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2403.14399
Liang Ding
Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
Translation-tailored Large language models (LLMs) exhibit remarkable translation capabilities, even competing with supervised-trained commercial translation systems. However, off-target translation remains an unsolved problem, especially for low-resource languages, hindering us from developing accurate LLMs-based tra...
[ { "created": "Thu, 21 Mar 2024 13:47:40 GMT", "version": "v1" } ]
2024-03-22
[ [ "Zan", "Changtong", "" ], [ "Ding", "Liang", "" ], [ "Shen", "Li", "" ], [ "Zhen", "Yibing", "" ], [ "Liu", "Weifeng", "" ], [ "Tao", "Dacheng", "" ] ]
Translation-tailored Large language models (LLMs) exhibit remarkable translation capabilities, even competing with supervised-trained commercial translation systems. However, off-target translation remains an unsolved problem, especially for low-resource languages, hindering us from developing accurate LLMs-based trans...
2003.12327
Lei Huang
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
An Investigation into the Stochasticity of Batch Whitening
Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/StochasticityBW
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Batch Normalization (BN) is extensively employed in various network architectures by performing standardization within mini-batches. A full understanding of the process has been a central target in the deep learning communities. Unlike existing works, which usually only analyze the standardization operation, this...
[ { "created": "Fri, 27 Mar 2020 11:06:32 GMT", "version": "v1" } ]
2020-03-30
[ [ "Huang", "Lei", "" ], [ "Zhao", "Lei", "" ], [ "Zhou", "Yi", "" ], [ "Zhu", "Fan", "" ], [ "Liu", "Li", "" ], [ "Shao", "Ling", "" ] ]
Batch Normalization (BN) is extensively employed in various network architectures by performing standardization within mini-batches. A full understanding of the process has been a central target in the deep learning communities. Unlike existing works, which usually only analyze the standardization operation, this paper...
2403.05488
Fortun\'e Kponou
D. Fortune Kponou, Frejus A. A. Laleye, Eugene C. Ezin
FFSTC: Fongbe to French Speech Translation Corpus
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC) for the first time. This corpus encompasses approximately 31 hours of collected Fongbe language content, featuring both French transcriptions and corresponding Fongbe voice recordings. FFSTC represents a comprehensive dataset compiled ...
[ { "created": "Fri, 8 Mar 2024 17:53:58 GMT", "version": "v1" } ]
2024-03-11
[ [ "Kponou", "D. Fortune", "" ], [ "Laleye", "Frejus A. A.", "" ], [ "Ezin", "Eugene C.", "" ] ]
In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC) for the first time. This corpus encompasses approximately 31 hours of collected Fongbe language content, featuring both French transcriptions and corresponding Fongbe voice recordings. FFSTC represents a comprehensive dataset compiled th...
1908.03237
Andong Cao
Andong Cao, Ali Dhanaliwala, Jianbo Shi, Terence Gade, Brian Park
Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Augmented reality has the potential to improve operating room workflow by allowing physicians to "see" inside a patient through the projection of imaging directly onto the surgical field. For this to be useful the acquired imaging must be quickly and accurately registered with patient and the registration must be mai...
[ { "created": "Thu, 8 Aug 2019 18:57:34 GMT", "version": "v1" } ]
2019-08-12
[ [ "Cao", "Andong", "" ], [ "Dhanaliwala", "Ali", "" ], [ "Shi", "Jianbo", "" ], [ "Gade", "Terence", "" ], [ "Park", "Brian", "" ] ]
Augmented reality has the potential to improve operating room workflow by allowing physicians to "see" inside a patient through the projection of imaging directly onto the surgical field. For this to be useful the acquired imaging must be quickly and accurately registered with patient and the registration must be maint...
1803.10039
Lei He
Lei He, Guanghui Wang and Zhanyi Hu
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
null
null
10.1109/TIP.2018.2832296
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning depth from a single image, as an important issue in scene understanding, has attracted a lot of attention in the past decade. The accuracy of the depth estimation has been improved from conditional Markov random fields, non-parametric methods, to deep convolutional neural networks most recently. However, the...
[ { "created": "Tue, 27 Mar 2018 12:26:15 GMT", "version": "v1" } ]
2018-08-01
[ [ "He", "Lei", "" ], [ "Wang", "Guanghui", "" ], [ "Hu", "Zhanyi", "" ] ]
Learning depth from a single image, as an important issue in scene understanding, has attracted a lot of attention in the past decade. The accuracy of the depth estimation has been improved from conditional Markov random fields, non-parametric methods, to deep convolutional neural networks most recently. However, there...
1712.03757
Lei You
Lei You, Lei Lei, Di Yuan, Sumei Sun, Symeon Chatzinotas, Bj\"orn Ottersten
A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
7 pages
IEEE GLOBECOM 2017
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-orthogonal multiple access (NOMA) allows multiple users to simultaneously access the same time-frequency resource by using superposition coding and successive interference cancellation (SIC). Thus far, most papers on NOMA have focused on performance gain for one or sometimes two base stations. In this paper, we s...
[ { "created": "Mon, 11 Dec 2017 13:05:15 GMT", "version": "v1" } ]
2017-12-12
[ [ "You", "Lei", "" ], [ "Lei", "Lei", "" ], [ "Yuan", "Di", "" ], [ "Sun", "Sumei", "" ], [ "Chatzinotas", "Symeon", "" ], [ "Ottersten", "Björn", "" ] ]
Non-orthogonal multiple access (NOMA) allows multiple users to simultaneously access the same time-frequency resource by using superposition coding and successive interference cancellation (SIC). Thus far, most papers on NOMA have focused on performance gain for one or sometimes two base stations. In this paper, we stu...
1711.05159
Mathys Rennela
Mathys Rennela and Sam Staton
Classical Control, Quantum Circuits and Linear Logic in Enriched Category Theory
null
Logical Methods in Computer Science, Volume 16, Issue 1 (March 10, 2020) lmcs:4068
10.23638/LMCS-16(1:30)2020
null
cs.LO cs.PL math.CT math.OA quant-ph
http://creativecommons.org/licenses/by/4.0/
We describe categorical models of a circuit-based (quantum) functional programming language. We show that enriched categories play a crucial role. Following earlier work on QWire by Paykin et al., we consider both a simple first-order linear language for circuits, and a more powerful host language, such that the circ...
[ { "created": "Tue, 14 Nov 2017 15:59:21 GMT", "version": "v1" }, { "created": "Mon, 12 Aug 2019 17:49:53 GMT", "version": "v2" }, { "created": "Thu, 22 Aug 2019 13:19:22 GMT", "version": "v3" }, { "created": "Fri, 17 Jan 2020 21:38:22 GMT", "version": "v4" }, { "c...
2023-06-22
[ [ "Rennela", "Mathys", "" ], [ "Staton", "Sam", "" ] ]
We describe categorical models of a circuit-based (quantum) functional programming language. We show that enriched categories play a crucial role. Following earlier work on QWire by Paykin et al., we consider both a simple first-order linear language for circuits, and a more powerful host language, such that the circui...
2211.10344
Paul Escapil-Inchausp\'e
Paul Escapil-Inchausp\'e and Gonzalo A. Ruz
Physics-informed neural networks for operator equations with stochastic data
null
null
null
null
cs.LG cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the computation of statistical moments to operator equations with stochastic data. We remark that application of PINNs -- referred to as TPINNs -- allows to solve the induced tensor operator equations under minimal changes of existing PINNs code, and enabling handling of non-linear and time-dependent oper...
[ { "created": "Tue, 15 Nov 2022 20:52:01 GMT", "version": "v1" }, { "created": "Fri, 3 May 2024 21:35:02 GMT", "version": "v2" } ]
2024-05-07
[ [ "Escapil-Inchauspé", "Paul", "" ], [ "Ruz", "Gonzalo A.", "" ] ]
We consider the computation of statistical moments to operator equations with stochastic data. We remark that application of PINNs -- referred to as TPINNs -- allows to solve the induced tensor operator equations under minimal changes of existing PINNs code, and enabling handling of non-linear and time-dependent operat...
2306.10420
Cihat Ke\c{c}eci
Cihat Ke\c{c}eci, Katherine R. Davis, Erchin Serpedin
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids
9 pages, 6 figures
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data analysis and monitoring on smart grids are jeopardized by attacks on cyber-physical systems. False data injection attack (FDIA) is one of the classes of those attacks that target the smart measurement devices by injecting malicious data. The employment of machine learning techniques in the detection and localiza...
[ { "created": "Sat, 17 Jun 2023 20:29:55 GMT", "version": "v1" } ]
2023-06-21
[ [ "Keçeci", "Cihat", "" ], [ "Davis", "Katherine R.", "" ], [ "Serpedin", "Erchin", "" ] ]
Data analysis and monitoring on smart grids are jeopardized by attacks on cyber-physical systems. False data injection attack (FDIA) is one of the classes of those attacks that target the smart measurement devices by injecting malicious data. The employment of machine learning techniques in the detection and localizati...
2206.09262
Shanshan Wu
Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ziyu Liu, Zheng Xu, Virginia Smith
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
40 pages, 10 figures, 7 tables. EMNIST and Landmarks fine-tuning results are corrected in (and after) v5. Code: https://github.com/google-research/federated/tree/master/personalization_benchmark
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Personalized federated learning considers learning models unique to each client in a heterogeneous network. The resulting client-specific models have been purported to improve metrics such as accuracy, fairness, and robustness in federated networks. However, despite a plethora of work in this area, it remains unclear...
[ { "created": "Sat, 18 Jun 2022 18:18:49 GMT", "version": "v1" }, { "created": "Tue, 5 Jul 2022 21:27:05 GMT", "version": "v2" }, { "created": "Sun, 10 Jul 2022 02:29:32 GMT", "version": "v3" }, { "created": "Wed, 13 Jul 2022 23:54:01 GMT", "version": "v4" }, { "cr...
2022-09-27
[ [ "Wu", "Shanshan", "" ], [ "Li", "Tian", "" ], [ "Charles", "Zachary", "" ], [ "Xiao", "Yu", "" ], [ "Liu", "Ziyu", "" ], [ "Xu", "Zheng", "" ], [ "Smith", "Virginia", "" ] ]
Personalized federated learning considers learning models unique to each client in a heterogeneous network. The resulting client-specific models have been purported to improve metrics such as accuracy, fairness, and robustness in federated networks. However, despite a plethora of work in this area, it remains unclear: ...
2309.08008
Yanshan Wang
Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clinical domain. However, to unlock the clinical knowledge hidden in these LLMs, we need to design effective prompts that can guide them to per...
[ { "created": "Thu, 14 Sep 2023 19:35:00 GMT", "version": "v1" } ]
2023-09-18
[ [ "Sivarajkumar", "Sonish", "" ], [ "Kelley", "Mark", "" ], [ "Samolyk-Mazzanti", "Alyssa", "" ], [ "Visweswaran", "Shyam", "" ], [ "Wang", "Yanshan", "" ] ]
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clinical domain. However, to unlock the clinical knowledge hidden in these LLMs, we need to design effective prompts that can guide them to perfo...
2402.10059
Jovan Komatovic
Pierre Civit, Muhammad Ayaz Dzulfikar, Seth Gilbert, Rachid Guerraoui, Jovan Komatovic, Manuel Vidigueira, Igor Zablotchi
Partial Synchrony for Free? New Upper Bounds for Byzantine Agreement
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Byzantine agreement allows n processes to decide on a common value, in spite of arbitrary failures. The seminal Dolev-Reischuk bound states that any deterministic solution to Byzantine agreement exchanges Omega(n^2) bits. In synchronous networks, solutions with optimal O(n^2) bit complexity, optimal fault tolerance, ...
[ { "created": "Thu, 15 Feb 2024 16:29:24 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2024 08:40:21 GMT", "version": "v2" }, { "created": "Thu, 22 Feb 2024 12:06:57 GMT", "version": "v3" }, { "created": "Fri, 5 Apr 2024 08:07:16 GMT", "version": "v4" } ]
2024-04-08
[ [ "Civit", "Pierre", "" ], [ "Dzulfikar", "Muhammad Ayaz", "" ], [ "Gilbert", "Seth", "" ], [ "Guerraoui", "Rachid", "" ], [ "Komatovic", "Jovan", "" ], [ "Vidigueira", "Manuel", "" ], [ "Zablotchi", "Igor", ...
Byzantine agreement allows n processes to decide on a common value, in spite of arbitrary failures. The seminal Dolev-Reischuk bound states that any deterministic solution to Byzantine agreement exchanges Omega(n^2) bits. In synchronous networks, solutions with optimal O(n^2) bit complexity, optimal fault tolerance, an...
1507.02099
Ludo Waltman
Ludo Waltman
A review of the literature on citation impact indicators
null
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review of the literature on citation impact indicators. First, an overview is given of...
[ { "created": "Wed, 8 Jul 2015 11:21:58 GMT", "version": "v1" }, { "created": "Thu, 10 Dec 2015 16:20:02 GMT", "version": "v2" }, { "created": "Thu, 25 Feb 2016 15:11:58 GMT", "version": "v3" } ]
2016-02-26
[ [ "Waltman", "Ludo", "" ] ]
Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review of the literature on citation impact indicators. First, an overview is given of t...
2109.03429
Friedrich Sommer
E. Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Computing on Functions Using Randomized Vector Representations
33 pages, 18 Figures
null
null
null
cs.LG cs.NE q-bio.NC
http://creativecommons.org/licenses/by-sa/4.0/
Vector space models for symbolic processing that encode symbols by random vectors have been proposed in cognitive science and connectionist communities under the names Vector Symbolic Architecture (VSA), and, synonymously, Hyperdimensional (HD) computing. In this paper, we generalize VSAs to function spaces by mappin...
[ { "created": "Wed, 8 Sep 2021 04:39:48 GMT", "version": "v1" } ]
2021-09-09
[ [ "Frady", "E. Paxon", "" ], [ "Kleyko", "Denis", "" ], [ "Kymn", "Christopher J.", "" ], [ "Olshausen", "Bruno A.", "" ], [ "Sommer", "Friedrich T.", "" ] ]
Vector space models for symbolic processing that encode symbols by random vectors have been proposed in cognitive science and connectionist communities under the names Vector Symbolic Architecture (VSA), and, synonymously, Hyperdimensional (HD) computing. In this paper, we generalize VSAs to function spaces by mapping ...
1809.00530
Ruidan He
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
Accepted to EMNLP2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain. Our approach explicitly minimizes the distance between the source and the target instances in an embedded feature space. With the difference betwe...
[ { "created": "Mon, 3 Sep 2018 10:15:04 GMT", "version": "v1" } ]
2018-09-05
[ [ "He", "Ruidan", "" ], [ "Lee", "Wee Sun", "" ], [ "Ng", "Hwee Tou", "" ], [ "Dahlmeier", "Daniel", "" ] ]
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain. Our approach explicitly minimizes the distance between the source and the target instances in an embedded feature space. With the difference between...
1902.11266
M. Saquib Sarfraz
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
Efficient Parameter-free Clustering Using First Neighbor Relations
CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neighbor of each sample is all one needs to discover large chains and finding the groups in the data. In contrast to most existing clustering a...
[ { "created": "Thu, 28 Feb 2019 18:12:57 GMT", "version": "v1" } ]
2019-03-01
[ [ "Sarfraz", "M. Saquib", "" ], [ "Sharma", "Vivek", "" ], [ "Stiefelhagen", "Rainer", "" ] ]
We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neighbor of each sample is all one needs to discover large chains and finding the groups in the data. In contrast to most existing clustering alg...
2401.15048
Dmytro Zakharov
Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni
Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
null
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the realm of security applications, biometric authentication systems play a crucial role, yet one often encounters challenges concerning privacy and security while developing one. One of the most fundamental challenges lies in avoiding storing biometrics directly in the storage but still achieving decently high ac...
[ { "created": "Fri, 26 Jan 2024 18:20:53 GMT", "version": "v1" } ]
2024-01-29
[ [ "Zakharov", "Dmytro", "" ], [ "Kuznetsov", "Oleksandr", "" ], [ "Frontoni", "Emanuele", "" ] ]
In the realm of security applications, biometric authentication systems play a crucial role, yet one often encounters challenges concerning privacy and security while developing one. One of the most fundamental challenges lies in avoiding storing biometrics directly in the storage but still achieving decently high accu...
2010.04970
Yingxue Zhang
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As conventional answer selection (AS) methods generally match the question with each candidate answer independently, they suffer from the lack of matching information between the question and the candidate. To address this problem, we propose a novel reinforcement learning (RL) based multi-step ranking model, named M...
[ { "created": "Sat, 10 Oct 2020 10:36:58 GMT", "version": "v1" } ]
2020-10-13
[ [ "Zhang", "Yingxue", "" ], [ "Meng", "Fandong", "" ], [ "Li", "Peng", "" ], [ "Jian", "Ping", "" ], [ "Zhou", "Jie", "" ] ]
As conventional answer selection (AS) methods generally match the question with each candidate answer independently, they suffer from the lack of matching information between the question and the candidate. To address this problem, we propose a novel reinforcement learning (RL) based multi-step ranking model, named MS-...
2006.13326
Mohammad Fereydounian
Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari, Amin Karbasi, Hamed Hassani
Safe Learning under Uncertain Objectives and Constraints
42 pages, 2 figures
null
null
null
cs.LG cs.AI math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider non-convex optimization problems under \textit{unknown} yet safety-critical constraints. Such problems naturally arise in a variety of domains including robotics, manufacturing, and medical procedures, where it is infeasible to know or identify all the constraints. Therefore, the parameter ...
[ { "created": "Tue, 23 Jun 2020 20:51:00 GMT", "version": "v1" } ]
2020-06-25
[ [ "Fereydounian", "Mohammad", "" ], [ "Shen", "Zebang", "" ], [ "Mokhtari", "Aryan", "" ], [ "Karbasi", "Amin", "" ], [ "Hassani", "Hamed", "" ] ]
In this paper, we consider non-convex optimization problems under \textit{unknown} yet safety-critical constraints. Such problems naturally arise in a variety of domains including robotics, manufacturing, and medical procedures, where it is infeasible to know or identify all the constraints. Therefore, the parameter sp...
2007.02736
Frank Wolter
Alessandro Artale and Jean Christoph Jung and Andrea Mazzullo and Ana Ozaki and Frank Wolter
Living Without Beth and Craig: Definitions and Interpolants in Description and Modal Logics with Nominals and Role Inclusions
We have revised a few sections from the previous version. The relationship between interpolants and explicit definitions is analysed in more detail now
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Craig interpolation property (CIP) states that an interpolant for an implication exists iff it is valid. The projective Beth definability property (PBDP) states that an explicit definition exists iff a formula stating implicit definability is valid. Thus, the CIP and PBDP reduce potentially hard existence problem...
[ { "created": "Mon, 6 Jul 2020 13:16:12 GMT", "version": "v1" }, { "created": "Thu, 20 Aug 2020 08:52:24 GMT", "version": "v2" }, { "created": "Mon, 28 Dec 2020 11:48:02 GMT", "version": "v3" }, { "created": "Wed, 17 Aug 2022 15:49:55 GMT", "version": "v4" }, { "cr...
2023-05-01
[ [ "Artale", "Alessandro", "" ], [ "Jung", "Jean Christoph", "" ], [ "Mazzullo", "Andrea", "" ], [ "Ozaki", "Ana", "" ], [ "Wolter", "Frank", "" ] ]
The Craig interpolation property (CIP) states that an interpolant for an implication exists iff it is valid. The projective Beth definability property (PBDP) states that an explicit definition exists iff a formula stating implicit definability is valid. Thus, the CIP and PBDP reduce potentially hard existence problems ...
2204.06297
Giorgio Visani Mr
Giorgio Visani, Giacomo Graffi, Mattia Alfero, Enrico Bagli, Davide Capuzzo, Federico Chesani
Enabling Synthetic Data adoption in regulated domains
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The switch from a Model-Centric to a Data-Centric mindset is putting emphasis on data and its quality rather than algorithms, bringing forward new challenges. In particular, the sensitive nature of the information in highly regulated scenarios needs to be accounted for. Specific approaches to address the privacy issu...
[ { "created": "Wed, 13 Apr 2022 10:53:54 GMT", "version": "v1" } ]
2022-04-14
[ [ "Visani", "Giorgio", "" ], [ "Graffi", "Giacomo", "" ], [ "Alfero", "Mattia", "" ], [ "Bagli", "Enrico", "" ], [ "Capuzzo", "Davide", "" ], [ "Chesani", "Federico", "" ] ]
The switch from a Model-Centric to a Data-Centric mindset is putting emphasis on data and its quality rather than algorithms, bringing forward new challenges. In particular, the sensitive nature of the information in highly regulated scenarios needs to be accounted for. Specific approaches to address the privacy issue ...
1209.3644
Petrus H Potgieter
Petrus H. Potgieter
Availability of titles on peer-to-peer file sharing networks
8 pages
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
File sharing, typically involving video or audio material in which copyright may persist and using peer-to-peer (P2P) networks like BitTorrent, has been reported to make up the bulk of Internet traffic. The free-riding problem appears in this "digital gift economy" but its users exhibit rational behaviour, subject to...
[ { "created": "Mon, 17 Sep 2012 13:12:04 GMT", "version": "v1" } ]
2012-09-18
[ [ "Potgieter", "Petrus H.", "" ] ]
File sharing, typically involving video or audio material in which copyright may persist and using peer-to-peer (P2P) networks like BitTorrent, has been reported to make up the bulk of Internet traffic. The free-riding problem appears in this "digital gift economy" but its users exhibit rational behaviour, subject to t...
2405.18803
Minyu Feng
Minyu Feng, Ziyan Zeng, Qin Li, Matja\v{z} Perc, J\"urgen Kurths
Information Dynamics in Evolving Networks Based on the Birth-Death Process: Random Drift and Natural Selection Perspective
14 pages, 9 figures
null
10.1109/TSMC.2024.3389095
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dynamic processes in complex networks are crucial for better understanding collective behavior in human societies, biological systems, and the internet. In this paper, we first focus on the continuous Markov-based modeling of evolving networks with the birth-death of individuals. A new individual arrives at the group...
[ { "created": "Wed, 29 May 2024 06:47:00 GMT", "version": "v1" } ]
2024-05-30
[ [ "Feng", "Minyu", "" ], [ "Zeng", "Ziyan", "" ], [ "Li", "Qin", "" ], [ "Perc", "Matjaž", "" ], [ "Kurths", "Jürgen", "" ] ]
Dynamic processes in complex networks are crucial for better understanding collective behavior in human societies, biological systems, and the internet. In this paper, we first focus on the continuous Markov-based modeling of evolving networks with the birth-death of individuals. A new individual arrives at the group b...
2201.06310
I\~nigo Martinez
I\~nigo Martinez, Elisabeth Viles, Igor G. Olaizola
A survey study of success factors in data science projects
6 pages, 7 figures, 2 tables, accepted at IEEE Big Data 2021, International Workshop on Methods to Improve Big Data Science Projects
2021 IEEE International Conference on Big Data, pages 2313-2318
10.1109/BigData52589.2021.9671588
null
cs.DB cs.GL cs.LG cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, the data science community has pursued excellence and made significant research efforts to develop advanced analytics, focusing on solving technical problems at the expense of organizational and socio-technical challenges. According to previous surveys on the state of data science project management,...
[ { "created": "Mon, 17 Jan 2022 09:50:46 GMT", "version": "v1" } ]
2022-01-19
[ [ "Martinez", "Iñigo", "" ], [ "Viles", "Elisabeth", "" ], [ "Olaizola", "Igor G.", "" ] ]
In recent years, the data science community has pursued excellence and made significant research efforts to develop advanced analytics, focusing on solving technical problems at the expense of organizational and socio-technical challenges. According to previous surveys on the state of data science project management, t...
1904.08144
Jaechang Lim
Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, and Woo Youn Kim
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks
20 pages, 2 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate prediction of drug-target interaction (DTI) is essential for in silico drug design. For the purpose, we propose a novel approach for predicting DTI using a GNN that directly incorporates the 3D structure of a protein-ligand complex. We also apply a distance-aware graph attention algorithm with gate augmentat...
[ { "created": "Wed, 17 Apr 2019 09:03:54 GMT", "version": "v1" } ]
2019-04-18
[ [ "Lim", "Jaechang", "" ], [ "Ryu", "Seongok", "" ], [ "Park", "Kyubyong", "" ], [ "Choe", "Yo Joong", "" ], [ "Ham", "Jiyeon", "" ], [ "Kim", "Woo Youn", "" ] ]
Accurate prediction of drug-target interaction (DTI) is essential for in silico drug design. For the purpose, we propose a novel approach for predicting DTI using a GNN that directly incorporates the 3D structure of a protein-ligand complex. We also apply a distance-aware graph attention algorithm with gate augmentatio...
2007.07053
Qiang Nie
Qiang Nie, Ziwei Liu, Yunhui Liu
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
To appear in ECCV 2020. Code and models are available at: https://github.com/NIEQiang001/unsupervised-human-pose.git
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning a good 3D human pose representation is important for human pose related tasks, e.g. human 3D pose estimation and action recognition. Within all these problems, preserving the intrinsic pose information and adapting to view variations are two critical issues. In this work, we propose a novel Siamese denoising...
[ { "created": "Tue, 14 Jul 2020 14:25:22 GMT", "version": "v1" }, { "created": "Tue, 2 Nov 2021 03:23:43 GMT", "version": "v2" } ]
2021-11-03
[ [ "Nie", "Qiang", "" ], [ "Liu", "Ziwei", "" ], [ "Liu", "Yunhui", "" ] ]
Learning a good 3D human pose representation is important for human pose related tasks, e.g. human 3D pose estimation and action recognition. Within all these problems, preserving the intrinsic pose information and adapting to view variations are two critical issues. In this work, we propose a novel Siamese denoising a...
1608.04529
Stephan Druskat
Stephan Druskat
A Proposal for the Measurement and Documentation of Research Software Sustainability in Interactive Metadata Repositories
2 pages, submitted to and accepted for the 4th Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4), 12-14 September 2016, Manchester, UK
null
null
null
cs.SE cs.CY
http://creativecommons.org/licenses/by/4.0/
This paper proposes an interactive repository type for research software metadata which measures and documents software sustainability by accumulating metadata, and computing sustainability metrics over them. Such a repository would help to overcome technical barriers to software sustainability by furthering the disc...
[ { "created": "Tue, 16 Aug 2016 09:41:23 GMT", "version": "v1" }, { "created": "Wed, 17 Aug 2016 10:29:58 GMT", "version": "v2" } ]
2016-08-18
[ [ "Druskat", "Stephan", "" ] ]
This paper proposes an interactive repository type for research software metadata which measures and documents software sustainability by accumulating metadata, and computing sustainability metrics over them. Such a repository would help to overcome technical barriers to software sustainability by furthering the discov...
2005.13654
Matija Pretnar
\v{Z}iga Luk\v{s}i\v{c} and Matija Pretnar
Local Algebraic Effect Theories
24 pages, 8 figures
LUKSIC, Z, & PRETNAR, M. (2020). Local algebraic effect theories. Journal of Functional Programming, 30, E13
10.1017/S0956796819000212
null
cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algebraic effects are computational effects that can be described with a set of basic operations and equations between them. As many interesting effect handlers do not respect these equations, most approaches assume a trivial theory, sacrificing both reasoning power and safety. We present an alternative approach wh...
[ { "created": "Wed, 27 May 2020 21:08:54 GMT", "version": "v1" } ]
2020-05-29
[ [ "Lukšič", "Žiga", "" ], [ "Pretnar", "Matija", "" ] ]
Algebraic effects are computational effects that can be described with a set of basic operations and equations between them. As many interesting effect handlers do not respect these equations, most approaches assume a trivial theory, sacrificing both reasoning power and safety. We present an alternative approach where ...
2204.00350
Zheng Zhao
Zheng Zhao and Bonnie Webber
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
Accepted to CODI 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15,000 implicit relations annotated \textit{across} adjacent sentences in the PDTB-2. Given that the position of the arguments to these \textit{intra-sentential implicits} is no l...
[ { "created": "Fri, 1 Apr 2022 10:56:25 GMT", "version": "v1" } ]
2022-04-04
[ [ "Zhao", "Zheng", "" ], [ "Webber", "Bonnie", "" ] ]
In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15,000 implicit relations annotated \textit{across} adjacent sentences in the PDTB-2. Given that the position of the arguments to these \textit{intra-sentential implicits} is no lon...
2212.05613
Filip Ilievski
Aravinda Kolla, Filip Ilievski, H\^ong-\^An Sandlin and Alain Mermoud
A Study of Slang Representation Methods
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderators in restricting the spread of offensive language, abuse, and hate speech. Despite the success of large language models and the spontaneo...
[ { "created": "Sun, 11 Dec 2022 21:56:44 GMT", "version": "v1" }, { "created": "Fri, 27 Jan 2023 17:06:45 GMT", "version": "v2" }, { "created": "Tue, 31 Jan 2023 19:37:52 GMT", "version": "v3" } ]
2023-02-02
[ [ "Kolla", "Aravinda", "" ], [ "Ilievski", "Filip", "" ], [ "Sandlin", "Hông-Ân", "" ], [ "Mermoud", "Alain", "" ] ]
Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderators in restricting the spread of offensive language, abuse, and hate speech. Despite the success of large language models and the spontaneous...
0801.0938
Sang-Woon Jeon
Sang-Woon Jeon, Natasha Devroye, Mai Vu, Sae-Young Chung, Vahid Tarokh
Cognitive Networks Achieve Throughput Scaling of a Homogeneous Network
28 pages, 12 figures, submitted to IEEE Trans. on Information Theory
IEEE Transactions on Information Theory, vol. 57, no. 8, pp. 5103-5115, Aug. 2011
10.1109/TIT.2011.2158874
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study two distinct, but overlapping, networks that operate at the same time, space, and frequency. The first network consists of $n$ randomly distributed \emph{primary users}, which form either an ad hoc network, or an infrastructure-supported ad hoc network with $l$ additional base stations. The second network co...
[ { "created": "Mon, 7 Jan 2008 10:52:39 GMT", "version": "v1" }, { "created": "Thu, 16 Jul 2009 05:24:13 GMT", "version": "v2" } ]
2016-11-17
[ [ "Jeon", "Sang-Woon", "" ], [ "Devroye", "Natasha", "" ], [ "Vu", "Mai", "" ], [ "Chung", "Sae-Young", "" ], [ "Tarokh", "Vahid", "" ] ]
We study two distinct, but overlapping, networks that operate at the same time, space, and frequency. The first network consists of $n$ randomly distributed \emph{primary users}, which form either an ad hoc network, or an infrastructure-supported ad hoc network with $l$ additional base stations. The second network cons...
cs/0603047
Simone Severini
Stefano Mancini and Simone Severini
The Quantum Separability Problem for Gaussian States
8 pages
Electronic Notes in Theoretical Computer Science, Volume 169 , March 2007, pp. 121-131
10.1016/j.entcs.2006.07.034
null
cs.CC quant-ph
null
Determining whether a quantum state is separable or entangled is a problem of fundamental importance in quantum information science. This is a brief review in which we consider the problem for states in infinite dimensional Hilbert spaces. We show how the problem becomes tractable for a class of Gaussian states.
[ { "created": "Sun, 12 Mar 2006 14:33:41 GMT", "version": "v1" }, { "created": "Fri, 31 Mar 2006 12:38:49 GMT", "version": "v2" } ]
2007-05-23
[ [ "Mancini", "Stefano", "" ], [ "Severini", "Simone", "" ] ]
Determining whether a quantum state is separable or entangled is a problem of fundamental importance in quantum information science. This is a brief review in which we consider the problem for states in infinite dimensional Hilbert spaces. We show how the problem becomes tractable for a class of Gaussian states.
2211.11039
Jag Mohan Singh
Jag Mohan Singh, Raghavendra Ramachandra
Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
The submitted paper is accepted in IEEE Access 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to generate Composite Face Image Attacks (CFIA) based on facial attributes using Generative Adversarial Networks (GANs). Given the face image...
[ { "created": "Sun, 20 Nov 2022 17:31:52 GMT", "version": "v1" }, { "created": "Thu, 16 Feb 2023 17:41:25 GMT", "version": "v2" }, { "created": "Mon, 20 Mar 2023 20:06:42 GMT", "version": "v3" } ]
2023-03-22
[ [ "Singh", "Jag Mohan", "" ], [ "Ramachandra", "Raghavendra", "" ] ]
Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to generate Composite Face Image Attacks (CFIA) based on facial attributes using Generative Adversarial Networks (GANs). Given the face images ...
1611.04455
Hongyi Liu
Vaidehi Dalmia, Hongyi Liu, Shih-Fu Chang
Columbia MVSO Image Sentiment Dataset
null
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Multilingual Visual Sentiment Ontology (MVSO) consists of 15,600 concepts in 12 different languages that are strongly related to emotions and sentiments expressed in images. These concepts are defined in the form of Adjective-Noun Pair (ANP), which are crawled and discovered from online image forum Flickr. In thi...
[ { "created": "Mon, 14 Nov 2016 16:48:12 GMT", "version": "v1" } ]
2016-11-15
[ [ "Dalmia", "Vaidehi", "" ], [ "Liu", "Hongyi", "" ], [ "Chang", "Shih-Fu", "" ] ]
The Multilingual Visual Sentiment Ontology (MVSO) consists of 15,600 concepts in 12 different languages that are strongly related to emotions and sentiments expressed in images. These concepts are defined in the form of Adjective-Noun Pair (ANP), which are crawled and discovered from online image forum Flickr. In this ...
1901.03489
Chen Qu
Chen Qu, Liu Yang, Bruce Croft, Yongfeng Zhang, Johanne R. Trippas and Minghui Qiu
User Intent Prediction in Information-seeking Conversations
Accepted to CHIIR 2019
null
10.1145/3295750.3298924
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conversational assistants are being progressively adopted by the general population. However, they are not capable of handling complicated information-seeking tasks that involve multiple turns of information exchange. Due to the limited communication bandwidth in conversational search, it is important for conversatio...
[ { "created": "Fri, 11 Jan 2019 05:53:13 GMT", "version": "v1" } ]
2019-01-14
[ [ "Qu", "Chen", "" ], [ "Yang", "Liu", "" ], [ "Croft", "Bruce", "" ], [ "Zhang", "Yongfeng", "" ], [ "Trippas", "Johanne R.", "" ], [ "Qiu", "Minghui", "" ] ]
Conversational assistants are being progressively adopted by the general population. However, they are not capable of handling complicated information-seeking tasks that involve multiple turns of information exchange. Due to the limited communication bandwidth in conversational search, it is important for conversationa...
1701.02710
Subhro Das
Subhro Das and Jos\'e M. F. Moura
Distributed Estimation of Dynamic Fields over Multi-agent Networks
Accepted for publication at ICASSP 2017
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents distributed algorithms for estimation of time-varying random fields over multi-agent/sensor networks. A network of sensors makes sparse and noisy local measurements of the dynamic field. Each sensor aims to obtain unbiased distributed estimates of the entire field with bounded mean-squared error (M...
[ { "created": "Tue, 10 Jan 2017 18:04:16 GMT", "version": "v1" } ]
2017-01-11
[ [ "Das", "Subhro", "" ], [ "Moura", "José M. F.", "" ] ]
This work presents distributed algorithms for estimation of time-varying random fields over multi-agent/sensor networks. A network of sensors makes sparse and noisy local measurements of the dynamic field. Each sensor aims to obtain unbiased distributed estimates of the entire field with bounded mean-squared error (MSE...
1504.04799
Qinghua Guo
Qinghua Guo and Jiangtao Xi
Approximate Message Passing with Unitary Transformation
5 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Approximate message passing (AMP) and its variants, developed based on loopy belief propagation, are attractive for estimating a vector x from a noisy version of z = Ax, which arises in many applications. For a large A with i. i. d. elements, AMP can be characterized by the state evolution and exhibits fast convergen...
[ { "created": "Sun, 19 Apr 2015 06:06:46 GMT", "version": "v1" } ]
2015-04-21
[ [ "Guo", "Qinghua", "" ], [ "Xi", "Jiangtao", "" ] ]
Approximate message passing (AMP) and its variants, developed based on loopy belief propagation, are attractive for estimating a vector x from a noisy version of z = Ax, which arises in many applications. For a large A with i. i. d. elements, AMP can be characterized by the state evolution and exhibits fast convergence...
2404.18928
Michael Luo Zhiyu
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
Stylus: Automatic Adapter Selection for Diffusion Models
Project Website: https://stylus-diffusion.github.io
null
null
null
cs.CV cs.AI cs.CL cs.GR cs.LG
http://creativecommons.org/licenses/by/4.0/
Beyond scaling base models with more data or parameters, fine-tuned adapters provide an alternative way to generate high fidelity, custom images at reduced costs. As such, adapters have been widely adopted by open-source communities, accumulating a database of over 100K adapters-most of which are highly customized wi...
[ { "created": "Mon, 29 Apr 2024 17:59:16 GMT", "version": "v1" } ]
2024-04-30
[ [ "Luo", "Michael", "" ], [ "Wong", "Justin", "" ], [ "Trabucco", "Brandon", "" ], [ "Huang", "Yanping", "" ], [ "Gonzalez", "Joseph E.", "" ], [ "Chen", "Zhifeng", "" ], [ "Salakhutdinov", "Ruslan", "" ], ...
Beyond scaling base models with more data or parameters, fine-tuned adapters provide an alternative way to generate high fidelity, custom images at reduced costs. As such, adapters have been widely adopted by open-source communities, accumulating a database of over 100K adapters-most of which are highly customized with...
2301.08811
Cyrus Neary
Bo Chen and Calvin Hawkins and Mustafa O. Karabag and Cyrus Neary and Matthew Hale and Ufuk Topcu
Differential Privacy in Cooperative Multiagent Planning
null
null
null
null
cs.MA cs.AI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Privacy-aware multiagent systems must protect agents' sensitive data while simultaneously ensuring that agents accomplish their shared objectives. Towards this goal, we propose a framework to privatize inter-agent communications in cooperative multiagent decision-making problems. We study sequential decision-making p...
[ { "created": "Fri, 20 Jan 2023 21:36:57 GMT", "version": "v1" } ]
2023-01-24
[ [ "Chen", "Bo", "" ], [ "Hawkins", "Calvin", "" ], [ "Karabag", "Mustafa O.", "" ], [ "Neary", "Cyrus", "" ], [ "Hale", "Matthew", "" ], [ "Topcu", "Ufuk", "" ] ]
Privacy-aware multiagent systems must protect agents' sensitive data while simultaneously ensuring that agents accomplish their shared objectives. Towards this goal, we propose a framework to privatize inter-agent communications in cooperative multiagent decision-making problems. We study sequential decision-making pro...
2004.04242
Matheus Gadelha
Matheus Gadelha, Rui Wang, Subhransu Maji
Deep Manifold Prior
22 pages, 12 figures
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a prior for manifold structured data, such as surfaces of 3D shapes, where deep neural networks are adopted to reconstruct a target shape using gradient descent starting from a random initialization. We show that surfaces generated this way are smooth, with limiting behavior characterized by Gaussian proce...
[ { "created": "Wed, 8 Apr 2020 20:47:56 GMT", "version": "v1" } ]
2020-04-10
[ [ "Gadelha", "Matheus", "" ], [ "Wang", "Rui", "" ], [ "Maji", "Subhransu", "" ] ]
We present a prior for manifold structured data, such as surfaces of 3D shapes, where deep neural networks are adopted to reconstruct a target shape using gradient descent starting from a random initialization. We show that surfaces generated this way are smooth, with limiting behavior characterized by Gaussian process...
2309.07264
Oliver Johnson
Vivekanand Paligadu and Oliver Johnson and Matthew Aldridge
Small error algorithms for tropical group testing
null
null
null
null
cs.IT math.IT math.PR
http://creativecommons.org/licenses/by/4.0/
We consider a version of the classical group testing problem motivated by PCR testing for COVID-19. In the so-called tropical group testing model, the outcome of a test is the lowest cycle threshold (Ct) level of the individuals pooled within it, rather than a simple binary indicator variable. We introduce the tropic...
[ { "created": "Wed, 13 Sep 2023 18:56:38 GMT", "version": "v1" }, { "created": "Thu, 15 Aug 2024 05:51:13 GMT", "version": "v2" } ]
2024-08-16
[ [ "Paligadu", "Vivekanand", "" ], [ "Johnson", "Oliver", "" ], [ "Aldridge", "Matthew", "" ] ]
We consider a version of the classical group testing problem motivated by PCR testing for COVID-19. In the so-called tropical group testing model, the outcome of a test is the lowest cycle threshold (Ct) level of the individuals pooled within it, rather than a simple binary indicator variable. We introduce the tropical...
1911.11376
Markus Knecht
Markus Knecht
Mandala: A Smart Contract Programming Language
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart contracts on a blockchain behave precisely as specified by their code. A vulnerability in this code can lead to unexpected behaviour, which is hard to fix because a blockchain does not allow to change smart contract code after its deployment. Such vulnerabilities have led to several incidents. In the aftermath ...
[ { "created": "Tue, 26 Nov 2019 07:33:22 GMT", "version": "v1" } ]
2019-11-27
[ [ "Knecht", "Markus", "" ] ]
Smart contracts on a blockchain behave precisely as specified by their code. A vulnerability in this code can lead to unexpected behaviour, which is hard to fix because a blockchain does not allow to change smart contract code after its deployment. Such vulnerabilities have led to several incidents. In the aftermath of...
2103.00902
Bamdev Mishra
Bamdev Mishra, N T V Satyadev, Hiroyuki Kasai, and Pratik Jawanpuria
Manifold optimization for non-linear optimal transport problems
technical report, change is title, addition of experiments
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimal transport (OT) has recently found widespread interest in machine learning. It allows to define novel distances between probability measures, which have shown promise in several applications. In this work, we discuss how to computationally approach general non-linear OT problems within the framework of Riemann...
[ { "created": "Mon, 1 Mar 2021 10:49:19 GMT", "version": "v1" }, { "created": "Fri, 8 Oct 2021 06:01:03 GMT", "version": "v2" } ]
2021-10-11
[ [ "Mishra", "Bamdev", "" ], [ "Satyadev", "N T V", "" ], [ "Kasai", "Hiroyuki", "" ], [ "Jawanpuria", "Pratik", "" ] ]
Optimal transport (OT) has recently found widespread interest in machine learning. It allows to define novel distances between probability measures, which have shown promise in several applications. In this work, we discuss how to computationally approach general non-linear OT problems within the framework of Riemannia...
1705.01226
EPTCS
David M. Russinoff (ARM Ltd.)
A Computationally Surveyable Proof of the Group Properties of an Elliptic Curve
In Proceedings ACL2Workshop 2017, arXiv:1705.00766
EPTCS 249, 2017, pp. 30-46
10.4204/EPTCS.249.3
null
cs.CR math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an elementary proof of the group properties of the elliptic curve known as "Curve25519", as a component of a comprehensive proof of correctness of a hardware implementation of the associated Diffie-Hellman key agreement algorithm. The entire proof has been formalized and mechanically verified with ACL2, an...
[ { "created": "Wed, 3 May 2017 01:48:57 GMT", "version": "v1" } ]
2017-05-04
[ [ "Russinoff", "David M.", "", "ARM Ltd." ] ]
We present an elementary proof of the group properties of the elliptic curve known as "Curve25519", as a component of a comprehensive proof of correctness of a hardware implementation of the associated Diffie-Hellman key agreement algorithm. The entire proof has been formalized and mechanically verified with ACL2, and ...
1202.2037
Lianlin Li Dr
Lianlin Li
Note on RIP-based Co-sparse Analysis
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the past years, there are increasing interests in recovering the signals from undersampling data where such signals are sparse under some orthogonal dictionary or tight framework, which is referred to be sparse synthetic model. More recently, its counterpart, i.e., the sparse analysis model, has also attracted r...
[ { "created": "Thu, 9 Feb 2012 16:34:47 GMT", "version": "v1" } ]
2012-02-10
[ [ "Li", "Lianlin", "" ] ]
Over the past years, there are increasing interests in recovering the signals from undersampling data where such signals are sparse under some orthogonal dictionary or tight framework, which is referred to be sparse synthetic model. More recently, its counterpart, i.e., the sparse analysis model, has also attracted res...
1903.07904
Sadaf Zuhra Ms
Sadaf ul Zuhra, Prasanna Chaporkar, Abhay Karandikar
Resource Allocation for Loss Tolerant Video Streaming in eMBMS
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bandwidth hungry video content has become the dominant contributor to the data traffic world over. Cellular networks are constantly evolving to meet the growing traffic demands. Over the past few years, wireless multicast has been garnering a lot of attention as a means of efficient resource utilization. Multicast tr...
[ { "created": "Tue, 19 Mar 2019 09:39:42 GMT", "version": "v1" } ]
2019-03-20
[ [ "Zuhra", "Sadaf ul", "" ], [ "Chaporkar", "Prasanna", "" ], [ "Karandikar", "Abhay", "" ] ]
Bandwidth hungry video content has become the dominant contributor to the data traffic world over. Cellular networks are constantly evolving to meet the growing traffic demands. Over the past few years, wireless multicast has been garnering a lot of attention as a means of efficient resource utilization. Multicast tran...
2405.11905
Jaewon Son
Jaewon Son, Jaehun Park, Kwangsu Kim
CSTA: CNN-based Spatiotemporal Attention for Video Summarization
Accepted at CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Video summarization aims to generate a concise representation of a video, capturing its essential content and key moments while reducing its overall length. Although several methods employ attention mechanisms to handle long-term dependencies, they often fail to capture the visual significance inherent in frames. To ...
[ { "created": "Mon, 20 May 2024 09:38:37 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 07:04:23 GMT", "version": "v2" } ]
2024-05-22
[ [ "Son", "Jaewon", "" ], [ "Park", "Jaehun", "" ], [ "Kim", "Kwangsu", "" ] ]
Video summarization aims to generate a concise representation of a video, capturing its essential content and key moments while reducing its overall length. Although several methods employ attention mechanisms to handle long-term dependencies, they often fail to capture the visual significance inherent in frames. To ad...
1908.02555
Damien Chablat
Yang Zhang (LS2N, RoMas), Vigen Arakelian (DGMA, LS2N, RoMas), Baptiste Veron (IRT Jules Verne), Damien Chablat (LS2N, ReV)
Key Features of the Coupled Hand-operated Balanced Manipulator (HOBM) and Lightweight Robot (LWR)
null
Advances in Mechanism and Machine Science, pp.2289-2298, 2019
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper deals with coupled systems including hand-operated balanced manipulators and lightweight robots. The aim of such a cooperation is to displace heavy payloads with less powerful robots. In other term, in the coupled system for handling of heavy payloads by a HOBM an operator is replaced by a LWR. The advantag...
[ { "created": "Wed, 7 Aug 2019 12:21:45 GMT", "version": "v1" } ]
2019-08-08
[ [ "Zhang", "Yang", "", "LS2N, RoMas" ], [ "Arakelian", "Vigen", "", "DGMA, LS2N, RoMas" ], [ "Veron", "Baptiste", "", "IRT Jules Verne" ], [ "Chablat", "Damien", "", "LS2N, ReV" ] ]
The paper deals with coupled systems including hand-operated balanced manipulators and lightweight robots. The aim of such a cooperation is to displace heavy payloads with less powerful robots. In other term, in the coupled system for handling of heavy payloads by a HOBM an operator is replaced by a LWR. The advantages...
2202.06262
Rajni Dabas
Rajni Dabas and Neelima Gupta
Locating Charging Stations: Connected, Capacitated and Prize- Collecting
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
In this paper, we study locating charging station problem as facility location problem and its variants ($k$-Median, $k$-Facility location and $k$-center). We study the connectivity and the capacity constraints in these problem. Capacity and connectivity constraints have been studied in the literature separately fo...
[ { "created": "Sun, 13 Feb 2022 08:55:13 GMT", "version": "v1" } ]
2022-02-15
[ [ "Dabas", "Rajni", "" ], [ "Gupta", "Neelima", "" ] ]
In this paper, we study locating charging station problem as facility location problem and its variants ($k$-Median, $k$-Facility location and $k$-center). We study the connectivity and the capacity constraints in these problem. Capacity and connectivity constraints have been studied in the literature separately for al...
1912.00191
Jiankai Sun
Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou
Learning a Decision Module by Imitating Driver's Control Behaviors
Proceedings of the Conference on Robot Learning (CoRL) 2020
null
null
null
cs.AI cs.RO eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous driving systems have a pipeline of perception, decision, planning, and control. The decision module processes information from the perception module and directs the execution of downstream planning and control modules. On the other hand, the recent success of deep learning suggests that this pipeline could...
[ { "created": "Sat, 30 Nov 2019 11:57:35 GMT", "version": "v1" }, { "created": "Wed, 5 May 2021 02:06:49 GMT", "version": "v2" }, { "created": "Thu, 6 May 2021 01:38:16 GMT", "version": "v3" } ]
2021-05-07
[ [ "Huang", "Junning", "" ], [ "Xie", "Sirui", "" ], [ "Sun", "Jiankai", "" ], [ "Ma", "Qiurui", "" ], [ "Liu", "Chunxiao", "" ], [ "Shi", "Jianping", "" ], [ "Lin", "Dahua", "" ], [ "Zhou", "Bolei...
Autonomous driving systems have a pipeline of perception, decision, planning, and control. The decision module processes information from the perception module and directs the execution of downstream planning and control modules. On the other hand, the recent success of deep learning suggests that this pipeline could b...
2310.06947
Roc\'io Carratal\'a-S\'aez
Roc\'io Carratal\'a-S\'aez and Francisco J. and\'ujar and Yuri Torres and Arturo Gonzalez-Escribano and Diego R. Llanos
Open SYCL on heterogeneous GPU systems: A case of study
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Computational platforms for high-performance scientific applications are becoming more heterogenous, including hardware accelerators such as multiple GPUs. Applications in a wide variety of scientific fields require an efficient and careful management of the computational resources of this type of hardware to obtain ...
[ { "created": "Tue, 10 Oct 2023 19:07:52 GMT", "version": "v1" } ]
2023-10-12
[ [ "Carratalá-Sáez", "Rocío", "" ], [ "andújar", "Francisco J.", "" ], [ "Torres", "Yuri", "" ], [ "Gonzalez-Escribano", "Arturo", "" ], [ "Llanos", "Diego R.", "" ] ]
Computational platforms for high-performance scientific applications are becoming more heterogenous, including hardware accelerators such as multiple GPUs. Applications in a wide variety of scientific fields require an efficient and careful management of the computational resources of this type of hardware to obtain th...
1609.00214
Wojciech Czerwi\'nski
Lorenzo Clemente, Wojciech Czerwi\'nski, S{\l}awomir Lasota, Charles Paperman
Separability of Reachability Sets of Vector Addition Systems
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given two families of sets $\mathcal{F}$ and $\mathcal{G}$, the $\mathcal{F}$ separability problem for $\mathcal{G}$ asks whether for two given sets $U, V \in \mathcal{G}$ there exists a set $S \in \mathcal{F}$, such that $U$ is included in $S$ and $V$ is disjoint with $S$. We consider two families of sets $\mathcal{...
[ { "created": "Thu, 1 Sep 2016 12:42:18 GMT", "version": "v1" } ]
2016-09-02
[ [ "Clemente", "Lorenzo", "" ], [ "Czerwiński", "Wojciech", "" ], [ "Lasota", "Sławomir", "" ], [ "Paperman", "Charles", "" ] ]
Given two families of sets $\mathcal{F}$ and $\mathcal{G}$, the $\mathcal{F}$ separability problem for $\mathcal{G}$ asks whether for two given sets $U, V \in \mathcal{G}$ there exists a set $S \in \mathcal{F}$, such that $U$ is included in $S$ and $V$ is disjoint with $S$. We consider two families of sets $\mathcal{F}...
2403.11069
Mohammad Heydari
Mohammad Heydari, Mohsen Khazeni, Mohammad Ali Soltanshahi
Deep Learning-based Sentiment Analysis in Persian Language
7 pages, 5 figures, 4 tables
null
10.1109/ICWR51868.2021.9443152
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recently, there has been a growing interest in the use of deep learning techniques for tasks in natural language processing (NLP), with sentiment analysis being one of the most challenging areas, particularly in the Persian language. The vast amounts of content generated by Persian users on thousands of websites, blo...
[ { "created": "Sun, 17 Mar 2024 03:15:29 GMT", "version": "v1" } ]
2024-03-19
[ [ "Heydari", "Mohammad", "" ], [ "Khazeni", "Mohsen", "" ], [ "Soltanshahi", "Mohammad Ali", "" ] ]
Recently, there has been a growing interest in the use of deep learning techniques for tasks in natural language processing (NLP), with sentiment analysis being one of the most challenging areas, particularly in the Persian language. The vast amounts of content generated by Persian users on thousands of websites, blogs...
1710.04313
Marc Zeitoun
Thomas Place and Marc Zeitoun
Generic Results for Concatenation Hierarchies
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the theory of formal languages, the understanding of concatenation hierarchies of regular languages is one of the most fundamental and challenging topic. In this paper, we survey progress made in the comprehension of this problem since 1971, and we establish new generic statements regarding this problem.
[ { "created": "Wed, 11 Oct 2017 21:38:35 GMT", "version": "v1" } ]
2017-10-13
[ [ "Place", "Thomas", "" ], [ "Zeitoun", "Marc", "" ] ]
In the theory of formal languages, the understanding of concatenation hierarchies of regular languages is one of the most fundamental and challenging topic. In this paper, we survey progress made in the comprehension of this problem since 1971, and we establish new generic statements regarding this problem.
2211.13219
Karolis Martinkus
Jeremia Geiger, Karolis Martinkus, Oliver Richter and Roger Wattenhofer
Automating Rigid Origami Design
IJCAI 2023 AI, Arts & Creativity Special Track
null
null
null
cs.GR cs.AI cs.LG cs.NE cs.RO
http://creativecommons.org/licenses/by/4.0/
Rigid origami has shown potential in large diversity of practical applications. However, current rigid origami crease pattern design mostly relies on known tessellations. This strongly limits the diversity and novelty of patterns that can be created. In this work, we build upon the recently developed principle of thr...
[ { "created": "Sun, 20 Nov 2022 17:13:50 GMT", "version": "v1" }, { "created": "Fri, 28 Apr 2023 12:45:57 GMT", "version": "v2" } ]
2023-05-01
[ [ "Geiger", "Jeremia", "" ], [ "Martinkus", "Karolis", "" ], [ "Richter", "Oliver", "" ], [ "Wattenhofer", "Roger", "" ] ]
Rigid origami has shown potential in large diversity of practical applications. However, current rigid origami crease pattern design mostly relies on known tessellations. This strongly limits the diversity and novelty of patterns that can be created. In this work, we build upon the recently developed principle of three...
2004.11814
Feng Li
Feng Li, Runming Cong, Huihui Bai, and Yifan He
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention
Accepted by the IJCAI-PRICAI 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, Convolutional Neural Networks (CNN) based image super-resolution (SR) have shown significant success in the literature. However, these methods are implemented as single-path stream to enrich feature maps from the input for the final prediction, which fail to fully incorporate former low-level features into ...
[ { "created": "Fri, 24 Apr 2020 15:49:18 GMT", "version": "v1" } ]
2020-04-27
[ [ "Li", "Feng", "" ], [ "Cong", "Runming", "" ], [ "Bai", "Huihui", "" ], [ "He", "Yifan", "" ] ]
Recently, Convolutional Neural Networks (CNN) based image super-resolution (SR) have shown significant success in the literature. However, these methods are implemented as single-path stream to enrich feature maps from the input for the final prediction, which fail to fully incorporate former low-level features into la...
1807.06132
Fatemeh Sadat Saleh
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
Accepted in European Conference on Computer Vision (ECCV), 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Training a deep network to perform semantic segmentation requires large amounts of labeled data. To alleviate the manual effort of annotating real images, researchers have investigated the use of synthetic data, which can be labeled automatically. Unfortunately, a network trained on synthetic data performs relatively...
[ { "created": "Mon, 16 Jul 2018 22:10:09 GMT", "version": "v1" } ]
2018-07-18
[ [ "Saleh", "Fatemeh Sadat", "" ], [ "Aliakbarian", "Mohammad Sadegh", "" ], [ "Salzmann", "Mathieu", "" ], [ "Petersson", "Lars", "" ], [ "Alvarez", "Jose M.", "" ] ]
Training a deep network to perform semantic segmentation requires large amounts of labeled data. To alleviate the manual effort of annotating real images, researchers have investigated the use of synthetic data, which can be labeled automatically. Unfortunately, a network trained on synthetic data performs relatively p...
2102.06228
Vidyadhar Upadhya
Vidyadhar Upadhya and P S Sastry
Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization
Submitted to IEEE-TNNLS
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The Gaussian-Bernoulli restricted Boltzmann machine (GB-RBM) is a useful generative model that captures meaningful features from the given $n$-dimensional continuous data. The difficulties associated with learning GB-RBM are reported extensively in earlier studies. They indicate that the training of the GB-RBM using ...
[ { "created": "Thu, 11 Feb 2021 19:15:54 GMT", "version": "v1" } ]
2021-02-15
[ [ "Upadhya", "Vidyadhar", "" ], [ "Sastry", "P S", "" ] ]
The Gaussian-Bernoulli restricted Boltzmann machine (GB-RBM) is a useful generative model that captures meaningful features from the given $n$-dimensional continuous data. The difficulties associated with learning GB-RBM are reported extensively in earlier studies. They indicate that the training of the GB-RBM using th...
2010.13198
Klaus Schneider
Klaus Schneider, Beichuan Zhang, Van Sy Mai, Lotfi Benmohamed
The Case for Hop-by-Hop Traffic Engineering
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State-of-the-art Internet traffic engineering uses source-based explicit routing via MPLS or Segment Routing. Though widely adopted in practice, source routing can face certain inefficiencies and operational issues, caused by its use of bandwidth reservations. In this work, we make the case for Hop-by-Hop (HBH) Tra...
[ { "created": "Sun, 25 Oct 2020 19:14:33 GMT", "version": "v1" } ]
2020-10-27
[ [ "Schneider", "Klaus", "" ], [ "Zhang", "Beichuan", "" ], [ "Mai", "Van Sy", "" ], [ "Benmohamed", "Lotfi", "" ] ]
State-of-the-art Internet traffic engineering uses source-based explicit routing via MPLS or Segment Routing. Though widely adopted in practice, source routing can face certain inefficiencies and operational issues, caused by its use of bandwidth reservations. In this work, we make the case for Hop-by-Hop (HBH) Traffic...
2406.18459
Younghyun Kim
Younghyun Kim, Geunmin Hwang, Junyu Zhang, Eunbyung Park
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent surge in large-scale generative models has spurred the development of vast fields in computer vision. In particular, text-to-image diffusion models have garnered widespread adoption across diverse domain due to their potential for high-fidelity image generation. Nonetheless, existing large-scale diffusion mode...
[ { "created": "Wed, 26 Jun 2024 16:10:31 GMT", "version": "v1" }, { "created": "Mon, 8 Jul 2024 06:06:53 GMT", "version": "v2" }, { "created": "Wed, 10 Jul 2024 06:18:13 GMT", "version": "v3" }, { "created": "Thu, 11 Jul 2024 15:03:44 GMT", "version": "v4" } ]
2024-07-12
[ [ "Kim", "Younghyun", "" ], [ "Hwang", "Geunmin", "" ], [ "Zhang", "Junyu", "" ], [ "Park", "Eunbyung", "" ] ]
Recent surge in large-scale generative models has spurred the development of vast fields in computer vision. In particular, text-to-image diffusion models have garnered widespread adoption across diverse domain due to their potential for high-fidelity image generation. Nonetheless, existing large-scale diffusion models...
2303.07470
Shrihari Sridharan
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy and Anand Raghunathan
X-Former: In-Memory Acceleration of Transformers
null
null
null
null
cs.LG cs.AR
http://creativecommons.org/licenses/by/4.0/
Transformers have achieved great success in a wide variety of natural language processing (NLP) tasks due to the attention mechanism, which assigns an importance score for every word relative to other words in a sequence. However, these models are very large, often reaching hundreds of billions of parameters, and the...
[ { "created": "Mon, 13 Mar 2023 21:11:54 GMT", "version": "v1" } ]
2023-03-15
[ [ "Sridharan", "Shrihari", "" ], [ "Stevens", "Jacob R.", "" ], [ "Roy", "Kaushik", "" ], [ "Raghunathan", "Anand", "" ] ]
Transformers have achieved great success in a wide variety of natural language processing (NLP) tasks due to the attention mechanism, which assigns an importance score for every word relative to other words in a sequence. However, these models are very large, often reaching hundreds of billions of parameters, and there...
2102.00849
Muhammad Umer Gurchani
Muhammad Umer Gurchani
Crawling political communities in Twitter and extracting political affiliations
22 Pages
null
null
null
cs.SI
http://creativecommons.org/licenses/by-sa/4.0/
In theory, a major advantage to the big data approach in studying online communities is that it should be possible to collect a representative random sample from a broadly defined population. However, in practice, data collection processes are not formalized, even for famous social media platforms such as Twitter and...
[ { "created": "Mon, 1 Feb 2021 13:57:48 GMT", "version": "v1" } ]
2021-02-02
[ [ "Gurchani", "Muhammad Umer", "" ] ]
In theory, a major advantage to the big data approach in studying online communities is that it should be possible to collect a representative random sample from a broadly defined population. However, in practice, data collection processes are not formalized, even for famous social media platforms such as Twitter and F...
2304.05632
Haozhi Wang
Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
Multi-agent Policy Reciprocity with Theoretical Guarantee
null
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern multi-agent reinforcement learning (RL) algorithms hold great potential for solving a variety of real-world problems. However, they do not fully exploit cross-agent knowledge to reduce sample complexity and improve performance. Although transfer RL supports knowledge sharing, it is hyperparameter sensitive and...
[ { "created": "Wed, 12 Apr 2023 06:27:10 GMT", "version": "v1" } ]
2023-04-13
[ [ "Wang", "Haozhi", "" ], [ "Li", "Yinchuan", "" ], [ "Wang", "Qing", "" ], [ "Shao", "Yunfeng", "" ], [ "Hao", "Jianye", "" ] ]
Modern multi-agent reinforcement learning (RL) algorithms hold great potential for solving a variety of real-world problems. However, they do not fully exploit cross-agent knowledge to reduce sample complexity and improve performance. Although transfer RL supports knowledge sharing, it is hyperparameter sensitive and c...
2309.05550
Levent Aksoy
Levent Aksoy and Debapriya Basu Roy and Malik Imran and Samuel Pagliarini
Multiplierless Design of High-Speed Very Large Constant Multiplications
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
In cryptographic algorithms, the constants to be multiplied by a variable can be very large due to security requirements. Thus, the hardware complexity of such algorithms heavily depends on the design architecture handling large constants. In this paper, we introduce an electronic design automation tool, called LEIGE...
[ { "created": "Mon, 11 Sep 2023 15:35:02 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 06:30:00 GMT", "version": "v2" } ]
2023-09-13
[ [ "Aksoy", "Levent", "" ], [ "Roy", "Debapriya Basu", "" ], [ "Imran", "Malik", "" ], [ "Pagliarini", "Samuel", "" ] ]
In cryptographic algorithms, the constants to be multiplied by a variable can be very large due to security requirements. Thus, the hardware complexity of such algorithms heavily depends on the design architecture handling large constants. In this paper, we introduce an electronic design automation tool, called LEIGER,...
2007.05196
Matthias Hutsebaut-Buysse
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latr\'e
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
Paper accepted to the ICML 2020 Language in Reinforcement Learning (LaReL) Workshop
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning (RL) algorithms typically start tabula rasa, without any prior knowledge of the environment, and without any prior skills. This however often leads to low sample efficiency, requiring a large amount of interaction with the environment. This is especially true in a lifelong learning setting, in ...
[ { "created": "Fri, 10 Jul 2020 06:42:00 GMT", "version": "v1" } ]
2020-07-13
[ [ "Hutsebaut-Buysse", "Matthias", "" ], [ "Mets", "Kevin", "" ], [ "Latré", "Steven", "" ] ]
Reinforcement learning (RL) algorithms typically start tabula rasa, without any prior knowledge of the environment, and without any prior skills. This however often leads to low sample efficiency, requiring a large amount of interaction with the environment. This is especially true in a lifelong learning setting, in wh...
1901.00707
Huaiping Ming
Huaiping Ming, Lei He, Haohan Guo, Frank K. Soong
Feature reinforcement with word embedding and parsing information in neural TTS
null
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a feature reinforcement method under the sequence-to-sequence neural text-to-speech (TTS) synthesis framework. The proposed method utilizes the multiple input encoder to take three levels of text information, i.e., phoneme sequence, pre-trained word embedding, and grammatical structure of se...
[ { "created": "Thu, 3 Jan 2019 13:15:19 GMT", "version": "v1" }, { "created": "Wed, 6 Mar 2019 15:24:38 GMT", "version": "v2" } ]
2019-03-07
[ [ "Ming", "Huaiping", "" ], [ "He", "Lei", "" ], [ "Guo", "Haohan", "" ], [ "Soong", "Frank K.", "" ] ]
In this paper, we propose a feature reinforcement method under the sequence-to-sequence neural text-to-speech (TTS) synthesis framework. The proposed method utilizes the multiple input encoder to take three levels of text information, i.e., phoneme sequence, pre-trained word embedding, and grammatical structure of sent...
2304.00813
Chi Zhang
Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang
Model-Agnostic Reachability Analysis on Deep Neural Networks
PAKDD 2023
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Verification plays an essential role in the formal analysis of safety-critical systems. Most current verification methods have specific requirements when working on Deep Neural Networks (DNNs). They either target one particular network category, e.g., Feedforward Neural Networks (FNNs), or networks with specific acti...
[ { "created": "Mon, 3 Apr 2023 09:01:59 GMT", "version": "v1" } ]
2023-04-04
[ [ "Zhang", "Chi", "" ], [ "Ruan", "Wenjie", "" ], [ "Wang", "Fu", "" ], [ "Xu", "Peipei", "" ], [ "Min", "Geyong", "" ], [ "Huang", "Xiaowei", "" ] ]
Verification plays an essential role in the formal analysis of safety-critical systems. Most current verification methods have specific requirements when working on Deep Neural Networks (DNNs). They either target one particular network category, e.g., Feedforward Neural Networks (FNNs), or networks with specific activa...
2111.04525
Wentao Lu
Wentao Lu, Claude Sammut
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Semantic segmentation has attracted a large amount of attention in recent years. In robotics, segmentation can be used to identify a region of interest, or \emph{target area}. For example, in the RoboCup Standard Platform League (SPL), segmentation separates the soccer field from the background and from players on th...
[ { "created": "Mon, 8 Nov 2021 14:18:45 GMT", "version": "v1" } ]
2021-11-09
[ [ "Lu", "Wentao", "" ], [ "Sammut", "Claude", "" ] ]
Semantic segmentation has attracted a large amount of attention in recent years. In robotics, segmentation can be used to identify a region of interest, or \emph{target area}. For example, in the RoboCup Standard Platform League (SPL), segmentation separates the soccer field from the background and from players on the ...
1910.04907
Gourav Datta
Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel
Metastability-Resilient Synchronization FIFO for SFQ Logic
Accepted in ISEC 2019
null
null
null
cs.ET physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital single-flux quantum (SFQ) technology promises to meet the demands of ultra low power and high speed computing needed for future exascale supercomputing systems. The combination of ultra high clock frequencies, gate-level pipelines, and numerous sources of variability in SFQ circuits, however, make low-skew gl...
[ { "created": "Thu, 10 Oct 2019 23:17:06 GMT", "version": "v1" }, { "created": "Wed, 23 Oct 2019 21:47:03 GMT", "version": "v2" } ]
2019-10-25
[ [ "Datta", "Gourav", "" ], [ "Cong", "Haolin", "" ], [ "Kundu", "Souvik", "" ], [ "Beerel", "Peter A.", "" ] ]
Digital single-flux quantum (SFQ) technology promises to meet the demands of ultra low power and high speed computing needed for future exascale supercomputing systems. The combination of ultra high clock frequencies, gate-level pipelines, and numerous sources of variability in SFQ circuits, however, make low-skew glob...
1906.04547
Alex Hern\'andez Garc\'ia
Alex Hern\'andez-Garc\'ia, Peter K\"onig, Tim C. Kietzmann
Learning robust visual representations using data augmentation invariance
6 pages, 2 figures, work in progress
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep convolutional neural networks trained for image object categorization have shown remarkable similarities with representations found across the primate ventral visual stream. Yet, artificial and biological networks still exhibit important differences. Here we investigate one such property: increasing invariance t...
[ { "created": "Tue, 11 Jun 2019 13:03:19 GMT", "version": "v1" } ]
2019-06-12
[ [ "Hernández-García", "Alex", "" ], [ "König", "Peter", "" ], [ "Kietzmann", "Tim C.", "" ] ]
Deep convolutional neural networks trained for image object categorization have shown remarkable similarities with representations found across the primate ventral visual stream. Yet, artificial and biological networks still exhibit important differences. Here we investigate one such property: increasing invariance to ...
1809.10336
Tao Ma
Tao Ma
Multi-task Learning for Financial Forecasting
The methods and results of this paper have been proved to be wrong. So we want to withdraw it to keep others from following the wrong results
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Financial forecasting is challenging and attractive in machine learning. There are many classic solutions, as well as many deep learning based methods, proposed to deal with it yielding encouraging performance. Stock time series forecasting is the most representative problem in financial forecasting. Due to the stron...
[ { "created": "Thu, 27 Sep 2018 04:03:03 GMT", "version": "v1" }, { "created": "Sat, 15 Dec 2018 14:25:41 GMT", "version": "v2" }, { "created": "Tue, 22 Jan 2019 09:19:22 GMT", "version": "v3" } ]
2019-01-23
[ [ "Ma", "Tao", "" ] ]
Financial forecasting is challenging and attractive in machine learning. There are many classic solutions, as well as many deep learning based methods, proposed to deal with it yielding encouraging performance. Stock time series forecasting is the most representative problem in financial forecasting. Due to the strong ...
1607.00501
Le Dong
Le Dong, Na Lv, Qianni Zhang, Shanshan Xie, Ling He, Mengdie Mao
A Distributed Deep Representation Learning Model for Big Image Data Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes an effective and efficient image classification framework nominated distributed deep representation learning model (DDRL). The aim is to strike the balance between the computational intensive deep learning approaches (tuned parameters) which are intended for distributed computing, and the approac...
[ { "created": "Sat, 2 Jul 2016 12:33:12 GMT", "version": "v1" } ]
2016-07-05
[ [ "Dong", "Le", "" ], [ "Lv", "Na", "" ], [ "Zhang", "Qianni", "" ], [ "Xie", "Shanshan", "" ], [ "He", "Ling", "" ], [ "Mao", "Mengdie", "" ] ]
This paper describes an effective and efficient image classification framework nominated distributed deep representation learning model (DDRL). The aim is to strike the balance between the computational intensive deep learning approaches (tuned parameters) which are intended for distributed computing, and the approache...
2002.10420
Fahad Sohrab
Fahad Sohrab, Jenni Raitoharju
Boosting rare benthic macroinvertebrates taxa identification with one-class classification
5 pages, 1 figure, 2 tables
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
10.1109/SSCI47803.2020.9308359
null
cs.CV cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Insect monitoring is crucial for understanding the consequences of rapid ecological changes, but taxa identification currently requires tedious manual expert work and cannot be scaled-up efficiently. Deep convolutional neural networks (CNNs), provide a viable way to significantly increase the biomonitoring volumes. H...
[ { "created": "Wed, 12 Feb 2020 09:46:24 GMT", "version": "v1" } ]
2021-01-07
[ [ "Sohrab", "Fahad", "" ], [ "Raitoharju", "Jenni", "" ] ]
Insect monitoring is crucial for understanding the consequences of rapid ecological changes, but taxa identification currently requires tedious manual expert work and cannot be scaled-up efficiently. Deep convolutional neural networks (CNNs), provide a viable way to significantly increase the biomonitoring volumes. How...
1907.00967
David Hofbauer MSc
David Hofbauer, Christoph Schmittner, Manuela Brandstetter, Markus Tauber
Autonomous CPS mobility securely designed
The 5th IEEE International workshop on Communication, Computing, and Networking in Cyber Physical Systems (CCNCPS 2019) in association with 20th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2019) - Washington D.C., USA;
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last years the interconnection and ongoing development of physical systems combined with cyber resources has led to increasing automation. Through this progress in technology, autonomous vehicles, especially autonomous trains are getting more attention from industry and are already under test. The use of auton...
[ { "created": "Tue, 2 Jul 2019 11:22:34 GMT", "version": "v1" } ]
2019-07-03
[ [ "Hofbauer", "David", "" ], [ "Schmittner", "Christoph", "" ], [ "Brandstetter", "Manuela", "" ], [ "Tauber", "Markus", "" ] ]
In the last years the interconnection and ongoing development of physical systems combined with cyber resources has led to increasing automation. Through this progress in technology, autonomous vehicles, especially autonomous trains are getting more attention from industry and are already under test. The use of autonom...
2407.15964
David Keaton
David Keaton, Amol S. Joshi, Jeremy Dawson, Nasser M. Nasrabadi
FDWST: Fingerphoto Deblurring using Wavelet Style Transfer
Accepted by IJCB 2024
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-sa/4.0/
The challenge of deblurring fingerphoto images, or generating a sharp fingerphoto from a given blurry one, is a significant problem in the realm of computer vision. To address this problem, we propose a fingerphoto deblurring architecture referred to as Fingerphoto Deblurring using Wavelet Style Transfer (FDWST), whi...
[ { "created": "Mon, 22 Jul 2024 18:26:43 GMT", "version": "v1" } ]
2024-07-24
[ [ "Keaton", "David", "" ], [ "Joshi", "Amol S.", "" ], [ "Dawson", "Jeremy", "" ], [ "Nasrabadi", "Nasser M.", "" ] ]
The challenge of deblurring fingerphoto images, or generating a sharp fingerphoto from a given blurry one, is a significant problem in the realm of computer vision. To address this problem, we propose a fingerphoto deblurring architecture referred to as Fingerphoto Deblurring using Wavelet Style Transfer (FDWST), which...
1911.13162
Alexander Preuhs
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier
Deep autofocus with cone-beam CT consistency constraint
Accepted at BVM 2020, review score under Top-6 of the conference
null
null
null
cs.LG cs.CV eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High quality reconstruction with interventional C-arm cone-beam computed tomography (CBCT) requires exact geometry information. If the geometry information is corrupted, e. g., by unexpected patient or system movement, the measured signal is misplaced in the backprojection operation. With prolonged acquisition times ...
[ { "created": "Fri, 29 Nov 2019 15:54:38 GMT", "version": "v1" }, { "created": "Mon, 2 Dec 2019 12:17:44 GMT", "version": "v2" }, { "created": "Wed, 4 Dec 2019 21:43:50 GMT", "version": "v3" } ]
2019-12-06
[ [ "Preuhs", "Alexander", "" ], [ "Manhart", "Michael", "" ], [ "Roser", "Philipp", "" ], [ "Stimpel", "Bernhard", "" ], [ "Syben", "Christopher", "" ], [ "Psychogios", "Marios", "" ], [ "Kowarschik", "Markus", ...
High quality reconstruction with interventional C-arm cone-beam computed tomography (CBCT) requires exact geometry information. If the geometry information is corrupted, e. g., by unexpected patient or system movement, the measured signal is misplaced in the backprojection operation. With prolonged acquisition times of...
2012.14349
Filip Biljecki
Abraham Noah Wu, Filip Biljecki
Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainability
null
Landscape and Urban Planning 214: 104167, 2021
10.1016/j.landurbplan.2021.104167
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of cities. However, research on sustainable urban roofscapes is rather focused on their potential and it is hindered by the scarcity of data, limiting our understanding of their current ...
[ { "created": "Tue, 22 Dec 2020 13:34:50 GMT", "version": "v1" }, { "created": "Fri, 2 Apr 2021 23:59:10 GMT", "version": "v2" }, { "created": "Fri, 14 May 2021 08:02:59 GMT", "version": "v3" }, { "created": "Thu, 24 Jun 2021 12:20:27 GMT", "version": "v4" } ]
2021-06-25
[ [ "Wu", "Abraham Noah", "" ], [ "Biljecki", "Filip", "" ] ]
Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of cities. However, research on sustainable urban roofscapes is rather focused on their potential and it is hindered by the scarcity of data, limiting our understanding of their current co...
1602.05741
Alexis Decurninge
Alexis Decurninge and Maxime Guillaud and Dirk Slock
Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems
6 pages in Globecom, "From theory to practice" workshop, December 2015
null
null
null
cs.IT math.IT stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel reciprocity does not hold, and it is generally expected that covariance information...
[ { "created": "Thu, 18 Feb 2016 10:15:14 GMT", "version": "v1" } ]
2016-02-19
[ [ "Decurninge", "Alexis", "" ], [ "Guillaud", "Maxime", "" ], [ "Slock", "Dirk", "" ] ]
Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel reciprocity does not hold, and it is generally expected that covariance information a...
1303.1418
Merrick McCracken
Merrick McCracken, Maurizio Bocca, Neal Patwari
Joint Ultra-wideband and Signal Strength-based Through-building Tracking for Tactical Operations
9 pages, conference submission
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate device free localization (DFL) based on received signal strength (RSS) measurements requires placement of radio transceivers on all sides of the target area. Accuracy degrades dramatically if sensors do not surround the area. However, law enforcement officers sometimes face situations where it is not possibl...
[ { "created": "Wed, 6 Mar 2013 18:38:48 GMT", "version": "v1" } ]
2013-03-07
[ [ "McCracken", "Merrick", "" ], [ "Bocca", "Maurizio", "" ], [ "Patwari", "Neal", "" ] ]
Accurate device free localization (DFL) based on received signal strength (RSS) measurements requires placement of radio transceivers on all sides of the target area. Accuracy degrades dramatically if sensors do not surround the area. However, law enforcement officers sometimes face situations where it is not possible ...
2308.08934
Limin Wang
Limin Wang, Masatoshi Hanai, Toyotaro Suzumura, Shun Takashige, Kenjiro Taura
On Data Imbalance in Molecular Property Prediction with Pre-training
null
null
null
null
cs.LG cond-mat.mtrl-sci
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Revealing and analyzing the various properties of materials is an essential and critical issue in the development of materials, including batteries, semiconductors, catalysts, and pharmaceuticals. Traditionally, these properties have been determined through theoretical calculations and simulations. However, it is not...
[ { "created": "Thu, 17 Aug 2023 12:04:14 GMT", "version": "v1" } ]
2023-08-21
[ [ "Wang", "Limin", "" ], [ "Hanai", "Masatoshi", "" ], [ "Suzumura", "Toyotaro", "" ], [ "Takashige", "Shun", "" ], [ "Taura", "Kenjiro", "" ] ]
Revealing and analyzing the various properties of materials is an essential and critical issue in the development of materials, including batteries, semiconductors, catalysts, and pharmaceuticals. Traditionally, these properties have been determined through theoretical calculations and simulations. However, it is not p...
2211.07844
Michael Murray
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar
Characterizing the Spectrum of the NTK via a Power Series Expansion
55 pages, 3 Figures, 1 Table
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Under mild conditions on the network initialization we derive a power series expansion for the Neural Tangent Kernel (NTK) of arbitrarily deep feedforward networks in the infinite width limit. We provide expressions for the coefficients of this power series which depend on both the Hermite coefficients of the activat...
[ { "created": "Tue, 15 Nov 2022 02:01:41 GMT", "version": "v1" }, { "created": "Wed, 18 Jan 2023 23:47:25 GMT", "version": "v2" }, { "created": "Tue, 21 Feb 2023 19:49:18 GMT", "version": "v3" }, { "created": "Tue, 28 Feb 2023 19:27:25 GMT", "version": "v4" } ]
2023-03-02
[ [ "Murray", "Michael", "" ], [ "Jin", "Hui", "" ], [ "Bowman", "Benjamin", "" ], [ "Montufar", "Guido", "" ] ]
Under mild conditions on the network initialization we derive a power series expansion for the Neural Tangent Kernel (NTK) of arbitrarily deep feedforward networks in the infinite width limit. We provide expressions for the coefficients of this power series which depend on both the Hermite coefficients of the activatio...
2111.02529
Theodore Heiser
Theodore James Thibault Heiser, Mari-Liis Allikivi, Meelis Kull
Shift Happens: Adjusting Classifiers
ECML PKDD 2019 conference paper, 16 pages
ECML PKDD 2019. Lecture Notes in Computer Science, vol 11907. Springer, Cham (2020)
10.1007/978-3-030-46147-8_4
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Minimizing expected loss measured by a proper scoring rule, such as Brier score or log-loss (cross-entropy), is a common objective while training a probabilistic classifier. If the data have experienced dataset shift where the class distributions change post-training, then often the model's performance will decrease,...
[ { "created": "Wed, 3 Nov 2021 21:27:27 GMT", "version": "v1" } ]
2021-11-05
[ [ "Heiser", "Theodore James Thibault", "" ], [ "Allikivi", "Mari-Liis", "" ], [ "Kull", "Meelis", "" ] ]
Minimizing expected loss measured by a proper scoring rule, such as Brier score or log-loss (cross-entropy), is a common objective while training a probabilistic classifier. If the data have experienced dataset shift where the class distributions change post-training, then often the model's performance will decrease, o...
1510.02836
Mauricio Toro
Mauricio Toro and Myriam Desainte-Catherine and Pascal Baltazar
A Model for Interactive Scores with Temporal Constraints and Conditional Branching
14 pages, extended version of conference paper on Journ\'ees de INformatique Musicale 2010
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive Scores (IS) are a formalism for the design and performance of interactive multimedia scenarios. IS provide temporal relations (TR), but they cannot represent conditional branching and TRs simultaneously. We propose an extension to Allombert et al.'s IS model by including a condition on the TRs. We found o...
[ { "created": "Fri, 9 Oct 2015 22:08:08 GMT", "version": "v1" } ]
2015-10-13
[ [ "Toro", "Mauricio", "" ], [ "Desainte-Catherine", "Myriam", "" ], [ "Baltazar", "Pascal", "" ] ]
Interactive Scores (IS) are a formalism for the design and performance of interactive multimedia scenarios. IS provide temporal relations (TR), but they cannot represent conditional branching and TRs simultaneously. We propose an extension to Allombert et al.'s IS model by including a condition on the TRs. We found out...
1107.4684
Bas van Vlijmen
J.A. Bergstra, G.P.A.J. Delen, S.F.M. van Vlijmen
Introducing Sourcements
null
null
null
null
cs.SE cs.GL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sourcing processes are discussed at a high abstraction level. A dedicated terminology is developed concerning general aspects of sourcing. The term sourcement is coined to denote a building block for sourcing. No- tions of allocation, functional architecture and allocational architecture, equilibrium, and configurati...
[ { "created": "Sat, 23 Jul 2011 12:12:12 GMT", "version": "v1" } ]
2011-07-26
[ [ "Bergstra", "J. A.", "" ], [ "Delen", "G. P. A. J.", "" ], [ "van Vlijmen", "S. F. M.", "" ] ]
Sourcing processes are discussed at a high abstraction level. A dedicated terminology is developed concerning general aspects of sourcing. The term sourcement is coined to denote a building block for sourcing. No- tions of allocation, functional architecture and allocational architecture, equilibrium, and configuration...
1801.00254
Youngsam Kim
Youngsam Kim, Hyopil Shin
A New Approach for Measuring Sentiment Orientation based on Multi-Dimensional Vector Space
8 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study implements a vector space model approach to measure the sentiment orientations of words. Two representative vectors for positive/negative polarity are constructed using high-dimensional vec-tor space in both an unsupervised and a semi-supervised manner. A sentiment ori-entation value per word is determined...
[ { "created": "Sun, 31 Dec 2017 08:44:51 GMT", "version": "v1" } ]
2018-01-03
[ [ "Kim", "Youngsam", "" ], [ "Shin", "Hyopil", "" ] ]
This study implements a vector space model approach to measure the sentiment orientations of words. Two representative vectors for positive/negative polarity are constructed using high-dimensional vec-tor space in both an unsupervised and a semi-supervised manner. A sentiment ori-entation value per word is determined b...
1705.03242
Farbod Kayhan
Guido Montorsi and Farbod Kayhan
Low Complexity Two-Stage Soft/Hard Decoders
Submitted to IEEE Transaction on Communications, 18 pages, 7 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Next generation wireless systems will need higher spectral efficiency as the expected traffic volumes per unit bandwidth and dimension will inevitably grow. As a consequence, it is necessary to design coding schemes with performances close to the theoretical limits, having high flexibility and low complexity requirem...
[ { "created": "Tue, 9 May 2017 09:19:58 GMT", "version": "v1" } ]
2017-05-10
[ [ "Montorsi", "Guido", "" ], [ "Kayhan", "Farbod", "" ] ]
Next generation wireless systems will need higher spectral efficiency as the expected traffic volumes per unit bandwidth and dimension will inevitably grow. As a consequence, it is necessary to design coding schemes with performances close to the theoretical limits, having high flexibility and low complexity requiremen...
1911.07657
Minjia Shi
Minjia Shi, Tor Helleseth and Patrick Sole
Two-weight codes over the integers modulo a prime power
null
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $p$ be a prime number. Irreducible cyclic codes of length $p^2-1$ and dimension $2$ over the integers modulo $p^h$ are shown to have exactly two nonzero Hamming weights. The construction uses the Galois ring of characteristic $p^h$ and order $p^{2h}.$ When the check polynomial is primitive, the code meets the Gri...
[ { "created": "Fri, 15 Nov 2019 02:01:54 GMT", "version": "v1" } ]
2019-11-19
[ [ "Shi", "Minjia", "" ], [ "Helleseth", "Tor", "" ], [ "Sole", "Patrick", "" ] ]
Let $p$ be a prime number. Irreducible cyclic codes of length $p^2-1$ and dimension $2$ over the integers modulo $p^h$ are shown to have exactly two nonzero Hamming weights. The construction uses the Galois ring of characteristic $p^h$ and order $p^{2h}.$ When the check polynomial is primitive, the code meets the Gries...
1511.01293
Leonardo Parisi
Andrea Cavagna, Chiara Creato, Lorenzo Del Castello, Stefania Melillo, Leonardo Parisi, Massimiliano Viale
Towards a tracking algorithm based on the clustering of spatio-temporal clouds of points
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The interest in 3D dynamical tracking is growing in fields such as robotics, biology and fluid dynamics. Recently, a major source of progress in 3D tracking has been the study of collective behaviour in biological systems, where the trajectories of individual animals moving within large and dense groups need to be re...
[ { "created": "Wed, 4 Nov 2015 11:20:51 GMT", "version": "v1" } ]
2015-11-05
[ [ "Cavagna", "Andrea", "" ], [ "Creato", "Chiara", "" ], [ "Del Castello", "Lorenzo", "" ], [ "Melillo", "Stefania", "" ], [ "Parisi", "Leonardo", "" ], [ "Viale", "Massimiliano", "" ] ]
The interest in 3D dynamical tracking is growing in fields such as robotics, biology and fluid dynamics. Recently, a major source of progress in 3D tracking has been the study of collective behaviour in biological systems, where the trajectories of individual animals moving within large and dense groups need to be reco...
2212.08658
Frederic Guerrero-Sol\'e
Frederic Guerrero-Sole
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects
29 pages
null
null
null
cs.AI cs.CY cs.HC
http://creativecommons.org/licenses/by/4.0/
Artificial Intelligence (AI) is transforming all fields of knowledge and production. From surgery, autonomous driving, to image and video creation, AI seems to make possible hitherto unimaginable processes of automation and efficient creation. Media and communication are not an exception, and we are currently witness...
[ { "created": "Tue, 13 Dec 2022 19:48:38 GMT", "version": "v1" } ]
2022-12-20
[ [ "Guerrero-Sole", "Frederic", "" ] ]
Artificial Intelligence (AI) is transforming all fields of knowledge and production. From surgery, autonomous driving, to image and video creation, AI seems to make possible hitherto unimaginable processes of automation and efficient creation. Media and communication are not an exception, and we are currently witnessin...
2308.16382
Xiao Wang
Xiao Wang, Fang Dai, Wenyan Guo, Junfeng Wang
A stochastic block model for community detection in attributed networks
null
null
null
null
cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Community detection is an important content in complex network analysis. The existing community detection methods in attributed networks mostly focus on only using network structure, while the methods of integrating node attributes is mainly for the traditional community structures, and cannot detect multipartite str...
[ { "created": "Thu, 31 Aug 2023 01:00:24 GMT", "version": "v1" } ]
2023-09-01
[ [ "Wang", "Xiao", "" ], [ "Dai", "Fang", "" ], [ "Guo", "Wenyan", "" ], [ "Wang", "Junfeng", "" ] ]
Community detection is an important content in complex network analysis. The existing community detection methods in attributed networks mostly focus on only using network structure, while the methods of integrating node attributes is mainly for the traditional community structures, and cannot detect multipartite struc...
1803.05396
Carla Groenland
Carla Groenland and Karolina Okrasa and Pawel Rz\k{a}\.zewski and Alex Scott and Paul Seymour and Sophie Spirkl
$H$-colouring $P_t$-free graphs in subexponential time
Fixed some typo's
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A graph is called $P_t$-free if it does not contain the path on $t$ vertices as an induced subgraph. Let $H$ be a multigraph with the property that any two distinct vertices share at most one common neighbour. We show that the generating function for (list) graph homomorphisms from $G$ to $H$ can be calculated in sub...
[ { "created": "Wed, 14 Mar 2018 16:45:27 GMT", "version": "v1" }, { "created": "Thu, 10 May 2018 07:18:57 GMT", "version": "v2" }, { "created": "Fri, 22 Mar 2019 15:33:04 GMT", "version": "v3" } ]
2019-03-25
[ [ "Groenland", "Carla", "" ], [ "Okrasa", "Karolina", "" ], [ "Rzążewski", "Pawel", "" ], [ "Scott", "Alex", "" ], [ "Seymour", "Paul", "" ], [ "Spirkl", "Sophie", "" ] ]
A graph is called $P_t$-free if it does not contain the path on $t$ vertices as an induced subgraph. Let $H$ be a multigraph with the property that any two distinct vertices share at most one common neighbour. We show that the generating function for (list) graph homomorphisms from $G$ to $H$ can be calculated in subex...
2212.06146
Audrey Der
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn Keogh
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
Accepted at IEEE ICKG 2022. (Previously entitled IEEE ICBK.) Abridged abstract as per arxiv's requirements
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The most useful data mining primitives are distance measures. With an effective distance measure, it is possible to perform classification, clustering, anomaly detection, segmentation, etc. For single-event time series Euclidean Distance and Dynamic Time Warping distance are known to be extremely effective. However, ...
[ { "created": "Fri, 9 Dec 2022 23:02:23 GMT", "version": "v1" } ]
2022-12-14
[ [ "Der", "Audrey", "" ], [ "Yeh", "Chin-Chia Michael", "" ], [ "Wu", "Renjie", "" ], [ "Wang", "Junpeng", "" ], [ "Zheng", "Yan", "" ], [ "Zhuang", "Zhongfang", "" ], [ "Wang", "Liang", "" ], [ "Zhang...
The most useful data mining primitives are distance measures. With an effective distance measure, it is possible to perform classification, clustering, anomaly detection, segmentation, etc. For single-event time series Euclidean Distance and Dynamic Time Warping distance are known to be extremely effective. However, fo...
2104.06127
Maartje De Graaf
Sven Y. Neuteboom and Maartje M.A. de Graaf
Cobbler Stick With Your Reads: People's Perceptions of Gendered Robots Performing Gender Stereotypical Tasks
in TRAITS Workshop Proceedings (arXiv:2103.12679) held in conjunction with Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, March 2021, Pages 709-711
null
null
TRAITS/2021/01
cs.RO cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Previous research found that robots should best be designed to fit their given task, whilst others identified gender effects in people's evaluations of robots. This study combines this knowledge to investigate stereotyping effects of robot genderedness and assigned tasks in an online experiment (n = 89) manipulating ...
[ { "created": "Tue, 13 Apr 2021 12:00:17 GMT", "version": "v1" } ]
2021-04-14
[ [ "Neuteboom", "Sven Y.", "" ], [ "de Graaf", "Maartje M. A.", "" ] ]
Previous research found that robots should best be designed to fit their given task, whilst others identified gender effects in people's evaluations of robots. This study combines this knowledge to investigate stereotyping effects of robot genderedness and assigned tasks in an online experiment (n = 89) manipulating ro...
1309.7313
Jiwei Li
Jiwei Li and Claire Cardie
Timeline Generation: Tracking individuals on Twitter
null
null
null
null
cs.SI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a unsupervised framework to reconstruct a person's life history by creating a chronological list for {\it personal important events} (PIE) of individuals based on the tweets they published. By analyzing individual tweet collections, we find that what are suitable for inclusion in the persona...
[ { "created": "Fri, 27 Sep 2013 17:56:35 GMT", "version": "v1" }, { "created": "Sun, 20 Oct 2013 00:16:14 GMT", "version": "v2" }, { "created": "Fri, 7 Feb 2014 19:10:58 GMT", "version": "v3" } ]
2014-02-10
[ [ "Li", "Jiwei", "" ], [ "Cardie", "Claire", "" ] ]
In this paper, we propose a unsupervised framework to reconstruct a person's life history by creating a chronological list for {\it personal important events} (PIE) of individuals based on the tweets they published. By analyzing individual tweet collections, we find that what are suitable for inclusion in the personal ...
1101.4236
Yashwanth Vijay Kothapalli
Yashwanth Kothapalli
Indexing Properties of Primitive Pythagorean Triples for Cryptography Applications
8 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents new properties of Primitive Pythagorean Triples (PPT) that have relevance in applications where events of different probability need to be generated and in cryptography.
[ { "created": "Fri, 21 Jan 2011 21:53:18 GMT", "version": "v1" } ]
2011-01-25
[ [ "Kothapalli", "Yashwanth", "" ] ]
This paper presents new properties of Primitive Pythagorean Triples (PPT) that have relevance in applications where events of different probability need to be generated and in cryptography.
2303.08562
Weijian Huang
Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang
MGA: Medical generalist agent through text-guided knowledge transformation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-modal representation methods have achieved advanced performance in medical applications by extracting more robust features from multi-domain data. However, existing methods usually need to train additional branches for downstream tasks, which may increase the model complexities in clinical applications as well ...
[ { "created": "Wed, 15 Mar 2023 12:28:31 GMT", "version": "v1" } ]
2023-03-16
[ [ "Huang", "Weijian", "" ], [ "Yang", "Hao", "" ], [ "Li", "Cheng", "" ], [ "Dai", "Mingtong", "" ], [ "Yang", "Rui", "" ], [ "Wang", "Shanshan", "" ] ]
Multi-modal representation methods have achieved advanced performance in medical applications by extracting more robust features from multi-domain data. However, existing methods usually need to train additional branches for downstream tasks, which may increase the model complexities in clinical applications as well as...
2403.11451
Haolan Chen
Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou and Wei Hu
CasSR: Activating Image Power for Real-World Image Super-Resolution
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of image super-resolution is to generate clean and high-resolution images from degraded versions. Recent advancements in diffusion modeling have led to the emergence of various image super-resolution techniques that leverage pretrained text-to-image (T2I) models. Nevertheless, due to the prevalent sever...
[ { "created": "Mon, 18 Mar 2024 03:59:43 GMT", "version": "v1" } ]
2024-03-19
[ [ "Chen", "Haolan", "" ], [ "Hao", "Jinhua", "" ], [ "Zhao", "Kai", "" ], [ "Yuan", "Kun", "" ], [ "Sun", "Ming", "" ], [ "Zhou", "Chao", "" ], [ "Hu", "Wei", "" ] ]
The objective of image super-resolution is to generate clean and high-resolution images from degraded versions. Recent advancements in diffusion modeling have led to the emergence of various image super-resolution techniques that leverage pretrained text-to-image (T2I) models. Nevertheless, due to the prevalent severe ...
2204.14059
Siyuan Liu
Yi Lin (1), Siyuan Liu (1), Lei Yan (1 and 2), Kai Yan (3), Yelu Zeng (4) and Bin Yang (5) ((1) Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University. (2) Guangxi Key Laboratory of Remote Measuring System, Guiling University of Aerospace Technology....
Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation
null
null
null
null
cs.CE eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Directional area scattering factor (DASF) is a critical canopy structural parameter for vegetation monitoring. It provides an efficient tool for decoupling of canopy structure and leaf optics from canopy reflectance. Current standard approach to estimate DASF from canopy bidirectional reflectance factor (BRF) is base...
[ { "created": "Thu, 28 Apr 2022 02:54:24 GMT", "version": "v1" } ]
2022-05-02
[ [ "Lin", "Yi", "", "1 and 2" ], [ "Liu", "Siyuan", "", "1 and 2" ], [ "Yan", "Lei", "", "1 and 2" ], [ "Yan", "Kai", "" ], [ "Zeng", "Yelu", "" ], [ "Yang", "Bin", "" ] ]
Directional area scattering factor (DASF) is a critical canopy structural parameter for vegetation monitoring. It provides an efficient tool for decoupling of canopy structure and leaf optics from canopy reflectance. Current standard approach to estimate DASF from canopy bidirectional reflectance factor (BRF) is based ...
2007.04604
Sao Mai Nguyen
Linda Nanan Vall\'ee (ESATIC), Christophe Lohr, Sao Mai Nguyen (IMT Atlantique), Ioannis Kanellos (IMT Atlantique - INFO), O. Asseu (ESATIC)
Building an Automated Gesture Imitation Game for Teenagers with ASD
null
Far East Journal of Electronics and Communications, 2019, 22, pp.19 - 28
10.17654/EC023010001
null
cs.HC cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autism spectrum disorder is a neurodevelopmental condition that includes issues with communication and social interactions. People with ASD also often have restricted interests and repetitive behaviors. In this paper we build preliminary bricks of an automated gesture imitation game that will aim at improving social ...
[ { "created": "Thu, 9 Jul 2020 07:27:43 GMT", "version": "v1" } ]
2020-07-10
[ [ "Vallée", "Linda Nanan", "", "ESATIC" ], [ "Lohr", "Christophe", "", "IMT\n Atlantique" ], [ "Nguyen", "Sao Mai", "", "IMT\n Atlantique" ], [ "Kanellos", "Ioannis", "", "IMT Atlantique - INFO" ], [ "Asseu", "O.", "", ...
Autism spectrum disorder is a neurodevelopmental condition that includes issues with communication and social interactions. People with ASD also often have restricted interests and repetitive behaviors. In this paper we build preliminary bricks of an automated gesture imitation game that will aim at improving social in...
1802.08150
Diego Moussallem
Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Claudia Cavalcanti, Geraldo Xex\'eo, Mariana Neves, Axel-Cyrille Ngonga Ngomo
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
Accepted for publication in Language Resources and Evaluation Conference (LREC) 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data. A number of these approaches generate natural language in languages other than English, however, no work has been proposed to generate Brazilian Port...
[ { "created": "Thu, 22 Feb 2018 16:41:56 GMT", "version": "v1" } ]
2018-02-23
[ [ "Moussallem", "Diego", "" ], [ "Ferreira", "Thiago Castro", "" ], [ "Zampieri", "Marcos", "" ], [ "Cavalcanti", "Maria Claudia", "" ], [ "Xexéo", "Geraldo", "" ], [ "Neves", "Mariana", "" ], [ "Ngomo", "Axel-Cy...
The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data. A number of these approaches generate natural language in languages other than English, however, no work has been proposed to generate Brazilian Portug...