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2208.12488
Vaclav Skala
Vaclav Skala
Polar, Spherical and Orthogonal Space Subdivisions for an Algorithm Acceleration: O(1) Point-in-Polygon/Polyhedron Test
4 pages, 8 figures
null
null
null
cs.CG
http://creativecommons.org/licenses/by/4.0/
Acceleration of algorithms is becoming a crucial problem, if larger data sets are to be processed. Evaluation of algorithms is mostly done by using computational geometry approach and evaluation of computational complexity. However in todays engineering problems this approach does not respect that number of processed...
[ { "created": "Fri, 26 Aug 2022 07:59:13 GMT", "version": "v1" } ]
2022-08-29
[ [ "Skala", "Vaclav", "" ] ]
Acceleration of algorithms is becoming a crucial problem, if larger data sets are to be processed. Evaluation of algorithms is mostly done by using computational geometry approach and evaluation of computational complexity. However in todays engineering problems this approach does not respect that number of processed i...
1407.1103
Hanbaek Lyu
Hanbaek Lyu
Synchronization of finite-state pulse-coupled oscillators
23 pages, 17 figures, To appear in Physica D: Nonlinear Phenomena
null
10.1016/j.physd.2015.03.007
null
cs.SY math.CO math.DS math.OC nlin.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel generalized cellular automaton(GCA) model for discrete-time pulse-coupled oscillators and study the emergence of synchrony. Given a finite simple graph and an integer $n\ge 3$, each vertex is an identical oscillator of period $n$ with the following weak coupling along the edges: each oscillator inh...
[ { "created": "Fri, 4 Jul 2014 01:02:45 GMT", "version": "v1" }, { "created": "Sat, 12 Jul 2014 18:16:35 GMT", "version": "v2" }, { "created": "Mon, 30 Mar 2015 02:00:17 GMT", "version": "v3" } ]
2018-01-25
[ [ "Lyu", "Hanbaek", "" ] ]
We propose a novel generalized cellular automaton(GCA) model for discrete-time pulse-coupled oscillators and study the emergence of synchrony. Given a finite simple graph and an integer $n\ge 3$, each vertex is an identical oscillator of period $n$ with the following weak coupling along the edges: each oscillator inhib...
2008.05900
Ninghan Chen
Ninghan Chen, Zhiqiang Zhong, Jun Pang
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
null
null
null
null
cs.SI cs.CY cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The outbreak of the COVID-19 leads to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. Thus, discussions on OSNs may become a reflection of reality. ...
[ { "created": "Wed, 12 Aug 2020 16:37:58 GMT", "version": "v1" }, { "created": "Wed, 2 Dec 2020 12:49:02 GMT", "version": "v2" } ]
2020-12-03
[ [ "Chen", "Ninghan", "" ], [ "Zhong", "Zhiqiang", "" ], [ "Pang", "Jun", "" ] ]
The outbreak of the COVID-19 leads to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. Thus, discussions on OSNs may become a reflection of reality. Th...
1809.03149
Weixun Wang
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning Adaptive Display Exposure for Real-Time Advertising
accepted by CIKM2019
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. However, under such a setting, the advertising system loses the flexibility to control the number and positions of ads, resulting in sub-optimal...
[ { "created": "Mon, 10 Sep 2018 06:15:42 GMT", "version": "v1" }, { "created": "Tue, 3 Sep 2019 01:55:56 GMT", "version": "v2" } ]
2019-09-04
[ [ "Wang", "Weixun", "" ], [ "Jin", "Junqi", "" ], [ "Hao", "Jianye", "" ], [ "Chen", "Chunjie", "" ], [ "Yu", "Chuan", "" ], [ "Zhang", "Weinan", "" ], [ "Wang", "Jun", "" ], [ "Hao", "Xiaotian", ...
In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. However, under such a setting, the advertising system loses the flexibility to control the number and positions of ads, resulting in sub-optimal p...
1106.1998
Yi Sun
Yi Sun and Faustino Gomez and Tom Schaul and Juergen Schmidhuber
A Linear Time Natural Evolution Strategy for Non-Separable Functions
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel Natural Evolution Strategy (NES) variant, the Rank-One NES (R1-NES), which uses a low rank approximation of the search distribution covariance matrix. The algorithm allows computation of the natural gradient with cost linear in the dimensionality of the parameter space, and excels in solving high-d...
[ { "created": "Fri, 10 Jun 2011 09:56:00 GMT", "version": "v1" }, { "created": "Mon, 13 Jun 2011 09:57:57 GMT", "version": "v2" } ]
2011-06-14
[ [ "Sun", "Yi", "" ], [ "Gomez", "Faustino", "" ], [ "Schaul", "Tom", "" ], [ "Schmidhuber", "Juergen", "" ] ]
We present a novel Natural Evolution Strategy (NES) variant, the Rank-One NES (R1-NES), which uses a low rank approximation of the search distribution covariance matrix. The algorithm allows computation of the natural gradient with cost linear in the dimensionality of the parameter space, and excels in solving high-dim...
2305.13700
Chenglong Wang
Chenglong Wang, Jiangyan Yi, Jianhua Tao, Chuyuan Zhang, Shuai Zhang and Xun Chen
Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features
Interspeech2023
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing fake audio detection systems perform well in in-domain testing, but still face many challenges in out-of-domain testing. This is due to the mismatch between the training and test data, as well as the poor generalizability of features extracted from limited views. To address this, we propose multi-view featur...
[ { "created": "Tue, 23 May 2023 05:27:39 GMT", "version": "v1" } ]
2023-05-24
[ [ "Wang", "Chenglong", "" ], [ "Yi", "Jiangyan", "" ], [ "Tao", "Jianhua", "" ], [ "Zhang", "Chuyuan", "" ], [ "Zhang", "Shuai", "" ], [ "Chen", "Xun", "" ] ]
Existing fake audio detection systems perform well in in-domain testing, but still face many challenges in out-of-domain testing. This is due to the mismatch between the training and test data, as well as the poor generalizability of features extracted from limited views. To address this, we propose multi-view features...
1403.5071
Stefano Gurciullo
Stefano Gurciullo
Organised crime infiltration in the legitimate private economy - An empirical network analysis approach
27 pages, 6, figures, International Crime and Intelligence Analysis Conference - 2012, Manchester
null
null
null
cs.CY cs.SI physics.soc-ph
http://creativecommons.org/licenses/by-nc-sa/3.0/
It is estimated that Italian Mafias registered 135 billion euros in profits only in 2010. Part of this huge amount of money, coming mostly from the drugs, prostitution and arms illicit markets, is often used to invest into legitimate private economies. As a consequence, the affected economies destabilise, become entr...
[ { "created": "Thu, 20 Mar 2014 09:05:49 GMT", "version": "v1" } ]
2014-03-21
[ [ "Gurciullo", "Stefano", "" ] ]
It is estimated that Italian Mafias registered 135 billion euros in profits only in 2010. Part of this huge amount of money, coming mostly from the drugs, prostitution and arms illicit markets, is often used to invest into legitimate private economies. As a consequence, the affected economies destabilise, become entren...
1711.05345
Yu-An Chung
Yu-An Chung and Hung-Yi Lee and James Glass
Supervised and Unsupervised Transfer Learning for Question Answering
To appear in NAACL HLT 2018 (long paper)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be well-studied. In this paper, we conduct extensive experiments to investigate the transferability of knowledge learned from a source QA dataset to a target...
[ { "created": "Tue, 14 Nov 2017 22:57:24 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2018 19:58:45 GMT", "version": "v2" }, { "created": "Sat, 21 Apr 2018 19:20:20 GMT", "version": "v3" } ]
2018-04-24
[ [ "Chung", "Yu-An", "" ], [ "Lee", "Hung-Yi", "" ], [ "Glass", "James", "" ] ]
Although transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be well-studied. In this paper, we conduct extensive experiments to investigate the transferability of knowledge learned from a source QA dataset to a target d...
2010.10858
Befekadu Gebraselase
Befekadu G. Gebraselase, Bjarne E. Helvik, Yuming Jiang
Transaction Characteristics of Bitcoin
null
null
null
null
cs.CR cs.DC
http://creativecommons.org/licenses/by/4.0/
Blockchain has been considered as an important technique to enable secure management of virtual network functions and network slices. To understand such capabilities of a blockchain, e.g. transaction confirmation time, demands a thorough study on the transaction characteristics of the blockchain. This paper presents ...
[ { "created": "Wed, 21 Oct 2020 09:35:36 GMT", "version": "v1" } ]
2020-10-22
[ [ "Gebraselase", "Befekadu G.", "" ], [ "Helvik", "Bjarne E.", "" ], [ "Jiang", "Yuming", "" ] ]
Blockchain has been considered as an important technique to enable secure management of virtual network functions and network slices. To understand such capabilities of a blockchain, e.g. transaction confirmation time, demands a thorough study on the transaction characteristics of the blockchain. This paper presents a ...
2111.05410
Fatemeh Vahedian
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
Leveraging the Graph Structure of Neural Network Training Dynamics
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Understanding the training dynamics of deep neural networks (DNNs) is important as it can lead to improved training efficiency and task performance. Recent works have demonstrated that representing the wirings of static graph cannot capture how DNNs change over the course of training. Thus, in this work, we propose a...
[ { "created": "Tue, 9 Nov 2021 20:38:48 GMT", "version": "v1" }, { "created": "Mon, 20 Feb 2023 21:31:26 GMT", "version": "v2" } ]
2023-02-22
[ [ "Vahedian", "Fatemeh", "" ], [ "Li", "Ruiyu", "" ], [ "Trivedi", "Puja", "" ], [ "Jin", "Di", "" ], [ "Koutra", "Danai", "" ] ]
Understanding the training dynamics of deep neural networks (DNNs) is important as it can lead to improved training efficiency and task performance. Recent works have demonstrated that representing the wirings of static graph cannot capture how DNNs change over the course of training. Thus, in this work, we propose a c...
1909.04436
Martin Shepperd
Martin Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, and Leila Yousefi
The Prevalence of Errors in Machine Learning Experiments
20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 14--16 November 2019
null
null
null
cs.LG cs.AI stat.AP stat.ML
http://creativecommons.org/licenses/by/4.0/
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct reliable, trustworthy experiments. Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domai...
[ { "created": "Tue, 10 Sep 2019 12:32:00 GMT", "version": "v1" } ]
2019-09-11
[ [ "Shepperd", "Martin", "" ], [ "Guo", "Yuchen", "" ], [ "Li", "Ning", "" ], [ "Arzoky", "Mahir", "" ], [ "Capiluppi", "Andrea", "" ], [ "Counsell", "Steve", "" ], [ "Destefanis", "Giuseppe", "" ], [ ...
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct reliable, trustworthy experiments. Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain ...
2402.09769
Ayon Borthakur
Aditya Somasundaram, Pushkal Mishra, Ayon Borthakur
Representation Learning Using a Single Forward Pass
Under review
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a neuroscience-inspired Solo Pass Embedded Learning Algorithm (SPELA). SPELA is a prime candidate for training and inference applications in Edge AI devices. At the same time, SPELA can optimally cater to the need for a framework to study perceptual representation learning and formation. SPELA has distinct...
[ { "created": "Thu, 15 Feb 2024 07:47:10 GMT", "version": "v1" } ]
2024-02-16
[ [ "Somasundaram", "Aditya", "" ], [ "Mishra", "Pushkal", "" ], [ "Borthakur", "Ayon", "" ] ]
We propose a neuroscience-inspired Solo Pass Embedded Learning Algorithm (SPELA). SPELA is a prime candidate for training and inference applications in Edge AI devices. At the same time, SPELA can optimally cater to the need for a framework to study perceptual representation learning and formation. SPELA has distinctiv...
2003.12725
Chence Shi
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction
ICML 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental problem in computational chemistry is to find a set of reactants to synthesize a target molecule, a.k.a. retrosynthesis prediction. Existing state-of-the-art methods rely on matching the target molecule with a large set of reaction templates, which are very computationally expensive and also suffer from...
[ { "created": "Sat, 28 Mar 2020 06:16:56 GMT", "version": "v1" }, { "created": "Mon, 7 Jun 2021 09:43:56 GMT", "version": "v2" }, { "created": "Fri, 20 Aug 2021 03:14:26 GMT", "version": "v3" } ]
2021-08-23
[ [ "Shi", "Chence", "" ], [ "Xu", "Minkai", "" ], [ "Guo", "Hongyu", "" ], [ "Zhang", "Ming", "" ], [ "Tang", "Jian", "" ] ]
A fundamental problem in computational chemistry is to find a set of reactants to synthesize a target molecule, a.k.a. retrosynthesis prediction. Existing state-of-the-art methods rely on matching the target molecule with a large set of reaction templates, which are very computationally expensive and also suffer from t...
1306.3297
Ognjen Arandjelovi\'c PhD
Ognjen Arandjelovic
Matching objects across the textured-smooth continuum
Australasian Conference on Robotics and Automation, 2012
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of 3D object recognition is of immense practical importance, with the last decade witnessing a number of breakthroughs in the state of the art. Most of the previous work has focused on the matching of textured objects using local appearance descriptors extracted around salient image points. The recently p...
[ { "created": "Fri, 14 Jun 2013 05:52:58 GMT", "version": "v1" } ]
2013-06-17
[ [ "Arandjelovic", "Ognjen", "" ] ]
The problem of 3D object recognition is of immense practical importance, with the last decade witnessing a number of breakthroughs in the state of the art. Most of the previous work has focused on the matching of textured objects using local appearance descriptors extracted around salient image points. The recently pro...
2103.11982
Ahmed Elzanaty Dr.
Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini
Wireless Network Coding with Intelligent Reflecting Surfaces
null
null
null
null
cs.NI cs.ET eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Conventional wireless techniques are becoming inadequate for beyond fifth-generation (5G) networks due to latency and bandwidth considerations. To improve the error performance and throughput of wireless communication systems, we propose physical layer network coding (PNC) in an intelligent reflecting surface (IRS)-a...
[ { "created": "Mon, 22 Mar 2021 16:29:51 GMT", "version": "v1" } ]
2021-03-23
[ [ "Kafizov", "Amanat", "" ], [ "Elzanaty", "Ahmed", "" ], [ "Varshney", "Lav R.", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
Conventional wireless techniques are becoming inadequate for beyond fifth-generation (5G) networks due to latency and bandwidth considerations. To improve the error performance and throughput of wireless communication systems, we propose physical layer network coding (PNC) in an intelligent reflecting surface (IRS)-ass...
1912.12999
Laura Kinkead
Laura Kinkead, Ahmed Allam, Michael Krauthammer
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks
null
null
null
null
cs.LG cs.CL cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to the patient in the form of misinformation and a possibly poorer relationship with their physician. To address t...
[ { "created": "Mon, 30 Dec 2019 16:44:41 GMT", "version": "v1" }, { "created": "Thu, 9 Jan 2020 13:52:19 GMT", "version": "v2" }, { "created": "Tue, 26 May 2020 16:01:39 GMT", "version": "v3" } ]
2020-05-27
[ [ "Kinkead", "Laura", "" ], [ "Allam", "Ahmed", "" ], [ "Krauthammer", "Michael", "" ] ]
Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to the patient in the form of misinformation and a possibly poorer relationship with their physician. To address thi...
1802.06940
Alexander Semenov
Irina Gribanova and Alexander Semenov
Using Automatic Generation of Relaxation Constraints to Improve the Preimage Attack on 39-step MD4
This paper was submitted to MIPRO 2018 as a conference paper
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we construct preimage attack on the truncated variant of the MD4 hash function. Specifically, we study the MD4-39 function defined by the first 39 steps of the MD4 algorithm. We suggest a new attack on MD4-39, which develops the ideas proposed by H. Dobbertin in 1998. Namely, the special relaxation cons...
[ { "created": "Tue, 20 Feb 2018 02:47:41 GMT", "version": "v1" } ]
2019-10-07
[ [ "Gribanova", "Irina", "" ], [ "Semenov", "Alexander", "" ] ]
In this paper we construct preimage attack on the truncated variant of the MD4 hash function. Specifically, we study the MD4-39 function defined by the first 39 steps of the MD4 algorithm. We suggest a new attack on MD4-39, which develops the ideas proposed by H. Dobbertin in 1998. Namely, the special relaxation constr...
2305.19131
Emil Bj\"ornson
Amna Irshad, Emil Bj\"ornson
Optimal Geometries of Dual-Polarized Arrays for Large Point-to-Point MIMO Channels
5 pages, 4 figures, to appear at the European Signal Processing Conference, EUSIPCO 2023
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional point-to-point line-of-sight channels have rank 1, irrespective of the number of antennas and array geometries, due to far-field propagation conditions. By contrast, recent papers in the holographic multiple-input multiple-output (MIMO) literature characterize the maximum channel rank that can be achieved...
[ { "created": "Tue, 30 May 2023 15:42:07 GMT", "version": "v1" } ]
2023-05-31
[ [ "Irshad", "Amna", "" ], [ "Björnson", "Emil", "" ] ]
Traditional point-to-point line-of-sight channels have rank 1, irrespective of the number of antennas and array geometries, due to far-field propagation conditions. By contrast, recent papers in the holographic multiple-input multiple-output (MIMO) literature characterize the maximum channel rank that can be achieved b...
0910.0227
Rdv Ijcsis
Renuka A., K. C. Shet
Hierarchical Approach for Key Management in Mobile Ad hoc Networks
9 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 87-95, September 2009, USA
null
ISSN 1947 5500
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile Ad-hoc Network (MANET) is a collection of autonomous nodes or terminals which communicate with each other by forming a multi-hop radio network and maintaining connectivity in a decentralized manner. The conventional security solutions to provide key management through accessing trusted authorities or centraliz...
[ { "created": "Thu, 1 Oct 2009 18:56:57 GMT", "version": "v1" } ]
2009-10-02
[ [ "A.", "Renuka", "" ], [ "Shet", "K. C.", "" ] ]
Mobile Ad-hoc Network (MANET) is a collection of autonomous nodes or terminals which communicate with each other by forming a multi-hop radio network and maintaining connectivity in a decentralized manner. The conventional security solutions to provide key management through accessing trusted authorities or centralized...
2309.15245
Swetava Ganguli
Daria Reshetova and Swetava Ganguli and C. V. Krishnakumar Iyer and Vipul Pandey
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Extended version of the accepted research track paper at the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023), Hamburg, Germany. 11 pages, 8 figures, 6 tables
null
10.1145/3589132.3625604
null
cs.AI cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises of acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of repres...
[ { "created": "Tue, 26 Sep 2023 20:18:31 GMT", "version": "v1" } ]
2023-09-28
[ [ "Reshetova", "Daria", "" ], [ "Ganguli", "Swetava", "" ], [ "Iyer", "C. V. Krishnakumar", "" ], [ "Pandey", "Vipul", "" ] ]
We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises of acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of represen...
2107.07153
Oriol Corcoll
Oriol Corcoll
Semantic Image Cropping
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Automatic image cropping techniques are commonly used to enhance the aesthetic quality of an image; they do it by detecting the most beautiful or the most salient parts of the image and removing the unwanted content to have a smaller image that is more visually pleasing. In this thesis, I introduce an additional dime...
[ { "created": "Thu, 15 Jul 2021 06:54:42 GMT", "version": "v1" } ]
2021-07-16
[ [ "Corcoll", "Oriol", "" ] ]
Automatic image cropping techniques are commonly used to enhance the aesthetic quality of an image; they do it by detecting the most beautiful or the most salient parts of the image and removing the unwanted content to have a smaller image that is more visually pleasing. In this thesis, I introduce an additional dimens...
1701.06109
Hunter Elliott
David Richmond, Anna Payne-Tobin Jost, Talley Lambert, Jennifer Waters, Hunter Elliott
DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets
null
null
null
null
cs.CV q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exposure to intense illumination light is an unavoidable consequence of fluorescence microscopy, and poses a risk to the health of the sample in every live-cell fluorescence microscopy experiment. Furthermore, the possible side-effects of phototoxicity on the scientific conclusions that are drawn from an imaging expe...
[ { "created": "Sun, 22 Jan 2017 01:43:05 GMT", "version": "v1" } ]
2017-01-24
[ [ "Richmond", "David", "" ], [ "Jost", "Anna Payne-Tobin", "" ], [ "Lambert", "Talley", "" ], [ "Waters", "Jennifer", "" ], [ "Elliott", "Hunter", "" ] ]
Exposure to intense illumination light is an unavoidable consequence of fluorescence microscopy, and poses a risk to the health of the sample in every live-cell fluorescence microscopy experiment. Furthermore, the possible side-effects of phototoxicity on the scientific conclusions that are drawn from an imaging experi...
2108.08089
Siyuan Dong
Siyuan Dong, Jun Cao, Zhong Fan
A Review on Cybersecurity in Smart Local Energy Systems: Requirements, Challenges, and Standards
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Smart local energy system (SLES) is considered as a promising pathway facilitating a more effective and localised operation, benefited from the complex information and communication technology (ICT) infrastructures and Internet of things (IoT) technologies. As a part of the critical infrastructure, it is important to...
[ { "created": "Wed, 18 Aug 2021 11:12:57 GMT", "version": "v1" } ]
2021-08-19
[ [ "Dong", "Siyuan", "" ], [ "Cao", "Jun", "" ], [ "Fan", "Zhong", "" ] ]
Smart local energy system (SLES) is considered as a promising pathway facilitating a more effective and localised operation, benefited from the complex information and communication technology (ICT) infrastructures and Internet of things (IoT) technologies. As a part of the critical infrastructure, it is important to n...
2011.04919
Chunchi Liu
Chunchi Liu, Minghui Xu, Hechuan Guo, Xiuzhen Cheng, Yinhao Xiao, Dongxiao Yu, Bei Gong, Arkady Yerukhimovich, Shengling Wang and Weifeng Lv
Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
null
null
null
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the prevalence of Internet of Things (IoT) applications, IoT devices interact closely with our surrounding environments, bringing us unparalleled smartness and convenience. However, the development of secure IoT solutions is getting a long way lagged behind, making us exposed to common unauthorized accesses that...
[ { "created": "Tue, 10 Nov 2020 05:56:36 GMT", "version": "v1" } ]
2020-11-11
[ [ "Liu", "Chunchi", "" ], [ "Xu", "Minghui", "" ], [ "Guo", "Hechuan", "" ], [ "Cheng", "Xiuzhen", "" ], [ "Xiao", "Yinhao", "" ], [ "Yu", "Dongxiao", "" ], [ "Gong", "Bei", "" ], [ "Yerukhimovich", ...
With the prevalence of Internet of Things (IoT) applications, IoT devices interact closely with our surrounding environments, bringing us unparalleled smartness and convenience. However, the development of secure IoT solutions is getting a long way lagged behind, making us exposed to common unauthorized accesses that m...
2003.07010
Jason Gaitonde
Jason Gaitonde, Jon Kleinberg, Eva Tardos
Adversarial Perturbations of Opinion Dynamics in Networks
28 pages; added new related work, fixed typos
null
null
null
cs.DS cs.GT cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the connections between network structure, opinion dynamics, and an adversary's power to artificially induce disagreements. We approach these questions by extending models of opinion formation in the social sciences to represent scenarios, familiar from recent events, in which external actors seek to destabi...
[ { "created": "Mon, 16 Mar 2020 04:01:09 GMT", "version": "v1" }, { "created": "Mon, 13 Jul 2020 17:00:58 GMT", "version": "v2" } ]
2020-07-14
[ [ "Gaitonde", "Jason", "" ], [ "Kleinberg", "Jon", "" ], [ "Tardos", "Eva", "" ] ]
We study the connections between network structure, opinion dynamics, and an adversary's power to artificially induce disagreements. We approach these questions by extending models of opinion formation in the social sciences to represent scenarios, familiar from recent events, in which external actors seek to destabili...
2305.18036
Ludovic Thomas
Ludovic Thomas (EPFL) and Jean-Yves Le Boudec (EPFL)
Network-Calculus Service Curves of the Interleaved Regulator
17 pages, 13 figures, 4 tables
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The interleaved regulator (implemented by IEEE TSN Asynchronous Traffic Shaping) is used in time-sensitive networks for reshaping the flows with per-flow contracts. When applied to an aggregate of flows that come from a FIFO system, an interleaved regulator that reshapes the flows with their initial contracts does no...
[ { "created": "Mon, 29 May 2023 11:56:37 GMT", "version": "v1" }, { "created": "Fri, 2 Jun 2023 15:03:13 GMT", "version": "v2" } ]
2023-06-05
[ [ "Thomas", "Ludovic", "", "EPFL" ], [ "Boudec", "Jean-Yves Le", "", "EPFL" ] ]
The interleaved regulator (implemented by IEEE TSN Asynchronous Traffic Shaping) is used in time-sensitive networks for reshaping the flows with per-flow contracts. When applied to an aggregate of flows that come from a FIFO system, an interleaved regulator that reshapes the flows with their initial contracts does not ...
2211.13227
Binxin Yang
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen and Fang Wen
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Code: https://github.com/Fantasy-Studio/Paint-by-Example
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to disentangle and re-organize the source image and the exemplar. However, the naive ...
[ { "created": "Wed, 23 Nov 2022 18:59:52 GMT", "version": "v1" } ]
2022-11-24
[ [ "Yang", "Binxin", "" ], [ "Gu", "Shuyang", "" ], [ "Zhang", "Bo", "" ], [ "Zhang", "Ting", "" ], [ "Chen", "Xuejin", "" ], [ "Sun", "Xiaoyan", "" ], [ "Chen", "Dong", "" ], [ "Wen", "Fang", ...
Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to disentangle and re-organize the source image and the exemplar. However, the naive ap...
1204.4535
Jay Shah
Jay Shah and Ayan Mahalanobis
A New Guess-and-Determine Attack on the A5/1 Stream Cipher
14 pages, 4 figures, 3 tables
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Europe and North America, the most widely used stream cipher to ensure privacy and confidentiality of conversations in GSM mobile phones is the A5/1. In this paper, we present a new attack on the A5/1 stream cipher with an average time complexity of 2^(48.5), which is much less than the brute-force attack with a c...
[ { "created": "Fri, 20 Apr 2012 05:53:40 GMT", "version": "v1" }, { "created": "Thu, 3 May 2012 06:54:15 GMT", "version": "v2" } ]
2012-05-04
[ [ "Shah", "Jay", "" ], [ "Mahalanobis", "Ayan", "" ] ]
In Europe and North America, the most widely used stream cipher to ensure privacy and confidentiality of conversations in GSM mobile phones is the A5/1. In this paper, we present a new attack on the A5/1 stream cipher with an average time complexity of 2^(48.5), which is much less than the brute-force attack with a com...
1810.03587
Chinmay Hegde
Chinmay Hegde
Algorithmic Aspects of Inverse Problems Using Generative Models
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
The traditional approach of hand-crafting priors (such as sparsity) for solving inverse problems is slowly being replaced by the use of richer learned priors (such as those modeled by generative adversarial networks, or GANs). In this work, we study the algorithmic aspects of such a learning-based approach from a the...
[ { "created": "Mon, 8 Oct 2018 17:29:47 GMT", "version": "v1" } ]
2018-10-09
[ [ "Hegde", "Chinmay", "" ] ]
The traditional approach of hand-crafting priors (such as sparsity) for solving inverse problems is slowly being replaced by the use of richer learned priors (such as those modeled by generative adversarial networks, or GANs). In this work, we study the algorithmic aspects of such a learning-based approach from a theor...
1905.12217
Liwei Wu
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
under review
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider recommender systems with side information in the form of graphs. Existing collaborative filtering algorithms mainly utilize only immediate neighborhood information and have a hard time taking advantage of deeper neighborhoods beyond 1-2 hops. The main caveat of exploiting deeper graph infor...
[ { "created": "Wed, 29 May 2019 04:57:02 GMT", "version": "v1" } ]
2019-05-30
[ [ "Wu", "Liwei", "" ], [ "Yu", "Hsiang-Fu", "" ], [ "Rao", "Nikhil", "" ], [ "Sharpnack", "James", "" ], [ "Hsieh", "Cho-Jui", "" ] ]
In this paper, we consider recommender systems with side information in the form of graphs. Existing collaborative filtering algorithms mainly utilize only immediate neighborhood information and have a hard time taking advantage of deeper neighborhoods beyond 1-2 hops. The main caveat of exploiting deeper graph informa...
1912.00486
Ali Bereyhi
Saba Asaad and Ali Bereyhi and Ralf R. M\"uller and Rafael F. Schaefer
Secure Regularized Zero Forcing for Multiuser MIMOME Channels
Presented in the 2019 Asilomar Conference on Signals, Systems, and Computers. 6 pages, 3 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a new linear precoding scheme for downlink transmission in MIMOME channels, referred to as secure regularized zero forcing. The scheme modifies regularized zero forcing precoding, such that the beamformers further suppress the information leakage towards the eavesdroppers. The proposed scheme is c...
[ { "created": "Sun, 1 Dec 2019 19:29:26 GMT", "version": "v1" } ]
2019-12-03
[ [ "Asaad", "Saba", "" ], [ "Bereyhi", "Ali", "" ], [ "Müller", "Ralf R.", "" ], [ "Schaefer", "Rafael F.", "" ] ]
This paper proposes a new linear precoding scheme for downlink transmission in MIMOME channels, referred to as secure regularized zero forcing. The scheme modifies regularized zero forcing precoding, such that the beamformers further suppress the information leakage towards the eavesdroppers. The proposed scheme is cha...
2406.02929
Zihan Ye
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Zero-Shot Learning (ZSL) aims to enable classifiers to identify unseen classes by enhancing data efficiency at the class level. This is achieved by generating image features from pre-defined semantics of unseen classes. However, most current approaches heavily depend on the number of samples from seen classes, i.e. t...
[ { "created": "Wed, 5 Jun 2024 04:37:06 GMT", "version": "v1" } ]
2024-06-06
[ [ "Ye", "Zihan", "" ], [ "Gowda", "Shreyank N.", "" ], [ "Jin", "Xiaobo", "" ], [ "Huang", "Xiaowei", "" ], [ "Xu", "Haotian", "" ], [ "Jin", "Yaochu", "" ], [ "Huang", "Kaizhu", "" ] ]
Zero-Shot Learning (ZSL) aims to enable classifiers to identify unseen classes by enhancing data efficiency at the class level. This is achieved by generating image features from pre-defined semantics of unseen classes. However, most current approaches heavily depend on the number of samples from seen classes, i.e. the...
2404.14935
Vincent Albert Wolff
Edmir Xhoxhi, Vincent Albert Wolff
A Data-Driven Analysis of Vulnerable Road User Safety in Interaction with Connected Automated Vehicles
Accepted for 15th IEEE Vehicular Networking Conference (VNC) 2024
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
According to the World Health Organization, the involvement of Vulnerable Road Users (VRUs) in traffic accidents remains a significant concern, with VRUs accounting for over half of traffic fatalities. The increase of automation and connectivity levels of vehicles has still an uncertain impact on VRU safety. By deplo...
[ { "created": "Tue, 23 Apr 2024 11:24:38 GMT", "version": "v1" } ]
2024-04-24
[ [ "Xhoxhi", "Edmir", "" ], [ "Wolff", "Vincent Albert", "" ] ]
According to the World Health Organization, the involvement of Vulnerable Road Users (VRUs) in traffic accidents remains a significant concern, with VRUs accounting for over half of traffic fatalities. The increase of automation and connectivity levels of vehicles has still an uncertain impact on VRU safety. By deployi...
1804.05358
Suzhen Wang
Suzhen Wang, Jingjing Luo, Yuan-Hsun Lo, Wing Shing Wong
Forwarding and Optical Indices in an All-Optical BCube Network
8 pages, 4 figures, a conference paper
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
BCube is a highly scalable and cost-effective networking topology, which has been widely applied to modular datacenters. Optical technologies based on Wavelength Division Multiplexing (WDM) are gaining popularity for Data Center Networks (DCNs) due to their technological strengths such as low communication latency, l...
[ { "created": "Sun, 15 Apr 2018 13:44:59 GMT", "version": "v1" } ]
2018-04-17
[ [ "Wang", "Suzhen", "" ], [ "Luo", "Jingjing", "" ], [ "Lo", "Yuan-Hsun", "" ], [ "Wong", "Wing Shing", "" ] ]
BCube is a highly scalable and cost-effective networking topology, which has been widely applied to modular datacenters. Optical technologies based on Wavelength Division Multiplexing (WDM) are gaining popularity for Data Center Networks (DCNs) due to their technological strengths such as low communication latency, low...
1812.06216
Sebastian Koch
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
ABC: A Big CAD Model Dataset For Geometric Deep Learning
15 pages
null
null
null
cs.GR cs.CG cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collection of explicitly parametrized curves and surfaces, providing ground truth for differential quantities, patch segmentation, geometric featur...
[ { "created": "Sat, 15 Dec 2018 01:21:48 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2019 07:18:44 GMT", "version": "v2" } ]
2019-05-01
[ [ "Koch", "Sebastian", "" ], [ "Matveev", "Albert", "" ], [ "Jiang", "Zhongshi", "" ], [ "Williams", "Francis", "" ], [ "Artemov", "Alexey", "" ], [ "Burnaev", "Evgeny", "" ], [ "Alexa", "Marc", "" ], [ ...
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collection of explicitly parametrized curves and surfaces, providing ground truth for differential quantities, patch segmentation, geometric feature ...
1409.2318
Bernhard Rumpe
Arne Haber, Holger Renel, Bernhard Rumpe, Ina Schaefer, Frank van der Linden
Hierarchical Variability Modeling for Software Architectures
10 pages, 9 figures. Proceedings of International Software Product Lines Conference (SPLC 2011), IEEE Computer Society, August 2011
null
10.1109/SPLC.2011.28
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hierarchically decomposed component-based system development reduces design complexity by supporting distribution of work and component reuse. For product line development, the variability of the components to be deployed in different products has to be represented by appropriate means. In this paper, we propose hier...
[ { "created": "Mon, 8 Sep 2014 12:14:29 GMT", "version": "v1" } ]
2014-09-09
[ [ "Haber", "Arne", "" ], [ "Renel", "Holger", "" ], [ "Rumpe", "Bernhard", "" ], [ "Schaefer", "Ina", "" ], [ "van der Linden", "Frank", "" ] ]
Hierarchically decomposed component-based system development reduces design complexity by supporting distribution of work and component reuse. For product line development, the variability of the components to be deployed in different products has to be represented by appropriate means. In this paper, we propose hierar...
2408.02036
Yujin Ren
Yujin Ren, Jiaxin Zhang, Lianwen Jin
LEGO: Self-Supervised Representation Learning for Scene Text Images
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, significant progress has been made in scene text recognition by data-driven methods. However, due to the scarcity of annotated real-world data, the training of these methods predominantly relies on synthetic data. The distribution gap between synthetic and real data constrains the further performance...
[ { "created": "Sun, 4 Aug 2024 14:07:14 GMT", "version": "v1" } ]
2024-08-06
[ [ "Ren", "Yujin", "" ], [ "Zhang", "Jiaxin", "" ], [ "Jin", "Lianwen", "" ] ]
In recent years, significant progress has been made in scene text recognition by data-driven methods. However, due to the scarcity of annotated real-world data, the training of these methods predominantly relies on synthetic data. The distribution gap between synthetic and real data constrains the further performance i...
2305.15358
Siddhant Garg
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
Context-Aware Transformer Pre-Training for Answer Sentence Selection
Accepted at ACL 2023
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Answer Sentence Selection (AS2) is a core component for building an accurate Question Answering pipeline. AS2 models rank a set of candidate sentences based on how likely they answer a given question. The state of the art in AS2 exploits pre-trained transformers by transferring them on large annotated datasets, while...
[ { "created": "Wed, 24 May 2023 17:10:45 GMT", "version": "v1" } ]
2023-05-25
[ [ "Di Liello", "Luca", "" ], [ "Garg", "Siddhant", "" ], [ "Moschitti", "Alessandro", "" ] ]
Answer Sentence Selection (AS2) is a core component for building an accurate Question Answering pipeline. AS2 models rank a set of candidate sentences based on how likely they answer a given question. The state of the art in AS2 exploits pre-trained transformers by transferring them on large annotated datasets, while u...
2002.11049
Zhe Yu
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach
14 pages, 3 pages for appendix, 6+3 figures, 10 tables. Accepted by TSE journal
null
10.1109/TSE.2020.3031401
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Keeping track of and managing Self-Admitted Technical Debts (SATDs) are important to maintaining a healthy software project. This requires much time and effort from human experts to identify the SATDs manually. The current automated solutions do not have satisfactory precision and recall in identifying SATDs to fully...
[ { "created": "Tue, 25 Feb 2020 17:20:05 GMT", "version": "v1" }, { "created": "Tue, 23 Jun 2020 23:18:26 GMT", "version": "v2" }, { "created": "Sat, 17 Oct 2020 00:13:06 GMT", "version": "v3" } ]
2020-10-20
[ [ "Yu", "Zhe", "" ], [ "Fahid", "Fahmid Morshed", "" ], [ "Tu", "Huy", "" ], [ "Menzies", "Tim", "" ] ]
Keeping track of and managing Self-Admitted Technical Debts (SATDs) are important to maintaining a healthy software project. This requires much time and effort from human experts to identify the SATDs manually. The current automated solutions do not have satisfactory precision and recall in identifying SATDs to fully a...
1805.02258
Andrey Kutuzov
Andrey Kutuzov
Russian word sense induction by clustering averaged word embeddings
Proceedings of the 24rd International Conference on Computational Linguistics and Intellectual Technologies (Dialogue-2018)
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
The paper reports our participation in the shared task on word sense induction and disambiguation for the Russian language (RUSSE-2018). Our team was ranked 2nd for the wiki-wiki dataset (containing mostly homonyms) and 5th for the bts-rnc and active-dict datasets (containing mostly polysemous words) among all 19 par...
[ { "created": "Sun, 6 May 2018 18:25:12 GMT", "version": "v1" } ]
2018-05-08
[ [ "Kutuzov", "Andrey", "" ] ]
The paper reports our participation in the shared task on word sense induction and disambiguation for the Russian language (RUSSE-2018). Our team was ranked 2nd for the wiki-wiki dataset (containing mostly homonyms) and 5th for the bts-rnc and active-dict datasets (containing mostly polysemous words) among all 19 parti...
2305.02651
Maciej Wielgosz
Maciej Wielgosz and Stefano Puliti and Phil Wilkes and Rasmus Astrup
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyperparemeters importance. It introduces a comprehensive and modular approach to processing laser points clouds in Forestry. We tested it on t...
[ { "created": "Thu, 4 May 2023 08:45:17 GMT", "version": "v1" } ]
2023-05-05
[ [ "Wielgosz", "Maciej", "" ], [ "Puliti", "Stefano", "" ], [ "Wilkes", "Phil", "" ], [ "Astrup", "Rasmus", "" ] ]
This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyperparemeters importance. It introduces a comprehensive and modular approach to processing laser points clouds in Forestry. We tested it on two...
2107.08362
Bing Sun
Bing Sun, Jun Sun, Ting Dai, Lijun Zhang
Probabilistic Verification of Neural Networks Against Group Fairness
null
null
null
null
cs.LG cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fairness is crucial for neural networks which are used in applications with important societal implication. Recently, there have been multiple attempts on improving fairness of neural networks, with a focus on fairness testing (e.g., generating individual discriminatory instances) and fairness training (e.g., enhanci...
[ { "created": "Sun, 18 Jul 2021 04:34:31 GMT", "version": "v1" } ]
2021-07-20
[ [ "Sun", "Bing", "" ], [ "Sun", "Jun", "" ], [ "Dai", "Ting", "" ], [ "Zhang", "Lijun", "" ] ]
Fairness is crucial for neural networks which are used in applications with important societal implication. Recently, there have been multiple attempts on improving fairness of neural networks, with a focus on fairness testing (e.g., generating individual discriminatory instances) and fairness training (e.g., enhancing...
2207.04914
Marco Tranzatto
Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, ...
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with the vision to facilitate the novel technologies necessary to reliably explore diverse underground environments despite the grueling chall...
[ { "created": "Mon, 11 Jul 2022 14:50:11 GMT", "version": "v1" } ]
2022-07-12
[ [ "Tranzatto", "Marco", "" ], [ "Dharmadhikari", "Mihir", "" ], [ "Bernreiter", "Lukas", "" ], [ "Camurri", "Marco", "" ], [ "Khattak", "Shehryar", "" ], [ "Mascarich", "Frank", "" ], [ "Pfreundschuh", "Patrick",...
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with the vision to facilitate the novel technologies necessary to reliably explore diverse underground environments despite the grueling challen...
1909.00102
Alexander Hanbo Li
Alexander Hanbo Li, Abhinav Sethy
Knowledge Enhanced Attention for Robust Natural Language Inference
null
null
null
null
cs.CL cs.CR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural network models have been very successful at achieving high accuracy on natural language inference (NLI) tasks. However, as demonstrated in recent literature, when tested on some simple adversarial examples, most of the models suffer a significant drop in performance. This raises the concern about the robustnes...
[ { "created": "Sat, 31 Aug 2019 01:04:58 GMT", "version": "v1" } ]
2019-09-04
[ [ "Li", "Alexander Hanbo", "" ], [ "Sethy", "Abhinav", "" ] ]
Neural network models have been very successful at achieving high accuracy on natural language inference (NLI) tasks. However, as demonstrated in recent literature, when tested on some simple adversarial examples, most of the models suffer a significant drop in performance. This raises the concern about the robustness ...
1809.00898
Marie-Morgane Paumard
M.-M. Paumard, D. Picard, H. Tabia
Image Reassembly Combining Deep Learning and Shortest Path Problem
ECCV 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the problem of reassembling images from disjointed fragments. More specifically, given an unordered set of fragments, we aim at reassembling one or several possibly incomplete images. The main contributions of this work are: 1) several deep neural architectures to predict the relative position of...
[ { "created": "Tue, 4 Sep 2018 11:39:03 GMT", "version": "v1" } ]
2018-09-05
[ [ "Paumard", "M. -M.", "" ], [ "Picard", "D.", "" ], [ "Tabia", "H.", "" ] ]
This paper addresses the problem of reassembling images from disjointed fragments. More specifically, given an unordered set of fragments, we aim at reassembling one or several possibly incomplete images. The main contributions of this work are: 1) several deep neural architectures to predict the relative position of i...
2006.06527
Zhennan Wang
Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
NeurIPS2020
https://proceedings.neurips.cc/paper/2020/file/dcd2f3f312b6705fb06f4f9f1b55b55c-Paper.pdf
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The strong correlation between neurons or filters can significantly weaken the generalization ability of neural networks. Inspired by the well-known Tammes problem, we propose a novel diversity regularization method to address this issue, which makes the normalized weight vectors of neurons or filters distributed on ...
[ { "created": "Sat, 6 Jun 2020 14:03:16 GMT", "version": "v1" }, { "created": "Tue, 23 Mar 2021 09:14:49 GMT", "version": "v2" } ]
2021-03-24
[ [ "Wang", "Zhennan", "" ], [ "Xiang", "Canqun", "" ], [ "Zou", "Wenbin", "" ], [ "Xu", "Chen", "" ] ]
The strong correlation between neurons or filters can significantly weaken the generalization ability of neural networks. Inspired by the well-known Tammes problem, we propose a novel diversity regularization method to address this issue, which makes the normalized weight vectors of neurons or filters distributed on a ...
1004.1198
Dung Nguyen
Dung Viet Nguyen, Bane Vasic, Michael Marcellin, Shashi Kiran Chilappagari
Structured LDPC Codes from Permutation Matrices Free of Small Trapping Sets
5 pages, 3 figures, submitted to ITW Dublin 2010
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a class of structured lowdensity parity-check (LDPC) codes whose parity check matrices are arrays of permutation matrices. The permutation matrices are obtained from Latin squares and form a finite field under some matrix operations. They are chosen so that the Tanner graphs do not contain subgr...
[ { "created": "Wed, 7 Apr 2010 22:06:06 GMT", "version": "v1" } ]
2010-04-09
[ [ "Nguyen", "Dung Viet", "" ], [ "Vasic", "Bane", "" ], [ "Marcellin", "Michael", "" ], [ "Chilappagari", "Shashi Kiran", "" ] ]
This paper introduces a class of structured lowdensity parity-check (LDPC) codes whose parity check matrices are arrays of permutation matrices. The permutation matrices are obtained from Latin squares and form a finite field under some matrix operations. They are chosen so that the Tanner graphs do not contain subgrap...
2007.02802
David Carrera
\'Alvaro Villalba, David Carrera
Multi-tenant Pub/Sub Processing for Real-time Data Streams
Partially funded by European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 639595) - HiEST Project Published Euro-Par 2018: Euro-Par 2018: Parallel Processing Workshops pp 251-262
Euro-Par 2018: Parallel Processing Workshops
10.1007/978-3-030-10549-5_20
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Devices and sensors generate streams of data across a diversity of locations and protocols. That data usually reaches a central platform that is used to store and process the streams. Processing can be done in real time, with transformations and enrichment happening on-the-fly, but it can also happen after data is st...
[ { "created": "Mon, 6 Jul 2020 15:05:21 GMT", "version": "v1" } ]
2020-07-07
[ [ "Villalba", "Álvaro", "" ], [ "Carrera", "David", "" ] ]
Devices and sensors generate streams of data across a diversity of locations and protocols. That data usually reaches a central platform that is used to store and process the streams. Processing can be done in real time, with transformations and enrichment happening on-the-fly, but it can also happen after data is stor...
1807.03299
Aurelien Garivier
Gr\'egoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne (IMT), Aur\'elien Garivier (IMT), S\'ebastien Gerchinovitz (IMT)
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
null
The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Aug 2018, London, United Kingdom
10.1145/3219819.3219917
null
cs.LG cs.GT stat.ME stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last decade, digital media (web or app publishers) generalized the use of real time ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Side Platforms (SSP), were created. Because of this multiplicity, publishers started to create competition between SSPs. In this setting, the...
[ { "created": "Mon, 9 Jul 2018 08:47:19 GMT", "version": "v1" } ]
2018-07-11
[ [ "Jauvion", "Grégoire", "", "IMT" ], [ "Grislain", "Nicolas", "", "IMT" ], [ "Dkengne", "Pascal Sielenou", "", "IMT" ], [ "Garivier", "Aurélien", "", "IMT" ], [ "Gerchinovitz", "Sébastien", "", "IMT" ] ]
Over the last decade, digital media (web or app publishers) generalized the use of real time ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Side Platforms (SSP), were created. Because of this multiplicity, publishers started to create competition between SSPs. In this setting, there...
1803.10648
Luis A. Pineda
Luis A. Pineda
A Distributed Extension of the Turing Machine
37 pages, 15 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Turing Machine has two implicit properties that depend on its underlying notion of computing: the format is fully determinate and computations are information preserving. Distributed representations lack these properties and cannot be fully captured by Turing's standard model. To address this limitation a distrib...
[ { "created": "Wed, 28 Mar 2018 14:36:54 GMT", "version": "v1" } ]
2018-03-29
[ [ "Pineda", "Luis A.", "" ] ]
The Turing Machine has two implicit properties that depend on its underlying notion of computing: the format is fully determinate and computations are information preserving. Distributed representations lack these properties and cannot be fully captured by Turing's standard model. To address this limitation a distribut...
2302.14024
Subhankar Banerjee
Subhankar Banerjee and Sennur Ulukus
The Freshness Game: Timely Communications in the Presence of an Adversary
arXiv admin note: substantial text overlap with arXiv:2202.04050, arXiv:2202.05233
null
null
null
cs.IT cs.GT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a communication system where a base station (BS) transmits update packets to $N$ users, one user at a time, over a wireless channel. We investigate the age of this status updating system with an adversary that jams the update packets in the downlink. We consider two system models: with diversity and witho...
[ { "created": "Mon, 27 Feb 2023 18:30:24 GMT", "version": "v1" } ]
2023-02-28
[ [ "Banerjee", "Subhankar", "" ], [ "Ulukus", "Sennur", "" ] ]
We consider a communication system where a base station (BS) transmits update packets to $N$ users, one user at a time, over a wireless channel. We investigate the age of this status updating system with an adversary that jams the update packets in the downlink. We consider two system models: with diversity and without...
2205.06427
Xingchen Zhao
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Test-time Fourier Style Calibration for Domain Generalization
31st International Joint Conference on Artificial Intelligence (IJCAI) 2022
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
The topic of generalizing machine learning models learned on a collection of source domains to unknown target domains is challenging. While many domain generalization (DG) methods have achieved promising results, they primarily rely on the source domains at train-time without manipulating the target domains at test-t...
[ { "created": "Fri, 13 May 2022 02:43:03 GMT", "version": "v1" }, { "created": "Wed, 18 May 2022 20:01:59 GMT", "version": "v2" } ]
2022-05-20
[ [ "Zhao", "Xingchen", "" ], [ "Liu", "Chang", "" ], [ "Sicilia", "Anthony", "" ], [ "Hwang", "Seong Jae", "" ], [ "Fu", "Yun", "" ] ]
The topic of generalizing machine learning models learned on a collection of source domains to unknown target domains is challenging. While many domain generalization (DG) methods have achieved promising results, they primarily rely on the source domains at train-time without manipulating the target domains at test-tim...
2104.05750
Georgios Kampanos
Georgios Kampanos and Siamak F. Shahandashti
Accept All: The Landscape of Cookie Banners in Greece and the UK
15 pages, 6 figures, 4 tables
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Cookie banners are devices implemented by websites to allow users to manage their privacy settings with respect to the use of cookies. They are part of a user's daily web browsing experience since legislation in Europe requires websites to show such notices. In this paper, we carry out a large-scale study of more tha...
[ { "created": "Mon, 12 Apr 2021 18:23:08 GMT", "version": "v1" } ]
2021-04-14
[ [ "Kampanos", "Georgios", "" ], [ "Shahandashti", "Siamak F.", "" ] ]
Cookie banners are devices implemented by websites to allow users to manage their privacy settings with respect to the use of cookies. They are part of a user's daily web browsing experience since legislation in Europe requires websites to show such notices. In this paper, we carry out a large-scale study of more than ...
2202.08221
Luca Mariot
Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati
Evolutionary Construction of Perfectly Balanced Boolean Functions
19 pages, 2 figures, 3 tables
null
null
null
cs.NE cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finding Boolean functions suitable for cryptographic primitives is a complex combinatorial optimization problem, since they must satisfy several properties to resist cryptanalytic attacks, and the space is very large, which grows super exponentially with the number of input variables. Recent research has focused on t...
[ { "created": "Wed, 16 Feb 2022 18:03:04 GMT", "version": "v1" } ]
2022-02-17
[ [ "Mariot", "Luca", "" ], [ "Picek", "Stjepan", "" ], [ "Jakobovic", "Domagoj", "" ], [ "Djurasevic", "Marko", "" ], [ "Leporati", "Alberto", "" ] ]
Finding Boolean functions suitable for cryptographic primitives is a complex combinatorial optimization problem, since they must satisfy several properties to resist cryptanalytic attacks, and the space is very large, which grows super exponentially with the number of input variables. Recent research has focused on the...
1910.05057
Elahe Arani
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
Noise as a Resource for Learning in Knowledge Distillation
Accepted at IEEE Winter Conference on Applications of Computer Vision (WACV, 2021)
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While noise is commonly considered a nuisance in computing systems, a number of studies in neuroscience have shown several benefits of noise in the nervous system from enabling the brain to carry out computations such as probabilistic inference as well as carrying additional information about the stimuli. Similarly, ...
[ { "created": "Fri, 11 Oct 2019 09:58:50 GMT", "version": "v1" }, { "created": "Tue, 15 Dec 2020 11:52:30 GMT", "version": "v2" } ]
2020-12-16
[ [ "Arani", "Elahe", "" ], [ "Sarfraz", "Fahad", "" ], [ "Zonooz", "Bahram", "" ] ]
While noise is commonly considered a nuisance in computing systems, a number of studies in neuroscience have shown several benefits of noise in the nervous system from enabling the brain to carry out computations such as probabilistic inference as well as carrying additional information about the stimuli. Similarly, no...
1904.05240
Zhimin Hou
Jing Xu and Zhimin Hou and Zhi Liu and Hong Qiao
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present an overview of robotic peg-in-hole assembly and analyze two main strategies: contact model-based and contact model-free strategies. More specifically, we first introduce the contact model control approaches, including contact state recognition and compliant control two steps. Additionally, w...
[ { "created": "Wed, 10 Apr 2019 15:20:23 GMT", "version": "v1" } ]
2019-04-11
[ [ "Xu", "Jing", "" ], [ "Hou", "Zhimin", "" ], [ "Liu", "Zhi", "" ], [ "Qiao", "Hong", "" ] ]
In this paper, we present an overview of robotic peg-in-hole assembly and analyze two main strategies: contact model-based and contact model-free strategies. More specifically, we first introduce the contact model control approaches, including contact state recognition and compliant control two steps. Additionally, we ...
2111.15259
Kavya Govindarajan
Kavya Govindarajan, Dhinakaran Vinayagamurthy, Praveen Jayachandran and Chester Rebeiro
Privacy-Preserving Decentralized Exchange Marketplaces
17 pages, 7 figures
null
null
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized exchange markets leveraging blockchain have been proposed recently to provide open and equal access to traders, improve transparency and reduce systemic risk of centralized exchanges. However, they compromise on the privacy of traders with respect to their asset ownership, account balance, order details...
[ { "created": "Tue, 30 Nov 2021 10:18:47 GMT", "version": "v1" }, { "created": "Mon, 20 Dec 2021 05:10:02 GMT", "version": "v2" } ]
2021-12-21
[ [ "Govindarajan", "Kavya", "" ], [ "Vinayagamurthy", "Dhinakaran", "" ], [ "Jayachandran", "Praveen", "" ], [ "Rebeiro", "Chester", "" ] ]
Decentralized exchange markets leveraging blockchain have been proposed recently to provide open and equal access to traders, improve transparency and reduce systemic risk of centralized exchanges. However, they compromise on the privacy of traders with respect to their asset ownership, account balance, order details a...
2004.00207
Xin Yang
Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2020)
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the evaluated organs accurately. Typical deep learning methods usually regress the coordinates directly or involve heatmap-matching. However, t...
[ { "created": "Wed, 1 Apr 2020 03:00:03 GMT", "version": "v1" } ]
2020-04-02
[ [ "Chen", "Chaoyu", "" ], [ "Yang", "Xin", "" ], [ "Huang", "Ruobing", "" ], [ "Shi", "Wenlong", "" ], [ "Liu", "Shengfeng", "" ], [ "Lin", "Mingrong", "" ], [ "Huang", "Yuhao", "" ], [ "Yang", "Y...
3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the evaluated organs accurately. Typical deep learning methods usually regress the coordinates directly or involve heatmap-matching. However, the...
1611.06538
Mohammad Ali Tahmasbi Nejad
Mohammad Ali Tahmasbi Nejad, Seyed Pooya Shariatpanahi, Babak Hossein Khalaj
On Storage Allocation in Cache-Enabled Interference Channels with Mixed CSIT
arXiv admin note: text overlap with arXiv:1209.5807 by other authors
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, it has been shown that in a cache-enabled interference channel, the storage at the transmit and receive sides are of equal value in terms of Degrees of Freedom (DoF). This is derived by assuming full Channel State Information at the Transmitter (CSIT). In this paper, we consider a more practical scenario, w...
[ { "created": "Sun, 20 Nov 2016 16:03:54 GMT", "version": "v1" }, { "created": "Sat, 21 Jan 2017 12:57:45 GMT", "version": "v2" } ]
2017-01-24
[ [ "Nejad", "Mohammad Ali Tahmasbi", "" ], [ "Shariatpanahi", "Seyed Pooya", "" ], [ "Khalaj", "Babak Hossein", "" ] ]
Recently, it has been shown that in a cache-enabled interference channel, the storage at the transmit and receive sides are of equal value in terms of Degrees of Freedom (DoF). This is derived by assuming full Channel State Information at the Transmitter (CSIT). In this paper, we consider a more practical scenario, whe...
1907.06206
Thanh Huy Nguyen
Thanh Huy Nguyen, Sylvie Daniel, Didier Gueriot, Christophe Sintes, Jean-Marc Le Caillec
Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data
PIA19 - Photogrammetric Image Analysis 2019 which will be held in conjunction with MRSS19 - Munich Remote Sensing Symposium 2019 on September 18th-20th, 2019 in Munich, Germany. Proceeding: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-2/W16 (2019) 181-188
10.5194/isprs-archives-XLII-2-W16-181-2019
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shapes, a...
[ { "created": "Sun, 14 Jul 2019 11:18:56 GMT", "version": "v1" } ]
2019-09-19
[ [ "Nguyen", "Thanh Huy", "" ], [ "Daniel", "Sylvie", "" ], [ "Gueriot", "Didier", "" ], [ "Sintes", "Christophe", "" ], [ "Caillec", "Jean-Marc Le", "" ] ]
Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shapes, as ...
1503.00309
Xin Luna Dong
Xian Li and Xin Luna Dong and Kenneth B. Lyons and Weiyi Meng and Divesh Srivastava
Scaling up Copy Detection
ICDE 2015
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy detection techniques do not scale for large sizes and numbers of data sources, so truth finding can be slowed down by one to two orders of m...
[ { "created": "Sun, 1 Mar 2015 17:00:29 GMT", "version": "v1" } ]
2015-03-03
[ [ "Li", "Xian", "" ], [ "Dong", "Xin Luna", "" ], [ "Lyons", "Kenneth B.", "" ], [ "Meng", "Weiyi", "" ], [ "Srivastava", "Divesh", "" ] ]
Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy detection techniques do not scale for large sizes and numbers of data sources, so truth finding can be slowed down by one to two orders of mag...
1504.01552
Ahmed Douik
Ahmed Douik, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
Hybrid Scheduling/Signal-Level Coordination in the Downlink of Multi-Cloud Radio-Access Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of resource allocation in cloud-radio access networks, recent studies assume either signal-level or scheduling-level coordination. This paper, instead, considers a hybrid level of coordination for the scheduling problem in the downlink of a multi-cloud radio-access network, as a means to benefit from b...
[ { "created": "Tue, 7 Apr 2015 11:23:39 GMT", "version": "v1" } ]
2015-04-08
[ [ "Douik", "Ahmed", "" ], [ "Dahrouj", "Hayssam", "" ], [ "Al-Naffouri", "Tareq Y.", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
In the context of resource allocation in cloud-radio access networks, recent studies assume either signal-level or scheduling-level coordination. This paper, instead, considers a hybrid level of coordination for the scheduling problem in the downlink of a multi-cloud radio-access network, as a means to benefit from bot...
2210.13827
Li Yu
Li Yu, Wenshuai Chang, Shiyu Wu and Moncef Gabbouj
End-to-end Transformer for Compressed Video Quality Enhancement
null
null
null
null
cs.MM cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional neural networks have achieved excellent results in compressed video quality enhancement task in recent years. State-of-the-art methods explore the spatiotemporal information of adjacent frames mainly by deformable convolution. However, offset fields in deformable convolution are difficult to train, and ...
[ { "created": "Tue, 25 Oct 2022 08:12:05 GMT", "version": "v1" } ]
2022-10-26
[ [ "Yu", "Li", "" ], [ "Chang", "Wenshuai", "" ], [ "Wu", "Shiyu", "" ], [ "Gabbouj", "Moncef", "" ] ]
Convolutional neural networks have achieved excellent results in compressed video quality enhancement task in recent years. State-of-the-art methods explore the spatiotemporal information of adjacent frames mainly by deformable convolution. However, offset fields in deformable convolution are difficult to train, and it...
1808.00529
Si Liu
Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
Open Category Detection with PAC Guarantees
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, reliably detecting such aliens is central to ensuring the safety and accuracy of test set predictions. Unfortunately, there are no algorithm...
[ { "created": "Wed, 1 Aug 2018 19:41:04 GMT", "version": "v1" } ]
2018-08-03
[ [ "Liu", "Si", "" ], [ "Garrepalli", "Risheek", "" ], [ "Dietterich", "Thomas G.", "" ], [ "Fern", "Alan", "" ], [ "Hendrycks", "Dan", "" ] ]
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, reliably detecting such aliens is central to ensuring the safety and accuracy of test set predictions. Unfortunately, there are no algorithms ...
2104.02103
David Fern\'andez-Baca
Ghazaleh Parvini and David Fern\'andez-Baca
Exact Algorithms for No-Rainbow Coloring and Phylogenetic Decisiveness
null
null
null
null
cs.DS cs.DM
http://creativecommons.org/licenses/by/4.0/
The input to the no-rainbow hypergraph coloring problem is a hypergraph $H$ where every hyperedge has $r$ nodes. The question is whether there exists an $r$-coloring of the nodes of $H$ such that all $r$ colors are used and there is no rainbow hyperedge -- i.e., no hyperedge uses all $r$ colors. The no-rainbow hyperg...
[ { "created": "Mon, 5 Apr 2021 18:19:18 GMT", "version": "v1" } ]
2021-04-07
[ [ "Parvini", "Ghazaleh", "" ], [ "Fernández-Baca", "David", "" ] ]
The input to the no-rainbow hypergraph coloring problem is a hypergraph $H$ where every hyperedge has $r$ nodes. The question is whether there exists an $r$-coloring of the nodes of $H$ such that all $r$ colors are used and there is no rainbow hyperedge -- i.e., no hyperedge uses all $r$ colors. The no-rainbow hypergra...
2006.12972
Daniel DiPietro
Daniel M. DiPietro, Shiying Xiong and Bo Zhu
Sparse Symplectically Integrated Neural Networks
Accepted as a conference paper to NeurIPS 2020. Main paper has 9 pages and 4 figures
null
null
null
cs.LG physics.comp-ph stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Sparse Symplectically Integrated Neural Networks (SSINNs), a novel model for learning Hamiltonian dynamical systems from data. SSINNs combine fourth-order symplectic integration with a learned parameterization of the Hamiltonian obtained using sparse regression through a mathematically elegant function s...
[ { "created": "Wed, 10 Jun 2020 03:33:37 GMT", "version": "v1" }, { "created": "Wed, 28 Oct 2020 05:11:31 GMT", "version": "v2" } ]
2020-10-29
[ [ "DiPietro", "Daniel M.", "" ], [ "Xiong", "Shiying", "" ], [ "Zhu", "Bo", "" ] ]
We introduce Sparse Symplectically Integrated Neural Networks (SSINNs), a novel model for learning Hamiltonian dynamical systems from data. SSINNs combine fourth-order symplectic integration with a learned parameterization of the Hamiltonian obtained using sparse regression through a mathematically elegant function spa...
2208.13000
David Axelrod
David S. Axelrod, Brian P. Harper, John C. Paolillo
YouTube COVID-19 Vaccine Misinformation on Twitter: Platform Interactions and Moderation Blind Spots
null
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
While most social media companies have attempted to address the challenge of COVID-19 misinformation, the success of those policies is difficult to assess, especially when focusing on individual platforms. This study explores the relationship between Twitter and YouTube in spreading COVID-19 vaccine-related misinform...
[ { "created": "Sat, 27 Aug 2022 12:55:58 GMT", "version": "v1" } ]
2022-08-30
[ [ "Axelrod", "David S.", "" ], [ "Harper", "Brian P.", "" ], [ "Paolillo", "John C.", "" ] ]
While most social media companies have attempted to address the challenge of COVID-19 misinformation, the success of those policies is difficult to assess, especially when focusing on individual platforms. This study explores the relationship between Twitter and YouTube in spreading COVID-19 vaccine-related misinformat...
2206.08297
Prateek Verma
Prateek Verma
A Language Model With Million Sample Context For Raw Audio Using Transformer Architectures
12 pages, 1 figure. Technical Report at Stanford University
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling long-term dependencies for audio signals is a particularly challenging problem, as even small-time scales yield on the order of a hundred thousand samples. With the recent advent of Transformers, neural architectures became good at modeling dependencies over longer time scales, but they suffered from quadrat...
[ { "created": "Thu, 16 Jun 2022 16:57:43 GMT", "version": "v1" }, { "created": "Tue, 16 May 2023 20:50:56 GMT", "version": "v2" } ]
2023-05-18
[ [ "Verma", "Prateek", "" ] ]
Modeling long-term dependencies for audio signals is a particularly challenging problem, as even small-time scales yield on the order of a hundred thousand samples. With the recent advent of Transformers, neural architectures became good at modeling dependencies over longer time scales, but they suffered from quadratic...
1310.8040
Angsheng Li
Angsheng Li, Wei Zhang, Yicheng Pan, Xuechen Li
Homophyly and Randomness Resist Cascading Failure in Networks
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The universal properties of power law and small world phenomenon of networks seem unavoidably obstacles for security of networking systems. Existing models never give secure networks. We found that the essence of security is the security against cascading failures of attacks and that nature solves the security by mec...
[ { "created": "Wed, 30 Oct 2013 06:47:04 GMT", "version": "v1" } ]
2013-10-31
[ [ "Li", "Angsheng", "" ], [ "Zhang", "Wei", "" ], [ "Pan", "Yicheng", "" ], [ "Li", "Xuechen", "" ] ]
The universal properties of power law and small world phenomenon of networks seem unavoidably obstacles for security of networking systems. Existing models never give secure networks. We found that the essence of security is the security against cascading failures of attacks and that nature solves the security by mecha...
1709.02738
Panayotis Mertikopoulos
Panayotis Mertikopoulos, Christos Papadimitriou and Georgios Piliouras
Cycles in adversarial regularized learning
22 pages, 4 figures
null
null
null
cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Regularized learning is a fundamental technique in online optimization, machine learning and many other fields of computer science. A natural question that arises in these settings is how regularized learning algorithms behave when faced against each other. We study a natural formulation of this problem by coupling r...
[ { "created": "Fri, 8 Sep 2017 15:16:54 GMT", "version": "v1" } ]
2017-09-11
[ [ "Mertikopoulos", "Panayotis", "" ], [ "Papadimitriou", "Christos", "" ], [ "Piliouras", "Georgios", "" ] ]
Regularized learning is a fundamental technique in online optimization, machine learning and many other fields of computer science. A natural question that arises in these settings is how regularized learning algorithms behave when faced against each other. We study a natural formulation of this problem by coupling reg...
2404.09964
Masato Tamura
Masato Tamura
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition
Accepted to IJCV, preprint version
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social group activity recognition is a challenging task extended from group activity recognition, where social groups must be recognized with their activities and group members. Existing methods tackle this task by leveraging region features of individuals following existing group activity recognition methods. Howeve...
[ { "created": "Mon, 15 Apr 2024 17:40:23 GMT", "version": "v1" } ]
2024-04-16
[ [ "Tamura", "Masato", "" ] ]
Social group activity recognition is a challenging task extended from group activity recognition, where social groups must be recognized with their activities and group members. Existing methods tackle this task by leveraging region features of individuals following existing group activity recognition methods. However,...
2210.11242
Jenny Schmalfuss
Jenny Schmalfuss and Lukas Mehl and Andr\'es Bruhn
Attacking Motion Estimation with Adversarial Snow
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current adversarial attacks for motion estimation (optical flow) optimize small per-pixel perturbations, which are unlikely to appear in the real world. In contrast, we exploit a real-world weather phenomenon for a novel attack with adversarially optimized snow. At the core of our attack is a differentiable renderer ...
[ { "created": "Thu, 20 Oct 2022 13:14:19 GMT", "version": "v1" } ]
2022-10-21
[ [ "Schmalfuss", "Jenny", "" ], [ "Mehl", "Lukas", "" ], [ "Bruhn", "Andrés", "" ] ]
Current adversarial attacks for motion estimation (optical flow) optimize small per-pixel perturbations, which are unlikely to appear in the real world. In contrast, we exploit a real-world weather phenomenon for a novel attack with adversarially optimized snow. At the core of our attack is a differentiable renderer th...
2002.00848
Xudong Wang
Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun
Structure-Feature based Graph Self-adaptive Pooling
7 pages, 4 figures, The Web Conference 2020
null
10.1145/3366423.3380083
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Various methods to deal with graph data have been proposed in recent years. However, most of these methods focus on graph feature aggregation rather than graph pooling. Besides, the existing top-k selection graph pooling methods have a few problems. First, to construct the pooled graph topology, current top-k selecti...
[ { "created": "Thu, 30 Jan 2020 13:58:49 GMT", "version": "v1" } ]
2020-02-06
[ [ "Zhang", "Liang", "" ], [ "Wang", "Xudong", "" ], [ "Li", "Hongsheng", "" ], [ "Zhu", "Guangming", "" ], [ "Shen", "Peiyi", "" ], [ "Li", "Ping", "" ], [ "Lu", "Xiaoyuan", "" ], [ "Shah", "Syed ...
Various methods to deal with graph data have been proposed in recent years. However, most of these methods focus on graph feature aggregation rather than graph pooling. Besides, the existing top-k selection graph pooling methods have a few problems. First, to construct the pooled graph topology, current top-k selection...
1912.13050
Michael Mogessie Ashenafi
Michael Mogessie Ashenafi
Online Peer-Assessment Datasets
16 pages
null
null
null
cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
Peer-assessment experiments were conducted among first and second year students at the University of Trento. The experiments spanned an entire semester and were conducted in five computer science courses between 2013 and 2016. Peer-assessment tasks included question and answer submission as well as answer evaluation ...
[ { "created": "Mon, 30 Dec 2019 18:48:55 GMT", "version": "v1" } ]
2020-01-01
[ [ "Ashenafi", "Michael Mogessie", "" ] ]
Peer-assessment experiments were conducted among first and second year students at the University of Trento. The experiments spanned an entire semester and were conducted in five computer science courses between 2013 and 2016. Peer-assessment tasks included question and answer submission as well as answer evaluation ta...
2307.09279
Xiaoqi Wang
Xiaoqi Wang, Jian Xiong, Hao Gao, and Weisi Lin
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The optimization objective of regression-based blind image quality assessment (IQA) models is to minimize the mean prediction error across the training dataset, which can lead to biased parameter estimation due to potential training data biases. To mitigate this issue, we propose a regression-free framework for image...
[ { "created": "Tue, 18 Jul 2023 14:19:28 GMT", "version": "v1" }, { "created": "Sat, 21 Oct 2023 07:50:38 GMT", "version": "v2" } ]
2023-10-24
[ [ "Wang", "Xiaoqi", "" ], [ "Xiong", "Jian", "" ], [ "Gao", "Hao", "" ], [ "Lin", "Weisi", "" ] ]
The optimization objective of regression-based blind image quality assessment (IQA) models is to minimize the mean prediction error across the training dataset, which can lead to biased parameter estimation due to potential training data biases. To mitigate this issue, we propose a regression-free framework for image q...
2004.08270
Matteo Bustreo
Avik Hati, Matteo Bustreo, Diego Sona, Vittorio Murino, Alessio Del Bue
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we tackle the task of automatically analyzing 3D volumetric scans obtained from computed tomography (CT) devices. In particular, we address a particular task for which data is very limited: the segmentation of ancient Egyptian mummies CT scans. We aim at digitally unwrapping the mummy and identify diff...
[ { "created": "Fri, 17 Apr 2020 14:35:00 GMT", "version": "v1" } ]
2020-04-20
[ [ "Hati", "Avik", "" ], [ "Bustreo", "Matteo", "" ], [ "Sona", "Diego", "" ], [ "Murino", "Vittorio", "" ], [ "Del Bue", "Alessio", "" ] ]
In this paper, we tackle the task of automatically analyzing 3D volumetric scans obtained from computed tomography (CT) devices. In particular, we address a particular task for which data is very limited: the segmentation of ancient Egyptian mummies CT scans. We aim at digitally unwrapping the mummy and identify differ...
2312.16250
Nantheera Anantrasirichai
Anqi Yi and Nantheera Anantrasirichai
A Comprehensive Study of Object Tracking in Low-Light Environments
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Accurate object tracking in low-light environments is crucial, particularly in surveillance and ethology applications. However, achieving this is significantly challenging due to the poor quality of captured sequences. Factors such as noise, color imbalance, and low contrast contribute to these challenges. This paper...
[ { "created": "Mon, 25 Dec 2023 17:20:57 GMT", "version": "v1" }, { "created": "Wed, 3 Jan 2024 13:59:14 GMT", "version": "v2" } ]
2024-01-04
[ [ "Yi", "Anqi", "" ], [ "Anantrasirichai", "Nantheera", "" ] ]
Accurate object tracking in low-light environments is crucial, particularly in surveillance and ethology applications. However, achieving this is significantly challenging due to the poor quality of captured sequences. Factors such as noise, color imbalance, and low contrast contribute to these challenges. This paper p...
2312.03248
Haowen Wang
Haowen Wang, Tao Sun, Cong Fan, Jinjie Gu
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
22 pages, 9 figures
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modular and composable transfer learning is an emerging direction in the field of Parameter Efficient Fine-Tuning, as it enables neural networks to better organize various aspects of knowledge, leading to improved cross-task generalization. In this paper, we introduce a novel approach Customized Polytropon C-Poly tha...
[ { "created": "Wed, 6 Dec 2023 02:47:56 GMT", "version": "v1" } ]
2023-12-07
[ [ "Wang", "Haowen", "" ], [ "Sun", "Tao", "" ], [ "Fan", "Cong", "" ], [ "Gu", "Jinjie", "" ] ]
Modular and composable transfer learning is an emerging direction in the field of Parameter Efficient Fine-Tuning, as it enables neural networks to better organize various aspects of knowledge, leading to improved cross-task generalization. In this paper, we introduce a novel approach Customized Polytropon C-Poly that ...
1310.7158
Mingyi Hong
Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang, Dechun Sun
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider the robust secure beamformer design for MISO wiretap channels. Assume that the eavesdroppers' channels are only partially available at the transmitter, we seek to maximize the secrecy rate under the transmit power and secrecy rate outage probability constraint. The outage probability constra...
[ { "created": "Sun, 27 Oct 2013 04:09:56 GMT", "version": "v1" } ]
2013-10-29
[ [ "Ma", "Shuai", "" ], [ "Hong", "Mingyi", "" ], [ "Song", "Enbin", "" ], [ "Wang", "Xiangfeng", "" ], [ "Sun", "Dechun", "" ] ]
In this paper we consider the robust secure beamformer design for MISO wiretap channels. Assume that the eavesdroppers' channels are only partially available at the transmitter, we seek to maximize the secrecy rate under the transmit power and secrecy rate outage probability constraint. The outage probability constrain...
2210.10973
Xinran Zhu
Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel
Scalable Bayesian Transformed Gaussian Processes
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The Bayesian transformed Gaussian process (BTG) model, proposed by Kedem and Oliviera, is a fully Bayesian counterpart to the warped Gaussian process (WGP) and marginalizes out a joint prior over input warping and kernel hyperparameters. This fully Bayesian treatment of hyperparameters often provides more accurate re...
[ { "created": "Thu, 20 Oct 2022 02:45:10 GMT", "version": "v1" } ]
2022-10-21
[ [ "Zhu", "Xinran", "" ], [ "Huang", "Leo", "" ], [ "Ibrahim", "Cameron", "" ], [ "Lee", "Eric Hans", "" ], [ "Bindel", "David", "" ] ]
The Bayesian transformed Gaussian process (BTG) model, proposed by Kedem and Oliviera, is a fully Bayesian counterpart to the warped Gaussian process (WGP) and marginalizes out a joint prior over input warping and kernel hyperparameters. This fully Bayesian treatment of hyperparameters often provides more accurate regr...
2208.13414
Peng Wu
Peng Wu, Lipeng Gu, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Gary Cheng, Mingqiang Wei
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection
18 pages, 9 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large imbalance often exists between the foreground points (i.e., objects) and the background points in outdoor LiDAR point clouds. It hinders cutting-edge detectors from focusing on informative areas to produce accurate 3D object detection results. This paper proposes a novel object detection network by semantical p...
[ { "created": "Mon, 29 Aug 2022 08:14:00 GMT", "version": "v1" } ]
2022-08-30
[ [ "Wu", "Peng", "" ], [ "Gu", "Lipeng", "" ], [ "Yan", "Xuefeng", "" ], [ "Xie", "Haoran", "" ], [ "Wang", "Fu Lee", "" ], [ "Cheng", "Gary", "" ], [ "Wei", "Mingqiang", "" ] ]
Large imbalance often exists between the foreground points (i.e., objects) and the background points in outdoor LiDAR point clouds. It hinders cutting-edge detectors from focusing on informative areas to produce accurate 3D object detection results. This paper proposes a novel object detection network by semantical poi...
2207.07836
Suman Banerjee
Mayank Singhal and Suman Banerjee
Envy\mbox{-}free Trip Planning in Group Trip Planning Query Problem
Accepted as a Full Paper @ 25th International Conference on Network-Based Information Systems (NBiS-2022). 12 Pages. 6 Figures
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
In recent times, Group Trip Planning Query (henceforth referred to as GTP Query) is one of the well\mbox{-}studied problems in Spatial Databases. The inputs to the problem are a road network where the vertices represent the Point-of-Interests (mentioned as POIs henceforth) and they are grouped into different categori...
[ { "created": "Sat, 16 Jul 2022 04:59:55 GMT", "version": "v1" } ]
2022-07-19
[ [ "Singhal", "Mayank", "" ], [ "Banerjee", "Suman", "" ] ]
In recent times, Group Trip Planning Query (henceforth referred to as GTP Query) is one of the well\mbox{-}studied problems in Spatial Databases. The inputs to the problem are a road network where the vertices represent the Point-of-Interests (mentioned as POIs henceforth) and they are grouped into different categories...
2402.09588
Yanshan Wang
David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang
Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
null
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A drug molecule is a substance that changes the organism's mental or physical state. Every approved drug has an indication, which refers to the therapeutic use of that drug for treating a particular medical condition. While the Large Language Model (LLM), a generative Artificial Intelligence (AI) technique, has recen...
[ { "created": "Wed, 14 Feb 2024 21:33:13 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2024 20:55:08 GMT", "version": "v2" } ]
2024-02-20
[ [ "Oniani", "David", "" ], [ "Hilsman", "Jordan", "" ], [ "Zang", "Chengxi", "" ], [ "Wang", "Junmei", "" ], [ "Cai", "Lianjin", "" ], [ "Zawala", "Jan", "" ], [ "Wang", "Yanshan", "" ] ]
A drug molecule is a substance that changes the organism's mental or physical state. Every approved drug has an indication, which refers to the therapeutic use of that drug for treating a particular medical condition. While the Large Language Model (LLM), a generative Artificial Intelligence (AI) technique, has recentl...
1403.1863
Hanie Sedghi
Hanie Sedghi and Edmond Jonckheere
Statistical Structure Learning, Towards a Robust Smart Grid
null
null
null
null
cs.LG cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust control and maintenance of the grid relies on accurate data. Both PMUs and state estimators are prone to false data injection attacks. Thus, it is crucial to have a mechanism for fast and accurate detection of an agent maliciously tampering with the data---for both preventing attacks that may lead to blackouts...
[ { "created": "Fri, 7 Mar 2014 20:26:09 GMT", "version": "v1" } ]
2014-03-10
[ [ "Sedghi", "Hanie", "" ], [ "Jonckheere", "Edmond", "" ] ]
Robust control and maintenance of the grid relies on accurate data. Both PMUs and state estimators are prone to false data injection attacks. Thus, it is crucial to have a mechanism for fast and accurate detection of an agent maliciously tampering with the data---for both preventing attacks that may lead to blackouts, ...
1412.1591
Travis Gagie
Travis Gagie and Simon J. Puglisi
Searching and Indexing Genomic Databases via Kernelization
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes. Several authors have recently suggested searching or indexing only one reference genome and t...
[ { "created": "Thu, 4 Dec 2014 09:11:46 GMT", "version": "v1" } ]
2014-12-05
[ [ "Gagie", "Travis", "" ], [ "Puglisi", "Simon J.", "" ] ]
The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes. Several authors have recently suggested searching or indexing only one reference genome and the...
1409.2313
Bernhard Rumpe
Shahar Maoz, Jan Oliver Ringert, Bernhard Rumpe
Semantically Configurable Consistency Analysis for Class and Object Diagrams
15 pages, 7 figures. Received Best Paper Award and ACM Distinguished Paper Award at the MODELS 2011 Conference
Model Driven Engineering Languages and Systems (MODELS 2011), Wellington, New Zealand. pp. 153-167, LNCS 6981, 2011.
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Checking consistency between an object diagram (OD) and a class diagram (CD) is an important analysis problem. However, several variations in the semantics of CDs and ODs, as used in different contexts and for different purposes, create a challenge for analysis tools. To address this challenge in this paper we invest...
[ { "created": "Mon, 8 Sep 2014 12:07:43 GMT", "version": "v1" } ]
2014-09-09
[ [ "Maoz", "Shahar", "" ], [ "Ringert", "Jan Oliver", "" ], [ "Rumpe", "Bernhard", "" ] ]
Checking consistency between an object diagram (OD) and a class diagram (CD) is an important analysis problem. However, several variations in the semantics of CDs and ODs, as used in different contexts and for different purposes, create a challenge for analysis tools. To address this challenge in this paper we investig...
1803.03354
Tharindu Fernando
Tharindu Fernando, Simon Denman, Sridha Sridharan and Clinton Fookes
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
To appear in IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual saliency patterns are the result of a variety of factors aside from the image being parsed, however existing approaches have ignored these. To address this limitation, we propose a novel saliency estimation model which leverages the semantic modelling power of conditional generative adversarial networks togeth...
[ { "created": "Fri, 9 Mar 2018 02:08:09 GMT", "version": "v1" } ]
2018-03-12
[ [ "Fernando", "Tharindu", "" ], [ "Denman", "Simon", "" ], [ "Sridharan", "Sridha", "" ], [ "Fookes", "Clinton", "" ] ]
Visual saliency patterns are the result of a variety of factors aside from the image being parsed, however existing approaches have ignored these. To address this limitation, we propose a novel saliency estimation model which leverages the semantic modelling power of conditional generative adversarial networks together...
1902.08874
Bargav Jayaraman
Bargav Jayaraman and David Evans
Evaluating Differentially Private Machine Learning in Practice
Revised version of a paper in USENIX Security 2019
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differential privacy is a strong notion for privacy that can be used to prove formal guarantees, in terms of a privacy budget, $\epsilon$, about how much information is leaked by a mechanism. However, implementations of privacy-preserving machine learning often select large values of $\epsilon$ in order to get accept...
[ { "created": "Sun, 24 Feb 2019 01:48:53 GMT", "version": "v1" }, { "created": "Fri, 1 Mar 2019 22:16:03 GMT", "version": "v2" }, { "created": "Sat, 1 Jun 2019 17:16:24 GMT", "version": "v3" }, { "created": "Mon, 12 Aug 2019 23:18:20 GMT", "version": "v4" } ]
2019-08-14
[ [ "Jayaraman", "Bargav", "" ], [ "Evans", "David", "" ] ]
Differential privacy is a strong notion for privacy that can be used to prove formal guarantees, in terms of a privacy budget, $\epsilon$, about how much information is leaked by a mechanism. However, implementations of privacy-preserving machine learning often select large values of $\epsilon$ in order to get acceptab...
1606.02615
David Darmon
David Darmon
Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series
null
Entropy 18.5 (2016): 190
null
null
cs.LG stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate. Our extension, the specific entropy rate, quantifies the amount of predictive uncertainty associated with a specific state, rather than averaged over all st...
[ { "created": "Wed, 8 Jun 2016 15:57:35 GMT", "version": "v1" } ]
2016-06-09
[ [ "Darmon", "David", "" ] ]
We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate. Our extension, the specific entropy rate, quantifies the amount of predictive uncertainty associated with a specific state, rather than averaged over all stat...
1707.01766
Thomas Studer
Kai Br\"unnler, Dandolo Flumini, Thomas Studer
A Logic of Blockchain Updates
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blockchains are distributed data structures that are used to achieve consensus in systems for cryptocurrencies (like Bitcoin) or smart contracts (like Ethereum). Although blockchains gained a lot of popularity recently, there is no logic-based model for blockchains available. We introduce BCL, a dynamic logic to reas...
[ { "created": "Thu, 6 Jul 2017 13:03:04 GMT", "version": "v1" } ]
2017-07-07
[ [ "Brünnler", "Kai", "" ], [ "Flumini", "Dandolo", "" ], [ "Studer", "Thomas", "" ] ]
Blockchains are distributed data structures that are used to achieve consensus in systems for cryptocurrencies (like Bitcoin) or smart contracts (like Ethereum). Although blockchains gained a lot of popularity recently, there is no logic-based model for blockchains available. We introduce BCL, a dynamic logic to reason...
2202.01322
Rahul Yedida
Rahul Yedida, Tim Menzies
How to Improve Deep Learning for Software Analytics (a case study with code smell detection)
Accepted to MSR 2022
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
To reduce technical debt and make code more maintainable, it is important to be able to warn programmers about code smells. State-of-the-art code small detectors use deep learners, without much exploration of alternatives within that technology. One promising alternative for software analytics and deep learning is ...
[ { "created": "Wed, 2 Feb 2022 23:07:16 GMT", "version": "v1" }, { "created": "Sun, 27 Mar 2022 20:53:54 GMT", "version": "v2" } ]
2022-03-29
[ [ "Yedida", "Rahul", "" ], [ "Menzies", "Tim", "" ] ]
To reduce technical debt and make code more maintainable, it is important to be able to warn programmers about code smells. State-of-the-art code small detectors use deep learners, without much exploration of alternatives within that technology. One promising alternative for software analytics and deep learning is GHOS...
2405.17780
Edith Cohen
Sara Ahmadian and Edith Cohen
Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs
null
ICML 2024
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Cardinality sketches are popular data structures that enhance the efficiency of working with large data sets. The sketches are randomized representations of sets that are only of logarithmic size but can support set merges and approximate cardinality (i.e., distinct count) queries. When queries are not adaptive, that...
[ { "created": "Tue, 28 May 2024 03:20:05 GMT", "version": "v1" } ]
2024-05-29
[ [ "Ahmadian", "Sara", "" ], [ "Cohen", "Edith", "" ] ]
Cardinality sketches are popular data structures that enhance the efficiency of working with large data sets. The sketches are randomized representations of sets that are only of logarithmic size but can support set merges and approximate cardinality (i.e., distinct count) queries. When queries are not adaptive, that i...
2306.04566
Bassine Fatima Zahra
Fatima Zahra Bassine, Terence Epule Epule, Ayoub Kechchour, Abdelghani Chehbouni
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review
35 pages, 12 figures, 14 tables
null
null
null
cs.LG cs.AI cs.NI cs.SE
http://creativecommons.org/licenses/by/4.0/
The integration of remote sensing and machine learning in agriculture is transforming the industry by providing insights and predictions through data analysis. This combination leads to improved yield prediction and water management, resulting in increased efficiency, better yields, and more sustainable agricultural ...
[ { "created": "Wed, 7 Jun 2023 16:13:16 GMT", "version": "v1" } ]
2023-06-08
[ [ "Bassine", "Fatima Zahra", "" ], [ "Epule", "Terence Epule", "" ], [ "Kechchour", "Ayoub", "" ], [ "Chehbouni", "Abdelghani", "" ] ]
The integration of remote sensing and machine learning in agriculture is transforming the industry by providing insights and predictions through data analysis. This combination leads to improved yield prediction and water management, resulting in increased efficiency, better yields, and more sustainable agricultural pr...
2308.15097
Lucien Tisserand
Lucien Tisserand (ICAR), Fr\'ed\'eric Armetta (SyCoSMA, LIRIS), Heike Baldauf-Quilliatre (ICAR), Antoine Bouquin (SyCoSMA, LIRIS), Salima Hassas (SyCoSMA, LIRIS), Mathieu Lefort (LIRIS, SyCoSMA)
Sequential annotations for naturally-occurring HRI: first insights
Peer-reviewed workshop paper accepted for the ''Human-Robot Conversational Interaction'' workshop that took place at the ''ACM/IEEE International Conference on Human-Robot Interaction'' 2023 Conference in Stockholm, Sweden
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explain the methodology we developed for improving the interactions accomplished by an embedded conversational agent, drawing from Conversation Analytic sequential and multimodal analysis. The use case is a Pepper robot that is expected to inform and orient users in a library. In order to propose and learn better ...
[ { "created": "Tue, 29 Aug 2023 08:07:26 GMT", "version": "v1" } ]
2023-08-30
[ [ "Tisserand", "Lucien", "", "ICAR" ], [ "Armetta", "Frédéric", "", "SyCoSMA, LIRIS" ], [ "Baldauf-Quilliatre", "Heike", "", "ICAR" ], [ "Bouquin", "Antoine", "", "SyCoSMA, LIRIS" ], [ "Hassas", "Salima", "", "SyCoSMA, L...
We explain the methodology we developed for improving the interactions accomplished by an embedded conversational agent, drawing from Conversation Analytic sequential and multimodal analysis. The use case is a Pepper robot that is expected to inform and orient users in a library. In order to propose and learn better in...
2209.01527
Suraj Mishra
Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen
Data-Driven Deep Supervision for Skin Lesion Classification
MICCAI 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Automatic classification of pigmented, non-pigmented, and depigmented non-melanocytic skin lesions have garnered lots of attention in recent years. However, imaging variations in skin texture, lesion shape, depigmentation contrast, lighting condition, etc. hinder robust feature extraction, affecting classification ac...
[ { "created": "Sun, 4 Sep 2022 03:57:08 GMT", "version": "v1" } ]
2022-09-07
[ [ "Mishra", "Suraj", "" ], [ "Zhang", "Yizhe", "" ], [ "Zhang", "Li", "" ], [ "Zhang", "Tianyu", "" ], [ "Hu", "X. Sharon", "" ], [ "Chen", "Danny Z.", "" ] ]
Automatic classification of pigmented, non-pigmented, and depigmented non-melanocytic skin lesions have garnered lots of attention in recent years. However, imaging variations in skin texture, lesion shape, depigmentation contrast, lighting condition, etc. hinder robust feature extraction, affecting classification accu...
2209.09124
Payam Nikdel
Payam Nikdel, Mohammad Mahdavian, Mo Chen
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
null
null
null
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human motion prediction is a fundamental part of many human-robot applications. Despite the recent progress in human motion prediction, most studies simplify the problem by predicting the human motion relative to a fixed joint and/or only limit their model to predict one possible future motion. While due to the compl...
[ { "created": "Tue, 13 Sep 2022 23:22:33 GMT", "version": "v1" }, { "created": "Sun, 2 Oct 2022 23:19:32 GMT", "version": "v2" } ]
2022-10-04
[ [ "Nikdel", "Payam", "" ], [ "Mahdavian", "Mohammad", "" ], [ "Chen", "Mo", "" ] ]
Human motion prediction is a fundamental part of many human-robot applications. Despite the recent progress in human motion prediction, most studies simplify the problem by predicting the human motion relative to a fixed joint and/or only limit their model to predict one possible future motion. While due to the complex...
2402.04889
Sebastian Schmidt
Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
Detecting Generated Native Ads in Conversational Search
WWW'24 Short Papers Track; 4 pages
null
10.1145/3589335.3651489
null
cs.IR cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Conversational search engines such as YouChat and Microsoft Copilot use large language models (LLMs) to generate responses to queries. It is only a small step to also let the same technology insert ads within the generated responses - instead of separately placing ads next to a response. Inserted ads would be reminis...
[ { "created": "Wed, 7 Feb 2024 14:22:51 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2024 09:15:42 GMT", "version": "v2" } ]
2024-05-01
[ [ "Schmidt", "Sebastian", "" ], [ "Zelch", "Ines", "" ], [ "Bevendorff", "Janek", "" ], [ "Stein", "Benno", "" ], [ "Hagen", "Matthias", "" ], [ "Potthast", "Martin", "" ] ]
Conversational search engines such as YouChat and Microsoft Copilot use large language models (LLMs) to generate responses to queries. It is only a small step to also let the same technology insert ads within the generated responses - instead of separately placing ads next to a response. Inserted ads would be reminisce...
1607.02937
Gabriel Gon\c{c}alves
Gabriel Resende Gon\c{c}alves, Sirlene Pio Gomes da Silva, David Menotti, William Robson Schwartz
Benchmark for License Plate Character Segmentation
32 pages, single column
J. Electron. Imaging. 25(5), 053034 (Oct 24, 2016)
10.1117/1.JEI.25.5.053034
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic License Plate Recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plates detection, segmention of license plate characters and optical character recognition (OCR). Even though commercial ...
[ { "created": "Mon, 11 Jul 2016 13:32:19 GMT", "version": "v1" }, { "created": "Mon, 31 Oct 2016 16:11:21 GMT", "version": "v2" } ]
2016-11-01
[ [ "Gonçalves", "Gabriel Resende", "" ], [ "da Silva", "Sirlene Pio Gomes", "" ], [ "Menotti", "David", "" ], [ "Schwartz", "William Robson", "" ] ]
Automatic License Plate Recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plates detection, segmention of license plate characters and optical character recognition (OCR). Even though commercial so...
1201.5360
Serdar Y\"uksel
Serdar Y\"uksel
Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Non-stationary/Unstable Linear Systems
To appear in IEEE Transactions on Information Theory
null
null
null
cs.IT cs.SY math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stabilization of non-stationary linear systems over noisy communication channels is considered. Stochastically stable sources, and unstable but noise-free or bounded-noise systems have been extensively studied in information theory and control theory literature since 1970s, with a renewed interest in the past decade....
[ { "created": "Wed, 25 Jan 2012 20:25:26 GMT", "version": "v1" }, { "created": "Tue, 1 May 2012 22:54:40 GMT", "version": "v2" }, { "created": "Fri, 4 May 2012 17:08:20 GMT", "version": "v3" } ]
2012-05-07
[ [ "Yüksel", "Serdar", "" ] ]
Stabilization of non-stationary linear systems over noisy communication channels is considered. Stochastically stable sources, and unstable but noise-free or bounded-noise systems have been extensively studied in information theory and control theory literature since 1970s, with a renewed interest in the past decade. T...
1704.02281
Subhojyoti Mukherjee
Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
Thresholding Bandits with Augmented UCB
7 pages, Accepted at Proceedings of the 26th International Joint Conference on Artificial Intelligence, 2017, 2515-2521
Proceedings of the 26th International Joint Conference on Artificial Intelligence, 2017, 2515-2521
10.24963/ijcai.2017/350
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose the Augmented-UCB (AugUCB) algorithm for a fixed-budget version of the thresholding bandit problem (TBP), where the objective is to identify a set of arms whose quality is above a threshold. A key feature of AugUCB is that it uses both mean and variance estimates to eliminate arms that have b...
[ { "created": "Fri, 7 Apr 2017 16:31:13 GMT", "version": "v1" }, { "created": "Tue, 9 May 2017 12:19:48 GMT", "version": "v2" }, { "created": "Fri, 7 Jun 2019 21:43:30 GMT", "version": "v3" } ]
2019-06-11
[ [ "Mukherjee", "Subhojyoti", "" ], [ "Naveen", "K. P.", "" ], [ "Sudarsanam", "Nandan", "" ], [ "Ravindran", "Balaraman", "" ] ]
In this paper we propose the Augmented-UCB (AugUCB) algorithm for a fixed-budget version of the thresholding bandit problem (TBP), where the objective is to identify a set of arms whose quality is above a threshold. A key feature of AugUCB is that it uses both mean and variance estimates to eliminate arms that have bee...