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1407.1923
Eli Fox-Epstein
Eli Fox-Epstein, Ryuhei Uehara
The Convex Configurations of "Sei Shonagon Chie no Ita" and Other Dissection Puzzles
null
null
null
null
cs.CG math.HO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The tangram and Sei Shonagon Chie no Ita are popular dissection puzzles consisting of seven pieces. Each puzzle can be formed by identifying edges from sixteen identical right isosceles triangles. It is known that the tangram can form 13 convex polygons. We show that Sei Shonagon Chie no Ita can form 16 convex polygo...
[ { "created": "Tue, 8 Jul 2014 01:42:23 GMT", "version": "v1" } ]
2014-07-09
[ [ "Fox-Epstein", "Eli", "" ], [ "Uehara", "Ryuhei", "" ] ]
The tangram and Sei Shonagon Chie no Ita are popular dissection puzzles consisting of seven pieces. Each puzzle can be formed by identifying edges from sixteen identical right isosceles triangles. It is known that the tangram can form 13 convex polygons. We show that Sei Shonagon Chie no Ita can form 16 convex polygons...
2006.06341
Tobias Kuhn
Timo Lek, Anna de Groot, Tobias Kuhn, Roser Morante
Provenance for Linguistic Corpora Through Nanopublications
null
In Proceedings of the 14th Linguistic Annotation Workshop (LAW), co-located with COLING 2020
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Research in Computational Linguistics is dependent on text corpora for training and testing new tools and methodologies. While there exists a plethora of annotated linguistic information, these corpora are often not interoperable without significant manual work. Moreover, these annotations might have evolved into dif...
[ { "created": "Thu, 11 Jun 2020 11:30:30 GMT", "version": "v1" }, { "created": "Mon, 2 Nov 2020 07:29:09 GMT", "version": "v2" } ]
2020-11-03
[ [ "Lek", "Timo", "" ], [ "de Groot", "Anna", "" ], [ "Kuhn", "Tobias", "" ], [ "Morante", "Roser", "" ] ]
Research in Computational Linguistics is dependent on text corpora for training and testing new tools and methodologies. While there exists a plethora of annotated linguistic information, these corpora are often not interoperable without significant manual work. Moreover, these annotations might have evolved into diffe...
0704.0217
Wiroonsak Santipach
Wiroonsak Santipach and Michael L. Honig
Capacity of a Multiple-Antenna Fading Channel with a Quantized Precoding Matrix
null
IEEE Trans. Inf. Theory, vol. 55, no. 3, pp. 1218--1234, March 2009
10.1109/TIT.2008.2011437
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a multiple-input multiple-output (MIMO) channel, feedback from the receiver can be used to specify a transmit precoding matrix, which selectively activates the strongest channel modes. Here we analyze the performance of Random Vector Quantization (RVQ), in which the precoding matrix is selected from a random co...
[ { "created": "Mon, 2 Apr 2007 15:35:24 GMT", "version": "v1" }, { "created": "Tue, 17 Feb 2009 03:49:20 GMT", "version": "v2" } ]
2010-08-27
[ [ "Santipach", "Wiroonsak", "" ], [ "Honig", "Michael L.", "" ] ]
Given a multiple-input multiple-output (MIMO) channel, feedback from the receiver can be used to specify a transmit precoding matrix, which selectively activates the strongest channel modes. Here we analyze the performance of Random Vector Quantization (RVQ), in which the precoding matrix is selected from a random code...
1302.1064
Dominik Kempa
Juha K\"arkk\"ainen and Dominik Kempa and Simon J. Puglisi
Lightweight Lempel-Ziv Parsing
12 pages
null
10.1007/978-3-642-38527-8_14
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a new approach to LZ77 factorization that uses O(n/d) words of working space and O(dn) time for any d >= 1 (for polylogarithmic alphabet sizes). We also describe carefully engineered implementations of alternative approaches to lightweight LZ77 factorization. Extensive experiments show that the new algor...
[ { "created": "Tue, 5 Feb 2013 15:34:53 GMT", "version": "v1" }, { "created": "Wed, 6 Feb 2013 10:15:05 GMT", "version": "v2" } ]
2020-12-11
[ [ "Kärkkäinen", "Juha", "" ], [ "Kempa", "Dominik", "" ], [ "Puglisi", "Simon J.", "" ] ]
We introduce a new approach to LZ77 factorization that uses O(n/d) words of working space and O(dn) time for any d >= 1 (for polylogarithmic alphabet sizes). We also describe carefully engineered implementations of alternative approaches to lightweight LZ77 factorization. Extensive experiments show that the new algorit...
1805.10047
Mamoru Komachi
Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi
Japanese Predicate Conjugation for Neural Machine Translation
6 pages; NAACL 2018 Student Research Workshop
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Neural machine translation (NMT) has a drawback in that can generate only high-frequency words owing to the computational costs of the softmax function in the output layer. In Japanese-English NMT, Japanese predicate conjugation causes an increase in vocabulary size. For example, one verb can have as many as 19 sur...
[ { "created": "Fri, 25 May 2018 08:56:43 GMT", "version": "v1" } ]
2018-05-28
[ [ "Kurosawa", "Michiki", "" ], [ "Matsumura", "Yukio", "" ], [ "Yamagishi", "Hayahide", "" ], [ "Komachi", "Mamoru", "" ] ]
Neural machine translation (NMT) has a drawback in that can generate only high-frequency words owing to the computational costs of the softmax function in the output layer. In Japanese-English NMT, Japanese predicate conjugation causes an increase in vocabulary size. For example, one verb can have as many as 19 surface...
2203.01426
Peng Zhou
Peng Zhou, Jason K. Eshraghian, Dong-Uk Choi, Sung-Mo Kang
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks
null
null
null
null
cs.NE cs.AI cs.ET
http://creativecommons.org/licenses/by/4.0/
We present a fully memristive spiking neural network (MSNN) consisting of novel memristive neurons trained using the backpropagation through time (BPTT) learning rule. Gradient descent is applied directly to the memristive integrated-and-fire (MIF) neuron designed using analog SPICE circuit models, which generates di...
[ { "created": "Wed, 2 Mar 2022 21:34:43 GMT", "version": "v1" }, { "created": "Tue, 8 Mar 2022 05:50:44 GMT", "version": "v2" }, { "created": "Thu, 10 Mar 2022 01:09:51 GMT", "version": "v3" } ]
2022-03-11
[ [ "Zhou", "Peng", "" ], [ "Eshraghian", "Jason K.", "" ], [ "Choi", "Dong-Uk", "" ], [ "Kang", "Sung-Mo", "" ] ]
We present a fully memristive spiking neural network (MSNN) consisting of novel memristive neurons trained using the backpropagation through time (BPTT) learning rule. Gradient descent is applied directly to the memristive integrated-and-fire (MIF) neuron designed using analog SPICE circuit models, which generates dist...
2006.08754
Kwang-Sung Jun
Kwang-Sung Jun, Chicheng Zhang
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
accepted to NeurIPS'20; added the lower bound result
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study stochastic structured bandits for minimizing regret. The fact that the popular optimistic algorithms do not achieve the asymptotic instance-dependent regret optimality (asymptotic optimality for short) has recently alluded researchers. On the other hand, it is known that one can achieve bounded regret (i.e.,...
[ { "created": "Mon, 15 Jun 2020 20:46:52 GMT", "version": "v1" }, { "created": "Fri, 23 Oct 2020 01:51:16 GMT", "version": "v2" } ]
2020-10-26
[ [ "Jun", "Kwang-Sung", "" ], [ "Zhang", "Chicheng", "" ] ]
We study stochastic structured bandits for minimizing regret. The fact that the popular optimistic algorithms do not achieve the asymptotic instance-dependent regret optimality (asymptotic optimality for short) has recently alluded researchers. On the other hand, it is known that one can achieve bounded regret (i.e., d...
1510.03247
Jason Dou
Lucy Chenyun Wu, Jason Xiaotian Dou, Danny Sleator, Alan Frieze, David Miller
Impartial Redistricting: A Markov Chain Approach
about authorship naming problem, will fix soon
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The gerrymandering problem is a worldwide problem which sets great threat to democracy and justice in district based elections. Thanks to partisan redistricting commissions, district boundaries are often manipulated to benefit incumbents. Since an independent commission is hard to come by, the possibility of impartia...
[ { "created": "Mon, 12 Oct 2015 12:11:51 GMT", "version": "v1" }, { "created": "Tue, 13 Oct 2015 12:26:31 GMT", "version": "v2" } ]
2015-10-14
[ [ "Wu", "Lucy Chenyun", "" ], [ "Dou", "Jason Xiaotian", "" ], [ "Sleator", "Danny", "" ], [ "Frieze", "Alan", "" ], [ "Miller", "David", "" ] ]
The gerrymandering problem is a worldwide problem which sets great threat to democracy and justice in district based elections. Thanks to partisan redistricting commissions, district boundaries are often manipulated to benefit incumbents. Since an independent commission is hard to come by, the possibility of impartiall...
1911.08619
Shuwen Deng
Shuwen Deng, Wenjie Xiong, Jakub Szefer
A Benchmark Suite for Evaluating Caches' Vulnerability to Timing Attacks
13 pages, 5 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Timing-based side or covert channels in processor caches continue to present a threat to computer systems, and they are the key to many of the recent Spectre and Meltdown attacks. Based on improvements to an existing three-step model for cache timing-based attacks, this work presents 88 Strong types of theoretical ti...
[ { "created": "Tue, 19 Nov 2019 22:38:16 GMT", "version": "v1" } ]
2019-11-21
[ [ "Deng", "Shuwen", "" ], [ "Xiong", "Wenjie", "" ], [ "Szefer", "Jakub", "" ] ]
Timing-based side or covert channels in processor caches continue to present a threat to computer systems, and they are the key to many of the recent Spectre and Meltdown attacks. Based on improvements to an existing three-step model for cache timing-based attacks, this work presents 88 Strong types of theoretical timi...
2302.05573
Bin Liu
Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion
9 pages, 8 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel 3d colored shape reconstruction method from a single RGB image through diffusion model. Diffusion models have shown great development potentials for high-quality 3D shape generation. However, most existing work based on diffusion models only focus on geometric shape generation, they cannot either a...
[ { "created": "Sat, 11 Feb 2023 02:15:00 GMT", "version": "v1" } ]
2023-02-14
[ [ "Li", "Bo", "" ], [ "Wei", "Xiaolin", "" ], [ "Chen", "Fengwei", "" ], [ "Liu", "Bin", "" ] ]
We propose a novel 3d colored shape reconstruction method from a single RGB image through diffusion model. Diffusion models have shown great development potentials for high-quality 3D shape generation. However, most existing work based on diffusion models only focus on geometric shape generation, they cannot either acc...
2004.08715
Ikuesan R. Adeyemi Dr.
Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan, Abdullah Al-Ghushami, and H. S. Venter
Detecting Centralized Architecture-Based Botnets using Travelling Salesperson Non-Deterministic Polynomial-Hard problem, TSP-NP Technique
2019 IEEE Conference on Application, Information and Network Security (AINS)
2020 INSPEC Accession Number: 19300268 Electronic ISBN: 978-1-7281-3306-5 Print on Demand(PoD) ISBN: 978-1-7281-3307-2
10.1109/AINS47559.2019.8968710
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The threats posed by botnets in the cyberspace continue to grow each day and it has become very hard to detect or infiltrate the cynicism of bots. This, is owing to the fact, that, the botnet developers each day, keep changing the propagation and attack techniques. Currently, most of these attacks have been centered ...
[ { "created": "Sat, 18 Apr 2020 22:13:14 GMT", "version": "v1" } ]
2020-04-21
[ [ "Kebande", "Victor R.", "" ], [ "Karie", "Nickson M.", "" ], [ "Ikuesan", "Richard Adeyemi", "" ], [ "Al-Ghushami", "Abdullah", "" ], [ "Venter", "H. S.", "" ] ]
The threats posed by botnets in the cyberspace continue to grow each day and it has become very hard to detect or infiltrate the cynicism of bots. This, is owing to the fact, that, the botnet developers each day, keep changing the propagation and attack techniques. Currently, most of these attacks have been centered on...
1606.03752
Kiran Venugopal
Kiran Venugopal and Robert W. Heath Jr
Location Based Performance Model for Indoor mmWave Wearable Communication
presented at ICC 2016
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simultaneous use of high-end wearable wireless devices like smart glasses is challenging in a dense indoor environment due to the high nature of interference. In this scenario, the millimeter wave (mmWave) band offers promising potential for achieving gigabits per second throughput. Here we propose a novel system mod...
[ { "created": "Sun, 12 Jun 2016 18:38:26 GMT", "version": "v1" } ]
2016-06-14
[ [ "Venugopal", "Kiran", "" ], [ "Heath", "Robert W.", "Jr" ] ]
Simultaneous use of high-end wearable wireless devices like smart glasses is challenging in a dense indoor environment due to the high nature of interference. In this scenario, the millimeter wave (mmWave) band offers promising potential for achieving gigabits per second throughput. Here we propose a novel system model...
2110.10905
Xianyuan Zhan
Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
End-to-end learning robotic manipulation with high data efficiency is one of the key challenges in robotics. The latest methods that utilize human demonstration data and unsupervised representation learning has proven to be a promising direction to improve RL learning efficiency. The use of demonstration data also al...
[ { "created": "Thu, 21 Oct 2021 05:34:25 GMT", "version": "v1" } ]
2021-10-22
[ [ "Li", "Jin", "" ], [ "Zhan", "Xianyuan", "" ], [ "Xiao", "Zixu", "" ], [ "Zhou", "Guyue", "" ] ]
End-to-end learning robotic manipulation with high data efficiency is one of the key challenges in robotics. The latest methods that utilize human demonstration data and unsupervised representation learning has proven to be a promising direction to improve RL learning efficiency. The use of demonstration data also allo...
2403.00506
Deborah N. Jakobi
Deborah N. Jakobi and Thomas Kern and David R. Reich and Patrick Haller and Lena A. J\"ager
PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipul...
[ { "created": "Fri, 1 Mar 2024 13:07:39 GMT", "version": "v1" } ]
2024-03-04
[ [ "Jakobi", "Deborah N.", "" ], [ "Kern", "Thomas", "" ], [ "Reich", "David R.", "" ], [ "Haller", "Patrick", "" ], [ "Jäger", "Lena A.", "" ] ]
The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipulat...
1211.2189
Jannik Matuschke
Jannik Matuschke and Britta Peis
Lattices and maximum flow algorithms in planar graphs
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the left/right relation on the set of s-t-paths of a plane graph induces a so-called submodular lattice. If the embedding of the graph is s-t-planar, this lattice is even consecutive. This implies that Ford and Fulkerson's uppermost path algorithm for maximum flow in such graphs is indeed a special case ...
[ { "created": "Fri, 9 Nov 2012 17:02:11 GMT", "version": "v1" } ]
2012-11-12
[ [ "Matuschke", "Jannik", "" ], [ "Peis", "Britta", "" ] ]
We show that the left/right relation on the set of s-t-paths of a plane graph induces a so-called submodular lattice. If the embedding of the graph is s-t-planar, this lattice is even consecutive. This implies that Ford and Fulkerson's uppermost path algorithm for maximum flow in such graphs is indeed a special case of...
2306.05382
Mingyu Jin
Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin
Image Blending Algorithm with Automatic Mask Generation
14 pages, 8 figures
International Conference on Neural Information Processing 2023
10.1007/978-981-99-8132-8_18
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In recent years, image blending has gained popularity for its ability to create visually stunning content. However, the current image blending algorithms mainly have the following problems: manually creating image blending masks requires a lot of manpower and material resources; image blending algorithms cannot effec...
[ { "created": "Thu, 8 Jun 2023 17:31:24 GMT", "version": "v1" }, { "created": "Sun, 11 Jun 2023 14:38:54 GMT", "version": "v2" }, { "created": "Wed, 29 Nov 2023 06:49:12 GMT", "version": "v3" } ]
2023-11-30
[ [ "Xue", "Haochen", "" ], [ "Jin", "Mingyu", "" ], [ "Zhang", "Chong", "" ], [ "Huang", "Yuxuan", "" ], [ "Weng", "Qian", "" ], [ "Jin", "Xiaobo", "" ] ]
In recent years, image blending has gained popularity for its ability to create visually stunning content. However, the current image blending algorithms mainly have the following problems: manually creating image blending masks requires a lot of manpower and material resources; image blending algorithms cannot effecti...
1812.08032
Cagatay Turkay
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu
Progressive Data Science: Potential and Challenges
null
null
null
null
cs.HC cs.DB cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iterative trial-and-error processes that could be sped-up significantly by providing quick feedback on the impact of changes. The idea of prog...
[ { "created": "Wed, 19 Dec 2018 15:45:03 GMT", "version": "v1" }, { "created": "Thu, 12 Sep 2019 17:02:46 GMT", "version": "v2" } ]
2019-09-13
[ [ "Turkay", "Cagatay", "" ], [ "Pezzotti", "Nicola", "" ], [ "Binnig", "Carsten", "" ], [ "Strobelt", "Hendrik", "" ], [ "Hammer", "Barbara", "" ], [ "Keim", "Daniel A.", "" ], [ "Fekete", "Jean-Daniel", "" ...
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iterative trial-and-error processes that could be sped-up significantly by providing quick feedback on the impact of changes. The idea of progre...
1812.02872
Yapeng Tian
Yapeng Tian, Chenxiao Guan, Justin Goodman, Marc Moore, Chenliang Xu
An Attempt towards Interpretable Audio-Visual Video Captioning
11 pages, 4 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Automatically generating a natural language sentence to describe the content of an input video is a very challenging problem. It is an essential multimodal task in which auditory and visual contents are equally important. Although audio information has been exploited to improve video captioning in previous works, it ...
[ { "created": "Fri, 7 Dec 2018 01:57:42 GMT", "version": "v1" } ]
2018-12-10
[ [ "Tian", "Yapeng", "" ], [ "Guan", "Chenxiao", "" ], [ "Goodman", "Justin", "" ], [ "Moore", "Marc", "" ], [ "Xu", "Chenliang", "" ] ]
Automatically generating a natural language sentence to describe the content of an input video is a very challenging problem. It is an essential multimodal task in which auditory and visual contents are equally important. Although audio information has been exploited to improve video captioning in previous works, it is...
1605.05109
Seri Khoury
Amir Abboud, Keren Censor-Hillel and Seri Khoury
Near-Linear Lower Bounds for Distributed Distance Computations, Even in Sparse Networks
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a new technique for constructing sparse graphs that allow us to prove near-linear lower bounds on the round complexity of computing distances in the CONGEST model. Specifically, we show an $\widetilde{\Omega}(n)$ lower bound for computing the diameter in sparse networks, which was previously known only for...
[ { "created": "Tue, 17 May 2016 11:02:16 GMT", "version": "v1" } ]
2016-05-18
[ [ "Abboud", "Amir", "" ], [ "Censor-Hillel", "Keren", "" ], [ "Khoury", "Seri", "" ] ]
We develop a new technique for constructing sparse graphs that allow us to prove near-linear lower bounds on the round complexity of computing distances in the CONGEST model. Specifically, we show an $\widetilde{\Omega}(n)$ lower bound for computing the diameter in sparse networks, which was previously known only for d...
1705.02385
Sylvia Boyd
Sylvia Boyd, Andr\'as Seb\"o
The Salesman's Improved Tours for Fundamental Classes
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finding the exact integrality gap $\alpha$ for the LP relaxation of the metric Travelling Salesman Problem (TSP) has been an open problem for over thirty years, with little progress made. It is known that $4/3 \leq \alpha \leq 3/2$, and a famous conjecture states $\alpha = 4/3$. For this problem, essentially two "fun...
[ { "created": "Fri, 5 May 2017 20:05:24 GMT", "version": "v1" }, { "created": "Mon, 29 Oct 2018 21:50:55 GMT", "version": "v2" } ]
2018-10-31
[ [ "Boyd", "Sylvia", "" ], [ "Sebö", "András", "" ] ]
Finding the exact integrality gap $\alpha$ for the LP relaxation of the metric Travelling Salesman Problem (TSP) has been an open problem for over thirty years, with little progress made. It is known that $4/3 \leq \alpha \leq 3/2$, and a famous conjecture states $\alpha = 4/3$. For this problem, essentially two "funda...
2208.01639
Simson Garfinkel
Simson Garfinkel and Jonathan Stewart
Sharpening Your Tools: Updating bulk_extractor for the 2020s
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bulk_extractor is a high-performance digital forensics tool written in C++. Between 2018 and 2022 we updated the program from C++98 to C++17, performed a complete code refactoring, and adopted a unit test framework. The new version typically runs with 75\% more throughput than the previous version, which we attribute...
[ { "created": "Thu, 31 Mar 2022 17:45:46 GMT", "version": "v1" } ]
2022-08-04
[ [ "Garfinkel", "Simson", "" ], [ "Stewart", "Jonathan", "" ] ]
Bulk_extractor is a high-performance digital forensics tool written in C++. Between 2018 and 2022 we updated the program from C++98 to C++17, performed a complete code refactoring, and adopted a unit test framework. The new version typically runs with 75\% more throughput than the previous version, which we attribute t...
1509.02238
Fangfang Li
Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, and Longbing Cao
Coupling Analysis Between Twitter and Call Centre
19 pages
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media has been contributing many research areas such as data mining, recommender systems, time series analysis, etc. However, there are not many successful applications regarding social media in government agencies. In fact, lots of governments have social media accounts such as twitter and facebook. More and ...
[ { "created": "Tue, 8 Sep 2015 01:21:50 GMT", "version": "v1" } ]
2016-11-06
[ [ "Li", "Fangfang", "" ], [ "Zhao", "Yanchang", "" ], [ "Felsche", "Klaus", "" ], [ "Xu", "Guandong", "" ], [ "Cao", "Longbing", "" ] ]
Social media has been contributing many research areas such as data mining, recommender systems, time series analysis, etc. However, there are not many successful applications regarding social media in government agencies. In fact, lots of governments have social media accounts such as twitter and facebook. More and mo...
2001.10109
Kriton Konstantinidis
Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach
Accepted at IEEE Transactions on Neural Networks and Learning Systems
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Efficient modelling of feature interactions underpins supervised learning for non-sequential tasks, characterized by a lack of inherent ordering of features (variables). The brute force approach of learning a parameter for each interaction of every order comes at an exponential computational and memory cost (Curse of...
[ { "created": "Mon, 27 Jan 2020 22:38:40 GMT", "version": "v1" }, { "created": "Wed, 15 Apr 2020 09:10:27 GMT", "version": "v2" }, { "created": "Tue, 30 Mar 2021 09:29:17 GMT", "version": "v3" } ]
2021-03-31
[ [ "Haliassos", "Alexandros", "" ], [ "Konstantinidis", "Kriton", "" ], [ "Mandic", "Danilo P.", "" ] ]
Efficient modelling of feature interactions underpins supervised learning for non-sequential tasks, characterized by a lack of inherent ordering of features (variables). The brute force approach of learning a parameter for each interaction of every order comes at an exponential computational and memory cost (Curse of D...
2401.01313
Anku Rani
S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, Amitava Das
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
As Large Language Models (LLMs) continue to advance in their ability to write human-like text, a key challenge remains around their tendency to hallucinate generating content that appears factual but is ungrounded. This issue of hallucination is arguably the biggest hindrance to safely deploying these powerful LLMs i...
[ { "created": "Tue, 2 Jan 2024 17:56:30 GMT", "version": "v1" }, { "created": "Wed, 3 Jan 2024 17:13:00 GMT", "version": "v2" }, { "created": "Mon, 8 Jan 2024 16:19:17 GMT", "version": "v3" } ]
2024-01-09
[ [ "Tonmoy", "S. M Towhidul Islam", "" ], [ "Zaman", "S M Mehedi", "" ], [ "Jain", "Vinija", "" ], [ "Rani", "Anku", "" ], [ "Rawte", "Vipula", "" ], [ "Chadha", "Aman", "" ], [ "Das", "Amitava", "" ] ]
As Large Language Models (LLMs) continue to advance in their ability to write human-like text, a key challenge remains around their tendency to hallucinate generating content that appears factual but is ungrounded. This issue of hallucination is arguably the biggest hindrance to safely deploying these powerful LLMs int...
2404.06966
Johannes Burchert
Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, and Lars Schmidt-Thieme
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
null
null
null
null
cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As with most other data domains, EEG data analysis relies on rich domain-specific preprocessing. Beyond such preprocessing, machine learners would hope to deal with such data as with any other time series data. For EEG classification many models have been developed with layer types and architectures we typically do n...
[ { "created": "Wed, 10 Apr 2024 12:24:05 GMT", "version": "v1" } ]
2024-04-11
[ [ "Burchert", "Johannes", "" ], [ "Werner", "Thorben", "" ], [ "Yalavarthi", "Vijaya Krishna", "" ], [ "de Portugal", "Diego Coello", "" ], [ "Stubbemann", "Maximilian", "" ], [ "Schmidt-Thieme", "Lars", "" ] ]
As with most other data domains, EEG data analysis relies on rich domain-specific preprocessing. Beyond such preprocessing, machine learners would hope to deal with such data as with any other time series data. For EEG classification many models have been developed with layer types and architectures we typically do not...
1007.4531
Barak Fishbain
Barak Fishbain, Dorit S. Hochbaum, Stefan Mueller
Competitive Analysis of Minimum-Cut Maximum Flow Algorithms in Vision Problems
null
Journal of Real-Time Image Processing, March 2016, Vol. 11, Issue 3, pp 589-609. (Online April 2013.)
10.1007/s11554-013-0344-3.
null
cs.CV cs.DM math.CO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rapid advances in image acquisition and storage technology underline the need for algorithms that are capable of solving large scale image processing and computer-vision problems. The minimum cut problem plays an important role in processing many of these imaging problems such as, image and video segmentation, stereo...
[ { "created": "Mon, 26 Jul 2010 18:58:32 GMT", "version": "v1" }, { "created": "Mon, 18 Oct 2010 21:31:15 GMT", "version": "v2" } ]
2016-10-14
[ [ "Fishbain", "Barak", "" ], [ "Hochbaum", "Dorit S.", "" ], [ "Mueller", "Stefan", "" ] ]
Rapid advances in image acquisition and storage technology underline the need for algorithms that are capable of solving large scale image processing and computer-vision problems. The minimum cut problem plays an important role in processing many of these imaging problems such as, image and video segmentation, stereo v...
2109.04266
Daniel Bakkelund
Daniel Bakkelund
An objective function for order preserving hierarchical clustering
39 pages
null
null
null
cs.LG math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an objective function for similarity based hierarchical clustering of partially ordered data that preserves the partial order. That is, if $x \le y$, and if $[x]$ and $[y]$ are the respective clusters of $x$ and $y$, then there is an order relation $\le'$ on the clusters for which $[x] \le' |y]$. The theor...
[ { "created": "Thu, 9 Sep 2021 13:35:01 GMT", "version": "v1" }, { "created": "Fri, 31 Dec 2021 13:48:11 GMT", "version": "v2" }, { "created": "Sun, 1 May 2022 07:32:39 GMT", "version": "v3" } ]
2022-05-03
[ [ "Bakkelund", "Daniel", "" ] ]
We present an objective function for similarity based hierarchical clustering of partially ordered data that preserves the partial order. That is, if $x \le y$, and if $[x]$ and $[y]$ are the respective clusters of $x$ and $y$, then there is an order relation $\le'$ on the clusters for which $[x] \le' |y]$. The theory ...
cs/0502073
Maxime Crochemore
Maxime Crochemore (IGM), Jacques D\'esarm\'enien (IGM), Dominique Perrin (IGM)
A note on the Burrows-Wheeler transformation
2004
null
null
CDP04tcs
cs.DS
null
We relate the Burrows-Wheeler transformation with a result in combinatorics on words known as the Gessel-Reutenauer transformation.
[ { "created": "Thu, 17 Feb 2005 07:06:28 GMT", "version": "v1" } ]
2016-08-16
[ [ "Crochemore", "Maxime", "", "IGM" ], [ "Désarménien", "Jacques", "", "IGM" ], [ "Perrin", "Dominique", "", "IGM" ] ]
We relate the Burrows-Wheeler transformation with a result in combinatorics on words known as the Gessel-Reutenauer transformation.
2204.06299
Sherzod Hakimov
Sherzod Hakimov and Gullal S. Cheema and Ralph Ewerth
TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
Accepted for publication at SemEval-2022 Workshop, Task 5: MAMI - Multimedia Automatic Misogyny Identification co-located with NAACL 2022
null
null
null
cs.CL cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis. Hateful content is often used to target a group of people based on ethnicity, gender, religion and other factors. The hate or contempt toward women has been increasing on social platfo...
[ { "created": "Wed, 13 Apr 2022 11:03:21 GMT", "version": "v1" } ]
2022-04-14
[ [ "Hakimov", "Sherzod", "" ], [ "Cheema", "Gullal S.", "" ], [ "Ewerth", "Ralph", "" ] ]
The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis. Hateful content is often used to target a group of people based on ethnicity, gender, religion and other factors. The hate or contempt toward women has been increasing on social platform...
2403.09481
Paloma Rabaey
Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
Clinical Reasoning over Tabular Data and Text with Bayesian Networks
AI in Medicine 2024
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Bayesian networks are well-suited for clinical reasoning on tabular data, but are less compatible with natural language data, for which neural networks provide a successful framework. This paper compares and discusses strategies to augment Bayesian networks with neural text representations, both in a generative and d...
[ { "created": "Thu, 14 Mar 2024 15:25:23 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 16:48:27 GMT", "version": "v2" }, { "created": "Thu, 23 May 2024 13:41:19 GMT", "version": "v3" } ]
2024-05-24
[ [ "Rabaey", "Paloma", "" ], [ "Deleu", "Johannes", "" ], [ "Heytens", "Stefan", "" ], [ "Demeester", "Thomas", "" ] ]
Bayesian networks are well-suited for clinical reasoning on tabular data, but are less compatible with natural language data, for which neural networks provide a successful framework. This paper compares and discusses strategies to augment Bayesian networks with neural text representations, both in a generative and dis...
1902.06961
Jason R.C. Nurse Dr
Mariam Nouh and Jason R.C. Nurse and Helena Webb and Michael Goldsmith
Cybercrime Investigators are Users Too! Understanding the Socio-Technical Challenges Faced by Law Enforcement
11 pages, Proceedings of the 2019 Workshop on Usable Security (USEC) at Network and Distributed System Security Symposium (NDSS)
null
10.14722/usec.2019.23032
null
cs.HC cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cybercrime investigators face numerous challenges when policing online crimes. Firstly, the methods and processes they use when dealing with traditional crimes do not necessarily apply in the cyber-world. Additionally, cyber criminals are usually technologically-aware and constantly adapting and developing new tools ...
[ { "created": "Tue, 19 Feb 2019 09:25:10 GMT", "version": "v1" } ]
2019-02-20
[ [ "Nouh", "Mariam", "" ], [ "Nurse", "Jason R. C.", "" ], [ "Webb", "Helena", "" ], [ "Goldsmith", "Michael", "" ] ]
Cybercrime investigators face numerous challenges when policing online crimes. Firstly, the methods and processes they use when dealing with traditional crimes do not necessarily apply in the cyber-world. Additionally, cyber criminals are usually technologically-aware and constantly adapting and developing new tools th...
2210.14377
Niharika S. D'Souza
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, and Tanveer Syeda-Mahmood
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
Accepted into MICCAI 2022
null
10.1007/978-3-031-16449-1_28
null
cs.LG cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effective patient-tailored outcome prediction and therapeutic guidance will require fusing evidence from these modalities. Such multimodal fusion ...
[ { "created": "Tue, 25 Oct 2022 23:03:05 GMT", "version": "v1" } ]
2022-10-27
[ [ "D'Souza", "Niharika S.", "" ], [ "Wang", "Hongzhi", "" ], [ "Giovannini", "Andrea", "" ], [ "Foncubierta-Rodriguez", "Antonio", "" ], [ "Beck", "Kristen L.", "" ], [ "Boyko", "Orest", "" ], [ "Syeda-Mahmood", ...
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effective patient-tailored outcome prediction and therapeutic guidance will require fusing evidence from these modalities. Such multimodal fusion is...
cs/0506043
Kapil Bhattad
Krishna R. Narayanan and Kapil Bhattad
A Decision Feedback Based Scheme for Slepian-Wolf Coding of sources with Hidden Markov Correlation
Submitted to IEEE Comm. Letters
null
10.1109/LCOMM.2006.1633329
null
cs.IT math.IT
null
We consider the problem of compression of two memoryless binary sources, the correlation between which is defined by a Hidden Markov Model (HMM). We propose a Decision Feedback (DF) based scheme which when used with low density parity check codes results in compression close to the Slepian Wolf limits.
[ { "created": "Mon, 13 Jun 2005 13:17:21 GMT", "version": "v1" } ]
2016-11-17
[ [ "Narayanan", "Krishna R.", "" ], [ "Bhattad", "Kapil", "" ] ]
We consider the problem of compression of two memoryless binary sources, the correlation between which is defined by a Hidden Markov Model (HMM). We propose a Decision Feedback (DF) based scheme which when used with low density parity check codes results in compression close to the Slepian Wolf limits.
1904.10380
Feng Huang
Feng Huang, Peter Balazs
Harmonic-aligned Frame Mask Based on Non-stationary Gabor Transform with Application to Content-dependent Speaker Comparison
Interspeech2019
null
null
null
cs.SD eess.AS math.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose harmonic-aligned frame mask for speech signals using non-stationary Gabor transform (NSGT). A frame mask operates on the transfer coefficients of a signal and consequently converts the signal into a counterpart signal. It depicts the difference between the two signals. In preceding studies, frame masks bas...
[ { "created": "Tue, 23 Apr 2019 15:21:09 GMT", "version": "v1" } ]
2019-04-24
[ [ "Huang", "Feng", "" ], [ "Balazs", "Peter", "" ] ]
We propose harmonic-aligned frame mask for speech signals using non-stationary Gabor transform (NSGT). A frame mask operates on the transfer coefficients of a signal and consequently converts the signal into a counterpart signal. It depicts the difference between the two signals. In preceding studies, frame masks based...
2312.08584
Ahmed Esmin Ph.D.
Thiago Bellotti Furtado, Ahmed Esmin
Hybrid Content Dynamic Recommendation System Based in Adapted Tags and Applied to Digital Library
35 pages, 8 figures
null
null
null
cs.IR cs.DL
http://creativecommons.org/licenses/by-nc-nd/4.0/
The technological evolution of the library in the academic environment brought a lot of information and documents that are available to access, but these systems do not always have mechanisms to search in an integrated way the relevant information for the user. To alleviate this problem, we propose a recommendation s...
[ { "created": "Thu, 14 Dec 2023 01:11:41 GMT", "version": "v1" } ]
2023-12-15
[ [ "Furtado", "Thiago Bellotti", "" ], [ "Esmin", "Ahmed", "" ] ]
The technological evolution of the library in the academic environment brought a lot of information and documents that are available to access, but these systems do not always have mechanisms to search in an integrated way the relevant information for the user. To alleviate this problem, we propose a recommendation sys...
2405.03838
Eishi Arima
Eishi Arima, Minjoon Kang, Issa Saba, Josef Weidendorfer, Carsten Trinitis, Martin Schulz
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps
null
ICPP Workshops '22: Workshop Proceedings of the 51st International Conference on Parallel Processing, August 2022, Article No.: 9
10.1145/3547276.3548630
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
CPU-GPU heterogeneous systems are now commonly used in HPC (High-Performance Computing). However, improving the utilization and energy-efficiency of such systems is still one of the most critical issues. As one single program typically cannot fully utilize all resources within a node/chip, co-scheduling (or co-locati...
[ { "created": "Mon, 6 May 2024 20:40:38 GMT", "version": "v1" } ]
2024-05-08
[ [ "Arima", "Eishi", "" ], [ "Kang", "Minjoon", "" ], [ "Saba", "Issa", "" ], [ "Weidendorfer", "Josef", "" ], [ "Trinitis", "Carsten", "" ], [ "Schulz", "Martin", "" ] ]
CPU-GPU heterogeneous systems are now commonly used in HPC (High-Performance Computing). However, improving the utilization and energy-efficiency of such systems is still one of the most critical issues. As one single program typically cannot fully utilize all resources within a node/chip, co-scheduling (or co-locating...
2206.08856
Ayush Gupta
Ayush Gupta, Ahmed Baza, Ekaterina Dorzhieva, Mert Alper, Mariia Makarova, Stepan Perminov, Aleksey Fedoseev, Dzmitry Tsetserukou
SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot
Accepted paper at IEEE Vehicular Technology Conference 2022 (IEEE VTC 2022), IEEE copyright
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key technology is that instead of facilitating each agent of the swarm of drones with computer vision that considerably increases the payload ...
[ { "created": "Fri, 17 Jun 2022 15:56:29 GMT", "version": "v1" } ]
2022-06-20
[ [ "Gupta", "Ayush", "" ], [ "Baza", "Ahmed", "" ], [ "Dorzhieva", "Ekaterina", "" ], [ "Alper", "Mert", "" ], [ "Makarova", "Mariia", "" ], [ "Perminov", "Stepan", "" ], [ "Fedoseev", "Aleksey", "" ], [ ...
The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key technology is that instead of facilitating each agent of the swarm of drones with computer vision that considerably increases the payload an...
2312.09138
Liyuan Zhu
Liyuan Zhu and Shengyu Huang and Konrad Schindler and Iro Armeni
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
CVPR 2024 camera-ready
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research into dynamic 3D scene understanding has primarily focused on short-term change tracking from dense observations, while little attention has been paid to long-term changes with sparse observations. We address this gap with MoRE, a novel approach for multi-object relocalization and reconstruction in evolving e...
[ { "created": "Thu, 14 Dec 2023 17:09:57 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2024 18:16:26 GMT", "version": "v2" } ]
2024-03-28
[ [ "Zhu", "Liyuan", "" ], [ "Huang", "Shengyu", "" ], [ "Schindler", "Konrad", "" ], [ "Armeni", "Iro", "" ] ]
Research into dynamic 3D scene understanding has primarily focused on short-term change tracking from dense observations, while little attention has been paid to long-term changes with sparse observations. We address this gap with MoRE, a novel approach for multi-object relocalization and reconstruction in evolving env...
1612.01375
Paolo Massioni
Paolo Massioni and G\'erard Scorletti
Consensus analysis of large-scale nonlinear homogeneous multi-agent formations with polynomial dynamics
6 pages, 5 figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Drawing inspiration from the theory of linear "decomposable systems", we provide a method, based on linear matrix inequalities (LMIs), which makes it possible to prove the convergence (or consensus) of a set of interacting agents with polynomial dynamic. We also show that the use of a generalised version of the famou...
[ { "created": "Mon, 5 Dec 2016 14:40:20 GMT", "version": "v1" } ]
2016-12-06
[ [ "Massioni", "Paolo", "" ], [ "Scorletti", "Gérard", "" ] ]
Drawing inspiration from the theory of linear "decomposable systems", we provide a method, based on linear matrix inequalities (LMIs), which makes it possible to prove the convergence (or consensus) of a set of interacting agents with polynomial dynamic. We also show that the use of a generalised version of the famous ...
2108.02451
Lei Zhu
Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
Unifying Nonlocal Blocks for Neural Networks
Accept by ICCV 2021 Conference
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks. Although having shown excellent performance, they still lack the mechanism to encode the rich, structured information among elements in an image or video. In this paper, to theoretically analyze the...
[ { "created": "Thu, 5 Aug 2021 08:34:12 GMT", "version": "v1" }, { "created": "Fri, 13 Aug 2021 07:26:15 GMT", "version": "v2" }, { "created": "Tue, 17 Aug 2021 07:18:59 GMT", "version": "v3" } ]
2021-08-18
[ [ "Zhu", "Lei", "" ], [ "She", "Qi", "" ], [ "Li", "Duo", "" ], [ "Lu", "Yanye", "" ], [ "Kang", "Xuejing", "" ], [ "Hu", "Jie", "" ], [ "Wang", "Changhu", "" ] ]
The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks. Although having shown excellent performance, they still lack the mechanism to encode the rich, structured information among elements in an image or video. In this paper, to theoretically analyze the p...
2102.11625
Jukka Ruohonen
Jukka Ruohonen
Assessing the Readability of Policy Documents on the Digital Single Market of the European Union
Proceedings of the Eighth International Conference on eDemocracy & eGovernment (ICEDEG 2021), Quito (online), IEEE, pp. 205-209
null
10.1109/ICEDEG52154.2021.9530996
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today, literature skills are necessary. Engineering and other technical professions are not an exception from this requirement. Traditionally, technical reading and writing have been framed with a limited scope, containing documentation, specifications, standards, and related text types. Nowadays, however, the scope ...
[ { "created": "Tue, 23 Feb 2021 11:01:11 GMT", "version": "v1" }, { "created": "Wed, 15 Sep 2021 13:33:10 GMT", "version": "v2" } ]
2021-09-16
[ [ "Ruohonen", "Jukka", "" ] ]
Today, literature skills are necessary. Engineering and other technical professions are not an exception from this requirement. Traditionally, technical reading and writing have been framed with a limited scope, containing documentation, specifications, standards, and related text types. Nowadays, however, the scope co...
1210.5443
Robbert Van Renesse
Robbert van Renesse and H{\aa}vard Johansen and Nihar Naigaonkar and Dag Johansen
Secure Abstraction with Code Capabilities
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose embedding executable code fragments in cryptographically protected capabilities to enable flexible discretionary access control in cloud-like computing infrastructures. We are developing this as part of a sports analytics application that runs on a federation of public and enterprise clouds. The capability...
[ { "created": "Fri, 19 Oct 2012 15:17:28 GMT", "version": "v1" } ]
2012-10-22
[ [ "van Renesse", "Robbert", "" ], [ "Johansen", "Håvard", "" ], [ "Naigaonkar", "Nihar", "" ], [ "Johansen", "Dag", "" ] ]
We propose embedding executable code fragments in cryptographically protected capabilities to enable flexible discretionary access control in cloud-like computing infrastructures. We are developing this as part of a sports analytics application that runs on a federation of public and enterprise clouds. The capability m...
2105.00706
Feng Xia
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
Turing Number: How Far Are You to A. M. Turing Award?
8 pages, 3 figures
ACM SIGWEB Newsletter (2020)
10.1145/3427478.3427483
null
cs.SI cs.DL physics.data-an
http://creativecommons.org/licenses/by/4.0/
The ACM A.M. Turing Award is commonly acknowledged as the highest distinction in the realm of computer science. Since 1960s, it has been awarded to computer scientists who made outstanding contributions. The significance of this award is far-reaching to the laureates as well as their research teams. However, unlike t...
[ { "created": "Mon, 3 May 2021 09:28:36 GMT", "version": "v1" } ]
2021-05-04
[ [ "Xia", "Feng", "" ], [ "Liu", "Jiaying", "" ], [ "Ren", "Jing", "" ], [ "Wang", "Wei", "" ], [ "Kong", "Xiangjie", "" ] ]
The ACM A.M. Turing Award is commonly acknowledged as the highest distinction in the realm of computer science. Since 1960s, it has been awarded to computer scientists who made outstanding contributions. The significance of this award is far-reaching to the laureates as well as their research teams. However, unlike the...
cs/0411071
Pontus Svenson
Hedvig Sidenbladh, Pontus Svenson, Johan Schubert
Comparing Multi-Target Trackers on Different Force Unit Levels
9 pages
Proc SPIE Vol 5429, p 306-314 (2004)
10.1117/12.542024
null
cs.AI
null
Consider the problem of tracking a set of moving targets. Apart from the tracking result, it is often important to know where the tracking fails, either to steer sensors to that part of the state-space, or to inform a human operator about the status and quality of the obtained information. An intuitive quality measur...
[ { "created": "Fri, 19 Nov 2004 13:12:40 GMT", "version": "v1" } ]
2009-11-10
[ [ "Sidenbladh", "Hedvig", "" ], [ "Svenson", "Pontus", "" ], [ "Schubert", "Johan", "" ] ]
Consider the problem of tracking a set of moving targets. Apart from the tracking result, it is often important to know where the tracking fails, either to steer sensors to that part of the state-space, or to inform a human operator about the status and quality of the obtained information. An intuitive quality measure ...
2108.09982
Hyeongseok Son
Hyeongseok Son, Junyong Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee
Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
17 pages, Camera-ready version for ACM Transactions on Graphics (TOG) 2021
ACM Transactions on Graphics, Vol. 40, No. 5, Article 185, 2021
10.1145/3453720
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the success of video deblurring, it is essential to utilize information from neighboring frames. Most state-of-the-art video deblurring methods adopt motion compensation between video frames to aggregate information from multiple frames that can help deblur a target frame. However, the motion compensation methods...
[ { "created": "Mon, 23 Aug 2021 07:36:49 GMT", "version": "v1" } ]
2021-08-27
[ [ "Son", "Hyeongseok", "" ], [ "Lee", "Junyong", "" ], [ "Lee", "Jonghyeop", "" ], [ "Cho", "Sunghyun", "" ], [ "Lee", "Seungyong", "" ] ]
For the success of video deblurring, it is essential to utilize information from neighboring frames. Most state-of-the-art video deblurring methods adopt motion compensation between video frames to aggregate information from multiple frames that can help deblur a target frame. However, the motion compensation methods a...
2210.05411
Ramesh Doddaiah
Ramesh Doddaiah, Prathyush Parvatharaju, Elke Rundensteiner, Thomas Hartvigsen
Class-Specific Explainability for Deep Time Series Classifiers
This paper is accepted in ICDM 2022
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Explainability helps users trust deep learning solutions for time series classification. However, existing explainability methods for multi-class time series classifiers focus on one class at a time, ignoring relationships between the classes. Instead, when a classifier is choosing between many classes, an effective ...
[ { "created": "Tue, 11 Oct 2022 12:37:15 GMT", "version": "v1" } ]
2022-10-12
[ [ "Doddaiah", "Ramesh", "" ], [ "Parvatharaju", "Prathyush", "" ], [ "Rundensteiner", "Elke", "" ], [ "Hartvigsen", "Thomas", "" ] ]
Explainability helps users trust deep learning solutions for time series classification. However, existing explainability methods for multi-class time series classifiers focus on one class at a time, ignoring relationships between the classes. Instead, when a classifier is choosing between many classes, an effective ex...
2308.02694
Lennart Reimann
Lennart M. Reimann, Jonathan Wiesner, Dominik Sisejkovic, Farhad Merchant and Rainer Leupers
SoftFlow: Automated HW-SW Confidentiality Verification for Embedded Processors
6 pages, accepted at 31st IFIP/IEEE Conference on Very Large Scale Integration (VLSI-SoC 2023)
null
null
null
cs.CR cs.AR
http://creativecommons.org/licenses/by/4.0/
Despite its ever-increasing impact, security is not considered as a design objective in commercial electronic design automation (EDA) tools. This results in vulnerabilities being overlooked during the software-hardware design process. Specifically, vulnerabilities that allow leakage of sensitive data might stay unnot...
[ { "created": "Fri, 4 Aug 2023 20:11:46 GMT", "version": "v1" } ]
2023-08-08
[ [ "Reimann", "Lennart M.", "" ], [ "Wiesner", "Jonathan", "" ], [ "Sisejkovic", "Dominik", "" ], [ "Merchant", "Farhad", "" ], [ "Leupers", "Rainer", "" ] ]
Despite its ever-increasing impact, security is not considered as a design objective in commercial electronic design automation (EDA) tools. This results in vulnerabilities being overlooked during the software-hardware design process. Specifically, vulnerabilities that allow leakage of sensitive data might stay unnotic...
0707.3673
Damien Chablat
Damien Chablat (IRCCyN), Jorge Angeles (CIM)
The Computation of All 4R Serial Spherical Wrists With an Isotropic Architecture
null
Dans 2nd Workshop on Computational Kinematics - WCK, S\'eoul : Cor\'ee, R\'epublique de (05/2001)
null
WCK-2001
cs.RO
null
A spherical wrist of the serial type is said to be isotropic if it can attain a posture whereby the singular values of its Jacobian matrix are all identical and nonzero. What isotropy brings about is robustness to manufacturing, assembly, and measurement errors, thereby guaranteeing a maximum orientation accuracy. In...
[ { "created": "Wed, 25 Jul 2007 06:51:53 GMT", "version": "v1" } ]
2007-07-26
[ [ "Chablat", "Damien", "", "IRCCyN" ], [ "Angeles", "Jorge", "", "CIM" ] ]
A spherical wrist of the serial type is said to be isotropic if it can attain a posture whereby the singular values of its Jacobian matrix are all identical and nonzero. What isotropy brings about is robustness to manufacturing, assembly, and measurement errors, thereby guaranteeing a maximum orientation accuracy. In t...
2203.02574
Tianxin Tao
Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne
Style-ERD: Responsive and Coherent Online Motion Style Transfer
CVPR 2022, project page: https://tianxintao.github.io/Online-Motion-Style-Transfer
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motion style transfer is a common method for enriching character animation. Motion style transfer algorithms are often designed for offline settings where motions are processed in segments. However, for online animation applications, such as realtime avatar animation from motion capture, motions need to be processed ...
[ { "created": "Fri, 4 Mar 2022 21:12:09 GMT", "version": "v1" }, { "created": "Tue, 29 Mar 2022 00:53:19 GMT", "version": "v2" } ]
2022-03-30
[ [ "Tao", "Tianxin", "" ], [ "Zhan", "Xiaohang", "" ], [ "Chen", "Zhongquan", "" ], [ "van de Panne", "Michiel", "" ] ]
Motion style transfer is a common method for enriching character animation. Motion style transfer algorithms are often designed for offline settings where motions are processed in segments. However, for online animation applications, such as realtime avatar animation from motion capture, motions need to be processed as...
2006.15207
Jiefeng Chen
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Paper published at European Conference on Machine Learning (ECML'21)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting out-of-distribution (OOD) inputs is critical for safely deploying deep learning models in an open-world setting. However, existing OOD detection solutions can be brittle in the open world, facing various types of adversarial OOD inputs. While methods leveraging auxiliary OOD data have emerged, our analysis ...
[ { "created": "Fri, 26 Jun 2020 20:58:05 GMT", "version": "v1" }, { "created": "Sat, 3 Oct 2020 23:30:40 GMT", "version": "v2" }, { "created": "Tue, 22 Jun 2021 22:09:39 GMT", "version": "v3" }, { "created": "Wed, 30 Jun 2021 02:33:11 GMT", "version": "v4" } ]
2021-07-01
[ [ "Chen", "Jiefeng", "" ], [ "Li", "Yixuan", "" ], [ "Wu", "Xi", "" ], [ "Liang", "Yingyu", "" ], [ "Jha", "Somesh", "" ] ]
Detecting out-of-distribution (OOD) inputs is critical for safely deploying deep learning models in an open-world setting. However, existing OOD detection solutions can be brittle in the open world, facing various types of adversarial OOD inputs. While methods leveraging auxiliary OOD data have emerged, our analysis on...
1402.3766
Pascal Vanier
Alex Borello (LACL), Julien Cervelle (LACL), Pascal Vanier
Turing degrees of limit sets of cellular automata
null
null
null
null
cs.FL nlin.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cellular automata are discrete dynamical systems and a model of computation. The limit set of a cellular automaton consists of the configurations having an infinite sequence of preimages. It is well known that these always contain a computable point and that any non-trivial property on them is undecidable. We go one ...
[ { "created": "Sun, 16 Feb 2014 07:01:24 GMT", "version": "v1" } ]
2014-02-18
[ [ "Borello", "Alex", "", "LACL" ], [ "Cervelle", "Julien", "", "LACL" ], [ "Vanier", "Pascal", "" ] ]
Cellular automata are discrete dynamical systems and a model of computation. The limit set of a cellular automaton consists of the configurations having an infinite sequence of preimages. It is well known that these always contain a computable point and that any non-trivial property on them is undecidable. We go one st...
1806.07056
Vuk Marojevic
Marti Floriach-Pigem, Guillem Xercavins-Torregrosa, Antoni Gelonch-Bosch, Vuk Marojevic
Creating Tailored and Adaptive Network Services with the Open Orchestration C-RAN Framework
IEEE 5G World Forum 2018
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Next generation wireless communications networks will leverage software-defined radio and networking technologies, combined with cloud and fog computing. A pool of resources can then be dynamically allocated to create personalized network services (NSs). The enabling technologies are abstraction, virtualization and c...
[ { "created": "Tue, 19 Jun 2018 06:00:56 GMT", "version": "v1" } ]
2018-06-20
[ [ "Floriach-Pigem", "Marti", "" ], [ "Xercavins-Torregrosa", "Guillem", "" ], [ "Gelonch-Bosch", "Antoni", "" ], [ "Marojevic", "Vuk", "" ] ]
Next generation wireless communications networks will leverage software-defined radio and networking technologies, combined with cloud and fog computing. A pool of resources can then be dynamically allocated to create personalized network services (NSs). The enabling technologies are abstraction, virtualization and con...
1810.08711
Seva Shneer
Seva Shneer and Alexander Stolyar
Stability conditions for a decentralised medium access algorithm: single- and multi-hop networks
null
null
null
null
cs.IT math.IT math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a decentralised multi-access algorithm, motivated primarily by the control of transmissions in a wireless network. For a finite single-hop network with arbitrary interference constraints we prove stochastic stability under the natural conditions. For infinite and finite single-hop networks, we obtain broa...
[ { "created": "Fri, 19 Oct 2018 23:10:00 GMT", "version": "v1" }, { "created": "Fri, 31 May 2019 08:08:07 GMT", "version": "v2" } ]
2019-06-03
[ [ "Shneer", "Seva", "" ], [ "Stolyar", "Alexander", "" ] ]
We consider a decentralised multi-access algorithm, motivated primarily by the control of transmissions in a wireless network. For a finite single-hop network with arbitrary interference constraints we prove stochastic stability under the natural conditions. For infinite and finite single-hop networks, we obtain broad ...
0801.0452
V. Sreekanth Annapureddy
V. Sreekanth Annapureddy and Venugopal V. Veeravalli
Sum Capacity of the Gaussian Interference Channel in the Low Interference Regime
6 pages, 4 figures, Proceedings of ITA Workshop, San Diego, CA, Jan-Feb, 2008
null
null
null
cs.IT math.IT
null
New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum capacity if the interference levels are below certain thresholds.
[ { "created": "Wed, 2 Jan 2008 23:11:39 GMT", "version": "v1" } ]
2008-01-04
[ [ "Annapureddy", "V. Sreekanth", "" ], [ "Veeravalli", "Venugopal V.", "" ] ]
New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum capacity if the interference levels are below certain thresholds.
2006.11684
Yuan Shen
Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Katie Driggs Campbell
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Won Best Paper Award at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022)
null
null
null
cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad interests from researchers. Recent studies have found that providing explanations for autonomous vehicles' actions has many benefits (e.g., increased trust and acceptance), but put little emphasis on when an explanation is n...
[ { "created": "Sun, 21 Jun 2020 00:38:24 GMT", "version": "v1" }, { "created": "Sun, 30 Oct 2022 05:49:27 GMT", "version": "v2" }, { "created": "Thu, 10 Nov 2022 21:44:34 GMT", "version": "v3" }, { "created": "Wed, 21 Dec 2022 01:33:44 GMT", "version": "v4" } ]
2022-12-22
[ [ "Shen", "Yuan", "" ], [ "Jiang", "Shanduojiao", "" ], [ "Chen", "Yanlin", "" ], [ "Campbell", "Katie Driggs", "" ] ]
Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad interests from researchers. Recent studies have found that providing explanations for autonomous vehicles' actions has many benefits (e.g., increased trust and acceptance), but put little emphasis on when an explanation is nee...
1109.1068
Karteeka Pavan Kanadam
K. Karteeka Pavan, Allam Appa Rao, A. V. Dattatreya Rao
An Automatic Clustering Technique for Optimal Clusters
12 pages, 5 figures, 2 tables
International journal of Computer Sciene Engineering and Applications, Vol., No.4, 2011, pp 133-144
10.5121/ijcsea.2011.1412
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a simple, automatic and efficient clustering algorithm, namely, Automatic Merging for Optimal Clusters (AMOC) which aims to generate nearly optimal clusters for the given datasets automatically. The AMOC is an extension to standard k-means with a two phase iterative procedure combining certain val...
[ { "created": "Tue, 6 Sep 2011 05:34:28 GMT", "version": "v1" } ]
2011-09-07
[ [ "Pavan", "K. Karteeka", "" ], [ "Rao", "Allam Appa", "" ], [ "Rao", "A. V. Dattatreya", "" ] ]
This paper proposes a simple, automatic and efficient clustering algorithm, namely, Automatic Merging for Optimal Clusters (AMOC) which aims to generate nearly optimal clusters for the given datasets automatically. The AMOC is an extension to standard k-means with a two phase iterative procedure combining certain valid...
1705.04448
TonTon Huang
TonTon Hsien-De Huang, and Hung-Yu Kao
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Verison 2018/11/15, IEEE BigData 2018, Seattle, WA, USA, Dec 10-13, 2018. (Accepted)
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The influence of Deep Learning on image identification and natural language processing has attracted enormous attention globally. The convolution neural network that can learn without prior extraction of features fits well in response to the rapid iteration of Android malware. The traditional solution for detecting A...
[ { "created": "Fri, 12 May 2017 06:28:12 GMT", "version": "v1" }, { "created": "Fri, 21 Jul 2017 11:56:51 GMT", "version": "v2" }, { "created": "Fri, 1 Sep 2017 16:10:48 GMT", "version": "v3" }, { "created": "Tue, 5 Dec 2017 09:08:15 GMT", "version": "v4" }, { "cre...
2018-11-16
[ [ "Huang", "TonTon Hsien-De", "" ], [ "Kao", "Hung-Yu", "" ] ]
The influence of Deep Learning on image identification and natural language processing has attracted enormous attention globally. The convolution neural network that can learn without prior extraction of features fits well in response to the rapid iteration of Android malware. The traditional solution for detecting And...
2311.10699
George Cevora
Marcel Marais, Mate Hartstein, George Cevora
Using linear initialisation to improve speed of convergence and fully-trained error in Autoencoders
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Good weight initialisation is an important step in successful training of Artificial Neural Networks. Over time a number of improvements have been proposed to this process. In this paper we introduce a novel weight initialisation technique called the Straddled Matrix Initialiser. This initialisation technique is moti...
[ { "created": "Fri, 17 Nov 2023 18:43:32 GMT", "version": "v1" } ]
2023-11-20
[ [ "Marais", "Marcel", "" ], [ "Hartstein", "Mate", "" ], [ "Cevora", "George", "" ] ]
Good weight initialisation is an important step in successful training of Artificial Neural Networks. Over time a number of improvements have been proposed to this process. In this paper we introduce a novel weight initialisation technique called the Straddled Matrix Initialiser. This initialisation technique is motiva...
2112.01068
Quentin De Coninck
Quentin De Coninck
The Packet Number Space Debate in Multipath QUIC
7 pages, submitted to ACM CCR
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
With a standardization process that attracted many interest, QUIC can been seen as the next general-purpose transport protocol. Still, it does not provide true multipath support yet, missing some use cases that MPTCP can address. To fill that gap, the IETF recently adopted a multipath proposal merging all the propose...
[ { "created": "Thu, 2 Dec 2021 09:18:16 GMT", "version": "v1" } ]
2021-12-03
[ [ "De Coninck", "Quentin", "" ] ]
With a standardization process that attracted many interest, QUIC can been seen as the next general-purpose transport protocol. Still, it does not provide true multipath support yet, missing some use cases that MPTCP can address. To fill that gap, the IETF recently adopted a multipath proposal merging all the proposed ...
2207.02449
Naoya Fujita
Naoya Fujita and Hiroshi Watanabe
Information Compression and Performance Evaluation of Tic-Tac-Toe's Evaluation Function Using Singular Value Decomposition
15 pages, 5 figures, Updated contents
null
10.7566/JPSJ.92.034802
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We approximated the evaluation function for the game Tic-Tac-Toe by singular value decomposition (SVD) and investigated the effect of approximation accuracy on winning rate. We first prepared the perfect evaluation function of Tic-Tac-Toe and performed low-rank approximation by considering the evaluation function as ...
[ { "created": "Wed, 6 Jul 2022 05:40:32 GMT", "version": "v1" }, { "created": "Thu, 7 Jul 2022 12:40:24 GMT", "version": "v2" }, { "created": "Tue, 13 Sep 2022 14:56:50 GMT", "version": "v3" }, { "created": "Wed, 12 Oct 2022 06:53:38 GMT", "version": "v4" }, { "cre...
2023-03-22
[ [ "Fujita", "Naoya", "" ], [ "Watanabe", "Hiroshi", "" ] ]
We approximated the evaluation function for the game Tic-Tac-Toe by singular value decomposition (SVD) and investigated the effect of approximation accuracy on winning rate. We first prepared the perfect evaluation function of Tic-Tac-Toe and performed low-rank approximation by considering the evaluation function as a ...
1904.02341
Xin Huang
Xin Huang, Sungkweon Hong, Andreas Hofmann, Brian C. Williams
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments
Accepted at ICAPS'19. 10 pages, 6 figures, 1 table
null
null
null
cs.RO cs.AI cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A crucial challenge to efficient and robust motion planning for autonomous vehicles is understanding the intentions of the surrounding agents. Ignoring the intentions of the other agents in dynamic environments can lead to risky or over-conservative plans. In this work, we model the motion planning problem as a parti...
[ { "created": "Thu, 4 Apr 2019 04:19:38 GMT", "version": "v1" } ]
2019-04-05
[ [ "Huang", "Xin", "" ], [ "Hong", "Sungkweon", "" ], [ "Hofmann", "Andreas", "" ], [ "Williams", "Brian C.", "" ] ]
A crucial challenge to efficient and robust motion planning for autonomous vehicles is understanding the intentions of the surrounding agents. Ignoring the intentions of the other agents in dynamic environments can lead to risky or over-conservative plans. In this work, we model the motion planning problem as a partial...
1005.0218
Olivier Teste
Faiza Ghozzi (IRIT), Franck Ravat (IRIT), Olivier Teste (IRIT), Gilles Zurfluh (IRIT)
Contraintes pour mod\`ele et langage multidimensionnels
null
Bases de donn\'ees avanc\'ees 2003, Lyon : France (2003)
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper defines a constraint-based model dedicated to multidimensional databases. The model we define represents data through a constellation of facts (subjects of analyse) associated to dimensions (axis of analyse), which are possibly shared. Each dimension is organised according to several hierarchies (views of ...
[ { "created": "Mon, 3 May 2010 07:47:56 GMT", "version": "v1" } ]
2010-05-20
[ [ "Ghozzi", "Faiza", "", "IRIT" ], [ "Ravat", "Franck", "", "IRIT" ], [ "Teste", "Olivier", "", "IRIT" ], [ "Zurfluh", "Gilles", "", "IRIT" ] ]
This paper defines a constraint-based model dedicated to multidimensional databases. The model we define represents data through a constellation of facts (subjects of analyse) associated to dimensions (axis of analyse), which are possibly shared. Each dimension is organised according to several hierarchies (views of an...
2005.08396
Peng Fu
Peng Fu, Kohei Kishida, Neil J. Ross, Peter Selinger
A tutorial introduction to quantum circuit programming in dependently typed Proto-Quipper
Added a section on related work and a paragraph explaining qubit initialization and termination
LNCS 12227:153-168 (2020)
10.1007/978-3-030-52482-1_9
null
cs.PL quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce dependently typed Proto-Quipper, or Proto-Quipper-D for short, an experimental quantum circuit programming language with linear dependent types. We give several examples to illustrate how linear dependent types can help in the construction of correct quantum circuits. Specifically, we show how dependent ...
[ { "created": "Sun, 17 May 2020 23:31:23 GMT", "version": "v1" }, { "created": "Sat, 12 Dec 2020 18:31:19 GMT", "version": "v2" } ]
2023-07-04
[ [ "Fu", "Peng", "" ], [ "Kishida", "Kohei", "" ], [ "Ross", "Neil J.", "" ], [ "Selinger", "Peter", "" ] ]
We introduce dependently typed Proto-Quipper, or Proto-Quipper-D for short, an experimental quantum circuit programming language with linear dependent types. We give several examples to illustrate how linear dependent types can help in the construction of correct quantum circuits. Specifically, we show how dependent ty...
2306.11678
Ignacio Jimenez Gallo
Pablo Alex L\'azaro, Ignacio Jim\'enez Gallo, Juan Rold\'an Aranda, Alberto del Barrio Garc\'ia, Guillermo Botella Juan, Francisco Jim\'enez Molinos
Design and simulation of memristor-based neural networks
null
null
null
null
cs.ET
http://creativecommons.org/licenses/by-nc-nd/4.0/
In recent times, neural networks have been gaining increasing importance in fields such as pattern recognition and computer vision. However, their usage entails significant energy and hardware costs, limiting the domains in which this technology can be employed. In this context, the feasibility of utilizing analog ...
[ { "created": "Tue, 20 Jun 2023 16:56:11 GMT", "version": "v1" } ]
2023-06-21
[ [ "Lázaro", "Pablo Alex", "" ], [ "Gallo", "Ignacio Jiménez", "" ], [ "Aranda", "Juan Roldán", "" ], [ "García", "Alberto del Barrio", "" ], [ "Juan", "Guillermo Botella", "" ], [ "Molinos", "Francisco Jiménez", "" ] ]
In recent times, neural networks have been gaining increasing importance in fields such as pattern recognition and computer vision. However, their usage entails significant energy and hardware costs, limiting the domains in which this technology can be employed. In this context, the feasibility of utilizing analog circ...
1707.05653
Chandrasekhar Bhagavatula
Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
International Conference on Computer Vision (ICCV) 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or ignored as the pose of the face changes. In order to extract consistent align...
[ { "created": "Tue, 18 Jul 2017 14:51:35 GMT", "version": "v1" }, { "created": "Fri, 8 Sep 2017 16:58:53 GMT", "version": "v2" } ]
2017-09-11
[ [ "Bhagavatula", "Chandrasekhar", "" ], [ "Zhu", "Chenchen", "" ], [ "Luu", "Khoa", "" ], [ "Savvides", "Marios", "" ] ]
Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or ignored as the pose of the face changes. In order to extract consistent alignme...
1703.08433
Ching-Lueh Chang
Ching-Lueh Chang
Metric random matchings with applications
arXiv admin note: substantial text overlap with arXiv:1702.03106
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $(\{1,2,\ldots,n\},d)$ be a metric space. We analyze the expected value and the variance of $\sum_{i=1}^{\lfloor n/2\rfloor}\,d({\boldsymbol{\pi}}(2i-1),{\boldsymbol{\pi}}(2i))$ for a uniformly random permutation ${\boldsymbol{\pi}}$ of $\{1,2,\ldots,n\}$, leading to the following results: (I) Consider the proble...
[ { "created": "Fri, 24 Mar 2017 14:44:04 GMT", "version": "v1" } ]
2017-03-27
[ [ "Chang", "Ching-Lueh", "" ] ]
Let $(\{1,2,\ldots,n\},d)$ be a metric space. We analyze the expected value and the variance of $\sum_{i=1}^{\lfloor n/2\rfloor}\,d({\boldsymbol{\pi}}(2i-1),{\boldsymbol{\pi}}(2i))$ for a uniformly random permutation ${\boldsymbol{\pi}}$ of $\{1,2,\ldots,n\}$, leading to the following results: (I) Consider the problem ...
2010.03001
Giannis Bekoulis
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
A Review on Fact Extraction and Verification
Preprint - Accepted for publication in ACM Computing Surveys
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the fact checking problem, which aims to identify the veracity of a given claim. Specifically, we focus on the task of Fact Extraction and VERification (FEVER) and its accompanied dataset. The task consists of the subtasks of retrieving the relevant documents (and sentences) from Wikipedia and validating whe...
[ { "created": "Tue, 6 Oct 2020 20:05:43 GMT", "version": "v1" }, { "created": "Mon, 19 Oct 2020 20:35:52 GMT", "version": "v2" }, { "created": "Mon, 19 Apr 2021 09:46:36 GMT", "version": "v3" }, { "created": "Tue, 24 Aug 2021 15:40:14 GMT", "version": "v4" }, { "cr...
2021-11-22
[ [ "Bekoulis", "Giannis", "" ], [ "Papagiannopoulou", "Christina", "" ], [ "Deligiannis", "Nikos", "" ] ]
We study the fact checking problem, which aims to identify the veracity of a given claim. Specifically, we focus on the task of Fact Extraction and VERification (FEVER) and its accompanied dataset. The task consists of the subtasks of retrieving the relevant documents (and sentences) from Wikipedia and validating wheth...
2003.03516
Lingfeng Tao
Lingfeng Tao, Michael Bowman, Xu Zhou, Jiucai Zhang, Xiaoli Zhang
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
null
null
10.1007/s10846-022-01596-2
null
cs.RO cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enabling robots to provide effective assistance yet still accommodating the operator's commands for telemanipulation of an object is very challenging because robot's assistive action is not always intuitive for human operators and human behaviors and preferences are sometimes ambiguous for the robot to interpret. Alt...
[ { "created": "Sat, 7 Mar 2020 04:49:57 GMT", "version": "v1" }, { "created": "Sat, 19 Dec 2020 20:21:40 GMT", "version": "v2" } ]
2023-09-15
[ [ "Tao", "Lingfeng", "" ], [ "Bowman", "Michael", "" ], [ "Zhou", "Xu", "" ], [ "Zhang", "Jiucai", "" ], [ "Zhang", "Xiaoli", "" ] ]
Enabling robots to provide effective assistance yet still accommodating the operator's commands for telemanipulation of an object is very challenging because robot's assistive action is not always intuitive for human operators and human behaviors and preferences are sometimes ambiguous for the robot to interpret. Altho...
1612.06139
Josep Crego
Josep Crego and Jean Senellart
Neural Machine Translation from Simplified Translations
Submitted to EACL 2017 Short paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning ability of deep neural translation models. We conduct preliminary exp...
[ { "created": "Mon, 19 Dec 2016 11:50:58 GMT", "version": "v1" } ]
2016-12-20
[ [ "Crego", "Josep", "" ], [ "Senellart", "Jean", "" ] ]
Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning ability of deep neural translation models. We conduct preliminary exper...
2403.08828
Balint Gyevnar
Balint Gyevnar and Stephanie Droop and Tadeg Quillien and Shay B. Cohen and Neil R. Bramley and Christopher G. Lucas and Stefano V. Albrecht
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior
null
null
null
null
cs.HC cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cognitive science can help us understand which explanations people might expect, and in which format they frame these explanations, whether causal, counterfactual, or teleological (i.e., purpose-oriented). Understanding the relevance of these concepts is crucial for building good explainable AI (XAI) which offers rec...
[ { "created": "Mon, 11 Mar 2024 11:48:50 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2024 17:43:10 GMT", "version": "v2" } ]
2024-05-01
[ [ "Gyevnar", "Balint", "" ], [ "Droop", "Stephanie", "" ], [ "Quillien", "Tadeg", "" ], [ "Cohen", "Shay B.", "" ], [ "Bramley", "Neil R.", "" ], [ "Lucas", "Christopher G.", "" ], [ "Albrecht", "Stefano V.", ...
Cognitive science can help us understand which explanations people might expect, and in which format they frame these explanations, whether causal, counterfactual, or teleological (i.e., purpose-oriented). Understanding the relevance of these concepts is crucial for building good explainable AI (XAI) which offers recou...
2108.05598
Konstantinos Makantasis
Konstantinos Makantasis
AffRankNet+: Ranking Affect Using Privileged Information
8 pages, 4 figures, 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many of the affect modelling tasks present an asymmetric distribution of information between training and test time; additional information is given about the training data, which is not available at test time. Learning under this setting is called Learning Under Privileged Information (LUPI). At the same time, due t...
[ { "created": "Thu, 12 Aug 2021 08:36:31 GMT", "version": "v1" } ]
2021-08-13
[ [ "Makantasis", "Konstantinos", "" ] ]
Many of the affect modelling tasks present an asymmetric distribution of information between training and test time; additional information is given about the training data, which is not available at test time. Learning under this setting is called Learning Under Privileged Information (LUPI). At the same time, due to ...
2104.06159
Ivo Danihelka
Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt
Muesli: Combining Improvements in Policy Optimization
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel policy update that combines regularized policy optimization with model learning as an auxiliary loss. The update (henceforth Muesli) matches MuZero's state-of-the-art performance on Atari. Notably, Muesli does so without using deep search: it acts directly with a policy network and has computation ...
[ { "created": "Tue, 13 Apr 2021 13:04:29 GMT", "version": "v1" }, { "created": "Thu, 31 Mar 2022 09:35:40 GMT", "version": "v2" } ]
2022-04-01
[ [ "Hessel", "Matteo", "" ], [ "Danihelka", "Ivo", "" ], [ "Viola", "Fabio", "" ], [ "Guez", "Arthur", "" ], [ "Schmitt", "Simon", "" ], [ "Sifre", "Laurent", "" ], [ "Weber", "Theophane", "" ], [ "Sil...
We propose a novel policy update that combines regularized policy optimization with model learning as an auxiliary loss. The update (henceforth Muesli) matches MuZero's state-of-the-art performance on Atari. Notably, Muesli does so without using deep search: it acts directly with a policy network and has computation sp...
2207.04957
Frederick Qiu
Frederick Qiu and Sahil Singla
Submodular Dominance and Applications
Appears in APPROX 2022, 21 pages, 1 figure
null
null
null
cs.DS cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In submodular optimization we often deal with the expected value of a submodular function $f$ on a distribution $\mathcal{D}$ over sets of elements. In this work we study such submodular expectations for negatively dependent distributions. We introduce a natural notion of negative dependence, which we call Weak Negat...
[ { "created": "Mon, 11 Jul 2022 15:38:16 GMT", "version": "v1" } ]
2022-07-13
[ [ "Qiu", "Frederick", "" ], [ "Singla", "Sahil", "" ] ]
In submodular optimization we often deal with the expected value of a submodular function $f$ on a distribution $\mathcal{D}$ over sets of elements. In this work we study such submodular expectations for negatively dependent distributions. We introduce a natural notion of negative dependence, which we call Weak Negativ...
2301.09545
Jesse Josua Benjamin
Jesse Josua Benjamin, Heidi Biggs, Arne Berger, Julija Rukanskait\.e, Michael Heidt, Nick Merrill, James Pierce, Joseph Lindley
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
To be published in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23--28, 2023, Hamburg, Germany
null
10.1145/3544548.3581175
null
cs.HC cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we describe a Research-through-Design (RtD) project which explores this shift in the means and modes of image production via the creation and...
[ { "created": "Mon, 23 Jan 2023 17:03:54 GMT", "version": "v1" } ]
2023-01-24
[ [ "Benjamin", "Jesse Josua", "" ], [ "Biggs", "Heidi", "" ], [ "Berger", "Arne", "" ], [ "Rukanskaitė", "Julija", "" ], [ "Heidt", "Michael", "" ], [ "Merrill", "Nick", "" ], [ "Pierce", "James", "" ], [ ...
Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we describe a Research-through-Design (RtD) project which explores this shift in the means and modes of image production via the creation and u...
2004.12274
Baoyu Jing
Baoyu Jing, Zeya Wang, Eric Xing
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
ACL 2019
null
10.18653/v1/P19-1657
null
cs.CL cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Chest X-Ray (CXR) images are commonly used for clinical screening and diagnosis. Automatically writing reports for these images can considerably lighten the workload of radiologists for summarizing descriptive findings and conclusive impressions. The complex structures between and within sections of the reports pose ...
[ { "created": "Sun, 26 Apr 2020 02:29:20 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2020 17:44:44 GMT", "version": "v2" } ]
2020-07-24
[ [ "Jing", "Baoyu", "" ], [ "Wang", "Zeya", "" ], [ "Xing", "Eric", "" ] ]
Chest X-Ray (CXR) images are commonly used for clinical screening and diagnosis. Automatically writing reports for these images can considerably lighten the workload of radiologists for summarizing descriptive findings and conclusive impressions. The complex structures between and within sections of the reports pose a ...
1911.10470
Akari Asai Ms
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Published as a conference paper at ICLR 2020. Code is available at https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationship to the question. This paper introduces a new graph-based recurrent retrieval approach that learns to retrieve reasoning paths over the W...
[ { "created": "Sun, 24 Nov 2019 08:27:42 GMT", "version": "v1" }, { "created": "Fri, 14 Feb 2020 07:43:06 GMT", "version": "v2" } ]
2020-02-17
[ [ "Asai", "Akari", "" ], [ "Hashimoto", "Kazuma", "" ], [ "Hajishirzi", "Hannaneh", "" ], [ "Socher", "Richard", "" ], [ "Xiong", "Caiming", "" ] ]
Answering questions that require multi-hop reasoning at web-scale necessitates retrieving multiple evidence documents, one of which often has little lexical or semantic relationship to the question. This paper introduces a new graph-based recurrent retrieval approach that learns to retrieve reasoning paths over the Wik...
2406.08787
Parisa Kordjamshidi
Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi
A Survey on Compositional Learning of AI Models: Theoretical and Experimetnal Practices
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compositional learning, mastering the ability to combine basic concepts and construct more intricate ones, is crucial for human cognition, especially in human language comprehension and visual perception. This notion is tightly connected to generalization over unobserved situations. Despite its integral role in intel...
[ { "created": "Thu, 13 Jun 2024 03:46:21 GMT", "version": "v1" } ]
2024-06-14
[ [ "Sinha", "Sania", "" ], [ "Premsri", "Tanawan", "" ], [ "Kordjamshidi", "Parisa", "" ] ]
Compositional learning, mastering the ability to combine basic concepts and construct more intricate ones, is crucial for human cognition, especially in human language comprehension and visual perception. This notion is tightly connected to generalization over unobserved situations. Despite its integral role in intelli...
2311.01323
Qizhang Li
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Accepted by NeurIPS 2023
null
null
null
cs.LG cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The adversarial vulnerability of deep neural networks (DNNs) has drawn great attention due to the security risk of applying these models in real-world applications. Based on transferability of adversarial examples, an increasing number of transfer-based methods have been developed to fool black-box DNN models whose a...
[ { "created": "Thu, 2 Nov 2023 15:35:58 GMT", "version": "v1" } ]
2023-11-03
[ [ "Li", "Qizhang", "" ], [ "Guo", "Yiwen", "" ], [ "Zuo", "Wangmeng", "" ], [ "Chen", "Hao", "" ] ]
The adversarial vulnerability of deep neural networks (DNNs) has drawn great attention due to the security risk of applying these models in real-world applications. Based on transferability of adversarial examples, an increasing number of transfer-based methods have been developed to fool black-box DNN models whose arc...
2110.06758
Fuqun Huang
Fuqun Huang and Lorenzo Strigini
HEDP: A Method for Early Forecasting Software Defects based on Human Error Mechanisms
30 pages, 5 figures, and 17 tables
IEEE Access-2023
10.1109/ACCESS.2023.3234490
volume 11, page 3626-3652
cs.SE cs.AI cs.CC cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
As the primary cause of software defects, human error is the key to understanding, and perhaps to predicting and avoiding them. Little research has been done to predict defects on the basis of the cognitive errors that cause them. This paper proposes an approach to predicting software defects through knowledge about ...
[ { "created": "Wed, 13 Oct 2021 14:44:23 GMT", "version": "v1" } ]
2023-01-18
[ [ "Huang", "Fuqun", "" ], [ "Strigini", "Lorenzo", "" ] ]
As the primary cause of software defects, human error is the key to understanding, and perhaps to predicting and avoiding them. Little research has been done to predict defects on the basis of the cognitive errors that cause them. This paper proposes an approach to predicting software defects through knowledge about th...
1805.09521
Ehsan Adeli
Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, J\"urgen Gall, Ehsan Adeli
AVID: Adversarial Visual Irregularity Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With the surge of deep learning methods in the recent years, researchers have tried a wide spectrum of methods for different applications. Howeve...
[ { "created": "Thu, 24 May 2018 06:23:45 GMT", "version": "v1" }, { "created": "Tue, 17 Jul 2018 22:37:53 GMT", "version": "v2" } ]
2018-07-19
[ [ "Sabokrou", "Mohammad", "" ], [ "Pourreza", "Masoud", "" ], [ "Fayyaz", "Mohsen", "" ], [ "Entezari", "Rahim", "" ], [ "Fathy", "Mahmood", "" ], [ "Gall", "Jürgen", "" ], [ "Adeli", "Ehsan", "" ] ]
Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With the surge of deep learning methods in the recent years, researchers have tried a wide spectrum of methods for different applications. However,...
2307.06795
Denis Coquenet
Denis Coquenet and Cl\'ement Rambour and Emanuele Dalsasso and Nicolas Thome
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-language foundation models such as CLIP have shown impressive zero-shot performance on many tasks and datasets, especially thanks to their free-text inputs. However, they struggle to handle some downstream tasks, such as fine-grained attribute detection and localization. In this paper, we propose a multitask f...
[ { "created": "Thu, 13 Jul 2023 15:05:34 GMT", "version": "v1" } ]
2023-07-14
[ [ "Coquenet", "Denis", "" ], [ "Rambour", "Clément", "" ], [ "Dalsasso", "Emanuele", "" ], [ "Thome", "Nicolas", "" ] ]
Vision-language foundation models such as CLIP have shown impressive zero-shot performance on many tasks and datasets, especially thanks to their free-text inputs. However, they struggle to handle some downstream tasks, such as fine-grained attribute detection and localization. In this paper, we propose a multitask fin...
2201.08679
Rog\'erio Rossi
Rogerio Rossi and Kechi Hirama
Strategic Issues on Implementing a Software Process Improvement Program
InSITE Conference - Tampa, USA - 2015
null
10.28945/2193
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Software technology has high impact on the global economy as in many sectors of contemporary society. As a product enabling the most varied daily activities, the software product has to be produced reflecting high quality. Software quality is dependent on its development that is based in a large set of software devel...
[ { "created": "Sat, 15 Jan 2022 23:20:22 GMT", "version": "v1" } ]
2022-01-24
[ [ "Rossi", "Rogerio", "" ], [ "Hirama", "Kechi", "" ] ]
Software technology has high impact on the global economy as in many sectors of contemporary society. As a product enabling the most varied daily activities, the software product has to be produced reflecting high quality. Software quality is dependent on its development that is based in a large set of software develop...
1006.4444
William Jackson
Bruno Osorno
Analysis of Microprocessor Based Protective Re-lay's (MBPR) Differential Equation Algorithms
IEEE Publication Format, https://sites.google.com/site/journalofcomputing/
Journal of Computing, Vol. 2 No. 6, June 2010, NY, USA, ISSN 2151-9617
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper analyses and explains from the systems point of view, microprocessor based protective relay (MBPR) systems with emphasis on differential equation algorithms. Presently, the application of protective relaying in power systems, using MBPR systems, based on the differential equation algorithm is valued more t...
[ { "created": "Wed, 23 Jun 2010 08:29:36 GMT", "version": "v1" } ]
2010-06-24
[ [ "Osorno", "Bruno", "" ] ]
This paper analyses and explains from the systems point of view, microprocessor based protective relay (MBPR) systems with emphasis on differential equation algorithms. Presently, the application of protective relaying in power systems, using MBPR systems, based on the differential equation algorithm is valued more tha...
1806.09444
Nikita Jaipuria
Nikita Jaipuria, Golnaz Habibi, Jonathan P. How
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries
null
null
null
null
cs.LG cs.AI cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel framework for accurate pedestrian intent prediction at intersections. Given some prior knowledge of the curbside geometry, the presented framework can accurately predict pedestrian trajectories, even in new intersections that it has not been trained on. This is achieved by making use of th...
[ { "created": "Mon, 25 Jun 2018 13:19:45 GMT", "version": "v1" } ]
2018-06-26
[ [ "Jaipuria", "Nikita", "" ], [ "Habibi", "Golnaz", "" ], [ "How", "Jonathan P.", "" ] ]
This paper presents a novel framework for accurate pedestrian intent prediction at intersections. Given some prior knowledge of the curbside geometry, the presented framework can accurately predict pedestrian trajectories, even in new intersections that it has not been trained on. This is achieved by making use of the ...
2101.08333
Shuyang Li
Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian McAuley
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
Accepted as a Long Paper at EACL 2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dialog State Tracking (DST), an integral part of modern dialog systems, aims to track user preferences and constraints (slots) in task-oriented dialogs. In real-world settings with constantly changing services, DST systems must generalize to new domains and unseen slot types. Existing methods for DST do not generaliz...
[ { "created": "Wed, 20 Jan 2021 21:47:20 GMT", "version": "v1" } ]
2021-01-22
[ [ "Li", "Shuyang", "" ], [ "Cao", "Jin", "" ], [ "Sridhar", "Mukund", "" ], [ "Zhu", "Henghui", "" ], [ "Li", "Shang-Wen", "" ], [ "Hamza", "Wael", "" ], [ "McAuley", "Julian", "" ] ]
Dialog State Tracking (DST), an integral part of modern dialog systems, aims to track user preferences and constraints (slots) in task-oriented dialogs. In real-world settings with constantly changing services, DST systems must generalize to new domains and unseen slot types. Existing methods for DST do not generalize ...
1912.05333
Moein Hasani
Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks
null
null
10.1109/MVIP49855.2020.9116870
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capsule Networks (CapsNets) are brand-new architectures that have shown ground-breaking results in certain areas of Computer Vision (CV). In 2017, Hinton and his team introduced CapsNets with routing-by-agreement in "Sabour et al" and in a more recent paper "Matrix Capsules with EM Routing" they proposed a more compl...
[ { "created": "Wed, 11 Dec 2019 14:13:15 GMT", "version": "v1" }, { "created": "Sun, 22 Dec 2019 11:35:25 GMT", "version": "v2" }, { "created": "Fri, 31 Jul 2020 13:10:16 GMT", "version": "v3" } ]
2020-08-03
[ [ "Hasani", "Moein", "" ], [ "Saravi", "Amin Nasim", "" ], [ "Khotanlou", "Hassan", "" ] ]
Capsule Networks (CapsNets) are brand-new architectures that have shown ground-breaking results in certain areas of Computer Vision (CV). In 2017, Hinton and his team introduced CapsNets with routing-by-agreement in "Sabour et al" and in a more recent paper "Matrix Capsules with EM Routing" they proposed a more complet...
1911.04831
Jonguk Kim
Jonguk Kim, Jeong-Han Yun, Hyoung Chun Kim
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks
Accepted to 5th Workshop on the Security of Industrial Control Systems & of Cyber-Physical Systems (CyberICPS 2019) in conjunction with ESORICS 2019
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study proposes an anomaly detection method for operational data of industrial control systems (ICSs). Sequence-to-sequence neural networks were applied to train and predict ICS operational data and interpret their time-series characteristic. The proposed method requires only a normal dataset to understand ICS's ...
[ { "created": "Tue, 12 Nov 2019 13:16:15 GMT", "version": "v1" } ]
2019-11-13
[ [ "Kim", "Jonguk", "" ], [ "Yun", "Jeong-Han", "" ], [ "Kim", "Hyoung Chun", "" ] ]
This study proposes an anomaly detection method for operational data of industrial control systems (ICSs). Sequence-to-sequence neural networks were applied to train and predict ICS operational data and interpret their time-series characteristic. The proposed method requires only a normal dataset to understand ICS's no...
1805.01823
Jakub Gajarsk\'y
Jakub Gajarsk\'y, Petr Hlin\v{e}n\'y, Daniel Lokshtanov, Jan Obdr\v{z}\'alek, M.S. Ramanujan
A New Perspective on FO Model Checking of Dense Graph Classes
null
null
null
null
cs.LO cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the first-order (FO) model checking problem of dense graphs, namely those which have FO interpretations in (or are FO transductions of) some sparse graph classes. We give a structural characterization of the graph classes which are FO interpretable in graphs of bounded degree. This characterization allows us...
[ { "created": "Fri, 4 May 2018 15:29:16 GMT", "version": "v1" } ]
2018-05-07
[ [ "Gajarský", "Jakub", "" ], [ "Hliněný", "Petr", "" ], [ "Lokshtanov", "Daniel", "" ], [ "Obdržálek", "Jan", "" ], [ "Ramanujan", "M. S.", "" ] ]
We study the first-order (FO) model checking problem of dense graphs, namely those which have FO interpretations in (or are FO transductions of) some sparse graph classes. We give a structural characterization of the graph classes which are FO interpretable in graphs of bounded degree. This characterization allows us t...
2311.03526
Fuyuan Lyu
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
Towards Automated Negative Sampling in Implicit Recommendation
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Negative sampling methods are vital in implicit recommendation models as they allow us to obtain negative instances from massive unlabeled data. Most existing approaches focus on sampling hard negative samples in various ways. These studies are orthogonal to the recommendation model and implicit datasets. However, su...
[ { "created": "Mon, 6 Nov 2023 21:05:00 GMT", "version": "v1" } ]
2023-11-08
[ [ "Lyu", "Fuyuan", "" ], [ "Hu", "Yaochen", "" ], [ "Tang", "Xing", "" ], [ "Zhang", "Yingxue", "" ], [ "Tang", "Ruiming", "" ], [ "Liu", "Xue", "" ] ]
Negative sampling methods are vital in implicit recommendation models as they allow us to obtain negative instances from massive unlabeled data. Most existing approaches focus on sampling hard negative samples in various ways. These studies are orthogonal to the recommendation model and implicit datasets. However, such...
cs/0208005
Ulrich Hillenbrand
Ulrich Hillenbrand and Gerd Hirzinger
Probabilistic Search for Object Segmentation and Recognition
18 pages, 5 figures
Proceedings ECCV 2002, Lecture Notes in Computer Science Vol. 2352, pp. 791-806
null
null
cs.CV
null
The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical criterion, the truncated object probability, is introduced to infer an optimal sequence of object hypotheses to...
[ { "created": "Mon, 5 Aug 2002 10:57:09 GMT", "version": "v1" } ]
2007-05-23
[ [ "Hillenbrand", "Ulrich", "" ], [ "Hirzinger", "Gerd", "" ] ]
The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical criterion, the truncated object probability, is introduced to infer an optimal sequence of object hypotheses to b...
2306.10028
Pengye Zhang
Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
CIKM 2022 accepted
null
10.1145/3511808.3557336
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Click-through rate (CTR) prediction aims to predict the probability that the user will click an item, which has been one of the key tasks in online recommender and advertising systems. In such systems, rich user behavior (viz. long- and short-term) has been proved to be of great value in capturing user interests. Bot...
[ { "created": "Mon, 5 Jun 2023 07:04:34 GMT", "version": "v1" } ]
2023-06-21
[ [ "Sun", "Huinan", "" ], [ "Yu", "Guangliang", "" ], [ "Zhang", "Pengye", "" ], [ "Zhang", "Bo", "" ], [ "Wang", "Xingxing", "" ], [ "Wang", "Dong", "" ] ]
Click-through rate (CTR) prediction aims to predict the probability that the user will click an item, which has been one of the key tasks in online recommender and advertising systems. In such systems, rich user behavior (viz. long- and short-term) has been proved to be of great value in capturing user interests. Both ...
2208.11210
Andrea Gemelli
Davide del Bimbo and Andrea Gemelli and Simone Marinai
Data augmentation on graphs for table type classification
S+SSPR 2022
null
10.1007/978-3-031-23028-8_25
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Tables are widely used in documents because of their compact and structured representation of information. In particular, in scientific papers, tables can sum up novel discoveries and summarize experimental results, making the research comparable and easily understandable by scholars. Since the layout of tables is hi...
[ { "created": "Tue, 23 Aug 2022 21:54:46 GMT", "version": "v1" } ]
2023-02-21
[ [ "del Bimbo", "Davide", "" ], [ "Gemelli", "Andrea", "" ], [ "Marinai", "Simone", "" ] ]
Tables are widely used in documents because of their compact and structured representation of information. In particular, in scientific papers, tables can sum up novel discoveries and summarize experimental results, making the research comparable and easily understandable by scholars. Since the layout of tables is high...
2105.11794
Diana C. Hernandez-Bocanegra
Diana C. Hernandez-Bocanegra and Juergen Ziegler
Effects of interactivity and presentation on review-based explanations for recommendations
null
Human-Computer Interaction INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science, vol 12933. Springer, Cham., 597-618
10.1007/978-3-030-85616-8_35
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
User reviews have become an important source for recommending and explaining products or services. Particularly, providing explanations based on user reviews may improve users' perception of a recommender system (RS). However, little is known about how review-based explanations can be effectively and efficiently pres...
[ { "created": "Tue, 25 May 2021 09:54:42 GMT", "version": "v1" }, { "created": "Fri, 3 Sep 2021 13:42:34 GMT", "version": "v2" } ]
2021-09-06
[ [ "Hernandez-Bocanegra", "Diana C.", "" ], [ "Ziegler", "Juergen", "" ] ]
User reviews have become an important source for recommending and explaining products or services. Particularly, providing explanations based on user reviews may improve users' perception of a recommender system (RS). However, little is known about how review-based explanations can be effectively and efficiently presen...
1804.05097
Martin Holm Cservenka M.Sc.
Martin Holm Cservenka
Design and Implementation of Dynamic Memory Management in a Reversible Object-Oriented Programming Language
Master's Thesis, 231 pages, 63 figures
null
null
null
cs.PL cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The reversible object-oriented programming language (ROOPL) was presented in late 2016 and proved that object-oriented programming paradigms works in the reversible setting. The language featured simple statically scoped objects which made non-trivial programs tedious, if not impossible to write using the limited too...
[ { "created": "Thu, 12 Apr 2018 00:23:21 GMT", "version": "v1" } ]
2018-04-17
[ [ "Cservenka", "Martin Holm", "" ] ]
The reversible object-oriented programming language (ROOPL) was presented in late 2016 and proved that object-oriented programming paradigms works in the reversible setting. The language featured simple statically scoped objects which made non-trivial programs tedious, if not impossible to write using the limited tools...
2204.08474
Raphael Petegrosso
Raphael Petegrosso, Vasistakrishna Baderdinni, Thibaud Senechal, Benjamin L. Bullough
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy
Accepted to NAACL 2022 Industry Track
null
null
null
cs.SD cs.CR cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Evaluation of keyword spotting (KWS) systems that detect keywords in speech is a challenging task under realistic privacy constraints. The KWS is designed to only collect data when the keyword is present, limiting the availability of hard samples that may contain false negatives, and preventing direct estimation of m...
[ { "created": "Mon, 18 Apr 2022 13:52:22 GMT", "version": "v1" } ]
2022-04-20
[ [ "Petegrosso", "Raphael", "" ], [ "Baderdinni", "Vasistakrishna", "" ], [ "Senechal", "Thibaud", "" ], [ "Bullough", "Benjamin L.", "" ] ]
Evaluation of keyword spotting (KWS) systems that detect keywords in speech is a challenging task under realistic privacy constraints. The KWS is designed to only collect data when the keyword is present, limiting the availability of hard samples that may contain false negatives, and preventing direct estimation of mod...
1702.08104
Mike Eichhorn
Mike Eichhorn, Christopher D. Williams, Ralf Bachmayer, Brad de Young
A Mission Planning System for the AUV "SLOCUM Glider" for the Newfoundland and Labrador Shelf
9 pages, 13 figures, OCEANS 2010 IEEE - Sydney, 24-27 May 2010
null
10.1109/OCEANSSYD.2010.5603919
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a system for mission planning for an autonomous underwater vehicle in time-varying ocean currents. The mission planning system is designed for the AUV "SLOCUM Glider" to collect oceanographic data along the Newfoundland and Labrador Shelf. The data will be used in conjunction with a numerical ocea...
[ { "created": "Sun, 26 Feb 2017 22:38:50 GMT", "version": "v1" } ]
2017-02-28
[ [ "Eichhorn", "Mike", "" ], [ "Williams", "Christopher D.", "" ], [ "Bachmayer", "Ralf", "" ], [ "de Young", "Brad", "" ] ]
This paper presents a system for mission planning for an autonomous underwater vehicle in time-varying ocean currents. The mission planning system is designed for the AUV "SLOCUM Glider" to collect oceanographic data along the Newfoundland and Labrador Shelf. The data will be used in conjunction with a numerical ocean ...
2204.11302
Uli Fahrenberg
Uli Fahrenberg
A Generic Approach to Quantitative Verification
Habilitation thesis
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This thesis is concerned with quantitative verification, that is, the verification of quantitative properties of quantitative systems. These systems are found in numerous applications, and their quantitative verification is important, but also rather challenging. In particular, given that most systems found in applic...
[ { "created": "Sun, 24 Apr 2022 15:28:21 GMT", "version": "v1" } ]
2022-04-26
[ [ "Fahrenberg", "Uli", "" ] ]
This thesis is concerned with quantitative verification, that is, the verification of quantitative properties of quantitative systems. These systems are found in numerous applications, and their quantitative verification is important, but also rather challenging. In particular, given that most systems found in applicat...
2311.01477
Liqiang Jing
Liqiang Jing and Ruosen Li and Yunmo Chen and Mengzhao Jia and Xinya Du
FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce FAITHSCORE (Faithfulness to Atomic Image Facts Score), a reference-free and fine-grained evaluation metric that measures the faithfulness of the generated free-form answers from large vision-language models (LVLMs). The FAITHSCORE evaluation first identifies sub-sentences containing descriptive statement...
[ { "created": "Thu, 2 Nov 2023 01:21:45 GMT", "version": "v1" } ]
2023-11-06
[ [ "Jing", "Liqiang", "" ], [ "Li", "Ruosen", "" ], [ "Chen", "Yunmo", "" ], [ "Jia", "Mengzhao", "" ], [ "Du", "Xinya", "" ] ]
We introduce FAITHSCORE (Faithfulness to Atomic Image Facts Score), a reference-free and fine-grained evaluation metric that measures the faithfulness of the generated free-form answers from large vision-language models (LVLMs). The FAITHSCORE evaluation first identifies sub-sentences containing descriptive statements ...
1801.01552
Matilde Marcolli
Yuri I. Manin and Matilde Marcolli
Asymptotic bounds for spherical codes
34 pages amstex, 3 figures
null
10.1070/IM8739
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The set of all error-correcting codes C over a fixed finite alphabet F of cardinality q determines the set of code points in the unit square with coordinates (R(C), delta (C)):= (relative transmission rate, relative minimal distance). The central problem of the theory of such codes consists in maximizing simultaneous...
[ { "created": "Thu, 4 Jan 2018 21:43:02 GMT", "version": "v1" } ]
2019-09-04
[ [ "Manin", "Yuri I.", "" ], [ "Marcolli", "Matilde", "" ] ]
The set of all error-correcting codes C over a fixed finite alphabet F of cardinality q determines the set of code points in the unit square with coordinates (R(C), delta (C)):= (relative transmission rate, relative minimal distance). The central problem of the theory of such codes consists in maximizing simultaneously...
2309.10171
Yunhao Yang
Yunhao Yang, Jean-Rapha\"el Gaglione, Sandeep Chinchali, Ufuk Topcu
Specification-Driven Video Search via Foundation Models and Formal Verification
12 pages, 18 figures
null
null
null
cs.CV cs.FL
http://creativecommons.org/licenses/by/4.0/
The increasing abundance of video data enables users to search for events of interest, e.g., emergency incidents. Meanwhile, it raises new concerns, such as the need for preserving privacy. Existing approaches to video search require either manual inspection or a deep learning model with massive training. We develop ...
[ { "created": "Mon, 18 Sep 2023 21:40:08 GMT", "version": "v1" } ]
2023-09-20
[ [ "Yang", "Yunhao", "" ], [ "Gaglione", "Jean-Raphaël", "" ], [ "Chinchali", "Sandeep", "" ], [ "Topcu", "Ufuk", "" ] ]
The increasing abundance of video data enables users to search for events of interest, e.g., emergency incidents. Meanwhile, it raises new concerns, such as the need for preserving privacy. Existing approaches to video search require either manual inspection or a deep learning model with massive training. We develop a ...