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cs/0610051
Philippe Trebuchet
Mohab Safey El Din (INRIA Rocquencourt), Philippe Trebuchet (INRIA Rocquencourt)
Strong bi-homogeneous B\'{e}zout theorem and its use in effective real algebraic geometry
null
null
null
null
cs.SC
null
Let f1, ..., fs be a polynomial family in Q[X1,..., Xn] (with s less than n) of degree bounded by D. Suppose that f1, ..., fs generates a radical ideal, and defines a smooth algebraic variety V. Consider a projection P. We prove that the degree of the critical locus of P restricted to V is bounded by D^s(D-1)^(n-s) t...
[ { "created": "Tue, 10 Oct 2006 15:02:07 GMT", "version": "v1" }, { "created": "Fri, 20 Oct 2006 15:16:19 GMT", "version": "v2" } ]
2007-05-23
[ [ "Din", "Mohab Safey El", "", "INRIA Rocquencourt" ], [ "Trebuchet", "Philippe", "", "INRIA\n Rocquencourt" ] ]
Let f1, ..., fs be a polynomial family in Q[X1,..., Xn] (with s less than n) of degree bounded by D. Suppose that f1, ..., fs generates a radical ideal, and defines a smooth algebraic variety V. Consider a projection P. We prove that the degree of the critical locus of P restricted to V is bounded by D^s(D-1)^(n-s) tim...
1911.09789
Zhiwei Wang
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
Learning Multi-level Dependencies for Robust Word Recognition
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken with the presence of noises. In this paper, we introduce a robust word recognition framework that captures multi-level sequential depende...
[ { "created": "Fri, 22 Nov 2019 00:04:07 GMT", "version": "v1" } ]
2019-11-25
[ [ "Wang", "Zhiwei", "" ], [ "Liu", "Hui", "" ], [ "Tang", "Jiliang", "" ], [ "Yang", "Songfan", "" ], [ "Huang", "Gale Yan", "" ], [ "Liu", "Zitao", "" ] ]
Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken with the presence of noises. In this paper, we introduce a robust word recognition framework that captures multi-level sequential dependenc...
2203.16810
L.A. Prashanth
Dipayan Sen, L.A. Prashanth and Aditya Gopalan
Adaptive Estimation of Random Vectors with Bandit Feedback: A mean-squared error viewpoint
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of sequentially learning to estimate, in the mean squared error (MSE) sense, a Gaussian $K$-vector of unknown covariance by observing only $m < K$ of its entries in each round. We first establish a concentration bound for MSE estimation. We then frame the estimation problem with bandit feedbac...
[ { "created": "Thu, 31 Mar 2022 05:33:32 GMT", "version": "v1" }, { "created": "Fri, 1 Apr 2022 06:50:59 GMT", "version": "v2" }, { "created": "Thu, 11 Jan 2024 05:44:18 GMT", "version": "v3" } ]
2024-01-12
[ [ "Sen", "Dipayan", "" ], [ "Prashanth", "L. A.", "" ], [ "Gopalan", "Aditya", "" ] ]
We consider the problem of sequentially learning to estimate, in the mean squared error (MSE) sense, a Gaussian $K$-vector of unknown covariance by observing only $m < K$ of its entries in each round. We first establish a concentration bound for MSE estimation. We then frame the estimation problem with bandit feedback,...
2207.10172
Guodong Wang
Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Accepted by ECCV'2022; Code is available at https://github.com/gdwang08/Jigsaw-VAD
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated by the recent advances in self-supervised learning, this paper addresses VAD by solving an intuitive yet challenging pretext task, i.e., spatio-temporal jigsaw puzzles, which is cast as a multi-label fine-grained classification problem....
[ { "created": "Wed, 20 Jul 2022 19:49:32 GMT", "version": "v1" }, { "created": "Fri, 22 Jul 2022 03:28:41 GMT", "version": "v2" } ]
2022-07-25
[ [ "Wang", "Guodong", "" ], [ "Wang", "Yunhong", "" ], [ "Qin", "Jie", "" ], [ "Zhang", "Dongming", "" ], [ "Bao", "Xiuguo", "" ], [ "Huang", "Di", "" ] ]
Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated by the recent advances in self-supervised learning, this paper addresses VAD by solving an intuitive yet challenging pretext task, i.e., spatio-temporal jigsaw puzzles, which is cast as a multi-label fine-grained classification problem. O...
1803.04357
Cem Subakan
Cem Subakan, Oluwasanmi Koyejo, Paris Smaragdis
Learning the Base Distribution in Implicit Generative Models
null
null
null
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple distributions such as isotropic Gaussian. In this paper, we argue that learning a complicated distribution over the latent space of an auto-en...
[ { "created": "Mon, 12 Mar 2018 16:24:33 GMT", "version": "v1" }, { "created": "Tue, 13 Mar 2018 22:40:35 GMT", "version": "v2" } ]
2018-03-15
[ [ "Subakan", "Cem", "" ], [ "Koyejo", "Oluwasanmi", "" ], [ "Smaragdis", "Paris", "" ] ]
Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple distributions such as isotropic Gaussian. In this paper, we argue that learning a complicated distribution over the latent space of an auto-enco...
2407.08106
Neng Wang
Neng Wang, Xieyuanli Chen, Chenghao Shi, Zhiqiang Zheng, Hongshan Yu, Huimin Lu
SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
8 pages, 4 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estimates the 6-DoF pose to correct odometry drift. Current methods mostly focus on ...
[ { "created": "Thu, 11 Jul 2024 00:45:04 GMT", "version": "v1" } ]
2024-07-12
[ [ "Wang", "Neng", "" ], [ "Chen", "Xieyuanli", "" ], [ "Shi", "Chenghao", "" ], [ "Zheng", "Zhiqiang", "" ], [ "Yu", "Hongshan", "" ], [ "Lu", "Huimin", "" ] ]
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estimates the 6-DoF pose to correct odometry drift. Current methods mostly focus on de...
1808.01337
Vignesh Ganapathi-Subramanian
Vignesh Ganapathi-Subramanian, Olga Diamanti, Soeren Pirk, Chengcheng Tang, Matthias Niessner, Leonidas J. Guibas
Parsing Geometry Using Structure-Aware Shape Templates
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality. Structure typically appears in the form of individual parts and their arrangement. Knowing about object structure can be an important cue for object recognition and sc...
[ { "created": "Fri, 3 Aug 2018 20:14:58 GMT", "version": "v1" }, { "created": "Wed, 5 Sep 2018 02:40:46 GMT", "version": "v2" } ]
2018-09-06
[ [ "Ganapathi-Subramanian", "Vignesh", "" ], [ "Diamanti", "Olga", "" ], [ "Pirk", "Soeren", "" ], [ "Tang", "Chengcheng", "" ], [ "Niessner", "Matthias", "" ], [ "Guibas", "Leonidas J.", "" ] ]
Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality. Structure typically appears in the form of individual parts and their arrangement. Knowing about object structure can be an important cue for object recognition and scen...
2212.11342
Olawale Salaudeen
Olawale Salaudeen, Oluwasanmi Koyejo
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a Target Conditioned Representation Independence (TCRI) objective for domain generalization. TCRI addresses the limitations of existing domain generalization methods due to incomplete constraints. Specifically, TCRI implements regularizers motivated by conditional independence constraints that are sufficie...
[ { "created": "Wed, 21 Dec 2022 20:24:45 GMT", "version": "v1" } ]
2022-12-26
[ [ "Salaudeen", "Olawale", "" ], [ "Koyejo", "Oluwasanmi", "" ] ]
We propose a Target Conditioned Representation Independence (TCRI) objective for domain generalization. TCRI addresses the limitations of existing domain generalization methods due to incomplete constraints. Specifically, TCRI implements regularizers motivated by conditional independence constraints that are sufficient...
1808.10658
Ran Duan
Ran Duan, Kaifeng Lyu, Hongxun Wu and Yuanhang Xie
Single-Source Bottleneck Path Algorithm Faster than Sorting for Sparse Graphs
15 pages, improved version of the paper appeared in ICALP 2018
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a directed graph $G=(V,E)$ with a capacity on every edge, a \emph{bottleneck path} (or \emph{widest path}) between two vertices is a path maximizing the minimum capacity of edges in the path. For the single-source all-destination version of this problem in directed graphs, the previous best algorithm runs in $O(m+...
[ { "created": "Fri, 31 Aug 2018 10:09:44 GMT", "version": "v1" } ]
2018-09-03
[ [ "Duan", "Ran", "" ], [ "Lyu", "Kaifeng", "" ], [ "Wu", "Hongxun", "" ], [ "Xie", "Yuanhang", "" ] ]
In a directed graph $G=(V,E)$ with a capacity on every edge, a \emph{bottleneck path} (or \emph{widest path}) between two vertices is a path maximizing the minimum capacity of edges in the path. For the single-source all-destination version of this problem in directed graphs, the previous best algorithm runs in $O(m+n\...
2401.07167
Avijit Mandal
Avijit Mandal, S. Brandsen, and Henry D. Pfister
Polar Codes for CQ Channels: Decoding via Belief-Propagation with Quantum Messages
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This paper considers the design and decoding of polar codes for general classical-quantum (CQ) channels. It focuses on decoding via belief-propagation with quantum messages (BPQM) and, in particular, the idea of paired-measurement BPQM (PM-BPQM) decoding. Since the PM-BPQM decoder admits a classical density evolution...
[ { "created": "Sat, 13 Jan 2024 22:31:50 GMT", "version": "v1" } ]
2024-01-17
[ [ "Mandal", "Avijit", "" ], [ "Brandsen", "S.", "" ], [ "Pfister", "Henry D.", "" ] ]
This paper considers the design and decoding of polar codes for general classical-quantum (CQ) channels. It focuses on decoding via belief-propagation with quantum messages (BPQM) and, in particular, the idea of paired-measurement BPQM (PM-BPQM) decoding. Since the PM-BPQM decoder admits a classical density evolution (...
2405.19757
Sungchul Hong
Sungchul Hong, Seunghwan An, Jong-June Jeon
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fail to achieve notable performance for class imbalance data compared to the conventional model, Synthetic Minority Oversampling Technique (...
[ { "created": "Thu, 30 May 2024 07:06:02 GMT", "version": "v1" }, { "created": "Wed, 14 Aug 2024 06:26:27 GMT", "version": "v2" } ]
2024-08-15
[ [ "Hong", "Sungchul", "" ], [ "An", "Seunghwan", "" ], [ "Jeon", "Jong-June", "" ] ]
Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fail to achieve notable performance for class imbalance data compared to the conventional model, Synthetic Minority Oversampling Technique (SM...
2312.13528
Jongmin Park
Minh-Quan Viet Bui, Jongmin Park, Jihyong Oh, Munchurl Kim
DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video
The first two authors contributed equally to this work (equal contribution). The last two authors advised equally to this work. Please visit our project page at https://kaist-viclab.github.io/dyblurf-site/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Neural Radiance Fields (NeRF), initially developed for static scenes, have inspired many video novel view synthesis techniques. However, the challenge for video view synthesis arises from motion blur, a consequence of object or camera movement during exposure, which hinders the precise synthesis of sharp spatio-tempo...
[ { "created": "Thu, 21 Dec 2023 02:01:19 GMT", "version": "v1" }, { "created": "Fri, 29 Mar 2024 05:57:33 GMT", "version": "v2" } ]
2024-04-01
[ [ "Bui", "Minh-Quan Viet", "" ], [ "Park", "Jongmin", "" ], [ "Oh", "Jihyong", "" ], [ "Kim", "Munchurl", "" ] ]
Neural Radiance Fields (NeRF), initially developed for static scenes, have inspired many video novel view synthesis techniques. However, the challenge for video view synthesis arises from motion blur, a consequence of object or camera movement during exposure, which hinders the precise synthesis of sharp spatio-tempora...
1507.04039
Pascal Potvin
Pascal Potvin, Hanen Garcia Gamardo, Kim-Khoa Nguyen and Mohamed Cheriet
Hyper Heterogeneous Cloud-based IMS Software Architecture: A Proof-of-Concept and Empirical Analysis
12 pages, 9 figures, 1 table. Accepted for oral presentation at S2CT 2015 in Toronto. Latest Version is Camera Ready
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The IP Multimedia Subsystem (IMS) defined by the 3GPP has been mainly developed and deployed by telephony vendors on vendor-specific hardware. Recent advances in Network Function Virtualisation (NFV) technology paved the way for virtualized hardware and telephony function elasticity. As such, Telecom vendors have sta...
[ { "created": "Tue, 14 Jul 2015 22:27:16 GMT", "version": "v1" }, { "created": "Fri, 18 Sep 2015 15:34:21 GMT", "version": "v2" } ]
2015-09-21
[ [ "Potvin", "Pascal", "" ], [ "Gamardo", "Hanen Garcia", "" ], [ "Nguyen", "Kim-Khoa", "" ], [ "Cheriet", "Mohamed", "" ] ]
The IP Multimedia Subsystem (IMS) defined by the 3GPP has been mainly developed and deployed by telephony vendors on vendor-specific hardware. Recent advances in Network Function Virtualisation (NFV) technology paved the way for virtualized hardware and telephony function elasticity. As such, Telecom vendors have start...
2401.16974
Andreas Sauter
Andreas W.M. Sauter, Nicol\`o Botteghi, Erman Acar, Aske Plaat
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
To be published In Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), Auckland, New Zealand, May 6 - 10, 2024, IFAAMAS
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Causal discovery is the challenging task of inferring causal structure from data. Motivated by Pearl's Causal Hierarchy (PCH), which tells us that passive observations alone are not enough to distinguish correlation from causation, there has been a recent push to incorporate interventions into machine learning resear...
[ { "created": "Tue, 30 Jan 2024 12:57:52 GMT", "version": "v1" } ]
2024-01-31
[ [ "Sauter", "Andreas W. M.", "" ], [ "Botteghi", "Nicolò", "" ], [ "Acar", "Erman", "" ], [ "Plaat", "Aske", "" ] ]
Causal discovery is the challenging task of inferring causal structure from data. Motivated by Pearl's Causal Hierarchy (PCH), which tells us that passive observations alone are not enough to distinguish correlation from causation, there has been a recent push to incorporate interventions into machine learning research...
2110.15253
Kyle Aitken
Kyle Aitken, Vinay V Ramasesh, Yuan Cao, Niru Maheswaranathan
Understanding How Encoder-Decoder Architectures Attend
10+14 pages, 16 figures. NeurIPS 2021
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Encoder-decoder networks with attention have proven to be a powerful way to solve many sequence-to-sequence tasks. In these networks, attention aligns encoder and decoder states and is often used for visualizing network behavior. However, the mechanisms used by networks to generate appropriate attention matrices are ...
[ { "created": "Thu, 28 Oct 2021 16:11:27 GMT", "version": "v1" } ]
2021-10-29
[ [ "Aitken", "Kyle", "" ], [ "Ramasesh", "Vinay V", "" ], [ "Cao", "Yuan", "" ], [ "Maheswaranathan", "Niru", "" ] ]
Encoder-decoder networks with attention have proven to be a powerful way to solve many sequence-to-sequence tasks. In these networks, attention aligns encoder and decoder states and is often used for visualizing network behavior. However, the mechanisms used by networks to generate appropriate attention matrices are st...
2003.08515
Fanbo Xiang
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
SAPIEN: A SimulAted Part-based Interactive ENvironment
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building home assistant robots has long been a pursuit for vision and robotics researchers. To achieve this task, a simulated environment with physically realistic simulation, sufficient articulated objects, and transferability to the real robot is indispensable. Existing environments achieve these requirements for r...
[ { "created": "Thu, 19 Mar 2020 00:11:34 GMT", "version": "v1" } ]
2020-03-20
[ [ "Xiang", "Fanbo", "" ], [ "Qin", "Yuzhe", "" ], [ "Mo", "Kaichun", "" ], [ "Xia", "Yikuan", "" ], [ "Zhu", "Hao", "" ], [ "Liu", "Fangchen", "" ], [ "Liu", "Minghua", "" ], [ "Jiang", "Hanxiao",...
Building home assistant robots has long been a pursuit for vision and robotics researchers. To achieve this task, a simulated environment with physically realistic simulation, sufficient articulated objects, and transferability to the real robot is indispensable. Existing environments achieve these requirements for rob...
2210.06313
Chong You
Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix Yu, Ruiqi Guo, Sanjiv Kumar
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
A short version was presented at ICLR 2023. Previous title: Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
null
null
null
cs.LG cs.CL cs.CV stat.ML
http://creativecommons.org/licenses/by/4.0/
This paper studies the curious phenomenon for machine learning models with Transformer architectures that their activation maps are sparse. By activation map we refer to the intermediate output of the multi-layer perceptrons (MLPs) after a ReLU activation function, and by sparse we mean that on average very few entri...
[ { "created": "Wed, 12 Oct 2022 15:25:19 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 21:53:43 GMT", "version": "v2" } ]
2023-06-13
[ [ "Li", "Zonglin", "" ], [ "You", "Chong", "" ], [ "Bhojanapalli", "Srinadh", "" ], [ "Li", "Daliang", "" ], [ "Rawat", "Ankit Singh", "" ], [ "Reddi", "Sashank J.", "" ], [ "Ye", "Ke", "" ], [ "Chern...
This paper studies the curious phenomenon for machine learning models with Transformer architectures that their activation maps are sparse. By activation map we refer to the intermediate output of the multi-layer perceptrons (MLPs) after a ReLU activation function, and by sparse we mean that on average very few entries...
1806.00908
Gui-Song Xia
Jin Huang, Gui-Song Xia, Fan Hu, Liangpei Zhang
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
IGRASS'18 conference paper
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper aims to address the problem of detecting buildings from remote sensing images with very high resolution (VHR). Inspired by the observation that buildings are always more distinguishable in geometries than in texture or spectral, we propose a new geometric building index (GBI) for accurate building detectio...
[ { "created": "Mon, 4 Jun 2018 01:02:22 GMT", "version": "v1" }, { "created": "Sun, 10 Jun 2018 01:38:45 GMT", "version": "v2" } ]
2018-06-12
[ [ "Huang", "Jin", "" ], [ "Xia", "Gui-Song", "" ], [ "Hu", "Fan", "" ], [ "Zhang", "Liangpei", "" ] ]
This paper aims to address the problem of detecting buildings from remote sensing images with very high resolution (VHR). Inspired by the observation that buildings are always more distinguishable in geometries than in texture or spectral, we propose a new geometric building index (GBI) for accurate building detection,...
1808.00313
Xinyu Huang
Qichuan Geng and Xinyu Huang and Zhong Zhou and Ruigang Yang
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation
18 pages, 9 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Confusing classes that are ubiquitous in real world often degrade performance for many vision related applications like object detection, classification, and segmentation. The confusion errors are not only caused by similar visual patterns but also amplified by various factors during the training of our designed mode...
[ { "created": "Wed, 1 Aug 2018 13:37:59 GMT", "version": "v1" } ]
2018-08-02
[ [ "Geng", "Qichuan", "" ], [ "Huang", "Xinyu", "" ], [ "Zhou", "Zhong", "" ], [ "Yang", "Ruigang", "" ] ]
Confusing classes that are ubiquitous in real world often degrade performance for many vision related applications like object detection, classification, and segmentation. The confusion errors are not only caused by similar visual patterns but also amplified by various factors during the training of our designed models...
1705.03172
Jialong Han
Xin Zheng, Jialong Han, Aixin Sun
A Survey of Location Prediction on Twitter
Accepted to TKDE. 30 pages, 1 figure
null
10.1109/TKDE.2018.2807840
null
cs.SI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades. As one of the most popular online social network platforms, Twitter has at...
[ { "created": "Tue, 9 May 2017 04:14:57 GMT", "version": "v1" }, { "created": "Sat, 24 Feb 2018 08:29:45 GMT", "version": "v2" } ]
2018-07-17
[ [ "Zheng", "Xin", "" ], [ "Han", "Jialong", "" ], [ "Sun", "Aixin", "" ] ]
Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades. As one of the most popular online social network platforms, Twitter has attr...
1005.3182
Isabel Rodet
Nicolas Castagn\'e (ACROE), Claude Cadoz (ACROE, ICA), Jean-Loup Florens (ACROE), Annie Luciani (ACROE, ICA)
Haptics in computer music : a paradigm shift
Document accompagn\'e du poster
EuroHaptics 2004, Munich : Germany (2004)
null
null
cs.HC cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With an historical point of view combined with a bibliographic overview, the article discusses the idea that haptic force feedback transducers correspond with a paradigm shift in our real-time tools for creating music. So doing, il shows that computer music may be regarded as a major field of research and application...
[ { "created": "Tue, 18 May 2010 13:03:47 GMT", "version": "v1" }, { "created": "Mon, 7 Jun 2010 07:43:43 GMT", "version": "v2" } ]
2010-06-08
[ [ "Castagné", "Nicolas", "", "ACROE" ], [ "Cadoz", "Claude", "", "ACROE, ICA" ], [ "Florens", "Jean-Loup", "", "ACROE" ], [ "Luciani", "Annie", "", "ACROE, ICA" ] ]
With an historical point of view combined with a bibliographic overview, the article discusses the idea that haptic force feedback transducers correspond with a paradigm shift in our real-time tools for creating music. So doing, il shows that computer music may be regarded as a major field of research and application f...
1810.01017
Nalin Asanka Gamagedara Arachchilage
Chamila Wijayarathna and Nalin Asanka Gamagedara Arachchilage
Fighting Against XSS Attacks: A Usability Evaluation of OWASP ESAPI Output Encoding
10
The 52nd Hawaii International Conference on System Sciences (HICSS), 2019
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross Site Scripting (XSS) is one of the most critical vulnerabilities exist in web applications. XSS can be prevented by encoding untrusted data that are loaded into browser content of web applications. Security Application Programming Interfaces (APIs) such as OWASP ESAPI provide output encoding functionalities for...
[ { "created": "Mon, 1 Oct 2018 23:57:58 GMT", "version": "v1" } ]
2018-10-03
[ [ "Wijayarathna", "Chamila", "" ], [ "Arachchilage", "Nalin Asanka Gamagedara", "" ] ]
Cross Site Scripting (XSS) is one of the most critical vulnerabilities exist in web applications. XSS can be prevented by encoding untrusted data that are loaded into browser content of web applications. Security Application Programming Interfaces (APIs) such as OWASP ESAPI provide output encoding functionalities for p...
2111.14595
Semih G\"unel
Semih G\"unel and Florian Aymanns and Sina Honari and Pavan Ramdya and Pascal Fua
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations
Accepted into NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
A fundamental goal in neuroscience is to understand the relationship between neural activity and behavior. For example, the ability to extract behavioral intentions from neural data, or neural decoding, is critical for developing effective brain machine interfaces. Although simple linear models have been applied to t...
[ { "created": "Mon, 29 Nov 2021 15:27:51 GMT", "version": "v1" } ]
2021-11-30
[ [ "Günel", "Semih", "" ], [ "Aymanns", "Florian", "" ], [ "Honari", "Sina", "" ], [ "Ramdya", "Pavan", "" ], [ "Fua", "Pascal", "" ] ]
A fundamental goal in neuroscience is to understand the relationship between neural activity and behavior. For example, the ability to extract behavioral intentions from neural data, or neural decoding, is critical for developing effective brain machine interfaces. Although simple linear models have been applied to thi...
1007.3961
Pablo Chico de Guzman Huerta
Pablo Chico de Guzman, Manuel Carro and David S. Warren
Swapping Evaluation: A Memory-Scalable Solution for Answer-On-Demand Tabling
16 pages, 5 figures, published in TPLP 2010
Swapping Evaluation in TPLP, volume 10, number 4-6, year 2010, pages 401-416
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the differences among the various approaches to suspension-based tabled evaluation is the scheduling strategy. The two most popular strategies are local and batched evaluation. The former collects all the solutions to a tabled predicate before making any one of them available outside the tabled computation. ...
[ { "created": "Thu, 22 Jul 2010 18:26:48 GMT", "version": "v1" } ]
2010-07-23
[ [ "de Guzman", "Pablo Chico", "" ], [ "Carro", "Manuel", "" ], [ "Warren", "David S.", "" ] ]
One of the differences among the various approaches to suspension-based tabled evaluation is the scheduling strategy. The two most popular strategies are local and batched evaluation. The former collects all the solutions to a tabled predicate before making any one of them available outside the tabled computation. The ...
2008.06738
Brahma Pavse
Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
Reducing Sampling Error in Batch Temporal Difference Learning
Accepted to International Conference on Machine Learning (ICML) 2020
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Temporal difference (TD) learning is one of the main foundations of modern reinforcement learning. This paper studies the use of TD(0), a canonical TD algorithm, to estimate the value function of a given policy from a batch of data. In this batch setting, we show that TD(0) may converge to an inaccurate value functio...
[ { "created": "Sat, 15 Aug 2020 15:30:06 GMT", "version": "v1" } ]
2020-08-18
[ [ "Pavse", "Brahma", "" ], [ "Durugkar", "Ishan", "" ], [ "Hanna", "Josiah", "" ], [ "Stone", "Peter", "" ] ]
Temporal difference (TD) learning is one of the main foundations of modern reinforcement learning. This paper studies the use of TD(0), a canonical TD algorithm, to estimate the value function of a given policy from a batch of data. In this batch setting, we show that TD(0) may converge to an inaccurate value function ...
2109.12714
Ramakrishnan Sundareswaran
Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Jannesari
Cluster Analysis with Deep Embeddings and Contrastive Learning
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Unsupervised disentangled representation learning is a long-standing problem in computer vision. This work proposes a novel framework for performing image clustering from deep embeddings by combining instance-level contrastive learning with a deep embedding based cluster center predictor. Our approach jointly learns ...
[ { "created": "Sun, 26 Sep 2021 22:18:15 GMT", "version": "v1" }, { "created": "Sat, 2 Oct 2021 17:15:31 GMT", "version": "v2" } ]
2021-10-05
[ [ "Sundareswaran", "Ramakrishnan", "" ], [ "Herrera-Gerena", "Jansel", "" ], [ "Just", "John", "" ], [ "Jannesari", "Ali", "" ] ]
Unsupervised disentangled representation learning is a long-standing problem in computer vision. This work proposes a novel framework for performing image clustering from deep embeddings by combining instance-level contrastive learning with a deep embedding based cluster center predictor. Our approach jointly learns re...
2107.12108
Lars Moormann
J. van Hegelsom, J.M. van de Mortel-Fronczak, L. Moormann, D.A. van Beek, J.E. Rooda
Development of a 3D Digital Twin of the Swalmen Tunnel in the Rijkswaterstaat Project
null
null
null
null
cs.HC cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an ongoing project, a cooperation between the TU/e and the Dutch Department of Waterways and Public Works (Rijkswaterstaat in Dutch, abbreviated to RWS) is established. The project focuses on investigating applicability of synthesis-based engineering in the design of supervisory controllers for bridges, waterways ...
[ { "created": "Mon, 26 Jul 2021 11:03:16 GMT", "version": "v1" }, { "created": "Tue, 15 Feb 2022 10:19:52 GMT", "version": "v2" } ]
2022-02-16
[ [ "van Hegelsom", "J.", "" ], [ "van de Mortel-Fronczak", "J. M.", "" ], [ "Moormann", "L.", "" ], [ "van Beek", "D. A.", "" ], [ "Rooda", "J. E.", "" ] ]
In an ongoing project, a cooperation between the TU/e and the Dutch Department of Waterways and Public Works (Rijkswaterstaat in Dutch, abbreviated to RWS) is established. The project focuses on investigating applicability of synthesis-based engineering in the design of supervisory controllers for bridges, waterways an...
1704.07398
Yevgeni Berzak
Yevgeni Berzak, Chie Nakamura, Suzanne Flynn and Boris Katz
Predicting Native Language from Gaze
ACL 2017
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental question in language learning concerns the role of a speaker's first language in second language acquisition. We present a novel methodology for studying this question: analysis of eye-movement patterns in second language reading of free-form text. Using this methodology, we demonstrate for the first ti...
[ { "created": "Mon, 24 Apr 2017 18:04:17 GMT", "version": "v1" }, { "created": "Tue, 2 May 2017 21:40:35 GMT", "version": "v2" } ]
2017-05-04
[ [ "Berzak", "Yevgeni", "" ], [ "Nakamura", "Chie", "" ], [ "Flynn", "Suzanne", "" ], [ "Katz", "Boris", "" ] ]
A fundamental question in language learning concerns the role of a speaker's first language in second language acquisition. We present a novel methodology for studying this question: analysis of eye-movement patterns in second language reading of free-form text. Using this methodology, we demonstrate for the first time...
2307.02040
Zhaomin Wu
Zhaomin Wu, Junyi Hou, Bingsheng He
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
null
The Twelfth International Conference on Learning Representations (ICLR 2024)
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Vertical Federated Learning (VFL) is a crucial paradigm for training machine learning models on feature-partitioned, distributed data. However, due to privacy restrictions, few public real-world VFL datasets exist for algorithm evaluation, and these represent a limited array of feature distributions. Existing benchma...
[ { "created": "Wed, 5 Jul 2023 05:55:08 GMT", "version": "v1" }, { "created": "Wed, 17 Jan 2024 07:54:46 GMT", "version": "v2" }, { "created": "Wed, 13 Mar 2024 08:06:37 GMT", "version": "v3" } ]
2024-03-14
[ [ "Wu", "Zhaomin", "" ], [ "Hou", "Junyi", "" ], [ "He", "Bingsheng", "" ] ]
Vertical Federated Learning (VFL) is a crucial paradigm for training machine learning models on feature-partitioned, distributed data. However, due to privacy restrictions, few public real-world VFL datasets exist for algorithm evaluation, and these represent a limited array of feature distributions. Existing benchmark...
2309.02428
Manal Helal
Manal Helal
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
34 pages, 8 figures, 4 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The burgeoning growth of public domain data and the increasing complexity of deep learning model architectures have underscored the need for more efficient data representation and analysis techniques. This paper is motivated by the work of (Helal, 2023) and aims to present a comprehensive overview of tensorization. T...
[ { "created": "Tue, 5 Sep 2023 17:56:22 GMT", "version": "v1" }, { "created": "Thu, 7 Sep 2023 13:42:57 GMT", "version": "v2" }, { "created": "Mon, 9 Oct 2023 11:14:41 GMT", "version": "v3" } ]
2023-10-10
[ [ "Helal", "Manal", "" ] ]
The burgeoning growth of public domain data and the increasing complexity of deep learning model architectures have underscored the need for more efficient data representation and analysis techniques. This paper is motivated by the work of (Helal, 2023) and aims to present a comprehensive overview of tensorization. Thi...
1910.05784
Dimitrios Kollias
Xia Yicheng and Dimitrios Kollias
Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Emotions play an important role in people's life. Understanding and recognising is not only important for interpersonal communication, but also has promising applications in Human-Computer Interaction, automobile safety and medical research. This project focuses on extending the emotion recognition database, and trai...
[ { "created": "Sun, 13 Oct 2019 16:33:18 GMT", "version": "v1" }, { "created": "Fri, 13 Dec 2019 23:25:57 GMT", "version": "v2" } ]
2019-12-17
[ [ "Yicheng", "Xia", "" ], [ "Kollias", "Dimitrios", "" ] ]
Emotions play an important role in people's life. Understanding and recognising is not only important for interpersonal communication, but also has promising applications in Human-Computer Interaction, automobile safety and medical research. This project focuses on extending the emotion recognition database, and traini...
2209.12823
Anupam Biswas
Thounaojam Chinglemba, Soujanyo Biswas, Debashish Malakar, Vivek Meena, Debojyoti Sarkar, and Anupam Biswas
Introductory Review of Swarm Intelligence Techniques
Submitted to Springer
null
null
null
cs.NE math.OC
http://creativecommons.org/licenses/by/4.0/
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize certain processes, software, models or structures, with utmost accuracy and efficiency. Optimization algorithms are preferred over other methods of optimization through experimentation or simulation, for their generic prob...
[ { "created": "Mon, 26 Sep 2022 16:29:55 GMT", "version": "v1" }, { "created": "Fri, 30 Sep 2022 05:09:10 GMT", "version": "v2" } ]
2022-10-03
[ [ "Chinglemba", "Thounaojam", "" ], [ "Biswas", "Soujanyo", "" ], [ "Malakar", "Debashish", "" ], [ "Meena", "Vivek", "" ], [ "Sarkar", "Debojyoti", "" ], [ "Biswas", "Anupam", "" ] ]
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize certain processes, software, models or structures, with utmost accuracy and efficiency. Optimization algorithms are preferred over other methods of optimization through experimentation or simulation, for their generic proble...
2203.09549
M Rasel Mahmud
Sagor Chandro Bakchy, Md. Rabiul Islam, M. Rasel Mahmud, Faisal Imran
Human Gait Analysis using Gait Energy Image
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security features. Most of the biometric technique uses sequential template based comp...
[ { "created": "Thu, 17 Mar 2022 18:16:46 GMT", "version": "v1" } ]
2022-03-21
[ [ "Bakchy", "Sagor Chandro", "" ], [ "Islam", "Md. Rabiul", "" ], [ "Mahmud", "M. Rasel", "" ], [ "Imran", "Faisal", "" ] ]
Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security features. Most of the biometric technique uses sequential template based compon...
2001.02101
Homayoun Valafar
Chrisogonas O. Odhiambo, Casey A. Cole, Alaleh Torkjazi, Homayoun Valafar
State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks
8 pages, CSCI 2019
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of sensors has pervaded everyday life in several applications including human activity monitoring, healthcare, and social networks. In this study, we focus on the use of smartwatch sensors to recognize smoking activity. More specifically, we have reformulated the previous work in detection of smoking to inclu...
[ { "created": "Tue, 7 Jan 2020 15:06:28 GMT", "version": "v1" } ]
2020-01-08
[ [ "Odhiambo", "Chrisogonas O.", "" ], [ "Cole", "Casey A.", "" ], [ "Torkjazi", "Alaleh", "" ], [ "Valafar", "Homayoun", "" ] ]
The use of sensors has pervaded everyday life in several applications including human activity monitoring, healthcare, and social networks. In this study, we focus on the use of smartwatch sensors to recognize smoking activity. More specifically, we have reformulated the previous work in detection of smoking to include...
2312.12112
Nabeel Seedat
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Presented at the 41st International Conference on Machine Learning (ICML) 2024. *Seedat & Huynh contributed equally
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Machine Learning (ML) in low-data settings remains an underappreciated yet crucial problem. Hence, data augmentation methods to increase the sample size of datasets needed for ML are key to unlocking the transformative potential of ML in data-deprived regions and domains. Unfortunately, the limited training set const...
[ { "created": "Tue, 19 Dec 2023 12:34:46 GMT", "version": "v1" }, { "created": "Wed, 7 Feb 2024 19:00:35 GMT", "version": "v2" }, { "created": "Sun, 30 Jun 2024 12:48:18 GMT", "version": "v3" } ]
2024-07-02
[ [ "Seedat", "Nabeel", "" ], [ "Huynh", "Nicolas", "" ], [ "van Breugel", "Boris", "" ], [ "van der Schaar", "Mihaela", "" ] ]
Machine Learning (ML) in low-data settings remains an underappreciated yet crucial problem. Hence, data augmentation methods to increase the sample size of datasets needed for ML are key to unlocking the transformative potential of ML in data-deprived regions and domains. Unfortunately, the limited training set constra...
2407.04263
Raula Gaikovina Kula Dr
Vittunyuta Maeprasart, Ali Ouni, Raula Gaikovina Kula
Drop it All or Pick it Up? How Developers Responded to the Log4JShell Vulnerability
Accepted to SERA24. arXiv admin note: text overlap with arXiv:2406.11362
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Although using third-party libraries has become prevalent in contemporary software development, developers often struggle to update their dependencies. Prior works acknowledge that due to the migration effort, priority and other issues cause lags in the migration process. The common assumption is that developers shou...
[ { "created": "Fri, 5 Jul 2024 05:33:10 GMT", "version": "v1" } ]
2024-07-08
[ [ "Maeprasart", "Vittunyuta", "" ], [ "Ouni", "Ali", "" ], [ "Kula", "Raula Gaikovina", "" ] ]
Although using third-party libraries has become prevalent in contemporary software development, developers often struggle to update their dependencies. Prior works acknowledge that due to the migration effort, priority and other issues cause lags in the migration process. The common assumption is that developers should...
1609.08097
Rebecca Sharp
Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, and Michael Hammond
Creating Causal Embeddings for Question Answering with Minimal Supervision
To appear in EMNLP 2016
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A common model for question answering (QA) is that a good answer is one that is closely related to the question, where relatedness is often determined using general-purpose lexical models such as word embeddings. We argue that a better approach is to look for answers that are related to the question in a relevant way...
[ { "created": "Mon, 26 Sep 2016 17:50:15 GMT", "version": "v1" } ]
2016-09-27
[ [ "Sharp", "Rebecca", "" ], [ "Surdeanu", "Mihai", "" ], [ "Jansen", "Peter", "" ], [ "Clark", "Peter", "" ], [ "Hammond", "Michael", "" ] ]
A common model for question answering (QA) is that a good answer is one that is closely related to the question, where relatedness is often determined using general-purpose lexical models such as word embeddings. We argue that a better approach is to look for answers that are related to the question in a relevant way, ...
1812.08044
Gabriel Marzinotto
Gabriel Marzinotto (TALEP), G\'eraldine Damnati (FTR\&D), Frederic Bechet (LIF, TALEP)
FrameNet automatic analysis : a study on a French corpus of encyclopedic texts
in French
TALN 2017, 2017, Orl{\'e}ans, France
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents an automatic frame analysis system evaluated on a corpus of French encyclopedic history texts annotated according to the FrameNet formalism. The chosen approach relies on an integrated sequence labeling model which jointly optimizes frame identification and semantic role segmentation and identif...
[ { "created": "Wed, 19 Dec 2018 15:59:31 GMT", "version": "v1" } ]
2018-12-20
[ [ "Marzinotto", "Gabriel", "", "TALEP" ], [ "Damnati", "Géraldine", "", "FTR\\&D" ], [ "Bechet", "Frederic", "", "LIF, TALEP" ] ]
This article presents an automatic frame analysis system evaluated on a corpus of French encyclopedic history texts annotated according to the FrameNet formalism. The chosen approach relies on an integrated sequence labeling model which jointly optimizes frame identification and semantic role segmentation and identific...
2006.01964
Cenek Albl
Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomas Pajdla, Konrad Schindler
From two rolling shutters to one global shutter
CVPR 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling shutter distortion: two cameras mounted to have different rolling shutter direct...
[ { "created": "Tue, 2 Jun 2020 22:18:43 GMT", "version": "v1" } ]
2020-06-04
[ [ "Albl", "Cenek", "" ], [ "Kukelova", "Zuzana", "" ], [ "Larsson", "Viktor", "" ], [ "Pajdla", "Tomas", "" ], [ "Schindler", "Konrad", "" ] ]
Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling shutter distortion: two cameras mounted to have different rolling shutter directio...
2212.05056
Sergi Bray
Sergi D. Bray (1), Shane D. Johnson (1), Bennett Kleinberg (2) ((1) University College London, (2) Tilburg University)
Testing Human Ability To Detect Deepfake Images of Human Faces
null
null
null
null
cs.HC cs.CR cs.CV cs.CY
http://creativecommons.org/licenses/by/4.0/
Deepfakes are computationally-created entities that falsely represent reality. They can take image, video, and audio modalities, and pose a threat to many areas of systems and societies, comprising a topic of interest to various aspects of cybersecurity and cybersafety. In 2020 a workshop consulting AI experts from a...
[ { "created": "Wed, 7 Dec 2022 14:48:25 GMT", "version": "v1" }, { "created": "Wed, 14 Dec 2022 13:53:10 GMT", "version": "v2" }, { "created": "Thu, 25 May 2023 15:07:19 GMT", "version": "v3" } ]
2023-05-26
[ [ "Bray", "Sergi D.", "" ], [ "Johnson", "Shane D.", "" ], [ "Kleinberg", "Bennett", "" ] ]
Deepfakes are computationally-created entities that falsely represent reality. They can take image, video, and audio modalities, and pose a threat to many areas of systems and societies, comprising a topic of interest to various aspects of cybersecurity and cybersafety. In 2020 a workshop consulting AI experts from aca...
1906.00108
Gautham Krishna Gudur
Gautham Krishna Gudur, Prahalathan Sundaramoorthy and Venkatesh Umaashankar
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
6 pages, 5 figures, ACM MobiSys 2019 (3rd International Workshop on Embedded and Mobile Deep Learning - EMDL '19)
null
null
null
cs.LG cs.HC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Various health-care applications such as assisted living, fall detection etc., require modeling of user behavior through Human Activity Recognition (HAR). HAR using mobile- and wearable-based deep learning algorithms have been on the rise owing to the advancements in pervasive computing. However, there are two other ...
[ { "created": "Fri, 31 May 2019 22:28:40 GMT", "version": "v1" } ]
2019-06-04
[ [ "Gudur", "Gautham Krishna", "" ], [ "Sundaramoorthy", "Prahalathan", "" ], [ "Umaashankar", "Venkatesh", "" ] ]
Various health-care applications such as assisted living, fall detection etc., require modeling of user behavior through Human Activity Recognition (HAR). HAR using mobile- and wearable-based deep learning algorithms have been on the rise owing to the advancements in pervasive computing. However, there are two other ch...
1001.3263
Bernd Schuh
Bernd R. Schuh
A Real World Mechanism for Testing Satisfiability in Polynomial Time
null
null
null
null
cs.LO cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whether the satisfiability of any formula F of propositional calculus can be determined in polynomial time is an open question. I propose a simple procedure based on some real world mechanisms to tackle this problem. The main result is the blueprint for a machine which is able to test any formula in conjunctive norma...
[ { "created": "Tue, 19 Jan 2010 11:18:54 GMT", "version": "v1" } ]
2010-01-20
[ [ "Schuh", "Bernd R.", "" ] ]
Whether the satisfiability of any formula F of propositional calculus can be determined in polynomial time is an open question. I propose a simple procedure based on some real world mechanisms to tackle this problem. The main result is the blueprint for a machine which is able to test any formula in conjunctive normal ...
2310.00956
Murdoch Gabbay
Murdoch Gabbay and Giuliano Losa
Semiframes: algebras of heterogeneous consensus
See also arXiv:2303.09287, which takes a point-set approach ("point-set semitopologies"). This update updates the license to CC-BY 4.0
null
null
null
cs.LO math.CT math.GN
http://creativecommons.org/licenses/by/4.0/
Semitopologies model consensus in distributed system by equating the notion of a quorum -- a set of participants sufficient to make local progress -- with that of an open set. This yields a topology-like theory of consensus, but semitopologies generalise topologies, since the intersection of two quorums need not nece...
[ { "created": "Mon, 2 Oct 2023 07:48:55 GMT", "version": "v1" }, { "created": "Wed, 29 May 2024 11:13:27 GMT", "version": "v2" } ]
2024-05-30
[ [ "Gabbay", "Murdoch", "" ], [ "Losa", "Giuliano", "" ] ]
Semitopologies model consensus in distributed system by equating the notion of a quorum -- a set of participants sufficient to make local progress -- with that of an open set. This yields a topology-like theory of consensus, but semitopologies generalise topologies, since the intersection of two quorums need not necess...
2406.10991
Tianhua Zhang
Tianhua Zhang, Kun Li, Hongyin Luo, Xixin Wu, James Glass, Helen Meng
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Query rewriting is a crucial technique for passage retrieval in open-domain conversational question answering (CQA). It decontexualizes conversational queries into self-contained questions suitable for off-the-shelf retrievers. Existing methods attempt to incorporate retriever's preference during the training of rewr...
[ { "created": "Sun, 16 Jun 2024 16:09:05 GMT", "version": "v1" } ]
2024-06-18
[ [ "Zhang", "Tianhua", "" ], [ "Li", "Kun", "" ], [ "Luo", "Hongyin", "" ], [ "Wu", "Xixin", "" ], [ "Glass", "James", "" ], [ "Meng", "Helen", "" ] ]
Query rewriting is a crucial technique for passage retrieval in open-domain conversational question answering (CQA). It decontexualizes conversational queries into self-contained questions suitable for off-the-shelf retrievers. Existing methods attempt to incorporate retriever's preference during the training of rewrit...
1712.08345
EPTCS
Timo Kehrer (Humboldt-University of Berlin), Alice Miller (University of Glasgow)
Proceedings Third Workshop on Graphs as Models
null
EPTCS 263, 2017
10.4204/EPTCS.263
null
cs.LO cs.DC cs.DS cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graphs are used as models in many areas of computer science and computer engineering. For example graphs are used to represent syntax, control and data flow, dependency, state spaces, models such as UML and other types of domain-specific models, and social network graphs. In all of these examples, the graph serves as...
[ { "created": "Fri, 22 Dec 2017 08:48:17 GMT", "version": "v1" } ]
2017-12-25
[ [ "Kehrer", "Timo", "", "Humboldt-University of Berlin" ], [ "Miller", "Alice", "", "University\n of Glasgow" ] ]
Graphs are used as models in many areas of computer science and computer engineering. For example graphs are used to represent syntax, control and data flow, dependency, state spaces, models such as UML and other types of domain-specific models, and social network graphs. In all of these examples, the graph serves as a...
2211.13495
Zeyu Shangguan
Zeyu Shangguan, Lian Huai, Tong Liu, Xingqun Jiang
Few-shot Object Detection with Refined Contrastive Learning
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the scarcity of sampling data in reality, few-shot object detection (FSOD) has drawn more and more attention because of its ability to quickly train new detection concepts with less data. However, there are still failure identifications due to the difficulty in distinguishing confusable classes. We also notice...
[ { "created": "Thu, 24 Nov 2022 09:34:20 GMT", "version": "v1" }, { "created": "Thu, 21 Dec 2023 11:01:09 GMT", "version": "v2" } ]
2023-12-22
[ [ "Shangguan", "Zeyu", "" ], [ "Huai", "Lian", "" ], [ "Liu", "Tong", "" ], [ "Jiang", "Xingqun", "" ] ]
Due to the scarcity of sampling data in reality, few-shot object detection (FSOD) has drawn more and more attention because of its ability to quickly train new detection concepts with less data. However, there are still failure identifications due to the difficulty in distinguishing confusable classes. We also notice t...
2404.17421
Laura Bozzelli
Massimo Benerecetti, Laura Bozzelli, Fabio Mogavero, Adriano Peron
Automata-Theoretic Characterisations of Branching-Time Temporal Logics
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Characterisations theorems serve as important tools in model theory and can be used to assess and compare the expressive power of temporal languages used for the specification and verification of properties in formal methods. While complete connections have been established for the linear-time case between temporal l...
[ { "created": "Fri, 26 Apr 2024 13:58:19 GMT", "version": "v1" }, { "created": "Mon, 29 Apr 2024 02:40:03 GMT", "version": "v2" } ]
2024-04-30
[ [ "Benerecetti", "Massimo", "" ], [ "Bozzelli", "Laura", "" ], [ "Mogavero", "Fabio", "" ], [ "Peron", "Adriano", "" ] ]
Characterisations theorems serve as important tools in model theory and can be used to assess and compare the expressive power of temporal languages used for the specification and verification of properties in formal methods. While complete connections have been established for the linear-time case between temporal log...
2002.06517
Kyungsu Kim
Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Binary Neural Networks (BNNs) have been garnering interest thanks to their compute cost reduction and memory savings. However, BNNs suffer from performance degradation mainly due to the gradient mismatch caused by binarizing activations. Previous works tried to address the gradient mismatch problem by reducing the di...
[ { "created": "Sun, 16 Feb 2020 06:18:53 GMT", "version": "v1" } ]
2020-02-18
[ [ "Kim", "Hyungjun", "" ], [ "Kim", "Kyungsu", "" ], [ "Kim", "Jinseok", "" ], [ "Kim", "Jae-Joon", "" ] ]
Binary Neural Networks (BNNs) have been garnering interest thanks to their compute cost reduction and memory savings. However, BNNs suffer from performance degradation mainly due to the gradient mismatch caused by binarizing activations. Previous works tried to address the gradient mismatch problem by reducing the disc...
2012.03891
Amalie Trewartha
Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin Persson, Gerbrand Ceder
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
null
null
null
null
cs.DL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature on a remarkable scale -- as of October 2020, over 81,000 COVID-19 related scien...
[ { "created": "Mon, 7 Dec 2020 18:17:11 GMT", "version": "v1" } ]
2020-12-08
[ [ "Trewartha", "Amalie", "" ], [ "Dagdelen", "John", "" ], [ "Huo", "Haoyan", "" ], [ "Cruse", "Kevin", "" ], [ "Wang", "Zheren", "" ], [ "He", "Tanjin", "" ], [ "Subramanian", "Akshay", "" ], [ "Fei"...
The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature on a remarkable scale -- as of October 2020, over 81,000 COVID-19 related scienti...
2303.05336
Nicola Rizzo
Nicola Rizzo, Massimo Equi, Tuukka Norri, Veli M\"akinen
Elastic Founder Graphs Improved and Enhanced
47 pages, 10 figures. Extension of conference papers IWOCA 2022 (https://doi.org/10.1007/978-3-031-06678-8_35 , preprint arXiv:2201.06492), CPM 2022 (https://doi.org/10.4230/LIPIcs.CPM.2022.19 ), and of some results from PhD dissertation projects of Massimo Equi (http://urn.fi/URN:ISBN:978-951-51-8217-3 ) and T...
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Indexing labeled graphs for pattern matching is a central challenge of pangenomics. Equi et al. (Algorithmica, 2022) developed the Elastic Founder Graph ($\mathsf{EFG}$) representing an alignment of $m$ sequences of length $n$, drawn from alphabet $\Sigma$ plus the special gap character: the paths spell the original ...
[ { "created": "Thu, 9 Mar 2023 15:31:42 GMT", "version": "v1" } ]
2023-03-10
[ [ "Rizzo", "Nicola", "" ], [ "Equi", "Massimo", "" ], [ "Norri", "Tuukka", "" ], [ "Mäkinen", "Veli", "" ] ]
Indexing labeled graphs for pattern matching is a central challenge of pangenomics. Equi et al. (Algorithmica, 2022) developed the Elastic Founder Graph ($\mathsf{EFG}$) representing an alignment of $m$ sequences of length $n$, drawn from alphabet $\Sigma$ plus the special gap character: the paths spell the original se...
1806.02305
Samuel Kadoury
Marc-Antoine Boucher, Sarah Lippe, Amelie Damphousse, Ramy El-Jalbout, Samuel Kadoury
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultrasound (US) can be used to assess brain development in newborns, as MRI is challenging due to immobilization issues, and may require sedation. Dilatation of the lateral ventricles in the brain is a risk factor for poorer neurodevelopment outcomes in infants. Hence, 3D US has the ability to assess the volume of th...
[ { "created": "Wed, 6 Jun 2018 17:10:06 GMT", "version": "v1" } ]
2018-06-07
[ [ "Boucher", "Marc-Antoine", "" ], [ "Lippe", "Sarah", "" ], [ "Damphousse", "Amelie", "" ], [ "El-Jalbout", "Ramy", "" ], [ "Kadoury", "Samuel", "" ] ]
Ultrasound (US) can be used to assess brain development in newborns, as MRI is challenging due to immobilization issues, and may require sedation. Dilatation of the lateral ventricles in the brain is a risk factor for poorer neurodevelopment outcomes in infants. Hence, 3D US has the ability to assess the volume of the ...
2203.08332
Liang Peng
Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Accepted by ICLR 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monocular 3D object detection is one of the most challenging tasks in 3D scene understanding. Due to the ill-posed nature of monocular imagery, existing monocular 3D detection methods highly rely on training with the manually annotated 3D box labels on the LiDAR point clouds. This annotation process is very laborious...
[ { "created": "Wed, 16 Mar 2022 00:37:08 GMT", "version": "v1" } ]
2022-03-17
[ [ "Peng", "Liang", "" ], [ "Yan", "Senbo", "" ], [ "Wu", "Boxi", "" ], [ "Yang", "Zheng", "" ], [ "He", "Xiaofei", "" ], [ "Cai", "Deng", "" ] ]
Monocular 3D object detection is one of the most challenging tasks in 3D scene understanding. Due to the ill-posed nature of monocular imagery, existing monocular 3D detection methods highly rely on training with the manually annotated 3D box labels on the LiDAR point clouds. This annotation process is very laborious a...
2008.08963
Srijita Kundu
Rahul Jain and Srijita Kundu
A Direct Product Theorem for One-Way Quantum Communication
31 pages, 1 figure
null
null
null
cs.CC quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove a direct product theorem for the one-way entanglement-assisted quantum communication complexity of a general relation $f\subseteq\mathcal{X}\times\mathcal{Y}\times\mathcal{Z}$. For any $\varepsilon, \zeta > 0$ and any $k\geq1$, we show that \[ \mathrm{Q}^1_{1-(1-\varepsilon)^{\Omega(\zeta^6k/\log|\mathcal{Z}...
[ { "created": "Thu, 20 Aug 2020 13:31:41 GMT", "version": "v1" } ]
2020-08-21
[ [ "Jain", "Rahul", "" ], [ "Kundu", "Srijita", "" ] ]
We prove a direct product theorem for the one-way entanglement-assisted quantum communication complexity of a general relation $f\subseteq\mathcal{X}\times\mathcal{Y}\times\mathcal{Z}$. For any $\varepsilon, \zeta > 0$ and any $k\geq1$, we show that \[ \mathrm{Q}^1_{1-(1-\varepsilon)^{\Omega(\zeta^6k/\log|\mathcal{Z}|)...
1607.02230
EPTCS
Antonina Nepeivoda
Turchin's Relation for Call-by-Name Computations: A Formal Approach
In Proceedings VPT 2016, arXiv:1607.01835
EPTCS 216, 2016, pp. 137-159
10.4204/EPTCS.216.8
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supercompilation is a program transformation technique that was first described by V. F. Turchin in the 1970s. In supercompilation, Turchin's relation as a similarity relation on call-stack configurations is used both for call-by-value and call-by-name semantics to terminate unfolding of the program being transformed...
[ { "created": "Fri, 8 Jul 2016 05:31:36 GMT", "version": "v1" } ]
2016-07-11
[ [ "Nepeivoda", "Antonina", "" ] ]
Supercompilation is a program transformation technique that was first described by V. F. Turchin in the 1970s. In supercompilation, Turchin's relation as a similarity relation on call-stack configurations is used both for call-by-value and call-by-name semantics to terminate unfolding of the program being transformed. ...
2210.12491
Behzad Ghanbarian
Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand, Vahid Taslimitehrani, Larry W. Lake
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
null
Engineering Applications of Artificial Intelligence Volume 128, February 2024, 107500
10.1016/j.engappai.2023.107500
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizations. A key reservoir property is hydrocarbon recovery factor (RF) whose accurate estimation would provide decisive insights to drilling an...
[ { "created": "Sat, 22 Oct 2022 16:25:49 GMT", "version": "v1" } ]
2023-12-05
[ [ "Roustazadeh", "Alireza", "" ], [ "Ghanbarian", "Behzad", "" ], [ "Shadmand", "Mohammad B.", "" ], [ "Taslimitehrani", "Vahid", "" ], [ "Lake", "Larry W.", "" ] ]
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizations. A key reservoir property is hydrocarbon recovery factor (RF) whose accurate estimation would provide decisive insights to drilling and ...
2107.05220
Yannis Stamatiou
Vasiliki Liagkou, Panayotis Nastou, Paul Spirakis, Yannis Stamatiou
On the undecidability of the Panopticon detection problem
13 pages, no figures, technical report
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The Panopticon (which means "watcher of everything") is a well-known structure of continuous surveillance and discipline proposed by Bentham in 1785. This device was, later, used by Foucault and other philosophers as a paradigm and metaphor for the study of constitutional power and knowledge as well as a model of ind...
[ { "created": "Mon, 12 Jul 2021 06:48:17 GMT", "version": "v1" } ]
2021-07-13
[ [ "Liagkou", "Vasiliki", "" ], [ "Nastou", "Panayotis", "" ], [ "Spirakis", "Paul", "" ], [ "Stamatiou", "Yannis", "" ] ]
The Panopticon (which means "watcher of everything") is a well-known structure of continuous surveillance and discipline proposed by Bentham in 1785. This device was, later, used by Foucault and other philosophers as a paradigm and metaphor for the study of constitutional power and knowledge as well as a model of indiv...
1405.2496
Stefano Gonella
Jeffrey M. Druce, Jarvis D. Haupt, Stefano Gonella
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media
Submitted to the Proceedings of the Royal Society A
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a strategy for the detection and triangulation of structural anomalies in solid media. The method revolves around the construction of sparse representations of the medium's dynamic response, obtained by learning instructive dictionaries which form a suitable basis for the response data. The result...
[ { "created": "Sun, 11 May 2014 04:24:35 GMT", "version": "v1" } ]
2014-05-13
[ [ "Druce", "Jeffrey M.", "" ], [ "Haupt", "Jarvis D.", "" ], [ "Gonella", "Stefano", "" ] ]
This paper proposes a strategy for the detection and triangulation of structural anomalies in solid media. The method revolves around the construction of sparse representations of the medium's dynamic response, obtained by learning instructive dictionaries which form a suitable basis for the response data. The resultin...
cs/0501033
Pierre-Louis Curien
Pierre-Louis Curien (PPS)
Playful, streamlike computation
null
Domain theory, logic and computation, Kluwer Academic Publishers (Ed.) (2003) 1-24
null
null
cs.LO
null
We offer a short tour into the interactive interpretation of sequential programs. We emphasize streamlike computation -- that is, computation of successive bits of information upon request. The core of the approach surveyed here dates back to the work of Berry and the author on sequential algorithms on concrete data ...
[ { "created": "Tue, 18 Jan 2005 07:39:09 GMT", "version": "v1" } ]
2007-06-17
[ [ "Curien", "Pierre-Louis", "", "PPS" ] ]
We offer a short tour into the interactive interpretation of sequential programs. We emphasize streamlike computation -- that is, computation of successive bits of information upon request. The core of the approach surveyed here dates back to the work of Berry and the author on sequential algorithms on concrete data st...
2210.07448
Stefan Larson
Stefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach
Evaluating Out-of-Distribution Performance on Document Image Classifiers
NeurIPS D&B 2022
null
null
null
cs.CV cs.CL
http://creativecommons.org/licenses/by/4.0/
The ability of a document classifier to handle inputs that are drawn from a distribution different from the training distribution is crucial for robust deployment and generalizability. The RVL-CDIP corpus is the de facto standard benchmark for document classification, yet to our knowledge all studies that use this co...
[ { "created": "Fri, 14 Oct 2022 01:24:21 GMT", "version": "v1" }, { "created": "Wed, 18 Jan 2023 16:26:48 GMT", "version": "v2" } ]
2023-01-19
[ [ "Larson", "Stefan", "" ], [ "Lim", "Gordon", "" ], [ "Ai", "Yutong", "" ], [ "Kuang", "David", "" ], [ "Leach", "Kevin", "" ] ]
The ability of a document classifier to handle inputs that are drawn from a distribution different from the training distribution is crucial for robust deployment and generalizability. The RVL-CDIP corpus is the de facto standard benchmark for document classification, yet to our knowledge all studies that use this corp...
2202.07630
Chen Liu
Chen Liu, Jonas Pfeiffer, Anna Korhonen, Ivan Vuli\'c, Iryna Gurevych
Delving Deeper into Cross-lingual Visual Question Answering
Findings of EACL 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Visual question answering (VQA) is one of the crucial vision-and-language tasks. Yet, existing VQA research has mostly focused on the English language, due to a lack of suitable evaluation resources. Previous work on cross-lingual VQA has reported poor zero-shot transfer performance of current multilingual multimodal...
[ { "created": "Tue, 15 Feb 2022 18:22:18 GMT", "version": "v1" }, { "created": "Thu, 8 Jun 2023 18:33:28 GMT", "version": "v2" } ]
2023-06-12
[ [ "Liu", "Chen", "" ], [ "Pfeiffer", "Jonas", "" ], [ "Korhonen", "Anna", "" ], [ "Vulić", "Ivan", "" ], [ "Gurevych", "Iryna", "" ] ]
Visual question answering (VQA) is one of the crucial vision-and-language tasks. Yet, existing VQA research has mostly focused on the English language, due to a lack of suitable evaluation resources. Previous work on cross-lingual VQA has reported poor zero-shot transfer performance of current multilingual multimodal T...
1311.0251
Andrew Mao
Andrew Mao, Hossein Azari Soufiani, Yiling Chen, David C. Parkes
Capturing Variation and Uncertainty in Human Judgment
null
null
null
null
cs.IR cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The well-studied problem of statistical rank aggregation has been applied to comparing sports teams, information retrieval, and most recently to data generated by human judgment. Such human-generated rankings may be substantially different from traditional statistical ranking data. In this work, we show that a recent...
[ { "created": "Tue, 29 Oct 2013 21:30:59 GMT", "version": "v1" }, { "created": "Mon, 3 Nov 2014 22:10:36 GMT", "version": "v2" } ]
2014-11-05
[ [ "Mao", "Andrew", "" ], [ "Soufiani", "Hossein Azari", "" ], [ "Chen", "Yiling", "" ], [ "Parkes", "David C.", "" ] ]
The well-studied problem of statistical rank aggregation has been applied to comparing sports teams, information retrieval, and most recently to data generated by human judgment. Such human-generated rankings may be substantially different from traditional statistical ranking data. In this work, we show that a recently...
cs/0702114
David Pritchard
David Pritchard
Nearest Neighbor Network Traversal
null
null
null
null
cs.DC
null
A mobile agent in a network wants to visit every node of an n-node network, using a small number of steps. We investigate the performance of the following ``nearest neighbor'' heuristic: always go to the nearest unvisited node. If the network graph never changes, then from (Rosenkrantz, Stearns and Lewis, 1977) and (...
[ { "created": "Tue, 20 Feb 2007 03:54:12 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pritchard", "David", "" ] ]
A mobile agent in a network wants to visit every node of an n-node network, using a small number of steps. We investigate the performance of the following ``nearest neighbor'' heuristic: always go to the nearest unvisited node. If the network graph never changes, then from (Rosenkrantz, Stearns and Lewis, 1977) and (Hu...
1906.00697
Bin Li
Xiaoyu Shi, Benedetta Tondi, Bin Li, Mauro Barni
CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework
Adversarial embedding, deep learning, steganography, steganalysis, game theory
null
null
null
cs.MM cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CNN-based steganalysis has recently achieved very good performance in detecting content-adaptive steganography. At the same time, recent works have shown that, by adopting an approach similar to that used to build adversarial examples, a steganographer can adopt an adversarial embedding strategy to effectively counte...
[ { "created": "Mon, 3 Jun 2019 10:48:36 GMT", "version": "v1" } ]
2019-06-04
[ [ "Shi", "Xiaoyu", "" ], [ "Tondi", "Benedetta", "" ], [ "Li", "Bin", "" ], [ "Barni", "Mauro", "" ] ]
CNN-based steganalysis has recently achieved very good performance in detecting content-adaptive steganography. At the same time, recent works have shown that, by adopting an approach similar to that used to build adversarial examples, a steganographer can adopt an adversarial embedding strategy to effectively counter ...
2205.08521
Michael Rudow
Michael Rudow and K.V. Rashmi
Learning-Augmented Streaming Codes are Approximately Optimal for Variable-Size Messages
13 pages, 8 figures, this is an extended version of the IEEE ISIT 2022 paper with the same title
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time streaming communication requires a high quality of service despite contending with packet loss. Streaming codes are a class of codes best suited for this setting. A key challenge for streaming codes is that they operate in an "online" setting in which the amount of data to be transmitted varies over time an...
[ { "created": "Tue, 17 May 2022 17:45:53 GMT", "version": "v1" } ]
2022-05-18
[ [ "Rudow", "Michael", "" ], [ "Rashmi", "K. V.", "" ] ]
Real-time streaming communication requires a high quality of service despite contending with packet loss. Streaming codes are a class of codes best suited for this setting. A key challenge for streaming codes is that they operate in an "online" setting in which the amount of data to be transmitted varies over time and ...
1210.6413
EPTCS
Eduardo Zambon (University of Twente), Arend Rensink (University of Twente)
Graph Subsumption in Abstract State Space Exploration
In Proceedings GRAPHITE 2012, arXiv:1210.6118
EPTCS 99, 2012, pp. 35-49
10.4204/EPTCS.99.6
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present the extension of an existing method for abstract graph-based state space exploration, called neighbourhood abstraction, with a reduction technique based on subsumption. Basically, one abstract state subsumes another when it covers more concrete states; in such a case, the subsumed state need ...
[ { "created": "Wed, 24 Oct 2012 00:33:15 GMT", "version": "v1" } ]
2012-10-25
[ [ "Zambon", "Eduardo", "", "University of Twente" ], [ "Rensink", "Arend", "", "University of\n Twente" ] ]
In this paper we present the extension of an existing method for abstract graph-based state space exploration, called neighbourhood abstraction, with a reduction technique based on subsumption. Basically, one abstract state subsumes another when it covers more concrete states; in such a case, the subsumed state need no...
1506.08637
Maice Costa
Maice Costa, Marian Codreanu, and Anthony Ephremides
On The Age Of Information In Status Update Systems With Packet Management
20 pages, 7 figures
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a communication system in which status updates arrive at a source node, and should be transmitted through a network to the intended destination node. The status updates are samples of a random process under observation, transmitted as packets, which also contain the time stamp to identify when the sample ...
[ { "created": "Mon, 29 Jun 2015 14:09:54 GMT", "version": "v1" } ]
2015-06-30
[ [ "Costa", "Maice", "" ], [ "Codreanu", "Marian", "" ], [ "Ephremides", "Anthony", "" ] ]
We consider a communication system in which status updates arrive at a source node, and should be transmitted through a network to the intended destination node. The status updates are samples of a random process under observation, transmitted as packets, which also contain the time stamp to identify when the sample wa...
1908.06381
Danylo Malyuta
Danylo Malyuta, Christian Brommer, Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers
Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition
38 pages, 28 figures
J Field Robotics (2019) 1-21
10.1002/rob.21898
null
cs.RO cs.CV cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent applications of unmanned aerial systems (UAS) to precision agriculture have shown increased ease and efficiency in data collection at precise remote locations. However, further enhancement of the field requires operation over long periods of time, e.g. days or weeks. This has so far been impractical due to the...
[ { "created": "Sun, 18 Aug 2019 06:33:52 GMT", "version": "v1" } ]
2019-08-20
[ [ "Malyuta", "Danylo", "" ], [ "Brommer", "Christian", "" ], [ "Hentzen", "Daniel", "" ], [ "Stastny", "Thomas", "" ], [ "Siegwart", "Roland", "" ], [ "Brockers", "Roland", "" ] ]
Recent applications of unmanned aerial systems (UAS) to precision agriculture have shown increased ease and efficiency in data collection at precise remote locations. However, further enhancement of the field requires operation over long periods of time, e.g. days or weeks. This has so far been impractical due to the l...
2106.12021
Abhishek Moitra
Abhishek Moitra and Priyadarshini Panda
DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays
14 pages, 13 figures
IEEE Transactions on Circuits and Systems 1- Regular Papers, 2021
10.1109/TCSI.2021.3110487
null
cs.CR cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial input detection has emerged as a prominent technique to harden Deep Neural Networks(DNNs) against adversarial attacks. Most prior works use neural network-based detectors or complex statistical analysis for adversarial detection. These approaches are computationally intensive and vulnerable to adversarial...
[ { "created": "Tue, 22 Jun 2021 19:09:03 GMT", "version": "v1" } ]
2021-10-11
[ [ "Moitra", "Abhishek", "" ], [ "Panda", "Priyadarshini", "" ] ]
Adversarial input detection has emerged as a prominent technique to harden Deep Neural Networks(DNNs) against adversarial attacks. Most prior works use neural network-based detectors or complex statistical analysis for adversarial detection. These approaches are computationally intensive and vulnerable to adversarial a...
2103.01578
Daiki Morinaga
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, and Youhei Akimoto
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions
17 pages
null
null
null
cs.NE
http://creativecommons.org/licenses/by/4.0/
The (1+1)-evolution strategy (ES) with success-based step-size adaptation is analyzed on a general convex quadratic function and its monotone transformation, that is, $f(x) = g((x - x^*)^\mathrm{T} H (x - x^*))$, where $g:\mathbb{R}\to\mathbb{R}$ is a strictly increasing function, $H$ is a positive-definite symmetric...
[ { "created": "Tue, 2 Mar 2021 09:03:44 GMT", "version": "v1" }, { "created": "Mon, 12 Apr 2021 14:16:38 GMT", "version": "v2" } ]
2021-04-13
[ [ "Morinaga", "Daiki", "" ], [ "Fukuchi", "Kazuto", "" ], [ "Sakuma", "Jun", "" ], [ "Akimoto", "Youhei", "" ] ]
The (1+1)-evolution strategy (ES) with success-based step-size adaptation is analyzed on a general convex quadratic function and its monotone transformation, that is, $f(x) = g((x - x^*)^\mathrm{T} H (x - x^*))$, where $g:\mathbb{R}\to\mathbb{R}$ is a strictly increasing function, $H$ is a positive-definite symmetric m...
1506.03883
Dietmar Berwanger
Dietmar Berwanger, Anup Basil Mathew, Marie van den Bogaard
Hierarchical Information and the Synthesis of Distributed Strategies
35 pages, 6 figures; extended version of a paper presented at ATVA 2015
null
null
null
cs.GT cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Infinite games with imperfect information are known to be undecidable unless the information flow is severely restricted. One fundamental decidable case occurs when there is a total ordering among players, such that each player has access to all the information that the following ones receive. In this paper we cons...
[ { "created": "Fri, 12 Jun 2015 01:11:24 GMT", "version": "v1" }, { "created": "Sat, 16 Jul 2016 12:14:37 GMT", "version": "v2" } ]
2016-07-19
[ [ "Berwanger", "Dietmar", "" ], [ "Mathew", "Anup Basil", "" ], [ "Bogaard", "Marie van den", "" ] ]
Infinite games with imperfect information are known to be undecidable unless the information flow is severely restricted. One fundamental decidable case occurs when there is a total ordering among players, such that each player has access to all the information that the following ones receive. In this paper we consider...
1902.01975
Alireza Javani
Alireza Javani, Marwen Zorgui and Zhiying Wang
Age of Information in Multiple Sensing
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Having timely and fresh knowledge about the current state of information sources is critical in a variety of applications. In particular, a status update may arrive at the destination much later than its generation time due to processing and communication delays. The freshness of the status update at the destination ...
[ { "created": "Tue, 5 Feb 2019 23:28:02 GMT", "version": "v1" }, { "created": "Thu, 13 Jun 2019 01:34:00 GMT", "version": "v2" } ]
2019-06-14
[ [ "Javani", "Alireza", "" ], [ "Zorgui", "Marwen", "" ], [ "Wang", "Zhiying", "" ] ]
Having timely and fresh knowledge about the current state of information sources is critical in a variety of applications. In particular, a status update may arrive at the destination much later than its generation time due to processing and communication delays. The freshness of the status update at the destination is...
2310.03091
Daile Osorio-Roig
Daile Osorio-Roig, Lazaro J. Gonzalez-Soler, Christian Rathgeb, Christoph Busch
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The development of large-scale identification systems that ensure the privacy protection of enrolled subjects represents a major challenge. Biometric deployments that provide interoperability and usability by including efficient multi-biometric solutions are a recent requirement. In the context of privacy protection,...
[ { "created": "Wed, 4 Oct 2023 18:18:24 GMT", "version": "v1" } ]
2023-10-06
[ [ "Osorio-Roig", "Daile", "" ], [ "Gonzalez-Soler", "Lazaro J.", "" ], [ "Rathgeb", "Christian", "" ], [ "Busch", "Christoph", "" ] ]
The development of large-scale identification systems that ensure the privacy protection of enrolled subjects represents a major challenge. Biometric deployments that provide interoperability and usability by including efficient multi-biometric solutions are a recent requirement. In the context of privacy protection, s...
2304.13149
Christophe Van Gysel
Christophe Van Gysel
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
SIGIR '23. The 46th International ACM SIGIR Conference on Research & Development in Information Retrieval
null
10.1145/3539618.3591849
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to modeling spoken information queries for virtual assistants, and list opportunities where Information Retrieval methods an...
[ { "created": "Tue, 25 Apr 2023 20:52:40 GMT", "version": "v1" } ]
2023-04-27
[ [ "Van Gysel", "Christophe", "" ] ]
Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to modeling spoken information queries for virtual assistants, and list opportunities where Information Retrieval methods and re...
2301.10404
Chetan Arora
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Muneera Bano, John Grundy
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, and Apple have provided a suite of recent guidelines to assist engineering teams in building human-centered AI systems. [Obje...
[ { "created": "Wed, 25 Jan 2023 04:45:06 GMT", "version": "v1" } ]
2023-01-26
[ [ "Ahmad", "Khlood", "" ], [ "Abdelrazek", "Mohamed", "" ], [ "Arora", "Chetan", "" ], [ "Bano", "Muneera", "" ], [ "Grundy", "John", "" ] ]
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, and Apple have provided a suite of recent guidelines to assist engineering teams in building human-centered AI systems. [Object...
2208.10922
Dongchan Min
Dongchan Min, Minyoung Song, Eunji Ko, Sung Ju Hwang
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation
null
null
null
null
cs.CV cs.LG eess.AS eess.IV
http://creativecommons.org/licenses/by/4.0/
We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synced lip shapes, realistic head poses, and eye blinks. Specifically, by leveraging a pretrained image generator and an image encoder, we esti...
[ { "created": "Tue, 23 Aug 2022 12:49:01 GMT", "version": "v1" }, { "created": "Fri, 15 Mar 2024 08:48:04 GMT", "version": "v2" } ]
2024-03-18
[ [ "Min", "Dongchan", "" ], [ "Song", "Minyoung", "" ], [ "Ko", "Eunji", "" ], [ "Hwang", "Sung Ju", "" ] ]
We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synced lip shapes, realistic head poses, and eye blinks. Specifically, by leveraging a pretrained image generator and an image encoder, we estima...
1602.02685
Cristobal Esteban
Crist\'obal Esteban, Oliver Staeck, Yinchong Yang and Volker Tresp
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
null
null
null
null
cs.LG cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In clinical data sets we often find static information (e.g. patient gender, blood type, etc.) combined with sequences of data that are recorded during multiple hospital visits (e.g. medications prescribed, tests performed, etc.). Recurrent Neural Networks (RNNs) have proven to be very successful for modelling sequen...
[ { "created": "Mon, 8 Feb 2016 18:30:58 GMT", "version": "v1" }, { "created": "Thu, 17 Nov 2016 11:52:19 GMT", "version": "v2" } ]
2016-11-18
[ [ "Esteban", "Cristóbal", "" ], [ "Staeck", "Oliver", "" ], [ "Yang", "Yinchong", "" ], [ "Tresp", "Volker", "" ] ]
In clinical data sets we often find static information (e.g. patient gender, blood type, etc.) combined with sequences of data that are recorded during multiple hospital visits (e.g. medications prescribed, tests performed, etc.). Recurrent Neural Networks (RNNs) have proven to be very successful for modelling sequence...
2310.02635
Weirui Ye
Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao
Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance
null
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, people have shown that large-scale pre-training from internet-scale data is the key to building generalist models, as witnessed in NLP. To build embodied generalist agents, we and many other researchers hypothesize that such foundation prior is also an indispensable component. However, it is unclear what is...
[ { "created": "Wed, 4 Oct 2023 07:56:42 GMT", "version": "v1" }, { "created": "Tue, 10 Oct 2023 04:13:20 GMT", "version": "v2" } ]
2023-10-11
[ [ "Ye", "Weirui", "" ], [ "Zhang", "Yunsheng", "" ], [ "Wang", "Mengchen", "" ], [ "Wang", "Shengjie", "" ], [ "Gu", "Xianfan", "" ], [ "Abbeel", "Pieter", "" ], [ "Gao", "Yang", "" ] ]
Recently, people have shown that large-scale pre-training from internet-scale data is the key to building generalist models, as witnessed in NLP. To build embodied generalist agents, we and many other researchers hypothesize that such foundation prior is also an indispensable component. However, it is unclear what is t...
2304.12671
Raquel Blanco
Raquel Blanco, Javier Tuya, Ruben V. Seco
Test adequacy evaluation for the user-database interaction: a specification-based approach
IEEE Fifth International Conference on Software Testing, Verification and Validation (ICST 2012), Montreal, QC, Canada, 2012
null
10.1109/ICST.2012.87
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Testing a database application is a challenging process where both the database and the user interaction have to be considered in the design of test cases. This paper describes a specification-based approach to guide the design of test inputs (both the test database and the user inputs) for a database application and...
[ { "created": "Tue, 25 Apr 2023 09:20:22 GMT", "version": "v1" } ]
2023-04-26
[ [ "Blanco", "Raquel", "" ], [ "Tuya", "Javier", "" ], [ "Seco", "Ruben V.", "" ] ]
Testing a database application is a challenging process where both the database and the user interaction have to be considered in the design of test cases. This paper describes a specification-based approach to guide the design of test inputs (both the test database and the user inputs) for a database application and t...
2205.05626
Mohammad Dehghani Soltani
Mohammad Dehghani Soltani, Hossein Kazemi, Elham Sarbazi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani, Richard V. Penty, Ian H. White, Harald Haas and Majid Safari
High-Speed Imaging Receiver Design for 6G Optical Wireless Communications: A Rate-FOV Trade-Off
30 pages, 15 Figures and 6 Tables
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
The design of a compact high-speed and wide field of view (FOV) receiver is challenging due to the presence of two well-known trade-offs. The first one is the area-bandwidth trade-off of photodetectors (PDs) and the second one is the gain-FOV trade-off due to the use of optics. The combined effects of these two trade...
[ { "created": "Wed, 11 May 2022 16:51:19 GMT", "version": "v1" } ]
2022-05-12
[ [ "Soltani", "Mohammad Dehghani", "" ], [ "Kazemi", "Hossein", "" ], [ "Sarbazi", "Elham", "" ], [ "El-Gorashi", "Taisir E. H.", "" ], [ "Elmirghani", "Jaafar M. H.", "" ], [ "Penty", "Richard V.", "" ], [ "White", ...
The design of a compact high-speed and wide field of view (FOV) receiver is challenging due to the presence of two well-known trade-offs. The first one is the area-bandwidth trade-off of photodetectors (PDs) and the second one is the gain-FOV trade-off due to the use of optics. The combined effects of these two trade-o...
2106.04811
Jem Guhit
Jem Guhit, Edward Colone, Shawn McKee, Kris Steinhoff, and Katarina Thomas
Benchmarking NetBASILISK: a Network Security Project for Science
12 pages, 4 figures, presented at vCHEP '21 Conference
null
10.1051/epjconf/202125102068
null
cs.DC cs.CR cs.DB cs.NI
http://creativecommons.org/licenses/by/4.0/
Infrastructures supporting distributed scientific collaborations must address competing goals in both providing high-performance access to resources while simultaneously securing the infrastructure against security threats. The NetBASILISK project is attempting to improve the security of such infrastructures while no...
[ { "created": "Wed, 9 Jun 2021 05:08:26 GMT", "version": "v1" } ]
2021-09-08
[ [ "Guhit", "Jem", "" ], [ "Colone", "Edward", "" ], [ "McKee", "Shawn", "" ], [ "Steinhoff", "Kris", "" ], [ "Thomas", "Katarina", "" ] ]
Infrastructures supporting distributed scientific collaborations must address competing goals in both providing high-performance access to resources while simultaneously securing the infrastructure against security threats. The NetBASILISK project is attempting to improve the security of such infrastructures while not ...
1805.07885
Araz Taeihagh
Yanwei Li, Araz Taeihagh, Martin de Jong
The Governance of Risks in Ridesharing: A Revelatory Case from Singapore
null
Energies 11, no. 5: 1277 (2018)
10.3390/en11051277
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently we have witnessed the worldwide adoption of many different types of innovative technologies, such as crowdsourcing, ridesharing, open and big data, aiming at delivering public services more efficiently and effectively. Among them, ridesharing has received substantial attention from decision-makers around the...
[ { "created": "Mon, 21 May 2018 04:12:01 GMT", "version": "v1" } ]
2018-05-22
[ [ "Li", "Yanwei", "" ], [ "Taeihagh", "Araz", "" ], [ "de Jong", "Martin", "" ] ]
Recently we have witnessed the worldwide adoption of many different types of innovative technologies, such as crowdsourcing, ridesharing, open and big data, aiming at delivering public services more efficiently and effectively. Among them, ridesharing has received substantial attention from decision-makers around the w...
2006.01784
Vahid Yazdanpanah
Vahid Yazdanpanah, Devrim Murat Yazan, W. Henk M. Zijm
Coordinating Multiagent Industrial Symbiosis
null
null
null
null
cs.MA cs.AI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a formal multiagent framework for coordinating a class of collaborative industrial practices called Industrial Symbiotic Networks (ISNs) as cooperative games. The game-theoretic formulation of ISNs enables systematic reasoning about what we call the ISN implementation problem. Specifically, the characteris...
[ { "created": "Tue, 2 Jun 2020 17:05:43 GMT", "version": "v1" } ]
2020-06-03
[ [ "Yazdanpanah", "Vahid", "" ], [ "Yazan", "Devrim Murat", "" ], [ "Zijm", "W. Henk M.", "" ] ]
We present a formal multiagent framework for coordinating a class of collaborative industrial practices called Industrial Symbiotic Networks (ISNs) as cooperative games. The game-theoretic formulation of ISNs enables systematic reasoning about what we call the ISN implementation problem. Specifically, the characteristi...
1004.2425
Vishwambhar Rathi
Vishwambhar Rathi, Erik Aurell, Lars Rasmussen, Mikael Skoglund
Bounds on Thresholds Related to Maximum Satisfiability of Regular Random Formulas
6th International symposium on turbo codes & iterative information processing, 2010
null
null
null
cs.IT cs.CC cs.DM math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the regular balanced model of formula generation in conjunctive normal form (CNF) introduced by Boufkhad, Dubois, Interian, and Selman. We say that a formula is $p$-satisfying if there is a truth assignment satisfying $1-2^{-k}+p 2^{-k}$ fraction of clauses. Using the first moment method we determine uppe...
[ { "created": "Wed, 14 Apr 2010 15:46:53 GMT", "version": "v1" } ]
2010-04-15
[ [ "Rathi", "Vishwambhar", "" ], [ "Aurell", "Erik", "" ], [ "Rasmussen", "Lars", "" ], [ "Skoglund", "Mikael", "" ] ]
We consider the regular balanced model of formula generation in conjunctive normal form (CNF) introduced by Boufkhad, Dubois, Interian, and Selman. We say that a formula is $p$-satisfying if there is a truth assignment satisfying $1-2^{-k}+p 2^{-k}$ fraction of clauses. Using the first moment method we determine upper ...
2310.03159
Dimitri Bertsekas
Dimitri Bertsekas
New Auction Algorithms for the Assignment Problem and Extensions
null
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
We consider the classical linear assignment problem, and we introduce new auction algorithms for its optimal and suboptimal solution. The algorithms are founded on duality theory, and are related to ideas of competitive bidding by persons for objects and the attendant market equilibrium, which underlie real-life auct...
[ { "created": "Wed, 4 Oct 2023 20:54:41 GMT", "version": "v1" }, { "created": "Sat, 21 Oct 2023 16:17:58 GMT", "version": "v2" } ]
2023-10-24
[ [ "Bertsekas", "Dimitri", "" ] ]
We consider the classical linear assignment problem, and we introduce new auction algorithms for its optimal and suboptimal solution. The algorithms are founded on duality theory, and are related to ideas of competitive bidding by persons for objects and the attendant market equilibrium, which underlie real-life auctio...
2403.09892
Jonathan Dunn
Jonathan Dunn and Lane Edwards-Brown
Geographically-Informed Language Identification
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper develops an approach to language identification in which the set of languages considered by the model depends on the geographic origin of the text in question. Given that many digital corpora can be geo-referenced at the country level, this paper formulates 16 region-specific models, each of which contains...
[ { "created": "Thu, 14 Mar 2024 21:55:17 GMT", "version": "v1" } ]
2024-03-18
[ [ "Dunn", "Jonathan", "" ], [ "Edwards-Brown", "Lane", "" ] ]
This paper develops an approach to language identification in which the set of languages considered by the model depends on the geographic origin of the text in question. Given that many digital corpora can be geo-referenced at the country level, this paper formulates 16 region-specific models, each of which contains t...
2402.05954
Sijun Xia
Jianming Lv, Sijun Xia, Depin Liang, Wei Chen
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional model-free feature selection methods treat each feature independently while disregarding the interrelationships among features, which leads to relatively poor performance compared with the model-aware methods. To address this challenge, we propose an efficient model-free feature selection framework via el...
[ { "created": "Sun, 4 Feb 2024 09:25:07 GMT", "version": "v1" } ]
2024-02-12
[ [ "Lv", "Jianming", "" ], [ "Xia", "Sijun", "" ], [ "Liang", "Depin", "" ], [ "Chen", "Wei", "" ] ]
Traditional model-free feature selection methods treat each feature independently while disregarding the interrelationships among features, which leads to relatively poor performance compared with the model-aware methods. To address this challenge, we propose an efficient model-free feature selection framework via elas...
2003.00637
Shunping Ji
Jin Liu and Shunping Ji
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A great deal of research has demonstrated recently that multi-view stereo (MVS) matching can be solved with deep learning methods. However, these efforts were focused on close-range objects and only a very few of the deep learning-based methods were specifically designed for large-scale 3D urban reconstruction due to...
[ { "created": "Mon, 2 Mar 2020 03:04:13 GMT", "version": "v1" }, { "created": "Mon, 9 Mar 2020 04:11:01 GMT", "version": "v2" }, { "created": "Mon, 16 Mar 2020 04:27:33 GMT", "version": "v3" } ]
2020-03-17
[ [ "Liu", "Jin", "" ], [ "Ji", "Shunping", "" ] ]
A great deal of research has demonstrated recently that multi-view stereo (MVS) matching can be solved with deep learning methods. However, these efforts were focused on close-range objects and only a very few of the deep learning-based methods were specifically designed for large-scale 3D urban reconstruction due to t...
2312.07925
Weiguang Zhang
Weiguang Zhang, Qiufeng Wang, Kaizhu Huang
Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Document dewarping, aiming to eliminate geometric deformation in photographed documents to benefit text recognition, has made great progress in recent years but is still far from being solved. While Cartesian coordinates are typically leveraged by state-of-the-art approaches to learn a group of deformation control po...
[ { "created": "Wed, 13 Dec 2023 06:50:30 GMT", "version": "v1" } ]
2023-12-14
[ [ "Zhang", "Weiguang", "" ], [ "Wang", "Qiufeng", "" ], [ "Huang", "Kaizhu", "" ] ]
Document dewarping, aiming to eliminate geometric deformation in photographed documents to benefit text recognition, has made great progress in recent years but is still far from being solved. While Cartesian coordinates are typically leveraged by state-of-the-art approaches to learn a group of deformation control poin...
2203.15496
Gregory Kucherov
\'Eric Fusy, Gregory Kucherov
Phase transition in count approximation by Count-Min sketch with conservative updates
19 pages, 4 figures
null
10.1007/978-3-031-30448-4_17
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Count-Min sketch is a hash-based data structure to represent a dynamically changing associative array of counters. Here we analyse the counting version of Count-Min under a stronger update rule known as \textit{conservative update}, assuming the uniform distribution of input keys. We show that the accuracy of conserv...
[ { "created": "Tue, 29 Mar 2022 12:46:04 GMT", "version": "v1" }, { "created": "Thu, 14 Jul 2022 08:34:32 GMT", "version": "v2" } ]
2023-09-08
[ [ "Fusy", "Éric", "" ], [ "Kucherov", "Gregory", "" ] ]
Count-Min sketch is a hash-based data structure to represent a dynamically changing associative array of counters. Here we analyse the counting version of Count-Min under a stronger update rule known as \textit{conservative update}, assuming the uniform distribution of input keys. We show that the accuracy of conservat...
1606.02143
Paul Ferrand
Paul Ferrand and Mustapha Amara and Maxime Guillaud and Stefan Valentin
Trends and Challenges in Wireless Channel Modeling for an Evolving Radio Access
5 figures. To appear in IEEE Communication Magazine
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of 5G, standardization and research are currently defining the next generation of the radio access. Considering the high constraints imposed by the future standards, disruptive technologies such as Massive MIMO and mmWave are being proposed. At the heart of this process are wireless channel models tha...
[ { "created": "Tue, 7 Jun 2016 13:59:56 GMT", "version": "v1" } ]
2016-06-08
[ [ "Ferrand", "Paul", "" ], [ "Amara", "Mustapha", "" ], [ "Guillaud", "Maxime", "" ], [ "Valentin", "Stefan", "" ] ]
With the advent of 5G, standardization and research are currently defining the next generation of the radio access. Considering the high constraints imposed by the future standards, disruptive technologies such as Massive MIMO and mmWave are being proposed. At the heart of this process are wireless channel models that ...
2212.04441
Geoffroi C\^ot\'e
Geoffroi C\^ot\'e, Fahim Mannan, Simon Thibault, Jean-Fran\c{c}ois Lalonde, Felix Heide
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
15 pages, 12 figures, to appear in CVPR 2023 proceedings, updated to reflect camera-ready submission
null
null
null
cs.CV physics.optics
http://creativecommons.org/licenses/by-sa/4.0/
Most camera lens systems are designed in isolation, separately from downstream computer vision methods. Recently, joint optimization approaches that design lenses alongside other components of the image acquisition and processing pipeline -- notably, downstream neural networks -- have achieved improved imaging qualit...
[ { "created": "Thu, 8 Dec 2022 18:01:17 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2023 18:16:47 GMT", "version": "v2" } ]
2023-03-29
[ [ "Côté", "Geoffroi", "" ], [ "Mannan", "Fahim", "" ], [ "Thibault", "Simon", "" ], [ "Lalonde", "Jean-François", "" ], [ "Heide", "Felix", "" ] ]
Most camera lens systems are designed in isolation, separately from downstream computer vision methods. Recently, joint optimization approaches that design lenses alongside other components of the image acquisition and processing pipeline -- notably, downstream neural networks -- have achieved improved imaging quality ...
2010.09256
Michel Grabisch
Michel Grabisch, Agnieszka Rusinowska, Xavier Venel
Diffusion in large networks
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the phenomenon of diffusion in a countably infinite society of individuals interacting with their neighbors in a network. At a given time, each individual is either active or inactive. The diffusion is driven by two characteristics: the network structure and the diffusion mechanism represented by an ag...
[ { "created": "Mon, 19 Oct 2020 06:56:18 GMT", "version": "v1" }, { "created": "Thu, 12 Aug 2021 12:53:49 GMT", "version": "v2" } ]
2021-08-13
[ [ "Grabisch", "Michel", "" ], [ "Rusinowska", "Agnieszka", "" ], [ "Venel", "Xavier", "" ] ]
We investigate the phenomenon of diffusion in a countably infinite society of individuals interacting with their neighbors in a network. At a given time, each individual is either active or inactive. The diffusion is driven by two characteristics: the network structure and the diffusion mechanism represented by an aggr...
2402.15439
Eike Schneiders
Steve Benford, Clara Mancini, Alan Chamberlain, Eike Schneiders, Simon Castle-Green, Joel Fischer, Ayse Kucukyilmaz, Guido Salimbeni, Victor Ngo, Pepita Barnard, Matt Adams, Nick Tandavanitj, Ju Row Farr
Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11--16, 2024, Honolulu, HI, USA
null
10.1145/3613904.3641994
null
cs.HC cs.RO
http://creativecommons.org/licenses/by/4.0/
While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royale was an artist-led exploration of creating an artwork to engage aud...
[ { "created": "Fri, 23 Feb 2024 16:57:39 GMT", "version": "v1" } ]
2024-02-26
[ [ "Benford", "Steve", "" ], [ "Mancini", "Clara", "" ], [ "Chamberlain", "Alan", "" ], [ "Schneiders", "Eike", "" ], [ "Castle-Green", "Simon", "" ], [ "Fischer", "Joel", "" ], [ "Kucukyilmaz", "Ayse", "" ]...
While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royale was an artist-led exploration of creating an artwork to engage audie...
2103.07234
Behrooz Makki
Behrooz Makki, Mohamed-Slim Alouini
Coded-Caching using Adaptive Transmission
under review in IEEE Wireless Communications Letters
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Coded-caching is a promising technique to reduce the peak rate requirement of backhaul links during high traffic periods. In this letter, we study the effect of adaptive transmission on the performance of coded-caching based networks. Particularly, concentrating on the reduction of backhaul peak load during the high ...
[ { "created": "Fri, 12 Mar 2021 12:23:17 GMT", "version": "v1" } ]
2021-03-15
[ [ "Makki", "Behrooz", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
Coded-caching is a promising technique to reduce the peak rate requirement of backhaul links during high traffic periods. In this letter, we study the effect of adaptive transmission on the performance of coded-caching based networks. Particularly, concentrating on the reduction of backhaul peak load during the high tr...
2405.00672
Julia Guerrero-Viu
Julia Guerrero-Viu, Milos Hasan, Arthur Roullier, Midhun Harikumar, Yiwei Hu, Paul Guerrero, Diego Gutierrez, Belen Masia, Valentin Deschaintre
TexSliders: Diffusion-Based Texture Editing in CLIP Space
SIGGRAPH 2024 Conference Proceedings
null
10.1145/3641519.3657444
null
cs.GR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural image editing. In this work, we propose to apply diffusion techniques to edit textures, a specific class of images that are an essential p...
[ { "created": "Wed, 1 May 2024 17:57:21 GMT", "version": "v1" } ]
2024-05-02
[ [ "Guerrero-Viu", "Julia", "" ], [ "Hasan", "Milos", "" ], [ "Roullier", "Arthur", "" ], [ "Harikumar", "Midhun", "" ], [ "Hu", "Yiwei", "" ], [ "Guerrero", "Paul", "" ], [ "Gutierrez", "Diego", "" ], [ ...
Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural image editing. In this work, we propose to apply diffusion techniques to edit textures, a specific class of images that are an essential par...
1001.0920
Ocan Sankur
Claire Mathieu, Ocan Sankur, Warren Schudy
Online Correlation Clustering
12 pages, 1 figure
null
null
null
cs.DS
http://creativecommons.org/licenses/by/3.0/
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, the relation between v and previously arrived items is revealed, so that for each u we are told whether v is similar to u. The algorithm c...
[ { "created": "Wed, 6 Jan 2010 15:54:38 GMT", "version": "v1" }, { "created": "Wed, 3 Feb 2010 13:23:16 GMT", "version": "v2" } ]
2010-02-03
[ [ "Mathieu", "Claire", "" ], [ "Sankur", "Ocan", "" ], [ "Schudy", "Warren", "" ] ]
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, the relation between v and previously arrived items is revealed, so that for each u we are told whether v is similar to u. The algorithm can...
1701.01290
Pengqian Yu
Pengqian Yu, William B. Haskell, Huan Xu
Approximate Value Iteration for Risk-aware Markov Decision Processes
null
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider large-scale Markov decision processes (MDPs) with a risk measure of variability in cost, under the risk-aware MDPs paradigm. Previous studies showed that risk-aware MDPs, based on a minimax approach to handling risk, can be solved using dynamic programming for small to medium sized problems. However, due ...
[ { "created": "Thu, 5 Jan 2017 12:10:26 GMT", "version": "v1" }, { "created": "Thu, 12 Jan 2017 08:56:12 GMT", "version": "v2" }, { "created": "Tue, 16 May 2017 13:51:48 GMT", "version": "v3" } ]
2017-05-17
[ [ "Yu", "Pengqian", "" ], [ "Haskell", "William B.", "" ], [ "Xu", "Huan", "" ] ]
We consider large-scale Markov decision processes (MDPs) with a risk measure of variability in cost, under the risk-aware MDPs paradigm. Previous studies showed that risk-aware MDPs, based on a minimax approach to handling risk, can be solved using dynamic programming for small to medium sized problems. However, due to...
1311.6165
Ying Long
Ying Long and Xingjian Liu
Automated identification and characterization of parcels (AICP) with OpenStreetMap and Points of Interest
26 pages, 6 figures
null
null
null
cs.CY cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Against the paucity of urban parcels in China, this paper proposes a method to automatically identify and characterize parcels (AICP) with OpenStreetMap (OSM) and Points of Interest (POI) data. Parcels are the basic spatial units for fine-scale urban modeling, urban studies, as well as spatial planning. Conventional ...
[ { "created": "Sun, 24 Nov 2013 20:24:41 GMT", "version": "v1" }, { "created": "Wed, 12 Feb 2014 15:01:12 GMT", "version": "v2" }, { "created": "Mon, 30 Mar 2015 12:04:33 GMT", "version": "v3" } ]
2015-03-31
[ [ "Long", "Ying", "" ], [ "Liu", "Xingjian", "" ] ]
Against the paucity of urban parcels in China, this paper proposes a method to automatically identify and characterize parcels (AICP) with OpenStreetMap (OSM) and Points of Interest (POI) data. Parcels are the basic spatial units for fine-scale urban modeling, urban studies, as well as spatial planning. Conventional wa...
1403.3344
Walter Quattrociocchi
Delia Mocanu, Luca Rossi, Qian Zhang, M\`arton Karsai, Walter Quattrociocchi
Collective attention in the age of (mis)information
misinformation, attention patterns, false information, social response
null
null
null
cs.SI cs.CY physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternat...
[ { "created": "Thu, 13 Mar 2014 17:57:05 GMT", "version": "v1" } ]
2014-03-14
[ [ "Mocanu", "Delia", "" ], [ "Rossi", "Luca", "" ], [ "Zhang", "Qian", "" ], [ "Karsai", "Màrton", "" ], [ "Quattrociocchi", "Walter", "" ] ]
In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternativ...
2401.03707
Geunhyuk Youk
Geunhyuk Youk, Jihyong Oh, Munchurl Kim
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
CVPR2024 (camera-ready version). The last two authors are co-corresponding authors. Please visit our project page at https://kaist-viclab.github.io/fmanet-site
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present a joint learning scheme of video super-resolution and deblurring, called VSRDB, to restore clean high-resolution (HR) videos from blurry low-resolution (LR) ones. This joint restoration problem has drawn much less attention compared to single restoration problems. In this paper, we propose a novel flow-gui...
[ { "created": "Mon, 8 Jan 2024 07:34:43 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2024 00:43:21 GMT", "version": "v2" } ]
2024-03-29
[ [ "Youk", "Geunhyuk", "" ], [ "Oh", "Jihyong", "" ], [ "Kim", "Munchurl", "" ] ]
We present a joint learning scheme of video super-resolution and deblurring, called VSRDB, to restore clean high-resolution (HR) videos from blurry low-resolution (LR) ones. This joint restoration problem has drawn much less attention compared to single restoration problems. In this paper, we propose a novel flow-guide...