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2108.05029
Pilhyeon Lee
Pilhyeon Lee, Hyeran Byun
Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
Accepted by ICCV 2021 (Oral). Code is available at https://github.com/Pilhyeon
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of localizing temporal intervals of actions with only a single frame label for each action instance for training. Owing to label sparsity, existing work fails to learn action completeness, resulting in fragmentary action predictions. In this paper, we propose a novel framework, where dense pseud...
[ { "created": "Wed, 11 Aug 2021 04:54:39 GMT", "version": "v1" } ]
2021-08-12
[ [ "Lee", "Pilhyeon", "" ], [ "Byun", "Hyeran", "" ] ]
We tackle the problem of localizing temporal intervals of actions with only a single frame label for each action instance for training. Owing to label sparsity, existing work fails to learn action completeness, resulting in fragmentary action predictions. In this paper, we propose a novel framework, where dense pseudo-...
2211.14481
Muralikrishnan Srinivasan
Muralikrishnan Srinivasan, Jinxiang Song, Alexander Grabowski, Krzysztof Szczerba, Holger K. Iversen, Mikkel N. Schmidt, Darko Zibar, Jochen Schr\"oder, Anders Larsson, Christian H\"ager, Henk Wymeersch
End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities
null
null
10.1109/JLT.2023.3251660
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the main workhorse within data centers, supercomputers, and even vehicles, providing low-cost, high-rate connectivity. VCSELs must operate under extremely harsh and time-varying conditions, thus requiring adaptive and flexible d...
[ { "created": "Sat, 26 Nov 2022 04:47:29 GMT", "version": "v1" } ]
2023-06-21
[ [ "Srinivasan", "Muralikrishnan", "" ], [ "Song", "Jinxiang", "" ], [ "Grabowski", "Alexander", "" ], [ "Szczerba", "Krzysztof", "" ], [ "Iversen", "Holger K.", "" ], [ "Schmidt", "Mikkel N.", "" ], [ "Zibar", "D...
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the main workhorse within data centers, supercomputers, and even vehicles, providing low-cost, high-rate connectivity. VCSELs must operate under extremely harsh and time-varying conditions, thus requiring adaptive and flexible des...
1909.10475
Arquimedes Canedo
Jade Master and Evan Patterson and Shahin Yousfi and Arquimedes Canedo
String Diagrams for Assembly Planning
16 pages, 6 figures, 1 table
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Assembly planning is a difficult problem for companies. Many disciplines such as design, planning, scheduling, and manufacturing execution need to be carefully engineered and coordinated to create successful product assembly plans. Recent research in the field of design for assembly has proposed new methodologies to ...
[ { "created": "Mon, 23 Sep 2019 16:55:49 GMT", "version": "v1" }, { "created": "Mon, 11 May 2020 19:15:25 GMT", "version": "v2" } ]
2020-05-13
[ [ "Master", "Jade", "" ], [ "Patterson", "Evan", "" ], [ "Yousfi", "Shahin", "" ], [ "Canedo", "Arquimedes", "" ] ]
Assembly planning is a difficult problem for companies. Many disciplines such as design, planning, scheduling, and manufacturing execution need to be carefully engineered and coordinated to create successful product assembly plans. Recent research in the field of design for assembly has proposed new methodologies to de...
1507.08879
Fabrizio Montecchiani
Giuseppe Liotta and Fabrizio Montecchiani
L-Visibility Drawings of IC-planar Graphs
null
null
10.1016/j.ipl.2015.11.011
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An IC-plane graph is a topological graph where every edge is crossed at most once and no two crossed edges share a vertex. We show that every IC-plane graph has a visibility drawing where every vertex is an L-shape, and every edge is either a horizontal or vertical segment. As a byproduct of our drawing technique, we...
[ { "created": "Fri, 31 Jul 2015 13:49:56 GMT", "version": "v1" }, { "created": "Wed, 18 Nov 2015 08:23:01 GMT", "version": "v2" } ]
2019-09-04
[ [ "Liotta", "Giuseppe", "" ], [ "Montecchiani", "Fabrizio", "" ] ]
An IC-plane graph is a topological graph where every edge is crossed at most once and no two crossed edges share a vertex. We show that every IC-plane graph has a visibility drawing where every vertex is an L-shape, and every edge is either a horizontal or vertical segment. As a byproduct of our drawing technique, we p...
2102.10403
Vijay Lingam
Vijay Lingam, Arun Iyer, Rahul Ragesh
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
11 pages, 4 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks have shown excellent performance on semi-supervised classification tasks. However, they assume access to a graph that may not be often available in practice. In the absence of any graph, constructing k-Nearest Neighbor (kNN) graphs from the given data have shown to give improvements when used wi...
[ { "created": "Sat, 20 Feb 2021 17:56:52 GMT", "version": "v1" } ]
2021-02-23
[ [ "Lingam", "Vijay", "" ], [ "Iyer", "Arun", "" ], [ "Ragesh", "Rahul", "" ] ]
Graph Neural Networks have shown excellent performance on semi-supervised classification tasks. However, they assume access to a graph that may not be often available in practice. In the absence of any graph, constructing k-Nearest Neighbor (kNN) graphs from the given data have shown to give improvements when used with...
1708.02977
Licheng Yu
Licheng Yu and Mohit Bansal and Tamara L. Berg
Hierarchically-Attentive RNN for Album Summarization and Storytelling
To appear at EMNLP-2017 (7 pages)
null
null
null
cs.CL cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural language story for the album. For this task, we make use of the Visual Storytelling dataset and a model composed of three hierarchically-attentiv...
[ { "created": "Wed, 9 Aug 2017 19:26:47 GMT", "version": "v1" } ]
2017-08-11
[ [ "Yu", "Licheng", "" ], [ "Bansal", "Mohit", "" ], [ "Berg", "Tamara L.", "" ] ]
We address the problem of end-to-end visual storytelling. Given a photo album, our model first selects the most representative (summary) photos, and then composes a natural language story for the album. For this task, we make use of the Visual Storytelling dataset and a model composed of three hierarchically-attentive ...
1908.04562
Jenni Raitoharju
Jenni Raitoharju and Alexandros Iosifidis
Null Space Analysis for Class-Specific Discriminant Learning
12 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we carry out null space analysis for Class-Specific Discriminant Analysis (CSDA) and formulate a number of solutions based on the analysis. We analyze both theoretically and experimentally the significance of each algorithmic step. The innate subspace dimensionality resulting from the proposed solution...
[ { "created": "Tue, 13 Aug 2019 09:34:15 GMT", "version": "v1" } ]
2019-08-14
[ [ "Raitoharju", "Jenni", "" ], [ "Iosifidis", "Alexandros", "" ] ]
In this paper, we carry out null space analysis for Class-Specific Discriminant Analysis (CSDA) and formulate a number of solutions based on the analysis. We analyze both theoretically and experimentally the significance of each algorithmic step. The innate subspace dimensionality resulting from the proposed solutions ...
2103.09577
Justyna P. Zwolak
Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak
Theoretical bounds on data requirements for the ray-based classification
10 pages, 5 figures
SN Comput. Sci. 3, 57 (2022)
10.1007/s42979-021-00921-0
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of different geometries, a new classification framework has recently been proposed in which the intersections of a set of one-dimensional represe...
[ { "created": "Wed, 17 Mar 2021 11:38:45 GMT", "version": "v1" }, { "created": "Tue, 30 Nov 2021 20:23:36 GMT", "version": "v2" }, { "created": "Sat, 26 Feb 2022 15:56:24 GMT", "version": "v3" } ]
2022-03-01
[ [ "Weber", "Brian J.", "" ], [ "Kalantre", "Sandesh S.", "" ], [ "McJunkin", "Thomas", "" ], [ "Taylor", "Jacob M.", "" ], [ "Zwolak", "Justyna P.", "" ] ]
The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of different geometries, a new classification framework has recently been proposed in which the intersections of a set of one-dimensional represent...
2005.13299
Saad Shafiq
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
Machine Learning for Software Engineering: A Systematic Mapping
20 pages, 13 figures, under review in IST journal
null
10.1109/ACCESS.2021.3119746
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context: The software development industry is rapidly adopting machine learning for transitioning modern day software systems towards highly intelligent and self-learning systems. However, the full potential of machine learning for improving the software engineering life cycle itself is yet to be discovered, i.e., up...
[ { "created": "Wed, 27 May 2020 11:56:56 GMT", "version": "v1" } ]
2021-10-18
[ [ "Shafiq", "Saad", "" ], [ "Mashkoor", "Atif", "" ], [ "Mayr-Dorn", "Christoph", "" ], [ "Egyed", "Alexander", "" ] ]
Context: The software development industry is rapidly adopting machine learning for transitioning modern day software systems towards highly intelligent and self-learning systems. However, the full potential of machine learning for improving the software engineering life cycle itself is yet to be discovered, i.e., up t...
cs/0308044
Grigorii Pivovarov
Grigorii Pivovarov and Sergei Trunov
EqRank: A Self-Consistent Equivalence Relation on Graph Vertexes
a kdd cup 2003 submission
null
null
null
cs.DS cs.DL
null
A new method of hierarchical clustering of graph vertexes is suggested. In the method, the graph partition is determined with an equivalence relation satisfying a recursive definition stating that vertexes are equivalent if the vertexes they point to (or vertexes pointing to them) are equivalent. Iterative applicatio...
[ { "created": "Fri, 29 Aug 2003 13:20:03 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pivovarov", "Grigorii", "" ], [ "Trunov", "Sergei", "" ] ]
A new method of hierarchical clustering of graph vertexes is suggested. In the method, the graph partition is determined with an equivalence relation satisfying a recursive definition stating that vertexes are equivalent if the vertexes they point to (or vertexes pointing to them) are equivalent. Iterative application ...
1910.06588
Yuanyuan Wei
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy McIntosh
MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
12 pages, 5 figures, 2 tables
null
10.1109/BigDataSE53435.2021.00022
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Outlier detection is a technique in data mining that aims to detect unusual or unexpected records in the dataset. Existing outlier detection algorithms have different pros and cons and exhibit different sensitivity to noisy data such as extreme values. In this paper, we propose a novel cluster-based outlier detection...
[ { "created": "Tue, 15 Oct 2019 08:24:16 GMT", "version": "v1" } ]
2023-12-22
[ [ "Wei", "Yuanyuan", "" ], [ "Jang-Jaccard", "Julian", "" ], [ "Sabrina", "Fariza", "" ], [ "McIntosh", "Timothy", "" ] ]
Outlier detection is a technique in data mining that aims to detect unusual or unexpected records in the dataset. Existing outlier detection algorithms have different pros and cons and exhibit different sensitivity to noisy data such as extreme values. In this paper, we propose a novel cluster-based outlier detection a...
1710.04391
Fredrik Erlandsson
Fredrik Erlandsson, Piotr Br\'odka, and Anton Borg
Seed selection for information cascade in multilayer networks
null
null
10.1007/978-3-319-72150-7_35
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information spreading is an interesting field in the domain of online social media. In this work, we are investigating how well different seed selection strategies affect the spreading processes simulated using independent cascade model on eighteen multilayer social networks. Fifteen networks are built based on the u...
[ { "created": "Thu, 12 Oct 2017 07:25:24 GMT", "version": "v1" } ]
2017-11-30
[ [ "Erlandsson", "Fredrik", "" ], [ "Bródka", "Piotr", "" ], [ "Borg", "Anton", "" ] ]
Information spreading is an interesting field in the domain of online social media. In this work, we are investigating how well different seed selection strategies affect the spreading processes simulated using independent cascade model on eighteen multilayer social networks. Fifteen networks are built based on the use...
2211.15065
Yi Ma
Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Pessimism is of great importance in offline reinforcement learning (RL). One broad category of offline RL algorithms fulfills pessimism by explicit or implicit behavior regularization. However, most of them only consider policy divergence as behavior regularization, ignoring the effect of how the offline state distri...
[ { "created": "Mon, 28 Nov 2022 04:56:40 GMT", "version": "v1" } ]
2022-11-29
[ [ "Chen", "Chen", "" ], [ "Tang", "Hongyao", "" ], [ "Ma", "Yi", "" ], [ "Wang", "Chao", "" ], [ "Shen", "Qianli", "" ], [ "Li", "Dong", "" ], [ "Hao", "Jianye", "" ] ]
Pessimism is of great importance in offline reinforcement learning (RL). One broad category of offline RL algorithms fulfills pessimism by explicit or implicit behavior regularization. However, most of them only consider policy divergence as behavior regularization, ignoring the effect of how the offline state distribu...
1106.2603
Sam Ma
Chengxi Ye, Zhanshan Sam Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu
SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph
Corresponding author: Douglas W. Yu, dougwyu@gmail.com
null
null
null
cs.DS q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
de Bruijn graph-based algorithms are one of the two most widely used approaches for de novo genome assembly. A major limitation of this approach is the large computational memory space requirement to construct the de Bruijn graph, which scales with k-mer length and total diversity (N) of unique k-mers in the genome e...
[ { "created": "Tue, 14 Jun 2011 04:06:06 GMT", "version": "v1" } ]
2011-07-11
[ [ "Ye", "Chengxi", "" ], [ "Ma", "Zhanshan Sam", "" ], [ "Cannon", "Charles H.", "" ], [ "Pop", "Mihai", "" ], [ "Yu", "Douglas W.", "" ] ]
de Bruijn graph-based algorithms are one of the two most widely used approaches for de novo genome assembly. A major limitation of this approach is the large computational memory space requirement to construct the de Bruijn graph, which scales with k-mer length and total diversity (N) of unique k-mers in the genome exp...
2104.00654
Bo Chen
Bo Chen, Calvin Hawkins, Kasra Yazdani, Matthew Hale
Edge Differential Privacy for Algebraic Connectivity of Graphs
8 pages, 5 figures, submitted to 60th IEEE Conference on Decision and Control 2021
null
null
null
cs.CR cs.MA cs.SI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graphs are the dominant formalism for modeling multi-agent systems. The algebraic connectivity of a graph is particularly important because it provides the convergence rates of consensus algorithms that underlie many multi-agent control and optimization techniques. However, sharing the value of algebraic connectivity...
[ { "created": "Thu, 1 Apr 2021 17:50:18 GMT", "version": "v1" } ]
2021-04-02
[ [ "Chen", "Bo", "" ], [ "Hawkins", "Calvin", "" ], [ "Yazdani", "Kasra", "" ], [ "Hale", "Matthew", "" ] ]
Graphs are the dominant formalism for modeling multi-agent systems. The algebraic connectivity of a graph is particularly important because it provides the convergence rates of consensus algorithms that underlie many multi-agent control and optimization techniques. However, sharing the value of algebraic connectivity c...
2007.00857
Meilin Gao
Meilin Gao, Bo Ai, Yong Niu, Wen Wu, Peng Yang, Feng Lyu, Xuemin (Sherman) Shen
Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications
11 Pages, 9 Figures
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020
10.1109/TVT.2020.3000757
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Future railway is expected to accommodate both train operation services and passenger broadband services. The millimeter wave (mmWave) communication is a promising technology in providing multi-gigabit data rates to onboard users. However, mmWave communications suffer from severe propagation attenuation and vulnerabi...
[ { "created": "Thu, 2 Jul 2020 03:44:37 GMT", "version": "v1" } ]
2020-07-03
[ [ "Gao", "Meilin", "", "Sherman" ], [ "Ai", "Bo", "", "Sherman" ], [ "Niu", "Yong", "", "Sherman" ], [ "Wu", "Wen", "", "Sherman" ], [ "Yang", "Peng", "", "Sherman" ], [ "Lyu", "Feng", "", "Sherman" ...
Future railway is expected to accommodate both train operation services and passenger broadband services. The millimeter wave (mmWave) communication is a promising technology in providing multi-gigabit data rates to onboard users. However, mmWave communications suffer from severe propagation attenuation and vulnerabili...
1803.00552
Sneihil Gopal Ms
Sneihil Gopal and Sanjit K. Kaul
A Game Theoretic Approach to DSRC and WiFi Coexistence
Accepted at IEEE INFOCOM AoI Workshop 2018
null
null
null
cs.NI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We model the coexistence of DSRC and WiFi networks as a strategic form game with the networks as the players. Nodes in a DSRC network must support messaging of status updates that are time sensitive. Such nodes would like to achieve a small age of information of status updates. In contrast, nodes in a WiFi network wo...
[ { "created": "Thu, 1 Mar 2018 18:43:28 GMT", "version": "v1" }, { "created": "Sat, 3 Mar 2018 18:10:36 GMT", "version": "v2" }, { "created": "Mon, 12 Mar 2018 20:40:33 GMT", "version": "v3" }, { "created": "Wed, 18 Apr 2018 19:53:33 GMT", "version": "v4" }, { "cre...
2018-04-24
[ [ "Gopal", "Sneihil", "" ], [ "Kaul", "Sanjit K.", "" ] ]
We model the coexistence of DSRC and WiFi networks as a strategic form game with the networks as the players. Nodes in a DSRC network must support messaging of status updates that are time sensitive. Such nodes would like to achieve a small age of information of status updates. In contrast, nodes in a WiFi network woul...
2110.02404
Justin Wilson
Justin Wilson and Ming C. Lin
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video
null
null
null
null
cs.CV cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D object reconstructions of transparent and concave structured objects, with inferred material properties, remains an open research problem for robot navigation in unstructured environments. In this paper, we propose a multimodal single- and multi-frame neural network for 3D reconstructions using audio-visual inputs...
[ { "created": "Tue, 5 Oct 2021 23:23:19 GMT", "version": "v1" } ]
2021-10-07
[ [ "Wilson", "Justin", "" ], [ "Lin", "Ming C.", "" ] ]
3D object reconstructions of transparent and concave structured objects, with inferred material properties, remains an open research problem for robot navigation in unstructured environments. In this paper, we propose a multimodal single- and multi-frame neural network for 3D reconstructions using audio-visual inputs. ...
2401.15996
Nahyun Kwon
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
AccessLens: Auto-detecting Inaccessibility of Everyday Objects
CHI2024
null
10.1145/3613904.3642767
null
cs.CV cs.HC
http://creativecommons.org/licenses/by/4.0/
In our increasingly diverse society, everyday physical interfaces often present barriers, impacting individuals across various contexts. This oversight, from small cabinet knobs to identical wall switches that can pose different contextual challenges, highlights an imperative need for solutions. Leveraging low-cost 3...
[ { "created": "Mon, 29 Jan 2024 09:27:55 GMT", "version": "v1" }, { "created": "Fri, 23 Feb 2024 17:06:14 GMT", "version": "v2" } ]
2024-02-26
[ [ "Kwon", "Nahyun", "" ], [ "Lu", "Qian", "" ], [ "Qazi", "Muhammad Hasham", "" ], [ "Liu", "Joanne", "" ], [ "Oh", "Changhoon", "" ], [ "Kong", "Shu", "" ], [ "Kim", "Jeeeun", "" ] ]
In our increasingly diverse society, everyday physical interfaces often present barriers, impacting individuals across various contexts. This oversight, from small cabinet knobs to identical wall switches that can pose different contextual challenges, highlights an imperative need for solutions. Leveraging low-cost 3D-...
1210.2149
Ragib Hasan
Shams Zawoad and Ragib Hasan
The Enemy Within: The Emerging Threats to Healthcare from Malicious Mobile Devices
To appear at MobiHealth 2012
null
null
null
cs.CR cs.NI
http://creativecommons.org/licenses/by-nc-sa/3.0/
With the proliferation of wireless networks, mobile devices and medical devices are increasingly being equipped with wireless interfaces, such as Bluetooth and WiFi to allow easy access to and control of the medical devices. Unfortunately, the very presence and usage of such interfaces also expose the medical devices...
[ { "created": "Mon, 8 Oct 2012 05:34:18 GMT", "version": "v1" } ]
2012-10-09
[ [ "Zawoad", "Shams", "" ], [ "Hasan", "Ragib", "" ] ]
With the proliferation of wireless networks, mobile devices and medical devices are increasingly being equipped with wireless interfaces, such as Bluetooth and WiFi to allow easy access to and control of the medical devices. Unfortunately, the very presence and usage of such interfaces also expose the medical devices t...
1903.04141
Sandip Roy
Sandip Roy and Mengran Xue
Sign Patterns of Inverse Doubly-Nonnegative Matrices
Final version of paper, appeared in Linear Algebra and its Applications in March 2021
Linear Algebra and its Applications, Volume 610, 1 February 2021, Pages 480-487
10.1016/j.laa.2020.10.005
null
cs.SY cs.NA eess.SP math.NA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph is a tree, the inverse is shown to have a unique sign pattern, whic...
[ { "created": "Mon, 11 Mar 2019 06:46:52 GMT", "version": "v1" }, { "created": "Tue, 12 Mar 2019 06:12:59 GMT", "version": "v2" }, { "created": "Mon, 8 Mar 2021 12:56:59 GMT", "version": "v3" } ]
2021-03-09
[ [ "Roy", "Sandip", "" ], [ "Xue", "Mengran", "" ] ]
The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph is a tree, the inverse is shown to have a unique sign pattern, which ...
1904.08408
Benjamin Deguerre
Benjamin Deguerre, Cl\'ement Chatelain, Gilles Gasso
Fast object detection in compressed JPEG Images
null
null
10.1109/ITSC.2019.8916937
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object detection in still images has drawn a lot of attention over past few years, and with the advent of Deep Learning impressive performances have been achieved with numerous industrial applications. Most of these deep learning models rely on RGB images to localize and identify objects in the image. However in some...
[ { "created": "Tue, 16 Apr 2019 22:10:53 GMT", "version": "v1" } ]
2020-06-23
[ [ "Deguerre", "Benjamin", "" ], [ "Chatelain", "Clément", "" ], [ "Gasso", "Gilles", "" ] ]
Object detection in still images has drawn a lot of attention over past few years, and with the advent of Deep Learning impressive performances have been achieved with numerous industrial applications. Most of these deep learning models rely on RGB images to localize and identify objects in the image. However in some a...
2108.08541
Jelle Hellings
Jelle Hellings and Mohammad Sadoghi
Byzantine Cluster-Sending in Expected Constant Communication
null
null
null
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional resilient systems operate on fully-replicated fault-tolerant clusters, which limits their scalability and performance. One way to make the step towards resilient high-performance systems that can deal with huge workloads, is by enabling independent fault-tolerant clusters to efficiently communicate and co...
[ { "created": "Thu, 19 Aug 2021 07:50:44 GMT", "version": "v1" } ]
2021-08-20
[ [ "Hellings", "Jelle", "" ], [ "Sadoghi", "Mohammad", "" ] ]
Traditional resilient systems operate on fully-replicated fault-tolerant clusters, which limits their scalability and performance. One way to make the step towards resilient high-performance systems that can deal with huge workloads, is by enabling independent fault-tolerant clusters to efficiently communicate and coop...
2204.07612
Laura Montoya
Jennafer S. Roberts and Laura N. Montoya
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence
22 pages, 4 tables, accepted for publication in the Future of Information and Communication Conference (FICC) 2023 proceedings will be published in Springer series "Lecture Notes in Networks and Systems" and submitted for consideration to Web of Science, SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH and SCImago
null
null
null
cs.AI cs.CY cs.GL cs.HC cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this meta-ethnography, we explore three different angles of ethical artificial intelligence (AI) design implementation including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. Our qualitative research includes a literature review that highlights the cross-refe...
[ { "created": "Fri, 15 Apr 2022 18:47:49 GMT", "version": "v1" }, { "created": "Thu, 8 Sep 2022 18:15:35 GMT", "version": "v2" } ]
2022-09-12
[ [ "Roberts", "Jennafer S.", "" ], [ "Montoya", "Laura N.", "" ] ]
In this meta-ethnography, we explore three different angles of ethical artificial intelligence (AI) design implementation including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. Our qualitative research includes a literature review that highlights the cross-refere...
2407.06516
Yibo Liu
Yibo Liu, Zheyuan Yang, Guile Wu, Yuan Ren, Kejian Lin, Bingbing Liu, Yang Liu, Jinjun Shan
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Generating 3D vehicle assets from in-the-wild observations is crucial to autonomous driving. Existing image-to-3D methods cannot well address this problem because they learn generation merely from image RGB information without a deeper understanding of in-the-wild vehicles (such as car models, manufacturers, etc.). T...
[ { "created": "Tue, 9 Jul 2024 03:09:55 GMT", "version": "v1" }, { "created": "Wed, 10 Jul 2024 18:51:40 GMT", "version": "v2" } ]
2024-07-12
[ [ "Liu", "Yibo", "" ], [ "Yang", "Zheyuan", "" ], [ "Wu", "Guile", "" ], [ "Ren", "Yuan", "" ], [ "Lin", "Kejian", "" ], [ "Liu", "Bingbing", "" ], [ "Liu", "Yang", "" ], [ "Shan", "Jinjun", "...
Generating 3D vehicle assets from in-the-wild observations is crucial to autonomous driving. Existing image-to-3D methods cannot well address this problem because they learn generation merely from image RGB information without a deeper understanding of in-the-wild vehicles (such as car models, manufacturers, etc.). Thi...
1907.08345
Bahador Saket
Bahador Saket, Lei Jiang, Charles Perin, and Alex Endert
Liger: Combining Interaction Paradigms for Visual Analysis
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visualization tools usually leverage a single interaction paradigm (e.g., manual view specification, visualization by demonstration, etc.), which fosters the process of visualization construction. A large body of work has investigated the effectiveness of individual interaction paradigms, building an understanding of...
[ { "created": "Fri, 19 Jul 2019 02:29:31 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2019 00:49:34 GMT", "version": "v2" } ]
2019-07-23
[ [ "Saket", "Bahador", "" ], [ "Jiang", "Lei", "" ], [ "Perin", "Charles", "" ], [ "Endert", "Alex", "" ] ]
Visualization tools usually leverage a single interaction paradigm (e.g., manual view specification, visualization by demonstration, etc.), which fosters the process of visualization construction. A large body of work has investigated the effectiveness of individual interaction paradigms, building an understanding of a...
2404.03634
Kairui Ding
Kairui Ding, Boyuan Chen, Ruihai Wu, Yuyang Li, Zongzheng Zhang, Huan-ang Gao, Siqi Li, Guyue Zhou, Yixin Zhu, Hao Dong, and Hao Zhao
PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments
Project Page: https://air-discover.github.io/PreAfford/
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
Robotic manipulation with two-finger grippers is challenged by objects lacking distinct graspable features. Traditional pre-grasping methods, which typically involve repositioning objects or utilizing external aids like table edges, are limited in their adaptability across different object categories and environments...
[ { "created": "Thu, 4 Apr 2024 17:54:12 GMT", "version": "v1" }, { "created": "Thu, 4 Jul 2024 08:13:57 GMT", "version": "v2" } ]
2024-07-08
[ [ "Ding", "Kairui", "" ], [ "Chen", "Boyuan", "" ], [ "Wu", "Ruihai", "" ], [ "Li", "Yuyang", "" ], [ "Zhang", "Zongzheng", "" ], [ "Gao", "Huan-ang", "" ], [ "Li", "Siqi", "" ], [ "Zhou", "Guyue"...
Robotic manipulation with two-finger grippers is challenged by objects lacking distinct graspable features. Traditional pre-grasping methods, which typically involve repositioning objects or utilizing external aids like table edges, are limited in their adaptability across different object categories and environments. ...
1612.02788
Nikhil Vyas
Nikhil Bansal, Shashwat Garg, Jesper Nederlof, Nikhil Vyas
Faster Space-Efficient Algorithms for Subset Sum, k-Sum and Related Problems
23 pages, 3 figures
null
null
null
cs.DS cs.CC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present space efficient Monte Carlo algorithms that solve Subset Sum and Knapsack instances with $n$ items using $O^*(2^{0.86n})$ time and polynomial space, where the $O^*(\cdot)$ notation suppresses factors polynomial in the input size. Both algorithms assume random read-only access to random bits. Modulo this mi...
[ { "created": "Thu, 8 Dec 2016 20:09:55 GMT", "version": "v1" }, { "created": "Sat, 24 Jun 2017 18:35:30 GMT", "version": "v2" } ]
2017-06-27
[ [ "Bansal", "Nikhil", "" ], [ "Garg", "Shashwat", "" ], [ "Nederlof", "Jesper", "" ], [ "Vyas", "Nikhil", "" ] ]
We present space efficient Monte Carlo algorithms that solve Subset Sum and Knapsack instances with $n$ items using $O^*(2^{0.86n})$ time and polynomial space, where the $O^*(\cdot)$ notation suppresses factors polynomial in the input size. Both algorithms assume random read-only access to random bits. Modulo this mild...
1711.05865
Sourya Dey
Sourya Dey
Pricing Football Players using Neural Networks
10 pages technical report (v2: Revised wording and formatting from v1)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We designed a multilayer perceptron neural network to predict the price of a football (soccer) player using data on more than 15,000 players from the football simulation video game FIFA 2017. The network was optimized by experimenting with different activation functions, number of neurons and layers, learning rate an...
[ { "created": "Thu, 16 Nov 2017 00:14:49 GMT", "version": "v1" }, { "created": "Sat, 18 Nov 2017 00:46:39 GMT", "version": "v2" } ]
2017-11-21
[ [ "Dey", "Sourya", "" ] ]
We designed a multilayer perceptron neural network to predict the price of a football (soccer) player using data on more than 15,000 players from the football simulation video game FIFA 2017. The network was optimized by experimenting with different activation functions, number of neurons and layers, learning rate and ...
2010.01615
Uttaran Bhattacharya
Uttaran Bhattacharya and Nicholas Rewkowski and Pooja Guhan and Niall L. Williams and Trisha Mittal and Aniket Bera and Dinesh Manocha
Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression
12 pages, 9 figures, 3 tables
ISMAR, 2020, pp. 24-35
10.1109/ISMAR50242.2020.00020
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
We present a novel autoregression network to generate virtual agents that convey various emotions through their walking styles or gaits. Given the 3D pose sequences of a gait, our network extracts pertinent movement features and affective features from the gait. We use these features to synthesize subsequent gaits su...
[ { "created": "Sun, 4 Oct 2020 16:05:40 GMT", "version": "v1" }, { "created": "Sat, 31 Jul 2021 15:36:14 GMT", "version": "v2" } ]
2021-08-03
[ [ "Bhattacharya", "Uttaran", "" ], [ "Rewkowski", "Nicholas", "" ], [ "Guhan", "Pooja", "" ], [ "Williams", "Niall L.", "" ], [ "Mittal", "Trisha", "" ], [ "Bera", "Aniket", "" ], [ "Manocha", "Dinesh", "" ...
We present a novel autoregression network to generate virtual agents that convey various emotions through their walking styles or gaits. Given the 3D pose sequences of a gait, our network extracts pertinent movement features and affective features from the gait. We use these features to synthesize subsequent gaits such...
2202.00443
Pierre Lison
Ildik\'o Pil\'an, Pierre Lison, Lilja {\O}vrelid, Anthi Papadopoulou, David S\'anchez and Montserrat Batet
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a text document to prevent the disclosure of personal information, currently suffers from a shortage of privacy-oriented annotated text resourc...
[ { "created": "Tue, 25 Jan 2022 14:34:42 GMT", "version": "v1" }, { "created": "Fri, 1 Jul 2022 10:27:00 GMT", "version": "v2" } ]
2022-07-04
[ [ "Pilán", "Ildikó", "" ], [ "Lison", "Pierre", "" ], [ "Øvrelid", "Lilja", "" ], [ "Papadopoulou", "Anthi", "" ], [ "Sánchez", "David", "" ], [ "Batet", "Montserrat", "" ] ]
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a text document to prevent the disclosure of personal information, currently suffers from a shortage of privacy-oriented annotated text resources...
1907.09691
Lan Hu
Lan Hu, Wanting Xu, Kun Huang, Laurent Kneip
Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an effort to increase the capabilities of SLAM systems and produce object-level representations, the community increasingly investigates the imposition of higher-level priors into the estimation process. One such example is given by employing object detectors to load and register full CAD models. Our work extends ...
[ { "created": "Tue, 23 Jul 2019 04:24:25 GMT", "version": "v1" }, { "created": "Mon, 9 Dec 2019 13:25:38 GMT", "version": "v2" } ]
2019-12-10
[ [ "Hu", "Lan", "" ], [ "Xu", "Wanting", "" ], [ "Huang", "Kun", "" ], [ "Kneip", "Laurent", "" ] ]
In an effort to increase the capabilities of SLAM systems and produce object-level representations, the community increasingly investigates the imposition of higher-level priors into the estimation process. One such example is given by employing object detectors to load and register full CAD models. Our work extends th...
2203.16582
Fan Feng
Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane
Factored Adaptation for Non-Stationary Reinforcement Learning
Accepted at the NeurIPS 2022
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dealing with non-stationarity in environments (e.g., in the transition dynamics) and objectives (e.g., in the reward functions) is a challenging problem that is crucial in real-world applications of reinforcement learning (RL). While most current approaches model the changes as a single shared embedding vector, we le...
[ { "created": "Wed, 30 Mar 2022 18:14:01 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 02:26:17 GMT", "version": "v2" } ]
2022-10-19
[ [ "Feng", "Fan", "" ], [ "Huang", "Biwei", "" ], [ "Zhang", "Kun", "" ], [ "Magliacane", "Sara", "" ] ]
Dealing with non-stationarity in environments (e.g., in the transition dynamics) and objectives (e.g., in the reward functions) is a challenging problem that is crucial in real-world applications of reinforcement learning (RL). While most current approaches model the changes as a single shared embedding vector, we leve...
2404.12804
Junming Hou
Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Man Zhou, Danfeng Hong
Linearly-evolved Transformer for Pan-sharpening
10 pages
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient. The standard modeling rules within these promising pan-sharpening methods are to roughly stack the transformer variants in a cascaded man...
[ { "created": "Fri, 19 Apr 2024 11:38:34 GMT", "version": "v1" } ]
2024-04-22
[ [ "Hou", "Junming", "" ], [ "Cao", "Zihan", "" ], [ "Zheng", "Naishan", "" ], [ "Li", "Xuan", "" ], [ "Chen", "Xiaoyu", "" ], [ "Liu", "Xinyang", "" ], [ "Cong", "Xiaofeng", "" ], [ "Zhou", "Man",...
Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient. The standard modeling rules within these promising pan-sharpening methods are to roughly stack the transformer variants in a cascaded manne...
2204.03046
Tao Yang
Tao Yang, Zhichao Xu, Qingyao Ai
Vertical Allocation-based Fair Exposure Amortizing in Ranking
11 pages, 3 figures
null
10.1145/3624918.3625313
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Result ranking often affects consumer satisfaction as well as the amount of exposure each item receives in the ranking services. Myopically maximizing customer satisfaction by ranking items only according to relevance will lead to unfair distribution of exposure for items, followed by unfair opportunities and economi...
[ { "created": "Wed, 6 Apr 2022 19:00:02 GMT", "version": "v1" }, { "created": "Mon, 16 Oct 2023 19:53:37 GMT", "version": "v2" } ]
2023-10-18
[ [ "Yang", "Tao", "" ], [ "Xu", "Zhichao", "" ], [ "Ai", "Qingyao", "" ] ]
Result ranking often affects consumer satisfaction as well as the amount of exposure each item receives in the ranking services. Myopically maximizing customer satisfaction by ranking items only according to relevance will lead to unfair distribution of exposure for items, followed by unfair opportunities and economic ...
1007.4864
Martin Macko
Martin Macko, Kate Larson, \v{L}ubo\v{s} Steskal
Braess's Paradox for Flows Over Time
19 pages, 6 figures, an extended version of paper accepted for SAGT 2010
null
10.1007/978-3-642-16170-4_23
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the properties of Braess's paradox in the context of the model of congestion games with flow over time introduced by Koch and Skutella. We compare them to the well known properties of Braess's paradox for Wardrop's model of games with static flows. We show that there are networks which do not admit Braess's ...
[ { "created": "Wed, 28 Jul 2010 03:11:56 GMT", "version": "v1" } ]
2015-05-19
[ [ "Macko", "Martin", "" ], [ "Larson", "Kate", "" ], [ "Steskal", "Ľuboš", "" ] ]
We study the properties of Braess's paradox in the context of the model of congestion games with flow over time introduced by Koch and Skutella. We compare them to the well known properties of Braess's paradox for Wardrop's model of games with static flows. We show that there are networks which do not admit Braess's pa...
1602.07373
Song Wang
Song Wang, Dongchun Ren, Li Chen, Wei Fan, Jun Sun, Satoshi Naoi
On Study of the Binarized Deep Neural Network for Image Classification
9 pages, 6 figures. Rejected conference (CVPR 2015) submission. Submission date: November, 2014. This work is patented in China (NO. 201410647710.3)
null
null
null
cs.NE cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the deep neural network (derived from the artificial neural network) has attracted many researchers' attention by its outstanding performance. However, since this network requires high-performance GPUs and large storage, it is very hard to use it on individual devices. In order to improve the deep neural ne...
[ { "created": "Wed, 24 Feb 2016 02:39:47 GMT", "version": "v1" } ]
2016-02-25
[ [ "Wang", "Song", "" ], [ "Ren", "Dongchun", "" ], [ "Chen", "Li", "" ], [ "Fan", "Wei", "" ], [ "Sun", "Jun", "" ], [ "Naoi", "Satoshi", "" ] ]
Recently, the deep neural network (derived from the artificial neural network) has attracted many researchers' attention by its outstanding performance. However, since this network requires high-performance GPUs and large storage, it is very hard to use it on individual devices. In order to improve the deep neural netw...
1910.10749
Yisroel Mirsky Dr.
Naor Kalbo, Yisroel Mirsky, Asaf Shabtai, Yuval Elovici
The Security of IP-based Video Surveillance Systems
null
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
IP-based Surveillance systems protect industrial facilities, railways, gas stations, and even one's own home. Therefore, unauthorized access to these systems has serious security implications. In this survey, we analyze the system's (1) threat agents, (2) attack goals, (3) practical attacks, (4) possible attack outco...
[ { "created": "Wed, 23 Oct 2019 18:13:37 GMT", "version": "v1" } ]
2019-10-25
[ [ "Kalbo", "Naor", "" ], [ "Mirsky", "Yisroel", "" ], [ "Shabtai", "Asaf", "" ], [ "Elovici", "Yuval", "" ] ]
IP-based Surveillance systems protect industrial facilities, railways, gas stations, and even one's own home. Therefore, unauthorized access to these systems has serious security implications. In this survey, we analyze the system's (1) threat agents, (2) attack goals, (3) practical attacks, (4) possible attack outcome...
1811.11721
Yunchao Wei
Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang
CCNet: Criss-Cross Attention for Semantic Segmentation
IEEE TPAMI 2020 & ICCV 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contextual information is vital in visual understanding problems, such as semantic segmentation and object detection. We propose a Criss-Cross Network (CCNet) for obtaining full-image contextual information in a very effective and efficient way. Concretely, for each pixel, a novel criss-cross attention module harvest...
[ { "created": "Wed, 28 Nov 2018 18:18:27 GMT", "version": "v1" }, { "created": "Thu, 9 Jul 2020 12:17:28 GMT", "version": "v2" } ]
2020-07-10
[ [ "Huang", "Zilong", "" ], [ "Wang", "Xinggang", "" ], [ "Wei", "Yunchao", "" ], [ "Huang", "Lichao", "" ], [ "Shi", "Humphrey", "" ], [ "Liu", "Wenyu", "" ], [ "Huang", "Thomas S.", "" ] ]
Contextual information is vital in visual understanding problems, such as semantic segmentation and object detection. We propose a Criss-Cross Network (CCNet) for obtaining full-image contextual information in a very effective and efficient way. Concretely, for each pixel, a novel criss-cross attention module harvests ...
2109.00863
Partha Das
Partha Das, Yang Liu, Sezer Karaoglu and Theo Gevers
Generative Models for Multi-Illumination Color Constancy
Accepted in International Conference on Computer Vision Workshop (ICCVW) 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for learning multiple illumination color constancy are largely missing. We propose a seed (physics driven) based multi-illumination color con...
[ { "created": "Thu, 2 Sep 2021 12:24:40 GMT", "version": "v1" } ]
2021-09-03
[ [ "Das", "Partha", "" ], [ "Liu", "Yang", "" ], [ "Karaoglu", "Sezer", "" ], [ "Gevers", "Theo", "" ] ]
In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for learning multiple illumination color constancy are largely missing. We propose a seed (physics driven) based multi-illumination color const...
1812.06158
Maksim Kretov
Alexander Fritzler and Varvara Logacheva and Maksim Kretov
Few-shot classification in Named Entity Recognition Task
In proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
null
10.1145/3297280.3297378
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning. In this work we tackle Named Entity Recognition (NER) task using Prototypical Network - a metric learning technique. It ...
[ { "created": "Fri, 14 Dec 2018 20:39:47 GMT", "version": "v1" } ]
2018-12-18
[ [ "Fritzler", "Alexander", "" ], [ "Logacheva", "Varvara", "" ], [ "Kretov", "Maksim", "" ] ]
For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning. In this work we tackle Named Entity Recognition (NER) task using Prototypical Network - a metric learning technique. It le...
1910.08579
Satyaki Sikdar
Justus Hibshman, Satyaki Sikdar, Tim Weninger
Towards Interpretable Graph Modeling with Vertex Replacement Grammars
10 pages, 9 figures, accepted at IEEE BigData 2019
null
10.1109/BigData47090.2019.9006204
null
cs.SI cs.DM
http://creativecommons.org/licenses/by/4.0/
An enormous amount of real-world data exists in the form of graphs. Oftentimes, interesting patterns that describe the complex dynamics of these graphs are captured in the form of frequently reoccurring substructures. Recent work at the intersection of formal language theory and graph theory has explored the use of g...
[ { "created": "Fri, 18 Oct 2019 18:30:04 GMT", "version": "v1" } ]
2023-01-06
[ [ "Hibshman", "Justus", "" ], [ "Sikdar", "Satyaki", "" ], [ "Weninger", "Tim", "" ] ]
An enormous amount of real-world data exists in the form of graphs. Oftentimes, interesting patterns that describe the complex dynamics of these graphs are captured in the form of frequently reoccurring substructures. Recent work at the intersection of formal language theory and graph theory has explored the use of gra...
1812.04048
Xin Zhang
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks
11 pages, 11 figures, IEEE INFOCOM 2019
null
null
null
cs.DC cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network consensus optimization has received increasing attention in recent years and has found important applications in many scientific and engineering fields. To solve network consensus optimization problems, one of the most well-known approaches is the distributed gradient descent method (DGD). However, in network...
[ { "created": "Mon, 10 Dec 2018 19:37:26 GMT", "version": "v1" }, { "created": "Sat, 26 Jan 2019 01:48:51 GMT", "version": "v2" }, { "created": "Wed, 10 Apr 2019 22:11:08 GMT", "version": "v3" }, { "created": "Sun, 21 Jul 2019 19:48:29 GMT", "version": "v4" }, { "c...
2019-09-10
[ [ "Zhang", "Xin", "" ], [ "Liu", "Jia", "" ], [ "Zhu", "Zhengyuan", "" ], [ "Bentley", "Elizabeth S.", "" ] ]
Network consensus optimization has received increasing attention in recent years and has found important applications in many scientific and engineering fields. To solve network consensus optimization problems, one of the most well-known approaches is the distributed gradient descent method (DGD). However, in networks ...
1606.02007
Amir Vahid Dastjerdi
Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh, and Rajkumar Buyya
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Cloud Computing and Distributed Systems Laboratory, The University of Melbourne, June 6, 2016
null
null
CLOUDS-TR-2016-2
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Internet of Things (IoT) aims to bring every object (e.g. smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive amounts of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that...
[ { "created": "Tue, 7 Jun 2016 02:54:45 GMT", "version": "v1" } ]
2016-06-08
[ [ "Gupta", "Harshit", "" ], [ "Dastjerdi", "Amir Vahid", "" ], [ "Ghosh", "Soumya K.", "" ], [ "Buyya", "Rajkumar", "" ] ]
Internet of Things (IoT) aims to bring every object (e.g. smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive amounts of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that c...
1509.07947
Jun Zhang
Jun Zhang, Urbashi Mitra, Kuan-Wen Huang and Nicolo Michelusi
A new result of the scaling law of weighted L1 minimization
6 pages, 6 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper study recovery conditions of weighted L1 minimization for signal reconstruction from compressed sensing measurements. A sufficient condition for exact recovery by using the general weighted L1 minimization is derived, which builds a direct relationship between the weights and the recoverability. Simulation...
[ { "created": "Sat, 26 Sep 2015 05:43:17 GMT", "version": "v1" } ]
2015-09-29
[ [ "Zhang", "Jun", "" ], [ "Mitra", "Urbashi", "" ], [ "Huang", "Kuan-Wen", "" ], [ "Michelusi", "Nicolo", "" ] ]
This paper study recovery conditions of weighted L1 minimization for signal reconstruction from compressed sensing measurements. A sufficient condition for exact recovery by using the general weighted L1 minimization is derived, which builds a direct relationship between the weights and the recoverability. Simulation r...
1911.10435
Carlos M. Ortiz
Brett Jefferson, Carlos Ortiz Marrero
Robust Assessment of Real-World Adversarial Examples
updated title and abstract; minor edits; some reformatting; added figure 3
null
null
PNNL-SA-149173
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore rigorous, systematic, and controlled experimental evaluation of adversarial examples in the real world and propose a testing regimen for evaluation of real world adversarial objects. We show that for small scene/ environmental perturbations, large adversarial performance differences exist. Current state of...
[ { "created": "Sun, 24 Nov 2019 00:00:33 GMT", "version": "v1" }, { "created": "Sun, 15 Mar 2020 01:21:42 GMT", "version": "v2" } ]
2020-03-17
[ [ "Jefferson", "Brett", "" ], [ "Marrero", "Carlos Ortiz", "" ] ]
We explore rigorous, systematic, and controlled experimental evaluation of adversarial examples in the real world and propose a testing regimen for evaluation of real world adversarial objects. We show that for small scene/ environmental perturbations, large adversarial performance differences exist. Current state of a...
1205.4984
Sreedhar Kallem k
K. Sreedhar and Y. Sreenivasulu
Determination of RF source power in WPSN using modulated backscattering
10 pages; International Journal on Soft Computing (IJSC) Vol.3, No.1 (2012). arXiv admin note: text overlap with arXiv:1001.5339 by other authors
null
10.5121/ijsc.2012.3104
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. During RF transmission energy consume...
[ { "created": "Fri, 9 Mar 2012 13:40:22 GMT", "version": "v1" } ]
2012-05-23
[ [ "Sreedhar", "K.", "" ], [ "Sreenivasulu", "Y.", "" ] ]
A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. During RF transmission energy consumed ...
1812.01069
Sharon Shoham Buchbinder
Sharon Shoham
Undecidability of Inferring Linear Integer Invariants
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the problem of determining the existence of an inductive invariant in the language of quantifier free linear integer arithmetic (QFLIA) is undecidable, even for transition systems and safety properties expressed in QFLIA.
[ { "created": "Mon, 3 Dec 2018 20:26:55 GMT", "version": "v1" }, { "created": "Thu, 6 Dec 2018 21:03:30 GMT", "version": "v2" } ]
2018-12-10
[ [ "Shoham", "Sharon", "" ] ]
We show that the problem of determining the existence of an inductive invariant in the language of quantifier free linear integer arithmetic (QFLIA) is undecidable, even for transition systems and safety properties expressed in QFLIA.
0809.2446
Ananthanarayanan Chockalingam
Saif K. Mohammed, Ahmed Zaki, A. Chockalingam, and B. Sundar Rajan
High-Rate Space-Time Coded Large MIMO Systems: Low-Complexity Detection and Channel Estimation
v3: Performance/complexity comparison of the proposed scheme with other large-MIMO architectures/detectors has been added (Sec. IV-D). The paper has been accepted for publication in IEEE Journal of Selected Topics in Signal Processing (JSTSP): Spl. Iss. on Managing Complexity in Multiuser MIMO Systems. v2: Sect...
null
10.1109/JSTSP.2009.2035862
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a low-complexity algorithm for detection in high-rate, non-orthogonal space-time block coded (STBC) large-MIMO systems that achieve high spectral efficiencies of the order of tens of bps/Hz. We also present a training-based iterative detection/channel estimation scheme for such large STBC MI...
[ { "created": "Mon, 15 Sep 2008 05:55:41 GMT", "version": "v1" }, { "created": "Sat, 4 Oct 2008 06:32:48 GMT", "version": "v2" }, { "created": "Wed, 16 Sep 2009 07:57:12 GMT", "version": "v3" } ]
2015-05-13
[ [ "Mohammed", "Saif K.", "" ], [ "Zaki", "Ahmed", "" ], [ "Chockalingam", "A.", "" ], [ "Rajan", "B. Sundar", "" ] ]
In this paper, we present a low-complexity algorithm for detection in high-rate, non-orthogonal space-time block coded (STBC) large-MIMO systems that achieve high spectral efficiencies of the order of tens of bps/Hz. We also present a training-based iterative detection/channel estimation scheme for such large STBC MIMO...
2303.07938
Zhaoyang Lyu
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Accepted to CVPR 2023. Project page is at https://slide-3d.github.io
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Mesh generation is of great value in various applications involving computer graphics and virtual content, yet designing generative models for meshes is challenging due to their irregular data structure and inconsistent topology of meshes in the same category. In this work, we design a novel sparse latent point diffu...
[ { "created": "Tue, 14 Mar 2023 14:25:29 GMT", "version": "v1" }, { "created": "Wed, 15 Mar 2023 03:13:08 GMT", "version": "v2" } ]
2023-03-16
[ [ "Lyu", "Zhaoyang", "" ], [ "Wang", "Jinyi", "" ], [ "An", "Yuwei", "" ], [ "Zhang", "Ya", "" ], [ "Lin", "Dahua", "" ], [ "Dai", "Bo", "" ] ]
Mesh generation is of great value in various applications involving computer graphics and virtual content, yet designing generative models for meshes is challenging due to their irregular data structure and inconsistent topology of meshes in the same category. In this work, we design a novel sparse latent point diffusi...
1905.09880
Samad Ali
Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva, Walid Saad, Jussi Haapola
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a novel approach based on the concept of opportunistic spatial orthogonalization (OSO) is proposed for interference management between machine type communications (MTC) and conventional cellular communications. In particular, a cellular system is considered with a multi-antenna BS in which a receive be...
[ { "created": "Thu, 23 May 2019 19:20:00 GMT", "version": "v1" } ]
2019-05-27
[ [ "Ali", "Samad", "" ], [ "Asgharimoghaddam", "Hossein", "" ], [ "Rajatheva", "Nandana", "" ], [ "Saad", "Walid", "" ], [ "Haapola", "Jussi", "" ] ]
In this paper, a novel approach based on the concept of opportunistic spatial orthogonalization (OSO) is proposed for interference management between machine type communications (MTC) and conventional cellular communications. In particular, a cellular system is considered with a multi-antenna BS in which a receive beam...
2210.12634
Yang Zhan
Yang Zhan, Zhitong Xiong and Yuan Yuan
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
12 pages, 10 figures
null
10.1109/TGRS.2023.3250471
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce the task of visual grounding for remote sensing data (RSVG). RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. To retrieve rich information from RS imagery using natural language, many research tasks, like RS image visual questi...
[ { "created": "Sun, 23 Oct 2022 07:08:22 GMT", "version": "v1" } ]
2023-05-03
[ [ "Zhan", "Yang", "" ], [ "Xiong", "Zhitong", "" ], [ "Yuan", "Yuan", "" ] ]
In this paper, we introduce the task of visual grounding for remote sensing data (RSVG). RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. To retrieve rich information from RS imagery using natural language, many research tasks, like RS image visual question...
2007.04169
Jay Budzik
Geoff Ward, Sean Kamkar, Jay Budzik
An exploration of the influence of path choice in game-theoretic attribution algorithms
21 pages, 12 figures
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We compare machine learning explainability methods based on the theory of atomic (Shapley, 1953) and infinitesimal (Aumann and Shapley, 1974) games, in a theoretical and experimental investigation into how the model and choice of integration path can influence the resulting feature attributions. To gain insight into ...
[ { "created": "Wed, 8 Jul 2020 14:57:28 GMT", "version": "v1" }, { "created": "Fri, 26 Feb 2021 19:33:47 GMT", "version": "v2" } ]
2021-03-02
[ [ "Ward", "Geoff", "" ], [ "Kamkar", "Sean", "" ], [ "Budzik", "Jay", "" ] ]
We compare machine learning explainability methods based on the theory of atomic (Shapley, 1953) and infinitesimal (Aumann and Shapley, 1974) games, in a theoretical and experimental investigation into how the model and choice of integration path can influence the resulting feature attributions. To gain insight into di...
1806.08114
Mehdi Baniasadi
Mehdi Baniasadi, Maryam Baniasadi, Gabriele Pozzetti, Bernhard Peters
A numerical study on the softening process of iron ore particles in the cohesive zone of an experimental blast furnace using a coupled CFD-DEM method
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reduced iron-bearing materials start softening in the cohesive zone of a blast furnace due to the high temperature and the weight of the burden above. Softening process causes a reduction of void space between particles. As a result, the pressure drop and gas flow change remarkably in this particular zone. As a conse...
[ { "created": "Thu, 21 Jun 2018 08:52:44 GMT", "version": "v1" } ]
2018-06-22
[ [ "Baniasadi", "Mehdi", "" ], [ "Baniasadi", "Maryam", "" ], [ "Pozzetti", "Gabriele", "" ], [ "Peters", "Bernhard", "" ] ]
Reduced iron-bearing materials start softening in the cohesive zone of a blast furnace due to the high temperature and the weight of the burden above. Softening process causes a reduction of void space between particles. As a result, the pressure drop and gas flow change remarkably in this particular zone. As a consequ...
2003.12719
Junjie Yu
Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek
Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing
null
null
null
null
cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile Edge Computing (MEC) enables rich services in close proximity to the end users to provide high quality of experience (QoE) and contributes to energy conservation compared with local computing, but results in increased communication latency. In this paper, we investigate how to jointly optimize task offloading ...
[ { "created": "Sat, 28 Mar 2020 05:52:24 GMT", "version": "v1" } ]
2020-03-31
[ [ "Zhao", "Mingxiong", "" ], [ "Yu", "Jun-Jie", "" ], [ "Li", "Wen-Tao", "" ], [ "Liu", "Di", "" ], [ "Yao", "Shaowen", "" ], [ "Feng", "Wei", "" ], [ "She", "Changyang", "" ], [ "Quek", "Tony Q. ...
Mobile Edge Computing (MEC) enables rich services in close proximity to the end users to provide high quality of experience (QoE) and contributes to energy conservation compared with local computing, but results in increased communication latency. In this paper, we investigate how to jointly optimize task offloading an...
2311.15627
Jin Zhong
Zezhong Jin, Youzhi Tu, Man-Wai Mak
Phonetic-aware speaker embedding for far-field speaker verification
submitted to ICASSP2024
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When a speaker verification (SV) system operates far from the sound sourced, significant challenges arise due to the interference of noise and reverberation. Studies have shown that incorporating phonetic information into speaker embedding can improve the performance of text-independent SV. Inspired by this observati...
[ { "created": "Mon, 27 Nov 2023 08:45:35 GMT", "version": "v1" } ]
2023-11-28
[ [ "Jin", "Zezhong", "" ], [ "Tu", "Youzhi", "" ], [ "Mak", "Man-Wai", "" ] ]
When a speaker verification (SV) system operates far from the sound sourced, significant challenges arise due to the interference of noise and reverberation. Studies have shown that incorporating phonetic information into speaker embedding can improve the performance of text-independent SV. Inspired by this observation...
2405.02994
Duc Cuong Nguyen
Cuong Duc Nguyen
Extended State Observer for Mismatch Disturbances Using Taylor Approximation of the Integral
null
null
null
null
cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
The development of disturbance estimators using extended state observers (ESOs) typically assumes that the system is observable. This paper introduces an improved method for systems that are initially unobservable, leveraging Taylor expansion to approximate the integral of disturbance dynamics. A new extended system ...
[ { "created": "Sun, 5 May 2024 16:32:46 GMT", "version": "v1" } ]
2024-05-07
[ [ "Nguyen", "Cuong Duc", "" ] ]
The development of disturbance estimators using extended state observers (ESOs) typically assumes that the system is observable. This paper introduces an improved method for systems that are initially unobservable, leveraging Taylor expansion to approximate the integral of disturbance dynamics. A new extended system is...
1901.04637
Antao Zhou
Gang Cao, Antao Zhou, Xianglin Huang, Gege Song, Lifang Yang, Yonggui Zhu
Resampling detection of recompressed images via dual-stream convolutional neural network
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images, which are yielded by applying resampling followed by post-JPEG compression to primary JPEG images. Except for the scenario of low quality ...
[ { "created": "Tue, 15 Jan 2019 02:15:26 GMT", "version": "v1" }, { "created": "Tue, 26 Feb 2019 02:36:11 GMT", "version": "v2" }, { "created": "Fri, 10 May 2019 08:10:33 GMT", "version": "v3" } ]
2019-05-13
[ [ "Cao", "Gang", "" ], [ "Zhou", "Antao", "" ], [ "Huang", "Xianglin", "" ], [ "Song", "Gege", "" ], [ "Yang", "Lifang", "" ], [ "Zhu", "Yonggui", "" ] ]
Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images, which are yielded by applying resampling followed by post-JPEG compression to primary JPEG images. Except for the scenario of low quality pr...
2204.12169
Thokozile Manaka Ms
Thokozile Manaka and Terence Van Zyl and Alisha N Wade and Deepak Kar
Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia
13 pages, 5 figures, Southern African Conference for Artificial Intelligence Research
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
Lower-and-middle income countries are faced with challenges arising from a lack of data on cause of death (COD), which can limit decisions on population health and disease management. A verbal autopsy(VA) can provide information about a COD in areas without robust death registration systems. A VA consists of structur...
[ { "created": "Tue, 26 Apr 2022 09:14:11 GMT", "version": "v1" } ]
2022-04-27
[ [ "Manaka", "Thokozile", "" ], [ "Van Zyl", "Terence", "" ], [ "Wade", "Alisha N", "" ], [ "Kar", "Deepak", "" ] ]
Lower-and-middle income countries are faced with challenges arising from a lack of data on cause of death (COD), which can limit decisions on population health and disease management. A verbal autopsy(VA) can provide information about a COD in areas without robust death registration systems. A VA consists of structured...
2206.06878
Justice Darko
Hyoshin Park and Justice Darko and Niharika Deshpande and Venktesh Pandey and Hui Su and Masahiro Ono and Dedrick Barkely and Larkin Folsom and Derek Posselt and Steve Chien
Temporal Multimodal Multivariate Learning
11 pages, 12 figures, SIGKDD Conference on Knowledge Discovery and Data Mining,
null
10.1145/3534678.3539159
null
cs.LG cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We introduce temporal multimodal multivariate learning, a new family of decision making models that can indirectly learn and transfer online information from simultaneous observations of a probability distribution with more than one peak or more than one outcome variable from one time stage to another. We approximate...
[ { "created": "Tue, 14 Jun 2022 14:24:47 GMT", "version": "v1" } ]
2022-06-15
[ [ "Park", "Hyoshin", "" ], [ "Darko", "Justice", "" ], [ "Deshpande", "Niharika", "" ], [ "Pandey", "Venktesh", "" ], [ "Su", "Hui", "" ], [ "Ono", "Masahiro", "" ], [ "Barkely", "Dedrick", "" ], [ "F...
We introduce temporal multimodal multivariate learning, a new family of decision making models that can indirectly learn and transfer online information from simultaneous observations of a probability distribution with more than one peak or more than one outcome variable from one time stage to another. We approximate t...
2405.02719
Christopher Denniston
Christopher E. Denniston, Bask{\i}n \c{S}enba\c{s}lar, Gaurav S. Sukhatme
Active Signal Emitter Placement In Complex Environments
Submitted to RA-L
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Placement of electromagnetic signal emitting devices, such as light sources, has important usage in for signal coverage tasks. Automatic placement of these devices is challenging because of the complex interaction of the signal and environment due to reflection, refraction and scattering. In this work, we iteratively...
[ { "created": "Sat, 4 May 2024 17:29:18 GMT", "version": "v1" } ]
2024-05-07
[ [ "Denniston", "Christopher E.", "" ], [ "Şenbaşlar", "Baskın", "" ], [ "Sukhatme", "Gaurav S.", "" ] ]
Placement of electromagnetic signal emitting devices, such as light sources, has important usage in for signal coverage tasks. Automatic placement of these devices is challenging because of the complex interaction of the signal and environment due to reflection, refraction and scattering. In this work, we iteratively i...
1002.1151
Vishal Goyal
Manju Sharma, Lalit Awasthi
Realistic Approach towards Quantitative Analysis and Simulation of EEHC-Based Routing for Wireless Sensor Networks
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 1, January 2010, http://ijcsi.org/articles/Realistic-Approach-towards-Quantitative-Analysis-and-Simulation-of-EEHC-Based-Routing-for-Wireless-Sensor-Networks.php
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 1, January 2010, http://ijcsi.org/articles/Realistic-Approach-towards-Quantitative-Analysis-and-Simulation-of-EEHC-Based-Routing-for-Wireless-Sensor-Networks.php
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the realistic approach towards the quantitative analysis and simulation of Energy Efficient Hierarchical Cluster (EEHC)-based routing for wireless sensor networks. Here the efforts have been done to combine analytical hardware model with the modified EEHC-based routing model. The dependence of var...
[ { "created": "Fri, 5 Feb 2010 08:46:03 GMT", "version": "v1" } ]
2010-02-08
[ [ "Sharma", "Manju", "" ], [ "Awasthi", "Lalit", "" ] ]
This paper presents the realistic approach towards the quantitative analysis and simulation of Energy Efficient Hierarchical Cluster (EEHC)-based routing for wireless sensor networks. Here the efforts have been done to combine analytical hardware model with the modified EEHC-based routing model. The dependence of vario...
1304.1084
Yizong Cheng
Yizong Cheng
Context-Dependent Similarity
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)
null
null
UAI-P-1990-PG-27-31
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Attribute weighting and differential weighting, two major mechanisms for computing context-dependent similarity or dissimilarity measures are studied and compared. A dissimilarity measure based on subset size in the context is proposed and its metrization and application are given. It is also shown that while all att...
[ { "created": "Wed, 27 Mar 2013 13:54:46 GMT", "version": "v1" } ]
2013-04-05
[ [ "Cheng", "Yizong", "" ] ]
Attribute weighting and differential weighting, two major mechanisms for computing context-dependent similarity or dissimilarity measures are studied and compared. A dissimilarity measure based on subset size in the context is proposed and its metrization and application are given. It is also shown that while all attri...
1806.03218
Alexey Zaytsev
Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla Ismailova, Ekaterina Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry Koroteev
Data-driven model for the identification of the rock type at a drilling bit
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Directional oil well drilling requires high precision of the wellbore positioning inside the productive area. However, due to specifics of engineering design, sensors that explicitly determine the type of the drilled rock are located farther than 15m from the drilling bit. As a result, the target area runaways can be...
[ { "created": "Fri, 8 Jun 2018 15:28:54 GMT", "version": "v1" }, { "created": "Thu, 13 Sep 2018 15:26:39 GMT", "version": "v2" }, { "created": "Mon, 25 Mar 2019 11:54:38 GMT", "version": "v3" } ]
2019-03-26
[ [ "Klyuchnikov", "Nikita", "" ], [ "Zaytsev", "Alexey", "" ], [ "Gruzdev", "Arseniy", "" ], [ "Ovchinnikov", "Georgiy", "" ], [ "Antipova", "Ksenia", "" ], [ "Ismailova", "Leyla", "" ], [ "Muravleva", "Ekaterina"...
Directional oil well drilling requires high precision of the wellbore positioning inside the productive area. However, due to specifics of engineering design, sensors that explicitly determine the type of the drilled rock are located farther than 15m from the drilling bit. As a result, the target area runaways can be d...
2404.05583
Yue-Hua Han
Yue-Hua Han, Tai-Ming Huang, Shu-Tzu Lo, Po-Han Huang, Kai-Lung Hua, Jun-Cheng Chen
Towards More General Video-based Deepfake Detection through Facial Feature Guided Adaptation for Foundation Model
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rise of deep learning, generative models have enabled the creation of highly realistic synthetic images, presenting challenges due to their potential misuse. While research in Deepfake detection has grown rapidly in response, many detection methods struggle with unseen Deepfakes generated by new synthesis te...
[ { "created": "Mon, 8 Apr 2024 14:58:52 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 06:29:37 GMT", "version": "v2" } ]
2024-06-06
[ [ "Han", "Yue-Hua", "" ], [ "Huang", "Tai-Ming", "" ], [ "Lo", "Shu-Tzu", "" ], [ "Huang", "Po-Han", "" ], [ "Hua", "Kai-Lung", "" ], [ "Chen", "Jun-Cheng", "" ] ]
With the rise of deep learning, generative models have enabled the creation of highly realistic synthetic images, presenting challenges due to their potential misuse. While research in Deepfake detection has grown rapidly in response, many detection methods struggle with unseen Deepfakes generated by new synthesis tech...
2206.06440
Yuliya Lierler
Yuliya Lierler
An Abstract View on Optimizations in Propositional Frameworks
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Search-optimization problems are plentiful in scientific and engineering domains. Artificial intelligence has long contributed to the development of search algorithms and declarative programming languages geared toward solving and modeling search-optimization problems. Automated reasoning and knowledge representation...
[ { "created": "Mon, 13 Jun 2022 19:44:01 GMT", "version": "v1" }, { "created": "Wed, 1 Mar 2023 16:03:12 GMT", "version": "v2" }, { "created": "Mon, 20 Mar 2023 22:23:20 GMT", "version": "v3" } ]
2023-03-22
[ [ "Lierler", "Yuliya", "" ] ]
Search-optimization problems are plentiful in scientific and engineering domains. Artificial intelligence has long contributed to the development of search algorithms and declarative programming languages geared toward solving and modeling search-optimization problems. Automated reasoning and knowledge representation a...
2404.11025
Sanggeon Yun
Sanggeon Yun, Ryozo Masukawa, SungHeon Jeong, Mohsen Imani
NeuroHash: A Hyperdimensional Neuro-Symbolic Framework for Spatially-Aware Image Hashing and Retrieval
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Customizable image retrieval from large datasets remains a critical challenge, particularly when preserving spatial relationships within images. Traditional hashing methods, primarily based on deep learning, often fail to capture spatial information adequately and lack transparency. In this paper, we introduce NeuroH...
[ { "created": "Wed, 17 Apr 2024 03:01:47 GMT", "version": "v1" }, { "created": "Wed, 15 May 2024 19:07:43 GMT", "version": "v2" }, { "created": "Wed, 22 May 2024 16:59:14 GMT", "version": "v3" } ]
2024-05-24
[ [ "Yun", "Sanggeon", "" ], [ "Masukawa", "Ryozo", "" ], [ "Jeong", "SungHeon", "" ], [ "Imani", "Mohsen", "" ] ]
Customizable image retrieval from large datasets remains a critical challenge, particularly when preserving spatial relationships within images. Traditional hashing methods, primarily based on deep learning, often fail to capture spatial information adequately and lack transparency. In this paper, we introduce NeuroHas...
2101.01710
Prune Truong
Prune Truong and Martin Danelljan and Luc Van Gool and Radu Timofte
Learning Accurate Dense Correspondences and When to Trust Them
CVPR 2021 ORAL Code: https://github.com/PruneTruong/PDCNet Website:https://prunetruong.com/research/pdcnet
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021, CVPR 2021
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Establishing dense correspondences between a pair of images is an important and general problem. However, dense flow estimation is often inaccurate in the case of large displacements or homogeneous regions. For most applications and down-stream tasks, such as pose estimation, image manipulation, or 3D reconstruction,...
[ { "created": "Tue, 5 Jan 2021 18:54:11 GMT", "version": "v1" }, { "created": "Thu, 1 Apr 2021 16:57:01 GMT", "version": "v2" } ]
2021-04-02
[ [ "Truong", "Prune", "" ], [ "Danelljan", "Martin", "" ], [ "Van Gool", "Luc", "" ], [ "Timofte", "Radu", "" ] ]
Establishing dense correspondences between a pair of images is an important and general problem. However, dense flow estimation is often inaccurate in the case of large displacements or homogeneous regions. For most applications and down-stream tasks, such as pose estimation, image manipulation, or 3D reconstruction, i...
2309.09482
Gang Cao
Man Lin, Gang Cao, Zijie Lou
Spatio-temporal Co-attention Fusion Network for Video Splicing Localization
null
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital video splicing has become easy and ubiquitous. Malicious users copy some regions of a video and paste them to another video for creating realistic forgeries. It is significant to blindly detect such forgery regions in videos. In this paper, a spatio-temporal co-attention fusion network (SCFNet) is proposed fo...
[ { "created": "Mon, 18 Sep 2023 04:46:30 GMT", "version": "v1" } ]
2023-09-19
[ [ "Lin", "Man", "" ], [ "Cao", "Gang", "" ], [ "Lou", "Zijie", "" ] ]
Digital video splicing has become easy and ubiquitous. Malicious users copy some regions of a video and paste them to another video for creating realistic forgeries. It is significant to blindly detect such forgery regions in videos. In this paper, a spatio-temporal co-attention fusion network (SCFNet) is proposed for ...
2302.11264
Jesse van Rhijn
Bodo Manthey and Jesse van Rhijn
Approximation Ineffectiveness of a Tour-Untangling Heuristic
Accepted for presentation at WAOA 2023
null
null
null
cs.DS cs.DM math.PR
http://creativecommons.org/licenses/by/4.0/
We analyze a tour-uncrossing heuristic for the Travelling Salesperson Problem, showing that its worst-case approximation ratio is $\Omega(n)$ and its average-case approximation ratio is $\Omega(\sqrt{n})$ in expectation. We furthermore evaluate the approximation performance of this heuristic numerically on average-ca...
[ { "created": "Wed, 22 Feb 2023 10:22:18 GMT", "version": "v1" }, { "created": "Mon, 1 May 2023 15:01:14 GMT", "version": "v2" }, { "created": "Tue, 22 Aug 2023 13:17:18 GMT", "version": "v3" } ]
2023-08-23
[ [ "Manthey", "Bodo", "" ], [ "van Rhijn", "Jesse", "" ] ]
We analyze a tour-uncrossing heuristic for the Travelling Salesperson Problem, showing that its worst-case approximation ratio is $\Omega(n)$ and its average-case approximation ratio is $\Omega(\sqrt{n})$ in expectation. We furthermore evaluate the approximation performance of this heuristic numerically on average-case...
2404.02090
Denis Antipov
Denis Antipov, Benjamin Doerr, Alexandra Ivanova
Already Moderate Population Sizes Provably Yield Strong Robustness to Noise
Full version of the same-titled paper accepted at GECCO 2024
GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, 1524-1532, 2024. ACM
10.1145/3638529.3654196
null
cs.NE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Experience shows that typical evolutionary algorithms can cope well with stochastic disturbances such as noisy function evaluations. In this first mathematical runtime analysis of the $(1+\lambda)$ and $(1,\lambda)$ evolutionary algorithms in the presence of prior bit-wise noise, we show that both algorithms can to...
[ { "created": "Tue, 2 Apr 2024 16:35:52 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2024 01:07:43 GMT", "version": "v2" }, { "created": "Thu, 2 May 2024 04:44:50 GMT", "version": "v3" }, { "created": "Mon, 13 May 2024 05:01:01 GMT", "version": "v4" } ]
2024-07-17
[ [ "Antipov", "Denis", "" ], [ "Doerr", "Benjamin", "" ], [ "Ivanova", "Alexandra", "" ] ]
Experience shows that typical evolutionary algorithms can cope well with stochastic disturbances such as noisy function evaluations. In this first mathematical runtime analysis of the $(1+\lambda)$ and $(1,\lambda)$ evolutionary algorithms in the presence of prior bit-wise noise, we show that both algorithms can tolera...
1611.00211
Haitian Pang
Haitian Pang, Lin Gao, Lifeng Sun
Joint Optimization of Data Sponsoring and Edge Caching for Mobile Video Delivery
accepted by GLOBECOM 2016
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the CP's revenue. Specifically, we formulate the joint optimization problem as a two-stage decision problem for the CP. In Stage I, the CP de...
[ { "created": "Tue, 1 Nov 2016 13:10:06 GMT", "version": "v1" } ]
2016-11-02
[ [ "Pang", "Haitian", "" ], [ "Gao", "Lin", "" ], [ "Sun", "Lifeng", "" ] ]
In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the CP's revenue. Specifically, we formulate the joint optimization problem as a two-stage decision problem for the CP. In Stage I, the CP dete...
2404.03187
Tianrui Guan
Tianrui Guan, Ruiqi Xian, Xijun Wang, Xiyang Wu, Mohamed Elnoor, Daeun Song, Dinesh Manocha
AGL-NET: Aerial-Ground Cross-Modal Global Localization with Varying Scales
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present AGL-NET, a novel learning-based method for global localization using LiDAR point clouds and satellite maps. AGL-NET tackles two critical challenges: bridging the representation gap between image and points modalities for robust feature matching, and handling inherent scale discrepancies between global view...
[ { "created": "Thu, 4 Apr 2024 04:12:30 GMT", "version": "v1" } ]
2024-04-05
[ [ "Guan", "Tianrui", "" ], [ "Xian", "Ruiqi", "" ], [ "Wang", "Xijun", "" ], [ "Wu", "Xiyang", "" ], [ "Elnoor", "Mohamed", "" ], [ "Song", "Daeun", "" ], [ "Manocha", "Dinesh", "" ] ]
We present AGL-NET, a novel learning-based method for global localization using LiDAR point clouds and satellite maps. AGL-NET tackles two critical challenges: bridging the representation gap between image and points modalities for robust feature matching, and handling inherent scale discrepancies between global view a...
2404.07956
Huan Zhang
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Paper accepted by ICML 2024
null
null
null
cs.LG cs.AI cs.RO cs.SY eess.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning-based neural network (NN) control policies have shown impressive empirical performance in a wide range of tasks in robotics and control. However, formal (Lyapunov) stability guarantees over the region-of-attraction (ROA) for NN controllers with nonlinear dynamical systems are challenging to obtain, and most ...
[ { "created": "Thu, 11 Apr 2024 17:49:15 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 00:30:57 GMT", "version": "v2" } ]
2024-06-06
[ [ "Yang", "Lujie", "" ], [ "Dai", "Hongkai", "" ], [ "Shi", "Zhouxing", "" ], [ "Hsieh", "Cho-Jui", "" ], [ "Tedrake", "Russ", "" ], [ "Zhang", "Huan", "" ] ]
Learning-based neural network (NN) control policies have shown impressive empirical performance in a wide range of tasks in robotics and control. However, formal (Lyapunov) stability guarantees over the region-of-attraction (ROA) for NN controllers with nonlinear dynamical systems are challenging to obtain, and most ex...
2010.12537
Haoyu Dong
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
KDD'21
null
10.1145/3447548.3467434
null
cs.IR cs.AI cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tables are widely used with various structures to organize and present data. Recent attempts on table understanding mainly focus on relational tables, yet overlook to other common table structures. In this paper, we propose TUTA, a unified pre-training architecture for understanding generally structured tables. Notic...
[ { "created": "Wed, 21 Oct 2020 13:22:31 GMT", "version": "v1" }, { "created": "Fri, 6 Nov 2020 06:56:14 GMT", "version": "v2" }, { "created": "Wed, 16 Jun 2021 13:20:11 GMT", "version": "v3" }, { "created": "Tue, 20 Jul 2021 01:18:05 GMT", "version": "v4" } ]
2021-07-21
[ [ "Wang", "Zhiruo", "" ], [ "Dong", "Haoyu", "" ], [ "Jia", "Ran", "" ], [ "Li", "Jia", "" ], [ "Fu", "Zhiyi", "" ], [ "Han", "Shi", "" ], [ "Zhang", "Dongmei", "" ] ]
Tables are widely used with various structures to organize and present data. Recent attempts on table understanding mainly focus on relational tables, yet overlook to other common table structures. In this paper, we propose TUTA, a unified pre-training architecture for understanding generally structured tables. Noticin...
1910.01191
Yu Liang
Dakila Ledesma, Yu Liang, and Dalei Wu
Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders
arXiv admin note: text overlap with arXiv:1612.06336 by other authors
null
null
null
cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper proposed a hierarchical visible autoencoder in the adaptive phantom limbs generation according to the kinetic behavior of functional body-parts, which are measured by heterogeneous kinetic sensors. The proposed visible hierarchical autoencoder consists of interpretable and multi-correlated autoencoder pipe...
[ { "created": "Wed, 2 Oct 2019 19:54:19 GMT", "version": "v1" } ]
2019-10-07
[ [ "Ledesma", "Dakila", "" ], [ "Liang", "Yu", "" ], [ "Wu", "Dalei", "" ] ]
This paper proposed a hierarchical visible autoencoder in the adaptive phantom limbs generation according to the kinetic behavior of functional body-parts, which are measured by heterogeneous kinetic sensors. The proposed visible hierarchical autoencoder consists of interpretable and multi-correlated autoencoder pipeli...
2101.02074
Tobias Kronauer
Tobias Kronauer, Joshwa Pohlmann, Maximilian Matthe, Till Smejkal, Gerhard Fettweis
Latency Analysis of ROS2 Multi-Node Systems
null
null
null
null
cs.RO cs.DC cs.MA cs.PF cs.SE
http://creativecommons.org/licenses/by-sa/4.0/
The Robot Operating System 2 (ROS2) targets distributed real-time systems and is widely used in the robotics community. Especially in these systems, latency in data processing and communication can lead to instabilities. Though being highly configurable with respect to latency, ROS2 is often used with its default set...
[ { "created": "Wed, 6 Jan 2021 14:50:09 GMT", "version": "v1" }, { "created": "Tue, 12 Jan 2021 09:15:21 GMT", "version": "v2" }, { "created": "Fri, 11 Jun 2021 06:10:04 GMT", "version": "v3" } ]
2021-06-14
[ [ "Kronauer", "Tobias", "" ], [ "Pohlmann", "Joshwa", "" ], [ "Matthe", "Maximilian", "" ], [ "Smejkal", "Till", "" ], [ "Fettweis", "Gerhard", "" ] ]
The Robot Operating System 2 (ROS2) targets distributed real-time systems and is widely used in the robotics community. Especially in these systems, latency in data processing and communication can lead to instabilities. Though being highly configurable with respect to latency, ROS2 is often used with its default setti...
2405.08015
Ashutosh Kumar
Ashutosh Kumar and Sonali Agarwal, D Jude Hemanth
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Human being and different species of animals having the skills to gather, transferring knowledge, processing, fine-tune and generating information throughout their lifetime. The ability of learning throughout their lifespan is referred as continuous learning which is using neurocognition mechanism. Consequently, in r...
[ { "created": "Sat, 11 May 2024 05:10:07 GMT", "version": "v1" } ]
2024-05-15
[ [ "Kumar", "Ashutosh", "" ], [ "Agarwal", "Sonali", "" ], [ "Hemanth", "D Jude", "" ] ]
Human being and different species of animals having the skills to gather, transferring knowledge, processing, fine-tune and generating information throughout their lifetime. The ability of learning throughout their lifespan is referred as continuous learning which is using neurocognition mechanism. Consequently, in rea...
2204.11257
Ning Ding
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation
null
CVPR2022
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain Adaptation aims to transfer the knowledge learned from a labeled source domain to an unlabeled target domain whose data distributions are different. However, the training data in source domain required by most of the existing methods is usually unavailable in real-world applications due to privacy preserving p...
[ { "created": "Sun, 24 Apr 2022 12:22:19 GMT", "version": "v1" } ]
2023-06-02
[ [ "Ding", "Ning", "" ], [ "Xu", "Yixing", "" ], [ "Tang", "Yehui", "" ], [ "Xu", "Chao", "" ], [ "Wang", "Yunhe", "" ], [ "Tao", "Dacheng", "" ] ]
Domain Adaptation aims to transfer the knowledge learned from a labeled source domain to an unlabeled target domain whose data distributions are different. However, the training data in source domain required by most of the existing methods is usually unavailable in real-world applications due to privacy preserving pol...
2109.02409
Sai Anurudh Reddy Peduri
Anurudh Peduri and Siddharth Bhat
QSSA: An SSA-based IR for Quantum Computing
20 pages, 16 figures
null
10.1145/3497776.3517772
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Quantum computing hardware has progressed rapidly. Simultaneously, there has been a proliferation of programming languages and program optimization tools for quantum computing. Existing quantum compilers use intermediate representations (IRs) where quantum programs are described as circuits. Such IRs fail to leverage...
[ { "created": "Mon, 6 Sep 2021 12:45:02 GMT", "version": "v1" } ]
2022-03-28
[ [ "Peduri", "Anurudh", "" ], [ "Bhat", "Siddharth", "" ] ]
Quantum computing hardware has progressed rapidly. Simultaneously, there has been a proliferation of programming languages and program optimization tools for quantum computing. Existing quantum compilers use intermediate representations (IRs) where quantum programs are described as circuits. Such IRs fail to leverage e...
2303.09252
Jiayi Lin
Jiayi Lin, Shaogang Gong
GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A vision-language foundation model pretrained on very large-scale image-text paired data has the potential to provide generalizable knowledge representation for downstream visual recognition and detection tasks, especially on supplementing the undersampled categories in downstream model training. Recent studies utili...
[ { "created": "Thu, 16 Mar 2023 12:06:02 GMT", "version": "v1" } ]
2023-03-17
[ [ "Lin", "Jiayi", "" ], [ "Gong", "Shaogang", "" ] ]
A vision-language foundation model pretrained on very large-scale image-text paired data has the potential to provide generalizable knowledge representation for downstream visual recognition and detection tasks, especially on supplementing the undersampled categories in downstream model training. Recent studies utilizi...
1908.06022
Bo Zhang
Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
ICCV Workshop 2021
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To discover powerful yet compact models is an important goal of neural architecture search. Previous two-stage one-shot approaches are limited by search space with a fixed depth. It seems handy to include an additional skip connection in the search space to make depths variable. However, it creates a large range of p...
[ { "created": "Fri, 16 Aug 2019 15:31:08 GMT", "version": "v1" }, { "created": "Mon, 19 Aug 2019 10:42:54 GMT", "version": "v2" }, { "created": "Fri, 13 Sep 2019 14:57:13 GMT", "version": "v3" }, { "created": "Thu, 28 Nov 2019 09:04:13 GMT", "version": "v4" }, { "c...
2021-08-17
[ [ "Chu", "Xiangxiang", "" ], [ "Zhang", "Bo", "" ], [ "Li", "Qingyuan", "" ], [ "Xu", "Ruijun", "" ], [ "Li", "Xudong", "" ] ]
To discover powerful yet compact models is an important goal of neural architecture search. Previous two-stage one-shot approaches are limited by search space with a fixed depth. It seems handy to include an additional skip connection in the search space to make depths variable. However, it creates a large range of per...
1803.00712
Phuong Le-Hong
Phuong Le-Hong, Duc-Thien Bui
A Factoid Question Answering System for Vietnamese
In the proceedings of the HQA'18 workshop, The Web Conference Companion, Lyon, France
null
10.1145/3184558.3191535
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language. This system combines both statistical models and ontology-based methods in a chain of processing modules to provide high-quality mappings from natural language text to entities. We present the ch...
[ { "created": "Fri, 2 Mar 2018 04:10:24 GMT", "version": "v1" }, { "created": "Tue, 13 Mar 2018 03:32:39 GMT", "version": "v2" }, { "created": "Wed, 28 Mar 2018 09:28:56 GMT", "version": "v3" } ]
2018-03-29
[ [ "Le-Hong", "Phuong", "" ], [ "Bui", "Duc-Thien", "" ] ]
In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language. This system combines both statistical models and ontology-based methods in a chain of processing modules to provide high-quality mappings from natural language text to entities. We present the chal...
2204.07431
Ana Kostovska
Ana Kostovska and Diederick Vermetten and Sa\v{s}o D\v{z}eroski and Carola Doerr and Peter Koro\v{s}ec and Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
null
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Selecting the most suitable algorithm and determining its hyperparameters for a given optimization problem is a challenging task. Accurately predicting how well a certain algorithm could solve the problem is hence desirable. Recent studies in single-objective numerical optimization show that supervised machine learni...
[ { "created": "Fri, 15 Apr 2022 11:55:28 GMT", "version": "v1" } ]
2022-04-18
[ [ "Kostovska", "Ana", "" ], [ "Vermetten", "Diederick", "" ], [ "Džeroski", "Sašo", "" ], [ "Doerr", "Carola", "" ], [ "Korošec", "Peter", "" ], [ "Eftimov", "Tome", "" ] ]
Selecting the most suitable algorithm and determining its hyperparameters for a given optimization problem is a challenging task. Accurately predicting how well a certain algorithm could solve the problem is hence desirable. Recent studies in single-objective numerical optimization show that supervised machine learning...
1208.2409
Nadeem Javaid
M. M. Yaqoob, I. Israr, N. Javaid, M. A. Khan, U. Qasim, Z. A. Khan
Transmission Delay of Multi-hop Heterogeneous Networks for Medical Applications
BioSPAN with 7th IEEE International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA 2012), Victoria, Canada, 2012
null
10.1109/BWCCA.2012.76
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, with increase in ageing population, Health care market keeps growing. There is a need for monitoring of Health issues. Body Area Network consists of wireless sensors attached on or inside human body for monitoring vital Health related problems e.g, Electro Cardiogram (ECG), ElectroEncephalogram (EEG), Elect...
[ { "created": "Sun, 12 Aug 2012 07:25:43 GMT", "version": "v1" } ]
2016-11-15
[ [ "Yaqoob", "M. M.", "" ], [ "Israr", "I.", "" ], [ "Javaid", "N.", "" ], [ "Khan", "M. A.", "" ], [ "Qasim", "U.", "" ], [ "Khan", "Z. A.", "" ] ]
Nowadays, with increase in ageing population, Health care market keeps growing. There is a need for monitoring of Health issues. Body Area Network consists of wireless sensors attached on or inside human body for monitoring vital Health related problems e.g, Electro Cardiogram (ECG), ElectroEncephalogram (EEG), Electro...
1906.01282
Fengshun Xiao
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen
Lattice-Based Transformer Encoder for Neural Machine Translation
Accepted by ACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation (NMT) takes deterministic sequences for source representations. However, either word-level or subword-level segmentations have multiple choices to split a source sequence with different word segmentors or different subword vocabulary sizes. We hypothesize that the diversity in segmentations...
[ { "created": "Tue, 4 Jun 2019 08:58:14 GMT", "version": "v1" } ]
2019-06-05
[ [ "Xiao", "Fengshun", "" ], [ "Li", "Jiangtong", "" ], [ "Zhao", "Hai", "" ], [ "Wang", "Rui", "" ], [ "Chen", "Kehai", "" ] ]
Neural machine translation (NMT) takes deterministic sequences for source representations. However, either word-level or subword-level segmentations have multiple choices to split a source sequence with different word segmentors or different subword vocabulary sizes. We hypothesize that the diversity in segmentations m...
1602.03924
Peter Krafft
Peter M. Krafft and Chris L. Baker and Alex Pentland and Joshua B. Tenenbaum
Modeling Human Ad Hoc Coordination
AAAI 2016
null
null
null
cs.AI cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whether in groups of humans or groups of computer agents, collaboration is most effective between individuals who have the ability to coordinate on a joint strategy for collective action. However, in general a rational actor will only intend to coordinate if that actor believes the other group members have the same i...
[ { "created": "Thu, 11 Feb 2016 22:48:59 GMT", "version": "v1" } ]
2016-02-15
[ [ "Krafft", "Peter M.", "" ], [ "Baker", "Chris L.", "" ], [ "Pentland", "Alex", "" ], [ "Tenenbaum", "Joshua B.", "" ] ]
Whether in groups of humans or groups of computer agents, collaboration is most effective between individuals who have the ability to coordinate on a joint strategy for collective action. However, in general a rational actor will only intend to coordinate if that actor believes the other group members have the same int...
2312.15949
Jae Yong Lee
Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
26 pages, 13 figures. Published as a conference paper at Eleventh International Conference on Learning Representations (ICLR 2023)
null
null
null
cs.LG cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
Fast and accurate predictions for complex physical dynamics are a significant challenge across various applications. Real-time prediction on resource-constrained hardware is even more crucial in real-world problems. The deep operator network (DeepONet) has recently been proposed as a framework for learning nonlinear ...
[ { "created": "Tue, 26 Dec 2023 08:28:46 GMT", "version": "v1" } ]
2023-12-27
[ [ "Lee", "Jae Yong", "" ], [ "Cho", "Sung Woong", "" ], [ "Hwang", "Hyung Ju", "" ] ]
Fast and accurate predictions for complex physical dynamics are a significant challenge across various applications. Real-time prediction on resource-constrained hardware is even more crucial in real-world problems. The deep operator network (DeepONet) has recently been proposed as a framework for learning nonlinear ma...
2405.04133
Peisong He
Peisong He, Leyao Zhu, Jiaxing Li, Shiqi Wang and Haoliang Li
Exposing AI-generated Videos: A Benchmark Dataset and a Local-and-Global Temporal Defect Based Detection Method
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The generative model has made significant advancements in the creation of realistic videos, which causes security issues. However, this emerging risk has not been adequately addressed due to the absence of a benchmark dataset for AI-generated videos. In this paper, we first construct a video dataset using advanced di...
[ { "created": "Tue, 7 May 2024 09:00:09 GMT", "version": "v1" } ]
2024-05-08
[ [ "He", "Peisong", "" ], [ "Zhu", "Leyao", "" ], [ "Li", "Jiaxing", "" ], [ "Wang", "Shiqi", "" ], [ "Li", "Haoliang", "" ] ]
The generative model has made significant advancements in the creation of realistic videos, which causes security issues. However, this emerging risk has not been adequately addressed due to the absence of a benchmark dataset for AI-generated videos. In this paper, we first construct a video dataset using advanced diff...
2007.01954
Esam Alkaldy Dr.
Ali H. Majeed, Esam Alkaldy, Mohd S. Zainal, and Danial MD. Nor
Novel Memory Structures in QCA Nano Technology
null
The 3rd Scientific Conference of Electrical and Electronic Engineering Researches (SCEEER) | (15-16) JUNE 2020 | BASRAH / IRAQ
10.37917/ijeee.sceeer.3rd.17
null
cs.ET cond-mat.other
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quantum-dot Cellular Automata (QCA) is a new emerging technology for designing electronic circuits in nanoscale. QCA technology comes to overcome the CMOS limitation and to be a good alternative as it can work in ultra-high-speed. QCA brought researchers attention due to many features such as low power consumption, s...
[ { "created": "Fri, 3 Jul 2020 22:21:59 GMT", "version": "v1" } ]
2020-07-07
[ [ "Majeed", "Ali H.", "" ], [ "Alkaldy", "Esam", "" ], [ "Zainal", "Mohd S.", "" ], [ "Nor", "Danial MD.", "" ] ]
Quantum-dot Cellular Automata (QCA) is a new emerging technology for designing electronic circuits in nanoscale. QCA technology comes to overcome the CMOS limitation and to be a good alternative as it can work in ultra-high-speed. QCA brought researchers attention due to many features such as low power consumption, sma...
2310.03137
Edward Guo
Eddie Guo, Christopher Perlette, Mojtaba Sharifi, Lukas Grasse, Matthew Tata, Vivian K. Mushahwar, Mahdi Tavakoli
Speech-Based Human-Exoskeleton Interaction for Lower Limb Motion Planning
13 pages, 8 figures, 2 tables
null
null
null
cs.RO cs.HC
http://creativecommons.org/licenses/by/4.0/
This study presents a speech-based motion planning strategy (SBMP) developed for lower limb exoskeletons to facilitate safe and compliant human-robot interaction. A speech processing system, finite state machine, and central pattern generator are the building blocks of the proposed strategy for online planning of the...
[ { "created": "Wed, 4 Oct 2023 19:57:52 GMT", "version": "v1" } ]
2023-10-06
[ [ "Guo", "Eddie", "" ], [ "Perlette", "Christopher", "" ], [ "Sharifi", "Mojtaba", "" ], [ "Grasse", "Lukas", "" ], [ "Tata", "Matthew", "" ], [ "Mushahwar", "Vivian K.", "" ], [ "Tavakoli", "Mahdi", "" ] ]
This study presents a speech-based motion planning strategy (SBMP) developed for lower limb exoskeletons to facilitate safe and compliant human-robot interaction. A speech processing system, finite state machine, and central pattern generator are the building blocks of the proposed strategy for online planning of the e...
1311.2355
Mika G\"o\"os
Mika G\"o\"os and Toniann Pitassi
Communication Lower Bounds via Critical Block Sensitivity
33 pages, 6 figures
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We use critical block sensitivity, a new complexity measure introduced by Huynh and Nordstr\"om (STOC 2012), to study the communication complexity of search problems. To begin, we give a simple new proof of the following central result of Huynh and Nordstr\"om: if $S$ is a search problem with critical block sensitivi...
[ { "created": "Mon, 11 Nov 2013 05:19:30 GMT", "version": "v1" }, { "created": "Mon, 11 Jul 2016 10:39:16 GMT", "version": "v2" } ]
2016-07-12
[ [ "Göös", "Mika", "" ], [ "Pitassi", "Toniann", "" ] ]
We use critical block sensitivity, a new complexity measure introduced by Huynh and Nordstr\"om (STOC 2012), to study the communication complexity of search problems. To begin, we give a simple new proof of the following central result of Huynh and Nordstr\"om: if $S$ is a search problem with critical block sensitivity...
2203.13921
Bingqian Lu
Bingqian Lu, Zheyu Yan, Yiyu Shi, Shaolei Ren
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Accepted by and presented at the TinyML Research Symposium 2022
null
null
null
cs.AR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In view of the performance limitations of fully-decoupled designs for neural architectures and accelerators, hardware-software co-design has been emerging to fully reap the benefits of flexible design spaces and optimize neural network performance. Nonetheless, such co-design also enlarges the total search space to p...
[ { "created": "Fri, 25 Mar 2022 21:49:42 GMT", "version": "v1" } ]
2022-03-29
[ [ "Lu", "Bingqian", "" ], [ "Yan", "Zheyu", "" ], [ "Shi", "Yiyu", "" ], [ "Ren", "Shaolei", "" ] ]
In view of the performance limitations of fully-decoupled designs for neural architectures and accelerators, hardware-software co-design has been emerging to fully reap the benefits of flexible design spaces and optimize neural network performance. Nonetheless, such co-design also enlarges the total search space to pra...
1603.01597
Jeroen De Gussem
Mike Kestemont, Jeroen De Gussem
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning
null
Journal of Data Mining & Digital Humanities, Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages, Towards a Digital Ecosystem: NLP. Corpus infrastructure. Methods for Retrieving Texts and Computing Text Similarities (August 6, 2017) jdmdh:1398
10.46298/jdmdh.1398
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider two sequence tagging tasks for medieval Latin: part-of-speech tagging and lemmatization. These are both basic, yet foundational preprocessing steps in applications such as text re-use detection. Nevertheless, they are generally complicated by the considerable orthographic variation which is ...
[ { "created": "Fri, 4 Mar 2016 20:13:56 GMT", "version": "v1" }, { "created": "Thu, 3 Aug 2017 08:18:10 GMT", "version": "v2" } ]
2023-06-22
[ [ "Kestemont", "Mike", "" ], [ "De Gussem", "Jeroen", "" ] ]
In this paper we consider two sequence tagging tasks for medieval Latin: part-of-speech tagging and lemmatization. These are both basic, yet foundational preprocessing steps in applications such as text re-use detection. Nevertheless, they are generally complicated by the considerable orthographic variation which is ty...
1903.03760
Hsu-Chun Hsiao
Kai-Hsiang Hsu, Yu-Hsi Chiang, Hsu-Chun Hsiao
SAFECHAIN: Securing Trigger-Action Programming from Attack Chains (Extended Technical Report)
This is the extended technical report of the 16-page version on IEEE TIFS. Manuscript received April 27, 2018; accepted February 9, 2019
null
10.1109/TIFS.2019.2899758
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The proliferation of Internet of Things (IoT) is reshaping our lifestyle. With IoT sensors and devices communicating with each other via the Internet, people can customize automation rules to meet their needs. Unless carefully defined, however, such rules can easily become points of security failure as the number of ...
[ { "created": "Sat, 9 Mar 2019 08:18:34 GMT", "version": "v1" } ]
2019-03-12
[ [ "Hsu", "Kai-Hsiang", "" ], [ "Chiang", "Yu-Hsi", "" ], [ "Hsiao", "Hsu-Chun", "" ] ]
The proliferation of Internet of Things (IoT) is reshaping our lifestyle. With IoT sensors and devices communicating with each other via the Internet, people can customize automation rules to meet their needs. Unless carefully defined, however, such rules can easily become points of security failure as the number of de...
2302.13485
Jindong Wang
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Accepted by IEEE Data Engineering Bulletin; code is at: https://github.com/microsoft/PersonalizedFL
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Federated learning (FL) has emerged as a new paradigm for privacy-preserving computation in recent years. Unfortunately, FL faces two critical challenges that hinder its actual performance: data distribution heterogeneity and high resource costs brought by large foundation models. Specifically, the non-IID data in di...
[ { "created": "Mon, 27 Feb 2023 02:49:06 GMT", "version": "v1" }, { "created": "Sun, 9 Jul 2023 12:36:50 GMT", "version": "v2" } ]
2023-07-11
[ [ "Lu", "Wang", "" ], [ "Hu", "Xixu", "" ], [ "Wang", "Jindong", "" ], [ "Xie", "Xing", "" ] ]
Federated learning (FL) has emerged as a new paradigm for privacy-preserving computation in recent years. Unfortunately, FL faces two critical challenges that hinder its actual performance: data distribution heterogeneity and high resource costs brought by large foundation models. Specifically, the non-IID data in diff...
2107.04764
Mohamed Nassar
Sara Hajj Ibrahim and Mohamed Nassar
Hack The Box: Fooling Deep Learning Abstraction-Based Monitors
null
null
null
null
cs.LG cs.AI cs.CR
http://creativecommons.org/licenses/by/4.0/
Deep learning is a type of machine learning that adapts a deep hierarchy of concepts. Deep learning classifiers link the most basic version of concepts at the input layer to the most abstract version of concepts at the output layer, also known as a class or label. However, once trained over a finite set of classes, s...
[ { "created": "Sat, 10 Jul 2021 05:06:04 GMT", "version": "v1" }, { "created": "Tue, 13 Jul 2021 05:19:11 GMT", "version": "v2" }, { "created": "Sun, 18 Jul 2021 20:50:55 GMT", "version": "v3" } ]
2021-07-20
[ [ "Ibrahim", "Sara Hajj", "" ], [ "Nassar", "Mohamed", "" ] ]
Deep learning is a type of machine learning that adapts a deep hierarchy of concepts. Deep learning classifiers link the most basic version of concepts at the input layer to the most abstract version of concepts at the output layer, also known as a class or label. However, once trained over a finite set of classes, som...
2312.13701
Canze Zhu
Canze Zhu, Qunying Liao and Haibo Liu
Infinite families $2$-designs from binary projective three-weight codes
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-sa/4.0/
Combinatorial designs are closely related to linear codes. In recent year, there are a lot of $t$-designs constructed from certain linear codes. In this paper, we aim to construct $2$-designs from binary three-weight codes. For any binary three-weight code $\mathcal{C}$ with length $n$, let $A_{n}(\mathcal{C})$ be th...
[ { "created": "Thu, 21 Dec 2023 10:09:02 GMT", "version": "v1" } ]
2023-12-22
[ [ "Zhu", "Canze", "" ], [ "Liao", "Qunying", "" ], [ "Liu", "Haibo", "" ] ]
Combinatorial designs are closely related to linear codes. In recent year, there are a lot of $t$-designs constructed from certain linear codes. In this paper, we aim to construct $2$-designs from binary three-weight codes. For any binary three-weight code $\mathcal{C}$ with length $n$, let $A_{n}(\mathcal{C})$ be the ...
1903.09722
Michael Auli
Sergey Edunov, Alexei Baevski, Michael Auli
Pre-trained Language Model Representations for Language Generation
NAACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-trained language model representations have been successful in a wide range of language understanding tasks. In this paper, we examine different strategies to integrate pre-trained representations into sequence to sequence models and apply it to neural machine translation and abstractive summarization. We find th...
[ { "created": "Fri, 22 Mar 2019 22:14:51 GMT", "version": "v1" }, { "created": "Mon, 1 Apr 2019 17:49:39 GMT", "version": "v2" } ]
2019-04-02
[ [ "Edunov", "Sergey", "" ], [ "Baevski", "Alexei", "" ], [ "Auli", "Michael", "" ] ]
Pre-trained language model representations have been successful in a wide range of language understanding tasks. In this paper, we examine different strategies to integrate pre-trained representations into sequence to sequence models and apply it to neural machine translation and abstractive summarization. We find that...
2012.04353
Shashi Kant Gupta
Shashi Kant Gupta
Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
10 pages (5 main, 1 ref, 4 supplementary); Accepted at 2nd Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM), NeurIPS 2020
null
null
null
cs.LG cs.CV cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning has become interestingly popular in computer vision, mostly attaining near or above human-level performance in various vision tasks. But recent work has also demonstrated that these deep neural networks are very vulnerable to adversarial examples (adversarial examples - inputs to a model which are natur...
[ { "created": "Tue, 8 Dec 2020 11:03:17 GMT", "version": "v1" } ]
2020-12-09
[ [ "Gupta", "Shashi Kant", "" ] ]
Deep Learning has become interestingly popular in computer vision, mostly attaining near or above human-level performance in various vision tasks. But recent work has also demonstrated that these deep neural networks are very vulnerable to adversarial examples (adversarial examples - inputs to a model which are natural...