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1606.04202
Avik Sengupta
Avik Sengupta and Ravi Tandon
Improved Approximation of Storage-Rate Tradeoff for Caching with Multiple Demands
Extended version of a submission to IEEE Trans. on Communications
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Caching at the network edge has emerged as a viable solution for alleviating the severe capacity crunch in modern content centric wireless networks by leveraging network load-balancing in the form of localized content storage and delivery. In this work, we consider a cache-aided network where the cache storage phase ...
[ { "created": "Tue, 14 Jun 2016 04:53:35 GMT", "version": "v1" } ]
2016-06-15
[ [ "Sengupta", "Avik", "" ], [ "Tandon", "Ravi", "" ] ]
Caching at the network edge has emerged as a viable solution for alleviating the severe capacity crunch in modern content centric wireless networks by leveraging network load-balancing in the form of localized content storage and delivery. In this work, we consider a cache-aided network where the cache storage phase is...
2107.02757
Zhibin Duan
Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
null
null
null
null
cs.IR cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hierarchical topic models such as the gamma belief network (GBN) have delivered promising results in mining multi-layer document representations and discovering interpretable topic taxonomies. However, they often assume in the prior that the topics at each layer are independently drawn from the Dirichlet distribution...
[ { "created": "Wed, 30 Jun 2021 10:14:57 GMT", "version": "v1" } ]
2021-07-07
[ [ "Duan", "Zhibin", "" ], [ "Wang", "Dongsheng", "" ], [ "Chen", "Bo", "" ], [ "Wang", "Chaojie", "" ], [ "Chen", "Wenchao", "" ], [ "Li", "Yewen", "" ], [ "Ren", "Jie", "" ], [ "Zhou", "Mingyuan"...
Hierarchical topic models such as the gamma belief network (GBN) have delivered promising results in mining multi-layer document representations and discovering interpretable topic taxonomies. However, they often assume in the prior that the topics at each layer are independently drawn from the Dirichlet distribution, ...
cs/0207007
Denis Popel
Denis V. Popel and Nawar Al-Hakeem
Evolutionary Circuit Design: Information Theory Perspective on Signal Propagation
5 pages, 3 figures, 2 tables, ISSPIT'2001
ISSPIT'2001
null
null
cs.OH
null
This paper presents case-study results on the application of information theoretic approach to gate-level evolutionary circuit design. We introduce information measures to provide better estimates of synthesis criteria of digital circuits. For example, the analysis of signal propagation during evolving gate-level syn...
[ { "created": "Wed, 3 Jul 2002 16:59:23 GMT", "version": "v1" } ]
2007-05-23
[ [ "Popel", "Denis V.", "" ], [ "Al-Hakeem", "Nawar", "" ] ]
This paper presents case-study results on the application of information theoretic approach to gate-level evolutionary circuit design. We introduce information measures to provide better estimates of synthesis criteria of digital circuits. For example, the analysis of signal propagation during evolving gate-level synth...
2005.04042
Stefan Hoffmann
Stefan Hoffmann
Computational Complexity of Synchronization under Regular Commutative Constraints
Published in COCOON 2020 (The 26th International Computing and Combinatorics Conference); 2nd version is update of the published version and 1st version; both contain a minor error, the assumption of maximality in the NP-c and PSPACE-c results (propositions 5 & 6) is missing, and of incomparability of the vecto...
Computing and Combinatorics, 26th International Conference, COCOON 2020, Proceedings, pages 460-471
10.1007/978-3-030-58150-3_37
null
cs.FL cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Here we study the computational complexity of the constrained synchronization problem for the class of regular commutative constraint languages. Utilizing a vector representation of regular commutative constraint languages, we give a full classification of the computational complexity of the constraint synchronizatio...
[ { "created": "Fri, 8 May 2020 13:43:23 GMT", "version": "v1" }, { "created": "Wed, 2 Sep 2020 20:12:21 GMT", "version": "v2" } ]
2020-09-04
[ [ "Hoffmann", "Stefan", "" ] ]
Here we study the computational complexity of the constrained synchronization problem for the class of regular commutative constraint languages. Utilizing a vector representation of regular commutative constraint languages, we give a full classification of the computational complexity of the constraint synchronization ...
2003.01993
Igor Buzhinsky
Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis
Metrics and methods for robustness evaluation of neural networks with generative models
24 pages, 9 figures; data in Table 3 and Fig. 3 corrected (results unchanged), several typos fixed, references updated
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have shown that modern deep neural network classifiers are easy to fool, assuming that an adversary is able to slightly modify their inputs. Many papers have proposed adversarial attacks, defenses and methods to measure robustness to such adversarial perturbations. However, most commonly considered adv...
[ { "created": "Wed, 4 Mar 2020 10:58:59 GMT", "version": "v1" }, { "created": "Sun, 15 Mar 2020 15:55:23 GMT", "version": "v2" } ]
2020-03-17
[ [ "Buzhinsky", "Igor", "" ], [ "Nerinovsky", "Arseny", "" ], [ "Tripakis", "Stavros", "" ] ]
Recent studies have shown that modern deep neural network classifiers are easy to fool, assuming that an adversary is able to slightly modify their inputs. Many papers have proposed adversarial attacks, defenses and methods to measure robustness to such adversarial perturbations. However, most commonly considered adver...
1806.00264
Ting-Ting Liang
Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao, Jing-Jing Lu and Mengyan Sun
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion
12 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the time-consuming routine work for a radiologist is to discern anatomical structures from tomographic images. For assisting radiologists, this paper develops an automatic segmentation method for pelvic magnetic resonance (MR) images. The task has three major challenges 1) A pelvic organ can have various sizes...
[ { "created": "Fri, 1 Jun 2018 10:13:45 GMT", "version": "v1" }, { "created": "Thu, 28 Jun 2018 16:57:39 GMT", "version": "v2" } ]
2018-06-29
[ [ "Liang", "Ting-Ting", "" ], [ "Tsutsui", "Satoshi", "" ], [ "Gao", "Liangcai", "" ], [ "Lu", "Jing-Jing", "" ], [ "Sun", "Mengyan", "" ] ]
One of the time-consuming routine work for a radiologist is to discern anatomical structures from tomographic images. For assisting radiologists, this paper develops an automatic segmentation method for pelvic magnetic resonance (MR) images. The task has three major challenges 1) A pelvic organ can have various sizes a...
2402.15420
Simon Holk
Simon Holk, Daniel Marta, Iolanda Leite
PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning
8 pages, 8 Figures, 2 Tables
null
10.1145/3610977.3634970
null
cs.RO cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Preference-based reinforcement learning (RL) has emerged as a new field in robot learning, where humans play a pivotal role in shaping robot behavior by expressing preferences on different sequences of state-action pairs. However, formulating realistic policies for robots demands responses from humans to an extensive...
[ { "created": "Fri, 23 Feb 2024 16:30:05 GMT", "version": "v1" } ]
2024-02-26
[ [ "Holk", "Simon", "" ], [ "Marta", "Daniel", "" ], [ "Leite", "Iolanda", "" ] ]
Preference-based reinforcement learning (RL) has emerged as a new field in robot learning, where humans play a pivotal role in shaping robot behavior by expressing preferences on different sequences of state-action pairs. However, formulating realistic policies for robots demands responses from humans to an extensive a...
2305.14749
Chaitanya K. Joshi
Chaitanya K. Joshi, Arian R. Jamasb, Ramon Vi\~nas, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Li\`o
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Previously titled 'Multi-State RNA Design with Geometric Multi-Graph Neural Networks', presented at ICML 2023 Computational Biology Workshop
null
null
null
cs.LG q-bio.BM q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D geometry and conformational diversity. We introduce gRNAde, a geometric RNA design pipeline operating on 3D RNA backbones to design sequences t...
[ { "created": "Wed, 24 May 2023 05:46:56 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 14:53:11 GMT", "version": "v2" }, { "created": "Sun, 28 May 2023 22:44:27 GMT", "version": "v3" }, { "created": "Sun, 31 Mar 2024 10:03:17 GMT", "version": "v4" }, { "c...
2024-05-28
[ [ "Joshi", "Chaitanya K.", "" ], [ "Jamasb", "Arian R.", "" ], [ "Viñas", "Ramon", "" ], [ "Harris", "Charles", "" ], [ "Mathis", "Simon V.", "" ], [ "Morehead", "Alex", "" ], [ "Anand", "Rishabh", "" ], ...
Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D geometry and conformational diversity. We introduce gRNAde, a geometric RNA design pipeline operating on 3D RNA backbones to design sequences tha...
2006.09785
Jathushan Rajasegaran
Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
Self-supervised Knowledge Distillation for Few-shot Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-world contains an overwhelmingly large number of object classes, learning all of which at once is infeasible. Few shot learning is a promising learning paradigm due to its ability to learn out of order distributions quickly with only a few samples. Recent works [7, 41] show that simply learning a good feature em...
[ { "created": "Wed, 17 Jun 2020 11:27:00 GMT", "version": "v1" }, { "created": "Tue, 4 Aug 2020 05:22:39 GMT", "version": "v2" } ]
2020-08-05
[ [ "Rajasegaran", "Jathushan", "" ], [ "Khan", "Salman", "" ], [ "Hayat", "Munawar", "" ], [ "Khan", "Fahad Shahbaz", "" ], [ "Shah", "Mubarak", "" ] ]
Real-world contains an overwhelmingly large number of object classes, learning all of which at once is infeasible. Few shot learning is a promising learning paradigm due to its ability to learn out of order distributions quickly with only a few samples. Recent works [7, 41] show that simply learning a good feature embe...
2008.02251
Thomas K\"ustner
Thomas K\"ustner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich H\"aring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, J\"urgen Machann
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
This manuscript has been accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA)
null
null
null
cs.CV eess.IV physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. Methods: Quantification and localization of different adipose tissue compartments from whole-body MR images is of high interest to examine metabolic conditions. For correct identificat...
[ { "created": "Wed, 5 Aug 2020 17:30:14 GMT", "version": "v1" } ]
2020-08-06
[ [ "Küstner", "Thomas", "" ], [ "Hepp", "Tobias", "" ], [ "Fischer", "Marc", "" ], [ "Schwartz", "Martin", "" ], [ "Fritsche", "Andreas", "" ], [ "Häring", "Hans-Ulrich", "" ], [ "Nikolaou", "Konstantin", "" ...
Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. Methods: Quantification and localization of different adipose tissue compartments from whole-body MR images is of high interest to examine metabolic conditions. For correct identificatio...
2001.07615
Stefan Ultes
Stefan Ultes
Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning
Published at SIGDIAL 2019
null
null
null
cs.CL cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning suitable and well-performing dialogue behaviour in statistical spoken dialogue systems has been in the focus of research for many years. While most work which is based on reinforcement learning employs an objective measure like task success for modelling the reward signal, we use a reward based on user satis...
[ { "created": "Tue, 21 Jan 2020 15:39:12 GMT", "version": "v1" } ]
2020-01-22
[ [ "Ultes", "Stefan", "" ] ]
Learning suitable and well-performing dialogue behaviour in statistical spoken dialogue systems has been in the focus of research for many years. While most work which is based on reinforcement learning employs an objective measure like task success for modelling the reward signal, we use a reward based on user satisfa...
2302.14294
Aravindh Raman
Haris Bin Zia, Jiahui He, Aravindh Raman, Ignacio Castro, Nishanth Sastry, Gareth Tyson
Flocking to Mastodon: Tracking the Great Twitter Migration
null
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised as many praises as concerns, particularly regarding Musk's views on free speech. As a result, a large number of Twitter users have looked for alternatives to Twitter. Mastodon, a decentralized micro-bl...
[ { "created": "Tue, 28 Feb 2023 03:59:19 GMT", "version": "v1" } ]
2023-03-01
[ [ "Zia", "Haris Bin", "" ], [ "He", "Jiahui", "" ], [ "Raman", "Aravindh", "" ], [ "Castro", "Ignacio", "" ], [ "Sastry", "Nishanth", "" ], [ "Tyson", "Gareth", "" ] ]
The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised as many praises as concerns, particularly regarding Musk's views on free speech. As a result, a large number of Twitter users have looked for alternatives to Twitter. Mastodon, a decentralized micro-blog...
1905.02691
Patrick M. Pilarski
Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker
Learned human-agent decision-making, communication and joint action in a virtual reality environment
5 pages, 3 figures. Accepted to The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, July 7-10, 2019, McGill University, Montreal, Quebec, Canada
null
null
null
cs.AI cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans make decisions and act alongside other humans to pursue both short-term and long-term goals. As a result of ongoing progress in areas such as computing science and automation, humans now also interact with non-human agents of varying complexity as part of their day-to-day activities; substantial work is being ...
[ { "created": "Tue, 7 May 2019 16:53:48 GMT", "version": "v1" } ]
2019-05-08
[ [ "Pilarski", "Patrick M.", "" ], [ "Butcher", "Andrew", "" ], [ "Johanson", "Michael", "" ], [ "Botvinick", "Matthew M.", "" ], [ "Bolt", "Andrew", "" ], [ "Parker", "Adam S. R.", "" ] ]
Humans make decisions and act alongside other humans to pursue both short-term and long-term goals. As a result of ongoing progress in areas such as computing science and automation, humans now also interact with non-human agents of varying complexity as part of their day-to-day activities; substantial work is being do...
2207.05316
Connor Parde
Connor J. Parde, Virginia E. Strehle, Vivekjyoti Banerjee, Ying Hu, Jacqueline G. Cavazos, Carlos D. Castillo, Alice J. O'Toole
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate highly-similar faces. Here, humans and a DCNN performed a challenging face-identity matching task that included identical twins. Participa...
[ { "created": "Tue, 12 Jul 2022 04:59:53 GMT", "version": "v1" } ]
2022-07-13
[ [ "Parde", "Connor J.", "" ], [ "Strehle", "Virginia E.", "" ], [ "Banerjee", "Vivekjyoti", "" ], [ "Hu", "Ying", "" ], [ "Cavazos", "Jacqueline G.", "" ], [ "Castillo", "Carlos D.", "" ], [ "O'Toole", "Alice J."...
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate highly-similar faces. Here, humans and a DCNN performed a challenging face-identity matching task that included identical twins. Participant...
2008.03444
Xinyi Xu Mr
Xinyi Xu and Tiancheng Huang and Pengfei Wei and Akshay Narayan and Tze-Yun Leong
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
In Submission to AAMAS 2021
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work is inspired by recent advances in hierarchical reinforcement learning (HRL) (Barto and Mahadevan 2003; Hengst 2010), and improvements in learning efficiency from heuristic-based subgoal selection, experience replay (Lin 1993; Andrychowicz et al. 2017), and task-based curriculum learning (Bengio et al. 2009;...
[ { "created": "Sat, 8 Aug 2020 04:56:30 GMT", "version": "v1" }, { "created": "Sat, 26 Sep 2020 00:15:12 GMT", "version": "v2" }, { "created": "Tue, 29 Sep 2020 01:15:05 GMT", "version": "v3" } ]
2020-09-30
[ [ "Xu", "Xinyi", "" ], [ "Huang", "Tiancheng", "" ], [ "Wei", "Pengfei", "" ], [ "Narayan", "Akshay", "" ], [ "Leong", "Tze-Yun", "" ] ]
This work is inspired by recent advances in hierarchical reinforcement learning (HRL) (Barto and Mahadevan 2003; Hengst 2010), and improvements in learning efficiency from heuristic-based subgoal selection, experience replay (Lin 1993; Andrychowicz et al. 2017), and task-based curriculum learning (Bengio et al. 2009; Z...
0707.0568
Gesualdo Scutari
Gesualdo Scutari, D.P. Palomar, S. Barbarossa
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria
Paper submitted to IEEE Transactions on Signal Processing, September 22, 2005. Revised March 14, 2007. Accepted June 5, 2007. To be published on IEEE Transactions on Signal Processing, 2007. To appear on IEEE Transactions on Signal Processing, 2007
null
10.1109/TSP.2007.907807
null
cs.IT cs.GT math.IT
null
In this two-parts paper we propose a decentralized strategy, based on a game-theoretic formulation, to find out the optimal precoding/multiplexing matrices for a multipoint-to-multipoint communication system composed of a set of wideband links sharing the same physical resources, i.e., time and bandwidth. We assume, ...
[ { "created": "Wed, 4 Jul 2007 10:33:25 GMT", "version": "v1" } ]
2009-11-13
[ [ "Scutari", "Gesualdo", "" ], [ "Palomar", "D. P.", "" ], [ "Barbarossa", "S.", "" ] ]
In this two-parts paper we propose a decentralized strategy, based on a game-theoretic formulation, to find out the optimal precoding/multiplexing matrices for a multipoint-to-multipoint communication system composed of a set of wideband links sharing the same physical resources, i.e., time and bandwidth. We assume, as...
1807.06614
Ayonga Hereid
Ayonga Hereid, Omar Harib, Ross Hartley, Yukai Gong and Jessy W. Grizzle
Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped
null
null
null
null
cs.RO cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the big attractions of low-dimensional models for gait design has been the ability to compute solutions rapidly, whereas one of their drawbacks has been the difficulty in mapping the solutions back to the target robot. This paper presents a set of tools for rapidly determining solutions for ``humanoids'' witho...
[ { "created": "Tue, 17 Jul 2018 18:28:06 GMT", "version": "v1" }, { "created": "Fri, 20 Jul 2018 15:15:58 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2019 16:39:06 GMT", "version": "v3" } ]
2019-03-18
[ [ "Hereid", "Ayonga", "" ], [ "Harib", "Omar", "" ], [ "Hartley", "Ross", "" ], [ "Gong", "Yukai", "" ], [ "Grizzle", "Jessy W.", "" ] ]
One of the big attractions of low-dimensional models for gait design has been the ability to compute solutions rapidly, whereas one of their drawbacks has been the difficulty in mapping the solutions back to the target robot. This paper presents a set of tools for rapidly determining solutions for ``humanoids'' without...
1410.6796
Wojciech Mazurczyk
Wojciech Mazurczyk and Luca Caviglione
Steganography in Modern Smartphones and Mitigation Techniques
25 pages, 8 figures, 6 tables
null
null
null
cs.MM cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By offering sophisticated services and centralizing a huge volume of personal data, modern smartphones changed the way we socialize, entertain and work. To this aim, they rely upon complex hardware/software frameworks leading to a number of vulnerabilities, attacks and hazards to profile individuals or gather sensiti...
[ { "created": "Wed, 27 Aug 2014 08:46:05 GMT", "version": "v1" } ]
2014-10-27
[ [ "Mazurczyk", "Wojciech", "" ], [ "Caviglione", "Luca", "" ] ]
By offering sophisticated services and centralizing a huge volume of personal data, modern smartphones changed the way we socialize, entertain and work. To this aim, they rely upon complex hardware/software frameworks leading to a number of vulnerabilities, attacks and hazards to profile individuals or gather sensitive...
2006.08157
Yunwen Lei
Yunwen Lei and Yiming Ying
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
to appear in ICML 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently there are a considerable amount of work devoted to the study of the algorithmic stability and generalization for stochastic gradient descent (SGD). However, the existing stability analysis requires to impose restrictive assumptions on the boundedness of gradients, strong smoothness and convexity of loss func...
[ { "created": "Mon, 15 Jun 2020 06:30:19 GMT", "version": "v1" } ]
2020-06-16
[ [ "Lei", "Yunwen", "" ], [ "Ying", "Yiming", "" ] ]
Recently there are a considerable amount of work devoted to the study of the algorithmic stability and generalization for stochastic gradient descent (SGD). However, the existing stability analysis requires to impose restrictive assumptions on the boundedness of gradients, strong smoothness and convexity of loss functi...
2002.08347
Florian Tram\`er
Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry
On Adaptive Attacks to Adversarial Example Defenses
NeurIPS 2020
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adaptive attacks have (rightfully) become the de facto standard for evaluating defenses to adversarial examples. We find, however, that typical adaptive evaluations are incomplete. We demonstrate that thirteen defenses recently published at ICLR, ICML and NeurIPS---and chosen for illustrative and pedagogical purposes...
[ { "created": "Wed, 19 Feb 2020 18:50:29 GMT", "version": "v1" }, { "created": "Fri, 23 Oct 2020 12:07:41 GMT", "version": "v2" } ]
2020-10-26
[ [ "Tramer", "Florian", "" ], [ "Carlini", "Nicholas", "" ], [ "Brendel", "Wieland", "" ], [ "Madry", "Aleksander", "" ] ]
Adaptive attacks have (rightfully) become the de facto standard for evaluating defenses to adversarial examples. We find, however, that typical adaptive evaluations are incomplete. We demonstrate that thirteen defenses recently published at ICLR, ICML and NeurIPS---and chosen for illustrative and pedagogical purposes--...
2104.04748
Zhengxu Hou
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
9 pages
NAACL 2021
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the sparse rewards in RL.To solve this problem, many strategies have been proposed to give proper rewards when training RL, but their rewards lac...
[ { "created": "Sat, 10 Apr 2021 12:20:23 GMT", "version": "v1" } ]
2021-04-13
[ [ "Hou", "Zhengxu", "" ], [ "Liu", "Bang", "" ], [ "Zhao", "Ruihui", "" ], [ "Ou", "Zijing", "" ], [ "Liu", "Yafei", "" ], [ "Chen", "Xi", "" ], [ "Zheng", "Yefeng", "" ] ]
For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the sparse rewards in RL.To solve this problem, many strategies have been proposed to give proper rewards when training RL, but their rewards lack ...
1706.02494
Rong Zhang
Rong Zhang and Lie-Liang Yang and Lajos Hanzo
Physical Layer Security of Generalised Pre-coded Spatial Modulation with Antenna Scrambling
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We now advocate a novel physical layer security solution that is unique to our previously proposed GPSM scheme with the aid of the proposed antenna scrambling. The novelty and contribution of our paper lies in three aspects: 1/ principle: we introduce a `security key' generated at Alice that is unknown to both Bob an...
[ { "created": "Thu, 8 Jun 2017 09:48:08 GMT", "version": "v1" } ]
2017-06-09
[ [ "Zhang", "Rong", "" ], [ "Yang", "Lie-Liang", "" ], [ "Hanzo", "Lajos", "" ] ]
We now advocate a novel physical layer security solution that is unique to our previously proposed GPSM scheme with the aid of the proposed antenna scrambling. The novelty and contribution of our paper lies in three aspects: 1/ principle: we introduce a `security key' generated at Alice that is unknown to both Bob and ...
0705.0561
Jingchao Chen
Jing-Chao Chen
Iterative Rounding for the Closest String Problem
This paper has been published in abstract Booklet of CiE09
null
null
null
cs.DS cs.CC
http://creativecommons.org/licenses/by-nc-sa/3.0/
The closest string problem is an NP-hard problem, whose task is to find a string that minimizes maximum Hamming distance to a given set of strings. This can be reduced to an integer program (IP). However, to date, there exists no known polynomial-time algorithm for IP. In 2004, Meneses et al. introduced a branch-and-...
[ { "created": "Fri, 4 May 2007 03:01:42 GMT", "version": "v1" }, { "created": "Wed, 11 May 2011 00:18:55 GMT", "version": "v2" } ]
2011-05-12
[ [ "Chen", "Jing-Chao", "" ] ]
The closest string problem is an NP-hard problem, whose task is to find a string that minimizes maximum Hamming distance to a given set of strings. This can be reduced to an integer program (IP). However, to date, there exists no known polynomial-time algorithm for IP. In 2004, Meneses et al. introduced a branch-and-bo...
2208.05810
Minji Kim
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
Towards Sequence-Level Training for Visual Tracking
ECCV 2022
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is a sequence-level task in its nature; they rely heavily on frame-level training, which inevitably induces inconsistency between training an...
[ { "created": "Thu, 11 Aug 2022 13:15:36 GMT", "version": "v1" }, { "created": "Tue, 20 Sep 2022 12:46:53 GMT", "version": "v2" }, { "created": "Sun, 16 Oct 2022 16:05:12 GMT", "version": "v3" } ]
2022-10-18
[ [ "Kim", "Minji", "" ], [ "Lee", "Seungkwan", "" ], [ "Ok", "Jungseul", "" ], [ "Han", "Bohyung", "" ], [ "Cho", "Minsu", "" ] ]
Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is a sequence-level task in its nature; they rely heavily on frame-level training, which inevitably induces inconsistency between training and ...
1905.12261
Che-Han Chang
Che-Han Chang, Chun-Hsien Yu, Szu-Ying Chen, Edward Y. Chang
KG-GAN: Knowledge-Guided Generative Adversarial Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Can generative adversarial networks (GANs) generate roses of various colors given only roses of red petals as input? The answer is negative, since GANs' discriminator would reject all roses of unseen petal colors. In this study, we propose knowledge-guided GAN (KG-GAN) to fuse domain knowledge with the GAN framework....
[ { "created": "Wed, 29 May 2019 07:55:46 GMT", "version": "v1" }, { "created": "Mon, 23 Sep 2019 09:48:33 GMT", "version": "v2" } ]
2019-09-24
[ [ "Chang", "Che-Han", "" ], [ "Yu", "Chun-Hsien", "" ], [ "Chen", "Szu-Ying", "" ], [ "Chang", "Edward Y.", "" ] ]
Can generative adversarial networks (GANs) generate roses of various colors given only roses of red petals as input? The answer is negative, since GANs' discriminator would reject all roses of unseen petal colors. In this study, we propose knowledge-guided GAN (KG-GAN) to fuse domain knowledge with the GAN framework. K...
2108.13015
Pengguang Chen
Pengguang Chen, Yixin Chen, Shu Liu, Mingchang Yang, Jiaya Jia
Exploring and Improving Mobile Level Vision Transformers
10 pages; 5 figures; preprint
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the vision transformer structure in the mobile level in this paper, and find a dramatic performance drop. We analyze the reason behind this phenomenon, and propose a novel irregular patch embedding module and adaptive patch fusion module to improve the performance. We conjecture that the vision transformer b...
[ { "created": "Mon, 30 Aug 2021 06:42:49 GMT", "version": "v1" } ]
2021-08-31
[ [ "Chen", "Pengguang", "" ], [ "Chen", "Yixin", "" ], [ "Liu", "Shu", "" ], [ "Yang", "Mingchang", "" ], [ "Jia", "Jiaya", "" ] ]
We study the vision transformer structure in the mobile level in this paper, and find a dramatic performance drop. We analyze the reason behind this phenomenon, and propose a novel irregular patch embedding module and adaptive patch fusion module to improve the performance. We conjecture that the vision transformer blo...
2201.02850
Rayson Laroca
Gabriel Salomon, Rayson Laroca, David Menotti
Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
null
Measurement, vol. 204, p. 112025, 2022
10.1016/j.measurement.2022.112025
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The replacement of analog meters with smart meters is costly, laborious, and far from complete in developing countries. The Energy Company of Parana (Copel) (Brazil) performs more than 4 million meter readings (almost entirely of non-smart devices) per month, and we estimate that 850 thousand of them are from dial me...
[ { "created": "Sat, 8 Jan 2022 16:03:46 GMT", "version": "v1" }, { "created": "Sun, 23 Oct 2022 11:56:38 GMT", "version": "v2" } ]
2022-10-25
[ [ "Salomon", "Gabriel", "" ], [ "Laroca", "Rayson", "" ], [ "Menotti", "David", "" ] ]
The replacement of analog meters with smart meters is costly, laborious, and far from complete in developing countries. The Energy Company of Parana (Copel) (Brazil) performs more than 4 million meter readings (almost entirely of non-smart devices) per month, and we estimate that 850 thousand of them are from dial mete...
1906.10495
Joshua Cook
Joshua Alan Cook
Approximating Unitary Preparations of Orthogonal Black Box States
A Class project Paper for CS395T Quantum Complexity Theory at UT Austin in Spring 2019 under Scott Aaronson
null
null
null
cs.CC quant-ph
http://creativecommons.org/licenses/by/4.0/
In this paper, I take a step toward answering the following question: for m different small circuits that compute m orthogonal n qubit states, is there a small circuit that will map m computational basis states to these m states without any input leaving any auxiliary bits changed. While this may seem simple, the con...
[ { "created": "Sun, 23 Jun 2019 01:21:52 GMT", "version": "v1" } ]
2019-06-26
[ [ "Cook", "Joshua Alan", "" ] ]
In this paper, I take a step toward answering the following question: for m different small circuits that compute m orthogonal n qubit states, is there a small circuit that will map m computational basis states to these m states without any input leaving any auxiliary bits changed. While this may seem simple, the const...
cs/0407066
Tentyukov Mikhail
M.Tentyukov, D.Fliegner, M.Frank, A.Onischenko, A.Retey, H.M.Staudenmaier and J.A.M.Vermaseren
ParFORM: Parallel Version of the Symbolic Manipulation Program FORM
5 pages, 4 Encapsulated postscript figures, LaTeX2e uses casc.cls (included). Presented at CASC'04 http://wwwmayr.in.tum.de/CASC2004/
null
null
TTP04-15
cs.SC cs.DC hep-ph
null
After an introduction to the sequential version of FORM and the mechanisms behind, we report on the status of our project of parallelization. We have now a parallel version of FORM running on Cluster- and SMP-architectures. This version can be used to run arbitrary FORM programs in parallel.
[ { "created": "Fri, 30 Jul 2004 10:06:16 GMT", "version": "v1" } ]
2007-05-23
[ [ "Tentyukov", "M.", "" ], [ "Fliegner", "D.", "" ], [ "Frank", "M.", "" ], [ "Onischenko", "A.", "" ], [ "Retey", "A.", "" ], [ "Staudenmaier", "H. M.", "" ], [ "Vermaseren", "J. A. M.", "" ] ]
After an introduction to the sequential version of FORM and the mechanisms behind, we report on the status of our project of parallelization. We have now a parallel version of FORM running on Cluster- and SMP-architectures. This version can be used to run arbitrary FORM programs in parallel.
2212.01545
Ruihao Zheng
Ruihao Zheng and Zhenkun Wang
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization
Correct some typos. (Accepted for presentation at Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23))
null
10.1609/aaai.v37i10.26474
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The decomposition-based multi-objective evolutionary algorithm (MOEA/D) transforms a multi-objective optimization problem (MOP) into a set of single-objective subproblems for collaborative optimization. Mismatches between subproblems and solutions can lead to severe performance degradation of MOEA/D. Most existing mi...
[ { "created": "Sat, 3 Dec 2022 05:55:04 GMT", "version": "v1" }, { "created": "Tue, 7 Nov 2023 00:46:59 GMT", "version": "v2" } ]
2023-11-08
[ [ "Zheng", "Ruihao", "" ], [ "Wang", "Zhenkun", "" ] ]
The decomposition-based multi-objective evolutionary algorithm (MOEA/D) transforms a multi-objective optimization problem (MOP) into a set of single-objective subproblems for collaborative optimization. Mismatches between subproblems and solutions can lead to severe performance degradation of MOEA/D. Most existing mism...
2108.09939
Mashiat Mostafa
Mashiat Mostafa and Faheem Hussain
Transcending Old Boundaries: Digital Afterlife in the Age of COVID-19
In proceedings of the 1st Virtual Conference on Implications of Information and Digital Technologies for Development, 2021
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
The primary objective of our exploratory research is to contribute to the ongoing conversation on Digital Afterlife from the lenses of Global South during the COVID-19 period. Digital Afterlife is fast becoming a challenge for our increasingly connected society. Moreover, the situation got worse with the COVID-19 pan...
[ { "created": "Mon, 23 Aug 2021 05:21:03 GMT", "version": "v1" } ]
2021-08-24
[ [ "Mostafa", "Mashiat", "" ], [ "Hussain", "Faheem", "" ] ]
The primary objective of our exploratory research is to contribute to the ongoing conversation on Digital Afterlife from the lenses of Global South during the COVID-19 period. Digital Afterlife is fast becoming a challenge for our increasingly connected society. Moreover, the situation got worse with the COVID-19 pande...
0803.2365
Ganesh Narayan
V Sriram, Ganesh Narayan, K Gopinath
SAFIUS - A secure and accountable filesystem over untrusted storage
11pt, 12 pages, 16 figures
Fourth International IEEE Security in Storage Workshop, 2007 - SISW '07. Publication Date: 27-27 Sept. 2007 On page(s): 34-45
10.1109/SISW.2007.7
null
cs.OS cs.CR cs.DC cs.NI cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe SAFIUS, a secure accountable file system that resides over an untrusted storage. SAFIUS provides strong security guarantees like confidentiality, integrity, prevention from rollback attacks, and accountability. SAFIUS also enables read/write sharing of data and provides the standard UNIX-like interface fo...
[ { "created": "Sun, 16 Mar 2008 18:24:13 GMT", "version": "v1" } ]
2016-11-18
[ [ "Sriram", "V", "" ], [ "Narayan", "Ganesh", "" ], [ "Gopinath", "K", "" ] ]
We describe SAFIUS, a secure accountable file system that resides over an untrusted storage. SAFIUS provides strong security guarantees like confidentiality, integrity, prevention from rollback attacks, and accountability. SAFIUS also enables read/write sharing of data and provides the standard UNIX-like interface for ...
2105.03389
EPTCS
Patricia Johann (Appalachian State University), Enrico Ghiorzi (Appalachian State University), Daniel Jeffries (Appalachian State University)
GADTs, Functoriality, Parametricity: Pick Two
In Proceedings LSFA 2021, arXiv:2204.03415
EPTCS 357, 2022, pp. 77-92
10.4204/EPTCS.357.6
null
cs.LO cs.PL
http://creativecommons.org/licenses/by/4.0/
GADTs can be represented either as their Church encodings a la Atkey, or as fixpoints a la Johann and Polonsky. While a GADT represented as its Church encoding need not support a map function satisfying the functor laws, the fixpoint representation of a GADT must support such a map function even to be well-defined. T...
[ { "created": "Fri, 7 May 2021 16:50:42 GMT", "version": "v1" }, { "created": "Tue, 7 Dec 2021 11:06:49 GMT", "version": "v2" }, { "created": "Fri, 8 Apr 2022 07:18:08 GMT", "version": "v3" } ]
2022-04-11
[ [ "Johann", "Patricia", "", "Appalachian State University" ], [ "Ghiorzi", "Enrico", "", "Appalachian State University" ], [ "Jeffries", "Daniel", "", "Appalachian State\n University" ] ]
GADTs can be represented either as their Church encodings a la Atkey, or as fixpoints a la Johann and Polonsky. While a GADT represented as its Church encoding need not support a map function satisfying the functor laws, the fixpoint representation of a GADT must support such a map function even to be well-defined. The...
1208.0944
Nader Ale Ebrahim
Nader Ale Ebrahim, Shamsuddin Ahmed, Zahari Taha
Establishing Virtual R&D Teams: Obliged Policy
6th IMC (International Management Conference). Tehran, Iran 2008
null
null
null
cs.OH
http://creativecommons.org/licenses/by/3.0/
In a global and technology oriented world the requirements that products and services have to fulfill are increasing and are getting more complicated. Research and development (R&D) is becoming increasingly important in creating the knowledge that makes research and business more competitive. Companies are obliged to...
[ { "created": "Sat, 4 Aug 2012 16:35:48 GMT", "version": "v1" } ]
2012-08-07
[ [ "Ebrahim", "Nader Ale", "" ], [ "Ahmed", "Shamsuddin", "" ], [ "Taha", "Zahari", "" ] ]
In a global and technology oriented world the requirements that products and services have to fulfill are increasing and are getting more complicated. Research and development (R&D) is becoming increasingly important in creating the knowledge that makes research and business more competitive. Companies are obliged to p...
1802.00771
Vinay Namboodiri
Shashank Sharma and Vinay P. Namboodiri
No Modes left behind: Capturing the data distribution effectively using GANs
accepted to AAAI 2018 conference
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative adversarial networks (GANs) while being very versatile in realistic image synthesis, still are sensitive to the input distribution. Given a set of data that has an imbalance in the distribution, the networks are susceptible to missing modes and not capturing the data distribution. While various methods hav...
[ { "created": "Fri, 2 Feb 2018 17:10:55 GMT", "version": "v1" } ]
2018-02-05
[ [ "Sharma", "Shashank", "" ], [ "Namboodiri", "Vinay P.", "" ] ]
Generative adversarial networks (GANs) while being very versatile in realistic image synthesis, still are sensitive to the input distribution. Given a set of data that has an imbalance in the distribution, the networks are susceptible to missing modes and not capturing the data distribution. While various methods have ...
2108.00320
Stefan Konigorski
Alexander M. Zenner, Erwin B\"ottinger, Stefan Konigorski
StudyMe: A New Mobile App for User-Centric N-of-1 Trials
null
null
null
null
cs.HC cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
N-of-1 trials are multi-crossover self-experiments that allow individuals to systematically evaluate the effect of interventions on their personal health goals. Although several tools for N-of-1 trials exist, none support non-experts in conducting their own user-centric trials. In this study we present StudyMe, an op...
[ { "created": "Sat, 31 Jul 2021 20:43:36 GMT", "version": "v1" } ]
2021-08-03
[ [ "Zenner", "Alexander M.", "" ], [ "Böttinger", "Erwin", "" ], [ "Konigorski", "Stefan", "" ] ]
N-of-1 trials are multi-crossover self-experiments that allow individuals to systematically evaluate the effect of interventions on their personal health goals. Although several tools for N-of-1 trials exist, none support non-experts in conducting their own user-centric trials. In this study we present StudyMe, an open...
2205.02754
Mulong Luo
Mulong Luo, G. Edward Suh
Accelerating Path Planning for Autonomous Driving with Hardware-Assisted Memoization
null
null
null
null
cs.RO cs.AR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Path planning for autonomous driving with dynamic obstacles poses a challenge because it needs to perform a higher-dimensional search (with time-dimension) while still meeting real-time constraints. This paper proposes an algorithm-hardware co-optimization approach to accelerate path planning with high-dimensional se...
[ { "created": "Thu, 5 May 2022 16:31:14 GMT", "version": "v1" }, { "created": "Fri, 27 May 2022 15:35:50 GMT", "version": "v2" } ]
2022-05-30
[ [ "Luo", "Mulong", "" ], [ "Suh", "G. Edward", "" ] ]
Path planning for autonomous driving with dynamic obstacles poses a challenge because it needs to perform a higher-dimensional search (with time-dimension) while still meeting real-time constraints. This paper proposes an algorithm-hardware co-optimization approach to accelerate path planning with high-dimensional sear...
2404.13798
Jensen Hwa
Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
To appear at the 2024 IEEE CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Conditional independence (CI) constraints are critical for defining and evaluating fairness in machine learning, as well as for learning unconfounded or causal representations. Traditional methods for ensuring fairness either blindly learn invariant features with respect to a protected variable (e.g., race when class...
[ { "created": "Sun, 21 Apr 2024 23:34:45 GMT", "version": "v1" } ]
2024-04-23
[ [ "Hwa", "Jensen", "" ], [ "Zhao", "Qingyu", "" ], [ "Lahiri", "Aditya", "" ], [ "Masood", "Adnan", "" ], [ "Salimi", "Babak", "" ], [ "Adeli", "Ehsan", "" ] ]
Conditional independence (CI) constraints are critical for defining and evaluating fairness in machine learning, as well as for learning unconfounded or causal representations. Traditional methods for ensuring fairness either blindly learn invariant features with respect to a protected variable (e.g., race when classif...
2405.12945
Rishikesh Gajjala
Rishikesh Gajjala and Jayanth Ravi
Improved upper bounds for the Heilbronn's Problem for $k$-gons
To appear in the Canadian Conference on Computational Geometry (CCCG) 2024
null
null
null
cs.DM cs.CG math.CO
http://creativecommons.org/licenses/by/4.0/
The Heilbronn triangle problem asks for the placement of $n$ points in a unit square that maximizes the smallest area of a triangle formed by any three of those points. In $1972$, Schmidt considered a natural generalization of this problem. He asked for the placement of $n$ points in a unit square that maximizes the ...
[ { "created": "Tue, 21 May 2024 17:17:25 GMT", "version": "v1" } ]
2024-05-22
[ [ "Gajjala", "Rishikesh", "" ], [ "Ravi", "Jayanth", "" ] ]
The Heilbronn triangle problem asks for the placement of $n$ points in a unit square that maximizes the smallest area of a triangle formed by any three of those points. In $1972$, Schmidt considered a natural generalization of this problem. He asked for the placement of $n$ points in a unit square that maximizes the sm...
1904.02322
Youshan Zhang
Youshan Zhang, Brian D. Davison
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have been widely used in computer vision. There are several well trained deep neural networks for the ImageNet classification challenge, which has played a significant role in image recognition. However, little work has explored pre-trained neural networks for image recognition in domain adaption...
[ { "created": "Thu, 4 Apr 2019 03:00:24 GMT", "version": "v1" }, { "created": "Thu, 18 Apr 2019 15:04:36 GMT", "version": "v2" } ]
2019-04-19
[ [ "Zhang", "Youshan", "" ], [ "Davison", "Brian D.", "" ] ]
Deep neural networks have been widely used in computer vision. There are several well trained deep neural networks for the ImageNet classification challenge, which has played a significant role in image recognition. However, little work has explored pre-trained neural networks for image recognition in domain adaption. ...
1904.05394
Marco Huber
Nina Schaaf, Marco F. Huber, and Johannes Maucher
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
8 pages, 18th IEEE International Conference on Machine Learning and Applications (ICMLA) 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One obstacle that so far prevents the introduction of machine learning models primarily in critical areas is the lack of explainability. In this work, a practicable approach of gaining explainability of deep artificial neural networks (NN) using an interpretable surrogate model based on decision trees is presented. S...
[ { "created": "Wed, 10 Apr 2019 19:11:47 GMT", "version": "v1" }, { "created": "Thu, 3 Oct 2019 19:57:24 GMT", "version": "v2" } ]
2019-10-07
[ [ "Schaaf", "Nina", "" ], [ "Huber", "Marco F.", "" ], [ "Maucher", "Johannes", "" ] ]
One obstacle that so far prevents the introduction of machine learning models primarily in critical areas is the lack of explainability. In this work, a practicable approach of gaining explainability of deep artificial neural networks (NN) using an interpretable surrogate model based on decision trees is presented. Sim...
1706.06810
Jongpil Lee
Jongpil Lee, Juhan Nam
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
ICML Music Discovery Workshop 2017
null
null
null
cs.SD cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Music tag words that describe music audio by text have different levels of abstraction. Taking this issue into account, we propose a music classification approach that aggregates multi-level and multi-scale features using pre-trained feature extractors. In particular, the feature extractors are trained in sample-leve...
[ { "created": "Wed, 21 Jun 2017 09:57:24 GMT", "version": "v1" } ]
2017-06-22
[ [ "Lee", "Jongpil", "" ], [ "Nam", "Juhan", "" ] ]
Music tag words that describe music audio by text have different levels of abstraction. Taking this issue into account, we propose a music classification approach that aggregates multi-level and multi-scale features using pre-trained feature extractors. In particular, the feature extractors are trained in sample-level ...
1108.6123
Aleksandar Nikolov
Jean Bolot, Nadia Fawaz, S. Muthukrishnan, Aleksandar Nikolov, Nina Taft
Private Decayed Sum Estimation under Continual Observation
null
null
10.1145/2448496.2448530
null
cs.DS cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In monitoring applications, recent data is more important than distant data. How does this affect privacy of data analysis? We study a general class of data analyses - computing predicate sums - with privacy. Formally, we study the problem of estimating predicate sums {\em privately}, for sliding windows (and other w...
[ { "created": "Wed, 31 Aug 2011 03:56:50 GMT", "version": "v1" }, { "created": "Sat, 3 Mar 2012 01:06:44 GMT", "version": "v2" } ]
2013-08-05
[ [ "Bolot", "Jean", "" ], [ "Fawaz", "Nadia", "" ], [ "Muthukrishnan", "S.", "" ], [ "Nikolov", "Aleksandar", "" ], [ "Taft", "Nina", "" ] ]
In monitoring applications, recent data is more important than distant data. How does this affect privacy of data analysis? We study a general class of data analyses - computing predicate sums - with privacy. Formally, we study the problem of estimating predicate sums {\em privately}, for sliding windows (and other wel...
2407.13490
Alexandre Bonlarron
Florian R\'egin, Elisabetta De Maria and Alexandre Bonlarron
Combining Constraint Programming Reasoning with Large Language Model Predictions
To appear at The 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Constraint Programming (CP) and Machine Learning (ML) face challenges in text generation due to CP's struggle with implementing "meaning'' and ML's difficulty with structural constraints. This paper proposes a solution by combining both approaches and embedding a Large Language Model (LLM) in CP. The LLM handles word...
[ { "created": "Thu, 18 Jul 2024 13:15:55 GMT", "version": "v1" } ]
2024-07-19
[ [ "Régin", "Florian", "" ], [ "De Maria", "Elisabetta", "" ], [ "Bonlarron", "Alexandre", "" ] ]
Constraint Programming (CP) and Machine Learning (ML) face challenges in text generation due to CP's struggle with implementing "meaning'' and ML's difficulty with structural constraints. This paper proposes a solution by combining both approaches and embedding a Large Language Model (LLM) in CP. The LLM handles word g...
1602.02698
Yehia Elkhatib PhD
Yehia Elkhatib
Defining Cross-Cloud Systems
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have seen an increasing number of cross-cloud architectures, i.e. systems that span across cloud provisioning boundaries. However, the cloud computing world still lacks any standards in terms of programming interfaces, which has a knock-on effect on the costs associated with interoperability and severely...
[ { "created": "Mon, 8 Feb 2016 19:13:32 GMT", "version": "v1" } ]
2016-02-09
[ [ "Elkhatib", "Yehia", "" ] ]
Recent years have seen an increasing number of cross-cloud architectures, i.e. systems that span across cloud provisioning boundaries. However, the cloud computing world still lacks any standards in terms of programming interfaces, which has a knock-on effect on the costs associated with interoperability and severely l...
2105.05517
Nicky Williams
Nicky Williams (LSL)
Towards exhaustive branch coverage with PathCrawler
null
2nd ACM/IEEE International Conference on Automation of Software Test AST 2021, May 2021, Madrid, Spain
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Branch coverage of source code is a very widely used test criterion. Moreover, branch coverage is a similar problem to line coverage, MC/DC and the coverage of assertion violations, certain runtime errors and various other types of test objective. Indeed, establishing that a large number of test objectives are unreac...
[ { "created": "Wed, 12 May 2021 08:55:13 GMT", "version": "v1" } ]
2021-05-13
[ [ "Williams", "Nicky", "", "LSL" ] ]
Branch coverage of source code is a very widely used test criterion. Moreover, branch coverage is a similar problem to line coverage, MC/DC and the coverage of assertion violations, certain runtime errors and various other types of test objective. Indeed, establishing that a large number of test objectives are unreacha...
2209.09729
Andr\'as Kov\'acs
Andr\'as Kov\'acs
Staged Compilation with Two-Level Type Theory
null
null
10.1145/3547641
null
cs.PL cs.LO
http://creativecommons.org/licenses/by/4.0/
The aim of staged compilation is to enable metaprogramming in a way such that we have guarantees about the well-formedness of code output, and we can also mix together object-level and meta-level code in a concise and convenient manner. In this work, we observe that two-level type theory (2LTT), a system originally d...
[ { "created": "Tue, 20 Sep 2022 14:00:15 GMT", "version": "v1" } ]
2022-09-21
[ [ "Kovács", "András", "" ] ]
The aim of staged compilation is to enable metaprogramming in a way such that we have guarantees about the well-formedness of code output, and we can also mix together object-level and meta-level code in a concise and convenient manner. In this work, we observe that two-level type theory (2LTT), a system originally dev...
2311.01279
Samie Mostafavi
Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan R\"onngren, Neelabhro Roy, Gourav Prateek Sharma, Sangwon Seo, Manuel Olgu\'in Mu\~noz, James Gross
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications
null
null
10.1145/3583740.3626819
null
cs.NI eess.SP
http://creativecommons.org/licenses/by/4.0/
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and high levels of experimental reproducibility. Leveraging OpenStack-based Chameleon Infrastructure (CHI) framework for its proven flexibility...
[ { "created": "Thu, 2 Nov 2023 14:50:01 GMT", "version": "v1" } ]
2023-11-03
[ [ "Mostafavi", "Samie", "" ], [ "Moothedath", "Vishnu Narayanan", "" ], [ "Rönngren", "Stefan", "" ], [ "Roy", "Neelabhro", "" ], [ "Sharma", "Gourav Prateek", "" ], [ "Seo", "Sangwon", "" ], [ "Muñoz", "Manuel O...
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and high levels of experimental reproducibility. Leveraging OpenStack-based Chameleon Infrastructure (CHI) framework for its proven flexibility a...
2103.11520
Gabriel Bertocco
Gabriel Bertocco and Fernanda Andal\'o and Anderson Rocha
Unsupervised and self-adaptative techniques for cross-domain person re-identification
Published on IEEE Transactions on Information Forensics and Security
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Person Re-Identification (ReID) across non-overlapping cameras is a challenging task and, for this reason, most works in the prior art rely on supervised feature learning from a labeled dataset to match the same person in different views. However, it demands the time-consuming task of labeling the acquired data, proh...
[ { "created": "Sun, 21 Mar 2021 23:58:39 GMT", "version": "v1" }, { "created": "Fri, 26 Mar 2021 18:22:33 GMT", "version": "v2" }, { "created": "Mon, 7 Feb 2022 13:29:38 GMT", "version": "v3" } ]
2022-02-08
[ [ "Bertocco", "Gabriel", "" ], [ "Andaló", "Fernanda", "" ], [ "Rocha", "Anderson", "" ] ]
Person Re-Identification (ReID) across non-overlapping cameras is a challenging task and, for this reason, most works in the prior art rely on supervised feature learning from a labeled dataset to match the same person in different views. However, it demands the time-consuming task of labeling the acquired data, prohib...
1107.5743
Siddhartha Jonnalagadda
Siddhartha Jonnalagadda, Philip Topham
NEMO: Extraction and normalization of organization names from PubMed affiliation strings
null
Siddhartha Jonnalagadda, Philip Topham. NEMO: Extraction and normalization of organization names from PubMed affiliation strings. Journal of Biomedical Discovery and Collaboration, 2010 Oct 4;5:50-75
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose NEMO, a system for extracting organization names in the affiliation and normalizing them to a canonical organization name. Our parsing process involves multi-layered rule matching with multiple dictionaries. The system achieves more than 98% f-score in extracting organization names. Our process of normaliz...
[ { "created": "Thu, 28 Jul 2011 15:37:56 GMT", "version": "v1" } ]
2011-07-29
[ [ "Jonnalagadda", "Siddhartha", "" ], [ "Topham", "Philip", "" ] ]
We propose NEMO, a system for extracting organization names in the affiliation and normalizing them to a canonical organization name. Our parsing process involves multi-layered rule matching with multiple dictionaries. The system achieves more than 98% f-score in extracting organization names. Our process of normalizat...
1807.01079
Anna Latour
Anna L.D. Latour, Behrouz Babaki, Siegfried Nijssen
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams
Eighth International Workshop on Statistical Relational AI, in conjunction with the 2018 International Joint Conference on Artificial Intelligence (IJCAI 2018)
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
A number of problems in relational Artificial Intelligence can be viewed as Stochastic Constraint Optimization Problems (SCOPs). These are constraint optimization problems that involve objectives or constraints with a stochastic component. Building on the recently proposed language SC-ProbLog for modeling SCOPs, we p...
[ { "created": "Tue, 3 Jul 2018 10:58:38 GMT", "version": "v1" } ]
2018-07-04
[ [ "Latour", "Anna L. D.", "" ], [ "Babaki", "Behrouz", "" ], [ "Nijssen", "Siegfried", "" ] ]
A number of problems in relational Artificial Intelligence can be viewed as Stochastic Constraint Optimization Problems (SCOPs). These are constraint optimization problems that involve objectives or constraints with a stochastic component. Building on the recently proposed language SC-ProbLog for modeling SCOPs, we pro...
1711.00913
Mohit Dubey
Mohit Dubey, Garrett Kenyon, Nils Carlson, Austin Thresher
Does Phase Matter For Monaural Source Separation?
4 pages, 2 figures, NIPS format
null
null
null
cs.SD cs.NE eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The "cocktail party" problem of fully separating multiple sources from a single channel audio waveform remains unsolved. Current biological understanding of neural encoding suggests that phase information is preserved and utilized at every stage of the auditory pathway. However, current computational approaches prima...
[ { "created": "Thu, 2 Nov 2017 20:10:00 GMT", "version": "v1" } ]
2017-11-06
[ [ "Dubey", "Mohit", "" ], [ "Kenyon", "Garrett", "" ], [ "Carlson", "Nils", "" ], [ "Thresher", "Austin", "" ] ]
The "cocktail party" problem of fully separating multiple sources from a single channel audio waveform remains unsolved. Current biological understanding of neural encoding suggests that phase information is preserved and utilized at every stage of the auditory pathway. However, current computational approaches primari...
2401.02180
Ivo Sbalzarini
Johannes Pahlke, Ivo F. Sbalzarini
Proven Distributed Memory Parallelization of Particle Methods
40 pages, 4 figures
null
null
null
cs.DC cs.DS cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
We provide a mathematically proven parallelization scheme for particle methods on distributed-memory computer systems. Particle methods are a versatile and widely used class of algorithms for computer simulations and numerical predictions in various applications, ranging from continuum fluid dynamics and granular flo...
[ { "created": "Thu, 4 Jan 2024 10:22:26 GMT", "version": "v1" } ]
2024-01-05
[ [ "Pahlke", "Johannes", "" ], [ "Sbalzarini", "Ivo F.", "" ] ]
We provide a mathematically proven parallelization scheme for particle methods on distributed-memory computer systems. Particle methods are a versatile and widely used class of algorithms for computer simulations and numerical predictions in various applications, ranging from continuum fluid dynamics and granular flows...
1008.1043
Sergiy Vorobyov A.
Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, John Thompson, Sergiy A. Vorobyov, Xiaohu Ge, Hailin Xiao, and Feng Zhao
Aggregate Interference Modeling in Cognitive Radio Networks with Power and Contention Control
24 pages, 8 figures, submitted to IEEE Trans. Communications in July 2010
Z. Chen, C.-X. Wang, S.A. Vorobyov, and et al, "Aggregate interference modeling in cognitive radio networks with power and contention control," IEEE Trans. Communications, vol. 60, no. 2, pp. 456-468, Feb. 2012
10.1109/TCOMM.2011.012012.100426
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present an interference model for cognitive radio (CR) networks employing power control, contention control or hybrid power/contention control schemes. For the first case, a power control scheme is proposed to govern the transmission power of a CR node. For the second one, a contention control schem...
[ { "created": "Thu, 5 Aug 2010 19:20:21 GMT", "version": "v1" } ]
2016-11-17
[ [ "Chen", "Zengmao", "" ], [ "Wang", "Cheng-Xiang", "" ], [ "Hong", "Xuemin", "" ], [ "Thompson", "John", "" ], [ "Vorobyov", "Sergiy A.", "" ], [ "Ge", "Xiaohu", "" ], [ "Xiao", "Hailin", "" ], [ "Zh...
In this paper, we present an interference model for cognitive radio (CR) networks employing power control, contention control or hybrid power/contention control schemes. For the first case, a power control scheme is proposed to govern the transmission power of a CR node. For the second one, a contention control scheme ...
2210.01987
Artem Vysogorets
Dhrupad Bhardwaj, Julia Kempe, Artem Vysogorets, Angela M. Teng, and Evaristus C. Ezekwem
ImpressLearn: Continual Learning via Combined Task Impressions
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
This work proposes a new method to sequentially train deep neural networks on multiple tasks without suffering catastrophic forgetting, while endowing it with the capability to quickly adapt to unseen tasks. Starting from existing work on network masking (Wortsman et al., 2020), we show that simply learning a linear ...
[ { "created": "Wed, 5 Oct 2022 02:28:25 GMT", "version": "v1" }, { "created": "Tue, 31 Jan 2023 19:52:37 GMT", "version": "v2" } ]
2023-02-02
[ [ "Bhardwaj", "Dhrupad", "" ], [ "Kempe", "Julia", "" ], [ "Vysogorets", "Artem", "" ], [ "Teng", "Angela M.", "" ], [ "Ezekwem", "Evaristus C.", "" ] ]
This work proposes a new method to sequentially train deep neural networks on multiple tasks without suffering catastrophic forgetting, while endowing it with the capability to quickly adapt to unseen tasks. Starting from existing work on network masking (Wortsman et al., 2020), we show that simply learning a linear co...
1811.11660
Michiel de Bondt
Michiel de Bondt
A short and elegant proof of a theorem of J.-E. Pin
11 pages, major update with new proof
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a short proof of a theorem of J.-E. Pin (theorem 1.1 below), which can be found in his thesis. The part of the proof which is my own (not Pin's) is a complete replacement of the same part in an earlier version of this paper.
[ { "created": "Wed, 28 Nov 2018 16:36:15 GMT", "version": "v1" }, { "created": "Wed, 14 Sep 2022 11:52:28 GMT", "version": "v2" }, { "created": "Thu, 15 Sep 2022 11:44:46 GMT", "version": "v3" } ]
2022-09-16
[ [ "de Bondt", "Michiel", "" ] ]
We give a short proof of a theorem of J.-E. Pin (theorem 1.1 below), which can be found in his thesis. The part of the proof which is my own (not Pin's) is a complete replacement of the same part in an earlier version of this paper.
2407.05246
Yuxuan Yan
Yuxuan Yan, Na Lu, Ruofan Yan
Deep Online Probability Aggregation Clustering
19 pages,2 figures, conference
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Combining machine clustering with deep models has shown remarkable superiority in deep clustering. It modifies the data processing pipeline into two alternating phases: feature clustering and model training. However, such alternating schedule may lead to instability and computational burden issues. We propose a cente...
[ { "created": "Sun, 7 Jul 2024 03:31:00 GMT", "version": "v1" }, { "created": "Sat, 13 Jul 2024 06:58:10 GMT", "version": "v2" } ]
2024-07-16
[ [ "Yan", "Yuxuan", "" ], [ "Lu", "Na", "" ], [ "Yan", "Ruofan", "" ] ]
Combining machine clustering with deep models has shown remarkable superiority in deep clustering. It modifies the data processing pipeline into two alternating phases: feature clustering and model training. However, such alternating schedule may lead to instability and computational burden issues. We propose a centerl...
1811.12240
Geoffrey Goodell
Geoff Goodell and Tomaso Aste
Can Cryptocurrencies Preserve Privacy and Comply with Regulations?
20 pages, 10 figures, 3 tables
null
10.3389/fbloc.2019.00004
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cryptocurrencies offer an alternative to traditional methods of electronic value exchange, promising anonymous, cash-like electronic transfers, but in practice they fall short for several key reasons. We consider the false choice between total surveillance, as represented by banking as currently implemented by instit...
[ { "created": "Thu, 29 Nov 2018 15:21:07 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2019 16:34:47 GMT", "version": "v2" }, { "created": "Tue, 7 May 2019 13:56:05 GMT", "version": "v3" } ]
2019-06-05
[ [ "Goodell", "Geoff", "" ], [ "Aste", "Tomaso", "" ] ]
Cryptocurrencies offer an alternative to traditional methods of electronic value exchange, promising anonymous, cash-like electronic transfers, but in practice they fall short for several key reasons. We consider the false choice between total surveillance, as represented by banking as currently implemented by institut...
1711.02026
Arman Shojaeifard
Arman Shojaeifard, Kai-Kit Wong, Wei Yu, Gan Zheng, Jie Tang
Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Full-duplex (FD) has emerged as a disruptive communications paradigm for enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs in self-interference (SI) mitigation. The FD versus half-duplex (HD) SE gain, in cellular networks, is however largely limited by the mutual-interference...
[ { "created": "Mon, 6 Nov 2017 17:32:13 GMT", "version": "v1" } ]
2017-11-07
[ [ "Shojaeifard", "Arman", "" ], [ "Wong", "Kai-Kit", "" ], [ "Yu", "Wei", "" ], [ "Zheng", "Gan", "" ], [ "Tang", "Jie", "" ] ]
Full-duplex (FD) has emerged as a disruptive communications paradigm for enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs in self-interference (SI) mitigation. The FD versus half-duplex (HD) SE gain, in cellular networks, is however largely limited by the mutual-interference (...
2209.04053
Thomas Steinke
Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Thomas Steinke
Algorithms with More Granular Differential Privacy Guarantees
null
null
null
null
cs.CR cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differential privacy is often applied with a privacy parameter that is larger than the theory suggests is ideal; various informal justifications for tolerating large privacy parameters have been proposed. In this work, we consider partial differential privacy (DP), which allows quantifying the privacy guarantee on a ...
[ { "created": "Thu, 8 Sep 2022 22:43:50 GMT", "version": "v1" } ]
2022-09-12
[ [ "Ghazi", "Badih", "" ], [ "Kumar", "Ravi", "" ], [ "Manurangsi", "Pasin", "" ], [ "Steinke", "Thomas", "" ] ]
Differential privacy is often applied with a privacy parameter that is larger than the theory suggests is ideal; various informal justifications for tolerating large privacy parameters have been proposed. In this work, we consider partial differential privacy (DP), which allows quantifying the privacy guarantee on a pe...
2105.07856
Edward Simmons
Edward Simmons
Correlations Between Learning Environments and Dropout Intention
null
null
10.13140/RG.2.2.28550.50245
null
cs.CY math.ST stat.TH
http://creativecommons.org/licenses/by/4.0/
This research is comparing learning environments to students dropout intentions. While using statistics I looked at data and the correlations between two articles to see how the two studies looked side to side. Learning environments and dropout intentions can both have vary effects on students. They can both determin...
[ { "created": "Fri, 7 May 2021 10:08:47 GMT", "version": "v1" } ]
2021-06-01
[ [ "Simmons", "Edward", "" ] ]
This research is comparing learning environments to students dropout intentions. While using statistics I looked at data and the correlations between two articles to see how the two studies looked side to side. Learning environments and dropout intentions can both have vary effects on students. They can both determine ...
2107.12679
Mingbo Zhao
Wenlong Cheng and Mingbo Zhao and Zhiling Ye and Shuhang Gu
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
null
null
null
null
cs.AR cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Generative adversarial networks (GANs) have promoted remarkable advances in single-image super-resolution (SR) by recovering photo-realistic images. However, high memory consumption of GAN-based SR (usually generators) causes performance degradation and more energy consumption, hindering the deployment of GAN-based S...
[ { "created": "Tue, 27 Jul 2021 09:04:30 GMT", "version": "v1" } ]
2021-07-28
[ [ "Cheng", "Wenlong", "" ], [ "Zhao", "Mingbo", "" ], [ "Ye", "Zhiling", "" ], [ "Gu", "Shuhang", "" ] ]
Generative adversarial networks (GANs) have promoted remarkable advances in single-image super-resolution (SR) by recovering photo-realistic images. However, high memory consumption of GAN-based SR (usually generators) causes performance degradation and more energy consumption, hindering the deployment of GAN-based SR ...
2102.07886
Johannes Sedlmeir
Johannes Sedlmeir and Hans Ulrich Buhl and Gilbert Fridgen and Robert Keller
Recent Developments in Blockchain Technology and their Impact on Energy Consumption
This is a translated version of a German article published in Informatik Spektrum
null
10.1007/s00287-020-01321-z
null
cs.CR cs.DC
http://creativecommons.org/licenses/by/4.0/
The enormous power consumption of Bitcoin has led to undifferentiated discussions in science and practice about the sustainability of blockchain and distributed ledger technology in general. However, blockchain technology is far from homogeneous - not only with regard to its applications, which now go far beyond cryp...
[ { "created": "Mon, 15 Feb 2021 22:55:30 GMT", "version": "v1" } ]
2021-02-17
[ [ "Sedlmeir", "Johannes", "" ], [ "Buhl", "Hans Ulrich", "" ], [ "Fridgen", "Gilbert", "" ], [ "Keller", "Robert", "" ] ]
The enormous power consumption of Bitcoin has led to undifferentiated discussions in science and practice about the sustainability of blockchain and distributed ledger technology in general. However, blockchain technology is far from homogeneous - not only with regard to its applications, which now go far beyond crypto...
1603.09012
Laleh Jalali
Laleh Jalali and Ramesh Jain
A framework for event co-occurrence detection in event streams
null
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper shows that characterizing co-occurrence between events is an important but non-trivial and neglected aspect of discovering potential causal relationships in multimedia event streams. First an introduction to the notion of event co-occurrence and its relation to co-occurrence pattern detection is given. The...
[ { "created": "Wed, 30 Mar 2016 01:16:37 GMT", "version": "v1" } ]
2016-03-31
[ [ "Jalali", "Laleh", "" ], [ "Jain", "Ramesh", "" ] ]
This paper shows that characterizing co-occurrence between events is an important but non-trivial and neglected aspect of discovering potential causal relationships in multimedia event streams. First an introduction to the notion of event co-occurrence and its relation to co-occurrence pattern detection is given. Then ...
2408.05476
Jonas Oppenlaender
Jonas Oppenlaender, Hannah Johnston, Johanna Silvennoinen, Helena Barranha
Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting
16 pages, 5 figures, 2 tables
null
null
null
cs.HC cs.AI cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image generation using generative artificial intelligence is a popular activity. However, it is almost exclusively performed in the privacy of an individual's home via typing on a keyboard. In this article, we explore body prompting as input for image generation. Body prompting extends interaction with generative AI ...
[ { "created": "Sat, 10 Aug 2024 08:05:59 GMT", "version": "v1" } ]
2024-08-13
[ [ "Oppenlaender", "Jonas", "" ], [ "Johnston", "Hannah", "" ], [ "Silvennoinen", "Johanna", "" ], [ "Barranha", "Helena", "" ] ]
Image generation using generative artificial intelligence is a popular activity. However, it is almost exclusively performed in the privacy of an individual's home via typing on a keyboard. In this article, we explore body prompting as input for image generation. Body prompting extends interaction with generative AI be...
2201.12590
Christopher Bl\"ocker
Christopher Bl\"ocker, Juan Carlos Nieves, Martin Rosvall
Map Equation Centrality: Community-aware Centrality based on the Map Equation
null
Appl Netw Sci 7, 56 (2022)
10.1007/s41109-022-00477-9
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To measure node importance, network scientists employ centrality scores that typically take a microscopic or macroscopic perspective, relying on node features or global network structure. However, traditional centrality measures such as degree centrality, betweenness centrality, or PageRank neglect the community stru...
[ { "created": "Sat, 29 Jan 2022 13:47:27 GMT", "version": "v1" }, { "created": "Wed, 17 Aug 2022 07:26:00 GMT", "version": "v2" } ]
2022-08-18
[ [ "Blöcker", "Christopher", "" ], [ "Nieves", "Juan Carlos", "" ], [ "Rosvall", "Martin", "" ] ]
To measure node importance, network scientists employ centrality scores that typically take a microscopic or macroscopic perspective, relying on node features or global network structure. However, traditional centrality measures such as degree centrality, betweenness centrality, or PageRank neglect the community struct...
1603.05739
Elliot Schumacher
Elliot Schumacher, Maxine Eskenazi
A Readability Analysis of Campaign Speeches from the 2016 US Presidential Campaign
null
null
null
CMU-LTI-16-001
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Readability is defined as the reading level of the speech from grade 1 to grade 12. It results from the use of the REAP readability analysis (vocabulary - Collins-Thompson and Callan, 2004; syntax - Heilman et al ,2006, 2007), which use the lexical contents and grammatical structure of the sentences in a document to ...
[ { "created": "Fri, 18 Mar 2016 00:55:52 GMT", "version": "v1" } ]
2016-03-21
[ [ "Schumacher", "Elliot", "" ], [ "Eskenazi", "Maxine", "" ] ]
Readability is defined as the reading level of the speech from grade 1 to grade 12. It results from the use of the REAP readability analysis (vocabulary - Collins-Thompson and Callan, 2004; syntax - Heilman et al ,2006, 2007), which use the lexical contents and grammatical structure of the sentences in a document to pr...
2305.15055
Mayank Singh
Mayank Kumar Singh, Naoya Takahashi, Onoe Naoyuki
Iteratively Improving Speech Recognition and Voice Conversion
null
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many existing works on voice conversion (VC) tasks use automatic speech recognition (ASR) models for ensuring linguistic consistency between source and converted samples. However, for the low-data resource domains, training a high-quality ASR remains to be a challenging task. In this work, we propose a novel iterativ...
[ { "created": "Wed, 24 May 2023 11:45:42 GMT", "version": "v1" } ]
2023-05-25
[ [ "Singh", "Mayank Kumar", "" ], [ "Takahashi", "Naoya", "" ], [ "Naoyuki", "Onoe", "" ] ]
Many existing works on voice conversion (VC) tasks use automatic speech recognition (ASR) models for ensuring linguistic consistency between source and converted samples. However, for the low-data resource domains, training a high-quality ASR remains to be a challenging task. In this work, we propose a novel iterative ...
2403.14292
Saad Noufel
Saad Noufel, Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya
HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Inpainting, for filling missing image regions, is a crucial task in various applications, such as medical imaging and remote sensing. Trending data-driven approaches efficiency, for image inpainting, often requires extensive data preprocessing. In this sense, there is still a need for model-driven approaches in case ...
[ { "created": "Thu, 21 Mar 2024 10:59:44 GMT", "version": "v1" } ]
2024-03-22
[ [ "Noufel", "Saad", "" ], [ "Maaroufi", "Nadir", "" ], [ "Najib", "Mehdi", "" ], [ "Bakhouya", "Mohamed", "" ] ]
Inpainting, for filling missing image regions, is a crucial task in various applications, such as medical imaging and remote sensing. Trending data-driven approaches efficiency, for image inpainting, often requires extensive data preprocessing. In this sense, there is still a need for model-driven approaches in case of...
1502.01877
Helio M. de Oliveira
H.M. de Oliveira and T.H. Falk
On Wavelet Decomposition over Finite Fields
4 pages, 1 figure. conference: XIX Simposio Brasileiro de Telecomunicacoes, 2001, Fortaleza, CE, Brazil
null
null
null
cs.IT math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces some foundations of wavelets over Galois fields. Standard orthogonal finite-field wavelets (FF-Wavelets) including FF-Haar and FF-Daubechies are derived. Non-orthogonal FF-wavelets such as B-spline over GF(p) are also considered. A few examples of multiresolution analysis over Finite fields are ...
[ { "created": "Fri, 6 Feb 2015 13:09:24 GMT", "version": "v1" } ]
2020-06-01
[ [ "de Oliveira", "H. M.", "" ], [ "Falk", "T. H.", "" ] ]
This paper introduces some foundations of wavelets over Galois fields. Standard orthogonal finite-field wavelets (FF-Wavelets) including FF-Haar and FF-Daubechies are derived. Non-orthogonal FF-wavelets such as B-spline over GF(p) are also considered. A few examples of multiresolution analysis over Finite fields are pr...
2304.11354
YuanFu Yang
Yuan-Fu Yang, Iuan-Kai Fang, Min Sun, Su-Chu Hsu
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
Keywords: SARS-CoV-2; Generative Art; Graph Neural Network. arXiv admin note: text overlap with arXiv:1706.07068 by other authors
null
null
null
cs.CV cs.GR
http://creativecommons.org/licenses/by/4.0/
Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similari...
[ { "created": "Sat, 22 Apr 2023 09:27:47 GMT", "version": "v1" } ]
2023-04-25
[ [ "Yang", "Yuan-Fu", "" ], [ "Fang", "Iuan-Kai", "" ], [ "Sun", "Min", "" ], [ "Hsu", "Su-Chu", "" ] ]
Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similariti...
1806.04584
Chujie Wang
Chujie Wang, Zhifeng Zhao, Qi Sun, Honggang Zhang
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network
5 pages, 9 figures, conference
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultra-dense network deployment has been proposed as a key technique for achieving capacity goals in the fifth-generation (5G) mobile communication system. However, the deployment of smaller cells inevitably leads to more frequent handovers, thus making mobility management more challenging and reducing the capacity ga...
[ { "created": "Wed, 30 May 2018 07:59:12 GMT", "version": "v1" } ]
2018-06-13
[ [ "Wang", "Chujie", "" ], [ "Zhao", "Zhifeng", "" ], [ "Sun", "Qi", "" ], [ "Zhang", "Honggang", "" ] ]
Ultra-dense network deployment has been proposed as a key technique for achieving capacity goals in the fifth-generation (5G) mobile communication system. However, the deployment of smaller cells inevitably leads to more frequent handovers, thus making mobility management more challenging and reducing the capacity gain...
2209.01386
Chao Zhang
Chao Zhang, Zijian Tang, Taoming Guo, Jiaxin Lei, Jiaxin Xiao, Anhe Wang, Shuo Bai, Milin Zhang
SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG
5 pages, 4 figures, to be published in IEEE International Symposium on Circuits and Systems (ISCAS) 2022
null
null
null
cs.AR cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG). A bias-driven pruning method is proposed together with group convolution, global average pooling (GAP), near-zero pruning, weight clustering and quantiza...
[ { "created": "Sat, 3 Sep 2022 09:49:37 GMT", "version": "v1" } ]
2022-09-07
[ [ "Zhang", "Chao", "" ], [ "Tang", "Zijian", "" ], [ "Guo", "Taoming", "" ], [ "Lei", "Jiaxin", "" ], [ "Xiao", "Jiaxin", "" ], [ "Wang", "Anhe", "" ], [ "Bai", "Shuo", "" ], [ "Zhang", "Milin", ...
This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG). A bias-driven pruning method is proposed together with group convolution, global average pooling (GAP), near-zero pruning, weight clustering and quantizati...
1906.00189
Tongliang Liu
Xiaobo Xia and Tongliang Liu and Nannan Wang and Bo Han and Chen Gong and Gang Niu and Masashi Sugiyama
Are Anchor Points Really Indispensable in Label-Noise Learning?
Accepted by NeurIPS 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In label-noise learning, \textit{noise transition matrix}, denoting the probabilities that clean labels flip into noisy labels, plays a central role in building \textit{statistically consistent classifiers}. Existing theories have shown that the transition matrix can be learned by exploiting \textit{anchor points} (i...
[ { "created": "Sat, 1 Jun 2019 09:14:54 GMT", "version": "v1" }, { "created": "Tue, 17 Dec 2019 02:23:29 GMT", "version": "v2" } ]
2019-12-18
[ [ "Xia", "Xiaobo", "" ], [ "Liu", "Tongliang", "" ], [ "Wang", "Nannan", "" ], [ "Han", "Bo", "" ], [ "Gong", "Chen", "" ], [ "Niu", "Gang", "" ], [ "Sugiyama", "Masashi", "" ] ]
In label-noise learning, \textit{noise transition matrix}, denoting the probabilities that clean labels flip into noisy labels, plays a central role in building \textit{statistically consistent classifiers}. Existing theories have shown that the transition matrix can be learned by exploiting \textit{anchor points} (i.e...
2010.13816
Maarten Sap
Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
EMNLP 2020
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unconscious biases continue to be prevalent in modern text and media, calling for algorithms that can assist writers with bias correction. For example, a female character in a story is often portrayed as passive and powerless ("She daydreams about being a doctor") while a man is portrayed as more proactive and powerf...
[ { "created": "Mon, 26 Oct 2020 18:05:48 GMT", "version": "v1" } ]
2020-10-28
[ [ "Ma", "Xinyao", "" ], [ "Sap", "Maarten", "" ], [ "Rashkin", "Hannah", "" ], [ "Choi", "Yejin", "" ] ]
Unconscious biases continue to be prevalent in modern text and media, calling for algorithms that can assist writers with bias correction. For example, a female character in a story is often portrayed as passive and powerless ("She daydreams about being a doctor") while a man is portrayed as more proactive and powerful...
1703.05446
Ke Gong
Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Accepted to appear in CVPR 2017
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human parsing has recently attracted a lot of research interests due to its huge application potentials. However existing datasets have limited number of images and annotations, and lack the variety of human appearances and the coverage of challenging cases in unconstrained environment. In this paper, we introduce a ...
[ { "created": "Thu, 16 Mar 2017 01:14:36 GMT", "version": "v1" }, { "created": "Fri, 28 Jul 2017 01:41:39 GMT", "version": "v2" } ]
2017-07-31
[ [ "Gong", "Ke", "" ], [ "Liang", "Xiaodan", "" ], [ "Zhang", "Dongyu", "" ], [ "Shen", "Xiaohui", "" ], [ "Lin", "Liang", "" ] ]
Human parsing has recently attracted a lot of research interests due to its huge application potentials. However existing datasets have limited number of images and annotations, and lack the variety of human appearances and the coverage of challenging cases in unconstrained environment. In this paper, we introduce a ne...
1110.2849
Karthick Jayaraman
Karthick Jayaraman, Vijay Ganesh, Mahesh Tripunitara, Martin C Rinard, Steve J. Chapin
ARBAC Policy for a Large Multi-National Bank
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Administrative role-based access control (ARBAC) is the first comprehensive administrative model proposed for role-based access control (RBAC). ARBAC has several features for designing highly expressive policies, but current work has not highlighted the utility of these expressive policies. In this report, we present...
[ { "created": "Thu, 13 Oct 2011 07:13:11 GMT", "version": "v1" } ]
2011-10-14
[ [ "Jayaraman", "Karthick", "" ], [ "Ganesh", "Vijay", "" ], [ "Tripunitara", "Mahesh", "" ], [ "Rinard", "Martin C", "" ], [ "Chapin", "Steve J.", "" ] ]
Administrative role-based access control (ARBAC) is the first comprehensive administrative model proposed for role-based access control (RBAC). ARBAC has several features for designing highly expressive policies, but current work has not highlighted the utility of these expressive policies. In this report, we present a...
2301.03094
Jonas Witt
Jonas Witt, Stef Rasing, Sebastijan Duman\v{c}i\'c, Tias Guns and Claus-Christian Carbon
A Divide-Align-Conquer Strategy for Program Synthesis
11 pages, 9 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major bottleneck in search-based program synthesis is the exponentially growing search space which makes learning large programs intractable. Humans mitigate this problem by leveraging the compositional nature of the real world: In structured domains, a logical specification can often be decomposed into smaller, co...
[ { "created": "Sun, 8 Jan 2023 19:10:55 GMT", "version": "v1" } ]
2023-01-10
[ [ "Witt", "Jonas", "" ], [ "Rasing", "Stef", "" ], [ "Dumančić", "Sebastijan", "" ], [ "Guns", "Tias", "" ], [ "Carbon", "Claus-Christian", "" ] ]
A major bottleneck in search-based program synthesis is the exponentially growing search space which makes learning large programs intractable. Humans mitigate this problem by leveraging the compositional nature of the real world: In structured domains, a logical specification can often be decomposed into smaller, comp...
cs/0212044
Sandor P. Fekete
Sandor P. Fekete, Henk Meijer, Andre Rohe, and Walter Tietze
Solving a "Hard" Problem to Approximate an "Easy" One: Heuristics for Maximum Matchings and Maximum Traveling Salesman Problems
20 pages, 14 figures, Latex, to appear in Journal of Experimental Algorithms, 2002
Journal of Experimental Algorithms, 7 (2002), article 11.
null
null
cs.DS
null
We consider geometric instances of the Maximum Weighted Matching Problem (MWMP) and the Maximum Traveling Salesman Problem (MTSP) with up to 3,000,000 vertices. Making use of a geometric duality relationship between MWMP, MTSP, and the Fermat-Weber-Problem (FWP), we develop a heuristic approach that yields in near-li...
[ { "created": "Mon, 16 Dec 2002 09:39:16 GMT", "version": "v1" } ]
2007-05-23
[ [ "Fekete", "Sandor P.", "" ], [ "Meijer", "Henk", "" ], [ "Rohe", "Andre", "" ], [ "Tietze", "Walter", "" ] ]
We consider geometric instances of the Maximum Weighted Matching Problem (MWMP) and the Maximum Traveling Salesman Problem (MTSP) with up to 3,000,000 vertices. Making use of a geometric duality relationship between MWMP, MTSP, and the Fermat-Weber-Problem (FWP), we develop a heuristic approach that yields in near-line...
1508.07504
Joseph Cheriyan
Joe Cheriyan, Zhihan Gao
Approximating (Unweighted) Tree Augmentation via Lift-and-Project, Part I: Stemless TAP
24 pages, 11 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Part I, we study a special case of the unweighted Tree Augmentation Problem (TAP) via the Lasserre (Sum of Squares) system. In the special case, we forbid so-called stems; these are a particular type of subtree configuration. For stemless TAP, we prove that the integrality ratio of an SDP relaxation (the Lasserre ...
[ { "created": "Sat, 29 Aug 2015 20:48:09 GMT", "version": "v1" } ]
2015-09-01
[ [ "Cheriyan", "Joe", "" ], [ "Gao", "Zhihan", "" ] ]
In Part I, we study a special case of the unweighted Tree Augmentation Problem (TAP) via the Lasserre (Sum of Squares) system. In the special case, we forbid so-called stems; these are a particular type of subtree configuration. For stemless TAP, we prove that the integrality ratio of an SDP relaxation (the Lasserre ti...
1908.00485
Zhun Zhong
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li and Yi Yang
Learning to Adapt Invariance in Memory for Person Re-identification
Extension of conference version: arXiv:1904.01990
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work considers the problem of unsupervised domain adaptation in person re-identification (re-ID), which aims to transfer knowledge from the source domain to the target domain. Existing methods are primary to reduce the inter-domain shift between the domains, which however usually overlook the relations among tar...
[ { "created": "Thu, 1 Aug 2019 16:20:16 GMT", "version": "v1" } ]
2019-08-02
[ [ "Zhong", "Zhun", "" ], [ "Zheng", "Liang", "" ], [ "Luo", "Zhiming", "" ], [ "Li", "Shaozi", "" ], [ "Yang", "Yi", "" ] ]
This work considers the problem of unsupervised domain adaptation in person re-identification (re-ID), which aims to transfer knowledge from the source domain to the target domain. Existing methods are primary to reduce the inter-domain shift between the domains, which however usually overlook the relations among targe...
2408.01962
Robert Wolfe
Robert Wolfe, Tanushree Mitra
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations
Accepted at Artificial Intelligence, Ethics, and Society 2024
null
null
null
cs.HC cs.AI cs.CL cs.CY cs.ET
http://creativecommons.org/licenses/by-nc-sa/4.0/
Calls to use open generative language models in academic research have highlighted the need for reproducibility and transparency in scientific research. However, the impact of generative AI extends well beyond academia, as corporations and public interest organizations have begun integrating these models into their d...
[ { "created": "Sun, 4 Aug 2024 08:41:48 GMT", "version": "v1" } ]
2024-08-06
[ [ "Wolfe", "Robert", "" ], [ "Mitra", "Tanushree", "" ] ]
Calls to use open generative language models in academic research have highlighted the need for reproducibility and transparency in scientific research. However, the impact of generative AI extends well beyond academia, as corporations and public interest organizations have begun integrating these models into their dat...
2311.03725
Arti Kumbhar
Arti Kumbhar, Amruta Chougule, Priya Lokhande, Saloni Navaghane, Aditi Burud, Saee Nimbalkar
DeepInspect: An AI-Powered Defect Detection for Manufacturing Industries
Research Paper for Defect Detection for Manufacturing Industries Using Deep Learning Techniques: 5 pages, 8 figures
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Utilizing Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), our system introduces an innovative approach to defect detection in manufacturing. This technology excels in precisely identifying faults by extracting intricate details from product photograp...
[ { "created": "Tue, 7 Nov 2023 04:59:43 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2023 07:45:58 GMT", "version": "v2" } ]
2023-11-09
[ [ "Kumbhar", "Arti", "" ], [ "Chougule", "Amruta", "" ], [ "Lokhande", "Priya", "" ], [ "Navaghane", "Saloni", "" ], [ "Burud", "Aditi", "" ], [ "Nimbalkar", "Saee", "" ] ]
Utilizing Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), our system introduces an innovative approach to defect detection in manufacturing. This technology excels in precisely identifying faults by extracting intricate details from product photographs...
2103.11297
Ryan Rossi
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Insight-centric Visualization Recommendation
null
null
null
null
cs.HC cs.AI cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating visualizations for users to explore. However, most existing visualization recommendation systems focus on ranking all visualizations into a...
[ { "created": "Sun, 21 Mar 2021 03:30:22 GMT", "version": "v1" } ]
2021-03-23
[ [ "Harris", "Camille", "" ], [ "Rossi", "Ryan A.", "" ], [ "Malik", "Sana", "" ], [ "Hoffswell", "Jane", "" ], [ "Du", "Fan", "" ], [ "Lee", "Tak Yeon", "" ], [ "Koh", "Eunyee", "" ], [ "Zhao", "H...
Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating visualizations for users to explore. However, most existing visualization recommendation systems focus on ranking all visualizations into a s...
2310.15624
Yan Lu
Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Tong He, Yonghui Li, Wanli Ouyang
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
18 pages, 9 figures
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Geometry plays a significant role in monocular 3D object detection. It can be used to estimate object depth by using the perspective projection between object's physical size and 2D projection in the image plane, which can introduce mathematical priors into deep models. However, this projection process also introduce...
[ { "created": "Tue, 24 Oct 2023 08:45:15 GMT", "version": "v1" } ]
2023-10-25
[ [ "Lu", "Yan", "" ], [ "Ma", "Xinzhu", "" ], [ "Yang", "Lei", "" ], [ "Zhang", "Tianzhu", "" ], [ "Liu", "Yating", "" ], [ "Chu", "Qi", "" ], [ "He", "Tong", "" ], [ "Li", "Yonghui", "" ], ...
Geometry plays a significant role in monocular 3D object detection. It can be used to estimate object depth by using the perspective projection between object's physical size and 2D projection in the image plane, which can introduce mathematical priors into deep models. However, this projection process also introduces ...
2105.10016
Xinyu Liu
Xinyu Liu, Qi Zhou, Joy Arulraj, and Alessandro Orso
Testing DBMS Performance with Mutations
null
null
null
null
cs.DB cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Because database systems are the critical component of modern data-intensive applications, it is important to ensure that they operate correctly. To this end, developers extensively test these systems to eliminate bugs that negatively affect functionality. In addition to functional bugs, however, there is another imp...
[ { "created": "Thu, 20 May 2021 20:18:43 GMT", "version": "v1" }, { "created": "Thu, 2 Sep 2021 01:49:11 GMT", "version": "v2" } ]
2021-09-03
[ [ "Liu", "Xinyu", "" ], [ "Zhou", "Qi", "" ], [ "Arulraj", "Joy", "" ], [ "Orso", "Alessandro", "" ] ]
Because database systems are the critical component of modern data-intensive applications, it is important to ensure that they operate correctly. To this end, developers extensively test these systems to eliminate bugs that negatively affect functionality. In addition to functional bugs, however, there is another impor...
2005.10801
Farhad Pakdaman
Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi
Complexity Analysis Of Next-Generation VVC Encoding and Decoding
IEEE ICIP 2020
Proceedings of International Conference on Image Processing (ICIP), (2020) 3134-3138
10.1109/ICIP40778.2020.9190983
null
cs.MM cs.CC eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compression efficiency, its computational complexity dramatically increases. This paper thoroughly analyzes this complexity for both encoder and decoder of VVC Test Model 6, by quantifying the complexity break-down...
[ { "created": "Thu, 21 May 2020 17:30:42 GMT", "version": "v1" } ]
2020-10-08
[ [ "Pakdaman", "Farhad", "" ], [ "Adelimanesh", "Mohammad Ali", "" ], [ "Gabbouj", "Moncef", "" ], [ "Hashemi", "Mahmoud Reza", "" ] ]
While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compression efficiency, its computational complexity dramatically increases. This paper thoroughly analyzes this complexity for both encoder and decoder of VVC Test Model 6, by quantifying the complexity break-down f...
2206.10025
Petra Wolf
Jonas Lingg, Mateus de Oliveira Oliveira, Petra Wolf
Learning from Positive and Negative Examples: New Proof for Binary Alphabets
null
null
null
null
cs.FL cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the most fundamental problems in computational learning theory is the the problem of learning a finite automaton $A$ consistent with a finite set $P$ of positive examples and with a finite set $N$ of negative examples. By consistency, we mean that $A$ accepts all strings in $P$ and rejects all strings in $N$. ...
[ { "created": "Mon, 20 Jun 2022 22:20:48 GMT", "version": "v1" } ]
2022-06-22
[ [ "Lingg", "Jonas", "" ], [ "Oliveira", "Mateus de Oliveira", "" ], [ "Wolf", "Petra", "" ] ]
One of the most fundamental problems in computational learning theory is the the problem of learning a finite automaton $A$ consistent with a finite set $P$ of positive examples and with a finite set $N$ of negative examples. By consistency, we mean that $A$ accepts all strings in $P$ and rejects all strings in $N$. It...
2102.12684
Wil Thomason
Claire Liang (1), Wil Thomason (2), E. Andy Ricci (1), and Soham Sankaran (1, 3) ((1) Cornell University Department of Computer Science, (2) Rice University Department of Computer Science, (3) Pashi Corp.)
Ensuring Progress for Multiple Mobile Robots via Space Partitioning, Motion Rules, and Adaptively Centralized Conflict Resolution
9 pages, 4 figures. Submitted to IROS 2021
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In environments where multiple robots must coordinate in a shared space, decentralized approaches allow for decoupled planning at the cost of global guarantees, while centralized approaches make the opposite trade-off. These solutions make a range of assumptions - commonly, that all the robots share the same planning...
[ { "created": "Thu, 25 Feb 2021 04:51:09 GMT", "version": "v1" }, { "created": "Mon, 7 Mar 2022 18:45:50 GMT", "version": "v2" } ]
2022-03-08
[ [ "Liang", "Claire", "" ], [ "Thomason", "Wil", "" ], [ "Ricci", "E. Andy", "" ], [ "Sankaran", "Soham", "" ] ]
In environments where multiple robots must coordinate in a shared space, decentralized approaches allow for decoupled planning at the cost of global guarantees, while centralized approaches make the opposite trade-off. These solutions make a range of assumptions - commonly, that all the robots share the same planning s...
1802.05666
Jonathan Uesato
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates recently proposed approaches for defending against adversarial examples and evaluating adversarial robustness. We motivate 'adversarial risk' as an objective for achieving models robust to worst-case inputs. We then frame commonly used attacks and evaluation metrics as defining a tractable sur...
[ { "created": "Thu, 15 Feb 2018 17:13:18 GMT", "version": "v1" }, { "created": "Tue, 12 Jun 2018 14:20:27 GMT", "version": "v2" } ]
2018-06-13
[ [ "Uesato", "Jonathan", "" ], [ "O'Donoghue", "Brendan", "" ], [ "Oord", "Aaron van den", "" ], [ "Kohli", "Pushmeet", "" ] ]
This paper investigates recently proposed approaches for defending against adversarial examples and evaluating adversarial robustness. We motivate 'adversarial risk' as an objective for achieving models robust to worst-case inputs. We then frame commonly used attacks and evaluation metrics as defining a tractable surro...
2210.15804
Gayathri Manikutty
Sreejith Sasidharan, Pranav Prabha, Devasena Pasupuleti, Anand M Das, Chaitanya Kapoor, Gayathri Manikutty, Praveen Pankajakshan, Bhavani Rao
Handwashing Action Detection System for an Autonomous Social Robot
null
null
10.1109/TENCON55691.2022.9977684
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Young children are at an increased risk of contracting contagious diseases such as COVID-19 due to improper hand hygiene. An autonomous social agent that observes children while handwashing and encourages good hand washing practices could provide an opportunity for handwashing behavior to become a habit. In this arti...
[ { "created": "Thu, 27 Oct 2022 23:46:56 GMT", "version": "v1" } ]
2023-06-21
[ [ "Sasidharan", "Sreejith", "" ], [ "Prabha", "Pranav", "" ], [ "Pasupuleti", "Devasena", "" ], [ "Das", "Anand M", "" ], [ "Kapoor", "Chaitanya", "" ], [ "Manikutty", "Gayathri", "" ], [ "Pankajakshan", "Praveen...
Young children are at an increased risk of contracting contagious diseases such as COVID-19 due to improper hand hygiene. An autonomous social agent that observes children while handwashing and encourages good hand washing practices could provide an opportunity for handwashing behavior to become a habit. In this articl...
2312.05594
Dong In Kim
Nguyen Van Huynh, Jiacheng Wang, Hongyang Du, Dinh Thai Hoang, Dusit Niyato, Diep N. Nguyen, Dong In Kim, and Khaled B. Letaief
Generative AI for Physical Layer Communications: A Survey
null
null
null
null
cs.NI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of digital content production, such as text, audio, video, or even network traffic data, but also enriches its diversity. Beyond digital conten...
[ { "created": "Sat, 9 Dec 2023 15:20:56 GMT", "version": "v1" } ]
2023-12-12
[ [ "Van Huynh", "Nguyen", "" ], [ "Wang", "Jiacheng", "" ], [ "Du", "Hongyang", "" ], [ "Hoang", "Dinh Thai", "" ], [ "Niyato", "Dusit", "" ], [ "Nguyen", "Diep N.", "" ], [ "Kim", "Dong In", "" ], [ "...
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of digital content production, such as text, audio, video, or even network traffic data, but also enriches its diversity. Beyond digital content ...
2307.00771
Ning Lin
Ning Lin, Shaocong Wang, Yi Li, Bo Wang, Shuhui Shi, Yangu He, Woyu Zhang, Yifei Yu, Yue Zhang, Xiaojuan Qi, Xiaoming Chen, Hao Jiang, Xumeng Zhang, Peng Lin, Xiaoxin Xu, Qi Liu, Zhongrui Wang, Dashan Shang and Ming Liu
Resistive memory-based zero-shot liquid state machine for multimodal event data learning
null
null
null
null
cs.ET
http://creativecommons.org/licenses/by-nc-sa/4.0/
The human brain is a complex spiking neural network (SNN) that learns multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves this with minimal power consumption, using event-based signals that propagate within its structure. However, mimicking the human brain in ne...
[ { "created": "Mon, 3 Jul 2023 06:21:05 GMT", "version": "v1" } ]
2023-07-04
[ [ "Lin", "Ning", "" ], [ "Wang", "Shaocong", "" ], [ "Li", "Yi", "" ], [ "Wang", "Bo", "" ], [ "Shi", "Shuhui", "" ], [ "He", "Yangu", "" ], [ "Zhang", "Woyu", "" ], [ "Yu", "Yifei", "" ], ...
The human brain is a complex spiking neural network (SNN) that learns multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves this with minimal power consumption, using event-based signals that propagate within its structure. However, mimicking the human brain in neur...
0812.1394
Sahbi Sidhom
Sahbi Sidhom (LORIA, Sii)
Conceptual approach through an annotation process for the representation and the information contents enhancement in economic intelligence (EI)
null
Journal of Global Management Research (2008) 15 pages
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the era of the information society, the impact of the information systems on the economy of material and immaterial is certainly perceptible. With regards to the information resources of an organization, the annotation involved to enrich informational content, to track the intellectual activities on a document and...
[ { "created": "Sun, 7 Dec 2008 20:07:37 GMT", "version": "v1" } ]
2008-12-10
[ [ "Sidhom", "Sahbi", "", "LORIA, Sii" ] ]
In the era of the information society, the impact of the information systems on the economy of material and immaterial is certainly perceptible. With regards to the information resources of an organization, the annotation involved to enrich informational content, to track the intellectual activities on a document and t...
1703.10772
Irshad Bhat
Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava and Dipti Misra Sharma
Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data
5 pages, EACL 2017 short paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose efficient and less resource-intensive strategies for parsing of code-mixed data. These strategies are not constrained by in-domain annotations, rather they leverage pre-existing monolingual annotated resources for training. We show that these methods can produce significantly better results ...
[ { "created": "Fri, 31 Mar 2017 07:10:30 GMT", "version": "v1" } ]
2017-04-03
[ [ "Bhat", "Irshad Ahmad", "" ], [ "Bhat", "Riyaz Ahmad", "" ], [ "Shrivastava", "Manish", "" ], [ "Sharma", "Dipti Misra", "" ] ]
In this paper, we propose efficient and less resource-intensive strategies for parsing of code-mixed data. These strategies are not constrained by in-domain annotations, rather they leverage pre-existing monolingual annotated resources for training. We show that these methods can produce significantly better results as...
2404.15194
Michal Nazarczuk
Michal Nazarczuk, Jan Kristof Behrens, Karla Stepanova, Matej Hoffmann, Krystian Mikolajczyk
Closed Loop Interactive Embodied Reasoning for Robot Manipulation
null
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Embodied reasoning systems integrate robotic hardware and cognitive processes to perform complex tasks typically in response to a natural language query about a specific physical environment. This usually involves changing the belief about the scene or physically interacting and changing the scene (e.g. 'Sort the obj...
[ { "created": "Tue, 23 Apr 2024 16:33:28 GMT", "version": "v1" } ]
2024-04-24
[ [ "Nazarczuk", "Michal", "" ], [ "Behrens", "Jan Kristof", "" ], [ "Stepanova", "Karla", "" ], [ "Hoffmann", "Matej", "" ], [ "Mikolajczyk", "Krystian", "" ] ]
Embodied reasoning systems integrate robotic hardware and cognitive processes to perform complex tasks typically in response to a natural language query about a specific physical environment. This usually involves changing the belief about the scene or physically interacting and changing the scene (e.g. 'Sort the objec...
2303.06644
Tian Wen
Yan Lei, Tiantian Wen, Huan Xie, Lingfeng Fu, Chunyan Liu, Lei Xu, Hongxia Sun
Mitigating the Effect of Class Imbalance in Fault Localization Using Context-aware Generative Adversarial Network
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fault localization (FL) analyzes the execution information of a test suite to pinpoint the root cause of a failure. The class imbalance of a test suite, i.e., the imbalanced class proportion between passing test cases (i.e., majority class) and failing ones (i.e., minority class), adversely affects FL effectiveness. ...
[ { "created": "Sun, 12 Mar 2023 12:26:52 GMT", "version": "v1" } ]
2023-03-14
[ [ "Lei", "Yan", "" ], [ "Wen", "Tiantian", "" ], [ "Xie", "Huan", "" ], [ "Fu", "Lingfeng", "" ], [ "Liu", "Chunyan", "" ], [ "Xu", "Lei", "" ], [ "Sun", "Hongxia", "" ] ]
Fault localization (FL) analyzes the execution information of a test suite to pinpoint the root cause of a failure. The class imbalance of a test suite, i.e., the imbalanced class proportion between passing test cases (i.e., majority class) and failing ones (i.e., minority class), adversely affects FL effectiveness. To...
1105.1824
Haris Aziz
Haris Aziz and Paul Harrenstein and Evangelia Pyrga
Individual-based stability in hedonic games depending on the best or worst players
16 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider coalition formation games in which each player has preferences over the other players and his preferences over coalitions are based on the best player ($\mathcal{B}$-/B-hedonic games) or the worst player ($\mathcal{W}$/W-hedonic games) in the coalition. We show that for $\mathcal{B}$-hedonic games, an ind...
[ { "created": "Mon, 9 May 2011 23:51:47 GMT", "version": "v1" }, { "created": "Sat, 3 Dec 2011 08:20:21 GMT", "version": "v2" } ]
2011-12-06
[ [ "Aziz", "Haris", "" ], [ "Harrenstein", "Paul", "" ], [ "Pyrga", "Evangelia", "" ] ]
We consider coalition formation games in which each player has preferences over the other players and his preferences over coalitions are based on the best player ($\mathcal{B}$-/B-hedonic games) or the worst player ($\mathcal{W}$/W-hedonic games) in the coalition. We show that for $\mathcal{B}$-hedonic games, an indiv...
cs/0408065
Somdeb Lahiri
Somdeb Lahiri
The Core of Directed Network Problems with Quotas
6 pages, 0 figures, source file: MS Word; definitions of the feasible allocations have been strengthened; examples provided; network obtained by the procedure can be decentralized
null
null
null
cs.GT
null
This paper proves the existence of non-empty cores for directed network problems with quotas and for those combinatorial allocation problems which permit only exclusive allocations.
[ { "created": "Sat, 28 Aug 2004 10:12:17 GMT", "version": "v1" }, { "created": "Thu, 2 Sep 2004 11:18:12 GMT", "version": "v2" }, { "created": "Mon, 6 Sep 2004 11:05:37 GMT", "version": "v3" }, { "created": "Tue, 7 Sep 2004 09:37:08 GMT", "version": "v4" }, { "crea...
2007-05-23
[ [ "Lahiri", "Somdeb", "" ] ]
This paper proves the existence of non-empty cores for directed network problems with quotas and for those combinatorial allocation problems which permit only exclusive allocations.
1409.5715
Stefan Schulte
Stefan Schulte, Christian Janiesch, Srikumar Venugopal, Ingo Weber, Philipp Hoenisch
Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud
Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and P. Hoenisch (2015). Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud. Future Generation Computer Systems, Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.005
Future Generation Computer Systems, Volume 46, 36-50 (2015)
10.1016/j.future.2014.09.005
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e.,...
[ { "created": "Fri, 19 Sep 2014 16:36:49 GMT", "version": "v1" }, { "created": "Mon, 22 Sep 2014 10:56:55 GMT", "version": "v2" } ]
2017-08-21
[ [ "Schulte", "Stefan", "" ], [ "Janiesch", "Christian", "" ], [ "Venugopal", "Srikumar", "" ], [ "Weber", "Ingo", "" ], [ "Hoenisch", "Philipp", "" ] ]
With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e., p...