences is known as DNA motif discovery, and it is a key task in computational biology. Several deep learning-based techniques have recently been introduced to address this issue. However, these algorithms can not be used in re...
1401.3839
Silvia Richter
Silvia Richter, Matthias Westphal
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
null
Journal Of Artificial Intelligence Research, Volume 39, pages 127-177, 2010
10.1613/jair.2972
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must be true in every solution of a planning task. LAMA builds on the Fast Downward planning system, using finite-domain rather than binary state...
[ { "created": "Thu, 16 Jan 2014 04:52:55 GMT", "version": "v1" } ]
2014-01-17
[ [ "Richter", "Silvia", "" ], [ "Westphal", "Matthias", "" ] ]
LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must be true in every solution of a planning task. LAMA builds on the Fast Downward planning system, using finite-domain rather than binary state v...
1807.01857
Mohammad Masudur Rahman
Mohammad Masudur Rahman, Shamima Yeasmin and Chanchal K. Roy
An IDE-Based Context-Aware Meta Search Engine
20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany, October 2013, pp. 467--471
null
10.1109/WCRE.2013.6671324
null
cs.SE cs.IR
http://creativecommons.org/licenses/by/4.0/
Traditional web search forces the developers to leave their working environments and look for solutions in the web browsers. It often does not consider the context of their programming problems. The context-switching between the web browser and the working environment is time-consuming and distracting, and the keywor...
[ { "created": "Thu, 5 Jul 2018 06:05:46 GMT", "version": "v1" } ]
2018-07-06
[ [ "Rahman", "Mohammad Masudur", "" ], [ "Yeasmin", "Shamima", "" ], [ "Roy", "Chanchal K.", "" ] ]
Traditional web search forces the developers to leave their working environments and look for solutions in the web browsers. It often does not consider the context of their programming problems. The context-switching between the web browser and the working environment is time-consuming and distracting, and the keyword-...
1705.08277
Pieter Leyman
Pieter Leyman and Patrick De Causmaecker
Optimization in large graphs: Toward a better future?
null
null
null
null
cs.DS cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finding groups of connected individuals in large graphs with tens of thousands or more nodes has received considerable attention in academic research. In this paper, we analyze three main issues with respect to the recent influx of papers on community detection in (large) graphs, highlight the specific problems with ...
[ { "created": "Tue, 23 May 2017 14:02:15 GMT", "version": "v1" } ]
2017-05-24
[ [ "Leyman", "Pieter", "" ], [ "De Causmaecker", "Patrick", "" ] ]
Finding groups of connected individuals in large graphs with tens of thousands or more nodes has received considerable attention in academic research. In this paper, we analyze three main issues with respect to the recent influx of papers on community detection in (large) graphs, highlight the specific problems with th...
1205.3247
Zohreh Sanaei
Zohreh Sanaei, Saeid Abolfazli, Abdullah Gani, Rashid Hafeez Khokhar
Tripod of Requirements in Horizontal Heterogeneous Mobile Cloud Computing
null
Z. Sanaei, S. Abolfazli, A. Gani, and R. H. Khokhar, "Tripod of requirements in horizontal heterogeneous mobile cloud computing," in Proc.1st Int'l Conf. Computing, Information Systems, and Communications, 2012
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/3.0/
Recent trend of mobile computing is emerging toward executing resource-intensive applications in mobile devices regardless of underlying resource restrictions (e.g. limited processor and energy) that necessitate imminent technologies. Prosperity of cloud computing in stationary computers breeds Mobile Cloud Computing...
[ { "created": "Tue, 15 May 2012 03:29:23 GMT", "version": "v1" } ]
2012-05-16
[ [ "Sanaei", "Zohreh", "" ], [ "Abolfazli", "Saeid", "" ], [ "Gani", "Abdullah", "" ], [ "Khokhar", "Rashid Hafeez", "" ] ]
Recent trend of mobile computing is emerging toward executing resource-intensive applications in mobile devices regardless of underlying resource restrictions (e.g. limited processor and energy) that necessitate imminent technologies. Prosperity of cloud computing in stationary computers breeds Mobile Cloud Computing (...
cs/0501011
Sergei Fedorenko
Sergei Fedorenko
A simple algorithm for decoding Reed-Solomon codes and its relation to the Welch-Berlekamp algorithm
7 pages. Submitted to IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, vol. IT-51, no. 3, pp. 1196-1198, 2005.
10.1109/TIT.2004.842738
null
cs.IT math.IT
null
A simple and natural Gao algorithm for decoding algebraic codes is described. Its relation to the Welch-Berlekamp and Euclidean algorithms is given.
[ { "created": "Thu, 6 Jan 2005 18:55:37 GMT", "version": "v1" } ]
2007-07-16
[ [ "Fedorenko", "Sergei", "" ] ]
A simple and natural Gao algorithm for decoding algebraic codes is described. Its relation to the Welch-Berlekamp and Euclidean algorithms is given.
2205.01006
Shi Xian
Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic understanding of 3D point cloud relies on learning models with massively annotated data, which, in many cases, are expensive or difficult to collect. This has led to an emerging research interest in semi-supervised learning (SSL) for 3D point cloud. It is commonly assumed in SSL that the unlabeled data are d...
[ { "created": "Mon, 2 May 2022 16:09:17 GMT", "version": "v1" } ]
2022-05-03
[ [ "Shi", "Xian", "" ], [ "Xu", "Xun", "" ], [ "Zhang", "Wanyue", "" ], [ "Zhu", "Xiatian", "" ], [ "Foo", "Chuan Sheng", "" ], [ "Jia", "Kui", "" ] ]
Semantic understanding of 3D point cloud relies on learning models with massively annotated data, which, in many cases, are expensive or difficult to collect. This has led to an emerging research interest in semi-supervised learning (SSL) for 3D point cloud. It is commonly assumed in SSL that the unlabeled data are dra...
1903.09734
Kamyar Azizzadenesheli Ph.D.
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts
International Conference on Learning Representations (ICLR) 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose Regularized Learning under Label shifts (RLLS), a principled and a practical domain-adaptation algorithm to correct for shifts in the label distribution between a source and a target domain. We first estimate importance weights using labeled source data and unlabeled target data, and then train a classifie...
[ { "created": "Fri, 22 Mar 2019 23:46:24 GMT", "version": "v1" } ]
2020-08-10
[ [ "Azizzadenesheli", "Kamyar", "" ], [ "Liu", "Anqi", "" ], [ "Yang", "Fanny", "" ], [ "Anandkumar", "Animashree", "" ] ]
We propose Regularized Learning under Label shifts (RLLS), a principled and a practical domain-adaptation algorithm to correct for shifts in the label distribution between a source and a target domain. We first estimate importance weights using labeled source data and unlabeled target data, and then train a classifier ...
0810.2865
Krzysztof R. Apt
Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo and Evangelos Markakis
Welfare Undominated Groves Mechanisms
12 pages. To appear in Proceedings of the 4th International Workshop On Internet And Network Economics (WINE 2008). Springer Lecture Notes in Computer Science, 2008
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A common objective in mechanism design is to choose the outcome (for example, allocation of resources) that maximizes the sum of the agents' valuations, without introducing incentives for agents to misreport their preferences. The class of Groves mechanisms achieves this; however, these mechanisms require the agents ...
[ { "created": "Thu, 16 Oct 2008 08:25:11 GMT", "version": "v1" } ]
2008-10-17
[ [ "Apt", "Krzysztof R.", "" ], [ "Conitzer", "Vincent", "" ], [ "Guo", "Mingyu", "" ], [ "Markakis", "Evangelos", "" ] ]
A common objective in mechanism design is to choose the outcome (for example, allocation of resources) that maximizes the sum of the agents' valuations, without introducing incentives for agents to misreport their preferences. The class of Groves mechanisms achieves this; however, these mechanisms require the agents to...
2310.16624
Peter Sorrenson
Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich K\"othe
Free-form Flows: Make Any Architecture a Normalizing Flow
Camera-ready version: accepted at AISTATS 2024
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Normalizing Flows are generative models that directly maximize the likelihood. Previously, the design of normalizing flows was largely constrained by the need for analytical invertibility. We overcome this constraint by a training procedure that uses an efficient estimator for the gradient of the change of variables ...
[ { "created": "Wed, 25 Oct 2023 13:23:08 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 10:05:18 GMT", "version": "v2" } ]
2024-04-25
[ [ "Draxler", "Felix", "" ], [ "Sorrenson", "Peter", "" ], [ "Zimmermann", "Lea", "" ], [ "Rousselot", "Armand", "" ], [ "Köthe", "Ullrich", "" ] ]
Normalizing Flows are generative models that directly maximize the likelihood. Previously, the design of normalizing flows was largely constrained by the need for analytical invertibility. We overcome this constraint by a training procedure that uses an efficient estimator for the gradient of the change of variables fo...
2402.06500
Charles Assaad
Lei Zan, Charles K. Assaad, Emilie Devijver, Eric Gaussier, Ali A\"it-Bachir
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
Accepted to CIKM 2024
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper introduces a new structural causal model tailored for representing threshold-based IT systems and presents a new algorithm designed to rapidly detect root causes of anomalies in such systems. When root causes are not causally related, the method is proven to be correct; while an extension is proposed based...
[ { "created": "Fri, 9 Feb 2024 16:10:19 GMT", "version": "v1" }, { "created": "Mon, 29 Jul 2024 13:13:30 GMT", "version": "v2" } ]
2024-07-30
[ [ "Zan", "Lei", "" ], [ "Assaad", "Charles K.", "" ], [ "Devijver", "Emilie", "" ], [ "Gaussier", "Eric", "" ], [ "Aït-Bachir", "Ali", "" ] ]
This paper introduces a new structural causal model tailored for representing threshold-based IT systems and presents a new algorithm designed to rapidly detect root causes of anomalies in such systems. When root causes are not causally related, the method is proven to be correct; while an extension is proposed based o...
2205.13764
Chunhua Shen
Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
Accepted to: Proc. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022. 14 pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a simple yet effective fully convolutional one-stage 3D object detector for LiDAR point clouds of autonomous driving scenes, termed FCOS-LiDAR. Unlike the dominant methods that use the bird-eye view (BEV), our proposed detector detects objects from the range view (RV, a.k.a. range image) of the LiDAR point...
[ { "created": "Fri, 27 May 2022 05:42:16 GMT", "version": "v1" }, { "created": "Tue, 20 Sep 2022 03:06:12 GMT", "version": "v2" } ]
2022-09-21
[ [ "Tian", "Zhi", "" ], [ "Chu", "Xiangxiang", "" ], [ "Wang", "Xiaoming", "" ], [ "Wei", "Xiaolin", "" ], [ "Shen", "Chunhua", "" ] ]
We present a simple yet effective fully convolutional one-stage 3D object detector for LiDAR point clouds of autonomous driving scenes, termed FCOS-LiDAR. Unlike the dominant methods that use the bird-eye view (BEV), our proposed detector detects objects from the range view (RV, a.k.a. range image) of the LiDAR points....
2306.04274
Richard Blythman
Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Sm\'ekal, Hithesh Shaji
Decentralized Technologies for AI Hubs
arXiv admin note: substantial text overlap with arXiv:2210.16651
2022 Conference on Neural Information Processing Systems Workshops
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, existing implementations are associated with certain benefits and limitations that stem from the underlying infrastructure and governance syst...
[ { "created": "Wed, 7 Jun 2023 09:18:56 GMT", "version": "v1" } ]
2023-06-08
[ [ "Blythman", "Richard", "" ], [ "Arshath", "Mohamed", "" ], [ "Vivona", "Salvatore", "" ], [ "Smékal", "Jakub", "" ], [ "Shaji", "Hithesh", "" ] ]
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, existing implementations are associated with certain benefits and limitations that stem from the underlying infrastructure and governance system...
1904.02809
Xuanrui Qi
Reynald Affeldt, Jacques Garrigue, Xuanrui Qi, Kazunari Tanaka
Proving tree algorithms for succinct data structures
Accepted to the 10th International Conference on Interactive Theorem Proving (ITP 2019)
null
null
null
cs.PL cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Succinct data structures give space-efficient representations of large amounts of data without sacrificing performance. They rely one cleverly designed data representations and algorithms. We present here the formalization in Coq/SSReflect of two different tree-based succinct representations and their accompanying al...
[ { "created": "Thu, 4 Apr 2019 22:20:12 GMT", "version": "v1" }, { "created": "Tue, 2 Jul 2019 09:49:48 GMT", "version": "v2" } ]
2019-07-03
[ [ "Affeldt", "Reynald", "" ], [ "Garrigue", "Jacques", "" ], [ "Qi", "Xuanrui", "" ], [ "Tanaka", "Kazunari", "" ] ]
Succinct data structures give space-efficient representations of large amounts of data without sacrificing performance. They rely one cleverly designed data representations and algorithms. We present here the formalization in Coq/SSReflect of two different tree-based succinct representations and their accompanying algo...
2303.12048
Etai Sella
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
Vox-E: Text-guided Voxel Editing of 3D Objects
ICCV 2023. Project webpage: https://tau-vailab.github.io/Vox-E/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual concepts. This generative power has more recently been leveraged to perform text-to-3D synthesis. In this work, we present a technique that harnesses the power of l...
[ { "created": "Tue, 21 Mar 2023 17:36:36 GMT", "version": "v1" }, { "created": "Mon, 21 Aug 2023 13:45:55 GMT", "version": "v2" }, { "created": "Tue, 19 Sep 2023 05:41:59 GMT", "version": "v3" } ]
2023-09-20
[ [ "Sella", "Etai", "" ], [ "Fiebelman", "Gal", "" ], [ "Hedman", "Peter", "" ], [ "Averbuch-Elor", "Hadar", "" ] ]
Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual concepts. This generative power has more recently been leveraged to perform text-to-3D synthesis. In this work, we present a technique that harnesses the power of lat...
2211.04402
Vaclav Skala
Vaclav Skala
Summation Problem Revisited -- More Robust Computation
9 pages, 3 Figs, 3 Tabs. Presented at Recent Advances in Computer Science Conf, 2013
null
null
null
cs.DS cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
Numerical data processing is a key task across different fields of computer technology use. However, even simple summation of values is not precise due to the floating point representation use. This paper presents a practical algorithm for summation of values convenient for medium and large data sets. The proposed al...
[ { "created": "Tue, 8 Nov 2022 17:45:06 GMT", "version": "v1" } ]
2022-11-09
[ [ "Skala", "Vaclav", "" ] ]
Numerical data processing is a key task across different fields of computer technology use. However, even simple summation of values is not precise due to the floating point representation use. This paper presents a practical algorithm for summation of values convenient for medium and large data sets. The proposed algo...
1605.03651
Dinh Hoa Nguyen
Dinh Hoa Nguyen
Minimum-Rank Dynamic Output Consensus Design for Heterogeneous Nonlinear Multi-Agent Systems
Revised version submitted to IEEE Transactions on Control of Network Systems
null
10.1109/TCNS.2016.2580908
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a new and systematic design framework for output consensus in heterogeneous Multi-Input Multi-Output (MIMO) general nonlinear Multi-Agent Systems (MASs) subjected to directed communication topology. First, the input-output feedback linearization method is utilized assuming that the internal ...
[ { "created": "Thu, 12 May 2016 01:53:27 GMT", "version": "v1" } ]
2016-11-15
[ [ "Nguyen", "Dinh Hoa", "" ] ]
In this paper, we propose a new and systematic design framework for output consensus in heterogeneous Multi-Input Multi-Output (MIMO) general nonlinear Multi-Agent Systems (MASs) subjected to directed communication topology. First, the input-output feedback linearization method is utilized assuming that the internal dy...