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1508.03101
Jason McEwen
J. D. McEwen, M. B\"uttner, B. Leistedt, H. V. Peiris and Y. Wiaux
A novel sampling theorem on the rotation group
5 pages, 2 figures, minor changes to match version accepted for publication. Code available at http://www.sothree.org
IEEE Signal Processing Letters. Vol. 22, No. 12, 2015, pp 2425-2429
10.1109/LSP.2015.2490676
null
cs.IT astro-ph.IM math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a novel sampling theorem for functions defined on the three-dimensional rotation group SO(3) by connecting the rotation group to the three-torus through a periodic extension. Our sampling theorem requires $4L^3$ samples to capture all of the information content of a signal band-limited at $L$, reducing the...
[ { "created": "Thu, 13 Aug 2015 02:11:23 GMT", "version": "v1" }, { "created": "Fri, 8 Jan 2016 12:23:41 GMT", "version": "v2" } ]
2016-01-11
[ [ "McEwen", "J. D.", "" ], [ "Büttner", "M.", "" ], [ "Leistedt", "B.", "" ], [ "Peiris", "H. V.", "" ], [ "Wiaux", "Y.", "" ] ]
We develop a novel sampling theorem for functions defined on the three-dimensional rotation group SO(3) by connecting the rotation group to the three-torus through a periodic extension. Our sampling theorem requires $4L^3$ samples to capture all of the information content of a signal band-limited at $L$, reducing the n...
1007.1484
David Eppstein
Erin Chambers and David Eppstein
Flows in One-Crossing-Minor-Free Graphs
16 pages, 4 figures
J. Graph Algorithms & Applications 17(3): 201-220, 2013
10.7155/jgaa.00291
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the maximum flow problem in directed H-minor-free graphs where H can be drawn in the plane with one crossing. If a structural decomposition of the graph as a clique-sum of planar graphs and graphs of constant complexity is given, we show that a maximum flow can be computed in O(n log n) time. In particular, ...
[ { "created": "Thu, 8 Jul 2010 23:24:59 GMT", "version": "v1" } ]
2015-07-16
[ [ "Chambers", "Erin", "" ], [ "Eppstein", "David", "" ] ]
We study the maximum flow problem in directed H-minor-free graphs where H can be drawn in the plane with one crossing. If a structural decomposition of the graph as a clique-sum of planar graphs and graphs of constant complexity is given, we show that a maximum flow can be computed in O(n log n) time. In particular, ma...
1501.06158
Adi Vardi
Yossi Azar and Adi Vardi
TSP with Time Windows and Service Time
arXiv admin note: substantial text overlap with arXiv:1309.0251
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider TSP with time windows and service time. In this problem we receive a sequence of requests for a service at nodes in a metric space and a time window for each request. The goal of the online algorithm is to maximize the number of requests served during their time window. The time to traverse an edge is the...
[ { "created": "Sun, 25 Jan 2015 13:52:36 GMT", "version": "v1" } ]
2015-01-27
[ [ "Azar", "Yossi", "" ], [ "Vardi", "Adi", "" ] ]
We consider TSP with time windows and service time. In this problem we receive a sequence of requests for a service at nodes in a metric space and a time window for each request. The goal of the online algorithm is to maximize the number of requests served during their time window. The time to traverse an edge is the d...
2103.16025
Sen Tian
Sen Tian, Panos Ipeirotis
On the Predictability of Utilizing Rank Percentile to Evaluate Scientific Impact
The dataset and the code to reproduce the results in this paper are available online at https://github.com/sentian/SciImpactRanking
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bibliographic metrics are commonly utilized for evaluation purposes within academia, often in conjunction with other metrics. These metrics vary widely across fields and change with the seniority of the scholar; consequently, the only way to interpret these values is by comparison with other academics within the same...
[ { "created": "Tue, 30 Mar 2021 02:07:58 GMT", "version": "v1" }, { "created": "Fri, 9 Jul 2021 04:04:23 GMT", "version": "v2" }, { "created": "Thu, 16 Dec 2021 06:39:16 GMT", "version": "v3" } ]
2021-12-17
[ [ "Tian", "Sen", "" ], [ "Ipeirotis", "Panos", "" ] ]
Bibliographic metrics are commonly utilized for evaluation purposes within academia, often in conjunction with other metrics. These metrics vary widely across fields and change with the seniority of the scholar; consequently, the only way to interpret these values is by comparison with other academics within the same f...
1612.08534
Fang Zhao
Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, Shuicheng Yan
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face recognition techniques have been developed significantly in recent years. However, recognizing faces with partial occlusion is still challenging for existing face recognizers which is heavily desired in real-world applications concerning surveillance and security. Although much research effort has been devoted t...
[ { "created": "Tue, 27 Dec 2016 08:36:48 GMT", "version": "v1" } ]
2016-12-28
[ [ "Zhao", "Fang", "" ], [ "Feng", "Jiashi", "" ], [ "Zhao", "Jian", "" ], [ "Yang", "Wenhan", "" ], [ "Yan", "Shuicheng", "" ] ]
Face recognition techniques have been developed significantly in recent years. However, recognizing faces with partial occlusion is still challenging for existing face recognizers which is heavily desired in real-world applications concerning surveillance and security. Although much research effort has been devoted to ...
2209.14599
Toan Pham Van
Toan Pham Van, Linh Bao Doan, Thanh Tung Nguyen, Duc Trung Tran, Quan Van Nguyen, Dinh Viet Sang
Online pseudo labeling for polyp segmentation with momentum networks
Accepted in KSE 2022
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Semantic segmentation is an essential task in developing medical image diagnosis systems. However, building an annotated medical dataset is expensive. Thus, semi-supervised methods are significant in this circumstance. In semi-supervised learning, the quality of labels plays a crucial role in model performance. In th...
[ { "created": "Thu, 29 Sep 2022 07:33:54 GMT", "version": "v1" } ]
2022-09-30
[ [ "Van", "Toan Pham", "" ], [ "Doan", "Linh Bao", "" ], [ "Nguyen", "Thanh Tung", "" ], [ "Tran", "Duc Trung", "" ], [ "Van Nguyen", "Quan", "" ], [ "Sang", "Dinh Viet", "" ] ]
Semantic segmentation is an essential task in developing medical image diagnosis systems. However, building an annotated medical dataset is expensive. Thus, semi-supervised methods are significant in this circumstance. In semi-supervised learning, the quality of labels plays a crucial role in model performance. In this...
2007.07316
Nisarg Shah
Safwan Hossain, Nisarg Shah
The Effect of Strategic Noise in Linear Regression
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We build on an emerging line of work which studies strategic manipulations in training data provided to machine learning algorithms. Specifically, we focus on the ubiquitous task of linear regression. Prior work focused on the design of strategyproof algorithms, which aim to prevent such manipulations altogether by a...
[ { "created": "Tue, 14 Jul 2020 19:28:19 GMT", "version": "v1" } ]
2020-07-16
[ [ "Hossain", "Safwan", "" ], [ "Shah", "Nisarg", "" ] ]
We build on an emerging line of work which studies strategic manipulations in training data provided to machine learning algorithms. Specifically, we focus on the ubiquitous task of linear regression. Prior work focused on the design of strategyproof algorithms, which aim to prevent such manipulations altogether by ali...
1901.03285
Fabian Steiner
Alexandru Dominic Git, Bal\'azs Matuz, Fabian Steiner
Protograph-Based LDPC Code Design for Probabilistic Shaping with On-Off Keying
Invited Paper for CISS 2019
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work investigates protograph-based LDPC codes for the AWGN channel with OOK modulation. A non-uniform distribution of the OOK modulation symbols is considered to improve the power efficiency especially for low SNRs. To this end, a specific transmitter architecture based on time sharing is proposed that allows pr...
[ { "created": "Thu, 10 Jan 2019 17:29:35 GMT", "version": "v1" } ]
2019-01-11
[ [ "Git", "Alexandru Dominic", "" ], [ "Matuz", "Balázs", "" ], [ "Steiner", "Fabian", "" ] ]
This work investigates protograph-based LDPC codes for the AWGN channel with OOK modulation. A non-uniform distribution of the OOK modulation symbols is considered to improve the power efficiency especially for low SNRs. To this end, a specific transmitter architecture based on time sharing is proposed that allows prob...
2105.10880
Yang Li
Yang Li, Hermawan Mulyono, Ying Chen, Zhiyin Lu, Desmond Chan
RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US
Source code: https://github.com/yangland/rtfps
null
null
null
cs.LG cs.HC cs.IR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US. To awaken people's attention to climate change, and to visualize the current risk of wildfires, We developed RtFPS, "Rea...
[ { "created": "Sun, 23 May 2021 08:07:01 GMT", "version": "v1" }, { "created": "Tue, 22 Jun 2021 01:58:27 GMT", "version": "v2" } ]
2021-06-23
[ [ "Li", "Yang", "" ], [ "Mulyono", "Hermawan", "" ], [ "Chen", "Ying", "" ], [ "Lu", "Zhiyin", "" ], [ "Chan", "Desmond", "" ] ]
Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US. To awaken people's attention to climate change, and to visualize the current risk of wildfires, We developed RtFPS, "Real-...
2403.10842
Mohammad Ali Labbaf Khaniki
Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fault detection and diagnosis (FDD) is a crucial task for ensuring the safety and efficiency of industrial processes. We propose a novel FDD methodology for the Tennessee Eastman Process (TEP), a widely used benchmark for chemical process control. The model employs two separate Transformer branches, enabling independ...
[ { "created": "Sat, 16 Mar 2024 07:40:23 GMT", "version": "v1" }, { "created": "Mon, 1 Apr 2024 18:37:10 GMT", "version": "v2" }, { "created": "Fri, 21 Jun 2024 07:04:49 GMT", "version": "v3" } ]
2024-06-24
[ [ "Labbaf-Khaniki", "Mohammad Ali", "" ], [ "Manthouri", "Mohammad", "" ] ]
Fault detection and diagnosis (FDD) is a crucial task for ensuring the safety and efficiency of industrial processes. We propose a novel FDD methodology for the Tennessee Eastman Process (TEP), a widely used benchmark for chemical process control. The model employs two separate Transformer branches, enabling independen...
2101.05634
Renato Stoffalette Joao
Renato Stoffalette Jo\~ao and Pavlos Fafalios and Stefan Dietze
Better Together -- An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems
SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing
null
10.1145/3341105.3373883
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving them to a corresponding entity in a reference knowledge base like Wikipedia. Throughout the past decade, a plethora of EL systems and pipelines have become available, where performance of individual systems varies heavi...
[ { "created": "Thu, 14 Jan 2021 14:42:57 GMT", "version": "v1" } ]
2021-01-15
[ [ "João", "Renato Stoffalette", "" ], [ "Fafalios", "Pavlos", "" ], [ "Dietze", "Stefan", "" ] ]
Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving them to a corresponding entity in a reference knowledge base like Wikipedia. Throughout the past decade, a plethora of EL systems and pipelines have become available, where performance of individual systems varies heavily...
1009.4386
David Malone
Minyu Fang, David Malone, Ken R. Duffy, and Douglas J. Leith
Decentralised Learning MACs for Collision-free Access in WLANs
null
Springer Wireless Networks 2013, Volume 19, Issue 1, pp 83-98
10.1007/s11276-012-0452-1
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a MAC with optimal long-run throughput that is almost decentralised. We then design two \changed{schemes} that are practically realisable, d...
[ { "created": "Wed, 22 Sep 2010 15:24:12 GMT", "version": "v1" }, { "created": "Wed, 2 Mar 2011 16:42:44 GMT", "version": "v2" } ]
2013-09-19
[ [ "Fang", "Minyu", "" ], [ "Malone", "David", "" ], [ "Duffy", "Ken R.", "" ], [ "Leith", "Douglas J.", "" ] ]
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a MAC with optimal long-run throughput that is almost decentralised. We then design two \changed{schemes} that are practically realisable, dec...
2308.04336
Krzysztof Turowski
Alan Frieze and Krzysztof Turowski and Wojciech Szpankowski
On the concentration of the maximum degree in the duplication-divergence models
null
null
null
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
We present a rigorous and precise analysis of the maximum degree and the average degree in a dynamic duplication-divergence graph model introduced by Sol\'e, Pastor-Satorras et al. in which the graph grows according to a duplication-divergence mechanism, i.e. by iteratively creating a copy of some node and then rando...
[ { "created": "Tue, 8 Aug 2023 15:30:07 GMT", "version": "v1" }, { "created": "Wed, 6 Dec 2023 17:29:17 GMT", "version": "v2" } ]
2023-12-07
[ [ "Frieze", "Alan", "" ], [ "Turowski", "Krzysztof", "" ], [ "Szpankowski", "Wojciech", "" ] ]
We present a rigorous and precise analysis of the maximum degree and the average degree in a dynamic duplication-divergence graph model introduced by Sol\'e, Pastor-Satorras et al. in which the graph grows according to a duplication-divergence mechanism, i.e. by iteratively creating a copy of some node and then randoml...
1702.00616
Fedor Sandomirskiy
Anna Bogomolnaia, Herve Moulin, Fedor Sandomirskiy, Elena Yanovskaya
Competitive division of a mixed manna
33 pages, 13 figures; this paper subsumes arXiv:1608.01540 and arXiv:1610.03745
null
null
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A mixed manna contains goods (that everyone likes), bads (that everyone dislikes), as well as items that are goods to some agents, but bads or satiated to others. If all items are goods and utility functions are homothetic, concave (and monotone), the Competitive Equilibrium with Equal Incomes maximizes the Nash pr...
[ { "created": "Thu, 2 Feb 2017 11:07:53 GMT", "version": "v1" } ]
2017-02-03
[ [ "Bogomolnaia", "Anna", "" ], [ "Moulin", "Herve", "" ], [ "Sandomirskiy", "Fedor", "" ], [ "Yanovskaya", "Elena", "" ] ]
A mixed manna contains goods (that everyone likes), bads (that everyone dislikes), as well as items that are goods to some agents, but bads or satiated to others. If all items are goods and utility functions are homothetic, concave (and monotone), the Competitive Equilibrium with Equal Incomes maximizes the Nash produc...
1503.03585
Jascha Sohl-Dickstein
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
null
null
null
null
cs.LG cond-mat.dis-nn q-bio.NC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A central problem in machine learning involves modeling complex data-sets using highly flexible families of probability distributions in which learning, sampling, inference, and evaluation are still analytically or computationally tractable. Here, we develop an approach that simultaneously achieves both flexibility a...
[ { "created": "Thu, 12 Mar 2015 04:51:37 GMT", "version": "v1" }, { "created": "Thu, 2 Apr 2015 06:48:02 GMT", "version": "v2" }, { "created": "Wed, 29 Apr 2015 06:00:20 GMT", "version": "v3" }, { "created": "Wed, 13 May 2015 01:57:49 GMT", "version": "v4" }, { "cr...
2015-11-20
[ [ "Sohl-Dickstein", "Jascha", "" ], [ "Weiss", "Eric A.", "" ], [ "Maheswaranathan", "Niru", "" ], [ "Ganguli", "Surya", "" ] ]
A central problem in machine learning involves modeling complex data-sets using highly flexible families of probability distributions in which learning, sampling, inference, and evaluation are still analytically or computationally tractable. Here, we develop an approach that simultaneously achieves both flexibility and...
1811.06166
Tianchi Huang
Tianchi Huang, Xin Yao, Chenglei Wu, Rui-Xiao Zhang, Zhangyuan Pang, Lifeng Sun
Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming
Published in ICME 2019
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing reinforcement learning~(RL)-based adaptive bitrate~(ABR) approaches outperform the previous fixed control rules based methods by improving the Quality of Experience~(QoE) score, as the QoE metric can hardly provide clear guidance for optimization, finally resulting in the unexpected strategies. In this paper...
[ { "created": "Thu, 15 Nov 2018 04:29:49 GMT", "version": "v1" }, { "created": "Tue, 26 Feb 2019 14:05:02 GMT", "version": "v2" }, { "created": "Thu, 2 May 2019 14:40:30 GMT", "version": "v3" } ]
2019-05-03
[ [ "Huang", "Tianchi", "" ], [ "Yao", "Xin", "" ], [ "Wu", "Chenglei", "" ], [ "Zhang", "Rui-Xiao", "" ], [ "Pang", "Zhangyuan", "" ], [ "Sun", "Lifeng", "" ] ]
Existing reinforcement learning~(RL)-based adaptive bitrate~(ABR) approaches outperform the previous fixed control rules based methods by improving the Quality of Experience~(QoE) score, as the QoE metric can hardly provide clear guidance for optimization, finally resulting in the unexpected strategies. In this paper, ...
2002.06816
Pamela K. Douglas
Pamela K. Douglas, Farzad Vasheghani Farahani
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
2 figures
Med NeurIPS 2019
null
null
cs.CV cs.LG eess.IV q-bio.NC
http://creativecommons.org/licenses/by/4.0/
The increasing use of deep neural networks (DNNs) has motivated a parallel endeavor: the design of adversaries that profit from successful misclassifications. However, not all adversarial examples are crafted for malicious purposes. For example, real world systems often contain physical, temporal, and sampling variab...
[ { "created": "Mon, 17 Feb 2020 07:49:20 GMT", "version": "v1" } ]
2020-02-18
[ [ "Douglas", "Pamela K.", "" ], [ "Farahani", "Farzad Vasheghani", "" ] ]
The increasing use of deep neural networks (DNNs) has motivated a parallel endeavor: the design of adversaries that profit from successful misclassifications. However, not all adversarial examples are crafted for malicious purposes. For example, real world systems often contain physical, temporal, and sampling variabil...
2403.14639
Andrei Khurshudov
Andrei Khurshudov
On Defining Smart Cities using Transformer Neural Networks
16 pages, 2 fugures
International Journal of Computer and Technology Vol 24 (2024) ISSN: 2277-3061
10.24297/ijct.v24i.9579
null
cs.CY cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Cities worldwide are rapidly adopting smart technologies, transforming urban life. Despite this trend, a universally accepted definition of 'smart city' remains elusive. Past efforts to define it have not yielded a consensus, as evidenced by the numerous definitions in use. In this paper, we endeavored to create a ne...
[ { "created": "Tue, 20 Feb 2024 18:34:24 GMT", "version": "v1" } ]
2024-03-25
[ [ "Khurshudov", "Andrei", "" ] ]
Cities worldwide are rapidly adopting smart technologies, transforming urban life. Despite this trend, a universally accepted definition of 'smart city' remains elusive. Past efforts to define it have not yielded a consensus, as evidenced by the numerous definitions in use. In this paper, we endeavored to create a new ...
2311.14726
Frank Heyen
Frank Heyen, Alejandro Gabino Diaz Mendoza, Quynh Quang Ngo, Michael Sedlmair
Visual Guitar Tab Comparison
Late-breaking demo for ISMIR 2023 https://ismir2023program.ismir.net/lbd_357.html
null
null
null
cs.HC cs.GR
http://creativecommons.org/licenses/by/4.0/
We designed a visual interface for comparing different guitar tablature (tab) versions of the same piece. By automatically aligning the bars of these versions and visually encoding different metrics, our interface helps determine similarity, difficulty, and correctness. During our design, we collected and integrated ...
[ { "created": "Mon, 20 Nov 2023 11:09:59 GMT", "version": "v1" } ]
2023-11-28
[ [ "Heyen", "Frank", "" ], [ "Mendoza", "Alejandro Gabino Diaz", "" ], [ "Ngo", "Quynh Quang", "" ], [ "Sedlmair", "Michael", "" ] ]
We designed a visual interface for comparing different guitar tablature (tab) versions of the same piece. By automatically aligning the bars of these versions and visually encoding different metrics, our interface helps determine similarity, difficulty, and correctness. During our design, we collected and integrated fe...
2211.13339
Bilal Farooq
Daniel Opoku Mensah and Godwin Badu-Marfo and Bilal Farooq
Robustness Analysis of Deep Learning Models for Population Synthesis
arXiv admin note: text overlap with arXiv:2203.03489, arXiv:1909.07689 by other authors
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep generative models have become useful for synthetic data generation, particularly population synthesis. The models implicitly learn the probability distribution of a dataset and can draw samples from a distribution. Several models have been proposed, but their performance is only tested on a single cross-sectiona...
[ { "created": "Wed, 23 Nov 2022 22:55:55 GMT", "version": "v1" } ]
2022-11-28
[ [ "Mensah", "Daniel Opoku", "" ], [ "Badu-Marfo", "Godwin", "" ], [ "Farooq", "Bilal", "" ] ]
Deep generative models have become useful for synthetic data generation, particularly population synthesis. The models implicitly learn the probability distribution of a dataset and can draw samples from a distribution. Several models have been proposed, but their performance is only tested on a single cross-sectional ...
1811.02658
George Kesidis
Yujia Wang, David J. Miller, George Kesidis
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses detection of a reverse engineering (RE) attack targeting a deep neural network (DNN) image classifier; by querying, RE's aim is to discover the classifier's decision rule. RE can enable test-time evasion attacks, which require knowledge of the classifier. Recently, we proposed a quite effective a...
[ { "created": "Wed, 31 Oct 2018 20:59:49 GMT", "version": "v1" } ]
2018-11-08
[ [ "Wang", "Yujia", "" ], [ "Miller", "David J.", "" ], [ "Kesidis", "George", "" ] ]
This paper addresses detection of a reverse engineering (RE) attack targeting a deep neural network (DNN) image classifier; by querying, RE's aim is to discover the classifier's decision rule. RE can enable test-time evasion attacks, which require knowledge of the classifier. Recently, we proposed a quite effective app...
2007.00752
Ana Nora Evans
Ana Nora Evans, Bradford Campbell, Mary Lou Soffa
Is Rust Used Safely by Software Developers?
null
null
10.1145/3377811.3380413
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rust, an emerging programming language with explosive growth, provides a robust type system that enables programmers to write memory-safe and data-race free code. To allow access to a machine's hardware and to support low-level performance optimizations, a second language, Unsafe Rust, is embedded in Rust. It contain...
[ { "created": "Wed, 1 Jul 2020 21:00:25 GMT", "version": "v1" } ]
2020-07-03
[ [ "Evans", "Ana Nora", "" ], [ "Campbell", "Bradford", "" ], [ "Soffa", "Mary Lou", "" ] ]
Rust, an emerging programming language with explosive growth, provides a robust type system that enables programmers to write memory-safe and data-race free code. To allow access to a machine's hardware and to support low-level performance optimizations, a second language, Unsafe Rust, is embedded in Rust. It contains ...
2305.19107
Lijian Xu
Ziyu Ni, Linda Wei, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li and Shaoting Zhang
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
8pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local hemodynamic forces play an important role in determining the functional significance of coronary arterial stenosis and understanding the mechanism of coronary disease progression. Computational fluid dynamics (CFD) have been widely performed to simulate hemodynamics non-invasively from coronary computed tomogra...
[ { "created": "Tue, 30 May 2023 15:12:52 GMT", "version": "v1" } ]
2023-05-31
[ [ "Ni", "Ziyu", "" ], [ "Wei", "Linda", "" ], [ "Xu", "Lijian", "" ], [ "Yu", "Simon", "" ], [ "Xia", "Qing", "" ], [ "Li", "Hongsheng", "" ], [ "Zhang", "Shaoting", "" ] ]
Local hemodynamic forces play an important role in determining the functional significance of coronary arterial stenosis and understanding the mechanism of coronary disease progression. Computational fluid dynamics (CFD) have been widely performed to simulate hemodynamics non-invasively from coronary computed tomograph...
2402.05407
Xinyi Hu
Xinyi Hu, Nikolaos Pappas, Howard H. Yang
Version age-based client scheduling policy for federated learning
5 pages, 4 figures, ICASSP 2024
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning (FL) has emerged as a privacy-preserving machine learning paradigm facilitating collaborative training across multiple clients without sharing local data. Despite advancements in edge device capabilities, communication bottlenecks present challenges in aggregating a large number of clients; only a ...
[ { "created": "Thu, 8 Feb 2024 04:48:51 GMT", "version": "v1" } ]
2024-02-09
[ [ "Hu", "Xinyi", "" ], [ "Pappas", "Nikolaos", "" ], [ "Yang", "Howard H.", "" ] ]
Federated Learning (FL) has emerged as a privacy-preserving machine learning paradigm facilitating collaborative training across multiple clients without sharing local data. Despite advancements in edge device capabilities, communication bottlenecks present challenges in aggregating a large number of clients; only a po...
2407.08990
Yue Zhang
Yue Zhang, Woyu Zhang, Shaocong Wang, Ning Lin, Yifei Yu, Yangu He, Bo Wang, Hao Jiang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Qi Liu, Kwang-Ting Cheng and Ming Liu
Dynamic neural network with memristive CIM and CAM for 2D and 3D vision
In press
null
null
null
cs.AR cs.AI cs.ET cs.NE
http://creativecommons.org/licenses/by/4.0/
The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate inputs with past experiences, and run on digital computers with physically separated memory and processing. We prop...
[ { "created": "Fri, 12 Jul 2024 04:55:57 GMT", "version": "v1" } ]
2024-07-15
[ [ "Zhang", "Yue", "" ], [ "Zhang", "Woyu", "" ], [ "Wang", "Shaocong", "" ], [ "Lin", "Ning", "" ], [ "Yu", "Yifei", "" ], [ "He", "Yangu", "" ], [ "Wang", "Bo", "" ], [ "Jiang", "Hao", "" ]...
The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate inputs with past experiences, and run on digital computers with physically separated memory and processing. We propos...
2312.07250
Lifeng Han Dr
Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
Accepted by Frontiers in Digital Health - Health Informatics
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We conduct investigations on clinical text machine translation by examining multilingual neural network models using deep learning such as Transformer based structures. Furthermore, to address the language resource imbalance issue, we also carry out experiments using a transfer learning methodology based on massive m...
[ { "created": "Tue, 12 Dec 2023 13:26:42 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2024 12:08:47 GMT", "version": "v2" } ]
2024-02-22
[ [ "Han", "Lifeng", "" ], [ "Gladkoff", "Serge", "" ], [ "Erofeev", "Gleb", "" ], [ "Sorokina", "Irina", "" ], [ "Galiano", "Betty", "" ], [ "Nenadic", "Goran", "" ] ]
We conduct investigations on clinical text machine translation by examining multilingual neural network models using deep learning such as Transformer based structures. Furthermore, to address the language resource imbalance issue, we also carry out experiments using a transfer learning methodology based on massive mul...
1511.00310
Daniel Lokshtanov
Daniel Lokshtanov
Parameterized Integer Quadratic Programming: Variables and Coefficients
Added algorithm for undounded IQP's
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Integer Quadratic Programming problem input is an n*n integer matrix Q, an m*n integer matrix A and an m-dimensional integer vector b. The task is to find a vector x in Z^n, minimizing x^TQx, subject to Ax <= b. We give a fixed parameter tractable algorithm for Integer Quadratic Programming parameterized by n+...
[ { "created": "Sun, 1 Nov 2015 21:47:44 GMT", "version": "v1" }, { "created": "Mon, 10 Apr 2017 11:39:57 GMT", "version": "v2" } ]
2017-04-11
[ [ "Lokshtanov", "Daniel", "" ] ]
In the Integer Quadratic Programming problem input is an n*n integer matrix Q, an m*n integer matrix A and an m-dimensional integer vector b. The task is to find a vector x in Z^n, minimizing x^TQx, subject to Ax <= b. We give a fixed parameter tractable algorithm for Integer Quadratic Programming parameterized by n+a....
2209.01541
Shihan Lin
Shihan Lin, Rui Xin, Aayush Goel, Xiaowei Yang
InviCloak: An End-to-End Approach to Privacy and Performance in Web Content Distribution
null
The ACM Conference on Computer and Communications Security 2022
10.1145/3548606.3559336
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In today's web ecosystem, a website that uses a Content Delivery Network (CDN) shares its Transport Layer Security (TLS) private key or session key with the CDN. In this paper, we present the design and implementation of InviCloak, a system that protects the confidentiality and integrity of a user and a website's pri...
[ { "created": "Sun, 4 Sep 2022 06:38:27 GMT", "version": "v1" }, { "created": "Wed, 7 Sep 2022 19:30:21 GMT", "version": "v2" }, { "created": "Sun, 18 Sep 2022 11:17:35 GMT", "version": "v3" } ]
2023-01-27
[ [ "Lin", "Shihan", "" ], [ "Xin", "Rui", "" ], [ "Goel", "Aayush", "" ], [ "Yang", "Xiaowei", "" ] ]
In today's web ecosystem, a website that uses a Content Delivery Network (CDN) shares its Transport Layer Security (TLS) private key or session key with the CDN. In this paper, we present the design and implementation of InviCloak, a system that protects the confidentiality and integrity of a user and a website's priva...
2205.08706
Xun Xu
Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
IEEE Transactions on Image Processing
null
10.1109/TIP.2022.3189823
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recent work on curvilinear structure segmentation has mostly focused on backbone network design and loss engineering. The challenge of collecting labelled data, an expensive and labor intensive process, has been overlooked. While labelled data is expensive to obtain, unlabelled data is often readily available. In thi...
[ { "created": "Wed, 18 May 2022 03:52:17 GMT", "version": "v1" }, { "created": "Thu, 19 May 2022 05:48:42 GMT", "version": "v2" } ]
2022-09-07
[ [ "Xu", "Xun", "" ], [ "Nguyen", "Manh Cuong", "" ], [ "Yazici", "Yasin", "" ], [ "Lu", "Kangkang", "" ], [ "Min", "Hlaing", "" ], [ "Foo", "Chuan-Sheng", "" ] ]
Recent work on curvilinear structure segmentation has mostly focused on backbone network design and loss engineering. The challenge of collecting labelled data, an expensive and labor intensive process, has been overlooked. While labelled data is expensive to obtain, unlabelled data is often readily available. In this ...
1706.03549
Fran\c{c}ois Ollivier
John Masse and Clara Masse and Fran\c{c}ois Ollivier
Automatic differentiation of hybrid models Illustrated by Diffedge Graphic Methodology. (Survey)
47 p. Source files from computer experiments available
null
null
null
cs.SY cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the automatic differentiation of hybrid models, viz. models that may contain delays, logical tests and discontinuities or loops. We consider differentiation with respect to parameters, initial conditions or the time. We emphasize the case of a small number of derivations and iterated differentiations a...
[ { "created": "Mon, 12 Jun 2017 10:20:59 GMT", "version": "v1" } ]
2017-06-13
[ [ "Masse", "John", "" ], [ "Masse", "Clara", "" ], [ "Ollivier", "François", "" ] ]
We investigate the automatic differentiation of hybrid models, viz. models that may contain delays, logical tests and discontinuities or loops. We consider differentiation with respect to parameters, initial conditions or the time. We emphasize the case of a small number of derivations and iterated differentiations are...
2205.15204
Yanhong Annie Liu
Yanhong A. Liu, Scott D. Stoller, Yi Tong, Bo Lin, K. Tuncay Tekle
Programming with rules and everything else, seamlessly
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Logic rules are powerful for expressing complex reasoning and analysis problems. At the same time, they are inconvenient or impossible to use for many other aspects of applications. Integrating rules in a language with sets and functions, and furthermore with updates to objects, has been a subject of significant stud...
[ { "created": "Mon, 30 May 2022 15:59:03 GMT", "version": "v1" } ]
2022-05-31
[ [ "Liu", "Yanhong A.", "" ], [ "Stoller", "Scott D.", "" ], [ "Tong", "Yi", "" ], [ "Lin", "Bo", "" ], [ "Tekle", "K. Tuncay", "" ] ]
Logic rules are powerful for expressing complex reasoning and analysis problems. At the same time, they are inconvenient or impossible to use for many other aspects of applications. Integrating rules in a language with sets and functions, and furthermore with updates to objects, has been a subject of significant study....
2001.06680
Guanbin Li
Jie Wu, Guanbin Li, Si Liu, Liang Lin
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video
To appear in AAAI2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Temporally language grounding in untrimmed videos is a newly-raised task in video understanding. Most of the existing methods suffer from inferior efficiency, lacking interpretability, and deviating from the human perception mechanism. Inspired by human's coarse-to-fine decision-making paradigm, we formulate a novel ...
[ { "created": "Sat, 18 Jan 2020 15:08:04 GMT", "version": "v1" } ]
2020-01-22
[ [ "Wu", "Jie", "" ], [ "Li", "Guanbin", "" ], [ "Liu", "Si", "" ], [ "Lin", "Liang", "" ] ]
Temporally language grounding in untrimmed videos is a newly-raised task in video understanding. Most of the existing methods suffer from inferior efficiency, lacking interpretability, and deviating from the human perception mechanism. Inspired by human's coarse-to-fine decision-making paradigm, we formulate a novel Tr...
2107.12778
Majid Forghani-Elahabad
Majid Forghani-elahabad
Assessing the performance of smart grid communication networks under both time and budget constraints
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The smart grid concept has emerged to address the existing problems in the traditional electric grid, which has been functioning for more than a hundred years. The most crucial difference between traditional grids and smart grids is the communication infrastructure applied to the latter. However, coupling between the...
[ { "created": "Tue, 27 Jul 2021 12:43:43 GMT", "version": "v1" } ]
2021-07-28
[ [ "Forghani-elahabad", "Majid", "" ] ]
The smart grid concept has emerged to address the existing problems in the traditional electric grid, which has been functioning for more than a hundred years. The most crucial difference between traditional grids and smart grids is the communication infrastructure applied to the latter. However, coupling between these...
2309.09635
Colin M. Gray
Colin M. Gray and Thomas Mildner and Nataliia Bielova
Temporal Analysis of Dark Patterns: A Case Study of a User's Odyssey to Conquer Prime Membership Cancellation through the "Iliad Flow"
null
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Dark patterns are ubiquitous in digital systems, impacting users throughout their journeys on many popular apps and websites. While substantial efforts from the research community in the last five years have led to consolidated taxonomies of dark patterns, including an emerging ontology, most applications of these de...
[ { "created": "Mon, 18 Sep 2023 10:12:52 GMT", "version": "v1" } ]
2023-09-19
[ [ "Gray", "Colin M.", "" ], [ "Mildner", "Thomas", "" ], [ "Bielova", "Nataliia", "" ] ]
Dark patterns are ubiquitous in digital systems, impacting users throughout their journeys on many popular apps and websites. While substantial efforts from the research community in the last five years have led to consolidated taxonomies of dark patterns, including an emerging ontology, most applications of these desc...
1901.09892
Xiaolei Liu
Xiaolei Liu, Yuheng Luo, Xiaosong Zhang, Qingxin Zhu
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm
null
null
10.1007/978-3-030-55304-3_14
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural networks play an increasingly important role in the field of machine learning and are included in many applications in society. Unfortunately, neural networks suffer from adversarial samples generated to attack them. However, most of the generation approaches either assume that the attacker has full knowledge ...
[ { "created": "Sat, 26 Jan 2019 10:25:57 GMT", "version": "v1" } ]
2024-03-13
[ [ "Liu", "Xiaolei", "" ], [ "Luo", "Yuheng", "" ], [ "Zhang", "Xiaosong", "" ], [ "Zhu", "Qingxin", "" ] ]
Neural networks play an increasingly important role in the field of machine learning and are included in many applications in society. Unfortunately, neural networks suffer from adversarial samples generated to attack them. However, most of the generation approaches either assume that the attacker has full knowledge of...
2208.00790
Zhouyingcheng Liao
Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou
Skeleton-free Pose Transfer for Stylized 3D Characters
Accepted at ECCV 2022. Project website https://zycliao.github.io/sfpt
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging. In contrast to previous attempts to learn pose transformations on fixed or topology-equivalent skeleton templates, our method focuses on a novel scenario to handle skeleton-free characters with dive...
[ { "created": "Thu, 28 Jul 2022 20:05:57 GMT", "version": "v1" } ]
2022-08-02
[ [ "Liao", "Zhouyingcheng", "" ], [ "Yang", "Jimei", "" ], [ "Saito", "Jun", "" ], [ "Pons-Moll", "Gerard", "" ], [ "Zhou", "Yang", "" ] ]
We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging. In contrast to previous attempts to learn pose transformations on fixed or topology-equivalent skeleton templates, our method focuses on a novel scenario to handle skeleton-free characters with divers...
1110.0271
Miguel Angel Martin-Delgado
Miguel-Angel Martin-Delgado
Alan Turing and the Origins of Complexity
Invited contribution to 'ARBOR: scientific journal of CSIC' special edition devoted to commemorate the Year of Alan Turing. This special issue is entitled "The Legacy of Alan Turing". Coordinators: Manuel de Leon, Alberto Ibort and David Martin de Diego
ARBOR Vol 189, No 764 (2013), a083
10.3989/arbor.2013.i764.
null
cs.CC cond-mat.stat-mech quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The 75th anniversary of Turing's seminal paper and his centennial year anniversary occur in 2011 and 2012, respectively. It is natural to review and assess Turing's contributions in diverse fields in the light of new developments that his thoughts has triggered in many scientific communities. Here, the main idea is t...
[ { "created": "Mon, 3 Oct 2011 06:21:55 GMT", "version": "v1" } ]
2014-02-10
[ [ "Martin-Delgado", "Miguel-Angel", "" ] ]
The 75th anniversary of Turing's seminal paper and his centennial year anniversary occur in 2011 and 2012, respectively. It is natural to review and assess Turing's contributions in diverse fields in the light of new developments that his thoughts has triggered in many scientific communities. Here, the main idea is to ...
2407.05996
Moritz Reuss
Moritz Reuss, \"Omer Erdin\c{c} Ya\u{g}murlu, Fabian Wenzel, Rudolf Lioutikov
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
RSS 2024
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
This work introduces the Multimodal Diffusion Transformer (MDT), a novel diffusion policy framework, that excels at learning versatile behavior from multimodal goal specifications with few language annotations. MDT leverages a diffusion-based multimodal transformer backbone and two self-supervised auxiliary objective...
[ { "created": "Mon, 8 Jul 2024 14:46:44 GMT", "version": "v1" } ]
2024-07-09
[ [ "Reuss", "Moritz", "" ], [ "Yağmurlu", "Ömer Erdinç", "" ], [ "Wenzel", "Fabian", "" ], [ "Lioutikov", "Rudolf", "" ] ]
This work introduces the Multimodal Diffusion Transformer (MDT), a novel diffusion policy framework, that excels at learning versatile behavior from multimodal goal specifications with few language annotations. MDT leverages a diffusion-based multimodal transformer backbone and two self-supervised auxiliary objectives ...
2211.06001
Yong Hong
Yong Hong, Deren Li, Shupei Luo, Xin Chen, Yi Yang, Mi Wang
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This study proposes an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism of the transformer's encoder-decoder structure. A multi-dimensional feature extraction backbone network is combined with a self-built semantic raster map, which...
[ { "created": "Fri, 11 Nov 2022 04:58:46 GMT", "version": "v1" } ]
2022-11-14
[ [ "Hong", "Yong", "" ], [ "Li", "Deren", "" ], [ "Luo", "Shupei", "" ], [ "Chen", "Xin", "" ], [ "Yang", "Yi", "" ], [ "Wang", "Mi", "" ] ]
This study proposes an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism of the transformer's encoder-decoder structure. A multi-dimensional feature extraction backbone network is combined with a self-built semantic raster map, which i...
2207.10245
Oskar van der Wal MSc
Oskar van der Wal, Jaap Jumelet, Katrin Schulz, Willem Zuidema
The Birth of Bias: A case study on the evolution of gender bias in an English language model
Accepted at the 4th Workshop on Gender Bias in Natural Language Processing (NAACL, 2022)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Detecting and mitigating harmful biases in modern language models are widely recognized as crucial, open problems. In this paper, we take a step back and investigate how language models come to be biased in the first place. We use a relatively small language model, using the LSTM architecture trained on an English Wi...
[ { "created": "Thu, 21 Jul 2022 00:59:04 GMT", "version": "v1" } ]
2022-07-22
[ [ "van der Wal", "Oskar", "" ], [ "Jumelet", "Jaap", "" ], [ "Schulz", "Katrin", "" ], [ "Zuidema", "Willem", "" ] ]
Detecting and mitigating harmful biases in modern language models are widely recognized as crucial, open problems. In this paper, we take a step back and investigate how language models come to be biased in the first place. We use a relatively small language model, using the LSTM architecture trained on an English Wiki...
1902.01642
Peer-Olaf Siebers
Daniel Stroud, Christian Wagner, Peer-Olaf Siebers
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health
16 pages, 18 figures, 3 tables, working paper
null
null
null
cs.MA cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are stochastic simulations that revolve around groups of agents that each have their own characteristics and can make decisions. Such simulations...
[ { "created": "Tue, 5 Feb 2019 11:15:55 GMT", "version": "v1" } ]
2019-02-06
[ [ "Stroud", "Daniel", "" ], [ "Wagner", "Christian", "" ], [ "Siebers", "Peer-Olaf", "" ] ]
The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are stochastic simulations that revolve around groups of agents that each have their own characteristics and can make decisions. Such simulations c...
1111.0432
Sangkyun Lee
Sangkyun Lee and Stephen J. Wright
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
An extended version of the ICPRAM 2012 paper
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Subgradient algorithms for training support vector machines have been quite successful for solving large-scale and online learning problems. However, they have been restricted to linear kernels and strongly convex formulations. This paper describes efficient subgradient approaches without such limitations. Our approa...
[ { "created": "Wed, 2 Nov 2011 09:24:26 GMT", "version": "v1" }, { "created": "Thu, 3 Nov 2011 13:33:27 GMT", "version": "v2" } ]
2011-11-04
[ [ "Lee", "Sangkyun", "" ], [ "Wright", "Stephen J.", "" ] ]
Subgradient algorithms for training support vector machines have been quite successful for solving large-scale and online learning problems. However, they have been restricted to linear kernels and strongly convex formulations. This paper describes efficient subgradient approaches without such limitations. Our approach...
1405.6922
Omid Aghazadeh
Omid Aghazadeh and Stefan Carlsson
Large Scale, Large Margin Classification using Indefinite Similarity Measures
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the success of the popular kernelized support vector machines, they have two major limitations: they are restricted to Positive Semi-Definite (PSD) kernels, and their training complexity scales at least quadratically with the size of the data. Many natural measures of similarity between pairs of samples are n...
[ { "created": "Tue, 27 May 2014 14:18:26 GMT", "version": "v1" } ]
2014-05-28
[ [ "Aghazadeh", "Omid", "" ], [ "Carlsson", "Stefan", "" ] ]
Despite the success of the popular kernelized support vector machines, they have two major limitations: they are restricted to Positive Semi-Definite (PSD) kernels, and their training complexity scales at least quadratically with the size of the data. Many natural measures of similarity between pairs of samples are not...
1007.5406
Markus Lohrey
Markus Lohrey, Sebastian Maneth and Roy Mennicke
Tree structure compression with RePair
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we introduce a new linear time compression algorithm, called "Re-pair for Trees", which compresses ranked ordered trees using linear straight-line context-free tree grammars. Such grammars generalize straight-line context-free string grammars and allow basic tree operations, like traversal along edges, t...
[ { "created": "Fri, 30 Jul 2010 10:14:21 GMT", "version": "v1" } ]
2010-08-02
[ [ "Lohrey", "Markus", "" ], [ "Maneth", "Sebastian", "" ], [ "Mennicke", "Roy", "" ] ]
In this work we introduce a new linear time compression algorithm, called "Re-pair for Trees", which compresses ranked ordered trees using linear straight-line context-free tree grammars. Such grammars generalize straight-line context-free string grammars and allow basic tree operations, like traversal along edges, to ...
1404.4936
Tao Zhou
Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang, Zimo Yang, Chuang Liu, Wei-Min Li
Promoting cold-start items in recommender systems
6 pages, 6 figures
null
10.1371/journal.pone.0113457
null
cs.IR cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is ext...
[ { "created": "Sat, 19 Apr 2014 08:16:47 GMT", "version": "v1" } ]
2015-06-19
[ [ "Liu", "Jin-Hu", "" ], [ "Zhou", "Tao", "" ], [ "Zhang", "Zi-Ke", "" ], [ "Yang", "Zimo", "" ], [ "Liu", "Chuang", "" ], [ "Li", "Wei-Min", "" ] ]
As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extre...
2005.04865
Nithin V. Sabu
Nithin V. Sabu, Neeraj Varshney and Abhishek K. Gupta
3-D Diffusive Molecular Communication with Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exact analytical channel models for molecular communication via diffusion (MCvD) systems involving multiple fully absorbing receivers (FARs) in a three-dimensional (3- D) medium are hard to obtain due to the mathematical intractability of corresponding diffusion equations. This work, therefore, consider an MCvD syste...
[ { "created": "Mon, 11 May 2020 05:19:37 GMT", "version": "v1" }, { "created": "Sun, 5 Jul 2020 05:46:43 GMT", "version": "v2" }, { "created": "Mon, 14 Sep 2020 14:07:45 GMT", "version": "v3" } ]
2020-09-15
[ [ "Sabu", "Nithin V.", "" ], [ "Varshney", "Neeraj", "" ], [ "Gupta", "Abhishek K.", "" ] ]
Exact analytical channel models for molecular communication via diffusion (MCvD) systems involving multiple fully absorbing receivers (FARs) in a three-dimensional (3- D) medium are hard to obtain due to the mathematical intractability of corresponding diffusion equations. This work, therefore, consider an MCvD system ...
2106.15968
Salvatore Vilella
Salvatore Vilella, Alfonso Semeraro, Daniela Paolotti, Giancarlo Ruffo
The Impact of Disinformation on a Controversial Debate on Social Media
null
EPJ Data Science volume 11, Article number: 29 (2022)
10.1140/epjds/s13688-022-00342-w
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
In this work we study how pervasive is the presence of disinformation in the Italian debate around immigration on Twitter and the role of automated accounts in the diffusion of such content. By characterising the Twitter users with an \textit{Untrustworthiness} score, that tells us how frequently they engage with dis...
[ { "created": "Wed, 30 Jun 2021 10:29:07 GMT", "version": "v1" } ]
2023-02-03
[ [ "Vilella", "Salvatore", "" ], [ "Semeraro", "Alfonso", "" ], [ "Paolotti", "Daniela", "" ], [ "Ruffo", "Giancarlo", "" ] ]
In this work we study how pervasive is the presence of disinformation in the Italian debate around immigration on Twitter and the role of automated accounts in the diffusion of such content. By characterising the Twitter users with an \textit{Untrustworthiness} score, that tells us how frequently they engage with disin...
1808.07586
Michael Ekstrand
Michael D. Ekstrand and Daniel Kluver
Exploring Author Gender in Book Rating and Recommendation
Expanded version under review
null
null
null
cs.IR cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Collaborative filtering algorithms find useful patterns in rating and consumption data and exploit these patterns to guide users to good items. Many of the patterns in rating datasets reflect important real-world differences between the various users and items in the data; other patterns may be irrelevant or possibly...
[ { "created": "Wed, 22 Aug 2018 23:00:26 GMT", "version": "v1" }, { "created": "Sat, 25 Jul 2020 00:14:02 GMT", "version": "v2" } ]
2020-07-28
[ [ "Ekstrand", "Michael D.", "" ], [ "Kluver", "Daniel", "" ] ]
Collaborative filtering algorithms find useful patterns in rating and consumption data and exploit these patterns to guide users to good items. Many of the patterns in rating datasets reflect important real-world differences between the various users and items in the data; other patterns may be irrelevant or possibly u...
2401.11611
Xihaier Luo
Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
25 pages,21 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Reliably reconstructing physical fields from sparse sensor data is a challenge that frequently arises in many scientific domains. In practice, the process generating the data often is not understood to sufficient accuracy. Therefore, there is a growing interest in using the deep neural network route to address the pr...
[ { "created": "Sun, 21 Jan 2024 22:18:29 GMT", "version": "v1" } ]
2024-01-23
[ [ "Luo", "Xihaier", "" ], [ "Xu", "Wei", "" ], [ "Ren", "Yihui", "" ], [ "Yoo", "Shinjae", "" ], [ "Nadiga", "Balu", "" ] ]
Reliably reconstructing physical fields from sparse sensor data is a challenge that frequently arises in many scientific domains. In practice, the process generating the data often is not understood to sufficient accuracy. Therefore, there is a growing interest in using the deep neural network route to address the prob...
1202.0467
Walid Saad
Walid Saad, Zhu Han, Rong Zheng, Are Hj{\o}rungnes, Tamer Ba\c{s}ar, and H. Vincent Poor
Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks
IEEE Journal on Selected Topics in Signal Processing (JSTSP), Special Issue on Game Theory, to appear, 2012
null
10.1109/JSTSP.2011.2175699
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unlicensed secondary users (SUs) in cognitive radio networks are subject to an inherent tradeoff between spectrum sensing and spectrum access. Although each SU has an incentive to sense the primary user (PU) channels for locating spectrum holes, this exploration of the spectrum can come at the expense of a shorter tr...
[ { "created": "Thu, 2 Feb 2012 15:38:09 GMT", "version": "v1" } ]
2015-06-04
[ [ "Saad", "Walid", "" ], [ "Han", "Zhu", "" ], [ "Zheng", "Rong", "" ], [ "Hjørungnes", "Are", "" ], [ "Başar", "Tamer", "" ], [ "Poor", "H. Vincent", "" ] ]
Unlicensed secondary users (SUs) in cognitive radio networks are subject to an inherent tradeoff between spectrum sensing and spectrum access. Although each SU has an incentive to sense the primary user (PU) channels for locating spectrum holes, this exploration of the spectrum can come at the expense of a shorter tran...
1904.08138
Feiyang Chen
Feiyang Chen, Ziqian Luo, Yanyan Xu, Dengfeng Ke
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis
Accepted by AAAI2020 Workshop: AffCon2020
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Sentiment analysis, mostly based on text, has been rapidly developing in the last decade and has attracted widespread attention in both academia and industry. However, the information in the real world usually comes from multiple modalities, such as audio and text. Therefore, in this paper, based on audio and text, w...
[ { "created": "Wed, 17 Apr 2019 08:46:53 GMT", "version": "v1" }, { "created": "Tue, 23 Apr 2019 02:43:45 GMT", "version": "v2" }, { "created": "Thu, 25 Apr 2019 03:40:18 GMT", "version": "v3" }, { "created": "Mon, 22 Jul 2019 02:22:51 GMT", "version": "v4" }, { "c...
2019-12-12
[ [ "Chen", "Feiyang", "" ], [ "Luo", "Ziqian", "" ], [ "Xu", "Yanyan", "" ], [ "Ke", "Dengfeng", "" ] ]
Sentiment analysis, mostly based on text, has been rapidly developing in the last decade and has attracted widespread attention in both academia and industry. However, the information in the real world usually comes from multiple modalities, such as audio and text. Therefore, in this paper, based on audio and text, we ...
2308.07081
Jivnesh Sandhan
Jivnesh Sandhan, Amruta Barbadikar, Malay Maity, Pavankumar Satuluri, Tushar Sandhan, Ravi M. Gupta, Pawan Goyal and Laxmidhar Behera
Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka
15 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted to uncovering the hidden beauty of Sanskrit poetry in computational linguistics. This article explores the intersection of Sanskrit poetry...
[ { "created": "Mon, 14 Aug 2023 11:26:25 GMT", "version": "v1" } ]
2023-08-15
[ [ "Sandhan", "Jivnesh", "" ], [ "Barbadikar", "Amruta", "" ], [ "Maity", "Malay", "" ], [ "Satuluri", "Pavankumar", "" ], [ "Sandhan", "Tushar", "" ], [ "Gupta", "Ravi M.", "" ], [ "Goyal", "Pawan", "" ], ...
Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted to uncovering the hidden beauty of Sanskrit poetry in computational linguistics. This article explores the intersection of Sanskrit poetry a...
2104.08549
Muhammad Nabeel
Maxim Penner, Muhammad Nabeel, J\"urgen Peissig
Link-Level Performance Evaluation of IMT-2020 Candidate Technology: DECT-2020 New Radio
6 pages, 5 figures, 3 tables
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ETSI has recently introduced the DECT-2020 New Radio (NR) as an IMT-2020 candidate technology for the mMTC and URLLC use cases. To consider DECT-2020 NR as an IMT-2020 technology, the ITU-R has determined different independent evaluation groups to assess its performance against the IMT-2020 requirements. These in...
[ { "created": "Sat, 17 Apr 2021 14:00:33 GMT", "version": "v1" } ]
2021-04-20
[ [ "Penner", "Maxim", "" ], [ "Nabeel", "Muhammad", "" ], [ "Peissig", "Jürgen", "" ] ]
The ETSI has recently introduced the DECT-2020 New Radio (NR) as an IMT-2020 candidate technology for the mMTC and URLLC use cases. To consider DECT-2020 NR as an IMT-2020 technology, the ITU-R has determined different independent evaluation groups to assess its performance against the IMT-2020 requirements. These inde...
1611.06547
Henk Moed
Henk F. Moed
A critical comparative analysis of five world university rankings
Author copy of a paper accepted for publication in Scientometrics, 15 Nov. 2016 v2
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To provide users insight into the value and limits of world university rankings, a comparative analysis is conducted of 5 ranking systems: ARWU, Leiden, THE, QS and U-Multirank. It links these systems with one another at the level of individual institutions, and analyses the overlap in institutional coverage, geograp...
[ { "created": "Sun, 20 Nov 2016 17:06:50 GMT", "version": "v1" }, { "created": "Mon, 5 Dec 2016 14:14:04 GMT", "version": "v2" } ]
2016-12-06
[ [ "Moed", "Henk F.", "" ] ]
To provide users insight into the value and limits of world university rankings, a comparative analysis is conducted of 5 ranking systems: ARWU, Leiden, THE, QS and U-Multirank. It links these systems with one another at the level of individual institutions, and analyses the overlap in institutional coverage, geographi...
2103.14191
Marcelo De Abranches
Marcelo Abranches, Karl Olson and Eric Keller
Infinity: A Scalable Infrastructure for In-Network Applications
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Network programmability is an area of research both defined by its potential and its current limitations. While programmable hardware enables customization of device operation, tailoring processing to finely tuned objectives, limited resources stifle much of the capability and scalability desired for future technolog...
[ { "created": "Fri, 26 Mar 2021 00:55:08 GMT", "version": "v1" } ]
2021-03-29
[ [ "Abranches", "Marcelo", "" ], [ "Olson", "Karl", "" ], [ "Keller", "Eric", "" ] ]
Network programmability is an area of research both defined by its potential and its current limitations. While programmable hardware enables customization of device operation, tailoring processing to finely tuned objectives, limited resources stifle much of the capability and scalability desired for future technologie...
2307.09533
Aditya Potukuchi
Charlie Carlson, Ewan Davies, Alexandra Kolla, and Aditya Potukuchi
Approximately counting independent sets in dense bipartite graphs via subspace enumeration
15 pages
null
null
null
cs.DS math.CO
http://creativecommons.org/licenses/by/4.0/
We give a randomized algorithm that approximates the number of independent sets in a dense, regular bipartite graph -- in the language of approximate counting, we give an FPRAS for #BIS on the class of dense, regular bipartite graphs. Efficient counting algorithms typically apply to ``high-temperature'' problems on b...
[ { "created": "Tue, 18 Jul 2023 18:23:24 GMT", "version": "v1" } ]
2023-07-20
[ [ "Carlson", "Charlie", "" ], [ "Davies", "Ewan", "" ], [ "Kolla", "Alexandra", "" ], [ "Potukuchi", "Aditya", "" ] ]
We give a randomized algorithm that approximates the number of independent sets in a dense, regular bipartite graph -- in the language of approximate counting, we give an FPRAS for #BIS on the class of dense, regular bipartite graphs. Efficient counting algorithms typically apply to ``high-temperature'' problems on bou...
2012.01037
Baohan Xu
Rui An, Xingtian Shi, Baohan Xu
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series
ICDM 2020
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
As one of the most well-known artificial feature sampler, the sliding window is widely used in scenarios where spatial and temporal information exists, such as computer vision, natural language process, data stream, and time series. Among which time series is common in many scenarios like credit card payment, user be...
[ { "created": "Wed, 2 Dec 2020 09:14:30 GMT", "version": "v1" } ]
2020-12-03
[ [ "An", "Rui", "" ], [ "Shi", "Xingtian", "" ], [ "Xu", "Baohan", "" ] ]
As one of the most well-known artificial feature sampler, the sliding window is widely used in scenarios where spatial and temporal information exists, such as computer vision, natural language process, data stream, and time series. Among which time series is common in many scenarios like credit card payment, user beha...
2106.12659
Stephen Kelly
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
null
null
null
null
cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
A fundamental aspect of behaviour is the ability to encode salient features of experience in memory and use these memories, in combination with current sensory information, to predict the best action for each situation such that long-term objectives are maximized. The world is highly dynamic, and behavioural agents m...
[ { "created": "Wed, 23 Jun 2021 21:34:32 GMT", "version": "v1" } ]
2021-06-25
[ [ "Kelly", "Stephen", "" ], [ "Voegerl", "Tatiana", "" ], [ "Banzhaf", "Wolfgang", "" ], [ "Gondro", "Cedric", "" ] ]
A fundamental aspect of behaviour is the ability to encode salient features of experience in memory and use these memories, in combination with current sensory information, to predict the best action for each situation such that long-term objectives are maximized. The world is highly dynamic, and behavioural agents mus...
2006.09074
Amir Lellouche
Uriel Feige, Amir Lellouche
Quantitative Group Testing and the rank of random matrices
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a random Bernoulli matrix $ A\in \{0,1\}^{m\times n} $, an integer $ 0< k < n $ and the vector $ y:=Ax $, where $ x \in \{0,1\}^n $ is of Hamming weight $ k $, the objective in the {\em Quantitative Group Testing} (QGT) problem is to recover $ x $. This problem is more difficult the smaller $m$ is. For paramete...
[ { "created": "Tue, 16 Jun 2020 11:08:22 GMT", "version": "v1" } ]
2020-06-17
[ [ "Feige", "Uriel", "" ], [ "Lellouche", "Amir", "" ] ]
Given a random Bernoulli matrix $ A\in \{0,1\}^{m\times n} $, an integer $ 0< k < n $ and the vector $ y:=Ax $, where $ x \in \{0,1\}^n $ is of Hamming weight $ k $, the objective in the {\em Quantitative Group Testing} (QGT) problem is to recover $ x $. This problem is more difficult the smaller $m$ is. For parameter ...
0906.0205
Forrest Sheng Bao
Yuanlin Zhang and Forrest Sheng Bao
A Survey of Tree Convex Sets Test
13 pages, 5 figures, 2 tables
null
null
null
cs.DS cs.CC
http://creativecommons.org/licenses/by-nc-sa/3.0/
Tree convex sets refer to a collection of sets such that each set in the collection is a subtree of a tree whose nodes are the elements of these sets. They extend the concept of row convex sets each of which is an interval over a total ordering of the elements of those sets. They have been applied to identify tractab...
[ { "created": "Mon, 1 Jun 2009 03:54:42 GMT", "version": "v1" } ]
2009-06-03
[ [ "Zhang", "Yuanlin", "" ], [ "Bao", "Forrest Sheng", "" ] ]
Tree convex sets refer to a collection of sets such that each set in the collection is a subtree of a tree whose nodes are the elements of these sets. They extend the concept of row convex sets each of which is an interval over a total ordering of the elements of those sets. They have been applied to identify tractable...
2303.12454
Hannes Waclawek
Stefan Huber, Hannes Waclawek
$\mathcal{C}^k$-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in Computer Aided Systems Theory - EUROCAST 2022 and is available online at https://doi.org/10.1007/978-3-031-25312-6_68
Moreno-D\'iaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham
10.1007/978-3-031-25312-6_68
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this work we present an "out-of-the-box" application of Machine Learning (ML) optimizers for an industrial optimization problem. We introduce a piecewise polynomial model (spline) for fitting of $\mathcal{C}^k$-continuos functions, which can be deployed in a cam approximation setting. We then use the gradient desc...
[ { "created": "Wed, 22 Mar 2023 10:52:21 GMT", "version": "v1" } ]
2023-03-23
[ [ "Huber", "Stefan", "" ], [ "Waclawek", "Hannes", "" ] ]
In this work we present an "out-of-the-box" application of Machine Learning (ML) optimizers for an industrial optimization problem. We introduce a piecewise polynomial model (spline) for fitting of $\mathcal{C}^k$-continuos functions, which can be deployed in a cam approximation setting. We then use the gradient descen...
2106.08867
Tim Murray-Browne
Tim Murray-Browne and Panagiotis Tigas
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders
Published at the International Conference on New Interfaces for Musical Expression, June 2021. 3000 word short paper. 5 figures plus video which may be seen at https://timmb.com/sonified-body-r-and-d-lab
null
null
null
cs.HC cs.MM
http://creativecommons.org/licenses/by/4.0/
In many contexts, creating mappings for gestural interactions can form part of an artistic process. Creators seeking a mapping that is expressive, novel, and affords them a sense of authorship may not know how to program it up in a signal processing patch. Tools like Wekinator and MIMIC allow creators to use supervis...
[ { "created": "Wed, 16 Jun 2021 15:40:53 GMT", "version": "v1" } ]
2021-06-17
[ [ "Murray-Browne", "Tim", "" ], [ "Tigas", "Panagiotis", "" ] ]
In many contexts, creating mappings for gestural interactions can form part of an artistic process. Creators seeking a mapping that is expressive, novel, and affords them a sense of authorship may not know how to program it up in a signal processing patch. Tools like Wekinator and MIMIC allow creators to use supervised...
2104.00210
Jaeyong Chung
Phuoc Pham, Jacob Abraham, Jaeyong Chung
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Quantizing weights and activations of deep neural networks is essential for deploying them in resource-constrained devices, or cloud platforms for at-scale services. While binarization is a special case of quantization, this extreme case often leads to several training difficulties, and necessitates specialized model...
[ { "created": "Thu, 1 Apr 2021 02:33:31 GMT", "version": "v1" } ]
2021-04-02
[ [ "Pham", "Phuoc", "" ], [ "Abraham", "Jacob", "" ], [ "Chung", "Jaeyong", "" ] ]
Quantizing weights and activations of deep neural networks is essential for deploying them in resource-constrained devices, or cloud platforms for at-scale services. While binarization is a special case of quantization, this extreme case often leads to several training difficulties, and necessitates specialized models ...
1704.03764
Rodrigo Bruno Mr.
Rodrigo Bruno, Lu\'is Oliveira, Paulo Ferreira
NG2C: Pretenuring N-Generational GC for HotSpot Big Data Applications
Accepted at ISMM'17
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Big Data applications suffer from unpredictable and unacceptably high pause times due to Garbage Collection (GC). This is the case in latency-sensitive applications such as on-line credit-card fraud detection, graph-based computing for analysis on social networks, etc. Such pauses compromise latency requirements of t...
[ { "created": "Wed, 12 Apr 2017 14:03:32 GMT", "version": "v1" } ]
2017-04-13
[ [ "Bruno", "Rodrigo", "" ], [ "Oliveira", "Luís", "" ], [ "Ferreira", "Paulo", "" ] ]
Big Data applications suffer from unpredictable and unacceptably high pause times due to Garbage Collection (GC). This is the case in latency-sensitive applications such as on-line credit-card fraud detection, graph-based computing for analysis on social networks, etc. Such pauses compromise latency requirements of the...
1810.12566
Yi-Chen Chen
Yi-Chen Chen, Chia-Hao Shen, Sung-Feng Huang, Hung-yi Lee, Lin-shan Lee
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data
null
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Producing a large amount of annotated speech data for training ASR systems remains difficult for more than 95% of languages all over the world which are low-resourced. However, we note human babies start to learn the language by the sounds of a small number of exemplar words without hearing a large amount of data. We...
[ { "created": "Tue, 30 Oct 2018 08:11:45 GMT", "version": "v1" } ]
2018-10-31
[ [ "Chen", "Yi-Chen", "" ], [ "Shen", "Chia-Hao", "" ], [ "Huang", "Sung-Feng", "" ], [ "Lee", "Hung-yi", "" ], [ "Lee", "Lin-shan", "" ] ]
Producing a large amount of annotated speech data for training ASR systems remains difficult for more than 95% of languages all over the world which are low-resourced. However, we note human babies start to learn the language by the sounds of a small number of exemplar words without hearing a large amount of data. We i...
2405.06983
Muhammad Umar Farooq Qaisar
Muhammad Umar Farooq Qaisar, Weijie Yuan, Paolo Bellavista, Guangjie Han, and Adeel Ahmed
ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles
Accepted for publication in the Special Issue Q1'2024, "Integrating Sensing and Communication for Ubiquitous Internet of Things," IEEE Internet of Things Magazine
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wireless rechargeable sensor networks (WRSNs). However, efficient charging...
[ { "created": "Sat, 11 May 2024 10:41:54 GMT", "version": "v1" } ]
2024-05-14
[ [ "Qaisar", "Muhammad Umar Farooq", "" ], [ "Yuan", "Weijie", "" ], [ "Bellavista", "Paolo", "" ], [ "Han", "Guangjie", "" ], [ "Ahmed", "Adeel", "" ] ]
As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wireless rechargeable sensor networks (WRSNs). However, efficient charging a...
1804.06111
Biao Xiang
Biao Xiang, Ziqi Liu, Jun Zhou, Xiaolong Li
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
null
null
null
null
cs.SI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study feature propagation on graph, an inference process involved in graph representation learning tasks. It's to spread the features over the whole graph to the $t$-th orders, thus to expand the end's features. The process has been successfully adopted in graph embedding or graph neural networks, however few work...
[ { "created": "Tue, 17 Apr 2018 08:54:19 GMT", "version": "v1" } ]
2018-04-18
[ [ "Xiang", "Biao", "" ], [ "Liu", "Ziqi", "" ], [ "Zhou", "Jun", "" ], [ "Li", "Xiaolong", "" ] ]
We study feature propagation on graph, an inference process involved in graph representation learning tasks. It's to spread the features over the whole graph to the $t$-th orders, thus to expand the end's features. The process has been successfully adopted in graph embedding or graph neural networks, however few works ...
cs/0506074
Paolo Liberatore
Paolo Liberatore
Redundancy in Logic II: 2CNF and Horn Propositional Formulae
Corrected figures on Theorem 10; added and modified some references
null
10.1016/j.artint.2007.06.003
null
cs.AI cs.LO
null
We report complexity results about redundancy of formulae in 2CNF form. We first consider the problem of checking redundancy and show some algorithms that are slightly better than the trivial one. We then analyze problems related to finding irredundant equivalent subsets (I.E.S.) of a given set. The concept of cyclic...
[ { "created": "Fri, 17 Jun 2005 19:28:29 GMT", "version": "v1" }, { "created": "Mon, 20 Jun 2005 15:07:15 GMT", "version": "v2" }, { "created": "Tue, 21 Jun 2005 14:16:22 GMT", "version": "v3" } ]
2021-04-12
[ [ "Liberatore", "Paolo", "" ] ]
We report complexity results about redundancy of formulae in 2CNF form. We first consider the problem of checking redundancy and show some algorithms that are slightly better than the trivial one. We then analyze problems related to finding irredundant equivalent subsets (I.E.S.) of a given set. The concept of cyclicit...
1901.03264
Alex Dytso
Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai (Shitz)
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points
Keywords: Amplitude constraint, power constraint, additive vector Gaussian noise channel, capacity, discrete distributions
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies an $n$-dimensional additive Gaussian noise channel with a peak-power-constrained input. It is well known that, in this case, when $n=1$ the capacity-achieving input distribution is discrete with finitely many mass points, and when $n>1$ the capacity-achieving input distribution is supported on fi...
[ { "created": "Thu, 10 Jan 2019 16:51:08 GMT", "version": "v1" }, { "created": "Wed, 23 Jan 2019 23:04:10 GMT", "version": "v2" }, { "created": "Tue, 27 Aug 2019 21:52:48 GMT", "version": "v3" }, { "created": "Fri, 15 Nov 2019 02:40:44 GMT", "version": "v4" } ]
2019-11-18
[ [ "Dytso", "Alex", "", "Shitz" ], [ "Yagli", "Semih", "", "Shitz" ], [ "Poor", "H. Vincent", "", "Shitz" ], [ "Shamai", "Shlomo", "", "Shitz" ] ]
This paper studies an $n$-dimensional additive Gaussian noise channel with a peak-power-constrained input. It is well known that, in this case, when $n=1$ the capacity-achieving input distribution is discrete with finitely many mass points, and when $n>1$ the capacity-achieving input distribution is supported on finite...
2002.04335
Eren Sezener
Eren Sezener and Peter Dayan
Static and Dynamic Values of Computation in MCTS
Presented in UAI 2020
PMLR 124:31-40, 2020
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monte-Carlo Tree Search (MCTS) is one of the most-widely used methods for planning, and has powered many recent advances in artificial intelligence. In MCTS, one typically performs computations (i.e., simulations) to collect statistics about the possible future consequences of actions, and then chooses accordingly. M...
[ { "created": "Tue, 11 Feb 2020 12:05:58 GMT", "version": "v1" }, { "created": "Thu, 19 Nov 2020 12:28:19 GMT", "version": "v2" } ]
2020-11-20
[ [ "Sezener", "Eren", "" ], [ "Dayan", "Peter", "" ] ]
Monte-Carlo Tree Search (MCTS) is one of the most-widely used methods for planning, and has powered many recent advances in artificial intelligence. In MCTS, one typically performs computations (i.e., simulations) to collect statistics about the possible future consequences of actions, and then chooses accordingly. Man...
1905.11392
Suihua Cai
Wenchao Lin, Suihua Cai, Baodian Wei, Xiao Ma
Successive Cancellation List Decoding of Semi-random Unit Memory Convolutional Codes
Submitted to IEEE Transactions on Information Theory. arXiv admin note: substantial text overlap with arXiv:1902.09808
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present in this paper a special class of unit memory convolutional codes (UMCCs), called semi-random UMCCs (SRUMCCs), where the information block is first encoded by a short block code and then transmitted in a block Markov (random) superposition manner. We propose a successive cancellation list decoding algorithm...
[ { "created": "Mon, 27 May 2019 10:20:32 GMT", "version": "v1" }, { "created": "Fri, 24 Jul 2020 01:57:20 GMT", "version": "v2" } ]
2020-07-27
[ [ "Lin", "Wenchao", "" ], [ "Cai", "Suihua", "" ], [ "Wei", "Baodian", "" ], [ "Ma", "Xiao", "" ] ]
We present in this paper a special class of unit memory convolutional codes (UMCCs), called semi-random UMCCs (SRUMCCs), where the information block is first encoded by a short block code and then transmitted in a block Markov (random) superposition manner. We propose a successive cancellation list decoding algorithm, ...
2006.06135
Zhi Xu
Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the question of learning $Q$-function in a sample efficient manner for reinforcement learning with continuous state and action spaces under a generative model. If $Q$-function is Lipschitz continuous, then the minimal sample complexity for estimating $\epsilon$-optimal $Q$-function is known to scale as ${...
[ { "created": "Thu, 11 Jun 2020 00:55:35 GMT", "version": "v1" } ]
2020-06-12
[ [ "Shah", "Devavrat", "" ], [ "Song", "Dogyoon", "" ], [ "Xu", "Zhi", "" ], [ "Yang", "Yuzhe", "" ] ]
We consider the question of learning $Q$-function in a sample efficient manner for reinforcement learning with continuous state and action spaces under a generative model. If $Q$-function is Lipschitz continuous, then the minimal sample complexity for estimating $\epsilon$-optimal $Q$-function is known to scale as ${\O...
2402.08096
Andrew Bai
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models?
17 pages, 13 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Fine-tuning pretrained foundational models on specific tasks is now the de facto approach for text and vision tasks. A known pitfall of this approach is the forgetting of pretraining knowledge that happens during finetuning. Rehearsing samples randomly from the pretrain dataset is a common approach to alleviate such ...
[ { "created": "Mon, 12 Feb 2024 22:32:12 GMT", "version": "v1" } ]
2024-02-14
[ [ "Bai", "Andrew", "" ], [ "Yeh", "Chih-Kuan", "" ], [ "Hsieh", "Cho-Jui", "" ], [ "Taly", "Ankur", "" ] ]
Fine-tuning pretrained foundational models on specific tasks is now the de facto approach for text and vision tasks. A known pitfall of this approach is the forgetting of pretraining knowledge that happens during finetuning. Rehearsing samples randomly from the pretrain dataset is a common approach to alleviate such fo...
2004.13254
Martin Skrodzki
Martin Skrodzki
How the deprecation of Java applets affected online visualization frameworks -- a case study
null
VisGap - The Gap between Visualization Research and Visualization Software, The Eurographics Association, 2020
10.2312/visgap.20201111
RIKEN-iTHEMS-Report-20
cs.SE cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The JavaView visualization framework was designed at the end of the 1990s as a software that provides - among other services - easy, interactive geometry visualizations on web pages. We discuss how this and other design goals were met and present several applications to highlight the contemporary use-cases of the fra...
[ { "created": "Tue, 28 Apr 2020 02:51:55 GMT", "version": "v1" }, { "created": "Thu, 30 Apr 2020 07:02:09 GMT", "version": "v2" } ]
2020-06-11
[ [ "Skrodzki", "Martin", "" ] ]
The JavaView visualization framework was designed at the end of the 1990s as a software that provides - among other services - easy, interactive geometry visualizations on web pages. We discuss how this and other design goals were met and present several applications to highlight the contemporary use-cases of the frame...
2405.02454
Michael Burnham
Michael Burnham
What is Sentiment Meant to Mean to Language Models?
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Sentiment analysis is one of the most widely used techniques in text analysis. Recent advancements with Large Language Models have made it more accurate and accessible than ever, allowing researchers to classify text with only a plain English prompt. However, "sentiment" entails a wide variety of concepts depending o...
[ { "created": "Fri, 3 May 2024 19:37:37 GMT", "version": "v1" } ]
2024-05-07
[ [ "Burnham", "Michael", "" ] ]
Sentiment analysis is one of the most widely used techniques in text analysis. Recent advancements with Large Language Models have made it more accurate and accessible than ever, allowing researchers to classify text with only a plain English prompt. However, "sentiment" entails a wide variety of concepts depending on ...
1910.04209
Jerry Ma
Jerry Ma, Denis Yarats
On the adequacy of untuned warmup for adaptive optimization
AAAI 2021
null
null
null
cs.LG cs.NE stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Adaptive optimization algorithms such as Adam are widely used in deep learning. The stability of such algorithms is often improved with a warmup schedule for the learning rate. Motivated by the difficulty of choosing and tuning warmup schedules, recent work proposes automatic variance rectification of Adam's adaptive...
[ { "created": "Wed, 9 Oct 2019 19:25:03 GMT", "version": "v1" }, { "created": "Sun, 13 Dec 2020 01:58:24 GMT", "version": "v2" }, { "created": "Sat, 20 Mar 2021 03:43:16 GMT", "version": "v3" } ]
2021-03-23
[ [ "Ma", "Jerry", "" ], [ "Yarats", "Denis", "" ] ]
Adaptive optimization algorithms such as Adam are widely used in deep learning. The stability of such algorithms is often improved with a warmup schedule for the learning rate. Motivated by the difficulty of choosing and tuning warmup schedules, recent work proposes automatic variance rectification of Adam's adaptive l...
2112.06810
Animesh Trivedi
Peter-Jan Gootzen and Animesh Trivedi
Bento and the Art of Repeated Research
null
null
null
null
cs.OS cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bento provides a new approach to developing file systems, with safety and high-velocity development in mind. This is achieved by using Rust, a modern and memory-safe systems programming language, and by providing a framework to run a single file system implementation in kernel space with the VFS or in user space with...
[ { "created": "Mon, 13 Dec 2021 17:13:00 GMT", "version": "v1" } ]
2021-12-15
[ [ "Gootzen", "Peter-Jan", "" ], [ "Trivedi", "Animesh", "" ] ]
Bento provides a new approach to developing file systems, with safety and high-velocity development in mind. This is achieved by using Rust, a modern and memory-safe systems programming language, and by providing a framework to run a single file system implementation in kernel space with the VFS or in user space with F...
2005.10187
Leonardo Maccari
Leonardo Maccari, Valeria Cagno
Do we need a Contact Tracing App?
null
null
null
null
cs.CY cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this paper is to shed some light on the usefulness of a contact tracing smartphone app for the containment of the COVID-19 pandemic. We review the basics of contact tracing during the spread of a virus, we contextualize the numbers to the case of COVID-19 and we analyse the state of the art for proximity ...
[ { "created": "Wed, 20 May 2020 16:50:57 GMT", "version": "v1" }, { "created": "Wed, 29 Jul 2020 13:50:57 GMT", "version": "v2" } ]
2020-07-30
[ [ "Maccari", "Leonardo", "" ], [ "Cagno", "Valeria", "" ] ]
The goal of this paper is to shed some light on the usefulness of a contact tracing smartphone app for the containment of the COVID-19 pandemic. We review the basics of contact tracing during the spread of a virus, we contextualize the numbers to the case of COVID-19 and we analyse the state of the art for proximity de...
1611.05172
Charith Perera
Luiz H. Nunes, Julio C. Estrella, Charith Perera, Stephan Reiff-Marganiec, Alexandre N. Delbem
Multi-criteria IoT Resource Discovery: A Comparative Analysis
Software: Practice and Experience
Software: Practice and Experience 2017
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growth of real world objects with embedded and globally networked sensors allows to consolidate the Internet of Things paradigm and increase the number of applications in the domains of ubiquitous and context-aware computing. The merging between Cloud Computing and Internet of Things named Cloud of Things will be...
[ { "created": "Wed, 16 Nov 2016 07:26:46 GMT", "version": "v1" } ]
2016-11-17
[ [ "Nunes", "Luiz H.", "" ], [ "Estrella", "Julio C.", "" ], [ "Perera", "Charith", "" ], [ "Reiff-Marganiec", "Stephan", "" ], [ "Delbem", "Alexandre N.", "" ] ]
The growth of real world objects with embedded and globally networked sensors allows to consolidate the Internet of Things paradigm and increase the number of applications in the domains of ubiquitous and context-aware computing. The merging between Cloud Computing and Internet of Things named Cloud of Things will be t...
cs/0602056
Domenico Camarda Dr.
Dino Borri, Domenico Camarda
Building Scenarios for Environmental Management and Planning: An IT-Based Approach
null
null
null
null
cs.MA
null
Oftentimes, the need to build multidiscipline knowledge bases, oriented to policy scenarios, entails the involvement of stakeholders in manifold domains, with a juxtaposition of different languages whose semantics can hardly allow inter-domain transfers. A useful support for planning is the building up of durable IT ...
[ { "created": "Wed, 15 Feb 2006 14:46:05 GMT", "version": "v1" } ]
2007-05-23
[ [ "Borri", "Dino", "" ], [ "Camarda", "Domenico", "" ] ]
Oftentimes, the need to build multidiscipline knowledge bases, oriented to policy scenarios, entails the involvement of stakeholders in manifold domains, with a juxtaposition of different languages whose semantics can hardly allow inter-domain transfers. A useful support for planning is the building up of durable IT ba...
1606.03077
Ilias Diakonikolas
Ilias Diakonikolas and Daniel M. Kane and Alistair Stewart
Efficient Robust Proper Learning of Log-concave Distributions
null
null
null
null
cs.DS cs.LG math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the {\em robust proper learning} of univariate log-concave distributions (over continuous and discrete domains). Given a set of samples drawn from an unknown target distribution, we want to compute a log-concave hypothesis distribution that is as close as possible to the target, in total variation distance. ...
[ { "created": "Thu, 9 Jun 2016 19:32:20 GMT", "version": "v1" } ]
2016-06-10
[ [ "Diakonikolas", "Ilias", "" ], [ "Kane", "Daniel M.", "" ], [ "Stewart", "Alistair", "" ] ]
We study the {\em robust proper learning} of univariate log-concave distributions (over continuous and discrete domains). Given a set of samples drawn from an unknown target distribution, we want to compute a log-concave hypothesis distribution that is as close as possible to the target, in total variation distance. In...
1504.05218
Kiril Solovey
Kiril Solovey and Jingjin Yu and Or Zamir and Dan Halperin
Motion Planning for Unlabeled Discs with Optimality Guarantees
null
null
null
null
cs.CG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of path planning for unlabeled (indistinguishable) unit-disc robots in a planar environment cluttered with polygonal obstacles. We introduce an algorithm which minimizes the total path length, i.e., the sum of lengths of the individual paths. Our algorithm is guaranteed to find a solution if one ...
[ { "created": "Mon, 20 Apr 2015 20:24:13 GMT", "version": "v1" } ]
2015-04-22
[ [ "Solovey", "Kiril", "" ], [ "Yu", "Jingjin", "" ], [ "Zamir", "Or", "" ], [ "Halperin", "Dan", "" ] ]
We study the problem of path planning for unlabeled (indistinguishable) unit-disc robots in a planar environment cluttered with polygonal obstacles. We introduce an algorithm which minimizes the total path length, i.e., the sum of lengths of the individual paths. Our algorithm is guaranteed to find a solution if one ex...
2404.19149
Evangelos Ververas
Evangelos Ververas, Rolandos Alexandros Potamias, Jifei Song, Jiankang Deng, Stefanos Zafeiriou
SAGS: Structure-Aware 3D Gaussian Splatting
15 pages, 8 figures, 3 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Following the advent of NeRFs, 3D Gaussian Splatting (3D-GS) has paved the way to real-time neural rendering overcoming the computational burden of volumetric methods. Following the pioneering work of 3D-GS, several methods have attempted to achieve compressible and high-fidelity performance alternatives. However, by...
[ { "created": "Mon, 29 Apr 2024 23:26:30 GMT", "version": "v1" } ]
2024-05-01
[ [ "Ververas", "Evangelos", "" ], [ "Potamias", "Rolandos Alexandros", "" ], [ "Song", "Jifei", "" ], [ "Deng", "Jiankang", "" ], [ "Zafeiriou", "Stefanos", "" ] ]
Following the advent of NeRFs, 3D Gaussian Splatting (3D-GS) has paved the way to real-time neural rendering overcoming the computational burden of volumetric methods. Following the pioneering work of 3D-GS, several methods have attempted to achieve compressible and high-fidelity performance alternatives. However, by e...
2312.00575
Khai Loong Aw
Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut
Instruction-tuning Aligns LLMs to the Human Brain
COLM 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Instruction-tuning is a widely adopted finetuning method that enables large language models (LLMs) to generate output that more closely resembles human responses. However, no studies have shown that instruction-tuning actually teaches LLMs to process language in a similar manner as humans. We investigate the effect o...
[ { "created": "Fri, 1 Dec 2023 13:31:02 GMT", "version": "v1" }, { "created": "Fri, 9 Aug 2024 04:33:58 GMT", "version": "v2" } ]
2024-08-12
[ [ "Aw", "Khai Loong", "" ], [ "Montariol", "Syrielle", "" ], [ "AlKhamissi", "Badr", "" ], [ "Schrimpf", "Martin", "" ], [ "Bosselut", "Antoine", "" ] ]
Instruction-tuning is a widely adopted finetuning method that enables large language models (LLMs) to generate output that more closely resembles human responses. However, no studies have shown that instruction-tuning actually teaches LLMs to process language in a similar manner as humans. We investigate the effect of ...
2210.13212
Weilong Guan
Weilong Guan, Kaihan Yang, Yinsheng Chen, Zhong Guan
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency
33 pages, 12 figures
null
10.1016/j.jcp.2023.112360
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Physics-informed neural networks (PINNs) have been widely applied in different fields due to their effectiveness in solving partial differential equations (PDEs). However, the accuracy and efficiency of PINNs need to be considerably improved for scientific and commercial use. To address this issue, we systematically ...
[ { "created": "Wed, 19 Oct 2022 15:54:37 GMT", "version": "v1" } ]
2023-08-16
[ [ "Guan", "Weilong", "" ], [ "Yang", "Kaihan", "" ], [ "Chen", "Yinsheng", "" ], [ "Guan", "Zhong", "" ] ]
Physics-informed neural networks (PINNs) have been widely applied in different fields due to their effectiveness in solving partial differential equations (PDEs). However, the accuracy and efficiency of PINNs need to be considerably improved for scientific and commercial use. To address this issue, we systematically pr...
1203.6096
Yehuda Afek
Yehuda Afek and Eli Gafni
Asynchrony from Synchrony
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider synchronous dynamic networks which like radio networks may have asymmetric communication links, and are affected by communication rather than processor failures. In this paper we investigate the minimal message survivability in a per round basis that allows for the minimal global cooperation, i.e., allows...
[ { "created": "Tue, 27 Mar 2012 22:26:02 GMT", "version": "v1" } ]
2012-03-29
[ [ "Afek", "Yehuda", "" ], [ "Gafni", "Eli", "" ] ]
We consider synchronous dynamic networks which like radio networks may have asymmetric communication links, and are affected by communication rather than processor failures. In this paper we investigate the minimal message survivability in a per round basis that allows for the minimal global cooperation, i.e., allows t...
cs/0412023
Praveen Boinee
P. Boinee, F. Barbarino, A. De Angelis
Multidimensional data classification with artificial neural networks
8 pages, 4 figures, Submitted to EURASIP Journal on Applied Signal Processing, 2004
null
null
null
cs.NE cs.AI
null
Multi-dimensional data classification is an important and challenging problem in many astro-particle experiments. Neural networks have proved to be versatile and robust in multi-dimensional data classification. In this article we shall study the classification of gamma from the hadrons for the MAGIC Experiment. Two n...
[ { "created": "Mon, 6 Dec 2004 20:23:15 GMT", "version": "v1" } ]
2007-05-23
[ [ "Boinee", "P.", "" ], [ "Barbarino", "F.", "" ], [ "De Angelis", "A.", "" ] ]
Multi-dimensional data classification is an important and challenging problem in many astro-particle experiments. Neural networks have proved to be versatile and robust in multi-dimensional data classification. In this article we shall study the classification of gamma from the hadrons for the MAGIC Experiment. Two neu...
2112.07179
Mahdi Fahmideh
Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen, Jun Shen, Brian Yecies
Blockchain Developments and Innovations
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Blockchain has received expanding interest from various domains. Institutions, enterprises, governments, and agencies are interested in Blockchain potential to augment their software systems. The unique requirements and characteristics of Blockchain platforms raise new challenges involving extensive enhancement to co...
[ { "created": "Tue, 14 Dec 2021 05:51:58 GMT", "version": "v1" } ]
2021-12-15
[ [ "Fahmideh", "Mahdi", "" ], [ "Gunawardana", "Anuradha", "" ], [ "Chen", "Shiping", "" ], [ "Shen", "Jun", "" ], [ "Yecies", "Brian", "" ] ]
Blockchain has received expanding interest from various domains. Institutions, enterprises, governments, and agencies are interested in Blockchain potential to augment their software systems. The unique requirements and characteristics of Blockchain platforms raise new challenges involving extensive enhancement to conv...
2102.10685
Esha Shandilya
Esha Shandilya, Yiwen Wang, Xuan Zhao and Mingming Fan
EvoK: Connecting loved ones through Heart Rate sharing
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
In this work, we present EvoK, a new way of sharing one's heart rate with feedback from their close contacts to alleviate social isolation and loneliness. EvoK consists of a pair of wearable prototype devices (i.e., sender and receiver). The sender is designed as a headband enabling continuous sensing of heart rate w...
[ { "created": "Sun, 21 Feb 2021 21:04:16 GMT", "version": "v1" } ]
2021-02-23
[ [ "Shandilya", "Esha", "" ], [ "Wang", "Yiwen", "" ], [ "Zhao", "Xuan", "" ], [ "Fan", "Mingming", "" ] ]
In this work, we present EvoK, a new way of sharing one's heart rate with feedback from their close contacts to alleviate social isolation and loneliness. EvoK consists of a pair of wearable prototype devices (i.e., sender and receiver). The sender is designed as a headband enabling continuous sensing of heart rate wit...
2101.05469
Jason Wei
Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi
Text Augmentation in a Multi-Task View
Accepted to EACL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Traditional data augmentation aims to increase the coverage of the input distribution by generating augmented examples that strongly resemble original samples in an online fashion where augmented examples dominate training. In this paper, we propose an alternative perspective -- a multi-task view (MTV) of data augmen...
[ { "created": "Thu, 14 Jan 2021 05:59:23 GMT", "version": "v1" } ]
2021-01-15
[ [ "Wei", "Jason", "" ], [ "Huang", "Chengyu", "" ], [ "Xu", "Shiqi", "" ], [ "Vosoughi", "Soroush", "" ] ]
Traditional data augmentation aims to increase the coverage of the input distribution by generating augmented examples that strongly resemble original samples in an online fashion where augmented examples dominate training. In this paper, we propose an alternative perspective -- a multi-task view (MTV) of data augmenta...
2008.03868
Xiaoming Chen
Jianhang Chu, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the issue of massive access in a beyond fifth-generation (B5G) multi-beam low earth orbit (LEO) satellite internet of things (IoT) network in the presence of channel phase uncertainty due to channel state information (CSI) conveyance from the devices to the satellite via the gateway. Rat...
[ { "created": "Mon, 10 Aug 2020 02:41:45 GMT", "version": "v1" } ]
2020-08-11
[ [ "Chu", "Jianhang", "" ], [ "Chen", "Xiaoming", "" ], [ "Zhong", "Caijun", "" ], [ "Zhang", "Zhaoyang", "" ] ]
In this paper, we investigate the issue of massive access in a beyond fifth-generation (B5G) multi-beam low earth orbit (LEO) satellite internet of things (IoT) network in the presence of channel phase uncertainty due to channel state information (CSI) conveyance from the devices to the satellite via the gateway. Rathe...
2007.06122
Ya Xiao
Ya Xiao, Yang Zhao, Nicholas Allen, Nathan Keynes, Danfeng (Daphne) Yao, Cristina Cifuentes
Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases
8 pages, 5 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysis tool used in Oracle to find security vulnerabilities in industrial codebases. Recently, many studies show that there are complicated cry...
[ { "created": "Sun, 12 Jul 2020 22:52:40 GMT", "version": "v1" }, { "created": "Sat, 1 Jan 2022 22:06:04 GMT", "version": "v2" } ]
2022-01-04
[ [ "Xiao", "Ya", "", "Daphne" ], [ "Zhao", "Yang", "", "Daphne" ], [ "Allen", "Nicholas", "", "Daphne" ], [ "Keynes", "Nathan", "", "Daphne" ], [ "Danfeng", "", "", "Daphne" ], [ "Yao", "", "" ], [ ...
Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysis tool used in Oracle to find security vulnerabilities in industrial codebases. Recently, many studies show that there are complicated crypt...
1909.12483
Zhijie Yang
Xiting Zhao, Zhijie Yang and S\"oren Schwertfeger
Mapping with Reflection -- Detection and Utilization of Reflection in 3D Lidar Scans
Accepted at SSRR 2020
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a method to detect reflection of 3D light detection and ranging (Lidar) scans and uses it to classify the points and also map objects outside the line of sight. Our software uses several approaches to analyze the point cloud, including intensity peak detection, dual return detection, plane fitting...
[ { "created": "Fri, 27 Sep 2019 03:43:44 GMT", "version": "v1" }, { "created": "Tue, 27 Oct 2020 05:42:47 GMT", "version": "v2" } ]
2020-10-28
[ [ "Zhao", "Xiting", "" ], [ "Yang", "Zhijie", "" ], [ "Schwertfeger", "Sören", "" ] ]
This paper presents a method to detect reflection of 3D light detection and ranging (Lidar) scans and uses it to classify the points and also map objects outside the line of sight. Our software uses several approaches to analyze the point cloud, including intensity peak detection, dual return detection, plane fitting, ...
1207.5497
Yongge Wang
Yongge Wang
Password Protected Smart Card and Memory Stick Authentication Against Off-line Dictionary Attacks
null
SEC 2012, IFIP AICT 376, pp. 489-500, 2012
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the security requirements for remote authentication with password protected smart card. In recent years, several protocols for password-based authenticated key exchange have been proposed. These protocols are used for the protection of password based authentication between a client and a remot...
[ { "created": "Mon, 23 Jul 2012 19:49:57 GMT", "version": "v1" } ]
2012-07-24
[ [ "Wang", "Yongge", "" ] ]
In this paper, we study the security requirements for remote authentication with password protected smart card. In recent years, several protocols for password-based authenticated key exchange have been proposed. These protocols are used for the protection of password based authentication between a client and a remote ...
2304.11835
Yonggan Fu
Yonggan Fu, Yuecheng Li, Chenghui Li, Jason Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Accepted by CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time and robust photorealistic avatars for telepresence in AR/VR have been highly desired for enabling immersive photorealistic telepresence. However, there still exists one key bottleneck: the considerable computational expense needed to accurately infer facial expressions captured from headset-mounted cameras ...
[ { "created": "Mon, 24 Apr 2023 05:45:12 GMT", "version": "v1" } ]
2023-04-25
[ [ "Fu", "Yonggan", "" ], [ "Li", "Yuecheng", "" ], [ "Li", "Chenghui", "" ], [ "Saragih", "Jason", "" ], [ "Zhang", "Peizhao", "" ], [ "Dai", "Xiaoliang", "" ], [ "Lin", "Yingyan", "" ] ]
Real-time and robust photorealistic avatars for telepresence in AR/VR have been highly desired for enabling immersive photorealistic telepresence. However, there still exists one key bottleneck: the considerable computational expense needed to accurately infer facial expressions captured from headset-mounted cameras wi...
2308.08343
Jordan Awan
Jordan Awan and Aishwarya Ramasethu
Optimizing Noise for $f$-Differential Privacy via Anti-Concentration and Stochastic Dominance
17 pages before appendix, 25 pages total, 6 figures
null
null
null
cs.CR math.PR math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we establish anti-concentration inequalities for additive noise mechanisms which achieve $f$-differential privacy ($f$-DP), a notion of privacy phrased in terms of a tradeoff function (a.k.a. ROC curve) $f$ which limits the ability of an adversary to determine which individuals were in the database. We...
[ { "created": "Wed, 16 Aug 2023 13:09:27 GMT", "version": "v1" } ]
2023-08-17
[ [ "Awan", "Jordan", "" ], [ "Ramasethu", "Aishwarya", "" ] ]
In this paper, we establish anti-concentration inequalities for additive noise mechanisms which achieve $f$-differential privacy ($f$-DP), a notion of privacy phrased in terms of a tradeoff function (a.k.a. ROC curve) $f$ which limits the ability of an adversary to determine which individuals were in the database. We s...
1802.03594
\'Alvaro Peris
\'Alvaro Peris and Francisco Casacuberta
Online Learning for Effort Reduction in Interactive Neural Machine Translation
Accepted in Computer Speech & Language
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Neural machine translation systems require large amounts of training data and resources. Even with this, the quality of the translations may be insufficient for some users or domains. In such cases, the output of the system must be revised by a human agent. This can be done in a post-editing stage or following an int...
[ { "created": "Sat, 10 Feb 2018 14:07:58 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2019 08:18:33 GMT", "version": "v2" } ]
2019-04-09
[ [ "Peris", "Álvaro", "" ], [ "Casacuberta", "Francisco", "" ] ]
Neural machine translation systems require large amounts of training data and resources. Even with this, the quality of the translations may be insufficient for some users or domains. In such cases, the output of the system must be revised by a human agent. This can be done in a post-editing stage or following an inter...
1701.06790
Rachid Echahed
Rachid Echahed and Aude Maignan
Parallel Graph Rewriting with Overlapping Rules
26 pages
null
null
null
cs.FL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of simultaneous transformations of networks represented as graphs. Roughly speaking, one may distinguish two kinds of simultaneous or parallel rewrite relations over complex structures such as graphs: (i) those which transform disjoint subgraphs in parallel and hence can be simulated by successi...
[ { "created": "Tue, 24 Jan 2017 10:02:55 GMT", "version": "v1" } ]
2017-01-25
[ [ "Echahed", "Rachid", "" ], [ "Maignan", "Aude", "" ] ]
We tackle the problem of simultaneous transformations of networks represented as graphs. Roughly speaking, one may distinguish two kinds of simultaneous or parallel rewrite relations over complex structures such as graphs: (i) those which transform disjoint subgraphs in parallel and hence can be simulated by successive...
2001.07049
Lukas Holzbaur
Lukas Holzbaur, Camilla Hollanti, Antonia Wachter-Zeh
Computational Code-Based Single-Server Private Information Retrieval
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new computational private information retrieval (PIR) scheme based on random linear codes is presented. A matrix of messages from a McEliece scheme is used to query the server with carefully chosen errors. The server responds with the sum of the scalar multiple of the rows of the query matrix and the files. The use...
[ { "created": "Mon, 20 Jan 2020 10:31:56 GMT", "version": "v1" }, { "created": "Thu, 14 May 2020 15:58:04 GMT", "version": "v2" } ]
2020-05-15
[ [ "Holzbaur", "Lukas", "" ], [ "Hollanti", "Camilla", "" ], [ "Wachter-Zeh", "Antonia", "" ] ]
A new computational private information retrieval (PIR) scheme based on random linear codes is presented. A matrix of messages from a McEliece scheme is used to query the server with carefully chosen errors. The server responds with the sum of the scalar multiple of the rows of the query matrix and the files. The user ...
2006.10916
Seyed Esmaeili
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson
Probabilistic Fair Clustering
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cs.LG cs.AI cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In clustering problems, a central decision-maker is given a complete metric graph over vertices and must provide a clustering of vertices that minimizes some objective function. In fair clustering problems, vertices are endowed with a color (e.g., membership in a group), and the features of a valid clustering might a...
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2023-06-06
[ [ "Esmaeili", "Seyed A.", "" ], [ "Brubach", "Brian", "" ], [ "Tsepenekas", "Leonidas", "" ], [ "Dickerson", "John P.", "" ] ]
In clustering problems, a central decision-maker is given a complete metric graph over vertices and must provide a clustering of vertices that minimizes some objective function. In fair clustering problems, vertices are endowed with a color (e.g., membership in a group), and the features of a valid clustering might als...