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2203.01057
Le Yang
Le Yang, Junwei Han, Dingwen Zhang
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
CVPR 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online action detection has attracted increasing research interests in recent years. Current works model historical dependencies and anticipate the future to perceive the action evolution within a video segment and improve the detection accuracy. However, the existing paradigm ignores category-level modeling and does...
[ { "created": "Wed, 2 Mar 2022 12:13:08 GMT", "version": "v1" }, { "created": "Tue, 22 Mar 2022 13:31:53 GMT", "version": "v2" } ]
2022-03-23
[ [ "Yang", "Le", "" ], [ "Han", "Junwei", "" ], [ "Zhang", "Dingwen", "" ] ]
Online action detection has attracted increasing research interests in recent years. Current works model historical dependencies and anticipate the future to perceive the action evolution within a video segment and improve the detection accuracy. However, the existing paradigm ignores category-level modeling and does n...
2002.02450
Pavel Gulyaev
Pavel Gulyaev, Eugenia Elistratova, Vasily Konovalov, Yuri Kuratov, Leonid Pugachev, Mikhail Burtsev
Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker
null
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dialogue State Tracking (DST) is a core component of virtual assistants such as Alexa or Siri. To accomplish various tasks, these assistants need to support an increasing number of services and APIs. The Schema-Guided State Tracking track of the 8th Dialogue System Technology Challenge highlighted the DST problem for...
[ { "created": "Wed, 5 Feb 2020 22:56:12 GMT", "version": "v1" } ]
2020-02-10
[ [ "Gulyaev", "Pavel", "" ], [ "Elistratova", "Eugenia", "" ], [ "Konovalov", "Vasily", "" ], [ "Kuratov", "Yuri", "" ], [ "Pugachev", "Leonid", "" ], [ "Burtsev", "Mikhail", "" ] ]
Dialogue State Tracking (DST) is a core component of virtual assistants such as Alexa or Siri. To accomplish various tasks, these assistants need to support an increasing number of services and APIs. The Schema-Guided State Tracking track of the 8th Dialogue System Technology Challenge highlighted the DST problem for u...
2405.13721
Zhiwei Bai
Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
34 pages
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Matrix factorization models have been extensively studied as a valuable test-bed for understanding the implicit biases of overparameterized models. Although both low nuclear norm and low rank regularization have been studied for these models, a unified understanding of when, how, and why they achieve different implic...
[ { "created": "Wed, 22 May 2024 15:12:14 GMT", "version": "v1" } ]
2024-05-24
[ [ "Bai", "Zhiwei", "" ], [ "Zhao", "Jiajie", "" ], [ "Zhang", "Yaoyu", "" ] ]
Matrix factorization models have been extensively studied as a valuable test-bed for understanding the implicit biases of overparameterized models. Although both low nuclear norm and low rank regularization have been studied for these models, a unified understanding of when, how, and why they achieve different implicit...
1807.08532
Baha Eddine Youcef Belmekki
Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Beno\^it Escrig
Performance Analysis of Cooperative Communications at Road Intersections Using Stochastic Geometry Tools
31 pages, 10 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicular safety communications (VSCs) are known to provide relevant contributions to avoid congestions and prevent road accidents, and more particularly at road intersections since these areas are more prone to accidents. In this context, one of the main impairments that affect the performance of VSCs are interferen...
[ { "created": "Mon, 23 Jul 2018 11:12:26 GMT", "version": "v1" }, { "created": "Sat, 13 Jul 2019 15:39:00 GMT", "version": "v2" }, { "created": "Tue, 26 Nov 2019 17:14:05 GMT", "version": "v3" } ]
2019-11-27
[ [ "Belmekki", "Baha Eddine Youcef", "" ], [ "Hamza", "Abdelkrim", "" ], [ "Escrig", "Benoît", "" ] ]
Vehicular safety communications (VSCs) are known to provide relevant contributions to avoid congestions and prevent road accidents, and more particularly at road intersections since these areas are more prone to accidents. In this context, one of the main impairments that affect the performance of VSCs are interference...
1503.03283
Ayineedi Venkateswarlu
Ayineedi Venkateswarlu, Santanu Sarkar and A. Sai Mali
On Acyclic Edge-Coloring of Complete Bipartite Graphs
17 pages, 10 figures
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An acyclic edge-coloring of a graph is a proper edge-coloring without bichromatic ($2$-colored) cycles. The acyclic chromatic index of a graph $G$, denoted by $a'(G)$, is the least integer $k$ such that $G$ admits an acyclic edge-coloring using $k$ colors. Let $\Delta = \Delta(G)$ denote the maximum degree of a verte...
[ { "created": "Wed, 11 Mar 2015 11:41:31 GMT", "version": "v1" } ]
2015-03-12
[ [ "Venkateswarlu", "Ayineedi", "" ], [ "Sarkar", "Santanu", "" ], [ "Mali", "A. Sai", "" ] ]
An acyclic edge-coloring of a graph is a proper edge-coloring without bichromatic ($2$-colored) cycles. The acyclic chromatic index of a graph $G$, denoted by $a'(G)$, is the least integer $k$ such that $G$ admits an acyclic edge-coloring using $k$ colors. Let $\Delta = \Delta(G)$ denote the maximum degree of a vertex ...
2212.03559
Xihong Yang
Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive deep graph clustering (CDGC) leverages the power of contrastive learning to group nodes into different clusters. The quality of contrastive samples is crucial for achieving better performance, making augmentation techniques a key factor in the process. However, the augmentation samples in existing methods...
[ { "created": "Wed, 7 Dec 2022 10:19:39 GMT", "version": "v1" }, { "created": "Thu, 28 Sep 2023 13:14:07 GMT", "version": "v2" }, { "created": "Tue, 6 Aug 2024 15:56:31 GMT", "version": "v3" } ]
2024-08-07
[ [ "Yang", "Xihong", "" ], [ "Min", "Erxue", "" ], [ "Liang", "Ke", "" ], [ "Liu", "Yue", "" ], [ "Wang", "Siwei", "" ], [ "Zhou", "Sihang", "" ], [ "Wu", "Huijun", "" ], [ "Liu", "Xinwang", ""...
Contrastive deep graph clustering (CDGC) leverages the power of contrastive learning to group nodes into different clusters. The quality of contrastive samples is crucial for achieving better performance, making augmentation techniques a key factor in the process. However, the augmentation samples in existing methods a...
2101.02839
Haojian Zhang
Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang
Unsupervised Domain Adaptation of Black-Box Source Models
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Unsupervised domain adaptation (UDA) aims to learn models for a target domain of unlabeled data by transferring knowledge from a labeled source domain. In the traditional UDA setting, labeled source data are assumed to be available for adaptation. Due to increasing concerns for data privacy, source-free UDA is highly...
[ { "created": "Fri, 8 Jan 2021 04:00:49 GMT", "version": "v1" }, { "created": "Sun, 28 Mar 2021 02:13:16 GMT", "version": "v2" } ]
2021-03-30
[ [ "Zhang", "Haojian", "" ], [ "Zhang", "Yabin", "" ], [ "Jia", "Kui", "" ], [ "Zhang", "Lei", "" ] ]
Unsupervised domain adaptation (UDA) aims to learn models for a target domain of unlabeled data by transferring knowledge from a labeled source domain. In the traditional UDA setting, labeled source data are assumed to be available for adaptation. Due to increasing concerns for data privacy, source-free UDA is highly a...
1312.5307
Bryan Ford
Joan Feigenbaum and Bryan Ford
Seeking Anonymity in an Internet Panopticon
8 pages, 10 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Obtaining and maintaining anonymity on the Internet is challenging. The state of the art in deployed tools, such as Tor, uses onion routing (OR) to relay encrypted connections on a detour passing through randomly chosen relays scattered around the Internet. Unfortunately, OR is known to be vulnerable at least in prin...
[ { "created": "Wed, 18 Dec 2013 20:50:35 GMT", "version": "v1" }, { "created": "Sat, 29 Mar 2014 15:33:45 GMT", "version": "v2" }, { "created": "Sat, 3 Jan 2015 01:10:43 GMT", "version": "v3" } ]
2015-01-06
[ [ "Feigenbaum", "Joan", "" ], [ "Ford", "Bryan", "" ] ]
Obtaining and maintaining anonymity on the Internet is challenging. The state of the art in deployed tools, such as Tor, uses onion routing (OR) to relay encrypted connections on a detour passing through randomly chosen relays scattered around the Internet. Unfortunately, OR is known to be vulnerable at least in princi...
2206.13381
Su Yuchen
Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, and Rui Yao
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask
This paper has been accepted by IEEE Transactions on Multimedia
null
10.1109/TMM.2022.3186431
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes in font, size, color, and orientation. Most existing regression based methods resort to regress the masks or contour points of text regions to model the text instances. However, regressing the complete masks requires high t...
[ { "created": "Mon, 27 Jun 2022 15:42:25 GMT", "version": "v1" } ]
2022-06-28
[ [ "Su", "Yuchen", "" ], [ "Shao", "Zhiwen", "" ], [ "Zhou", "Yong", "" ], [ "Meng", "Fanrong", "" ], [ "Zhu", "Hancheng", "" ], [ "Liu", "Bing", "" ], [ "Yao", "Rui", "" ] ]
Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes in font, size, color, and orientation. Most existing regression based methods resort to regress the masks or contour points of text regions to model the text instances. However, regressing the complete masks requires high tra...
1311.3048
Ofer Neiman
Ittai Abraham and Cyril Gavoille and Anupam Gupta and Ofer Neiman and Kunal Talwar
Cops, Robbers, and Threatening Skeletons: Padded Decomposition for Minor-Free Graphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that any graph excluding $K_r$ as a minor has can be partitioned into clusters of diameter at most $\Delta$ while removing at most $O(r/\Delta)$ fraction of the edges. This improves over the results of Fakcharoenphol and Talwar, who building on the work of Klein, Plotkin and Rao gave a partitioning that requ...
[ { "created": "Wed, 13 Nov 2013 08:21:04 GMT", "version": "v1" }, { "created": "Sun, 10 Jan 2021 14:46:19 GMT", "version": "v2" } ]
2021-01-12
[ [ "Abraham", "Ittai", "" ], [ "Gavoille", "Cyril", "" ], [ "Gupta", "Anupam", "" ], [ "Neiman", "Ofer", "" ], [ "Talwar", "Kunal", "" ] ]
We prove that any graph excluding $K_r$ as a minor has can be partitioned into clusters of diameter at most $\Delta$ while removing at most $O(r/\Delta)$ fraction of the edges. This improves over the results of Fakcharoenphol and Talwar, who building on the work of Klein, Plotkin and Rao gave a partitioning that requir...
2006.02051
Qiyao Deng
Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li and Zhenan Sun
Reference-guided Face Component Editing
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controlling shapes of high-level semantic facial components (e.g., eyes, nose, mouth), or 2) take manually edited mask or sketch as an intermediate ...
[ { "created": "Wed, 3 Jun 2020 05:34:54 GMT", "version": "v1" }, { "created": "Tue, 14 Jul 2020 13:37:59 GMT", "version": "v2" } ]
2020-07-15
[ [ "Deng", "Qiyao", "" ], [ "Cao", "Jie", "" ], [ "Liu", "Yunfan", "" ], [ "Chai", "Zhenhua", "" ], [ "Li", "Qi", "" ], [ "Sun", "Zhenan", "" ] ]
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controlling shapes of high-level semantic facial components (e.g., eyes, nose, mouth), or 2) take manually edited mask or sketch as an intermediate re...
2109.13404
Yunchou Xing
Yunchou Xing and Theodore S. Rappaport
Millimeter Wave and Terahertz Urban Microcell Propagation Measurements and Models
5 pages, 2 figures, and 3 tables
IEEE Communications Letters 2021
10.1109/LCOMM.2021.3117900
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Comparisons of outdoor Urban Microcell (UMi) large-scale path loss models, root mean square (RMS) delay spreads (DS), angular spreads (AS), and the number of spatial beams for extensive measurements performed at 28, 38, 73, and 142 GHz are presented in this letter. Measurement campaigns were conducted from 2011-2020 ...
[ { "created": "Tue, 28 Sep 2021 00:08:56 GMT", "version": "v1" } ]
2021-10-26
[ [ "Xing", "Yunchou", "" ], [ "Rappaport", "Theodore S.", "" ] ]
Comparisons of outdoor Urban Microcell (UMi) large-scale path loss models, root mean square (RMS) delay spreads (DS), angular spreads (AS), and the number of spatial beams for extensive measurements performed at 28, 38, 73, and 142 GHz are presented in this letter. Measurement campaigns were conducted from 2011-2020 in...
2211.09443
Amirmohammad Farzaneh
Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon
LEAST: a Low-Energy Adaptive Scalable Tree-based routing protocol for Wireless Sensor Networks
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Routing is one of the critical and ongoing challenges in Wireless Sensor Networks. The main challenge has always been to have a routing protocol that reduces the communication overhead, hence saving the energy of the sensors in the network. Hierarchical routing protocols are known to be the most energy-efficient rout...
[ { "created": "Thu, 17 Nov 2022 10:11:42 GMT", "version": "v1" } ]
2022-11-18
[ [ "Farzaneh", "Amirmohammad", "" ], [ "Badiu", "Mihai-Alin", "" ], [ "Coon", "Justin P.", "" ] ]
Routing is one of the critical and ongoing challenges in Wireless Sensor Networks. The main challenge has always been to have a routing protocol that reduces the communication overhead, hence saving the energy of the sensors in the network. Hierarchical routing protocols are known to be the most energy-efficient routin...
2105.14923
Bestoun Ahmed Dr.
Kamal Z. Zamli, Md. Abdul Kader, Saiful Azad, Bestoun S. Ahmed
Hybrid Henry Gas Solubility Optimization Algorithm with Dynamic Cluster-to-Algorithm Mapping for Search-based Software Engineering Problems
31 pages
Neural Computing and Applications 2021
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper discusses a new variant of the Henry Gas Solubility Optimization (HGSO) Algorithm, called Hybrid HGSO (HHGSO). Unlike its predecessor, HHGSO allows multiple clusters serving different individual meta-heuristic algorithms (i.e., with its own defined parameters and local best) to coexist within the same popu...
[ { "created": "Mon, 31 May 2021 12:42:15 GMT", "version": "v1" } ]
2021-06-01
[ [ "Zamli", "Kamal Z.", "" ], [ "Kader", "Md. Abdul", "" ], [ "Azad", "Saiful", "" ], [ "Ahmed", "Bestoun S.", "" ] ]
This paper discusses a new variant of the Henry Gas Solubility Optimization (HGSO) Algorithm, called Hybrid HGSO (HHGSO). Unlike its predecessor, HHGSO allows multiple clusters serving different individual meta-heuristic algorithms (i.e., with its own defined parameters and local best) to coexist within the same popula...
2308.14710
Xudong Wang
Xudong Wang and Ishan Misra and Ziyun Zeng and Rohit Girdhar and Trevor Darrell
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
Preprint. Code: https://github.com/facebookresearch/CutLER
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing approaches to unsupervised video instance segmentation typically rely on motion estimates and experience difficulties tracking small or divergent motions. We present VideoCutLER, a simple method for unsupervised multi-instance video segmentation without using motion-based learning signals like optical flow o...
[ { "created": "Mon, 28 Aug 2023 17:10:12 GMT", "version": "v1" } ]
2023-08-29
[ [ "Wang", "Xudong", "" ], [ "Misra", "Ishan", "" ], [ "Zeng", "Ziyun", "" ], [ "Girdhar", "Rohit", "" ], [ "Darrell", "Trevor", "" ] ]
Existing approaches to unsupervised video instance segmentation typically rely on motion estimates and experience difficulties tracking small or divergent motions. We present VideoCutLER, a simple method for unsupervised multi-instance video segmentation without using motion-based learning signals like optical flow or ...
2405.12865
Noriyoshi Sukegawa
Yuki Uehara, Naoki Nishimura, Yilin Li, Jie Yang, Deddy Jobson, Koya Ohashi, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano
Robust portfolio optimization model for electronic coupon allocation
9 pages, 17 figures, AAAI-2024 Workshop on Artificial Intelligence for Operations Research
null
null
null
cs.IR math.OC
http://creativecommons.org/licenses/by/4.0/
Currently, many e-commerce websites issue online/electronic coupons as an effective tool for promoting sales of various products and services. We focus on the problem of optimally allocating coupons to customers subject to a budget constraint on an e-commerce website. We apply a robust portfolio optimization model ba...
[ { "created": "Tue, 21 May 2024 15:30:25 GMT", "version": "v1" } ]
2024-05-22
[ [ "Uehara", "Yuki", "" ], [ "Nishimura", "Naoki", "" ], [ "Li", "Yilin", "" ], [ "Yang", "Jie", "" ], [ "Jobson", "Deddy", "" ], [ "Ohashi", "Koya", "" ], [ "Matsumoto", "Takeshi", "" ], [ "Sukegawa",...
Currently, many e-commerce websites issue online/electronic coupons as an effective tool for promoting sales of various products and services. We focus on the problem of optimally allocating coupons to customers subject to a budget constraint on an e-commerce website. We apply a robust portfolio optimization model base...
2209.01943
Jianhui Ma
Jianhui Ma, Qiang Li, Zilong Liu, Linsong Du, Hongyang Chen, and Nirwan Ansari
Jamming Modulation: An Active Anti-Jamming Scheme
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Providing quality communications under adversarial electronic attacks, e.g., broadband jamming attacks, is a challenging task. Unlike state-of-the-art approaches which treat jamming signals as destructive interference, this paper presents a novel active anti-jamming (AAJ) scheme for a jammed channel to enhance the co...
[ { "created": "Mon, 5 Sep 2022 12:48:20 GMT", "version": "v1" } ]
2022-09-07
[ [ "Ma", "Jianhui", "" ], [ "Li", "Qiang", "" ], [ "Liu", "Zilong", "" ], [ "Du", "Linsong", "" ], [ "Chen", "Hongyang", "" ], [ "Ansari", "Nirwan", "" ] ]
Providing quality communications under adversarial electronic attacks, e.g., broadband jamming attacks, is a challenging task. Unlike state-of-the-art approaches which treat jamming signals as destructive interference, this paper presents a novel active anti-jamming (AAJ) scheme for a jammed channel to enhance the comm...
2405.14548
Vinicius Luiz Santos Silva
Vinicius L S Silva, Geraldine Regnier, Pablo Salinas, Claire E Heaney, Matthew D Jackson, Christopher C Pain
Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reactive transport in porous media plays a pivotal role in subsurface reservoir processes, influencing fluid properties and geochemical characteristics. However, coupling fluid flow and transport with geochemical reactions is computationally intensive, requiring geochemical calculations at each grid cell and each tim...
[ { "created": "Thu, 23 May 2024 13:28:10 GMT", "version": "v1" } ]
2024-05-24
[ [ "Silva", "Vinicius L S", "" ], [ "Regnier", "Geraldine", "" ], [ "Salinas", "Pablo", "" ], [ "Heaney", "Claire E", "" ], [ "Jackson", "Matthew D", "" ], [ "Pain", "Christopher C", "" ] ]
Reactive transport in porous media plays a pivotal role in subsurface reservoir processes, influencing fluid properties and geochemical characteristics. However, coupling fluid flow and transport with geochemical reactions is computationally intensive, requiring geochemical calculations at each grid cell and each time ...
1808.07151
Luke Rodriguez
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
MobilityMirror: Bias-Adjusted Transportation Datasets
Presented at BIDU 2018 workshop and published in Springer Communications in Computer and Information Science vol 926
Big Social Data and Urban Computing. BiDU 2018. Communications in Computer and Information Science, vol 926. Springer, Cham
10.1007/978-3-030-11238-7_2
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe customized synthetic datasets for publishing mobility data. Private companies are providing new transportation modalities, and their data is of high value for integrative transportation research, policy enforcement, and public accountability. However, these companies are disincentivized from sharing data ...
[ { "created": "Tue, 21 Aug 2018 22:19:48 GMT", "version": "v1" }, { "created": "Thu, 23 Aug 2018 01:28:03 GMT", "version": "v2" }, { "created": "Fri, 25 Jan 2019 00:27:21 GMT", "version": "v3" } ]
2019-01-28
[ [ "Rodriguez", "Luke", "" ], [ "Salimi", "Babak", "" ], [ "Ping", "Haoyue", "" ], [ "Stoyanovich", "Julia", "" ], [ "Howe", "Bill", "" ] ]
We describe customized synthetic datasets for publishing mobility data. Private companies are providing new transportation modalities, and their data is of high value for integrative transportation research, policy enforcement, and public accountability. However, these companies are disincentivized from sharing data no...
2007.07320
Tiansi Dong
Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers
Learning Syllogism with Euler Neural-Networks
16 pages, 6 figures
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional neural networks represent everything as a vector, and are able to approximate a subset of logical reasoning to a certain degree. As basic logic relations are better represented by topological relations between regions, we propose a novel neural network that represents everything as a ball and is able to l...
[ { "created": "Tue, 14 Jul 2020 19:35:35 GMT", "version": "v1" }, { "created": "Mon, 20 Jul 2020 09:58:24 GMT", "version": "v2" } ]
2020-07-21
[ [ "Dong", "Tiansi", "" ], [ "Li", "Chengjiang", "" ], [ "Bauckhage", "Christian", "" ], [ "Li", "Juanzi", "" ], [ "Wrobel", "Stefan", "" ], [ "Cremers", "Armin B.", "" ] ]
Traditional neural networks represent everything as a vector, and are able to approximate a subset of logical reasoning to a certain degree. As basic logic relations are better represented by topological relations between regions, we propose a novel neural network that represents everything as a ball and is able to lea...
1704.03421
Malika Bendechache
Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi
Efficient Large Scale Clustering based on Data Partitioning
10 pages
Data Science and Advanced Analytics (DSAA), 2016 IEEE International Conference on, 612--621, 2016
10.1109/DSAA.2016.70
null
cs.DB cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering techniques are very attractive for extracting and identifying patterns in datasets. However, their application to very large spatial datasets presents numerous challenges such as high-dimensionality data, heterogeneity, and high complexity of some algorithms. For instance, some algorithms may have linear c...
[ { "created": "Tue, 11 Apr 2017 17:05:01 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 15:23:31 GMT", "version": "v2" } ]
2018-02-27
[ [ "Bendechache", "Malika", "" ], [ "Le-Khac", "Nhien-An", "" ], [ "Kechadi", "M-Tahar", "" ] ]
Clustering techniques are very attractive for extracting and identifying patterns in datasets. However, their application to very large spatial datasets presents numerous challenges such as high-dimensionality data, heterogeneity, and high complexity of some algorithms. For instance, some algorithms may have linear com...
2306.06184
Aldo Pacchiano
Nataly Brukhim, Miroslav Dudik, Aldo Pacchiano, Robert Schapire
A Unified Model and Dimension for Interactive Estimation
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study an abstract framework for interactive learning called interactive estimation in which the goal is to estimate a target from its "similarity'' to points queried by the learner. We introduce a combinatorial measure called dissimilarity dimension which largely captures learnability in our model. We present a si...
[ { "created": "Fri, 9 Jun 2023 18:21:04 GMT", "version": "v1" } ]
2023-06-13
[ [ "Brukhim", "Nataly", "" ], [ "Dudik", "Miroslav", "" ], [ "Pacchiano", "Aldo", "" ], [ "Schapire", "Robert", "" ] ]
We study an abstract framework for interactive learning called interactive estimation in which the goal is to estimate a target from its "similarity'' to points queried by the learner. We introduce a combinatorial measure called dissimilarity dimension which largely captures learnability in our model. We present a simp...
2408.05792
Jiafeng Xia
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu and Ning Gu
GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have demonstrated effectiveness in collaborative filtering tasks due to their ability to extract powerful structural features. However, combining the graph features extracted from user-item interactions and auxiliary features extracted from user genres and item properties remains a challe...
[ { "created": "Sun, 11 Aug 2024 14:47:34 GMT", "version": "v1" } ]
2024-08-13
[ [ "Xia", "Jiafeng", "" ], [ "Li", "Dongsheng", "" ], [ "Gu", "Hansu", "" ], [ "Lu", "Tun", "" ], [ "Gu", "Ning", "" ] ]
Graph Neural Networks (GNNs) have demonstrated effectiveness in collaborative filtering tasks due to their ability to extract powerful structural features. However, combining the graph features extracted from user-item interactions and auxiliary features extracted from user genres and item properties remains a challeng...
1708.05520
Steffen Rechner
Steffen Rechner
An Optimal Realization Algorithm for Bipartite Graphs with Degrees in Prescribed Intervals
Submitted to the Journal of Discrete Algorithms
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of constructing a bipartite graph whose degrees lie in prescribed intervals. Necessary and sufficient conditions for the existence of such graphs are well-known. However, existing realization algorithms suffer from large running times. In this paper, we present a realization algorithm that con...
[ { "created": "Fri, 18 Aug 2017 06:58:37 GMT", "version": "v1" } ]
2017-08-21
[ [ "Rechner", "Steffen", "" ] ]
We consider the problem of constructing a bipartite graph whose degrees lie in prescribed intervals. Necessary and sufficient conditions for the existence of such graphs are well-known. However, existing realization algorithms suffer from large running times. In this paper, we present a realization algorithm that const...
2202.02705
Sumedh Vilas Datar
Sumedh Vilas Datar and, Jesus Gonzales Bernal
Portrait Segmentation Using Deep Learning
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
A portrait is a painting, drawing, photograph, or engraving of a person, especially one depicting only the face or head and shoulders. In the digital world the portrait of a person is captured by having the person as a subject in the image and capturing the image of the person such that the background is blurred. DSL...
[ { "created": "Sun, 6 Feb 2022 04:28:15 GMT", "version": "v1" } ]
2022-02-08
[ [ "and", "Sumedh Vilas Datar", "" ], [ "Bernal", "Jesus Gonzales", "" ] ]
A portrait is a painting, drawing, photograph, or engraving of a person, especially one depicting only the face or head and shoulders. In the digital world the portrait of a person is captured by having the person as a subject in the image and capturing the image of the person such that the background is blurred. DSLRs...
2311.09787
EPTCS
Francesco Belardinelli (Imperial College London), Angelo Ferrando (University of Genoa), Vadim Malvone (Telecom Paris)
3vLTL: A Tool to Generate Automata for Three-valued LTL
In Proceedings FMAS 2023, arXiv:2311.08987
EPTCS 395, 2023, pp. 180-187
10.4204/EPTCS.395.13
null
cs.FL cs.AI
http://creativecommons.org/licenses/by/4.0/
Multi-valued logics have a long tradition in the literature on system verification, including run-time verification. However, comparatively fewer model-checking tools have been developed for multi-valued specification languages. We present 3vLTL, a tool to generate Buchi automata from formulas in Linear-time Temporal...
[ { "created": "Thu, 16 Nov 2023 11:04:38 GMT", "version": "v1" } ]
2023-11-17
[ [ "Belardinelli", "Francesco", "", "Imperial College London" ], [ "Ferrando", "Angelo", "", "University of Genoa" ], [ "Malvone", "Vadim", "", "Telecom Paris" ] ]
Multi-valued logics have a long tradition in the literature on system verification, including run-time verification. However, comparatively fewer model-checking tools have been developed for multi-valued specification languages. We present 3vLTL, a tool to generate Buchi automata from formulas in Linear-time Temporal L...
2004.12496
Amit Levi
Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten
Learning and Testing Junta Distributions with Subcube Conditioning
null
null
null
null
cs.DS cs.DM cs.LG math.PR math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problems of learning and testing junta distributions on $\{-1,1\}^n$ with respect to the uniform distribution, where a distribution $p$ is a $k$-junta if its probability mass function $p(x)$ depends on a subset of at most $k$ variables. The main contribution is an algorithm for finding relevant coordinat...
[ { "created": "Sun, 26 Apr 2020 22:52:53 GMT", "version": "v1" } ]
2020-04-28
[ [ "Chen", "Xi", "" ], [ "Jayaram", "Rajesh", "" ], [ "Levi", "Amit", "" ], [ "Waingarten", "Erik", "" ] ]
We study the problems of learning and testing junta distributions on $\{-1,1\}^n$ with respect to the uniform distribution, where a distribution $p$ is a $k$-junta if its probability mass function $p(x)$ depends on a subset of at most $k$ variables. The main contribution is an algorithm for finding relevant coordinates...
2010.07987
Nadezhda Chirkova
Nadezhda Chirkova, Sergey Troshin
Empirical Study of Transformers for Source Code
Published at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2021 (ESEC/FSE'21)
null
10.1145/3468264.3468611
null
cs.LG cs.CL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Initially developed for natural language processing (NLP), Transformers are now widely used for source code processing, due to the format similarity between source code and text. In contrast to natural language, source code is strictly structured, i.e., it follows the syntax of the programming language. Several recen...
[ { "created": "Thu, 15 Oct 2020 19:09:15 GMT", "version": "v1" }, { "created": "Thu, 24 Jun 2021 11:32:30 GMT", "version": "v2" } ]
2021-06-25
[ [ "Chirkova", "Nadezhda", "" ], [ "Troshin", "Sergey", "" ] ]
Initially developed for natural language processing (NLP), Transformers are now widely used for source code processing, due to the format similarity between source code and text. In contrast to natural language, source code is strictly structured, i.e., it follows the syntax of the programming language. Several recent ...
1109.2984
Baoqi Huang Mr
Baoqi Huang, Tao Li, Brian D.O. Anderson, Changbin Yu
A Statistically Modelling Method for Performance Limits in Sensor Localization
null
Automatica, Volume 49, Issue 2, 2013, Pages 503-509
10.1016/j.automatica.2012.11.011
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study performance limits of sensor localization from a novel perspective. Specifically, we consider the Cramer-Rao Lower Bound (CRLB) in single-hop sensor localization using measurements from received signal strength (RSS), time of arrival (TOA) and bearing, respectively, but differently from the ex...
[ { "created": "Wed, 14 Sep 2011 03:40:31 GMT", "version": "v1" } ]
2018-01-30
[ [ "Huang", "Baoqi", "" ], [ "Li", "Tao", "" ], [ "Anderson", "Brian D. O.", "" ], [ "Yu", "Changbin", "" ] ]
In this paper, we study performance limits of sensor localization from a novel perspective. Specifically, we consider the Cramer-Rao Lower Bound (CRLB) in single-hop sensor localization using measurements from received signal strength (RSS), time of arrival (TOA) and bearing, respectively, but differently from the exis...
2101.06883
Guangyu Huo
Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, and Baocai Yin
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
null
IEEE Transactions on Knowledge and Data Engineering 2021
10.1109/TKDE.2021.3125020
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the powerful learning ability of deep convolutional networks, deep clustering methods can extract the most discriminative information from individual data and produce more satisfactory clustering results. However, existing deep clustering methods usually ignore the relationship between the data. Fortunately, the...
[ { "created": "Mon, 18 Jan 2021 05:21:59 GMT", "version": "v1" } ]
2022-01-10
[ [ "Huo", "Guangyu", "" ], [ "Zhang", "Yong", "" ], [ "Gao", "Junbin", "" ], [ "Wang", "Boyue", "" ], [ "Hu", "Yongli", "" ], [ "Yin", "Baocai", "" ] ]
With the powerful learning ability of deep convolutional networks, deep clustering methods can extract the most discriminative information from individual data and produce more satisfactory clustering results. However, existing deep clustering methods usually ignore the relationship between the data. Fortunately, the g...
2408.00395
Cansu Betin Onur
Cansu Betin Onur
A Zero-Knowledge Proof of Knowledge for Subgroup Distance Problem
null
null
null
null
cs.CR math.GR
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this study, we introduce a novel zero-knowledge identification scheme based on the hardness of the subgroup distance problem in the Hamming metric. The proposed protocol, named Subgroup Distance Zero Knowledge Proof (SDZKP), employs a cryptographically secure pseudorandom number generator to mask secrets and utili...
[ { "created": "Thu, 1 Aug 2024 09:04:50 GMT", "version": "v1" } ]
2024-08-02
[ [ "Onur", "Cansu Betin", "" ] ]
In this study, we introduce a novel zero-knowledge identification scheme based on the hardness of the subgroup distance problem in the Hamming metric. The proposed protocol, named Subgroup Distance Zero Knowledge Proof (SDZKP), employs a cryptographically secure pseudorandom number generator to mask secrets and utilize...
2103.04357
Lei Sun
Lei Sun
IRON: Invariant-based Highly Robust Point Cloud Registration
null
null
null
null
cs.CV cs.RO
http://creativecommons.org/publicdomain/zero/1.0/
In this paper, we present IRON (Invariant-based global Robust estimation and OptimizatioN), a non-minimal and highly robust solution for point cloud registration with a great number of outliers among the correspondences. To realize this, we decouple the registration problem into the estimation of scale, rotation and ...
[ { "created": "Sun, 7 Mar 2021 13:46:56 GMT", "version": "v1" }, { "created": "Wed, 24 Mar 2021 07:46:14 GMT", "version": "v2" } ]
2021-04-21
[ [ "Sun", "Lei", "" ] ]
In this paper, we present IRON (Invariant-based global Robust estimation and OptimizatioN), a non-minimal and highly robust solution for point cloud registration with a great number of outliers among the correspondences. To realize this, we decouple the registration problem into the estimation of scale, rotation and tr...
2112.02749
Suzhen Wang
Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning
Accepted by AAAI 2022
AAAI 2022
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Audio-driven one-shot talking face generation methods are usually trained on video resources of various persons. However, their created videos often suffer unnatural mouth shapes and asynchronous lips because those methods struggle to learn a consistent speech style from different speakers. We observe that it would b...
[ { "created": "Mon, 6 Dec 2021 02:53:51 GMT", "version": "v1" } ]
2021-12-07
[ [ "Wang", "Suzhen", "" ], [ "Li", "Lincheng", "" ], [ "Ding", "Yu", "" ], [ "Yu", "Xin", "" ] ]
Audio-driven one-shot talking face generation methods are usually trained on video resources of various persons. However, their created videos often suffer unnatural mouth shapes and asynchronous lips because those methods struggle to learn a consistent speech style from different speakers. We observe that it would be ...
2206.04789
Tianxin Wei
Tianxin Wei, Jingrui He
Comprehensive Fair Meta-learned Recommender System
Accepted to SIGKDD 2022
null
10.1145/3534678.3539269
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recommender systems, one common challenge is the cold-start problem, where interactions are very limited for fresh users in the systems. To address this challenge, recently, many works introduce the meta-optimization idea into the recommendation scenarios, i.e. learning to learn the user preference by only a few p...
[ { "created": "Thu, 9 Jun 2022 22:48:35 GMT", "version": "v1" } ]
2022-06-13
[ [ "Wei", "Tianxin", "" ], [ "He", "Jingrui", "" ] ]
In recommender systems, one common challenge is the cold-start problem, where interactions are very limited for fresh users in the systems. To address this challenge, recently, many works introduce the meta-optimization idea into the recommendation scenarios, i.e. learning to learn the user preference by only a few pas...
1311.4809
Siddhartan Govindasamy
Siddhartan Govindasamy
Uplink Performance of Large Optimum-Combining Antenna Arrays in Poisson-Cell Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial processing for multiple access. The number of active mobiles per cell is limi...
[ { "created": "Tue, 19 Nov 2013 17:17:16 GMT", "version": "v1" } ]
2013-11-20
[ [ "Govindasamy", "Siddhartan", "" ] ]
The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial processing for multiple access. The number of active mobiles per cell is limite...
1601.03055
Yuqing Hou
Yuqing Hou, Zhouchen Lin, Jin-ge Yao
Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors
4 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Annotating images with tags is useful for indexing and retrieving images. However, many available annotation data include missing or inaccurate annotations. In this paper, we propose an image annotation framework which sequentially performs tag completion and refinement. We utilize the subspace property of data via s...
[ { "created": "Tue, 12 Jan 2016 21:03:43 GMT", "version": "v1" }, { "created": "Tue, 1 Mar 2016 04:41:53 GMT", "version": "v2" }, { "created": "Tue, 21 Jun 2016 15:48:06 GMT", "version": "v3" } ]
2016-06-22
[ [ "Hou", "Yuqing", "" ], [ "Lin", "Zhouchen", "" ], [ "Yao", "Jin-ge", "" ] ]
Annotating images with tags is useful for indexing and retrieving images. However, many available annotation data include missing or inaccurate annotations. In this paper, we propose an image annotation framework which sequentially performs tag completion and refinement. We utilize the subspace property of data via spa...
2305.13864
Qiong Chen
Yong Yang and Qiong Chen and Yuan Feng and Tianlin Huang
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
Accepted to CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set. However, the extracted knowledge is insufficient to cope with the variable intra-class differences since the knowledge...
[ { "created": "Tue, 23 May 2023 09:36:27 GMT", "version": "v1" } ]
2023-05-24
[ [ "Yang", "Yong", "" ], [ "Chen", "Qiong", "" ], [ "Feng", "Yuan", "" ], [ "Huang", "Tianlin", "" ] ]
Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set. However, the extracted knowledge is insufficient to cope with the variable intra-class differences since the knowledge i...
2406.04910
Binglei Lou
Binglei Lou, Richard Rademacher, David Boland, Philip H.W. Leong
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs
To be published in the International Conference on Field-Programmable Logic and Applications (FPL) 2024
null
null
null
cs.LG cs.AI cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modelled using LUTs, help maximize this promise of offering ultra-low latency and high area efficiency on FPGAs. Unfortunately, LUT resource usage scales ...
[ { "created": "Fri, 7 Jun 2024 13:00:57 GMT", "version": "v1" } ]
2024-06-10
[ [ "Lou", "Binglei", "" ], [ "Rademacher", "Richard", "" ], [ "Boland", "David", "" ], [ "Leong", "Philip H. W.", "" ] ]
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modelled using LUTs, help maximize this promise of offering ultra-low latency and high area efficiency on FPGAs. Unfortunately, LUT resource usage scales ex...
2212.03191
Yi Wang
Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
technical report
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on image-level pretraining and adpation, which are limited for dynamic and complex video-level understanding tasks. To fill the gap, we pres...
[ { "created": "Tue, 6 Dec 2022 18:09:49 GMT", "version": "v1" }, { "created": "Wed, 7 Dec 2022 12:20:55 GMT", "version": "v2" } ]
2022-12-08
[ [ "Wang", "Yi", "" ], [ "Li", "Kunchang", "" ], [ "Li", "Yizhuo", "" ], [ "He", "Yinan", "" ], [ "Huang", "Bingkun", "" ], [ "Zhao", "Zhiyu", "" ], [ "Zhang", "Hongjie", "" ], [ "Xu", "Jilan", ...
The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on image-level pretraining and adpation, which are limited for dynamic and complex video-level understanding tasks. To fill the gap, we presen...
2407.09766
Stephen Jimmy
Stephen Jimmy and Kalkidan Berhane and Kevin Muhammad
User Digital Twin-Driven Video Streaming for Customized Preferences and Adaptive Transcoding
null
null
null
null
cs.MM cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the rapidly evolving field of multimedia services, video streaming has become increasingly prevalent, demanding innovative solutions to enhance user experience and system efficiency. This paper introduces a novel approach that integrates user digital twins-a dynamic digital representation of a user's preferences a...
[ { "created": "Sat, 13 Jul 2024 04:15:02 GMT", "version": "v1" } ]
2024-07-16
[ [ "Jimmy", "Stephen", "" ], [ "Berhane", "Kalkidan", "" ], [ "Muhammad", "Kevin", "" ] ]
In the rapidly evolving field of multimedia services, video streaming has become increasingly prevalent, demanding innovative solutions to enhance user experience and system efficiency. This paper introduces a novel approach that integrates user digital twins-a dynamic digital representation of a user's preferences and...
1211.4935
Keehang Kwon
Keehang Kwon and Daeseong Kang
Mutually Exclusive Rules in LogicWeb
4 pages
null
null
null
cs.LO cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
LogicWeb has traditionally lacked devices for expressing mutually exclusive clauses. We address this limitation by adopting choice-conjunctive clauses of the form $D_0 \adc D_1$ where $D_0, D_1$ are Horn clauses and $\adc$ is a linear logic connective. Solving a goal $G$ using $D_0 \adc D_1$ -- $\prov(D_0 \adc D_1,G)...
[ { "created": "Wed, 21 Nov 2012 04:54:05 GMT", "version": "v1" } ]
2012-11-22
[ [ "Kwon", "Keehang", "" ], [ "Kang", "Daeseong", "" ] ]
LogicWeb has traditionally lacked devices for expressing mutually exclusive clauses. We address this limitation by adopting choice-conjunctive clauses of the form $D_0 \adc D_1$ where $D_0, D_1$ are Horn clauses and $\adc$ is a linear logic connective. Solving a goal $G$ using $D_0 \adc D_1$ -- $\prov(D_0 \adc D_1,G)$ ...
0907.0340
James Whitacre
James M. Whitacre, Hussein A. Abbass, Ruhul Sarker, Axel Bender, Stephen Baker
Strategic Positioning in Tactical Scenario Planning
null
Genetic And Evolutionary Computation Conference 2008, Pages 1081-1088
10.1145/1389095.1389293
null
cs.NE cs.AI
http://creativecommons.org/licenses/by/3.0/
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for optimization that has not been explored in great detail and involves a number of interesting challenges which are distinct from traditional o...
[ { "created": "Thu, 2 Jul 2009 10:56:52 GMT", "version": "v1" } ]
2009-07-03
[ [ "Whitacre", "James M.", "" ], [ "Abbass", "Hussein A.", "" ], [ "Sarker", "Ruhul", "" ], [ "Bender", "Axel", "" ], [ "Baker", "Stephen", "" ] ]
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for optimization that has not been explored in great detail and involves a number of interesting challenges which are distinct from traditional opt...
1709.07807
Juan Pablo Vigneaux
Juan Pablo Vigneaux
Information structures and their cohomology
54 pages, 1 figure. This improved version was finally published in Theory and Applications of Categories. It took into account multiple suggestion of the reviewer
Theory and Applications of Categories, Vol. 35, 2020, No. 38, pp 1476-1529
null
null
cs.IT math.AT math.IT math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the category of information structures, whose objects are suitable diagrams of measurable sets that encode the possible outputs of a given family of observables and their mutual relationships of refinement; they serve as mathematical models of contextuality in classical and quantum settings. Each informa...
[ { "created": "Fri, 22 Sep 2017 15:19:11 GMT", "version": "v1" }, { "created": "Fri, 12 Oct 2018 09:39:13 GMT", "version": "v2" }, { "created": "Tue, 15 Oct 2019 17:09:25 GMT", "version": "v3" }, { "created": "Mon, 8 Nov 2021 18:52:00 GMT", "version": "v4" } ]
2021-11-09
[ [ "Vigneaux", "Juan Pablo", "" ] ]
We introduce the category of information structures, whose objects are suitable diagrams of measurable sets that encode the possible outputs of a given family of observables and their mutual relationships of refinement; they serve as mathematical models of contextuality in classical and quantum settings. Each informati...
2009.10990
Rohun Kshirsagar
Rohun Kshirsagar, Li-Yen Hsu, Vatshank Chaturvedi, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Renzo Frigato, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Arnold Lee, Miguel Alvarado
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
Accepted for publication in The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), in the Innovative Applications of Artificial Intelligence track. This is the extended version with some stylistic fixes from the first posting and complete author list
null
null
null
cs.CY cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Health insurance companies cover half of the United States population through commercial employer-sponsored health plans and pay 1.2 trillion US dollars every year to cover medical expenses for their members. The actuary and underwriter roles at a health insurance company serve to assess which risks to take on and ho...
[ { "created": "Wed, 23 Sep 2020 08:07:33 GMT", "version": "v1" }, { "created": "Sat, 27 Feb 2021 22:47:22 GMT", "version": "v2" } ]
2021-03-02
[ [ "Kshirsagar", "Rohun", "" ], [ "Hsu", "Li-Yen", "" ], [ "Chaturvedi", "Vatshank", "" ], [ "Greenberg", "Charles H.", "" ], [ "McClelland", "Matthew", "" ], [ "Mohan", "Anushadevi", "" ], [ "Shende", "Wideet", ...
Health insurance companies cover half of the United States population through commercial employer-sponsored health plans and pay 1.2 trillion US dollars every year to cover medical expenses for their members. The actuary and underwriter roles at a health insurance company serve to assess which risks to take on and how ...
2401.15443
Zibin Dong
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li and Yan Zheng
DiffuserLite: Towards Real-time Diffusion Planning
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Diffusion planning has been recognized as an effective decision-making paradigm in various domains. The capability of conditionally generating high-quality long-horizon trajectories makes it a promising research direction. However, existing diffusion planning methods suffer from low decision-making frequencies due to...
[ { "created": "Sat, 27 Jan 2024 15:30:49 GMT", "version": "v1" }, { "created": "Tue, 30 Jan 2024 04:43:27 GMT", "version": "v2" }, { "created": "Wed, 31 Jan 2024 02:50:41 GMT", "version": "v3" }, { "created": "Fri, 2 Feb 2024 08:57:16 GMT", "version": "v4" } ]
2024-02-05
[ [ "Dong", "Zibin", "" ], [ "Hao", "Jianye", "" ], [ "Yuan", "Yifu", "" ], [ "Ni", "Fei", "" ], [ "Wang", "Yitian", "" ], [ "Li", "Pengyi", "" ], [ "Zheng", "Yan", "" ] ]
Diffusion planning has been recognized as an effective decision-making paradigm in various domains. The capability of conditionally generating high-quality long-horizon trajectories makes it a promising research direction. However, existing diffusion planning methods suffer from low decision-making frequencies due to t...
2002.03749
Hartmut Feld
Hartmut Feld, Bruno Mirbach, Jigyasa Katrolia, Mohamed Selim, Oliver Wasenm\"uller, Didier Stricker
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions
corrected typos and bad reference
null
null
null
cs.CV cs.HC cs.LG cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a test platform for visual in-cabin scene analysis and occupant monitoring functions. The test platform is based on a driving simulator developed at the DFKI, consisting of a realistic in-cabin mock-up and a wide-angle projection system for a realistic driving experience. The platform has been equipped wit...
[ { "created": "Tue, 28 Jan 2020 07:15:50 GMT", "version": "v1" }, { "created": "Tue, 11 Feb 2020 12:27:42 GMT", "version": "v2" } ]
2020-02-12
[ [ "Feld", "Hartmut", "" ], [ "Mirbach", "Bruno", "" ], [ "Katrolia", "Jigyasa", "" ], [ "Selim", "Mohamed", "" ], [ "Wasenmüller", "Oliver", "" ], [ "Stricker", "Didier", "" ] ]
We present a test platform for visual in-cabin scene analysis and occupant monitoring functions. The test platform is based on a driving simulator developed at the DFKI, consisting of a realistic in-cabin mock-up and a wide-angle projection system for a realistic driving experience. The platform has been equipped with ...
0910.4049
Nizami Gasilov
N. Gasilov, \c{S}ahin Emrah Amrahov, A. Golayoglu Fatullayev, H. I. Karakas, O. Akin
A Geometric Approach to Solve Fuzzy Linear Systems
null
CMES: Computer Modeling in Engineering & Sciences, Vol. 75, No. 3, pp. 189-204, 2011
10.3970/cmes.2011.075.189
null
cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, linear systems with a crisp real coefficient matrix and with a vector of fuzzy triangular numbers on the right-hand side are studied. A new method, which is based on the geometric representations of linear transformations, is proposed to find solutions. The method uses the fact that a vector of fuzzy t...
[ { "created": "Wed, 21 Oct 2009 11:20:37 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2011 08:06:58 GMT", "version": "v2" } ]
2011-11-03
[ [ "Gasilov", "N.", "" ], [ "Amrahov", "Şahin Emrah", "" ], [ "Fatullayev", "A. Golayoglu", "" ], [ "Karakas", "H. I.", "" ], [ "Akin", "O.", "" ] ]
In this paper, linear systems with a crisp real coefficient matrix and with a vector of fuzzy triangular numbers on the right-hand side are studied. A new method, which is based on the geometric representations of linear transformations, is proposed to find solutions. The method uses the fact that a vector of fuzzy tri...
2111.02338
Ran Liu
Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
To be published in Neurips 2021
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Meaningful and simplified representations of neural activity can yield insights into how and what information is being processed within a neural circuit. However, without labels, finding representations that reveal the link between the brain and behavior can be challenging. Here, we introduce a novel unsupervised app...
[ { "created": "Wed, 3 Nov 2021 16:39:43 GMT", "version": "v1" } ]
2021-11-04
[ [ "Liu", "Ran", "" ], [ "Azabou", "Mehdi", "" ], [ "Dabagia", "Max", "" ], [ "Lin", "Chi-Heng", "" ], [ "Azar", "Mohammad Gheshlaghi", "" ], [ "Hengen", "Keith B.", "" ], [ "Valko", "Michal", "" ], [ ...
Meaningful and simplified representations of neural activity can yield insights into how and what information is being processed within a neural circuit. However, without labels, finding representations that reveal the link between the brain and behavior can be challenging. Here, we introduce a novel unsupervised appro...
1104.4155
Sergiy Vorobyov A.
Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, John Thompson, Sergiy A. Vorobyov, Feng Zhao, Hailin Xiao, and Xiaohu Ge
Interference Mitigation for Cognitive Radio MIMO Systems Based on Practical Precoding
12 pages, 4 figures, submitted to the IEEE Trans. Wireless Communications in April 2011
Z. Chen, C.-X. Wang, X. Hong, J. Thompson, S.A. Vorobyov, and et al, "Interference mitigation for cognitive radio MIMO systems based on practical precoding," Invited Paper, Physical Communication, vol. 9, pp. 308-315, Dec. 2013
10.1016/j.phycom.2012.04.007
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose two subspace-projection-based precoding schemes, namely, full-projection (FP)- and partial-projection (PP)-based precoding, for a cognitive radio multiple-input multiple-output (CR-MIMO) network to mitigate its interference to a primary time-division-duplexing (TDD) system. The proposed prec...
[ { "created": "Thu, 21 Apr 2011 01:42:27 GMT", "version": "v1" } ]
2016-11-17
[ [ "Chen", "Zengmao", "" ], [ "Wang", "Cheng-Xiang", "" ], [ "Hong", "Xuemin", "" ], [ "Thompson", "John", "" ], [ "Vorobyov", "Sergiy A.", "" ], [ "Zhao", "Feng", "" ], [ "Xiao", "Hailin", "" ], [ "Ge...
In this paper, we propose two subspace-projection-based precoding schemes, namely, full-projection (FP)- and partial-projection (PP)-based precoding, for a cognitive radio multiple-input multiple-output (CR-MIMO) network to mitigate its interference to a primary time-division-duplexing (TDD) system. The proposed precod...
2301.10960
Alireza Hashemi
Alireza Hashemi, Hernan Makse
Visiting Distant Neighbors in Graph Convolutional Networks
null
null
null
null
cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We extend the graph convolutional network method for deep learning on graph data to higher order in terms of neighboring nodes. In order to construct representations for a node in a graph, in addition to the features of the node and its immediate neighboring nodes, we also include more distant nodes in the calculatio...
[ { "created": "Thu, 26 Jan 2023 06:37:11 GMT", "version": "v1" }, { "created": "Sun, 29 Jan 2023 06:18:23 GMT", "version": "v2" }, { "created": "Wed, 22 May 2024 19:57:15 GMT", "version": "v3" } ]
2024-05-24
[ [ "Hashemi", "Alireza", "" ], [ "Makse", "Hernan", "" ] ]
We extend the graph convolutional network method for deep learning on graph data to higher order in terms of neighboring nodes. In order to construct representations for a node in a graph, in addition to the features of the node and its immediate neighboring nodes, we also include more distant nodes in the calculations...
2002.02702
Martin Trapp
Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
null
null
null
null
cs.LG cs.PL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the preliminary high-level design and features of DynamicPPL.jl, a modular library providing a lightning-fast infrastructure for probabilistic programming. Besides a computational performance that is often close to or better than Stan, DynamicPPL provides an intuitive DSL that allows the rapid development ...
[ { "created": "Fri, 7 Feb 2020 10:21:49 GMT", "version": "v1" } ]
2020-02-10
[ [ "Tarek", "Mohamed", "" ], [ "Xu", "Kai", "" ], [ "Trapp", "Martin", "" ], [ "Ge", "Hong", "" ], [ "Ghahramani", "Zoubin", "" ] ]
We present the preliminary high-level design and features of DynamicPPL.jl, a modular library providing a lightning-fast infrastructure for probabilistic programming. Besides a computational performance that is often close to or better than Stan, DynamicPPL provides an intuitive DSL that allows the rapid development of...
2405.13360
Zhenting Wang
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
ICML 2024
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Latent generative models (e.g., Stable Diffusion) have become more and more popular, but concerns have arisen regarding potential misuse related to images generated by these models. It is, therefore, necessary to analyze the origin of images by inferring if a particular image was generated by a specific latent genera...
[ { "created": "Wed, 22 May 2024 05:33:47 GMT", "version": "v1" } ]
2024-05-24
[ [ "Wang", "Zhenting", "" ], [ "Sehwag", "Vikash", "" ], [ "Chen", "Chen", "" ], [ "Lyu", "Lingjuan", "" ], [ "Metaxas", "Dimitris N.", "" ], [ "Ma", "Shiqing", "" ] ]
Latent generative models (e.g., Stable Diffusion) have become more and more popular, but concerns have arisen regarding potential misuse related to images generated by these models. It is, therefore, necessary to analyze the origin of images by inferring if a particular image was generated by a specific latent generati...
2404.12512
Yubo Gao
Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar
Proteus: Preserving Model Confidentiality during Graph Optimizations
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep learning (DL) models have revolutionized numerous domains, yet optimizing them for computational efficiency remains a challenging endeavor. Development of new DL models typically involves two parties: the model developers and performance optimizers. The collaboration between the parties often necessitates the mo...
[ { "created": "Thu, 18 Apr 2024 21:23:25 GMT", "version": "v1" } ]
2024-04-22
[ [ "Gao", "Yubo", "" ], [ "Haghifam", "Maryam", "" ], [ "Giannoula", "Christina", "" ], [ "Tu", "Renbo", "" ], [ "Pekhimenko", "Gennady", "" ], [ "Vijaykumar", "Nandita", "" ] ]
Deep learning (DL) models have revolutionized numerous domains, yet optimizing them for computational efficiency remains a challenging endeavor. Development of new DL models typically involves two parties: the model developers and performance optimizers. The collaboration between the parties often necessitates the mode...
2305.11744
Revanth Reddy
Revanth Gangi Reddy, Pradeep Dasigi, Md Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
ReFIT: Relevance Feedback from a Reranker during Inference
Preprint
null
null
null
cs.IR cs.CL
http://creativecommons.org/licenses/by/4.0/
Retrieve-and-rerank is a prevalent framework in neural information retrieval, wherein a bi-encoder network initially retrieves a pre-defined number of candidates (e.g., K=100), which are then reranked by a more powerful cross-encoder model. While the reranker often yields improved candidate scores compared to the ret...
[ { "created": "Fri, 19 May 2023 15:30:33 GMT", "version": "v1" }, { "created": "Tue, 28 May 2024 17:12:02 GMT", "version": "v2" } ]
2024-05-29
[ [ "Reddy", "Revanth Gangi", "" ], [ "Dasigi", "Pradeep", "" ], [ "Sultan", "Md Arafat", "" ], [ "Cohan", "Arman", "" ], [ "Sil", "Avirup", "" ], [ "Ji", "Heng", "" ], [ "Hajishirzi", "Hannaneh", "" ] ]
Retrieve-and-rerank is a prevalent framework in neural information retrieval, wherein a bi-encoder network initially retrieves a pre-defined number of candidates (e.g., K=100), which are then reranked by a more powerful cross-encoder model. While the reranker often yields improved candidate scores compared to the retri...
1711.04451
Jianyu Wang
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan Yuille
Visual Concepts and Compositional Voting
It is accepted by Annals of Mathematical Sciences and Applications
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is very attractive to formulate vision in terms of pattern theory \cite{Mumford2010pattern}, where patterns are defined hierarchically by compositions of elementary building blocks. But applying pattern theory to real world images is currently less successful than discriminative methods such as deep networks. Deep...
[ { "created": "Mon, 13 Nov 2017 07:29:04 GMT", "version": "v1" } ]
2017-11-15
[ [ "Wang", "Jianyu", "" ], [ "Zhang", "Zhishuai", "" ], [ "Xie", "Cihang", "" ], [ "Zhou", "Yuyin", "" ], [ "Premachandran", "Vittal", "" ], [ "Zhu", "Jun", "" ], [ "Xie", "Lingxi", "" ], [ "Yuille", ...
It is very attractive to formulate vision in terms of pattern theory \cite{Mumford2010pattern}, where patterns are defined hierarchically by compositions of elementary building blocks. But applying pattern theory to real world images is currently less successful than discriminative methods such as deep networks. Deep n...
1508.00761
Tingshao Zhu
Shun Li, Changye Zhu, Liqing Cui, Nan Zhao, Baobin Li and Tingshao Zhu
Recognition of Emotions using Kinects
15 pages, 4 figures
null
null
null
cs.CY cs.CV cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person's emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new ref...
[ { "created": "Tue, 4 Aug 2015 13:03:27 GMT", "version": "v1" } ]
2015-08-05
[ [ "Li", "Shun", "" ], [ "Zhu", "Changye", "" ], [ "Cui", "Liqing", "" ], [ "Zhao", "Nan", "" ], [ "Li", "Baobin", "" ], [ "Zhu", "Tingshao", "" ] ]
Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person's emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new refer...
1911.03567
Zuheng Ming
Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions
accepted by the ICDAR2019 workshop CBDAR2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy and very high speed in unconstrained applications. However, due to the lack of public datasets and due to the variation of the orientation ...
[ { "created": "Fri, 8 Nov 2019 22:39:06 GMT", "version": "v1" } ]
2019-11-12
[ [ "Bakkali", "Souhail", "" ], [ "Ming", "Zuheng", "" ], [ "Luqman", "Muhammad Muzzamil", "" ], [ "Burie", "Jean-Christophe", "" ] ]
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy and very high speed in unconstrained applications. However, due to the lack of public datasets and due to the variation of the orientation of...
2206.14863
Ruijia Cheng
Ruijia Cheng, Alison Smith-Renner, Ke Zhang, Joel R. Tetreault, Alejandro Jaimes
Mapping the Design Space of Human-AI Interaction in Text Summarization
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic text summarization systems commonly involve humans for preparing data or evaluating model performance, yet, there lacks a systematic understanding of humans' roles, experience, and needs when interacting with or being assisted by AI. From a human-centered perspective, we map the design opportunities and con...
[ { "created": "Wed, 29 Jun 2022 19:03:25 GMT", "version": "v1" } ]
2022-07-01
[ [ "Cheng", "Ruijia", "" ], [ "Smith-Renner", "Alison", "" ], [ "Zhang", "Ke", "" ], [ "Tetreault", "Joel R.", "" ], [ "Jaimes", "Alejandro", "" ] ]
Automatic text summarization systems commonly involve humans for preparing data or evaluating model performance, yet, there lacks a systematic understanding of humans' roles, experience, and needs when interacting with or being assisted by AI. From a human-centered perspective, we map the design opportunities and consi...
2405.04049
Hamed Poursiami
Hamed Poursiami, Ihsen Alouani, Maryam Parsa
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
7 pages, 7 figures
null
null
null
cs.CR cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As spiking neural networks (SNNs) gain traction in deploying neuromorphic computing solutions, protecting their intellectual property (IP) has become crucial. Without adequate safeguards, proprietary SNN architectures are at risk of theft, replication, or misuse, which could lead to significant financial losses for t...
[ { "created": "Tue, 7 May 2024 06:42:30 GMT", "version": "v1" } ]
2024-05-08
[ [ "Poursiami", "Hamed", "" ], [ "Alouani", "Ihsen", "" ], [ "Parsa", "Maryam", "" ] ]
As spiking neural networks (SNNs) gain traction in deploying neuromorphic computing solutions, protecting their intellectual property (IP) has become crucial. Without adequate safeguards, proprietary SNN architectures are at risk of theft, replication, or misuse, which could lead to significant financial losses for the...
1701.06664
Katina Kralevska
Danilo Gligoroski, Katina Kralevska, Rune E. Jensen, Per Simonsen
Repair Duality with Locally Repairable and Locally Regenerating Codes
Accepted as a full paper for publication at IEEE DataCom 2017
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Orlando, FL, 2017, pp. 979-984
10.1109/DASC-PICom-DataCom-CyberSciTec.2017.162
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We construct an explicit family of locally repairable and locally regenerating codes whose existence was proven in a recent work by Kamath et al. about codes with local regeneration but no explicit construction was given. This explicit family of codes is based on HashTag codes. HashTag codes are recently defined vect...
[ { "created": "Mon, 23 Jan 2017 22:50:54 GMT", "version": "v1" }, { "created": "Sat, 28 Jan 2017 11:12:27 GMT", "version": "v2" }, { "created": "Sat, 22 Apr 2017 11:18:37 GMT", "version": "v3" }, { "created": "Wed, 30 Aug 2017 09:29:12 GMT", "version": "v4" } ]
2020-02-14
[ [ "Gligoroski", "Danilo", "" ], [ "Kralevska", "Katina", "" ], [ "Jensen", "Rune E.", "" ], [ "Simonsen", "Per", "" ] ]
We construct an explicit family of locally repairable and locally regenerating codes whose existence was proven in a recent work by Kamath et al. about codes with local regeneration but no explicit construction was given. This explicit family of codes is based on HashTag codes. HashTag codes are recently defined vector...
1912.01452
Jia-Hong Huang
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring
Assessing the Robustness of Visual Question Answering Models
24 pages, 13 figures, International Journal of Computer Vision (IJCV) [under review]. arXiv admin note: substantial text overlap with arXiv:1711.06232, arXiv:1709.04625
null
null
null
cs.CV cs.CL
http://creativecommons.org/licenses/by/4.0/
Deep neural networks have been playing an essential role in the task of Visual Question Answering (VQA). Until recently, their accuracy has been the main focus of research. Now there is a trend toward assessing the robustness of these models against adversarial attacks by evaluating the accuracy of these models under...
[ { "created": "Sat, 30 Nov 2019 09:32:38 GMT", "version": "v1" }, { "created": "Thu, 3 Mar 2022 14:17:46 GMT", "version": "v2" } ]
2022-03-04
[ [ "Huang", "Jia-Hong", "" ], [ "Alfadly", "Modar", "" ], [ "Ghanem", "Bernard", "" ], [ "Worring", "Marcel", "" ] ]
Deep neural networks have been playing an essential role in the task of Visual Question Answering (VQA). Until recently, their accuracy has been the main focus of research. Now there is a trend toward assessing the robustness of these models against adversarial attacks by evaluating the accuracy of these models under i...
1006.0551
EPTCS
Xizhong Zheng (Arcadia University), Ning Zhong (University of Cincinnati)
Proceedings Seventh International Conference on Computability and Complexity in Analysis
null
EPTCS 24, 2010
10.4204/EPTCS.24
null
cs.CC cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This volume of the Electronic Proceedings in Theoretical Computer Science (EPTCS) contains extended abstracts of talks to be presented at the Seventh International Conference on Computability and Complexity in Analysis (CCA 2010) that will take place in Zhenjiang, China, June 21-25, 2010. This conference is the seven...
[ { "created": "Thu, 3 Jun 2010 04:22:39 GMT", "version": "v1" } ]
2010-06-04
[ [ "Zheng", "Xizhong", "", "Arcadia University" ], [ "Zhong", "Ning", "", "University of\n Cincinnati" ] ]
This volume of the Electronic Proceedings in Theoretical Computer Science (EPTCS) contains extended abstracts of talks to be presented at the Seventh International Conference on Computability and Complexity in Analysis (CCA 2010) that will take place in Zhenjiang, China, June 21-25, 2010. This conference is the sevente...
2208.02311
Amar Kumar
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios Tsaftaris, and Tal Arbel
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
Accepted to the MIABID workshop at MICCAI 2022
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The discovery of patient-specific imaging markers that are predictive of future disease outcomes can help us better understand individual-level heterogeneity of disease evolution. In fact, deep learning models that can provide data-driven personalized markers are much more likely to be adopted in medical practice. In...
[ { "created": "Wed, 3 Aug 2022 18:58:45 GMT", "version": "v1" } ]
2022-08-05
[ [ "Kumar", "Amar", "" ], [ "Hu", "Anjun", "" ], [ "Nichyporuk", "Brennan", "" ], [ "Falet", "Jean-Pierre R.", "" ], [ "Arnold", "Douglas L.", "" ], [ "Tsaftaris", "Sotirios", "" ], [ "Arbel", "Tal", "" ] ]
The discovery of patient-specific imaging markers that are predictive of future disease outcomes can help us better understand individual-level heterogeneity of disease evolution. In fact, deep learning models that can provide data-driven personalized markers are much more likely to be adopted in medical practice. In t...
1907.02562
Hang Hu
Xiaolong Yang, Tzu-Hao Huang, Hang Hu, Shuangyue Yu, Sainan Zhang, Xianlian Zhou, Alessandra Carriero, Guang Yue, and Hao Su
Spine-Inspired Continuum Soft Exoskeleton for Stoop Lifting Assistance
8 pages, 13 figures
IROS 2019
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Back injuries are the most prevalent work-related musculoskeletal disorders and represent a major cause of disability. Although innovations in wearable robots aim to alleviate this hazard, the majority of existing exoskeletons are obtrusive because the rigid linkage design limits natural movement, thus causing ergono...
[ { "created": "Thu, 4 Jul 2019 18:44:44 GMT", "version": "v1" } ]
2019-07-08
[ [ "Yang", "Xiaolong", "" ], [ "Huang", "Tzu-Hao", "" ], [ "Hu", "Hang", "" ], [ "Yu", "Shuangyue", "" ], [ "Zhang", "Sainan", "" ], [ "Zhou", "Xianlian", "" ], [ "Carriero", "Alessandra", "" ], [ "Yue...
Back injuries are the most prevalent work-related musculoskeletal disorders and represent a major cause of disability. Although innovations in wearable robots aim to alleviate this hazard, the majority of existing exoskeletons are obtrusive because the rigid linkage design limits natural movement, thus causing ergonomi...
1009.2893
Juha Kontinen
Juha Kontinen (University of Helsinki, Finland), Heribert Vollmer (University of Hannover, Germany)
On Second-Order Monadic Monoidal and Groupoidal Quantifiers
null
Logical Methods in Computer Science, Volume 6, Issue 3 (September 20, 2010) lmcs:1006
10.2168/LMCS-6(3:25)2010
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study logics defined in terms of second-order monadic monoidal and groupoidal quantifiers. These are generalized quantifiers defined by monoid and groupoid word-problems, equivalently, by regular and context-free languages. We give a computational classification of the expressive power of these logics over strings...
[ { "created": "Wed, 15 Sep 2010 10:30:50 GMT", "version": "v1" }, { "created": "Mon, 20 Sep 2010 08:22:57 GMT", "version": "v2" } ]
2015-07-01
[ [ "Kontinen", "Juha", "", "University of Helsinki, Finland" ], [ "Vollmer", "Heribert", "", "University of Hannover, Germany" ] ]
We study logics defined in terms of second-order monadic monoidal and groupoidal quantifiers. These are generalized quantifiers defined by monoid and groupoid word-problems, equivalently, by regular and context-free languages. We give a computational classification of the expressive power of these logics over strings w...
1907.03050
Soheil Khorram
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
Jointly Aligning and Predicting Continuous Emotion Annotations
IEEE Transactions on Affective Computing
null
null
null
cs.LG cs.HC eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time-continuous dimensional descriptions of emotions (e.g., arousal, valence) allow researchers to characterize short-time changes and to capture long-term trends in emotion expression. However, continuous emotion labels are generally not synchronized with the input speech signal due to delays caused by reaction-time...
[ { "created": "Fri, 5 Jul 2019 23:49:49 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2019 22:40:43 GMT", "version": "v2" } ]
2019-07-22
[ [ "Khorram", "Soheil", "" ], [ "McInnis", "Melvin G", "" ], [ "Provost", "Emily Mower", "" ] ]
Time-continuous dimensional descriptions of emotions (e.g., arousal, valence) allow researchers to characterize short-time changes and to capture long-term trends in emotion expression. However, continuous emotion labels are generally not synchronized with the input speech signal due to delays caused by reaction-time, ...
2211.06479
Ron Fulbright
Ron Fulbright
Calculating Cognitive Augmentation, A Case Study
14 pages; 4 figures
HCII 2019: Augmented Cognition; Lecture Notes in Computer Science book series (LNAI,volume 11580)
10.1007/978-3-030-22419-6_38
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We are entering an era in which humans will increasingly work in partnership and collaboration with artificially intelligent entities. For millennia, tools have augmented human physical and mental performance but in the coming era of cognitive systems, human cognitive performance will be augmented. We are only just n...
[ { "created": "Fri, 11 Nov 2022 20:48:29 GMT", "version": "v1" } ]
2022-11-15
[ [ "Fulbright", "Ron", "" ] ]
We are entering an era in which humans will increasingly work in partnership and collaboration with artificially intelligent entities. For millennia, tools have augmented human physical and mental performance but in the coming era of cognitive systems, human cognitive performance will be augmented. We are only just now...
2102.01020
Yan Uehara De Moraes
Carlos Pedroso, Yan Uehara de Moraes, Michele Nogueira, Aldri Santos
Relational Consensus-Based Cooperative Task Allocation Management for IIoT-Health Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
IIoT services focused on industry-oriented services often require objects run more than one task. IIoT objects poses the challenge of distributing and managing task allocation among them. The fairness of task allocation brings flexible network reconfiguration and maximizes the tasks to be performed. Although existing...
[ { "created": "Mon, 1 Feb 2021 17:53:11 GMT", "version": "v1" } ]
2021-02-02
[ [ "Pedroso", "Carlos", "" ], [ "de Moraes", "Yan Uehara", "" ], [ "Nogueira", "Michele", "" ], [ "Santos", "Aldri", "" ] ]
IIoT services focused on industry-oriented services often require objects run more than one task. IIoT objects poses the challenge of distributing and managing task allocation among them. The fairness of task allocation brings flexible network reconfiguration and maximizes the tasks to be performed. Although existing a...
2305.04177
Anastasiia Razdaibiedina
Anastasia Razdaibiedina, Alexander Brechalov
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents
ACL 2023 (short paper)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Learning semantically meaningful representations from scientific documents can facilitate academic literature search and improve performance of recommendation systems. Pre-trained language models have been shown to learn rich textual representations, yet they cannot provide powerful document-level representations for...
[ { "created": "Sun, 7 May 2023 03:29:55 GMT", "version": "v1" } ]
2023-05-09
[ [ "Razdaibiedina", "Anastasia", "" ], [ "Brechalov", "Alexander", "" ] ]
Learning semantically meaningful representations from scientific documents can facilitate academic literature search and improve performance of recommendation systems. Pre-trained language models have been shown to learn rich textual representations, yet they cannot provide powerful document-level representations for s...
2207.13541
Wim Martens
Wim Martens, Matthias Niewerth, Tina Popp, Stijn Vansummeren, Domagoj Vrgoc
Representing Paths in Graph Database Pattern Matching
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern graph database query languages such as GQL, SQL/PGQ, and their academic predecessor G-Core promote paths to first-class citizens in the sense that paths that match regular path queries can be returned to the user. This brings a number of challenges in terms of efficiency, caused by the fact that graphs can hav...
[ { "created": "Wed, 27 Jul 2022 14:28:39 GMT", "version": "v1" } ]
2022-07-28
[ [ "Martens", "Wim", "" ], [ "Niewerth", "Matthias", "" ], [ "Popp", "Tina", "" ], [ "Vansummeren", "Stijn", "" ], [ "Vrgoc", "Domagoj", "" ] ]
Modern graph database query languages such as GQL, SQL/PGQ, and their academic predecessor G-Core promote paths to first-class citizens in the sense that paths that match regular path queries can be returned to the user. This brings a number of challenges in terms of efficiency, caused by the fact that graphs can have ...
1806.10570
Anna Aljanaki
Anna Aljanaki, Gerhard Widmer
Modeling Majorness as a Perceptual Property in Music from Listener Ratings
short paper for ICMPC proceedings
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the tasks of automatic music emotion recognition, genre recognition, music recommendation it is helpful to be able to extract mode from any section of a musical piece as a perceived amount of major or minor mode (majorness) inside that section, perceived as a whole (one or several melodies and any harmony present...
[ { "created": "Wed, 27 Jun 2018 17:05:48 GMT", "version": "v1" } ]
2018-06-28
[ [ "Aljanaki", "Anna", "" ], [ "Widmer", "Gerhard", "" ] ]
For the tasks of automatic music emotion recognition, genre recognition, music recommendation it is helpful to be able to extract mode from any section of a musical piece as a perceived amount of major or minor mode (majorness) inside that section, perceived as a whole (one or several melodies and any harmony present)....
2007.03631
Uma Girish
Uma Girish, Ran Raz, Wei Zhan
Lower Bounds for XOR of Forrelations
null
null
null
null
cs.CC quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Forrelation problem, introduced by Aaronson [A10] and Aaronson and Ambainis [AA15], is a well studied problem in the context of separating quantum and classical models. Variants of this problem were used to give exponential separations between quantum and classical query complexity [A10, AA15]; quantum query comp...
[ { "created": "Tue, 7 Jul 2020 17:05:09 GMT", "version": "v1" } ]
2020-07-08
[ [ "Girish", "Uma", "" ], [ "Raz", "Ran", "" ], [ "Zhan", "Wei", "" ] ]
The Forrelation problem, introduced by Aaronson [A10] and Aaronson and Ambainis [AA15], is a well studied problem in the context of separating quantum and classical models. Variants of this problem were used to give exponential separations between quantum and classical query complexity [A10, AA15]; quantum query comple...
2005.13290
Tim Schatto-Eckrodt
Thorsten Quandt, Svenja Boberg, Tim Schatto-Eckrodt, Lena Frischlich
Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis -- A Computational Content Analysis
Corrected typos, 7 figures, 4 tables, 1 ancillary file
null
null
Muenster Online Research (MOR) Working Paper 2/2020,
cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The unfolding of the COVID-19 pandemic has been an unprecedented challenge for news media around the globe. While journalism is meant to process yet unknown events by design, the dynamically evolving situation affected all aspects of life in such profound ways that even the routines of crisis reporting seemed to be i...
[ { "created": "Wed, 27 May 2020 11:39:15 GMT", "version": "v1" }, { "created": "Thu, 28 May 2020 15:28:13 GMT", "version": "v2" } ]
2020-05-29
[ [ "Quandt", "Thorsten", "" ], [ "Boberg", "Svenja", "" ], [ "Schatto-Eckrodt", "Tim", "" ], [ "Frischlich", "Lena", "" ] ]
The unfolding of the COVID-19 pandemic has been an unprecedented challenge for news media around the globe. While journalism is meant to process yet unknown events by design, the dynamically evolving situation affected all aspects of life in such profound ways that even the routines of crisis reporting seemed to be ins...
1508.05133
Tamir Hazan
Tamir Hazan and Tommi Jaakkola
Steps Toward Deep Kernel Methods from Infinite Neural Networks
null
null
null
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contemporary deep neural networks exhibit impressive results on practical problems. These networks generalize well although their inherent capacity may extend significantly beyond the number of training examples. We analyze this behavior in the context of deep, infinite neural networks. We show that deep infinite lay...
[ { "created": "Thu, 20 Aug 2015 21:35:52 GMT", "version": "v1" }, { "created": "Wed, 2 Sep 2015 18:27:36 GMT", "version": "v2" } ]
2015-09-03
[ [ "Hazan", "Tamir", "" ], [ "Jaakkola", "Tommi", "" ] ]
Contemporary deep neural networks exhibit impressive results on practical problems. These networks generalize well although their inherent capacity may extend significantly beyond the number of training examples. We analyze this behavior in the context of deep, infinite neural networks. We show that deep infinite layer...
cs/0607133
Peter Turney
Robert Ewaschuk, Peter D. Turney
Self-Replication and Self-Assembly for Manufacturing
Java code available at http://purl.org/net/johnnyvon/
Artificial Life, (2006), 12, 411-433
10.1162/artl.2006.12.3.411
NRC-48760
cs.MA cs.CE
null
It has been argued that a central objective of nanotechnology is to make products inexpensively, and that self-replication is an effective approach to very low-cost manufacturing. The research presented here is intended to be a step towards this vision. We describe a computational simulation of nanoscale machines flo...
[ { "created": "Thu, 27 Jul 2006 17:55:16 GMT", "version": "v1" } ]
2020-08-20
[ [ "Ewaschuk", "Robert", "" ], [ "Turney", "Peter D.", "" ] ]
It has been argued that a central objective of nanotechnology is to make products inexpensively, and that self-replication is an effective approach to very low-cost manufacturing. The research presented here is intended to be a step towards this vision. We describe a computational simulation of nanoscale machines float...
2104.08575
Hangqi Zhou
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Super-resolution (SR) is an ill-posed problem, which means that infinitely many high-resolution (HR) images can be degraded to the same low-resolution (LR) image. To study the one-to-many stochastic SR mapping, we implicitly represent the non-local self-similarity of natural images and develop a Variational Sparse fr...
[ { "created": "Sat, 17 Apr 2021 15:36:24 GMT", "version": "v1" } ]
2021-04-20
[ [ "Zhou", "Hangqi", "" ], [ "Huang", "Chao", "" ], [ "Gao", "Shangqi", "" ], [ "Zhuang", "Xiahai", "" ] ]
Super-resolution (SR) is an ill-posed problem, which means that infinitely many high-resolution (HR) images can be degraded to the same low-resolution (LR) image. To study the one-to-many stochastic SR mapping, we implicitly represent the non-local self-similarity of natural images and develop a Variational Sparse fram...
1310.6205
Nicolas Trotignon
St\'ephan Thomass\'e, Nicolas Trotignon, Kristina Vuskovi\'c
Parameterized algorithm for weighted independent set problem in bull-free graphs
null
Parameterized algorithm for weighted independent set problem in bull-free graphs. Algorithmica, November 2015, 1--23
10.1007/s00453-015-0083-x
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The maximum stable set problem is NP-hard, even when restricted to triangle-free graphs. In particular, one cannot expect a polynomial time algorithm deciding if a bull-free graph has a stable set of size $k$, when $k$ is part of the instance. Our main result in this paper is to show the existence of an FPT algorithm...
[ { "created": "Wed, 23 Oct 2013 12:36:51 GMT", "version": "v1" }, { "created": "Fri, 21 Nov 2014 12:43:57 GMT", "version": "v2" } ]
2015-11-20
[ [ "Thomassé", "Stéphan", "" ], [ "Trotignon", "Nicolas", "" ], [ "Vusković", "Kristina", "" ] ]
The maximum stable set problem is NP-hard, even when restricted to triangle-free graphs. In particular, one cannot expect a polynomial time algorithm deciding if a bull-free graph has a stable set of size $k$, when $k$ is part of the instance. Our main result in this paper is to show the existence of an FPT algorithm w...
1811.01510
Marc Moreno Maza
Rui-Juan Jing, Marc Moreno-Maza, Delaram Talaashrafi
Complexity Estimates for Fourier-Motzkin Elimination
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a new method for removing all the redundant inequalities generated by Fourier-Motzkin elimination. This method is based on an improved version of Balas' work and can also be used to remove all the redundant inequalities in the input system. Moreover, our method only uses arithmetic operation...
[ { "created": "Mon, 5 Nov 2018 04:41:42 GMT", "version": "v1" }, { "created": "Fri, 10 May 2019 23:20:47 GMT", "version": "v2" } ]
2019-05-14
[ [ "Jing", "Rui-Juan", "" ], [ "Moreno-Maza", "Marc", "" ], [ "Talaashrafi", "Delaram", "" ] ]
In this paper, we propose a new method for removing all the redundant inequalities generated by Fourier-Motzkin elimination. This method is based on an improved version of Balas' work and can also be used to remove all the redundant inequalities in the input system. Moreover, our method only uses arithmetic operations ...
2405.07671
Martin Berglund
Martin Berglund, Willeke Martens, Brink van der Merwe
Constructing a BPE Tokenization DFA
null
null
null
null
cs.FL cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many natural language processing systems operate over tokenizations of text to address the open-vocabulary problem. In this paper, we give and analyze an algorithm for the efficient construction of deterministic finite automata designed to operate directly on tokenizations produced by the popular byte pair encoding t...
[ { "created": "Mon, 13 May 2024 11:59:24 GMT", "version": "v1" } ]
2024-05-14
[ [ "Berglund", "Martin", "" ], [ "Martens", "Willeke", "" ], [ "van der Merwe", "Brink", "" ] ]
Many natural language processing systems operate over tokenizations of text to address the open-vocabulary problem. In this paper, we give and analyze an algorithm for the efficient construction of deterministic finite automata designed to operate directly on tokenizations produced by the popular byte pair encoding tec...
1403.1956
Hanum Putri Permatasari
Hanum Putri Permatasari, Silvia Harlena, Donny Erlangga, Reza Chandra
Effect of Social Media on Website Popularity: Differences between Public and Private Universities in Indonesia
6 pages, 3 figures, 5 tables
World of Computer Science and Information Technology Journal (WCSIT), ISSN: 2221-0741, Vol. 3, No. 2, pp. 32-37, 2013
null
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media has become something that is important to enhance social networking and sharing of information through the website. Social media have not only changed social networking, they provide a valuable tool for social organization, activism, political, healthcare and even academic relations in the university. Th...
[ { "created": "Sat, 8 Mar 2014 10:06:57 GMT", "version": "v1" } ]
2014-03-11
[ [ "Permatasari", "Hanum Putri", "" ], [ "Harlena", "Silvia", "" ], [ "Erlangga", "Donny", "" ], [ "Chandra", "Reza", "" ] ]
Social media has become something that is important to enhance social networking and sharing of information through the website. Social media have not only changed social networking, they provide a valuable tool for social organization, activism, political, healthcare and even academic relations in the university. The ...
2007.03730
Ping-Yeh Chiang
Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein
Detection as Regression: Certified Object Detection by Median Smoothing
null
null
null
null
cs.CV cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the vulnerability of object detectors to adversarial attacks, very few defenses are known to date. While adversarial training can improve the empirical robustness of image classifiers, a direct extension to object detection is very expensive. This work is motivated by recent progress on certified classificati...
[ { "created": "Tue, 7 Jul 2020 18:40:19 GMT", "version": "v1" }, { "created": "Fri, 7 Aug 2020 22:13:31 GMT", "version": "v2" }, { "created": "Wed, 25 Nov 2020 16:43:49 GMT", "version": "v3" }, { "created": "Fri, 25 Feb 2022 14:23:54 GMT", "version": "v4" } ]
2022-02-28
[ [ "Chiang", "Ping-yeh", "" ], [ "Curry", "Michael J.", "" ], [ "Abdelkader", "Ahmed", "" ], [ "Kumar", "Aounon", "" ], [ "Dickerson", "John", "" ], [ "Goldstein", "Tom", "" ] ]
Despite the vulnerability of object detectors to adversarial attacks, very few defenses are known to date. While adversarial training can improve the empirical robustness of image classifiers, a direct extension to object detection is very expensive. This work is motivated by recent progress on certified classification...
1901.05311
Chao Zhai
Chao Zhai, Hehong Zhang, Gaoxi Xiao and Tso-Chien Pan
Contingency Identification of Cascading Failures in Power Transmission Networks
null
null
null
null
cs.SY nlin.AO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigger cascading blackouts of power systems. This paper provides an effective approach to identifying the initial contingency in power transmi...
[ { "created": "Tue, 15 Jan 2019 03:21:24 GMT", "version": "v1" } ]
2019-01-17
[ [ "Zhai", "Chao", "" ], [ "Zhang", "Hehong", "" ], [ "Xiao", "Gaoxi", "" ], [ "Pan", "Tso-Chien", "" ] ]
Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigger cascading blackouts of power systems. This paper provides an effective approach to identifying the initial contingency in power transmiss...
0806.1397
Xianmin Feng
Xianmin Ming, Jiansheng Yang
The Improvement of the Bound on Hash Family
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the bound on three kinds of hash family using the Singleton bound. To $\epsilon-U(N; n, m)$ hash family, in the caes of $n>m^2>1$ and $1\geq\epsilon\geq \epsilon_1(n, m)$, we get that the new bound is better. To $\epsilon-\bigtriangleup U(N; n, m)$ hash family, in the case of $n>m>1$ and $1\ge...
[ { "created": "Mon, 9 Jun 2008 08:26:01 GMT", "version": "v1" } ]
2008-12-18
[ [ "Ming", "Xianmin", "" ], [ "Yang", "Jiansheng", "" ] ]
In this paper, we study the bound on three kinds of hash family using the Singleton bound. To $\epsilon-U(N; n, m)$ hash family, in the caes of $n>m^2>1$ and $1\geq\epsilon\geq \epsilon_1(n, m)$, we get that the new bound is better. To $\epsilon-\bigtriangleup U(N; n, m)$ hash family, in the case of $n>m>1$ and $1\geq\...
1410.7756
Wenliang Du
Xing Jin, Tongbo Luo, Derek G. Tsui, Wenliang Du
Code Injection Attacks on HTML5-based Mobile Apps
In Proceedings of the Third Workshop on Mobile Security Technologies (MoST) 2014 (http://arxiv.org/abs/1410.6674)
null
null
MoST/2014/11
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
HTML5-based mobile apps become more and more popular, mostly because they are much easier to be ported across different mobile platforms than native apps. HTML5-based apps are implemented using the standard web technologies, including HTML5, JavaScript and CSS; they depend on some middlewares, such as PhoneGap, to in...
[ { "created": "Tue, 28 Oct 2014 19:24:11 GMT", "version": "v1" } ]
2014-10-29
[ [ "Jin", "Xing", "" ], [ "Luo", "Tongbo", "" ], [ "Tsui", "Derek G.", "" ], [ "Du", "Wenliang", "" ] ]
HTML5-based mobile apps become more and more popular, mostly because they are much easier to be ported across different mobile platforms than native apps. HTML5-based apps are implemented using the standard web technologies, including HTML5, JavaScript and CSS; they depend on some middlewares, such as PhoneGap, to inte...
2212.07145
Michael Gundall
Michael Gundall, Julius Raphael Stegmann, Christopher Huber, R\"udiger Halfmann, Hans Dieter Schotten
Implementation and Evaluation of the RBIS Protocol in 5G
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
5G and 6G wireless communications allow for novel and disruptive applications. While 5G was strongly focused on improvements on QoS and QoS guarantees that are necessary for industrial deployments, 6G will have a disruptive impact on possible use cases. Here, nearly each use case requires time synchronization of the ...
[ { "created": "Wed, 14 Dec 2022 10:35:50 GMT", "version": "v1" } ]
2022-12-15
[ [ "Gundall", "Michael", "" ], [ "Stegmann", "Julius Raphael", "" ], [ "Huber", "Christopher", "" ], [ "Halfmann", "Rüdiger", "" ], [ "Schotten", "Hans Dieter", "" ] ]
5G and 6G wireless communications allow for novel and disruptive applications. While 5G was strongly focused on improvements on QoS and QoS guarantees that are necessary for industrial deployments, 6G will have a disruptive impact on possible use cases. Here, nearly each use case requires time synchronization of the in...
2107.13190
Aoting Hu
Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Accepted to ACM CCS 2021
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative Adversarial Networks (GAN)-synthesized table publishing lets people privately learn insights without access to the private table. However, existing studies on Membership Inference (MI) Attacks show promising results on disclosing membership of training datasets of GAN-synthesized tables. Different from tho...
[ { "created": "Wed, 28 Jul 2021 06:43:36 GMT", "version": "v1" } ]
2021-07-29
[ [ "Hu", "Aoting", "" ], [ "Xie", "Renjie", "" ], [ "Lu", "Zhigang", "" ], [ "Hu", "Aiqun", "" ], [ "Xue", "Minhui", "" ] ]
Generative Adversarial Networks (GAN)-synthesized table publishing lets people privately learn insights without access to the private table. However, existing studies on Membership Inference (MI) Attacks show promising results on disclosing membership of training datasets of GAN-synthesized tables. Different from those...
2010.01083
Caelan Garrett
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling and Tom\'as Lozano-P\'erez
Integrated Task and Motion Planning
Accepted to the Annual Review of Control, Robotics, and Autonomous Systems. Vol. 4 (Volume publication date May 2021)
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of planning for a robot that operates in environments containing a large number of objects, taking actions to move itself through the world as well as to change the state of the objects, is known as task and motion planning (TAMP). TAMP problems contain elements of discrete task planning, discrete-continu...
[ { "created": "Fri, 2 Oct 2020 16:23:08 GMT", "version": "v1" } ]
2020-10-05
[ [ "Garrett", "Caelan Reed", "" ], [ "Chitnis", "Rohan", "" ], [ "Holladay", "Rachel", "" ], [ "Kim", "Beomjoon", "" ], [ "Silver", "Tom", "" ], [ "Kaelbling", "Leslie Pack", "" ], [ "Lozano-Pérez", "Tomás", "...
The problem of planning for a robot that operates in environments containing a large number of objects, taking actions to move itself through the world as well as to change the state of the objects, is known as task and motion planning (TAMP). TAMP problems contain elements of discrete task planning, discrete-continuou...
1905.04770
Will Ma
Will Ma, David Simchi-Levi
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the dynamic assortment offerings and item pricings occurring in e-commerce, we study a general problem of allocating finite inventories to heterogeneous customers arriving sequentially. We analyze this problem under the framework of competitive analysis, where the sequence of customers is unknown and doe...
[ { "created": "Sun, 12 May 2019 18:59:53 GMT", "version": "v1" } ]
2019-05-14
[ [ "Ma", "Will", "" ], [ "Simchi-Levi", "David", "" ] ]
Motivated by the dynamic assortment offerings and item pricings occurring in e-commerce, we study a general problem of allocating finite inventories to heterogeneous customers arriving sequentially. We analyze this problem under the framework of competitive analysis, where the sequence of customers is unknown and does ...
1102.5699
Rachit Mohan Garg
Rachit Mohan Garg, Yamini Sood, Neha Tyagi
Ontology based approach for video transmission over the network
7 pages, 2 figures, 4 tables
The International journal of Multimedia & Its Applications (IJMA) Vol.3, No.1, February 2011
10.5121/ijma.2011.3106
null
cs.MM cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increase in the bandwidth & the transmission speed over the internet, transmission of multimedia objects like video, audio, images has become an easier work. In this paper we provide an approach that can be useful for transmission of video objects over the internet without much fuzz. The approach provides a ...
[ { "created": "Mon, 28 Feb 2011 16:13:20 GMT", "version": "v1" } ]
2011-03-01
[ [ "Garg", "Rachit Mohan", "" ], [ "Sood", "Yamini", "" ], [ "Tyagi", "Neha", "" ] ]
With the increase in the bandwidth & the transmission speed over the internet, transmission of multimedia objects like video, audio, images has become an easier work. In this paper we provide an approach that can be useful for transmission of video objects over the internet without much fuzz. The approach provides a on...
2006.13401
Xinshi Chen
Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
Understanding Deep Architectures with Reasoning Layer
34th Conference on Neural Information Processing Systems (NeurIPS 2020)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, there has been a surge of interest in combining deep learning models with reasoning in order to handle more sophisticated learning tasks. In many cases, a reasoning task can be solved by an iterative algorithm. This algorithm is often unrolled, and used as a specialized layer in the deep architecture, which...
[ { "created": "Wed, 24 Jun 2020 00:26:35 GMT", "version": "v1" }, { "created": "Thu, 29 Oct 2020 22:00:00 GMT", "version": "v2" } ]
2020-11-02
[ [ "Chen", "Xinshi", "" ], [ "Zhang", "Yufei", "" ], [ "Reisinger", "Christoph", "" ], [ "Song", "Le", "" ] ]
Recently, there has been a surge of interest in combining deep learning models with reasoning in order to handle more sophisticated learning tasks. In many cases, a reasoning task can be solved by an iterative algorithm. This algorithm is often unrolled, and used as a specialized layer in the deep architecture, which c...
2201.05716
EPTCS
P\'eter Bereczky (E\"otv\"os Lor\'and University, Hungary), Xiaohong Chen (University of Illinois at Urbana-Champaign, USA), D\'aniel Horp\'acsi (E\"otv\"os Lor\'and University, Hungary), Lucas Pe\~na (University of Illinois at Urbana-Champaign, USA), Jan Tu\v{s}il (Masaryk University, Czechia)
Mechanizing Matching Logic In Coq
In Proceedings FROM 2022, arXiv:2209.09208
EPTCS 369, 2022, pp. 17-36
10.4204/EPTCS.369.2
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Matching logic is a formalism for specifying, and reasoning about, mathematical structures, using patterns and pattern matching. Growing in popularity, it has been used to define many logical systems such as separation logic with recursive definitions and linear temporal logic. In addition, it serves as the logical f...
[ { "created": "Sat, 15 Jan 2022 00:06:17 GMT", "version": "v1" }, { "created": "Wed, 19 Jan 2022 16:04:53 GMT", "version": "v2" }, { "created": "Sun, 1 May 2022 09:58:07 GMT", "version": "v3" }, { "created": "Wed, 21 Sep 2022 13:55:16 GMT", "version": "v4" } ]
2022-09-22
[ [ "Bereczky", "Péter", "", "Eötvös Loránd University, Hungary" ], [ "Chen", "Xiaohong", "", "University of Illinois at Urbana-Champaign, USA" ], [ "Horpácsi", "Dániel", "", "Eötvös Loránd University, Hungary" ], [ "Peña", "Lucas", "", "Univ...
Matching logic is a formalism for specifying, and reasoning about, mathematical structures, using patterns and pattern matching. Growing in popularity, it has been used to define many logical systems such as separation logic with recursive definitions and linear temporal logic. In addition, it serves as the logical fou...
2310.11117
Jianchao Tan
Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang
USDC: Unified Static and Dynamic Compression for Visual Transformer
This paper was actually finished in 2021
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Visual Transformers have achieved great success in almost all vision tasks, such as classification, detection, and so on. However, the model complexity and the inference speed of the visual transformers hinder their deployments in industrial products. Various model compression techniques focus on directly compressing...
[ { "created": "Tue, 17 Oct 2023 10:04:47 GMT", "version": "v1" } ]
2023-10-18
[ [ "Yuan", "Huan", "" ], [ "Liao", "Chao", "" ], [ "Tan", "Jianchao", "" ], [ "Yao", "Peng", "" ], [ "Jia", "Jiyuan", "" ], [ "Chen", "Bin", "" ], [ "Song", "Chengru", "" ], [ "Zhang", "Di", ""...
Visual Transformers have achieved great success in almost all vision tasks, such as classification, detection, and so on. However, the model complexity and the inference speed of the visual transformers hinder their deployments in industrial products. Various model compression techniques focus on directly compressing t...
2306.03929
Stratis Tsirtsis
Stratis Tsirtsis, Manuel Gomez-Rodriguez
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Accepted at NeurIPS 2023
null
null
null
cs.LG cs.AI cs.CY stat.ML
http://creativecommons.org/licenses/by/4.0/
Whenever a clinician reflects on the efficacy of a sequence of treatment decisions for a patient, they may try to identify critical time steps where, had they made different decisions, the patient's health would have improved. While recent methods at the intersection of causal inference and reinforcement learning pro...
[ { "created": "Tue, 6 Jun 2023 18:00:29 GMT", "version": "v1" }, { "created": "Mon, 6 Nov 2023 11:01:28 GMT", "version": "v2" } ]
2023-11-07
[ [ "Tsirtsis", "Stratis", "" ], [ "Gomez-Rodriguez", "Manuel", "" ] ]
Whenever a clinician reflects on the efficacy of a sequence of treatment decisions for a patient, they may try to identify critical time steps where, had they made different decisions, the patient's health would have improved. While recent methods at the intersection of causal inference and reinforcement learning promi...
1512.00312
Anton Aristov AA
Anton Aristov
The Quasi cellular nets-based models of transport and logistic systems
null
Reports of the XXIII XXIII International Scientific Symposium Miner's Week, 2015, Moscow : NUST MISIS., PP. 280-287
null
null
cs.OH
http://creativecommons.org/licenses/by-nc-sa/4.0/
There are many systems in different subjects such as industry, medicine, transport, social and others, can be discribed on their dynamic of flows. Nowadays models of flows consist of micro- and macro-models. In practice there is a problem of convertation from different levels of simulation. In the different articles ...
[ { "created": "Fri, 27 Nov 2015 01:49:02 GMT", "version": "v1" } ]
2015-12-04
[ [ "Aristov", "Anton", "" ] ]
There are many systems in different subjects such as industry, medicine, transport, social and others, can be discribed on their dynamic of flows. Nowadays models of flows consist of micro- and macro-models. In practice there is a problem of convertation from different levels of simulation. In the different articles au...
2108.12129
Keshav Srinivasan
Keshav Srinivasan, Nolan Coble, Joy Hamlin, Thomas Antonsen, Edward Ott and Michelle Girvan
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
null
null
10.1103/PhysRevLett.128.164101
null
cs.LG nlin.CD
http://creativecommons.org/licenses/by/4.0/
Forecasting the dynamics of large complex networks from previous time-series data is important in a wide range of contexts. Here we present a machine learning scheme for this task using a parallel architecture that mimics the topology of the network of interest. We demonstrate the utility and scalability of our metho...
[ { "created": "Fri, 27 Aug 2021 06:06:41 GMT", "version": "v1" } ]
2022-05-04
[ [ "Srinivasan", "Keshav", "" ], [ "Coble", "Nolan", "" ], [ "Hamlin", "Joy", "" ], [ "Antonsen", "Thomas", "" ], [ "Ott", "Edward", "" ], [ "Girvan", "Michelle", "" ] ]
Forecasting the dynamics of large complex networks from previous time-series data is important in a wide range of contexts. Here we present a machine learning scheme for this task using a parallel architecture that mimics the topology of the network of interest. We demonstrate the utility and scalability of our method ...
1707.04520
Wanming Hao
Wanming Hao, Ming Zeng, Zheng Chu, Shouyi Yang
Energy-Efficient Power Allocation in Millimeter Wave Massive MIMO with Non-Orthogonal Multiple Access
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave (mmWave) massive MIMO (mMIMO) system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digit...
[ { "created": "Fri, 14 Jul 2017 14:24:16 GMT", "version": "v1" } ]
2017-07-17
[ [ "Hao", "Wanming", "" ], [ "Zeng", "Ming", "" ], [ "Chu", "Zheng", "" ], [ "Yang", "Shouyi", "" ] ]
In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave (mmWave) massive MIMO (mMIMO) system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital...
2207.02370
Tianhong Li
Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi
Unsupervised Learning for Human Sensing Using Radio Signals
WACV 2022. The first three authors contributed equally to this paper
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
There is a growing literature demonstrating the feasibility of using Radio Frequency (RF) signals to enable key computer vision tasks in the presence of occlusions and poor lighting. It leverages that RF signals traverse walls and occlusions to deliver through-wall pose estimation, action recognition, scene captionin...
[ { "created": "Wed, 6 Jul 2022 00:28:18 GMT", "version": "v1" } ]
2022-07-07
[ [ "Li", "Tianhong", "" ], [ "Fan", "Lijie", "" ], [ "Yuan", "Yuan", "" ], [ "Katabi", "Dina", "" ] ]
There is a growing literature demonstrating the feasibility of using Radio Frequency (RF) signals to enable key computer vision tasks in the presence of occlusions and poor lighting. It leverages that RF signals traverse walls and occlusions to deliver through-wall pose estimation, action recognition, scene captioning,...
1612.09087
Farshad Roohbakhshan
Farshad Roohbakhshan and Roger A. Sauer
Efficient isogeometric thin shell formulations for soft biological materials
Typos are removed. Remark 3.4 is added. Eq. (18) in the previous version is removed. Thus, the equations get renumbered. Example 5.5 is updated. Minor typos in Eqs. (17), (80), (145) and (146), are corrected. They do not affect the results
Biomech Model Mechanobiol (2017) 16:1569
10.1007/s10237-017-0906-6
null
cs.CE cond-mat.soft
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents three different constitutive approaches to model thin rotation-free shells based on the Kirchhoff-Love hypothesis. One approach is based on numerical integration through the shell thickness while the other two approaches do not need any numerical integration and so they are computationally more ef...
[ { "created": "Thu, 29 Dec 2016 10:02:43 GMT", "version": "v1" }, { "created": "Tue, 24 Oct 2017 14:33:41 GMT", "version": "v2" } ]
2017-10-25
[ [ "Roohbakhshan", "Farshad", "" ], [ "Sauer", "Roger A.", "" ] ]
This paper presents three different constitutive approaches to model thin rotation-free shells based on the Kirchhoff-Love hypothesis. One approach is based on numerical integration through the shell thickness while the other two approaches do not need any numerical integration and so they are computationally more effi...
2402.06266
Peter Vamplew
Peter Vamplew, Cameron Foale, Richard Dazeley
Value function interference and greedy action selection in value-based multi-objective reinforcement learning
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Multi-objective reinforcement learning (MORL) algorithms extend conventional reinforcement learning (RL) to the more general case of problems with multiple, conflicting objectives, represented by vector-valued rewards. Widely-used scalar RL methods such as Q-learning can be modified to handle multiple objectives by (...
[ { "created": "Fri, 9 Feb 2024 09:28:01 GMT", "version": "v1" } ]
2024-02-12
[ [ "Vamplew", "Peter", "" ], [ "Foale", "Cameron", "" ], [ "Dazeley", "Richard", "" ] ]
Multi-objective reinforcement learning (MORL) algorithms extend conventional reinforcement learning (RL) to the more general case of problems with multiple, conflicting objectives, represented by vector-valued rewards. Widely-used scalar RL methods such as Q-learning can be modified to handle multiple objectives by (1)...
2205.01464
Andrew Drozdov
Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramon Fernandez Astudillo
Inducing and Using Alignments for Transition-based AMR Parsing
Accepted at NAACL 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transition-based parsers for Abstract Meaning Representation (AMR) rely on node-to-word alignments. These alignments are learned separately from parser training and require a complex pipeline of rule-based components, pre-processing, and post-processing to satisfy domain-specific constraints. Parsers also train on a ...
[ { "created": "Tue, 3 May 2022 12:58:36 GMT", "version": "v1" } ]
2022-05-04
[ [ "Drozdov", "Andrew", "" ], [ "Zhou", "Jiawei", "" ], [ "Florian", "Radu", "" ], [ "McCallum", "Andrew", "" ], [ "Naseem", "Tahira", "" ], [ "Kim", "Yoon", "" ], [ "Astudillo", "Ramon Fernandez", "" ] ]
Transition-based parsers for Abstract Meaning Representation (AMR) rely on node-to-word alignments. These alignments are learned separately from parser training and require a complex pipeline of rule-based components, pre-processing, and post-processing to satisfy domain-specific constraints. Parsers also train on a po...