id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
1902.09063
Amber Simpson
Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan...
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic segmentation of medical images aims to associate a pixel with a label in a medical image without human initialization. The success of semantic segmentation algorithms is contingent on the availability of high-quality imaging data with corresponding labels provided by experts. We sought to create a large coll...
[ { "created": "Mon, 25 Feb 2019 02:34:48 GMT", "version": "v1" } ]
2019-02-26
[ [ "Simpson", "Amber L.", "" ], [ "Antonelli", "Michela", "" ], [ "Bakas", "Spyridon", "" ], [ "Bilello", "Michel", "" ], [ "Farahani", "Keyvan", "" ], [ "van Ginneken", "Bram", "" ], [ "Kopp-Schneider", "Annette"...
Semantic segmentation of medical images aims to associate a pixel with a label in a medical image without human initialization. The success of semantic segmentation algorithms is contingent on the availability of high-quality imaging data with corresponding labels provided by experts. We sought to create a large collec...
1703.01190
Alessandro Biason
Alessandro Biason and Michele Zorzi
Multicast Transmissions in Directional mmWave Communications
8 pages, 5 figures, submitted to European Wireless (EW), Feb. 2017
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multicast transmissions have been widely analyzed in traditional networks as a way to improve spectrum efficiency when multiple users are interested in the same data. However, their application to mmWave communications has been studied only marginally so far. The goal of this paper is to partially fill this gap by in...
[ { "created": "Fri, 3 Mar 2017 14:47:15 GMT", "version": "v1" } ]
2017-03-06
[ [ "Biason", "Alessandro", "" ], [ "Zorzi", "Michele", "" ] ]
Multicast transmissions have been widely analyzed in traditional networks as a way to improve spectrum efficiency when multiple users are interested in the same data. However, their application to mmWave communications has been studied only marginally so far. The goal of this paper is to partially fill this gap by inve...
1002.3316
Mohsen Toorani
M. Toorani, A. A. Beheshti
A Directly Public Verifiable Signcryption Scheme based on Elliptic Curves
4 Pages, 2 Figures, 2 Tables
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC'09), pp.713-716, July 2009
10.1109/ISCC.2009.5202242
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A directly public verifiable signcryption scheme is introduced in this paper that provides the security attributes of message confidentiality, authentication, integrity, non-repudiation, unforgeability, and forward secrecy of message confidentiality. It provides the attribute of direct public verifiability so anyone ...
[ { "created": "Wed, 17 Feb 2010 17:18:28 GMT", "version": "v1" }, { "created": "Thu, 18 Feb 2010 08:00:19 GMT", "version": "v2" }, { "created": "Mon, 11 Jul 2011 13:48:35 GMT", "version": "v3" }, { "created": "Fri, 16 Mar 2012 21:17:08 GMT", "version": "v4" } ]
2012-03-20
[ [ "Toorani", "M.", "" ], [ "Beheshti", "A. A.", "" ] ]
A directly public verifiable signcryption scheme is introduced in this paper that provides the security attributes of message confidentiality, authentication, integrity, non-repudiation, unforgeability, and forward secrecy of message confidentiality. It provides the attribute of direct public verifiability so anyone ca...
2307.14246
Timo Speith
Timo Speith, Markus Langer
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Accepted at the Third International Workshop on Requirements Engineering for Explainable Systems (RE4ES) co-located with the 31st IEEE International Requirements Engineering Conference (RE'23)
null
null
null
cs.AI cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societal expectations, and regulatory standards has garnered recognition. In general, explainability has emerged as an important non-functional ...
[ { "created": "Wed, 26 Jul 2023 15:15:44 GMT", "version": "v1" } ]
2023-07-27
[ [ "Speith", "Timo", "" ], [ "Langer", "Markus", "" ] ]
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societal expectations, and regulatory standards has garnered recognition. In general, explainability has emerged as an important non-functional re...
2303.15062
Beomyoung Kim
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce a novel learning scheme named weakly semi-supervised instance segmentation (WSSIS) with point labels for budget-efficient and high-performance instance segmentation. Namely, we consider a dataset setting consisting of a few fully-labeled images and a lot of point-labeled images. Motivated ...
[ { "created": "Mon, 27 Mar 2023 10:11:22 GMT", "version": "v1" } ]
2023-03-28
[ [ "Kim", "Beomyoung", "" ], [ "Jeong", "Joonhyun", "" ], [ "Han", "Dongyoon", "" ], [ "Hwang", "Sung Ju", "" ] ]
In this paper, we introduce a novel learning scheme named weakly semi-supervised instance segmentation (WSSIS) with point labels for budget-efficient and high-performance instance segmentation. Namely, we consider a dataset setting consisting of a few fully-labeled images and a lot of point-labeled images. Motivated by...
2312.07613
Christine Lepird
Christine Sowa Lepird and Kathleen M. Carley
Comparison of Online Maneuvers by Authentic and Inauthentic Local News Organizations
null
null
null
null
cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Inauthentic local news organizations, otherwise known as pink slime, have become a serious problem exploiting the trust of local news since their creation ahead of the 2020 U.S. Presidential election. In this paper, we apply the BEND framework, a methodology of classifying social media posts as belonging to sixteen n...
[ { "created": "Mon, 11 Dec 2023 19:29:52 GMT", "version": "v1" } ]
2023-12-14
[ [ "Lepird", "Christine Sowa", "" ], [ "Carley", "Kathleen M.", "" ] ]
Inauthentic local news organizations, otherwise known as pink slime, have become a serious problem exploiting the trust of local news since their creation ahead of the 2020 U.S. Presidential election. In this paper, we apply the BEND framework, a methodology of classifying social media posts as belonging to sixteen net...
2404.06622
Dipam Goswami Mr.
Dipam Goswami, Bart{\l}omiej Twardowski, Joost van de Weijer
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
Accepted at CLVision workshop (CVPR 2024)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Few-shot class-incremental learning (FSCIL) aims to adapt the model to new classes from very few data (5 samples) without forgetting the previously learned classes. Recent works in many-shot CIL (MSCIL) (using all available training data) exploited pre-trained models to reduce forgetting and achieve better plasticity...
[ { "created": "Tue, 9 Apr 2024 21:12:31 GMT", "version": "v1" } ]
2024-04-11
[ [ "Goswami", "Dipam", "" ], [ "Twardowski", "Bartłomiej", "" ], [ "van de Weijer", "Joost", "" ] ]
Few-shot class-incremental learning (FSCIL) aims to adapt the model to new classes from very few data (5 samples) without forgetting the previously learned classes. Recent works in many-shot CIL (MSCIL) (using all available training data) exploited pre-trained models to reduce forgetting and achieve better plasticity. ...
2206.14415
Anna Kalenkova
Anna Kalenkova, Lewis Mitchell, Matthew Roughan
Performance Analysis: Discovering Semi-Markov Models From Event Logs
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Process mining is a well-established discipline of data analysis focused on the discovery of process models from information systems' event logs. Recently, an emerging subarea of process mining - stochastic process discovery has started to evolve. Stochastic process discovery considers frequencies of events in the ev...
[ { "created": "Wed, 29 Jun 2022 06:04:19 GMT", "version": "v1" }, { "created": "Fri, 30 Jun 2023 04:28:29 GMT", "version": "v2" }, { "created": "Sun, 28 Jul 2024 00:47:10 GMT", "version": "v3" } ]
2024-07-30
[ [ "Kalenkova", "Anna", "" ], [ "Mitchell", "Lewis", "" ], [ "Roughan", "Matthew", "" ] ]
Process mining is a well-established discipline of data analysis focused on the discovery of process models from information systems' event logs. Recently, an emerging subarea of process mining - stochastic process discovery has started to evolve. Stochastic process discovery considers frequencies of events in the even...
2404.15904
Faraz Faruqi
Martin Nisser, Marisa Gaetz, Andrew Fishberg, Raechel Soicher, Faraz Faruqi, Joshua Long
From Prisons to Programming: Fostering Self-Efficacy via Virtual Web Design Curricula in Prisons and Jails
null
null
10.1145/3613904.3642717
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Self-efficacy and digital literacy are key predictors to incarcerated people's success in the modern workplace. While digitization in correctional facilities is expanding, few templates exist for how to design computing curricula that foster self-efficacy and digital literacy in carceral environments. As a result, fo...
[ { "created": "Wed, 24 Apr 2024 14:58:01 GMT", "version": "v1" } ]
2024-04-25
[ [ "Nisser", "Martin", "" ], [ "Gaetz", "Marisa", "" ], [ "Fishberg", "Andrew", "" ], [ "Soicher", "Raechel", "" ], [ "Faruqi", "Faraz", "" ], [ "Long", "Joshua", "" ] ]
Self-efficacy and digital literacy are key predictors to incarcerated people's success in the modern workplace. While digitization in correctional facilities is expanding, few templates exist for how to design computing curricula that foster self-efficacy and digital literacy in carceral environments. As a result, form...
2304.05554
Liping Bao
Liping Bao, Longhui Wei, Xiaoyu Qiu, Wengang Zhou, Houqiang Li, Qi Tian
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent researches on unsupervised person re-identification~(reID) have demonstrated that pre-training on unlabeled person images achieves superior performance on downstream reID tasks than pre-training on ImageNet. However, those pre-trained methods are specifically designed for reID and suffer flexible adaption to o...
[ { "created": "Wed, 12 Apr 2023 01:20:58 GMT", "version": "v1" } ]
2023-04-13
[ [ "Bao", "Liping", "" ], [ "Wei", "Longhui", "" ], [ "Qiu", "Xiaoyu", "" ], [ "Zhou", "Wengang", "" ], [ "Li", "Houqiang", "" ], [ "Tian", "Qi", "" ] ]
Recent researches on unsupervised person re-identification~(reID) have demonstrated that pre-training on unlabeled person images achieves superior performance on downstream reID tasks than pre-training on ImageNet. However, those pre-trained methods are specifically designed for reID and suffer flexible adaption to oth...
1801.00711
Shiliang Sun
Shiliang Sun, Rongqing Huang, Ya Gao
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks
null
Journal of Transportation Engineering, 2012, 138(11): 1358-1367
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic flow forecasting, especially the short-term case, is an important topic in intelligent transportation systems (ITS). This paper does a lot of research on network-scale modeling and forecasting of short-term traffic flows. Firstly, we propose the concepts of single-link and multi-link models of traffic flow fo...
[ { "created": "Mon, 25 Dec 2017 03:08:15 GMT", "version": "v1" } ]
2018-01-03
[ [ "Sun", "Shiliang", "" ], [ "Huang", "Rongqing", "" ], [ "Gao", "Ya", "" ] ]
Traffic flow forecasting, especially the short-term case, is an important topic in intelligent transportation systems (ITS). This paper does a lot of research on network-scale modeling and forecasting of short-term traffic flows. Firstly, we propose the concepts of single-link and multi-link models of traffic flow fore...
2010.10737
Ramanujam Madhavan
Ramanujam Madhavan, Mohit Wadhwa
Directed Graph Representation through Vector Cross Product
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph embedding methods embed the nodes in a graph in low dimensional vector space while preserving graph topology to carry out the downstream tasks such as link prediction, node recommendation and clustering. These tasks depend on a similarity measure such as cosine similarity and Euclidean distance between a pair o...
[ { "created": "Wed, 21 Oct 2020 03:17:44 GMT", "version": "v1" } ]
2020-10-22
[ [ "Madhavan", "Ramanujam", "" ], [ "Wadhwa", "Mohit", "" ] ]
Graph embedding methods embed the nodes in a graph in low dimensional vector space while preserving graph topology to carry out the downstream tasks such as link prediction, node recommendation and clustering. These tasks depend on a similarity measure such as cosine similarity and Euclidean distance between a pair of ...
2103.13134
Mingjie Xu
Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu
Vulnerability of Appearance-based Gaze Estimation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e., perturbing the raw image using noise confuses the gaze estimation models. Although the perturbed image visually looks similar to the ori...
[ { "created": "Wed, 24 Mar 2021 12:19:59 GMT", "version": "v1" } ]
2021-03-25
[ [ "Xu", "Mingjie", "" ], [ "Wang", "Haofei", "" ], [ "Liu", "Yunfei", "" ], [ "Lu", "Feng", "" ] ]
Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e., perturbing the raw image using noise confuses the gaze estimation models. Although the perturbed image visually looks similar to the origi...
1208.3101
Artjay Javier
F. G. Serpa, Adam M. Graves and Artjay Javier
Statistical Common Author Networks (SCAN)
Accepted to JASIST (February 2013). Copyright 2013 American Society of Information Science and Technology
null
null
null
cs.DL cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new method for visualizing the relatedness of scientific areas is developed that is based on measuring the overlap of researchers between areas. It is found that closely related areas have a high propensity to share a larger number of common authors. A methodology for comparing areas of vastly different sizes and t...
[ { "created": "Wed, 15 Aug 2012 12:11:07 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2013 19:45:23 GMT", "version": "v2" } ]
2013-03-11
[ [ "Serpa", "F. G.", "" ], [ "Graves", "Adam M.", "" ], [ "Javier", "Artjay", "" ] ]
A new method for visualizing the relatedness of scientific areas is developed that is based on measuring the overlap of researchers between areas. It is found that closely related areas have a high propensity to share a larger number of common authors. A methodology for comparing areas of vastly different sizes and to ...
2309.13685
Wen-Jie Liu
Wenjie Liu, Yinsong Xu, Wen Liu, Haibin Wang, and Zhibin Lei
Quantum Searchable Encryption for Cloud Data Based on Full-Blind Quantum Computation
20 pages, 13 figures
IEEE Access,2019.7:p.186284-186295
10.1109/access.2019.2960592
null
cs.ET cs.CR quant-ph
http://creativecommons.org/licenses/by/4.0/
Searchable encryption (SE) is a positive way to protect users sensitive data in cloud computing setting, while preserving search ability on the server side, i.e., it allows the server to search encrypted data without leaking information about the plaintext data. In this paper, a multi-client universal circuit-based f...
[ { "created": "Sun, 24 Sep 2023 16:17:53 GMT", "version": "v1" } ]
2024-05-14
[ [ "Liu", "Wenjie", "" ], [ "Xu", "Yinsong", "" ], [ "Liu", "Wen", "" ], [ "Wang", "Haibin", "" ], [ "Lei", "Zhibin", "" ] ]
Searchable encryption (SE) is a positive way to protect users sensitive data in cloud computing setting, while preserving search ability on the server side, i.e., it allows the server to search encrypted data without leaking information about the plaintext data. In this paper, a multi-client universal circuit-based ful...
2303.01234
Mingze Ni
Mingze Ni, Zhensu Sun and Wei Liu
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
21 pages, 9 tables, 3 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent research has revealed that natural language processing (NLP) models are vulnerable to adversarial examples. However, the current techniques for generating such examples rely on deterministic heuristic rules, which fail to produce optimal adversarial examples. In response, this study proposes a new method calle...
[ { "created": "Wed, 1 Mar 2023 06:04:25 GMT", "version": "v1" }, { "created": "Wed, 27 Dec 2023 17:54:38 GMT", "version": "v2" } ]
2023-12-29
[ [ "Ni", "Mingze", "" ], [ "Sun", "Zhensu", "" ], [ "Liu", "Wei", "" ] ]
Recent research has revealed that natural language processing (NLP) models are vulnerable to adversarial examples. However, the current techniques for generating such examples rely on deterministic heuristic rules, which fail to produce optimal adversarial examples. In response, this study proposes a new method called ...
1903.11277
Masataro Asai
Masataro Asai, Hiroshi Kajino
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Accepted in 29th International Conference of Automated Planning and Scheduling (ICAPS-2019), Planning and Learning track
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While classical planning has been an active branch of AI, its applicability is limited to the tasks precisely modeled by humans. Fully automated high-level agents should be instead able to find a symbolic representation of an unknown environment without supervision, otherwise it exhibits the knowledge acquisition bot...
[ { "created": "Wed, 27 Mar 2019 07:46:02 GMT", "version": "v1" } ]
2019-03-28
[ [ "Asai", "Masataro", "" ], [ "Kajino", "Hiroshi", "" ] ]
While classical planning has been an active branch of AI, its applicability is limited to the tasks precisely modeled by humans. Fully automated high-level agents should be instead able to find a symbolic representation of an unknown environment without supervision, otherwise it exhibits the knowledge acquisition bottl...
2010.01875
Lei Feng
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
Pointwise Binary Classification with Pairwise Confidence Comparisons
Accepted to ICML 2021
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To alleviate the data requirement for training effective binary classifiers in binary classification, many weakly supervised learning settings have been proposed. Among them, some consider using pairwise but not pointwise labels, when pointwise labels are not accessible due to privacy, confidentiality, or security re...
[ { "created": "Mon, 5 Oct 2020 09:23:58 GMT", "version": "v1" }, { "created": "Sun, 1 Nov 2020 15:26:43 GMT", "version": "v2" }, { "created": "Sat, 19 Jun 2021 15:08:45 GMT", "version": "v3" }, { "created": "Thu, 13 Jan 2022 08:59:36 GMT", "version": "v4" } ]
2022-01-14
[ [ "Feng", "Lei", "" ], [ "Shu", "Senlin", "" ], [ "Lu", "Nan", "" ], [ "Han", "Bo", "" ], [ "Xu", "Miao", "" ], [ "Niu", "Gang", "" ], [ "An", "Bo", "" ], [ "Sugiyama", "Masashi", "" ] ]
To alleviate the data requirement for training effective binary classifiers in binary classification, many weakly supervised learning settings have been proposed. Among them, some consider using pairwise but not pointwise labels, when pointwise labels are not accessible due to privacy, confidentiality, or security reas...
1603.06848
Pedro Comesa\~na
Pedro Comesa\~na-Alfaro and Fernando P\'erez-Gonz\'alez
Report on Dirty Paper Coding Estimation with multidimensional lattices
86 pages, 53 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this report we include some derivations on a channel estimation method based on the use of Dirty Paper Coding. Specifically, we analyze the proposed method, named Dirty Paper-based Channel Estimation (DPCE), when the considered codebooks are high-dimensional lattices.
[ { "created": "Tue, 22 Mar 2016 16:06:43 GMT", "version": "v1" } ]
2016-03-23
[ [ "Comesaña-Alfaro", "Pedro", "" ], [ "Pérez-González", "Fernando", "" ] ]
In this report we include some derivations on a channel estimation method based on the use of Dirty Paper Coding. Specifically, we analyze the proposed method, named Dirty Paper-based Channel Estimation (DPCE), when the considered codebooks are high-dimensional lattices.
2303.17408
Yucheng Ruan
Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical tabular data, abundant in Electronic Health Records (EHRs), is a valuable resource for diverse medical tasks such as risk prediction. While deep learning approaches, particularly transformer-based models, have shown remarkable performance in tabular data prediction, there are still problems remained for exist...
[ { "created": "Thu, 30 Mar 2023 14:25:44 GMT", "version": "v1" }, { "created": "Wed, 9 Aug 2023 08:58:25 GMT", "version": "v2" }, { "created": "Tue, 9 Jan 2024 10:28:00 GMT", "version": "v3" } ]
2024-01-10
[ [ "Ruan", "Yucheng", "" ], [ "Lan", "Xiang", "" ], [ "Tan", "Daniel J.", "" ], [ "Abdullah", "Hairil Rizal", "" ], [ "Feng", "Mengling", "" ] ]
Medical tabular data, abundant in Electronic Health Records (EHRs), is a valuable resource for diverse medical tasks such as risk prediction. While deep learning approaches, particularly transformer-based models, have shown remarkable performance in tabular data prediction, there are still problems remained for existin...
1111.5807
Krasinski Tadeusz
Tadeusz Krasinski, Sebastian Sakowski, Tomasz Poplawski
Autonomous push-down automaton built on DNA
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a biomolecular implementation of the push-down automaton (one of theoretical models of computing device with unbounded memory) using DNA molecules. The idea of this improved implementation was inspired by Cavaliere et al. (2005).
[ { "created": "Thu, 24 Nov 2011 15:52:54 GMT", "version": "v1" } ]
2011-11-28
[ [ "Krasinski", "Tadeusz", "" ], [ "Sakowski", "Sebastian", "" ], [ "Poplawski", "Tomasz", "" ] ]
In this paper we propose a biomolecular implementation of the push-down automaton (one of theoretical models of computing device with unbounded memory) using DNA molecules. The idea of this improved implementation was inspired by Cavaliere et al. (2005).
2306.15248
Tianyang Cai
Tianyang Cai, Yuqi Li, Tao Jia, Leo Yu Zhang, and Zheng Yang
Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint
null
null
10.1109/CSCWD57460.2023.10152609
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While collaborative systems provide convenience to our lives, they also face many security threats. One of them is the Low-rate Distributed Denial-of-Service (LDDoS) attack, which is a worthy concern. Unlike volumetric DDoS attacks that continuously send large volumes of traffic, LDDoS attacks are more stealthy and d...
[ { "created": "Tue, 27 Jun 2023 07:07:39 GMT", "version": "v1" } ]
2023-06-28
[ [ "Cai", "Tianyang", "" ], [ "Li", "Yuqi", "" ], [ "Jia", "Tao", "" ], [ "Zhang", "Leo Yu", "" ], [ "Yang", "Zheng", "" ] ]
While collaborative systems provide convenience to our lives, they also face many security threats. One of them is the Low-rate Distributed Denial-of-Service (LDDoS) attack, which is a worthy concern. Unlike volumetric DDoS attacks that continuously send large volumes of traffic, LDDoS attacks are more stealthy and dif...
2311.07864
Thao Nguyen
Thao Nguyen, Simon Kornblith
Probing clustering in neural network representations
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Neural network representations contain structure beyond what was present in the training labels. For instance, representations of images that are visually or semantically similar tend to lie closer to each other than to dissimilar images, regardless of their labels. Clustering these representations can thus provide i...
[ { "created": "Tue, 14 Nov 2023 02:33:54 GMT", "version": "v1" } ]
2023-11-15
[ [ "Nguyen", "Thao", "" ], [ "Kornblith", "Simon", "" ] ]
Neural network representations contain structure beyond what was present in the training labels. For instance, representations of images that are visually or semantically similar tend to lie closer to each other than to dissimilar images, regardless of their labels. Clustering these representations can thus provide ins...
2305.05519
Vishnu Sharma
Vishnu Dutt Sharma, Jingxi Chen, Pratap Tokekar
ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation
This is an incremental work over an existing arxiv submission of the author. It will be re-uploaded as a version of that work [arXiv:2203.04177]
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a typical path planning pipeline for a ground robot, we build a map (e.g., an occupancy grid) of the environment as the robot moves around. While navigating indoors, a ground robot's knowledge about the environment may be limited due to occlusions. Therefore, the map will have many as-yet-unknown regions that may ...
[ { "created": "Tue, 9 May 2023 15:16:57 GMT", "version": "v1" }, { "created": "Wed, 10 May 2023 01:59:45 GMT", "version": "v2" } ]
2023-08-03
[ [ "Sharma", "Vishnu Dutt", "" ], [ "Chen", "Jingxi", "" ], [ "Tokekar", "Pratap", "" ] ]
In a typical path planning pipeline for a ground robot, we build a map (e.g., an occupancy grid) of the environment as the robot moves around. While navigating indoors, a ground robot's knowledge about the environment may be limited due to occlusions. Therefore, the map will have many as-yet-unknown regions that may ne...
2407.11238
Adam Korycki
Adam Korycki, Colleen Josephson, Steve McGuire
Evaluating geometric accuracy of NeRF reconstructions compared to SLAM method
null
null
null
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
As Neural Radiance Field (NeRF) implementations become faster, more efficient and accurate, their applicability to real world mapping tasks becomes more accessible. Traditionally, 3D mapping, or scene reconstruction, has relied on expensive LiDAR sensing. Photogrammetry can perform image-based 3D reconstruction but i...
[ { "created": "Mon, 15 Jul 2024 21:04:11 GMT", "version": "v1" }, { "created": "Thu, 25 Jul 2024 20:40:13 GMT", "version": "v2" } ]
2024-07-29
[ [ "Korycki", "Adam", "" ], [ "Josephson", "Colleen", "" ], [ "McGuire", "Steve", "" ] ]
As Neural Radiance Field (NeRF) implementations become faster, more efficient and accurate, their applicability to real world mapping tasks becomes more accessible. Traditionally, 3D mapping, or scene reconstruction, has relied on expensive LiDAR sensing. Photogrammetry can perform image-based 3D reconstruction but is ...
1312.4384
Eren Golge
Eren Golge and Pinar Duygulu
Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images
present CVPR2014 submission
null
null
null
cs.CV cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We attack the problem of learning concepts automatically from noisy web image search results. Going beyond low level attributes, such as colour and texture, we explore weakly-labelled datasets for the learning of higher level concepts, such as scene categories. The idea is based on discovering common characteristics ...
[ { "created": "Mon, 16 Dec 2013 14:51:00 GMT", "version": "v1" } ]
2013-12-17
[ [ "Golge", "Eren", "" ], [ "Duygulu", "Pinar", "" ] ]
We attack the problem of learning concepts automatically from noisy web image search results. Going beyond low level attributes, such as colour and texture, we explore weakly-labelled datasets for the learning of higher level concepts, such as scene categories. The idea is based on discovering common characteristics sh...
2210.08188
Haiyun He
Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, Vincent Y. F. Tan
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
30 pages, 4 figures
null
null
null
cs.IT cs.LG math.IT
http://creativecommons.org/publicdomain/zero/1.0/
We provide an exact characterization of the expected generalization error (gen-error) for semi-supervised learning (SSL) with pseudo-labeling via the Gibbs algorithm. The gen-error is expressed in terms of the symmetrized KL information between the output hypothesis, the pseudo-labeled dataset, and the labeled datase...
[ { "created": "Sat, 15 Oct 2022 04:11:56 GMT", "version": "v1" }, { "created": "Thu, 15 Jun 2023 17:22:45 GMT", "version": "v2" } ]
2023-06-16
[ [ "He", "Haiyun", "" ], [ "Aminian", "Gholamali", "" ], [ "Bu", "Yuheng", "" ], [ "Rodrigues", "Miguel", "" ], [ "Tan", "Vincent Y. F.", "" ] ]
We provide an exact characterization of the expected generalization error (gen-error) for semi-supervised learning (SSL) with pseudo-labeling via the Gibbs algorithm. The gen-error is expressed in terms of the symmetrized KL information between the output hypothesis, the pseudo-labeled dataset, and the labeled dataset....
1911.03667
Satyajit Neogi
Satyajit Neogi, Justin Dauwels
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling
To be submitted to Journal of Machine Learning Research (JMLR)
null
null
null
cs.LG eess.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conditional Random Fields (CRF) are frequently applied for labeling and segmenting sequence data. Morency et al. (2007) introduced hidden state variables in a labeled CRF structure in order to model the latent dynamics within class labels, thus improving the labeling performance. Such a model is known as Latent-Dynam...
[ { "created": "Sat, 9 Nov 2019 11:16:42 GMT", "version": "v1" }, { "created": "Tue, 12 Nov 2019 10:56:29 GMT", "version": "v2" } ]
2019-11-13
[ [ "Neogi", "Satyajit", "" ], [ "Dauwels", "Justin", "" ] ]
Conditional Random Fields (CRF) are frequently applied for labeling and segmenting sequence data. Morency et al. (2007) introduced hidden state variables in a labeled CRF structure in order to model the latent dynamics within class labels, thus improving the labeling performance. Such a model is known as Latent-Dynamic...
2308.12017
Donghao Zhou
Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
DISCO: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
12 pages, 9 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale well-annotated datasets are of great importance for training an effective object detector. However, obtaining accurate bounding box annotations is laborious and demanding. Unfortunately, the resultant noisy bounding boxes could cause corrupt supervision signals and thus diminish detection performance. Mot...
[ { "created": "Wed, 23 Aug 2023 09:20:05 GMT", "version": "v1" }, { "created": "Sat, 27 Jan 2024 07:30:05 GMT", "version": "v2" } ]
2024-01-30
[ [ "Zhou", "Donghao", "" ], [ "Li", "Jialin", "" ], [ "Li", "Jinpeng", "" ], [ "Huang", "Jiancheng", "" ], [ "Nie", "Qiang", "" ], [ "Liu", "Yong", "" ], [ "Gao", "Bin-Bin", "" ], [ "Wang", "Qiong"...
Large-scale well-annotated datasets are of great importance for training an effective object detector. However, obtaining accurate bounding box annotations is laborious and demanding. Unfortunately, the resultant noisy bounding boxes could cause corrupt supervision signals and thus diminish detection performance. Motiv...
2206.08129
Penghao Wu
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Accepted at NeurIPS 2022
null
null
null
cs.CV cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Current end-to-end autonomous driving methods either run a controller based on a planned trajectory or perform control prediction directly, which have spanned two separately studied lines of research. Seeing their potential mutual benefits to each other, this paper takes the initiative to explore the combination of t...
[ { "created": "Thu, 16 Jun 2022 12:42:44 GMT", "version": "v1" }, { "created": "Sat, 15 Oct 2022 06:12:13 GMT", "version": "v2" } ]
2022-10-18
[ [ "Wu", "Penghao", "" ], [ "Jia", "Xiaosong", "" ], [ "Chen", "Li", "" ], [ "Yan", "Junchi", "" ], [ "Li", "Hongyang", "" ], [ "Qiao", "Yu", "" ] ]
Current end-to-end autonomous driving methods either run a controller based on a planned trajectory or perform control prediction directly, which have spanned two separately studied lines of research. Seeing their potential mutual benefits to each other, this paper takes the initiative to explore the combination of the...
2009.07755
Guillaume Salha
Elena V. Epure and Guillaume Salha and Romain Hennequin
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
21st International Society for Music Information Retrieval Conference (ISMIR 2020)
null
null
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. Recently, in order to explicitly consider this subjectivity, the annotation of music items was modeled as a translation task: predict for a music ite...
[ { "created": "Wed, 16 Sep 2020 15:39:04 GMT", "version": "v1" } ]
2020-09-17
[ [ "Epure", "Elena V.", "" ], [ "Salha", "Guillaume", "" ], [ "Hennequin", "Romain", "" ] ]
Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. Recently, in order to explicitly consider this subjectivity, the annotation of music items was modeled as a translation task: predict for a music item ...
2309.15176
Nayoung Kim
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
Robust Stance Detection: Understanding Public Perceptions in Social Media
null
ASONAM 2024
null
null
cs.CL cs.SI
http://creativecommons.org/licenses/by/4.0/
The abundance of social media data has presented opportunities for accurately determining public and group-specific stances around policy proposals or controversial topics. In contrast with sentiment analysis which focuses on identifying prevailing emotions, stance detection identifies precise positions (i.e., suppor...
[ { "created": "Tue, 26 Sep 2023 18:19:51 GMT", "version": "v1" }, { "created": "Mon, 1 Jul 2024 22:06:00 GMT", "version": "v2" } ]
2024-07-03
[ [ "Kim", "Nayoung", "" ], [ "Mosallanezhad", "David", "" ], [ "Cheng", "Lu", "" ], [ "Mancenido", "Michelle V.", "" ], [ "Liu", "Huan", "" ] ]
The abundance of social media data has presented opportunities for accurately determining public and group-specific stances around policy proposals or controversial topics. In contrast with sentiment analysis which focuses on identifying prevailing emotions, stance detection identifies precise positions (i.e., supporti...
2001.02394
Gao Huang
Gao Huang and Zhuang Liu and Geoff Pleiss and Laurens van der Maaten and Kilian Q. Weinberger
Convolutional Networks with Dense Connectivity
Journal(PAMI) version of DenseNet(CVPR'17)
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional Network (DenseNet),...
[ { "created": "Wed, 8 Jan 2020 06:54:53 GMT", "version": "v1" } ]
2020-01-09
[ [ "Huang", "Gao", "" ], [ "Liu", "Zhuang", "" ], [ "Pleiss", "Geoff", "" ], [ "van der Maaten", "Laurens", "" ], [ "Weinberger", "Kilian Q.", "" ] ]
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional Network (DenseNet), w...
2404.00930
Ji-Eun Han
Ji-Eun Han, Jun-Seok Koh, Hyeon-Tae Seo, Du-Seong Chang, Kyung-Ah Sohn
PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
LREC-COLING 2024 Main
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
We present a novel end-to-end personality-based synthetic dialogue data generation pipeline, specifically designed to elicit responses from large language models via prompting. We design the prompts to generate more human-like dialogues considering real-world scenarios when users engage with chatbots. We introduce PS...
[ { "created": "Mon, 1 Apr 2024 05:19:34 GMT", "version": "v1" } ]
2024-04-02
[ [ "Han", "Ji-Eun", "" ], [ "Koh", "Jun-Seok", "" ], [ "Seo", "Hyeon-Tae", "" ], [ "Chang", "Du-Seong", "" ], [ "Sohn", "Kyung-Ah", "" ] ]
We present a novel end-to-end personality-based synthetic dialogue data generation pipeline, specifically designed to elicit responses from large language models via prompting. We design the prompts to generate more human-like dialogues considering real-world scenarios when users engage with chatbots. We introduce PSYD...
2408.05635
Zhongche Qu
Zhongche Qu, Zhi Zhang, Cong Liu, Jianhua Yin
Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional geometry-based SLAM systems lack dense 3D reconstruction capabilities since their data association usually relies on feature correspondences. Additionally, learning-based SLAM systems often fall short in terms of real-time performance and accuracy. Balancing real-time performance with dense 3D reconstruc...
[ { "created": "Sat, 10 Aug 2024 21:23:08 GMT", "version": "v1" } ]
2024-08-13
[ [ "Qu", "Zhongche", "" ], [ "Zhang", "Zhi", "" ], [ "Liu", "Cong", "" ], [ "Yin", "Jianhua", "" ] ]
Conventional geometry-based SLAM systems lack dense 3D reconstruction capabilities since their data association usually relies on feature correspondences. Additionally, learning-based SLAM systems often fall short in terms of real-time performance and accuracy. Balancing real-time performance with dense 3D reconstructi...
2307.08555
Shubhang Kulkarni
Krist\'of B\'erczi, Karthekeyan Chandrasekaran, Tam\'as Kir\'aly, Shubhang Kulkarni
Splitting-off in Hypergraphs
null
null
null
null
cs.DS cs.DM
http://creativecommons.org/licenses/by/4.0/
The splitting-off operation in undirected graphs is a fundamental reduction operation that detaches all edges incident to a given vertex and adds new edges between the neighbors of that vertex while preserving their degrees. Lov\'asz (1974) and Mader (1978) showed the existence of this operation while preserving glob...
[ { "created": "Mon, 17 Jul 2023 15:15:25 GMT", "version": "v1" }, { "created": "Fri, 25 Aug 2023 21:21:02 GMT", "version": "v2" }, { "created": "Wed, 15 Nov 2023 20:47:05 GMT", "version": "v3" }, { "created": "Fri, 16 Feb 2024 17:40:32 GMT", "version": "v4" } ]
2024-02-19
[ [ "Bérczi", "Kristóf", "" ], [ "Chandrasekaran", "Karthekeyan", "" ], [ "Király", "Tamás", "" ], [ "Kulkarni", "Shubhang", "" ] ]
The splitting-off operation in undirected graphs is a fundamental reduction operation that detaches all edges incident to a given vertex and adds new edges between the neighbors of that vertex while preserving their degrees. Lov\'asz (1974) and Mader (1978) showed the existence of this operation while preserving global...
2304.06043
Janamejaya Channegowda
Janamejaya Channegowda, Vageesh Maiya, Chaitanya Lingaraj
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
Accepted at IEEE Transactions on Industry Applications
null
10.1109/TIA.2023.3265359
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place concrete measures to reduce and subsequently limit the number of vehicles powered by fossil fuels. Lithium-ion based batteries are present...
[ { "created": "Sun, 9 Apr 2023 05:41:21 GMT", "version": "v1" } ]
2023-04-14
[ [ "Channegowda", "Janamejaya", "" ], [ "Maiya", "Vageesh", "" ], [ "Lingaraj", "Chaitanya", "" ] ]
Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place concrete measures to reduce and subsequently limit the number of vehicles powered by fossil fuels. Lithium-ion based batteries are presently...
cs/0609005
Moustapha Diaby
Moustapha Diaby
The traveling salesman problem: A Linear programming formulation
10 pages; Published in "WSEAS Transactions on Mathematics." Constraints added to rectify minor oversight in proof of proposition 2 (Theoretical development is same). Hofman's claim of a "counter-example" (arXiv cs/0610125 and cs/0611008) is invalid: violates constraints 2.11-2.15
null
null
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a polynomial-sized linear programming formulation of the Traveling Salesman Problem (TSP). The proposed linear program is a network flow-based model. Numerical implementation issues and results are discussed. (The exposition and proofs are much more detailed in an edition which I wrote in co...
[ { "created": "Sat, 2 Sep 2006 09:28:41 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2006 15:47:19 GMT", "version": "v2" }, { "created": "Sun, 22 Oct 2006 14:01:23 GMT", "version": "v3" }, { "created": "Fri, 10 Nov 2006 09:44:19 GMT", "version": "v4" }, { "cr...
2014-07-11
[ [ "Diaby", "Moustapha", "" ] ]
In this paper, we present a polynomial-sized linear programming formulation of the Traveling Salesman Problem (TSP). The proposed linear program is a network flow-based model. Numerical implementation issues and results are discussed. (The exposition and proofs are much more detailed in an edition which I wrote in coll...
2012.10672
Yao Deng
Yao Deng, Xi Zheng, Tianyi Zhang, Guannan Lou, Huai liu, Miryung Kim, Tsong Yueh Chen
A Declarative Metamorphic Testing Framework for Autonomous Driving
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Autonomous driving has gained much attention from both industry and academia. Currently, Deep Neural Networks (DNNs) are widely used for perception and control in autonomous driving. However, several fatal accidents caused by autonomous vehicles have raised serious safety concerns about autonomous driving models. Som...
[ { "created": "Sat, 19 Dec 2020 12:26:06 GMT", "version": "v1" }, { "created": "Wed, 23 Dec 2020 00:17:56 GMT", "version": "v2" }, { "created": "Sun, 4 Sep 2022 09:51:19 GMT", "version": "v3" }, { "created": "Fri, 23 Sep 2022 23:11:10 GMT", "version": "v4" } ]
2022-09-28
[ [ "Deng", "Yao", "" ], [ "Zheng", "Xi", "" ], [ "Zhang", "Tianyi", "" ], [ "Lou", "Guannan", "" ], [ "liu", "Huai", "" ], [ "Kim", "Miryung", "" ], [ "Chen", "Tsong Yueh", "" ] ]
Autonomous driving has gained much attention from both industry and academia. Currently, Deep Neural Networks (DNNs) are widely used for perception and control in autonomous driving. However, several fatal accidents caused by autonomous vehicles have raised serious safety concerns about autonomous driving models. Some ...
1712.09203
Hongyang Zhang
Yuanzhi Li, Tengyu Ma, Hongyang Zhang
Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations
COLT 2018 best paper; fixed minor missing steps in the previous version
null
null
null
cs.LG cs.DS math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that the gradient descent algorithm provides an implicit regularization effect in the learning of over-parameterized matrix factorization models and one-hidden-layer neural networks with quadratic activations. Concretely, we show that given $\tilde{O}(dr^{2})$ random linear measurements of a rank $r$ positive...
[ { "created": "Tue, 26 Dec 2017 08:04:43 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2018 08:21:52 GMT", "version": "v2" }, { "created": "Thu, 22 Feb 2018 03:50:08 GMT", "version": "v3" }, { "created": "Mon, 19 Mar 2018 07:59:32 GMT", "version": "v4" }, { "c...
2019-02-15
[ [ "Li", "Yuanzhi", "" ], [ "Ma", "Tengyu", "" ], [ "Zhang", "Hongyang", "" ] ]
We show that the gradient descent algorithm provides an implicit regularization effect in the learning of over-parameterized matrix factorization models and one-hidden-layer neural networks with quadratic activations. Concretely, we show that given $\tilde{O}(dr^{2})$ random linear measurements of a rank $r$ positive s...
2105.07043
Bob de Ruiter
Bob de Ruiter
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks
null
null
null
null
cs.LG physics.ao-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
The goal of this study was to improve the post-processing of precipitation forecasts using convolutional neural networks (CNNs). Instead of post-processing forecasts on a per-pixel basis, as is usually done when employing machine learning in meteorological post-processing, input forecast images were combined and tran...
[ { "created": "Fri, 14 May 2021 19:30:48 GMT", "version": "v1" } ]
2021-05-18
[ [ "de Ruiter", "Bob", "" ] ]
The goal of this study was to improve the post-processing of precipitation forecasts using convolutional neural networks (CNNs). Instead of post-processing forecasts on a per-pixel basis, as is usually done when employing machine learning in meteorological post-processing, input forecast images were combined and transf...
2301.12640
Junlong Lyu
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization
null
null
null
null
cs.LG math.AP math.OC
http://creativecommons.org/licenses/by/4.0/
We proposed a new technique to accelerate sampling methods for solving difficult optimization problems. Our method investigates the intrinsic connection between posterior distribution sampling and optimization with Langevin dynamics, and then we propose an interacting particle scheme that approximates a Reweighted In...
[ { "created": "Mon, 30 Jan 2023 03:48:20 GMT", "version": "v1" } ]
2023-01-31
[ [ "Lyu", "Junlong", "" ], [ "Chen", "Zhitang", "" ], [ "Lyu", "Wenlong", "" ], [ "Hao", "Jianye", "" ] ]
We proposed a new technique to accelerate sampling methods for solving difficult optimization problems. Our method investigates the intrinsic connection between posterior distribution sampling and optimization with Langevin dynamics, and then we propose an interacting particle scheme that approximates a Reweighted Inte...
2210.07270
Yuval Marton
Aashish Arora, Harshitha Malireddi, Daniel Bauer, Asad Sayeed, Yuval Marton
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling
10 pages including references. 2 figures. First 2 authors contributed significantly
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence and the predicates therein. Our best architecture first learns argument spans followed by learning the argument's syntactic heads. This information is shared with th...
[ { "created": "Thu, 13 Oct 2022 18:05:51 GMT", "version": "v1" } ]
2022-10-17
[ [ "Arora", "Aashish", "" ], [ "Malireddi", "Harshitha", "" ], [ "Bauer", "Daniel", "" ], [ "Sayeed", "Asad", "" ], [ "Marton", "Yuval", "" ] ]
We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence and the predicates therein. Our best architecture first learns argument spans followed by learning the argument's syntactic heads. This information is shared with the ...
1805.00825
Yu Chen
Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen
A Federated Capability-based Access Control Mechanism for Internet of Things (IoTs)
the SPIE Defense & Commercial Sensing 2018 (DCS), Conference on Sensors and Systems for Space Applications, Orlando, FL, USA, April 15, 2018. arXiv admin note: text overlap with arXiv:1804.09267
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The prevalence of Internet of Things (IoTs) allows heterogeneous embedded smart devices to collaboratively provide intelligent services with or without human intervention. While leveraging the large-scale IoT-based applications like Smart Gird and Smart Cities, IoT also incurs more concerns on privacy and security. A...
[ { "created": "Tue, 1 May 2018 16:27:49 GMT", "version": "v1" } ]
2018-05-03
[ [ "Xu", "Ronghua", "" ], [ "Chen", "Yu", "" ], [ "Blasch", "Erik", "" ], [ "Chen", "Genshe", "" ] ]
The prevalence of Internet of Things (IoTs) allows heterogeneous embedded smart devices to collaboratively provide intelligent services with or without human intervention. While leveraging the large-scale IoT-based applications like Smart Gird and Smart Cities, IoT also incurs more concerns on privacy and security. Amo...
1903.05440
Mark Levene
Andrius Mudinas and Dell Zhang and Mark Levene
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
10 pages, 4 figues, 6 tables
null
null
null
cs.CL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Financial market forecasting is one of the most attractive practical applications of sentiment analysis. In this paper, we investigate the potential of using sentiment \emph{attitudes} (positive vs negative) and also sentiment \emph{emotions} (joy, sadness, etc.) extracted from financial news or tweets to help predic...
[ { "created": "Wed, 13 Mar 2019 12:19:45 GMT", "version": "v1" } ]
2019-03-14
[ [ "Mudinas", "Andrius", "" ], [ "Zhang", "Dell", "" ], [ "Levene", "Mark", "" ] ]
Financial market forecasting is one of the most attractive practical applications of sentiment analysis. In this paper, we investigate the potential of using sentiment \emph{attitudes} (positive vs negative) and also sentiment \emph{emotions} (joy, sadness, etc.) extracted from financial news or tweets to help predict ...
2004.14581
Eisuke Shibuya
Eisuke Shibuya, Kazuhiro Hotta
Feedback U-net for Cell Image Segmentation
Accepted by CVPR2020 Workshop "Computer Vision for Microscopy Image Analysis (CVMI)"
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human brain is a layered structure, and performs not only a feedforward process from a lower layer to an upper layer but also a feedback process from an upper layer to a lower layer. The layer is a collection of neurons, and neural network is a mathematical model of the function of neurons. Although neural network im...
[ { "created": "Thu, 30 Apr 2020 04:16:26 GMT", "version": "v1" } ]
2020-05-01
[ [ "Shibuya", "Eisuke", "" ], [ "Hotta", "Kazuhiro", "" ] ]
Human brain is a layered structure, and performs not only a feedforward process from a lower layer to an upper layer but also a feedback process from an upper layer to a lower layer. The layer is a collection of neurons, and neural network is a mathematical model of the function of neurons. Although neural network imit...
2110.07683
M. Caner Tol
M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang
Don't Knock! Rowhammer at the Backdoor of DNN Models
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State-of-the-art deep neural networks (DNNs) have been proven to be vulnerable to adversarial manipulation and backdoor attacks. Backdoored models deviate from expected behavior on inputs with predefined triggers while retaining performance on clean data. Recent works focus on software simulation of backdoor injectio...
[ { "created": "Thu, 14 Oct 2021 19:43:53 GMT", "version": "v1" }, { "created": "Thu, 3 Feb 2022 18:00:11 GMT", "version": "v2" }, { "created": "Thu, 13 Apr 2023 20:39:15 GMT", "version": "v3" } ]
2023-04-17
[ [ "Tol", "M. Caner", "" ], [ "Islam", "Saad", "" ], [ "Adiletta", "Andrew J.", "" ], [ "Sunar", "Berk", "" ], [ "Zhang", "Ziming", "" ] ]
State-of-the-art deep neural networks (DNNs) have been proven to be vulnerable to adversarial manipulation and backdoor attacks. Backdoored models deviate from expected behavior on inputs with predefined triggers while retaining performance on clean data. Recent works focus on software simulation of backdoor injection ...
2103.09104
Xidong Mu
Yuanwei Liu and Xidong Mu and Jiaqi Xu and Robert Schober and Yang Hao and H. Vincent Poor and Lajos Hanzo
STAR: Simultaneous Transmission And Reflection for 360{\deg} Coverage by Intelligent Surfaces
15 pages, 5 figures
in IEEE Wireless Communications, vol. 28, no. 6, pp. 102-109, December 2021
10.1109/MWC.001.2100191
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel simultaneously transmitting and reflecting (STAR) system design relying on reconfigurable intelligent surfaces (RISs) is conceived. First, an existing prototype is reviewed and the potential benefits of STAR-RISs are discussed. Then, the key differences between conventional reflecting-only RISs and STAR-RISs ...
[ { "created": "Tue, 16 Mar 2021 14:37:26 GMT", "version": "v1" }, { "created": "Wed, 17 Mar 2021 08:42:46 GMT", "version": "v2" } ]
2022-09-14
[ [ "Liu", "Yuanwei", "" ], [ "Mu", "Xidong", "" ], [ "Xu", "Jiaqi", "" ], [ "Schober", "Robert", "" ], [ "Hao", "Yang", "" ], [ "Poor", "H. Vincent", "" ], [ "Hanzo", "Lajos", "" ] ]
A novel simultaneously transmitting and reflecting (STAR) system design relying on reconfigurable intelligent surfaces (RISs) is conceived. First, an existing prototype is reviewed and the potential benefits of STAR-RISs are discussed. Then, the key differences between conventional reflecting-only RISs and STAR-RISs ar...
2211.14105
Marlene Careil
Marl\`ene Careil, St\'ephane Lathuili\`ere, Camille Couprie, Jakob Verbeek
Unifying conditional and unconditional semantic image synthesis with OCO-GAN
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Generative image models have been extensively studied in recent years. In the unconditional setting, they model the marginal distribution from unlabelled images. To allow for more control, image synthesis can be conditioned on semantic segmentation maps that instruct the generator the position of objects in the image...
[ { "created": "Fri, 25 Nov 2022 13:43:21 GMT", "version": "v1" } ]
2022-11-28
[ [ "Careil", "Marlène", "" ], [ "Lathuilière", "Stéphane", "" ], [ "Couprie", "Camille", "" ], [ "Verbeek", "Jakob", "" ] ]
Generative image models have been extensively studied in recent years. In the unconditional setting, they model the marginal distribution from unlabelled images. To allow for more control, image synthesis can be conditioned on semantic segmentation maps that instruct the generator the position of objects in the image. ...
2008.00208
Simeng Bian
Simeng Bian, Xi Huang, Ziyu Shao, Xin Gao, Yang Yang
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective
null
null
null
null
cs.NI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For state-of-the-art network function virtualization (NFV) systems, it remains a key challenge to conduct effective service chain composition for different network services (NSs) with ultra-low request latencies and minimum network congestion. To this end, existing solutions often require full knowledge of the networ...
[ { "created": "Sat, 1 Aug 2020 07:58:14 GMT", "version": "v1" } ]
2020-08-04
[ [ "Bian", "Simeng", "" ], [ "Huang", "Xi", "" ], [ "Shao", "Ziyu", "" ], [ "Gao", "Xin", "" ], [ "Yang", "Yang", "" ] ]
For state-of-the-art network function virtualization (NFV) systems, it remains a key challenge to conduct effective service chain composition for different network services (NSs) with ultra-low request latencies and minimum network congestion. To this end, existing solutions often require full knowledge of the network ...
2404.14442
Donghwan Lee
Donghwan Lee
Unified ODE Analysis of Smooth Q-Learning Algorithms
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convergence of Q-learning has been the focus of extensive research over the past several decades. Recently, an asymptotic convergence analysis for Q-learning was introduced using a switching system framework. This approach applies the so-called ordinary differential equation (ODE) approach to prove the convergence of...
[ { "created": "Sat, 20 Apr 2024 01:16:27 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 04:22:51 GMT", "version": "v2" } ]
2024-04-25
[ [ "Lee", "Donghwan", "" ] ]
Convergence of Q-learning has been the focus of extensive research over the past several decades. Recently, an asymptotic convergence analysis for Q-learning was introduced using a switching system framework. This approach applies the so-called ordinary differential equation (ODE) approach to prove the convergence of t...
1112.2188
Chih-Yu Wang
Chih-Yu Wang and Yan Chen and K. J. Ray Liu
Chinese Restaurant Game - Part I: Theory of Learning with Negative Network Externality
null
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a social network, agents are intelligent and have the capability to make decisions to maximize their utilities. They can either make wise decisions by taking advantages of other agents' experiences through learning, or make decisions earlier to avoid competitions from huge crowds. Both these two effects, social le...
[ { "created": "Fri, 9 Dec 2011 19:33:06 GMT", "version": "v1" }, { "created": "Thu, 15 Dec 2011 00:21:47 GMT", "version": "v2" }, { "created": "Mon, 13 Feb 2012 07:20:48 GMT", "version": "v3" } ]
2012-02-14
[ [ "Wang", "Chih-Yu", "" ], [ "Chen", "Yan", "" ], [ "Liu", "K. J. Ray", "" ] ]
In a social network, agents are intelligent and have the capability to make decisions to maximize their utilities. They can either make wise decisions by taking advantages of other agents' experiences through learning, or make decisions earlier to avoid competitions from huge crowds. Both these two effects, social lear...
2011.00975
Dominique Fohr
Dominique Fohr, Irina Illina
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The word error rate (WER) of an automatic speech recognition (ASR) system increases when a mismatch occurs between the training and the testing conditions due to the noise, etc. In this case, the acoustic information can be less reliable. This work aims to improve ASR by modeling long-term semantic relations to compe...
[ { "created": "Mon, 2 Nov 2020 13:50:59 GMT", "version": "v1" } ]
2020-11-03
[ [ "Fohr", "Dominique", "" ], [ "Illina", "Irina", "" ] ]
The word error rate (WER) of an automatic speech recognition (ASR) system increases when a mismatch occurs between the training and the testing conditions due to the noise, etc. In this case, the acoustic information can be less reliable. This work aims to improve ASR by modeling long-term semantic relations to compens...
2211.10806
Constantinos Patsakis
Alexandros Zacharis and Constantinos Patsakis
AiCEF: An AI-assisted Cyber Exercise Content Generation Framework Using Named Entity Recognition
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Content generation that is both relevant and up to date with the current threats of the target audience is a critical element in the success of any Cyber Security Exercise (CSE). Through this work, we explore the results of applying machine learning techniques to unstructured information sources to generate structure...
[ { "created": "Sat, 19 Nov 2022 21:42:12 GMT", "version": "v1" } ]
2022-11-22
[ [ "Zacharis", "Alexandros", "" ], [ "Patsakis", "Constantinos", "" ] ]
Content generation that is both relevant and up to date with the current threats of the target audience is a critical element in the success of any Cyber Security Exercise (CSE). Through this work, we explore the results of applying machine learning techniques to unstructured information sources to generate structured ...
1608.05170
Cory James Kleinheksel
Cory J. Kleinheksel and Arun K. Somani
Resource efficient redundancy using quorum-based cycle routing in optical networks
17th International Conference on Transparent Optical Networks (ICTON), 5-9 July 2015. arXiv admin note: substantial text overlap with arXiv:1608.05172, arXiv:1608.05168
2015 17th International Conference on Transparent Optical Networks (ICTON), Budapest, 2015, pp. 1-4
10.1109/ICTON.2015.7193340
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a cycle redundancy technique that provides optical networks almost fault-tolerant point-to-point and multipoint-to-multipoint communications. The technique more importantly is shown to approximately halve the necessary light-trail resources in the network while maintaining the fault-tolerance...
[ { "created": "Thu, 18 Aug 2016 04:35:50 GMT", "version": "v1" } ]
2016-08-20
[ [ "Kleinheksel", "Cory J.", "" ], [ "Somani", "Arun K.", "" ] ]
In this paper we propose a cycle redundancy technique that provides optical networks almost fault-tolerant point-to-point and multipoint-to-multipoint communications. The technique more importantly is shown to approximately halve the necessary light-trail resources in the network while maintaining the fault-tolerance a...
1009.4787
Barak Raveh
Itamar Berger, Bosmat Eldar, Gal Zohar, Barak Raveh and Dan Halperin
Improving the Quality of Non-Holonomic Motion by Hybridizing C-PRM Paths
2 pages
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sampling-based motion planners are an effective means for generating collision-free motion paths. However, the quality of these motion paths, with respect to different quality measures such as path length, clearance, smoothness or energy, is often notoriously low. This problem is accentuated in the case of non-holono...
[ { "created": "Fri, 24 Sep 2010 09:12:58 GMT", "version": "v1" } ]
2010-09-27
[ [ "Berger", "Itamar", "" ], [ "Eldar", "Bosmat", "" ], [ "Zohar", "Gal", "" ], [ "Raveh", "Barak", "" ], [ "Halperin", "Dan", "" ] ]
Sampling-based motion planners are an effective means for generating collision-free motion paths. However, the quality of these motion paths, with respect to different quality measures such as path length, clearance, smoothness or energy, is often notoriously low. This problem is accentuated in the case of non-holonomi...
2405.06275
Nan Zhang
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
Pruning as a Domain-specific LLM Extractor
NAACL 2024 Findings
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have exhibited remarkable proficiency across a wide array of NLP tasks. However, the escalation in model size also engenders substantial deployment costs. While few efforts have explored model pruning techniques to reduce the size of LLMs, they mainly center on general or task-specific we...
[ { "created": "Fri, 10 May 2024 07:05:02 GMT", "version": "v1" } ]
2024-05-13
[ [ "Zhang", "Nan", "" ], [ "Liu", "Yanchi", "" ], [ "Zhao", "Xujiang", "" ], [ "Cheng", "Wei", "" ], [ "Bao", "Runxue", "" ], [ "Zhang", "Rui", "" ], [ "Mitra", "Prasenjit", "" ], [ "Chen", "Haifen...
Large Language Models (LLMs) have exhibited remarkable proficiency across a wide array of NLP tasks. However, the escalation in model size also engenders substantial deployment costs. While few efforts have explored model pruning techniques to reduce the size of LLMs, they mainly center on general or task-specific weig...
2104.10022
Bilal Farooq
Sayed Mehdi Meshkani and Bilal Farooq
A Decentralized Shared CAV System Design and Application
Presented at TRISTAN X, 17-21 June 2019, Hamilton Island, Australia
null
null
null
cs.DC cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this study, we propose a novel heuristic two-step algorithm for shared ridehailing in which users can share their rides with only one more user. The algorithm, which is centrally formulated, starts with matching users and creating a set of passenger pairs in step 1 and is followed by solving an assignment problem ...
[ { "created": "Sat, 17 Apr 2021 18:40:45 GMT", "version": "v1" } ]
2021-04-21
[ [ "Meshkani", "Sayed Mehdi", "" ], [ "Farooq", "Bilal", "" ] ]
In this study, we propose a novel heuristic two-step algorithm for shared ridehailing in which users can share their rides with only one more user. The algorithm, which is centrally formulated, starts with matching users and creating a set of passenger pairs in step 1 and is followed by solving an assignment problem to...
2205.03628
Xinwei Fang
Xinwei Fang, Radu Calinescu, Colin Paterson, Julie Wilson
PRESTO: Predicting System-level Disruptions through Parametric Model Checking
17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-adaptive systems are expected to mitigate disruptions by continually adjusting their configuration and behaviour. This mitigation is often reactive. Typically, environmental or internal changes trigger a system response only after a violation of the system requirements. Despite a broad agreement that prevention ...
[ { "created": "Sat, 7 May 2022 10:48:32 GMT", "version": "v1" } ]
2022-05-10
[ [ "Fang", "Xinwei", "" ], [ "Calinescu", "Radu", "" ], [ "Paterson", "Colin", "" ], [ "Wilson", "Julie", "" ] ]
Self-adaptive systems are expected to mitigate disruptions by continually adjusting their configuration and behaviour. This mitigation is often reactive. Typically, environmental or internal changes trigger a system response only after a violation of the system requirements. Despite a broad agreement that prevention is...
2403.13647
Junjie Chen
Junjie Chen and Jiebin Yan and Yuming Fang and Li Niu
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Published in CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. Existing methods only rely on the features extracted at support keypoints to predict or refine the keypoints on query image, but a few support feature vectors are local and ina...
[ { "created": "Wed, 20 Mar 2024 14:54:33 GMT", "version": "v1" } ]
2024-03-21
[ [ "Chen", "Junjie", "" ], [ "Yan", "Jiebin", "" ], [ "Fang", "Yuming", "" ], [ "Niu", "Li", "" ] ]
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. Existing methods only rely on the features extracted at support keypoints to predict or refine the keypoints on query image, but a few support feature vectors are local and inade...
2405.05647
David Wood
Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C Booth
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This letter critically examines the recent article by Infante et al. assessing the utility of large language models (LLMs) like GPT-4, Perplexity, and Bard in identifying urgent findings in emergency radiology reports. While acknowledging the potential of LLMs in generating labels for computer vision, concerns are ra...
[ { "created": "Thu, 9 May 2024 09:41:19 GMT", "version": "v1" } ]
2024-05-10
[ [ "Agarwal", "Siddharth", "" ], [ "Wood", "David", "" ], [ "Carpenter", "Robin", "" ], [ "Wei", "Yiran", "" ], [ "Modat", "Marc", "" ], [ "Booth", "Thomas C", "" ] ]
This letter critically examines the recent article by Infante et al. assessing the utility of large language models (LLMs) like GPT-4, Perplexity, and Bard in identifying urgent findings in emergency radiology reports. While acknowledging the potential of LLMs in generating labels for computer vision, concerns are rais...
1901.08344
Mamoona Asghar Dr.
Amna Shifa, Mamoona Naveed Asghar, Naila Batool, Martin Fluery
Efficient Lightweight Encryption Algorithm for Smart Video Applications
FIT-2018 Conference Paper
null
10.1109/FIT.2018.00032
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The future generation networks: Internet of things (IoT), in combination with the advanced computer vision techniques poses new challenges for securing videos for end-users. The visual devices generally have constrained resources in respects to their low computation power, small memory with limited power supply. Ther...
[ { "created": "Thu, 24 Jan 2019 10:53:44 GMT", "version": "v1" } ]
2019-01-25
[ [ "Shifa", "Amna", "" ], [ "Asghar", "Mamoona Naveed", "" ], [ "Batool", "Naila", "" ], [ "Fluery", "Martin", "" ] ]
The future generation networks: Internet of things (IoT), in combination with the advanced computer vision techniques poses new challenges for securing videos for end-users. The visual devices generally have constrained resources in respects to their low computation power, small memory with limited power supply. Theref...
1612.01904
Shengyu Zhu
Shengyu Zhu and Biao Chen
Distributed Detection in Ad Hoc Networks Through Quantized Consensus
Accepted to IEEE Transactions on Information Theory
null
10.1109/TIT.2018.2865108
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study asymptotic performance of distributed detection in large scale connected sensor networks. Contrasting to the canonical parallel network where a single node has access to local decisions from all other nodes, each node can only exchange information with its direct neighbors in the present setting. We establis...
[ { "created": "Tue, 6 Dec 2016 16:49:34 GMT", "version": "v1" }, { "created": "Thu, 10 Aug 2017 19:41:52 GMT", "version": "v2" }, { "created": "Thu, 29 Mar 2018 14:03:27 GMT", "version": "v3" }, { "created": "Sun, 14 Oct 2018 05:57:44 GMT", "version": "v4" } ]
2018-10-16
[ [ "Zhu", "Shengyu", "" ], [ "Chen", "Biao", "" ] ]
We study asymptotic performance of distributed detection in large scale connected sensor networks. Contrasting to the canonical parallel network where a single node has access to local decisions from all other nodes, each node can only exchange information with its direct neighbors in the present setting. We establish ...
1602.06913
Qunwei Li
Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, and Jiangbo Si
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT
30 pages, 8 figures, submitted to IEEE Transactions on Wireless Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A multiple-input single-output cognitive radio downlink network is studied with simultaneous wireless information and power transfer. In this network, a secondary user coexists with multiple primary users and multiple energy harvesting receivers. In order to guarantee secure communication and energy harvesting, the p...
[ { "created": "Mon, 22 Feb 2016 19:50:30 GMT", "version": "v1" } ]
2016-02-23
[ [ "Zhou", "Fuhui", "" ], [ "Li", "Zan", "" ], [ "Cheng", "Julian", "" ], [ "Li", "Qunwei", "" ], [ "Si", "Jiangbo", "" ] ]
A multiple-input single-output cognitive radio downlink network is studied with simultaneous wireless information and power transfer. In this network, a secondary user coexists with multiple primary users and multiple energy harvesting receivers. In order to guarantee secure communication and energy harvesting, the pro...
2402.08662
Steve Heim
Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim
Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback
ICRA 2024, 8 pages 7 Figures
null
null
null
cs.RO cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
We present a minimal phase oscillator model for learning quadrupedal locomotion. Each of the four oscillators is coupled only to itself and its corresponding leg through local feedback of the ground reaction force, which can be interpreted as an observer feedback gain. We interpret the oscillator itself as a latent c...
[ { "created": "Tue, 13 Feb 2024 18:46:10 GMT", "version": "v1" }, { "created": "Sat, 17 Feb 2024 17:50:28 GMT", "version": "v2" } ]
2024-02-20
[ [ "Zhang", "Jenny", "" ], [ "Heim", "Steve", "" ], [ "Jeon", "Se Hwan", "" ], [ "Kim", "Sangbae", "" ] ]
We present a minimal phase oscillator model for learning quadrupedal locomotion. Each of the four oscillators is coupled only to itself and its corresponding leg through local feedback of the ground reaction force, which can be interpreted as an observer feedback gain. We interpret the oscillator itself as a latent con...
2308.15188
Shufang Zhu
Giuseppe De Giacomo, Gianmarco Parretti, Shufang Zhu
LTLf Best-Effort Synthesis in Nondeterministic Planning Domains
To appear at ECAI2023
null
null
null
cs.AI cs.FL cs.GT cs.RO
http://creativecommons.org/licenses/by/4.0/
We study best-effort strategies (aka plans) in fully observable nondeterministic domains (FOND) for goals expressed in Linear Temporal Logic on Finite Traces (LTLf). The notion of best-effort strategy has been introduced to also deal with the scenario when no agent strategy exists that fulfills the goal against every...
[ { "created": "Tue, 29 Aug 2023 10:10:41 GMT", "version": "v1" } ]
2023-08-30
[ [ "De Giacomo", "Giuseppe", "" ], [ "Parretti", "Gianmarco", "" ], [ "Zhu", "Shufang", "" ] ]
We study best-effort strategies (aka plans) in fully observable nondeterministic domains (FOND) for goals expressed in Linear Temporal Logic on Finite Traces (LTLf). The notion of best-effort strategy has been introduced to also deal with the scenario when no agent strategy exists that fulfills the goal against every p...
2407.07788
Younggyo Seo
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
Project webpage: https://chernyadev.github.io/bigym/
null
null
null
cs.RO cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce BiGym, a new benchmark and learning environment for mobile bi-manual demo-driven robotic manipulation. BiGym features 40 diverse tasks set in home environments, ranging from simple target reaching to complex kitchen cleaning. To capture the real-world performance accurately, we provide human-collected de...
[ { "created": "Wed, 10 Jul 2024 16:04:18 GMT", "version": "v1" }, { "created": "Thu, 11 Jul 2024 16:26:09 GMT", "version": "v2" } ]
2024-07-12
[ [ "Chernyadev", "Nikita", "" ], [ "Backshall", "Nicholas", "" ], [ "Ma", "Xiao", "" ], [ "Lu", "Yunfan", "" ], [ "Seo", "Younggyo", "" ], [ "James", "Stephen", "" ] ]
We introduce BiGym, a new benchmark and learning environment for mobile bi-manual demo-driven robotic manipulation. BiGym features 40 diverse tasks set in home environments, ranging from simple target reaching to complex kitchen cleaning. To capture the real-world performance accurately, we provide human-collected demo...
2203.10144
Ziyue Xu
An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, and Ziyue Xu
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
CVPR 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Cross-silo federated learning (FL) has attracted much attention in medical imaging analysis with deep learning in recent years as it can resolve the critical issues of insufficient data, data privacy, and training efficiency. However, there can be a generalization gap between the model trained from FL and the one fro...
[ { "created": "Fri, 18 Mar 2022 19:50:07 GMT", "version": "v1" }, { "created": "Thu, 23 Feb 2023 14:39:01 GMT", "version": "v2" } ]
2023-02-24
[ [ "Xu", "An", "" ], [ "Li", "Wenqi", "" ], [ "Guo", "Pengfei", "" ], [ "Yang", "Dong", "" ], [ "Roth", "Holger", "" ], [ "Hatamizadeh", "Ali", "" ], [ "Zhao", "Can", "" ], [ "Xu", "Daguang", "...
Cross-silo federated learning (FL) has attracted much attention in medical imaging analysis with deep learning in recent years as it can resolve the critical issues of insufficient data, data privacy, and training efficiency. However, there can be a generalization gap between the model trained from FL and the one from ...
2404.14239
Chenyang Zhu
Chenyang Zhu, Kai Li, Yue Ma, Chunming He and Li Xiu
MultiBooth: Towards Generating All Your Concepts in an Image from Text
Project Page: https://multibooth.github.io/ . Github Page: https://github.com/chenyangzhu1/MultiBooth
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces MultiBooth, a novel and efficient technique for multi-concept customization in image generation from text. Despite the significant advancements in customized generation methods, particularly with the success of diffusion models, existing methods often struggle with multi-concept scenarios due to...
[ { "created": "Mon, 22 Apr 2024 14:47:54 GMT", "version": "v1" } ]
2024-04-23
[ [ "Zhu", "Chenyang", "" ], [ "Li", "Kai", "" ], [ "Ma", "Yue", "" ], [ "He", "Chunming", "" ], [ "Xiu", "Li", "" ] ]
This paper introduces MultiBooth, a novel and efficient technique for multi-concept customization in image generation from text. Despite the significant advancements in customized generation methods, particularly with the success of diffusion models, existing methods often struggle with multi-concept scenarios due to l...
cs/0509067
Anton Leykin
Anton Leykin and Jan Verschelde
Decomposing Solution Sets of Polynomial Systems: A New Parallel Monodromy Breakup Algorithm
15 pages
null
null
null
cs.DC cs.NA math.AG
null
We consider the numerical irreducible decomposition of a positive dimensional solution set of a polynomial system into irreducible factors. Path tracking techniques computing loops around singularities connect points on the same irreducible components. The computation of a linear trace for each factor certifies the d...
[ { "created": "Wed, 21 Sep 2005 20:55:09 GMT", "version": "v1" } ]
2009-11-16
[ [ "Leykin", "Anton", "" ], [ "Verschelde", "Jan", "" ] ]
We consider the numerical irreducible decomposition of a positive dimensional solution set of a polynomial system into irreducible factors. Path tracking techniques computing loops around singularities connect points on the same irreducible components. The computation of a linear trace for each factor certifies the dec...
1901.03136
Franziska Horn
Lea Helmers, Franziska Horn, Franziska Biegler, Tim Oppermann, Klaus-Robert M\"uller
Automating the search for a patent's prior art with a full text similarity search
null
PLoS ONE 14(3): e0212103 (2019)
10.1371/journal.pone.0212103
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given pate...
[ { "created": "Thu, 10 Jan 2019 13:04:25 GMT", "version": "v1" }, { "created": "Mon, 4 Mar 2019 19:45:29 GMT", "version": "v2" } ]
2019-03-06
[ [ "Helmers", "Lea", "" ], [ "Horn", "Franziska", "" ], [ "Biegler", "Franziska", "" ], [ "Oppermann", "Tim", "" ], [ "Müller", "Klaus-Robert", "" ] ]
More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given patent...
2307.15199
Junhyeong Cho
Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Accepted to ICCV 2023, Project Page: https://promptstyler.github.io/
null
null
null
cs.CV cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
In a joint vision-language space, a text feature (e.g., from "a photo of a dog") could effectively represent its relevant image features (e.g., from dog photos). Also, a recent study has demonstrated the cross-modal transferability phenomenon of this joint space. From these observations, we propose PromptStyler which...
[ { "created": "Thu, 27 Jul 2023 21:14:46 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2023 08:30:45 GMT", "version": "v2" } ]
2023-08-16
[ [ "Cho", "Junhyeong", "" ], [ "Nam", "Gilhyun", "" ], [ "Kim", "Sungyeon", "" ], [ "Yang", "Hunmin", "" ], [ "Kwak", "Suha", "" ] ]
In a joint vision-language space, a text feature (e.g., from "a photo of a dog") could effectively represent its relevant image features (e.g., from dog photos). Also, a recent study has demonstrated the cross-modal transferability phenomenon of this joint space. From these observations, we propose PromptStyler which s...
1903.04246
Bastien Moysset
Bastien Moysset and Ronaldo Messina
Manifold Mixup improves text recognition with CTC loss
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern handwritten text recognition techniques employ deep recurrent neural networks. The use of these techniques is especially efficient when a large amount of annotated data is available for parameter estimation. Data augmentation can be used to enhance the performance of the systems when data is scarce. Manifold M...
[ { "created": "Mon, 11 Mar 2019 12:34:16 GMT", "version": "v1" } ]
2019-03-12
[ [ "Moysset", "Bastien", "" ], [ "Messina", "Ronaldo", "" ] ]
Modern handwritten text recognition techniques employ deep recurrent neural networks. The use of these techniques is especially efficient when a large amount of annotated data is available for parameter estimation. Data augmentation can be used to enhance the performance of the systems when data is scarce. Manifold Mix...
2404.04004
Robin Kirschner
Robin Jeanne Kirschner, Carina M. Micheler, Yangcan Zhou, Sebastian Siegner, Mazin Hamad, Claudio Glowalla, Jan Neumann, Nader Rajaei, Rainer Burgkart and Sami Haddadin
Towards Safe Robot Use with Edged or Pointed Objects: A Surrogate Study Assembling a Human Hand Injury Protection Database
accepted fo presentation at IEEE ICRA 2024
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of pointed or edged tools or objects is one of the most challenging aspects of today's application of physical human-robot interaction (pHRI). One reason for this is that the severity of harm caused by such edged or pointed impactors is less well studied than for blunt impactors. Consequently, the standards s...
[ { "created": "Fri, 5 Apr 2024 10:27:48 GMT", "version": "v1" } ]
2024-04-08
[ [ "Kirschner", "Robin Jeanne", "" ], [ "Micheler", "Carina M.", "" ], [ "Zhou", "Yangcan", "" ], [ "Siegner", "Sebastian", "" ], [ "Hamad", "Mazin", "" ], [ "Glowalla", "Claudio", "" ], [ "Neumann", "Jan", ""...
The use of pointed or edged tools or objects is one of the most challenging aspects of today's application of physical human-robot interaction (pHRI). One reason for this is that the severity of harm caused by such edged or pointed impactors is less well studied than for blunt impactors. Consequently, the standards spe...
1810.12557
Viet-Trung Tran
Hong-Hai Phan-Vu, Viet-Trung Tran, Van-Nam Nguyen, Hoang-Vu Dang, Phan-Thuan Do
Machine Translation between Vietnamese and English: an Empirical Study
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine translation is shifting to an end-to-end approach based on deep neural networks. The state of the art achieves impressive results for popular language pairs such as English - French or English - Chinese. However for English - Vietnamese the shortage of parallel corpora and expensive hyper-parameter search pre...
[ { "created": "Tue, 30 Oct 2018 07:33:52 GMT", "version": "v1" } ]
2018-10-31
[ [ "Phan-Vu", "Hong-Hai", "" ], [ "Tran", "Viet-Trung", "" ], [ "Nguyen", "Van-Nam", "" ], [ "Dang", "Hoang-Vu", "" ], [ "Do", "Phan-Thuan", "" ] ]
Machine translation is shifting to an end-to-end approach based on deep neural networks. The state of the art achieves impressive results for popular language pairs such as English - French or English - Chinese. However for English - Vietnamese the shortage of parallel corpora and expensive hyper-parameter search prese...
1405.7268
L.T. Handoko
A.A. Waskita, H. Suhartanto, P.D. Persadha, L.T. Handoko
A simple statistical analysis approach for Intrusion Detection System
Proceeding of the IEEE Conference on Systems, Process and Control (2013) pp. 193-197
null
10.1109/SPC.2013.6735130
INFORMATIKALIPI-13040
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system contin...
[ { "created": "Tue, 27 May 2014 04:48:09 GMT", "version": "v1" } ]
2014-05-29
[ [ "Waskita", "A. A.", "" ], [ "Suhartanto", "H.", "" ], [ "Persadha", "P. D.", "" ], [ "Handoko", "L. T.", "" ] ]
A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system continuo...
2205.01217
Indira Sen
Indira Sen, Daniele Quercia, Licia Capra, Matteo Montecchi, Sanja \v{S}\'cepanovi\'c
Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews
9 pages + 15 pages of appendix, to appear in Humanities & Social Sciences Communications
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of lack of methodologies operationalizing these internal sustainability practices, and of data honestly documenting such efforts. We developed and val...
[ { "created": "Mon, 2 May 2022 21:24:56 GMT", "version": "v1" }, { "created": "Thu, 13 Apr 2023 15:42:36 GMT", "version": "v2" } ]
2023-04-14
[ [ "Sen", "Indira", "" ], [ "Quercia", "Daniele", "" ], [ "Capra", "Licia", "" ], [ "Montecchi", "Matteo", "" ], [ "Šćepanović", "Sanja", "" ] ]
It is hard to establish whether a company supports internal sustainability efforts (ISEs) like gender equality, diversity, and general staff welfare, not least because of lack of methodologies operationalizing these internal sustainability practices, and of data honestly documenting such efforts. We developed and valid...
2205.02071
Zhenyue Qin
Zhenyue Qin, Yang Liu, Madhawa Perera, Tom Gedeon, Pan Ji, Dongwoo Kim, Saeed Anwar
ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Skeleton-based action recognition, as a subarea of action recognition, is swiftly accumulating attention and popularity. The task is to recognize actions performed by human articulation points. Compared with other data modalities, 3D human skeleton representations have extensive unique desirable characteristics, incl...
[ { "created": "Wed, 4 May 2022 14:03:43 GMT", "version": "v1" }, { "created": "Thu, 5 May 2022 01:06:52 GMT", "version": "v2" }, { "created": "Sun, 8 May 2022 04:36:52 GMT", "version": "v3" } ]
2022-05-10
[ [ "Qin", "Zhenyue", "" ], [ "Liu", "Yang", "" ], [ "Perera", "Madhawa", "" ], [ "Gedeon", "Tom", "" ], [ "Ji", "Pan", "" ], [ "Kim", "Dongwoo", "" ], [ "Anwar", "Saeed", "" ] ]
Skeleton-based action recognition, as a subarea of action recognition, is swiftly accumulating attention and popularity. The task is to recognize actions performed by human articulation points. Compared with other data modalities, 3D human skeleton representations have extensive unique desirable characteristics, includ...
1702.03660
Federico Renda
Federico Renda, Frederic Boyer, Jorge Dias, Lakmal Seneviratne
Discrete Cosserat Approach for Multi-Section Soft Robots Dynamics
13 pages, 9 figures
IEEE Transaction on Robotics, 2018
10.1109/TRO.2018.2868815
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In spite of recent progress, soft robotics still suffers from a lack of unified modeling framework. Nowadays, the most adopted model for the design and control of soft robots is the piece-wise constant curvature model, with its consolidated benefits and drawbacks. In this work, an alternative model for multisection s...
[ { "created": "Mon, 13 Feb 2017 07:34:37 GMT", "version": "v1" } ]
2018-10-25
[ [ "Renda", "Federico", "" ], [ "Boyer", "Frederic", "" ], [ "Dias", "Jorge", "" ], [ "Seneviratne", "Lakmal", "" ] ]
In spite of recent progress, soft robotics still suffers from a lack of unified modeling framework. Nowadays, the most adopted model for the design and control of soft robots is the piece-wise constant curvature model, with its consolidated benefits and drawbacks. In this work, an alternative model for multisection sof...
1712.08996
ElMouatez Billah Karbab
ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb
Android Malware Detection using Deep Learning on API Method Sequences
17 pages, submitted to Elsevier Digital Investigations Journal
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the expense of security, as it has become a tempting target of malicious apps. Hence,...
[ { "created": "Mon, 25 Dec 2017 03:26:21 GMT", "version": "v1" } ]
2017-12-27
[ [ "Karbab", "ElMouatez Billah", "" ], [ "Debbabi", "Mourad", "" ], [ "Derhab", "Abdelouahid", "" ], [ "Mouheb", "Djedjiga", "" ] ]
Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the expense of security, as it has become a tempting target of malicious apps. Hence, t...
2011.05286
Kelvin Xu
Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
To appear at NeurIPS 2020
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Reinforcement learning has the potential to automate the acquisition of behavior in complex settings, but in order for it to be successfully deployed, a number of practical challenges must be addressed. First, in real world settings, when an agent attempts a task and fails, the environment must somehow "reset" so tha...
[ { "created": "Tue, 10 Nov 2020 18:07:44 GMT", "version": "v1" } ]
2020-11-11
[ [ "Xu", "Kelvin", "" ], [ "Verma", "Siddharth", "" ], [ "Finn", "Chelsea", "" ], [ "Levine", "Sergey", "" ] ]
Reinforcement learning has the potential to automate the acquisition of behavior in complex settings, but in order for it to be successfully deployed, a number of practical challenges must be addressed. First, in real world settings, when an agent attempts a task and fails, the environment must somehow "reset" so that ...
2107.10052
Qi Zhang
Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan
Efficient Top-k Ego-Betweenness Search
null
null
null
null
cs.DB
http://creativecommons.org/publicdomain/zero/1.0/
Betweenness centrality, measured by the number of times a vertex occurs on all shortest paths of a graph, has been recognized as a key indicator for the importance of a vertex in the network. However, the betweenness of a vertex is often very hard to compute because it needs to explore all the shortest paths between ...
[ { "created": "Wed, 21 Jul 2021 12:46:52 GMT", "version": "v1" } ]
2021-07-22
[ [ "Zhang", "Qi", "" ], [ "Li", "Rong-Hua", "" ], [ "Pan", "Minjia", "" ], [ "Dai", "Yongheng", "" ], [ "Wang", "Guoren", "" ], [ "Yuan", "Ye", "" ] ]
Betweenness centrality, measured by the number of times a vertex occurs on all shortest paths of a graph, has been recognized as a key indicator for the importance of a vertex in the network. However, the betweenness of a vertex is often very hard to compute because it needs to explore all the shortest paths between th...
2401.11519
Daniele Rege Cambrin
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
CaBuAr: California Burned Areas dataset for delineation
Accepted at the IEEE Geoscience and Remote Sensing Magazine
null
10.1109/MGRS.2023.3292467
D. R. Cambrin, L. Colomba and P. Garza, "CaBuAr: California burned areas dataset for delineation [Software and Data Sets]," in IEEE Geoscience and Remote Sensing Magazine, vol. 11, no. 3, pp. 106-113, Sept. 2023
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Forest wildfires represent one of the catastrophic events that, over the last decades, caused huge environmental and humanitarian damages. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society in both short-term (e.g., temporary city evacuation due to fire) and long-term...
[ { "created": "Sun, 21 Jan 2024 15:22:15 GMT", "version": "v1" } ]
2024-01-23
[ [ "Cambrin", "Daniele Rege", "" ], [ "Colomba", "Luca", "" ], [ "Garza", "Paolo", "" ] ]
Forest wildfires represent one of the catastrophic events that, over the last decades, caused huge environmental and humanitarian damages. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society in both short-term (e.g., temporary city evacuation due to fire) and long-term (...
1808.05361
Feng Yuan
Feng Yuan (1), Lina Yao (1), and Boualem Benatallah (1) ((1) The University of New South Wales)
Adversarial Collaborative Auto-encoder for Top-N Recommendation
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During the past decade, model-based recommendation methods have evolved from latent factor models to neural network-based models. Most of these techniques mainly focus on improving the overall performance, such as the root mean square error for rating predictions and hit ratio for top-N recommendation, where the user...
[ { "created": "Thu, 16 Aug 2018 07:11:22 GMT", "version": "v1" } ]
2018-08-17
[ [ "Yuan", "Feng", "" ], [ "Yao", "Lina", "" ], [ "Benatallah", "Boualem", "" ] ]
During the past decade, model-based recommendation methods have evolved from latent factor models to neural network-based models. Most of these techniques mainly focus on improving the overall performance, such as the root mean square error for rating predictions and hit ratio for top-N recommendation, where the users'...
1805.00889
Justin Salamon
Juan Pablo Bello, Claudio Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, Harish Doraiswamy
SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution
Accepted May 2018, Communications of the ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record will be published in Communications of the ACM
null
null
null
cs.SD cs.CY cs.HC eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the Sounds of New York City (SONYC) project, a smart cities initiative focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution. Noise pollution is one of the topmost quality of life issues for urban residents in the U.S. with proven effects on heal...
[ { "created": "Wed, 2 May 2018 16:07:39 GMT", "version": "v1" }, { "created": "Fri, 18 May 2018 19:23:01 GMT", "version": "v2" } ]
2018-05-22
[ [ "Bello", "Juan Pablo", "" ], [ "Silva", "Claudio", "" ], [ "Nov", "Oded", "" ], [ "DuBois", "R. Luke", "" ], [ "Arora", "Anish", "" ], [ "Salamon", "Justin", "" ], [ "Mydlarz", "Charles", "" ], [ "D...
We present the Sounds of New York City (SONYC) project, a smart cities initiative focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution. Noise pollution is one of the topmost quality of life issues for urban residents in the U.S. with proven effects on health...
2303.11217
Jean Prost
Jean Prost and Antoine Houdard and Andr\'es Almansa and Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders
null
2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023, pp. 22837-22848
10.1109/ICCV51070.2023.02093
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose to regularize ill-posed inverse problems using a deep hierarchical variational autoencoder (HVAE) as an image prior. The proposed method synthesizes the advantages of i) denoiser-based Plug \& Play approaches and ii) generative model based approaches to inverse problems. First, we exploit VA...
[ { "created": "Mon, 20 Mar 2023 15:49:18 GMT", "version": "v1" }, { "created": "Fri, 29 Sep 2023 13:28:50 GMT", "version": "v2" } ]
2024-05-24
[ [ "Prost", "Jean", "" ], [ "Houdard", "Antoine", "" ], [ "Almansa", "Andrés", "" ], [ "Papadakis", "Nicolas", "" ] ]
In this paper, we propose to regularize ill-posed inverse problems using a deep hierarchical variational autoencoder (HVAE) as an image prior. The proposed method synthesizes the advantages of i) denoiser-based Plug \& Play approaches and ii) generative model based approaches to inverse problems. First, we exploit VAE ...
2203.07934
Tobias Pfandzelter
Tobias Pfandzelter, Trever Schirmer, David Bermbach
Towards Distributed Coordination for Fog Platforms
Accepted for publication at the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) Poster Track
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed fog and edge applications communicate over unreliable networks and are subject to high communication delays. This makes using existing distributed coordination technologies from cloud applications infeasible, as they are built on the assumption of a highly reliable, low-latency datacenter network to achie...
[ { "created": "Tue, 15 Mar 2022 14:20:15 GMT", "version": "v1" } ]
2022-03-16
[ [ "Pfandzelter", "Tobias", "" ], [ "Schirmer", "Trever", "" ], [ "Bermbach", "David", "" ] ]
Distributed fog and edge applications communicate over unreliable networks and are subject to high communication delays. This makes using existing distributed coordination technologies from cloud applications infeasible, as they are built on the assumption of a highly reliable, low-latency datacenter network to achieve...
2312.04328
Guang Yang
Guang Yang, Jie Li, Hanxiao Lei, Xinbo Gao
A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Infrared and visible image fusion aims at generating a fused image containing the intensity and detail information of source images, and the key issue is effectively measuring and integrating the complementary information of multi-modality images from the same scene. Existing methods mostly adopt a simple weight in t...
[ { "created": "Thu, 7 Dec 2023 14:40:05 GMT", "version": "v1" } ]
2023-12-08
[ [ "Yang", "Guang", "" ], [ "Li", "Jie", "" ], [ "Lei", "Hanxiao", "" ], [ "Gao", "Xinbo", "" ] ]
Infrared and visible image fusion aims at generating a fused image containing the intensity and detail information of source images, and the key issue is effectively measuring and integrating the complementary information of multi-modality images from the same scene. Existing methods mostly adopt a simple weight in the...
2304.14166
Eeshan Modak
Eeshan Modak, Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, and Vinod M. Prabhakaran
Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents
This is a slightly edited version of the extended manuscript submitted to ISIT 2023 for review on February 5, 2023; the paper has been accepted for presentation
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Chernoff-Stein exponent of the following binary hypothesis testing problem: Associated with each hypothesis is a set of channels. A transmitter, without knowledge of the hypothesis, chooses the vector of inputs to the channel. Given the hypothesis, from the set associated with the hypothesis, an adversar...
[ { "created": "Thu, 27 Apr 2023 13:08:13 GMT", "version": "v1" } ]
2023-04-28
[ [ "Modak", "Eeshan", "" ], [ "Sangwan", "Neha", "" ], [ "Bakshi", "Mayank", "" ], [ "Dey", "Bikash Kumar", "" ], [ "Prabhakaran", "Vinod M.", "" ] ]
We study the Chernoff-Stein exponent of the following binary hypothesis testing problem: Associated with each hypothesis is a set of channels. A transmitter, without knowledge of the hypothesis, chooses the vector of inputs to the channel. Given the hypothesis, from the set associated with the hypothesis, an adversary ...
2202.02270
Jonatan Langlet
Jonatan Langlet, Ran Ben Basat, Gabriele Oliaro, Michael Mitzenmacher, Minlan Yu, Gianni Antichi
Direct Telemetry Access
As appearing in the proceedings of ACM SIGCOMM'23
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fine-grained network telemetry is becoming a modern datacenter standard and is the basis of essential applications such as congestion control, load balancing, and advanced troubleshooting. As network size increases and telemetry gets more fine-grained, there is a tremendous growth in the amount of data needed to be r...
[ { "created": "Fri, 4 Feb 2022 17:55:09 GMT", "version": "v1" }, { "created": "Wed, 21 Sep 2022 10:28:03 GMT", "version": "v2" }, { "created": "Thu, 10 Aug 2023 10:11:07 GMT", "version": "v3" } ]
2023-08-11
[ [ "Langlet", "Jonatan", "" ], [ "Basat", "Ran Ben", "" ], [ "Oliaro", "Gabriele", "" ], [ "Mitzenmacher", "Michael", "" ], [ "Yu", "Minlan", "" ], [ "Antichi", "Gianni", "" ] ]
Fine-grained network telemetry is becoming a modern datacenter standard and is the basis of essential applications such as congestion control, load balancing, and advanced troubleshooting. As network size increases and telemetry gets more fine-grained, there is a tremendous growth in the amount of data needed to be rep...
2309.13979
Gordana Dodig-Crnkovic
Gordana Dodig-Crnkovic
Morphological Computing as Logic Underlying Cognition in Human, Animal, and Intelligent Machine
20 pages, no figures
null
null
null
cs.OH cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inheren...
[ { "created": "Mon, 25 Sep 2023 09:31:25 GMT", "version": "v1" } ]
2023-09-26
[ [ "Dodig-Crnkovic", "Gordana", "" ] ]
This work examines the interconnections between logic, epistemology, and sciences within the Naturalist tradition. It presents a scheme that connects logic, mathematics, physics, chemistry, biology, and cognition, emphasizing scale-invariant, self-organizing dynamics across organizational tiers of nature. The inherent ...
2009.09957
Renpeng Zou
Renpeng Zou (1), Xixiang Lv (1), Jingsong Zhao (1) ((1) School of Cyber Engineering, Xidian University, Xian, China)
SPChain: Blockchain-based Medical Data Sharing and Privacy-preserving eHealth System
null
Information Processing & Management, 2021, 58(4): 102604
10.1016/j.ipm.2021.102604
null
cs.CR cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of eHealth systems has brought great convenience to people's life. Researchers have been combining new technologies to make eHealth systems work better for patients. The Blockchain-based eHealth system becomes popular because of its unique distributed tamper-resistant and privacy-preserving features. ...
[ { "created": "Mon, 21 Sep 2020 15:28:45 GMT", "version": "v1" }, { "created": "Mon, 19 Apr 2021 04:51:02 GMT", "version": "v2" } ]
2021-04-20
[ [ "Zou", "Renpeng", "" ], [ "Lv", "Xixiang", "" ], [ "Zhao", "Jingsong", "" ] ]
The development of eHealth systems has brought great convenience to people's life. Researchers have been combining new technologies to make eHealth systems work better for patients. The Blockchain-based eHealth system becomes popular because of its unique distributed tamper-resistant and privacy-preserving features. Ho...
2009.03565
Hoang-Dung Bui
Hoang-Dung Bui, Hai Nguyen, Hung Manh La, and Shuai Li
A Deep Learning-Based Autonomous RobotManipulator for Sorting Application
IEEE Robotic Computing IRC2020
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robot manipulation and grasping mechanisms have received considerable attention in the recent past, leading to the development of wide range of industrial applications. This paper proposes the development of an autonomous robotic grasping system for object sorting application. RGB-D data is used by the robot for perf...
[ { "created": "Tue, 8 Sep 2020 07:54:44 GMT", "version": "v1" } ]
2020-09-09
[ [ "Bui", "Hoang-Dung", "" ], [ "Nguyen", "Hai", "" ], [ "La", "Hung Manh", "" ], [ "Li", "Shuai", "" ] ]
Robot manipulation and grasping mechanisms have received considerable attention in the recent past, leading to the development of wide range of industrial applications. This paper proposes the development of an autonomous robotic grasping system for object sorting application. RGB-D data is used by the robot for perfor...
1907.07220
Fabian Timm
Lukas Enderich and Fabian Timm and Lars Rosenbaum and Wolfram Burgard
Learning Multimodal Fixed-Point Weights using Gradient Descent
presented at ESANN 2019 (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning)
https://www.elen.ucl.ac.be/esann/proceedings/papers.php?ann=2019
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to their high computational complexity, deep neural networks are still limited to powerful processing units. To promote a reduced model complexity by dint of low-bit fixed-point quantization, we propose a gradient-based optimization strategy to generate a symmetric mixture of Gaussian modes (SGM) where each mode ...
[ { "created": "Tue, 16 Jul 2019 19:11:01 GMT", "version": "v1" } ]
2019-07-18
[ [ "Enderich", "Lukas", "" ], [ "Timm", "Fabian", "" ], [ "Rosenbaum", "Lars", "" ], [ "Burgard", "Wolfram", "" ] ]
Due to their high computational complexity, deep neural networks are still limited to powerful processing units. To promote a reduced model complexity by dint of low-bit fixed-point quantization, we propose a gradient-based optimization strategy to generate a symmetric mixture of Gaussian modes (SGM) where each mode be...
1707.06563
Andre Wagner
Andr\'e Wagner
Pictures of Combinatorial Cubes
12 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that the 8-point algorithm always fails to reconstruct a unique fundamental matrix $F$ independent on the camera positions, when its input are image point configurations that are perspective projections of the vertices of a combinatorial cube in $\mathbb{R}^3$. We give an algorithm that improves the 7- and 8...
[ { "created": "Thu, 20 Jul 2017 15:17:08 GMT", "version": "v1" } ]
2017-07-21
[ [ "Wagner", "André", "" ] ]
We prove that the 8-point algorithm always fails to reconstruct a unique fundamental matrix $F$ independent on the camera positions, when its input are image point configurations that are perspective projections of the vertices of a combinatorial cube in $\mathbb{R}^3$. We give an algorithm that improves the 7- and 8-p...
2303.15195
Felicitas H\"ormann
Felicitas H\"ormann and Hannes Bartz
Interpolation-Based Decoding of Folded Variants of Linearized and Skew Reed-Solomon Codes
32 pages, 3 figures, accepted at Designs, Codes and Cryptography
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The sum-rank metric is a hybrid between the Hamming metric and the rank metric and suitable for error correction in multishot network coding and distributed storage as well as for the design of quantum-resistant cryptosystems. In this work, we consider the construction and decoding of folded linearized Reed-Solomon (...
[ { "created": "Mon, 27 Mar 2023 13:35:28 GMT", "version": "v1" } ]
2023-03-28
[ [ "Hörmann", "Felicitas", "" ], [ "Bartz", "Hannes", "" ] ]
The sum-rank metric is a hybrid between the Hamming metric and the rank metric and suitable for error correction in multishot network coding and distributed storage as well as for the design of quantum-resistant cryptosystems. In this work, we consider the construction and decoding of folded linearized Reed-Solomon (FL...
1703.03609
Mostafa Salehi
Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh and Noel Crespi
NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media
null
null
10.1109/TIFS.2017.2675361
null
cs.SI cs.CL cs.IR physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product). The possibility that anybody can leave a review provide a golden opportunity for spammers to write spam reviews about products and services for different interests. Identifyin...
[ { "created": "Fri, 10 Mar 2017 10:17:27 GMT", "version": "v1" } ]
2017-03-13
[ [ "Shehnepoor", "Saeedreza", "" ], [ "Salehi", "Mostafa", "" ], [ "Farahbakhsh", "Reza", "" ], [ "Crespi", "Noel", "" ] ]
Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product). The possibility that anybody can leave a review provide a golden opportunity for spammers to write spam reviews about products and services for different interests. Identifying ...
1103.4868
Saeideh Parsaeifard
Saeedeh Parsaeefard, and Ahmad R. Sharafat, and Mihaela van der Schaar
Robust Additively Coupled Games
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the robust Nash equilibrium (RNE) for a class of games in communications systems and networks where the impact of users on each other is an additive function of their strategies. Each user measures this impact, which may be corrupted by uncertainty in feedback delays, estimation errors, movements of users, e...
[ { "created": "Thu, 24 Mar 2011 20:19:18 GMT", "version": "v1" }, { "created": "Thu, 5 May 2011 00:07:41 GMT", "version": "v2" }, { "created": "Mon, 29 Aug 2011 15:28:38 GMT", "version": "v3" } ]
2011-09-21
[ [ "Parsaeefard", "Saeedeh", "" ], [ "Sharafat", "Ahmad R.", "" ], [ "van der Schaar", "Mihaela", "" ] ]
We study the robust Nash equilibrium (RNE) for a class of games in communications systems and networks where the impact of users on each other is an additive function of their strategies. Each user measures this impact, which may be corrupted by uncertainty in feedback delays, estimation errors, movements of users, etc...
1812.10066
Jia Li
Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian
Selectivity or Invariance: Boundary-aware Salient Object Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Typically, a salient object detection (SOD) model faces opposite requirements in processing object interiors and boundaries. The features of interiors should be invariant to strong appearance change so as to pop-out the salient object as a whole, while the features of boundaries should be selective to slight appearan...
[ { "created": "Tue, 25 Dec 2018 08:31:47 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2019 01:02:22 GMT", "version": "v2" }, { "created": "Wed, 11 Sep 2019 08:08:17 GMT", "version": "v3" } ]
2019-09-12
[ [ "Su", "Jinming", "" ], [ "Li", "Jia", "" ], [ "Zhang", "Yu", "" ], [ "Xia", "Changqun", "" ], [ "Tian", "Yonghong", "" ] ]
Typically, a salient object detection (SOD) model faces opposite requirements in processing object interiors and boundaries. The features of interiors should be invariant to strong appearance change so as to pop-out the salient object as a whole, while the features of boundaries should be selective to slight appearance...
2006.00505
Brandon Reagen
Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent Lee, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks
Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the application of deep learning continues to grow, so does the amount of data used to make predictions. While traditionally, big-data deep learning was constrained by computing performance and off-chip memory bandwidth, a new constraint has emerged: privacy. One solution is homomorphic encryption (HE). Applying H...
[ { "created": "Sun, 31 May 2020 12:33:13 GMT", "version": "v1" }, { "created": "Thu, 8 Oct 2020 19:51:50 GMT", "version": "v2" } ]
2020-10-12
[ [ "Reagen", "Brandon", "" ], [ "Choi", "Wooseok", "" ], [ "Ko", "Yeongil", "" ], [ "Lee", "Vincent", "" ], [ "Wei", "Gu-Yeon", "" ], [ "Lee", "Hsien-Hsin S.", "" ], [ "Brooks", "David", "" ] ]
As the application of deep learning continues to grow, so does the amount of data used to make predictions. While traditionally, big-data deep learning was constrained by computing performance and off-chip memory bandwidth, a new constraint has emerged: privacy. One solution is homomorphic encryption (HE). Applying HE ...