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2008.11290
Athar Sefid
Athar Sefid, Clyde Lee Giles, Prasenjit Mitra
Extractive Summarizer for Scholarly Articles
null
null
null
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce an extractive method that will summarize long scientific papers. Our model uses presentation slides provided by the authors of the papers as the gold summary standard to label the sentences. The sentences are ranked based on their novelty and their importance as estimated by deep neural networks. Our win...
[ { "created": "Tue, 25 Aug 2020 22:08:34 GMT", "version": "v1" } ]
2020-08-27
[ [ "Sefid", "Athar", "" ], [ "Giles", "Clyde Lee", "" ], [ "Mitra", "Prasenjit", "" ] ]
We introduce an extractive method that will summarize long scientific papers. Our model uses presentation slides provided by the authors of the papers as the gold summary standard to label the sentences. The sentences are ranked based on their novelty and their importance as estimated by deep neural networks. Our windo...
1212.3928
Harry Boyer
A. J. P. Lauret (PIMENT), T. A. Mara (PIMENT), H. Boyer (PIMENT), L. Adelard (PIMENT), F. Garde (PIMENT)
A validation methodology aid for improving a thermal building model: Case of diffuse radiation accounting in a tropical climate
null
Energy and Buildings 33, 7 (2001) 711-718
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As part of our efforts to complete the software CODYRUN validation, we chose as test building a block of flats constructed in Reunion Island, which has a humid tropical climate. The sensitivity analysis allowed us to study the effects of both diffuse and direct solar radiation on our model of this building. With rega...
[ { "created": "Mon, 17 Dec 2012 08:22:49 GMT", "version": "v1" } ]
2012-12-26
[ [ "Lauret", "A. J. P.", "", "PIMENT" ], [ "Mara", "T. A.", "", "PIMENT" ], [ "Boyer", "H.", "", "PIMENT" ], [ "Adelard", "L.", "", "PIMENT" ], [ "Garde", "F.", "", "PIMENT" ] ]
As part of our efforts to complete the software CODYRUN validation, we chose as test building a block of flats constructed in Reunion Island, which has a humid tropical climate. The sensitivity analysis allowed us to study the effects of both diffuse and direct solar radiation on our model of this building. With regard...
1307.7828
Aaron Darling
Sudheer Vakati and David Fern\'andez-Baca
Characterizing Compatibility and Agreement of Unrooted Trees via Cuts in Graphs
Peer-reviewed and presented as part of the 13th Workshop on Algorithms in Bioinformatics (WABI2013)
null
null
null
cs.DM cs.CE q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deciding whether there is a single tree -a supertree- that summarizes the evolutionary information in a collection of unrooted trees is a fundamental problem in phylogenetics. We consider two versions of this question: agreement and compatibility. In the first, the supertree is required to reflect precisely the relat...
[ { "created": "Tue, 30 Jul 2013 05:42:36 GMT", "version": "v1" } ]
2013-08-02
[ [ "Vakati", "Sudheer", "" ], [ "Fernández-Baca", "David", "" ] ]
Deciding whether there is a single tree -a supertree- that summarizes the evolutionary information in a collection of unrooted trees is a fundamental problem in phylogenetics. We consider two versions of this question: agreement and compatibility. In the first, the supertree is required to reflect precisely the relatio...
1311.1602
Jianwen Li
Jianwen Li, Geguang Pu, Lijun Zhang, Yinbo Yao, Moshe Y. Vardi, Jifeng he
Polsat: A Portfolio LTL Satisfiability Solver
11 pages, 1 table, 2 figures
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a portfolio LTL-satisfiability solver, called Polsat. To achieve fast satisfiability checking for LTL formulas, the tool integrates four representative LTL solvers: pltl, TRP++, NuSMV, and Aalta. The idea of Polsat is to run the component solvers in parallel to get best overall performance; o...
[ { "created": "Thu, 7 Nov 2013 08:31:05 GMT", "version": "v1" } ]
2013-11-08
[ [ "Li", "Jianwen", "" ], [ "Pu", "Geguang", "" ], [ "Zhang", "Lijun", "" ], [ "Yao", "Yinbo", "" ], [ "Vardi", "Moshe Y.", "" ], [ "he", "Jifeng", "" ] ]
In this paper we present a portfolio LTL-satisfiability solver, called Polsat. To achieve fast satisfiability checking for LTL formulas, the tool integrates four representative LTL solvers: pltl, TRP++, NuSMV, and Aalta. The idea of Polsat is to run the component solvers in parallel to get best overall performance; onc...
1207.4680
Fabian Schuh
Fabian Schuh, Andreas Schenk, and Johannes B. Huber
Reduced Complexity Super-Trellis Decoding for Convolutionally Encoded Transmission Over ISI-Channels
6 pages, 8 figures, accepted for ICNC'13. (see also: arXiv:1205.7031)
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/3.0/
In this paper we propose a matched encoding (ME) scheme for convolutionally encoded transmission over intersymbol interference (usually called ISI) channels. A novel trellis description enables to perform equalization and decoding jointly, i.e., enables efficient super-trellis decoding. By means of this matched non-l...
[ { "created": "Thu, 19 Jul 2012 14:19:02 GMT", "version": "v1" }, { "created": "Wed, 1 Aug 2012 10:01:05 GMT", "version": "v2" }, { "created": "Thu, 4 Oct 2012 06:22:48 GMT", "version": "v3" } ]
2012-10-05
[ [ "Schuh", "Fabian", "" ], [ "Schenk", "Andreas", "" ], [ "Huber", "Johannes B.", "" ] ]
In this paper we propose a matched encoding (ME) scheme for convolutionally encoded transmission over intersymbol interference (usually called ISI) channels. A novel trellis description enables to perform equalization and decoding jointly, i.e., enables efficient super-trellis decoding. By means of this matched non-lin...
2406.11599
Wonho Song
Wonho Song, Minho Oh, Jaeyoung Lee, and Hyun Myung
Galibr: Targetless LiDAR-Camera Extrinsic Calibration Method via Ground Plane Initialization
Accepted by IV 2024 Workshop
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid development of autonomous driving and SLAM technology, the performance of autonomous systems using multimodal sensors highly relies on accurate extrinsic calibration. Addressing the need for a convenient, maintenance-friendly calibration process in any natural environment, this paper introduces Galibr,...
[ { "created": "Fri, 14 Jun 2024 08:25:10 GMT", "version": "v1" } ]
2024-06-18
[ [ "Song", "Wonho", "" ], [ "Oh", "Minho", "" ], [ "Lee", "Jaeyoung", "" ], [ "Myung", "Hyun", "" ] ]
With the rapid development of autonomous driving and SLAM technology, the performance of autonomous systems using multimodal sensors highly relies on accurate extrinsic calibration. Addressing the need for a convenient, maintenance-friendly calibration process in any natural environment, this paper introduces Galibr, a...
2010.10012
Adish Singla
Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
Preference-Based Batch and Sequential Teaching
arXiv admin note: substantial text overlap with arXiv:1910.10944
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithmic machine teaching studies the interaction between a teacher and a learner where the teacher selects labeled examples aiming at teaching a target hypothesis. In a quest to lower teaching complexity, several teaching models and complexity measures have been proposed for both the batch settings (e.g., worst-c...
[ { "created": "Sat, 17 Oct 2020 14:39:47 GMT", "version": "v1" } ]
2020-10-21
[ [ "Mansouri", "Farnam", "" ], [ "Chen", "Yuxin", "" ], [ "Vartanian", "Ara", "" ], [ "Zhu", "Xiaojin", "" ], [ "Singla", "Adish", "" ] ]
Algorithmic machine teaching studies the interaction between a teacher and a learner where the teacher selects labeled examples aiming at teaching a target hypothesis. In a quest to lower teaching complexity, several teaching models and complexity measures have been proposed for both the batch settings (e.g., worst-cas...
2007.13159
Yash Goyal
Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri
Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk
Appearing in the proceedings of ISMIR 2020. Aayush Surana and Yash Goyal contributed equally
null
null
null
cs.IR cs.MM cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Musical preferences have been considered a mirror of the self. In this age of Big Data, online music streaming services allow us to capture ecologically valid music listening behavior and provide a rich source of information to identify several user-specific aspects. Studies have shown musical engagement to be an ind...
[ { "created": "Sun, 26 Jul 2020 16:02:10 GMT", "version": "v1" } ]
2020-07-28
[ [ "Surana", "Aayush", "" ], [ "Goyal", "Yash", "" ], [ "Shrivastava", "Manish", "" ], [ "Saarikallio", "Suvi", "" ], [ "Alluri", "Vinoo", "" ] ]
Musical preferences have been considered a mirror of the self. In this age of Big Data, online music streaming services allow us to capture ecologically valid music listening behavior and provide a rich source of information to identify several user-specific aspects. Studies have shown musical engagement to be an indir...
1701.04128
Wenjie Luo
Wenjie Luo and Yujia Li and Raquel Urtasun and Richard Zemel
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output must respond to large enough areas in the image to capture information about large objects. We introduce the notion of an effective receptive field, and...
[ { "created": "Sun, 15 Jan 2017 23:52:49 GMT", "version": "v1" }, { "created": "Wed, 25 Jan 2017 06:32:29 GMT", "version": "v2" } ]
2017-01-26
[ [ "Luo", "Wenjie", "" ], [ "Li", "Yujia", "" ], [ "Urtasun", "Raquel", "" ], [ "Zemel", "Richard", "" ] ]
We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output must respond to large enough areas in the image to capture information about large objects. We introduce the notion of an effective receptive field, and s...
2201.08461
Ioannis Agadakos
Ioannis Agadakos, Manuel Egele, and William Robertson
Polytope: Practical Memory Access Control for C++ Applications
null
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Designing and implementing secure software is inarguably more important than ever. However, despite years of research into privilege separating programs, it remains difficult to actually do so and such efforts can take years of labor-intensive engineering to reach fruition. At the same time, new intra-process isolati...
[ { "created": "Thu, 20 Jan 2022 21:40:56 GMT", "version": "v1" }, { "created": "Mon, 24 Jan 2022 16:49:51 GMT", "version": "v2" } ]
2022-01-25
[ [ "Agadakos", "Ioannis", "" ], [ "Egele", "Manuel", "" ], [ "Robertson", "William", "" ] ]
Designing and implementing secure software is inarguably more important than ever. However, despite years of research into privilege separating programs, it remains difficult to actually do so and such efforts can take years of labor-intensive engineering to reach fruition. At the same time, new intra-process isolation...
1804.06215
Zeming Li
Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun
DetNet: A Backbone network for Object Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent CNN based object detectors, no matter one-stage methods like YOLO, SSD, and RetinaNe or two-stage detectors like Faster R-CNN, R-FCN and FPN are usually trying to directly finetune from ImageNet pre-trained models designed for image classification. There has been little work discussing on the backbone feature ...
[ { "created": "Tue, 17 Apr 2018 13:09:13 GMT", "version": "v1" }, { "created": "Thu, 19 Apr 2018 06:36:36 GMT", "version": "v2" } ]
2018-04-20
[ [ "Li", "Zeming", "" ], [ "Peng", "Chao", "" ], [ "Yu", "Gang", "" ], [ "Zhang", "Xiangyu", "" ], [ "Deng", "Yangdong", "" ], [ "Sun", "Jian", "" ] ]
Recent CNN based object detectors, no matter one-stage methods like YOLO, SSD, and RetinaNe or two-stage detectors like Faster R-CNN, R-FCN and FPN are usually trying to directly finetune from ImageNet pre-trained models designed for image classification. There has been little work discussing on the backbone feature ex...
2201.01227
Farshad Noravesh
Farshad Noravesh
Sparse Non-Convex Optimization For Higher Moment Portfolio Management
null
null
null
null
cs.CE q-fin.PM
http://creativecommons.org/licenses/by/4.0/
One of the reasons that higher order moment portfolio optimization methods are not fully used by practitioners in investment decisions is the complexity that these higher moments create by making the optimization problem nonconvex. Many few methods and theoretical results exists in the literature, but the present pap...
[ { "created": "Tue, 4 Jan 2022 16:14:23 GMT", "version": "v1" }, { "created": "Thu, 6 Jan 2022 13:29:47 GMT", "version": "v2" } ]
2022-01-07
[ [ "Noravesh", "Farshad", "" ] ]
One of the reasons that higher order moment portfolio optimization methods are not fully used by practitioners in investment decisions is the complexity that these higher moments create by making the optimization problem nonconvex. Many few methods and theoretical results exists in the literature, but the present paper...
2211.10086
Kaspar Beelen
Kaspar Beelen and Daniel van Strien
Metadata Might Make Language Models Better
null
null
null
null
cs.CL cs.DL
http://creativecommons.org/licenses/by/4.0/
This paper discusses the benefits of including metadata when training language models on historical collections. Using 19th-century newspapers as a case study, we extend the time-masking approach proposed by Rosin et al., 2022 and compare different strategies for inserting temporal, political and geographical informa...
[ { "created": "Fri, 18 Nov 2022 08:29:00 GMT", "version": "v1" } ]
2022-11-21
[ [ "Beelen", "Kaspar", "" ], [ "van Strien", "Daniel", "" ] ]
This paper discusses the benefits of including metadata when training language models on historical collections. Using 19th-century newspapers as a case study, we extend the time-masking approach proposed by Rosin et al., 2022 and compare different strategies for inserting temporal, political and geographical informati...
1901.09641
Dario Lodi Rizzini
Luca Consolini, Mattia Laurini, Marco Locatelli, Dario Lodi Rizzini
A Second-Order Lower Bound for Globally Optimal 2D Registration
40 pages, 13 figures, 2 tables
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of planar registration consists in finding the transformation that better aligns two point sets. In our setting, the search domain is the set of planar rigid transformations and the objective function is the sum of the distances between each point of the transformed source set and the destination set. We ...
[ { "created": "Mon, 28 Jan 2019 13:43:24 GMT", "version": "v1" }, { "created": "Thu, 21 May 2020 14:31:04 GMT", "version": "v2" } ]
2020-05-22
[ [ "Consolini", "Luca", "" ], [ "Laurini", "Mattia", "" ], [ "Locatelli", "Marco", "" ], [ "Rizzini", "Dario Lodi", "" ] ]
The problem of planar registration consists in finding the transformation that better aligns two point sets. In our setting, the search domain is the set of planar rigid transformations and the objective function is the sum of the distances between each point of the transformed source set and the destination set. We co...
1709.04991
Adrian Sampson
Alex Renda, Harrison Goldstein, Sarah Bird, Chris Quirk and Adrian Sampson
Abstractions for AI-Based User Interfaces and Systems
null
null
null
null
cs.PL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Novel user interfaces based on artificial intelligence, such as natural-language agents, present new categories of engineering challenges. These systems need to cope with uncertainty and ambiguity, interface with machine learning algorithms, and compose information from multiple users to make decisions. We propose to...
[ { "created": "Thu, 14 Sep 2017 21:53:01 GMT", "version": "v1" } ]
2017-09-18
[ [ "Renda", "Alex", "" ], [ "Goldstein", "Harrison", "" ], [ "Bird", "Sarah", "" ], [ "Quirk", "Chris", "" ], [ "Sampson", "Adrian", "" ] ]
Novel user interfaces based on artificial intelligence, such as natural-language agents, present new categories of engineering challenges. These systems need to cope with uncertainty and ambiguity, interface with machine learning algorithms, and compose information from multiple users to make decisions. We propose to t...
1905.04107
Estefania Talavera
Estefania Talavera, Petia Radeva, Nicolai Petkov
Towards Emotion Retrieval in Egocentric PhotoStream
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer's days, we propose a method that aims to assig...
[ { "created": "Fri, 10 May 2019 12:24:00 GMT", "version": "v1" } ]
2019-05-13
[ [ "Talavera", "Estefania", "" ], [ "Radeva", "Petia", "" ], [ "Petkov", "Nicolai", "" ] ]
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer's days, we propose a method that aims to assign ...
1607.06123
Gaurav Singh
Sandra Mitrovi\'c and Gaurav Singh
Predicting Branch Visits and Credit Card Up-selling using Temporal Banking Data
4 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is an abundance of temporal and non-temporal data in banking (and other industries), but such temporal activity data can not be used directly with classical machine learning models. In this work, we perform extensive feature extraction from the temporal user activity data in an attempt to predict user visits to...
[ { "created": "Wed, 20 Jul 2016 20:55:14 GMT", "version": "v1" }, { "created": "Wed, 7 Sep 2016 21:15:06 GMT", "version": "v2" } ]
2016-09-09
[ [ "Mitrović", "Sandra", "" ], [ "Singh", "Gaurav", "" ] ]
There is an abundance of temporal and non-temporal data in banking (and other industries), but such temporal activity data can not be used directly with classical machine learning models. In this work, we perform extensive feature extraction from the temporal user activity data in an attempt to predict user visits to d...
2004.00750
Matt Gibson-Lopez
Safwa Ameer, Matt Gibson-Lopez, Erik Krohn, Sean Soderman, and Qing Wang
Terrain Visibility Graphs: Persistence is Not Enough
To appear in SoCG 2020
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider the Visibility Graph Recognition and Reconstruction problems in the context of terrains. Here, we are given a graph $G$ with labeled vertices $v_0, v_1, \ldots, v_{n-1}$ such that the labeling corresponds with a Hamiltonian path $H$. $G$ also may contain other edges. We are interested in de...
[ { "created": "Thu, 2 Apr 2020 00:16:13 GMT", "version": "v1" } ]
2020-04-03
[ [ "Ameer", "Safwa", "" ], [ "Gibson-Lopez", "Matt", "" ], [ "Krohn", "Erik", "" ], [ "Soderman", "Sean", "" ], [ "Wang", "Qing", "" ] ]
In this paper, we consider the Visibility Graph Recognition and Reconstruction problems in the context of terrains. Here, we are given a graph $G$ with labeled vertices $v_0, v_1, \ldots, v_{n-1}$ such that the labeling corresponds with a Hamiltonian path $H$. $G$ also may contain other edges. We are interested in dete...
2007.05924
Vivek Kumar Singh Ph.D.
Mousumi Karmakar, Sumit Kumar Banshal, Vivek Kumar Singh
Does presence of social media plugins in a journal website result in higher social media attention of its research publications
in press
Scientometrics, 2020
10.1007/s11192-020-03574-7
null
cs.DL cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media platforms have now emerged as an important medium for wider dissemination of research articles; with authors, readers and publishers creating different kinds of social media activity about the article. Some research studies have even shown that articles that get more social media attention may get higher...
[ { "created": "Sun, 12 Jul 2020 06:35:26 GMT", "version": "v1" } ]
2020-07-14
[ [ "Karmakar", "Mousumi", "" ], [ "Banshal", "Sumit Kumar", "" ], [ "Singh", "Vivek Kumar", "" ] ]
Social media platforms have now emerged as an important medium for wider dissemination of research articles; with authors, readers and publishers creating different kinds of social media activity about the article. Some research studies have even shown that articles that get more social media attention may get higher v...
1701.06049
James MacGlashan
James MacGlashan, Mark K Ho, Robert Loftin, Bei Peng, Guan Wang, David Roberts, Matthew E. Taylor, Michael L. Littman
Interactive Learning from Policy-Dependent Human Feedback
8 pages + references, 5 figures
International Conference on Machine Learning. PMLR, 2017
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the problem of interactively learning behaviors communicated by a human teacher using positive and negative feedback. Much previous work on this problem has made the assumption that people provide feedback for decisions that is dependent on the behavior they are teaching and is independent fro...
[ { "created": "Sat, 21 Jan 2017 16:37:41 GMT", "version": "v1" }, { "created": "Sat, 28 Jan 2023 17:02:34 GMT", "version": "v2" } ]
2023-01-31
[ [ "MacGlashan", "James", "" ], [ "Ho", "Mark K", "" ], [ "Loftin", "Robert", "" ], [ "Peng", "Bei", "" ], [ "Wang", "Guan", "" ], [ "Roberts", "David", "" ], [ "Taylor", "Matthew E.", "" ], [ "Littman...
This paper investigates the problem of interactively learning behaviors communicated by a human teacher using positive and negative feedback. Much previous work on this problem has made the assumption that people provide feedback for decisions that is dependent on the behavior they are teaching and is independent from ...
2002.10751
Manh-Dung Nguyen
Manh-Dung Nguyen, S\'ebastien Bardin, Richard Bonichon, Roland Groz, Matthieu Lemerre
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities
The long version of paper appeared in the 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020)
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Directed fuzzing focuses on automatically testing specific parts of the code by taking advantage of additional information such as (partial) bug stack trace, patches or risky operations. Key applications include bug reproduction, patch testing and static analysis report verification. Although directed fuzzing has rec...
[ { "created": "Tue, 25 Feb 2020 09:09:54 GMT", "version": "v1" }, { "created": "Mon, 17 Aug 2020 08:33:50 GMT", "version": "v2" } ]
2020-08-18
[ [ "Nguyen", "Manh-Dung", "" ], [ "Bardin", "Sébastien", "" ], [ "Bonichon", "Richard", "" ], [ "Groz", "Roland", "" ], [ "Lemerre", "Matthieu", "" ] ]
Directed fuzzing focuses on automatically testing specific parts of the code by taking advantage of additional information such as (partial) bug stack trace, patches or risky operations. Key applications include bug reproduction, patch testing and static analysis report verification. Although directed fuzzing has recei...
2403.07312
Wenhui Tan
Wenhui Tan, Bei Liu, Junbo Zhang, Ruihua Song, Jianlong Fu
Multi-task Manipulation Policy Modeling with Visuomotor Latent Diffusion
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling a generalized visuomotor policy has been a longstanding challenge for both computer vision and robotics communities. Existing approaches often fail to efficiently leverage cross-dataset resources or rely on heavy Vision-Language models, which require substantial computational resources, thereby limiting thei...
[ { "created": "Tue, 12 Mar 2024 04:49:59 GMT", "version": "v1" }, { "created": "Mon, 1 Apr 2024 07:03:52 GMT", "version": "v2" } ]
2024-04-02
[ [ "Tan", "Wenhui", "" ], [ "Liu", "Bei", "" ], [ "Zhang", "Junbo", "" ], [ "Song", "Ruihua", "" ], [ "Fu", "Jianlong", "" ] ]
Modeling a generalized visuomotor policy has been a longstanding challenge for both computer vision and robotics communities. Existing approaches often fail to efficiently leverage cross-dataset resources or rely on heavy Vision-Language models, which require substantial computational resources, thereby limiting their ...
1208.0515
Simone Martini
Ugo Dal Lago (Universit\`a di Bologna - Dipartimento di Scienze dell'Informazione), Simone Martini (Universit\`a di Bologna - Dipartimento di Scienze dell'Informazione)
On Constructor Rewrite Systems and the Lambda Calculus
27 pages. arXiv admin note: substantial text overlap with arXiv:0904.4120
Logical Methods in Computer Science, Volume 8, Issue 3 (August 14, 2012) lmcs:1213
10.2168/LMCS-8(3:12)2012
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that orthogonal constructor term rewrite systems and lambda-calculus with weak (i.e., no reduction is allowed under the scope of a lambda-abstraction) call-by-value reduction can simulate each other with a linear overhead. In particular, weak call-by- value beta-reduction can be simulated by an orthogonal co...
[ { "created": "Thu, 2 Aug 2012 15:21:44 GMT", "version": "v1" }, { "created": "Sat, 11 Aug 2012 19:01:18 GMT", "version": "v2" } ]
2019-03-14
[ [ "Lago", "Ugo Dal", "", "Università di Bologna - Dipartimento di Scienze\n dell'Informazione" ], [ "Martini", "Simone", "", "Università di Bologna - Dipartimento di\n Scienze dell'Informazione" ] ]
We prove that orthogonal constructor term rewrite systems and lambda-calculus with weak (i.e., no reduction is allowed under the scope of a lambda-abstraction) call-by-value reduction can simulate each other with a linear overhead. In particular, weak call-by- value beta-reduction can be simulated by an orthogonal cons...
2404.12907
Anna Zych-Pawlewicz
Anna Zych-Pawlewicz, Marek \.Zochowski
Dynamic Parameterized Feedback Problems in Tournaments
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present the first dynamic algorithms for the problem of Feedback Arc Set in Tournaments (FAST) and the problem of Feedback Vertex Set in Tournaments (FVST). Our algorithms maintain a dynamic tournament on n vertices altered by redirecting the arcs, and answer if the tournament admits a feedback arc s...
[ { "created": "Fri, 19 Apr 2024 14:28:00 GMT", "version": "v1" } ]
2024-04-22
[ [ "Zych-Pawlewicz", "Anna", "" ], [ "Żochowski", "Marek", "" ] ]
In this paper we present the first dynamic algorithms for the problem of Feedback Arc Set in Tournaments (FAST) and the problem of Feedback Vertex Set in Tournaments (FVST). Our algorithms maintain a dynamic tournament on n vertices altered by redirecting the arcs, and answer if the tournament admits a feedback arc set...
2305.14839
Yunshui Li
Yunshui Li, Binyuan Hui, ZhiChao Yin, Min Yang, Fei Huang and Yongbin Li
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
ACL 2023
null
null
null
cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Perceiving multi-modal information and fulfilling dialogues with humans is a long-term goal of artificial intelligence. Pre-training is commonly regarded as an effective approach for multi-modal dialogue. However, due to the limited availability of multi-modal dialogue data, there is still scarce research on multi-mo...
[ { "created": "Wed, 24 May 2023 07:43:29 GMT", "version": "v1" }, { "created": "Tue, 13 Jun 2023 06:31:46 GMT", "version": "v2" } ]
2023-06-14
[ [ "Li", "Yunshui", "" ], [ "Hui", "Binyuan", "" ], [ "Yin", "ZhiChao", "" ], [ "Yang", "Min", "" ], [ "Huang", "Fei", "" ], [ "Li", "Yongbin", "" ] ]
Perceiving multi-modal information and fulfilling dialogues with humans is a long-term goal of artificial intelligence. Pre-training is commonly regarded as an effective approach for multi-modal dialogue. However, due to the limited availability of multi-modal dialogue data, there is still scarce research on multi-moda...
2310.16808
Ramachandra Raghavendra Prof.
Raghavendra Ramachandra and Sushma Venkatesh
Fingervein Verification using Convolutional Multi-Head Attention Network
Accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Biometric verification systems are deployed in various security-based access-control applications that require user-friendly and reliable person verification. Among the different biometric characteristics, fingervein biometrics have been extensively studied owing to their reliable verification performance. Furthermor...
[ { "created": "Wed, 25 Oct 2023 17:38:16 GMT", "version": "v1" } ]
2023-10-26
[ [ "Ramachandra", "Raghavendra", "" ], [ "Venkatesh", "Sushma", "" ] ]
Biometric verification systems are deployed in various security-based access-control applications that require user-friendly and reliable person verification. Among the different biometric characteristics, fingervein biometrics have been extensively studied owing to their reliable verification performance. Furthermore,...
2104.04934
Damien Rohmer
Damien Rohmer, Marco Tarini, Niranjan Kalyanasundaram, Faezeh Moshfeghifar, Marie-Paule Cani, Victor Zordan
Velocity Skinning for Real-time Stylized Skeletal Animation
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Secondary animation effects are essential for liveliness. We propose a simple, real-time solution for adding them on top of standard skinning, enabling artist-driven stylization of skeletal motion. Our method takes a standard skeleton animation as input, along with a skin mesh and rig weights. It then derives per-ver...
[ { "created": "Sun, 11 Apr 2021 06:49:29 GMT", "version": "v1" } ]
2021-04-13
[ [ "Rohmer", "Damien", "" ], [ "Tarini", "Marco", "" ], [ "Kalyanasundaram", "Niranjan", "" ], [ "Moshfeghifar", "Faezeh", "" ], [ "Cani", "Marie-Paule", "" ], [ "Zordan", "Victor", "" ] ]
Secondary animation effects are essential for liveliness. We propose a simple, real-time solution for adding them on top of standard skinning, enabling artist-driven stylization of skeletal motion. Our method takes a standard skeleton animation as input, along with a skin mesh and rig weights. It then derives per-verte...
1808.06143
Azza Eltraify
AEA Eltraify, M. Musa, A. Al-Quzweeni, J. Elmirghani
Experimental Evaluation of Passive Optical Network Based Data Centre Architecture
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Passive optical networks (PON) technology is increasingly becoming an attractive solution in modern data centres as it provides energy efficient, high capacity, low cost, scalable and flexible connectivity. In this paper we report the implementation of a PON based data centre architecture that provides high resilienc...
[ { "created": "Sat, 18 Aug 2018 23:04:38 GMT", "version": "v1" } ]
2018-08-21
[ [ "Eltraify", "AEA", "" ], [ "Musa", "M.", "" ], [ "Al-Quzweeni", "A.", "" ], [ "Elmirghani", "J.", "" ] ]
Passive optical networks (PON) technology is increasingly becoming an attractive solution in modern data centres as it provides energy efficient, high capacity, low cost, scalable and flexible connectivity. In this paper we report the implementation of a PON based data centre architecture that provides high resilience ...
1809.03776
Ryota Suzuki
Ryota Suzuki, Shingo Takahashi, Murtuza Petladwala, and Shigeru Kohmoto
Solving Non-identifiable Latent Feature Models
Submitted to NIPS 2018 (https://nips.cc/). 15 pages , 4 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Latent feature models (LFM)s are widely employed for extracting latent structures of data. While offering high, parameter estimation is difficult with LFMs because of the combinational nature of latent features, and non-identifiability is a particularly difficult problem when parameter estimation is not unique and th...
[ { "created": "Tue, 11 Sep 2018 10:11:48 GMT", "version": "v1" }, { "created": "Wed, 26 Sep 2018 05:46:55 GMT", "version": "v2" } ]
2018-09-27
[ [ "Suzuki", "Ryota", "" ], [ "Takahashi", "Shingo", "" ], [ "Petladwala", "Murtuza", "" ], [ "Kohmoto", "Shigeru", "" ] ]
Latent feature models (LFM)s are widely employed for extracting latent structures of data. While offering high, parameter estimation is difficult with LFMs because of the combinational nature of latent features, and non-identifiability is a particularly difficult problem when parameter estimation is not unique and ther...
2107.10516
David Wajc
Kristen Kessel, Amin Saberi, Ali Shameli, David Wajc
The Stationary Prophet Inequality Problem
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
We study a continuous and infinite time horizon counterpart to the classic prophet inequality, which we term the stationary prophet inequality problem. Here, copies of a good arrive and perish according to Poisson point processes. Buyers arrive similarly and make take-it-or-leave-it offers for unsold items. The objec...
[ { "created": "Thu, 22 Jul 2021 08:19:46 GMT", "version": "v1" } ]
2021-07-23
[ [ "Kessel", "Kristen", "" ], [ "Saberi", "Amin", "" ], [ "Shameli", "Ali", "" ], [ "Wajc", "David", "" ] ]
We study a continuous and infinite time horizon counterpart to the classic prophet inequality, which we term the stationary prophet inequality problem. Here, copies of a good arrive and perish according to Poisson point processes. Buyers arrive similarly and make take-it-or-leave-it offers for unsold items. The objecti...
2011.12538
Tengteng Wen
Tengteng Wen, Zhuofeng Mo, Jingshan Li, Qi Liu, Liming Wu and Dehan Luo
An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning methods have been widely applied to visual and acoustic technology. In this paper, we proposed an odor labeling convolutional encoder-decoder (OLCE) for odor identification in machine olfaction. OLCE composes a convolutional neural network encoder and decoder where the encoder output is constrained to o...
[ { "created": "Wed, 25 Nov 2020 06:22:02 GMT", "version": "v1" }, { "created": "Wed, 6 Jan 2021 06:58:33 GMT", "version": "v2" } ]
2021-01-07
[ [ "Wen", "Tengteng", "" ], [ "Mo", "Zhuofeng", "" ], [ "Li", "Jingshan", "" ], [ "Liu", "Qi", "" ], [ "Wu", "Liming", "" ], [ "Luo", "Dehan", "" ] ]
Deep learning methods have been widely applied to visual and acoustic technology. In this paper, we proposed an odor labeling convolutional encoder-decoder (OLCE) for odor identification in machine olfaction. OLCE composes a convolutional neural network encoder and decoder where the encoder output is constrained to odo...
1906.08829
Ashesh Chattopadhyay
Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM
Some changes, in Figures, addition of an appendix etc has been done
Nonlin. Processes Geophys. 2020
10.5194/npg-27-373-2020
null
cs.LG math.DS nlin.CD stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the performance of three deep learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multi-scale spatio-temporal Lorenz 96 system is examined. The methods are: echo state network (a type of reservoir computing, RC-ESN), deep feed-forward artificial neural...
[ { "created": "Thu, 20 Jun 2019 20:16:53 GMT", "version": "v1" }, { "created": "Mon, 1 Jul 2019 00:51:09 GMT", "version": "v2" }, { "created": "Fri, 6 Dec 2019 03:48:47 GMT", "version": "v3" } ]
2020-07-07
[ [ "Chattopadhyay", "Ashesh", "" ], [ "Hassanzadeh", "Pedram", "" ], [ "Subramanian", "Devika", "" ] ]
In this paper, the performance of three deep learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multi-scale spatio-temporal Lorenz 96 system is examined. The methods are: echo state network (a type of reservoir computing, RC-ESN), deep feed-forward artificial neural n...
2405.18261
Pengxiang Zhang
Pengxiang Zhang, Wilfried Haensch, Charudatta M. Phatak, Supratik Guha
Error-Free and Current-Driven Synthetic Antiferromagnetic Domain Wall Memory Enabled by Channel Meandering
24 pages
null
null
null
cs.ET cond-mat.mes-hall cond-mat.mtrl-sci physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new type of multi-bit and energy-efficient magnetic memory based on current-driven, field-free, and highly controlled domain wall motion. A meandering domain wall channel with precisely interspersed pinning regions provides the multi-bit capability of a magnetic tunnel junction. The magnetic free layer o...
[ { "created": "Tue, 28 May 2024 15:16:21 GMT", "version": "v1" } ]
2024-05-29
[ [ "Zhang", "Pengxiang", "" ], [ "Haensch", "Wilfried", "" ], [ "Phatak", "Charudatta M.", "" ], [ "Guha", "Supratik", "" ] ]
We propose a new type of multi-bit and energy-efficient magnetic memory based on current-driven, field-free, and highly controlled domain wall motion. A meandering domain wall channel with precisely interspersed pinning regions provides the multi-bit capability of a magnetic tunnel junction. The magnetic free layer of ...
2408.04154
Judy Hanwen Shen
Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen
The Data Addition Dilemma
Machine Learning For Health Care 2024 (MLHC)
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
In many machine learning for healthcare tasks, standard datasets are constructed by amassing data across many, often fundamentally dissimilar, sources. But when does adding more data help, and when does it hinder progress on desired model outcomes in real-world settings? We identify this situation as the \textit{Data...
[ { "created": "Thu, 8 Aug 2024 01:42:31 GMT", "version": "v1" } ]
2024-08-09
[ [ "Shen", "Judy Hanwen", "" ], [ "Raji", "Inioluwa Deborah", "" ], [ "Chen", "Irene Y.", "" ] ]
In many machine learning for healthcare tasks, standard datasets are constructed by amassing data across many, often fundamentally dissimilar, sources. But when does adding more data help, and when does it hinder progress on desired model outcomes in real-world settings? We identify this situation as the \textit{Data A...
2110.13704
Gabriel Hondet
Gabriel Hondet (DEDUCTEAM), Fr\'ed\'eric Blanqui (DEDUCTEAM)
Encoding of Predicate Subtyping with Proof Irrelevance in the $\lambda$$\Pi$-Calculus Modulo Theory
TYPES 2020 wasn't held in Turin as planned because of the COVID-19 outbreak. TYPES 2020 - 26th International Conference on Types for Proofs and Programs, Mar 2020, Turino, Italy
null
10.4230/LIPIcs.TYPES.2020.6
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The $\lambda$$\Pi$-calculus modulo theory is a logical framework in which various logics and type systems can be encoded, thus helping the cross-verification and interoperability of proof systems based on those logics and type systems. In this paper, we show how to encode predicate subtyping and proof irrelevance, tw...
[ { "created": "Tue, 26 Oct 2021 13:45:53 GMT", "version": "v1" } ]
2021-10-27
[ [ "Hondet", "Gabriel", "", "DEDUCTEAM" ], [ "Blanqui", "Frédéric", "", "DEDUCTEAM" ] ]
The $\lambda$$\Pi$-calculus modulo theory is a logical framework in which various logics and type systems can be encoded, thus helping the cross-verification and interoperability of proof systems based on those logics and type systems. In this paper, we show how to encode predicate subtyping and proof irrelevance, two ...
2305.14066
Lan Jiang
Lan Jiang, Haoyang Huang, Dongdong Zhang, Rui Jiang, Furu Wei
One-stop Training of Multiple Capacity Models
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Training models with varying capacities can be advantageous for deploying them in different scenarios. While high-capacity models offer better performance, low-capacity models require fewer computing resources for training and inference. In this work, we propose a novel one-stop training framework to jointly train hi...
[ { "created": "Tue, 23 May 2023 13:44:09 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 09:37:47 GMT", "version": "v2" } ]
2023-05-25
[ [ "Jiang", "Lan", "" ], [ "Huang", "Haoyang", "" ], [ "Zhang", "Dongdong", "" ], [ "Jiang", "Rui", "" ], [ "Wei", "Furu", "" ] ]
Training models with varying capacities can be advantageous for deploying them in different scenarios. While high-capacity models offer better performance, low-capacity models require fewer computing resources for training and inference. In this work, we propose a novel one-stop training framework to jointly train high...
2301.10056
Yan Long
Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin Butler, Sara Rampazzi, Kevin Fu
Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses
null
2023 IEEE Symposium on Security and Privacy
10.1109/SP46215.2023.00059
null
cs.CR cs.CV cs.MM cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Our research discovers how the rolling shutter and movable lens structures widely found in smartphone cameras modulate structure-borne sounds onto camera images, creating a point-of-view (POV) optical-acoustic side channel for acoustic eavesdropping. The movement of smartphone camera hardware leaks acoustic informati...
[ { "created": "Tue, 24 Jan 2023 15:00:47 GMT", "version": "v1" }, { "created": "Thu, 26 Jan 2023 20:11:27 GMT", "version": "v2" } ]
2023-09-13
[ [ "Long", "Yan", "" ], [ "Naghavi", "Pirouz", "" ], [ "Kojusner", "Blas", "" ], [ "Butler", "Kevin", "" ], [ "Rampazzi", "Sara", "" ], [ "Fu", "Kevin", "" ] ]
Our research discovers how the rolling shutter and movable lens structures widely found in smartphone cameras modulate structure-borne sounds onto camera images, creating a point-of-view (POV) optical-acoustic side channel for acoustic eavesdropping. The movement of smartphone camera hardware leaks acoustic information...
2211.05178
Binghui Peng
Binghui Peng and Aviad Rubinstein
Fully-dynamic-to-incremental reductions with known deletion order (e.g. sliding window)
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Dynamic algorithms come in three main flavors: $\mathit{incremental}$ (insertions-only), $\mathit{decremental}$ (deletions-only), or $\mathit{fully}$ $\mathit{dynamic}$ (both insertions and deletions). Fully dynamic is the holy grail of dynamic algorithm design; it is obviously more general than the other two, but is...
[ { "created": "Wed, 9 Nov 2022 20:12:37 GMT", "version": "v1" }, { "created": "Wed, 16 Nov 2022 19:01:30 GMT", "version": "v2" } ]
2022-11-18
[ [ "Peng", "Binghui", "" ], [ "Rubinstein", "Aviad", "" ] ]
Dynamic algorithms come in three main flavors: $\mathit{incremental}$ (insertions-only), $\mathit{decremental}$ (deletions-only), or $\mathit{fully}$ $\mathit{dynamic}$ (both insertions and deletions). Fully dynamic is the holy grail of dynamic algorithm design; it is obviously more general than the other two, but is i...
2110.08355
Derek Chen
Derek Chen, Zhou Yu, and Samuel R. Bowman
Clean or Annotate: How to Spend a Limited Data Collection Budget
17 pages, 3 figures, 6 tables. Accepted to NAACL 2022 workshop
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Crowdsourcing platforms are often used to collect datasets for training machine learning models, despite higher levels of inaccurate labeling compared to expert labeling. There are two common strategies to manage the impact of such noise. The first involves aggregating redundant annotations, but comes at the expense ...
[ { "created": "Fri, 15 Oct 2021 20:37:29 GMT", "version": "v1" }, { "created": "Sun, 12 Jun 2022 16:57:41 GMT", "version": "v2" } ]
2022-06-14
[ [ "Chen", "Derek", "" ], [ "Yu", "Zhou", "" ], [ "Bowman", "Samuel R.", "" ] ]
Crowdsourcing platforms are often used to collect datasets for training machine learning models, despite higher levels of inaccurate labeling compared to expert labeling. There are two common strategies to manage the impact of such noise. The first involves aggregating redundant annotations, but comes at the expense of...
1112.4264
Davide Bil\'o
Davide Bil\`o, Luciano Gual\`a, and Guido Proietti
Bounded-Distance Network Creation Games
17 pages, 2 figures
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A network creation game simulates a decentralized and non-cooperative building of a communication network. Informally, there are $n$ players sitting on the network nodes, which attempt to establish a reciprocal communication by activating, incurring a certain cost, any of their incident links. The goal of each player...
[ { "created": "Mon, 19 Dec 2011 08:30:51 GMT", "version": "v1" } ]
2011-12-20
[ [ "Bilò", "Davide", "" ], [ "Gualà", "Luciano", "" ], [ "Proietti", "Guido", "" ] ]
A network creation game simulates a decentralized and non-cooperative building of a communication network. Informally, there are $n$ players sitting on the network nodes, which attempt to establish a reciprocal communication by activating, incurring a certain cost, any of their incident links. The goal of each player i...
2311.08191
Andrey Bout
Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey Nikolenko, Irina Piontkovskaya
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding
ACL 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Grammatical error correction (GEC) is an important NLP task that is currently usually solved with autoregressive sequence-to-sequence models. However, approaches of this class are inherently slow due to one-by-one token generation, so non-autoregressive alternatives are needed. In this work, we propose a novel non-au...
[ { "created": "Tue, 14 Nov 2023 14:24:36 GMT", "version": "v1" } ]
2023-11-15
[ [ "Yakovlev", "Konstantin", "" ], [ "Podolskiy", "Alexander", "" ], [ "Bout", "Andrey", "" ], [ "Nikolenko", "Sergey", "" ], [ "Piontkovskaya", "Irina", "" ] ]
Grammatical error correction (GEC) is an important NLP task that is currently usually solved with autoregressive sequence-to-sequence models. However, approaches of this class are inherently slow due to one-by-one token generation, so non-autoregressive alternatives are needed. In this work, we propose a novel non-auto...
2302.06912
Roman Belaire
Roman Belaire, Pradeep Varakantham, Thanh Nguyen, David Lo
Regret-Based Defense in Adversarial Reinforcement Learning
Accepted at AAMAS 2024
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Deep Reinforcement Learning (DRL) policies have been shown to be vulnerable to small adversarial noise in observations. Such adversarial noise can have disastrous consequences in safety-critical environments. For instance, a self-driving car receiving adversarially perturbed sensory observations about nearby signs (e...
[ { "created": "Tue, 14 Feb 2023 08:56:50 GMT", "version": "v1" }, { "created": "Wed, 15 Feb 2023 02:21:17 GMT", "version": "v2" }, { "created": "Wed, 23 Aug 2023 07:27:20 GMT", "version": "v3" }, { "created": "Wed, 27 Mar 2024 06:57:30 GMT", "version": "v4" } ]
2024-03-28
[ [ "Belaire", "Roman", "" ], [ "Varakantham", "Pradeep", "" ], [ "Nguyen", "Thanh", "" ], [ "Lo", "David", "" ] ]
Deep Reinforcement Learning (DRL) policies have been shown to be vulnerable to small adversarial noise in observations. Such adversarial noise can have disastrous consequences in safety-critical environments. For instance, a self-driving car receiving adversarially perturbed sensory observations about nearby signs (e.g...
2210.03953
Chenze Shao
Chenze Shao and Yang Feng
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
NeurIPS 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-autoregressive translation (NAT) models are typically trained with the cross-entropy loss, which forces the model outputs to be aligned verbatim with the target sentence and will highly penalize small shifts in word positions. Latent alignment models relax the explicit alignment by marginalizing out all monotonic...
[ { "created": "Sat, 8 Oct 2022 07:44:28 GMT", "version": "v1" } ]
2022-10-11
[ [ "Shao", "Chenze", "" ], [ "Feng", "Yang", "" ] ]
Non-autoregressive translation (NAT) models are typically trained with the cross-entropy loss, which forces the model outputs to be aligned verbatim with the target sentence and will highly penalize small shifts in word positions. Latent alignment models relax the explicit alignment by marginalizing out all monotonic l...
1608.07115
David Weir
David Weir, Julie Weeds, Jeremy Reffin and Thomas Kober
Aligning Packed Dependency Trees: a theory of composition for distributional semantics
To appear in Special issue of Computational Linguistics - Formal Distributional Semantics
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the com...
[ { "created": "Thu, 25 Aug 2016 12:44:05 GMT", "version": "v1" } ]
2016-08-26
[ [ "Weir", "David", "" ], [ "Weeds", "Julie", "" ], [ "Reffin", "Jeremy", "" ], [ "Kober", "Thomas", "" ] ]
We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the compo...
2304.14607
Dhinakaran D
Dhinakaran D, Joe Prathap P.M
A Brief Study of Privacy-Preserving Practices (PPP) in Data Mining
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Data mining is the way toward mining fascinating patterns or information from an enormous level of the database. Data mining additionally opens another risk to privacy and data security.One of the maximum significant themes in the research fieldis privacy-preserving DM (PPDM). Along these lines, the investigation of ...
[ { "created": "Fri, 28 Apr 2023 03:24:17 GMT", "version": "v1" } ]
2023-05-01
[ [ "D", "Dhinakaran", "" ], [ "M", "Joe Prathap P.", "" ] ]
Data mining is the way toward mining fascinating patterns or information from an enormous level of the database. Data mining additionally opens another risk to privacy and data security.One of the maximum significant themes in the research fieldis privacy-preserving DM (PPDM). Along these lines, the investigation of en...
1805.08399
Rudresh Dwivedi
Rudresh Dwivedi, Somnath Dey, Mukul Anand Sharma, Apurv Goel
A fingerprint based crypto-biometric system for secure communication
29 single column pages, 8 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To ensure the secure transmission of data, cryptography is treated as the most effective solution. Cryptographic key is an important entity in this procedure. In general, randomly generated cryptographic key (of 256 bits) is difficult to remember. However, such a key needs to be stored in a protected place or transpo...
[ { "created": "Tue, 22 May 2018 05:22:24 GMT", "version": "v1" } ]
2018-05-23
[ [ "Dwivedi", "Rudresh", "" ], [ "Dey", "Somnath", "" ], [ "Sharma", "Mukul Anand", "" ], [ "Goel", "Apurv", "" ] ]
To ensure the secure transmission of data, cryptography is treated as the most effective solution. Cryptographic key is an important entity in this procedure. In general, randomly generated cryptographic key (of 256 bits) is difficult to remember. However, such a key needs to be stored in a protected place or transport...
2306.01931
Wenqian Cui Mr.
Wenqian Cui and Xiangling Fu and Shaohui Liu and Mingjun Gu and Xien Liu and Ji Wu and Irwin King
Simple Data Augmentation Techniques for Chinese Disease Normalization
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Disease name normalization is an important task in the medical domain. It classifies disease names written in various formats into standardized names, serving as a fundamental component in smart healthcare systems for various disease-related functions. Nevertheless, the most significant obstacle to existing disease n...
[ { "created": "Fri, 2 Jun 2023 22:12:05 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2024 03:33:32 GMT", "version": "v2" }, { "created": "Thu, 13 Jun 2024 07:06:52 GMT", "version": "v3" } ]
2024-06-14
[ [ "Cui", "Wenqian", "" ], [ "Fu", "Xiangling", "" ], [ "Liu", "Shaohui", "" ], [ "Gu", "Mingjun", "" ], [ "Liu", "Xien", "" ], [ "Wu", "Ji", "" ], [ "King", "Irwin", "" ] ]
Disease name normalization is an important task in the medical domain. It classifies disease names written in various formats into standardized names, serving as a fundamental component in smart healthcare systems for various disease-related functions. Nevertheless, the most significant obstacle to existing disease nam...
2310.07648
Eleonora Lopez
Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci, and Danilo Comminiello
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals
Published at IEEE ICASSP workshops 2023
null
null
null
cs.HC cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
Multimodal emotion recognition from physiological signals is receiving an increasing amount of attention due to the impossibility to control them at will unlike behavioral reactions, thus providing more reliable information. Existing deep learning-based methods still rely on extracted handcrafted features, not taking...
[ { "created": "Wed, 11 Oct 2023 16:45:44 GMT", "version": "v1" } ]
2023-10-12
[ [ "Lopez", "Eleonora", "" ], [ "Chiarantano", "Eleonora", "" ], [ "Grassucci", "Eleonora", "" ], [ "Comminiello", "Danilo", "" ] ]
Multimodal emotion recognition from physiological signals is receiving an increasing amount of attention due to the impossibility to control them at will unlike behavioral reactions, thus providing more reliable information. Existing deep learning-based methods still rely on extracted handcrafted features, not taking f...
1703.02019
Gourav Ganesh Shenoy
Gourav G. Shenoy, Erika H. Dsouza, Sandra K\"ubler
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques
8 pages, 9 figures, 5 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As humans, we can often detect from a persons utterances if he or she is in favor of or against a given target entity (topic, product, another person, etc). But from the perspective of a computer, we need means to automatically deduce the stance of the tweeter, given just the tweet text. In this paper, we present our...
[ { "created": "Mon, 6 Mar 2017 18:44:49 GMT", "version": "v1" } ]
2017-03-07
[ [ "Shenoy", "Gourav G.", "" ], [ "Dsouza", "Erika H.", "" ], [ "Kübler", "Sandra", "" ] ]
As humans, we can often detect from a persons utterances if he or she is in favor of or against a given target entity (topic, product, another person, etc). But from the perspective of a computer, we need means to automatically deduce the stance of the tweeter, given just the tweet text. In this paper, we present our r...
1807.07247
Dwarikanath Mahapatra
Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The widely used ChestX-ray14 dataset addresses an important medical image classification problem and has the following caveats: 1) many lung pathologies are visually similar, 2) a variant of diseases including lung cancer, tuberculosis, and pneumonia are present in a single scan, i.e. multiple labels and 3) The incid...
[ { "created": "Thu, 19 Jul 2018 06:02:54 GMT", "version": "v1" }, { "created": "Sat, 21 Jul 2018 12:47:43 GMT", "version": "v2" }, { "created": "Tue, 24 Jul 2018 22:15:49 GMT", "version": "v3" } ]
2018-07-26
[ [ "Ge", "Zongyuan", "" ], [ "Mahapatra", "Dwarikanath", "" ], [ "Sedai", "Suman", "" ], [ "Garnavi", "Rahil", "" ], [ "Chakravorty", "Rajib", "" ] ]
The widely used ChestX-ray14 dataset addresses an important medical image classification problem and has the following caveats: 1) many lung pathologies are visually similar, 2) a variant of diseases including lung cancer, tuberculosis, and pneumonia are present in a single scan, i.e. multiple labels and 3) The inciden...
1906.09458
Fabio Vitale
Fabio Vitale, Anand Rajagopalan, Claudio Gentile
Flattening a Hierarchical Clustering through Active Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate active learning by pairwise similarity over the leaves of trees originating from hierarchical clustering procedures. In the realizable setting, we provide a full characterization of the number of queries needed to achieve perfect reconstruction of the tree cut. In the non-realizable setting, we rely on...
[ { "created": "Sat, 22 Jun 2019 15:03:11 GMT", "version": "v1" }, { "created": "Sat, 12 Oct 2019 15:41:39 GMT", "version": "v2" } ]
2019-10-15
[ [ "Vitale", "Fabio", "" ], [ "Rajagopalan", "Anand", "" ], [ "Gentile", "Claudio", "" ] ]
We investigate active learning by pairwise similarity over the leaves of trees originating from hierarchical clustering procedures. In the realizable setting, we provide a full characterization of the number of queries needed to achieve perfect reconstruction of the tree cut. In the non-realizable setting, we rely on k...
1812.07208
Siddharth Dawar
Siddharth Dawar, Debajyoti Bera, Vikram Goyal
High-utility itemset mining for subadditive monotone utility functions
Pre-print of our paper
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
High-utility Itemset Mining (HUIM) finds itemsets from a transaction database with utility no less than a user-defined threshold where the utility of an itemset is defined as the sum of the item-wise utilities. In this paper, we generalize this notion to utility functions that need not be a simple sum of individual u...
[ { "created": "Tue, 18 Dec 2018 07:26:15 GMT", "version": "v1" }, { "created": "Sun, 10 May 2020 06:05:54 GMT", "version": "v2" } ]
2020-05-12
[ [ "Dawar", "Siddharth", "" ], [ "Bera", "Debajyoti", "" ], [ "Goyal", "Vikram", "" ] ]
High-utility Itemset Mining (HUIM) finds itemsets from a transaction database with utility no less than a user-defined threshold where the utility of an itemset is defined as the sum of the item-wise utilities. In this paper, we generalize this notion to utility functions that need not be a simple sum of individual uti...
1603.09490
Andrea Araldo
Andrea Araldo, Gyorgy Dan, Dario Rossi
Stochastic Dynamic Cache Partitioning for Encrypted Content Delivery
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In-network caching is an appealing solution to cope with the increasing bandwidth demand of video, audio and data transfer over the Internet. Nonetheless, an increasing share of content delivery services adopt encryption through HTTPS, which is not compatible with traditional ISP-managed approaches like transparent a...
[ { "created": "Thu, 31 Mar 2016 08:47:46 GMT", "version": "v1" }, { "created": "Mon, 27 Jun 2016 12:41:04 GMT", "version": "v2" } ]
2016-06-28
[ [ "Araldo", "Andrea", "" ], [ "Dan", "Gyorgy", "" ], [ "Rossi", "Dario", "" ] ]
In-network caching is an appealing solution to cope with the increasing bandwidth demand of video, audio and data transfer over the Internet. Nonetheless, an increasing share of content delivery services adopt encryption through HTTPS, which is not compatible with traditional ISP-managed approaches like transparent and...
1907.03950
Drew A. Hudson
Drew A. Hudson and Christopher D. Manning
Learning by Abstraction: The Neural State Machine
Published as a conference paper at NeurIPS 2019 (spotlight)
null
null
null
cs.AI cs.CL cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the Neural State Machine, seeking to bridge the gap between the neural and symbolic views of AI and integrate their complementary strengths for the task of visual reasoning. Given an image, we first predict a probabilistic graph that represents its underlying semantics and serves as a structured world mo...
[ { "created": "Tue, 9 Jul 2019 03:08:41 GMT", "version": "v1" }, { "created": "Thu, 11 Jul 2019 17:14:03 GMT", "version": "v2" }, { "created": "Mon, 15 Jul 2019 09:33:51 GMT", "version": "v3" }, { "created": "Mon, 25 Nov 2019 10:02:05 GMT", "version": "v4" } ]
2019-11-26
[ [ "Hudson", "Drew A.", "" ], [ "Manning", "Christopher D.", "" ] ]
We introduce the Neural State Machine, seeking to bridge the gap between the neural and symbolic views of AI and integrate their complementary strengths for the task of visual reasoning. Given an image, we first predict a probabilistic graph that represents its underlying semantics and serves as a structured world mode...
1707.08704
Rodrigo de Salvo Braz
Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion, Rodrigo de Salvo Braz
Anytime Exact Belief Propagation
Submission to StaRAI-17 workshop at UAI-17 conference
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Statistical Relational Models and, more recently, Probabilistic Programming, have been making strides towards an integration of logic and probabilistic reasoning. A natural expectation for this project is that a probabilistic logic reasoning algorithm reduces to a logic reasoning algorithm when provided a model that ...
[ { "created": "Thu, 27 Jul 2017 04:31:34 GMT", "version": "v1" } ]
2017-07-28
[ [ "Ferreira", "Gabriel Azevedo", "" ], [ "Bertrand", "Quentin", "" ], [ "Maussion", "Charles", "" ], [ "Braz", "Rodrigo de Salvo", "" ] ]
Statistical Relational Models and, more recently, Probabilistic Programming, have been making strides towards an integration of logic and probabilistic reasoning. A natural expectation for this project is that a probabilistic logic reasoning algorithm reduces to a logic reasoning algorithm when provided a model that on...
2007.05307
Yushan Liu
Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification
Accepted at ECAI 2020 (24th European Conference on Artificial Intelligence)
null
null
null
cs.LG cs.CV eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diagnosing diseases such as leukemia or anemia requires reliable counts of blood cells. Hematologists usually label and count microscopy images of blood cells manually. In many cases, however, cells in different maturity states are difficult to distinguish, and in combination with image noise and subjectivity, humans...
[ { "created": "Fri, 10 Jul 2020 11:13:13 GMT", "version": "v1" } ]
2020-07-13
[ [ "Liu", "Yushan", "" ], [ "Geipel", "Markus M.", "" ], [ "Tietz", "Christoph", "" ], [ "Buettner", "Florian", "" ] ]
Diagnosing diseases such as leukemia or anemia requires reliable counts of blood cells. Hematologists usually label and count microscopy images of blood cells manually. In many cases, however, cells in different maturity states are difficult to distinguish, and in combination with image noise and subjectivity, humans a...
2107.12093
Constantinos Loukas
C. Loukas, A. Gazis, D. Schizas
A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
6 pages, 5 tables, 2 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
An important task at the onset of a laparoscopic cholecystectomy (LC) operation is the inspection of gallbladder (GB) to evaluate the thickness of its wall, presence of inflammation and extent of fat. Difficulty in visualization of the GB wall vessels may be due to the previous factors, potentially as a result of chr...
[ { "created": "Mon, 26 Jul 2021 10:22:16 GMT", "version": "v1" }, { "created": "Wed, 28 Jul 2021 07:23:29 GMT", "version": "v2" } ]
2021-07-29
[ [ "Loukas", "C.", "" ], [ "Gazis", "A.", "" ], [ "Schizas", "D.", "" ] ]
An important task at the onset of a laparoscopic cholecystectomy (LC) operation is the inspection of gallbladder (GB) to evaluate the thickness of its wall, presence of inflammation and extent of fat. Difficulty in visualization of the GB wall vessels may be due to the previous factors, potentially as a result of chron...
1911.05483
Mohamed Elhag Mohamed Abo
Mohamed Elhag M. Abo, Ram Gopal Raj, Atika Qazi, Abubakar Zakari
Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study
34 pages, 10 figures, Articles, 11 tables
null
null
null
cs.SI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the expansion in tenders on the Internet and social media, Arabic Sentiment Analysis (ASA) has assumed a significant position in the field of text mining study and has since remained used to explore the sentiments of users about services, various products or topics conversed over the Internet. This mapping paper...
[ { "created": "Sat, 26 Oct 2019 08:38:19 GMT", "version": "v1" } ]
2019-11-14
[ [ "Abo", "Mohamed Elhag M.", "" ], [ "Raj", "Ram Gopal", "" ], [ "Qazi", "Atika", "" ], [ "Zakari", "Abubakar", "" ] ]
With the expansion in tenders on the Internet and social media, Arabic Sentiment Analysis (ASA) has assumed a significant position in the field of text mining study and has since remained used to explore the sentiments of users about services, various products or topics conversed over the Internet. This mapping paper d...
1407.7405
Qi Chen
Qi Chen and Raymond W. Yeung
Partition-Symmetrical Entropy Functions
This paper is published in IEEE Transactions on Information Theory
Issue Date: OCTOBER.2016 Volume: 62 Issue: 10 On page(s): 1-18 Print ISSN: 0018-9448 Online ISSN: 1557-9654
10.1109/TIT.2016.2600580
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $\cal{N}=\{1,\cdots,n\}$. The entropy function $\bf h$ of a set of $n$ discrete random variables $\{X_i:i\in\cal N\}$ is a $2^n$-dimensional vector whose entries are ${\bf{h}}({\cal{A}})\triangleq H(X_{\cal{A}}),\cal{A}\subset{\cal N} $, the (joint) entropies of the subsets of the set of $n$ random variables with...
[ { "created": "Mon, 28 Jul 2014 13:16:08 GMT", "version": "v1" }, { "created": "Wed, 28 Sep 2016 06:06:47 GMT", "version": "v2" } ]
2016-09-29
[ [ "Chen", "Qi", "" ], [ "Yeung", "Raymond W.", "" ] ]
Let $\cal{N}=\{1,\cdots,n\}$. The entropy function $\bf h$ of a set of $n$ discrete random variables $\{X_i:i\in\cal N\}$ is a $2^n$-dimensional vector whose entries are ${\bf{h}}({\cal{A}})\triangleq H(X_{\cal{A}}),\cal{A}\subset{\cal N} $, the (joint) entropies of the subsets of the set of $n$ random variables with $...
0908.2141
Yucel Altug
Yucel Altug and Aaron B. Wagner
Source and Channel Simulation Using Arbitrary Randomness
26 pages, 2 figures, submitted to IEEE Trans. on Information Theory. A shorter version will be presented at 2009 Allerton Conference on Communication, Control, and Computing
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Necessary and sufficient conditions for approximation of a general channel by a general source are proved. For the special case in which the channel input is deterministic, which corresponds to source simulation, we prove a stronger necessary condition. As the approximation criteria, vanishing variational distance be...
[ { "created": "Fri, 14 Aug 2009 21:14:10 GMT", "version": "v1" } ]
2009-08-18
[ [ "Altug", "Yucel", "" ], [ "Wagner", "Aaron B.", "" ] ]
Necessary and sufficient conditions for approximation of a general channel by a general source are proved. For the special case in which the channel input is deterministic, which corresponds to source simulation, we prove a stronger necessary condition. As the approximation criteria, vanishing variational distance betw...
2312.03495
Celine Swennenhuis
Jesper Nederlof and C\'eline M. F. Swennenhuis and Karol W\k{e}grzycki
A Subexponential Time Algorithm for Makespan Scheduling of Unit Jobs with Precedence Constraints
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a classical scheduling problem, we are given a set of $n$ jobs of unit length along with precedence constraints, and the goal is to find a schedule of these jobs on $m$ identical machines that minimizes the makespan. Using the standard 3-field notation, it is known as $Pm|\text{prec}, p_j=1|C_{\max}$. Settling the...
[ { "created": "Wed, 6 Dec 2023 13:37:59 GMT", "version": "v1" } ]
2023-12-07
[ [ "Nederlof", "Jesper", "" ], [ "Swennenhuis", "Céline M. F.", "" ], [ "Węgrzycki", "Karol", "" ] ]
In a classical scheduling problem, we are given a set of $n$ jobs of unit length along with precedence constraints, and the goal is to find a schedule of these jobs on $m$ identical machines that minimizes the makespan. Using the standard 3-field notation, it is known as $Pm|\text{prec}, p_j=1|C_{\max}$. Settling the c...
1307.7138
Eirina Bourtsoulatze
Eirina Bourtsoulatze, Nikolaos Thomos and Pascal Frossard
Reconstruction of Network Coded Sources From Incomplete Datasets
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the problem of recovering source information from an incomplete set of network coded data. We first study the theoretical performance of such systems under maximum a posteriori (MAP) decoding and derive the upper bound on the probability of decoding error as a function of the system para...
[ { "created": "Fri, 26 Jul 2013 19:53:44 GMT", "version": "v1" }, { "created": "Mon, 21 Apr 2014 12:11:33 GMT", "version": "v2" }, { "created": "Fri, 13 Mar 2015 17:03:17 GMT", "version": "v3" } ]
2015-03-16
[ [ "Bourtsoulatze", "Eirina", "" ], [ "Thomos", "Nikolaos", "" ], [ "Frossard", "Pascal", "" ] ]
In this paper, we investigate the problem of recovering source information from an incomplete set of network coded data. We first study the theoretical performance of such systems under maximum a posteriori (MAP) decoding and derive the upper bound on the probability of decoding error as a function of the system parame...
1710.06192
Zihuan Wang
Zihuan Wang, Ming Li, Qian Liu, A. Lee Swindlehurst
Hybrid Precoder and Combiner Design with Low Resolution Phase Shifters in mmWave MIMO Systems
null
null
10.1109/JSTSP.2018.2819129
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy efficient analog/digial hybrid precoding and combining...
[ { "created": "Tue, 17 Oct 2017 10:13:42 GMT", "version": "v1" } ]
2018-07-04
[ [ "Wang", "Zihuan", "" ], [ "Li", "Ming", "" ], [ "Liu", "Qian", "" ], [ "Swindlehurst", "A. Lee", "" ] ]
Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy efficient analog/digial hybrid precoding and combining t...
cs/0610072
Frederic Blanqui
Fr\'ed\'eric Blanqui (INRIA Lorraine - LORIA, LIX)
Definitions by rewriting in the Calculus of Constructions
Journal version of LICS'01
Mathematical Structures in Computer Science 15, 1 (2005) 37-92
10.1017/S0960129504004426
Journal version of LICS'01
cs.LO
null
This paper presents general syntactic conditions ensuring the strong normalization and the logical consistency of the Calculus of Algebraic Constructions, an extension of the Calculus of Constructions with functions and predicates defined by higher-order rewrite rules. On the one hand, the Calculus of Constructions i...
[ { "created": "Thu, 12 Oct 2006 11:47:54 GMT", "version": "v1" } ]
2016-08-16
[ [ "Blanqui", "Frédéric", "", "INRIA Lorraine - LORIA, LIX" ] ]
This paper presents general syntactic conditions ensuring the strong normalization and the logical consistency of the Calculus of Algebraic Constructions, an extension of the Calculus of Constructions with functions and predicates defined by higher-order rewrite rules. On the one hand, the Calculus of Constructions is ...
1812.04346
Raad Bin Tareaf
Raad Bin Tareaf, Philipp Berger, Patrick Hennig and Christoph Meinel
Towards Automatic Personality Prediction Using Facebook Like Categories
14 pages, 6 figures, conference
null
null
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We demonstrate that effortlessly accessible digital records of behavior such as Facebook Likes can be obtained and utilized to automatically distinguish a wide range of highly delicate personal traits including: life satisfaction, cultural ethnicity, political views, age, gender and personality traits. The analysis p...
[ { "created": "Tue, 11 Dec 2018 12:10:58 GMT", "version": "v1" } ]
2018-12-12
[ [ "Tareaf", "Raad Bin", "" ], [ "Berger", "Philipp", "" ], [ "Hennig", "Patrick", "" ], [ "Meinel", "Christoph", "" ] ]
We demonstrate that effortlessly accessible digital records of behavior such as Facebook Likes can be obtained and utilized to automatically distinguish a wide range of highly delicate personal traits including: life satisfaction, cultural ethnicity, political views, age, gender and personality traits. The analysis pre...
2201.00542
EPTCS
Richard Schmoetten (Artificial Intelligence and its Applications Institute. School of Informatics, University of Edinburgh, United Kingdom), Jake Palmer (Artificial Intelligence and its Applications Institute. School of Informatics, University of Edinburgh, United Kingdom), Jacques Fleuriot (Artificial Intellig...
Formalising Geometric Axioms for Minkowski Spacetime and Without-Loss-of-Generality Theorems
In Proceedings ADG 2021, arXiv:2112.14770
EPTCS 352, 2021, pp. 116-128
10.4204/EPTCS.352.13
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This contribution reports on the continued formalisation of an axiomatic system for Minkowski spacetime (as used in the study of Special Relativity) which is closer in spirit to Hilbert's axiomatic approach to Euclidean geometry than to the vector space approach employed by Minkowski. We present a brief overview of t...
[ { "created": "Mon, 3 Jan 2022 09:27:06 GMT", "version": "v1" } ]
2022-01-04
[ [ "Schmoetten", "Richard", "", "Artificial Intelligence and its Applications\n Institute. School of Informatics, University of Edinburgh, United Kingdom" ], [ "Palmer", "Jake", "", "Artificial Intelligence and its Applications Institute. School\n of Informatics, University of E...
This contribution reports on the continued formalisation of an axiomatic system for Minkowski spacetime (as used in the study of Special Relativity) which is closer in spirit to Hilbert's axiomatic approach to Euclidean geometry than to the vector space approach employed by Minkowski. We present a brief overview of the...
1303.2564
Vadim E. Levit
Vadim E. Levit and Eugen Mandrescu
On f-Symmetries of the Independence Polynomial
10 pages
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An independent set in a graph is a set of pairwise non-adjacent vertices, and a(G) is the size of a maximum independent set in the graph G. If s_{k} is the number of independent sets of cardinality k in G, then I(G;x)=s_0+s_1*x+s_2*x^2+...+s_a*x^a,a=a(G), is called the independence polynomial of G (I. Gutman and F. H...
[ { "created": "Mon, 11 Mar 2013 16:15:07 GMT", "version": "v1" } ]
2013-03-12
[ [ "Levit", "Vadim E.", "" ], [ "Mandrescu", "Eugen", "" ] ]
An independent set in a graph is a set of pairwise non-adjacent vertices, and a(G) is the size of a maximum independent set in the graph G. If s_{k} is the number of independent sets of cardinality k in G, then I(G;x)=s_0+s_1*x+s_2*x^2+...+s_a*x^a,a=a(G), is called the independence polynomial of G (I. Gutman and F. Har...
1804.03820
Ivan De Oliveira Nunes
Ivan O. Nunes and Gene Tsudik
KRB-CCN: Lightweight Authentication & Access Control for Private Content-Centric Networks
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Content-Centric Networking (CCN) is an internetworking paradigm that offers an alternative to today's IP-based Internet Architecture. Instead of focusing on hosts and their locations, CCN emphasizes addressable named content. By decoupling content from its location, CCN allows opportunistic in-network content caching...
[ { "created": "Wed, 11 Apr 2018 05:49:58 GMT", "version": "v1" } ]
2018-04-12
[ [ "Nunes", "Ivan O.", "" ], [ "Tsudik", "Gene", "" ] ]
Content-Centric Networking (CCN) is an internetworking paradigm that offers an alternative to today's IP-based Internet Architecture. Instead of focusing on hosts and their locations, CCN emphasizes addressable named content. By decoupling content from its location, CCN allows opportunistic in-network content caching, ...
1910.08216
Emma Frejinger
Emma Frejinger, Eric Larsen
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is devoted to the prediction of solutions to a stochastic discrete optimization problem. Through an application, we illustrate how we can use a state-of-the-art neural machine translation (NMT) algorithm to predict the solutions by defining appropriate vocabularies, syntaxes and constraints. We attend to a...
[ { "created": "Fri, 18 Oct 2019 01:16:30 GMT", "version": "v1" } ]
2019-10-21
[ [ "Frejinger", "Emma", "" ], [ "Larsen", "Eric", "" ] ]
This paper is devoted to the prediction of solutions to a stochastic discrete optimization problem. Through an application, we illustrate how we can use a state-of-the-art neural machine translation (NMT) algorithm to predict the solutions by defining appropriate vocabularies, syntaxes and constraints. We attend to app...
1805.02861
Anton\'in Ku\v{c}era
Tom\'a\v{s} Br\'azdil, Anton\'in Ku\v{c}era, Vojt\v{e}ch \v{R}eh\'ak
Synthesizing Efficient Solutions for Patrolling Problems in the Internet Environment
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
We propose an algorithm for constructing efficient patrolling strategies in the Internet environment, where the protected targets are nodes connected to the network and the patrollers are software agents capable of detecting/preventing undesirable activities on the nodes. The algorithm is based on a novel composition...
[ { "created": "Tue, 8 May 2018 07:15:53 GMT", "version": "v1" }, { "created": "Thu, 10 May 2018 10:22:58 GMT", "version": "v2" } ]
2018-05-11
[ [ "Brázdil", "Tomáš", "" ], [ "Kučera", "Antonín", "" ], [ "Řehák", "Vojtěch", "" ] ]
We propose an algorithm for constructing efficient patrolling strategies in the Internet environment, where the protected targets are nodes connected to the network and the patrollers are software agents capable of detecting/preventing undesirable activities on the nodes. The algorithm is based on a novel compositional...
2306.06892
Aravind Krishnan
Aravind Krishnan, Jesujoba Alabi, Dietrich Klakow
On the N-gram Approximation of Pre-trained Language Models
Accepted at Interspeech 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large pre-trained language models (PLMs) have shown remarkable performance across various natural language understanding (NLU) tasks, particularly in low-resource settings. Nevertheless, their potential in Automatic Speech Recognition (ASR) remains largely unexplored. This study investigates the potential usage of PL...
[ { "created": "Mon, 12 Jun 2023 06:42:08 GMT", "version": "v1" } ]
2023-06-13
[ [ "Krishnan", "Aravind", "" ], [ "Alabi", "Jesujoba", "" ], [ "Klakow", "Dietrich", "" ] ]
Large pre-trained language models (PLMs) have shown remarkable performance across various natural language understanding (NLU) tasks, particularly in low-resource settings. Nevertheless, their potential in Automatic Speech Recognition (ASR) remains largely unexplored. This study investigates the potential usage of PLMs...
2102.08154
Ryo Masumura
Ryo Masumura, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Takanori Ashihara
End-to-End Automatic Speech Recognition with Deep Mutual Learning
Accepted at Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, pp.632-637
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is the first study to apply deep mutual learning (DML) to end-to-end ASR models. In DML, multiple models are trained simultaneously and collaboratively by mimicking each other throughout the training process, which helps to attain the global optimum and prevent models from making over-confident predictions...
[ { "created": "Tue, 16 Feb 2021 13:52:06 GMT", "version": "v1" } ]
2021-02-17
[ [ "Masumura", "Ryo", "" ], [ "Ihori", "Mana", "" ], [ "Takashima", "Akihiko", "" ], [ "Tanaka", "Tomohiro", "" ], [ "Ashihara", "Takanori", "" ] ]
This paper is the first study to apply deep mutual learning (DML) to end-to-end ASR models. In DML, multiple models are trained simultaneously and collaboratively by mimicking each other throughout the training process, which helps to attain the global optimum and prevent models from making over-confident predictions. ...
2311.14656
Jonathan Roberts
Jonathan Roberts, Timo L\"uddecke, Rehan Sheikh, Kai Han, Samuel Albanie
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
V3: Fixed typo in Fig.1; V2: Minor formatting changes and added missing subfigure captions
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal large language models (MLLMs) have shown remarkable capabilities across a broad range of tasks but their knowledge and abilities in the geographic and geospatial domains are yet to be explored, despite potential wide-ranging benefits to navigation, environmental research, urban development, and disaster re...
[ { "created": "Fri, 24 Nov 2023 18:46:02 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 18:56:42 GMT", "version": "v2" }, { "created": "Tue, 16 Jan 2024 18:20:08 GMT", "version": "v3" } ]
2024-01-17
[ [ "Roberts", "Jonathan", "" ], [ "Lüddecke", "Timo", "" ], [ "Sheikh", "Rehan", "" ], [ "Han", "Kai", "" ], [ "Albanie", "Samuel", "" ] ]
Multimodal large language models (MLLMs) have shown remarkable capabilities across a broad range of tasks but their knowledge and abilities in the geographic and geospatial domains are yet to be explored, despite potential wide-ranging benefits to navigation, environmental research, urban development, and disaster resp...
0912.0965
Adam Smith
Venkatesan Guruswami and Adam Smith
Explicit Capacity-achieving Codes for Worst-Case Additive Errors
This preprint has been withdrawn since it is superseded by arXiv:1004.4017 [cs.IT] (same authors), which contains significantly more general results. This preprint will no longer be updated by the authors.
null
null
null
cs.IT cs.CC math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For every p in (0,1/2), we give an explicit construction of binary codes of rate approaching "capacity" 1-H(p) that enable reliable communication in the presence of worst-case additive errors}, caused by a channel oblivious to the codeword (but not necessarily the message). Formally, we give an efficient "stochastic"...
[ { "created": "Sat, 5 Dec 2009 00:31:48 GMT", "version": "v1" }, { "created": "Sat, 1 May 2010 03:04:23 GMT", "version": "v2" } ]
2010-05-04
[ [ "Guruswami", "Venkatesan", "" ], [ "Smith", "Adam", "" ] ]
For every p in (0,1/2), we give an explicit construction of binary codes of rate approaching "capacity" 1-H(p) that enable reliable communication in the presence of worst-case additive errors}, caused by a channel oblivious to the codeword (but not necessarily the message). Formally, we give an efficient "stochastic" e...
2005.10090
Pablo Blanco-Medina
Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez, Francisco J\'a\~nez Martino and Pablo Blanco Medina
Perceptual Hashing applied to Tor domains recognition
To be published on the JNIC 2020 Conference. Already published research summary
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Tor darknet hosts different types of illegal content, which are monitored by cybersecurity agencies. However, manually classifying Tor content can be slow and error-prone. To support this task, we introduce Frequency-Dominant Neighborhood Structure (F-DNS), a new perceptual hashing method for automatically classi...
[ { "created": "Wed, 20 May 2020 14:53:36 GMT", "version": "v1" }, { "created": "Thu, 21 May 2020 15:35:25 GMT", "version": "v2" } ]
2020-05-22
[ [ "Biswas", "Rubel", "" ], [ "Vasco-Carofilis", "Roberto A.", "" ], [ "Fernandez", "Eduardo Fidalgo", "" ], [ "Martino", "Francisco Jáñez", "" ], [ "Medina", "Pablo Blanco", "" ] ]
The Tor darknet hosts different types of illegal content, which are monitored by cybersecurity agencies. However, manually classifying Tor content can be slow and error-prone. To support this task, we introduce Frequency-Dominant Neighborhood Structure (F-DNS), a new perceptual hashing method for automatically classify...
1501.00539
Amos Lapidoth
Christoph Bunte and Amos Lapidoth
Maximum R\'enyi Entropy Rate
Submitted to the IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Two maximization problems of R\'enyi entropy rate are investigated: the maximization over all stochastic processes whose marginals satisfy a linear constraint, and the Burg-like maximization over all stochastic processes whose autocovariance function begins with some given values. The solutions are related to the sol...
[ { "created": "Sat, 3 Jan 2015 07:38:17 GMT", "version": "v1" } ]
2015-01-06
[ [ "Bunte", "Christoph", "" ], [ "Lapidoth", "Amos", "" ] ]
Two maximization problems of R\'enyi entropy rate are investigated: the maximization over all stochastic processes whose marginals satisfy a linear constraint, and the Burg-like maximization over all stochastic processes whose autocovariance function begins with some given values. The solutions are related to the solut...
2012.02721
Amith Ananthram
Amith Ananthram, Emily Allaway, Kathleen McKeown
Event Guided Denoising for Multilingual Relation Learning
COLING2020, short paper
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
General purpose relation extraction has recently seen considerable gains in part due to a massively data-intensive distant supervision technique from Soares et al. (2019) that produces state-of-the-art results across many benchmarks. In this work, we present a methodology for collecting high quality training data for...
[ { "created": "Fri, 4 Dec 2020 17:11:04 GMT", "version": "v1" } ]
2020-12-07
[ [ "Ananthram", "Amith", "" ], [ "Allaway", "Emily", "" ], [ "McKeown", "Kathleen", "" ] ]
General purpose relation extraction has recently seen considerable gains in part due to a massively data-intensive distant supervision technique from Soares et al. (2019) that produces state-of-the-art results across many benchmarks. In this work, we present a methodology for collecting high quality training data for r...
2303.07547
Tae Eun Choe
Tae Eun Choe, Jane Wu, Xiaolin Lin, Karen Kwon, Minwoo Park
HazardNet: Road Debris Detection by Augmentation of Synthetic Models
11 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an algorithm to detect unseen road debris using a small set of synthetic models. Early detection of road debris is critical for safe autonomous or assisted driving, yet the development of a robust road debris detection model has not been widely discussed. There are two main challenges to building a road de...
[ { "created": "Tue, 14 Mar 2023 00:30:24 GMT", "version": "v1" } ]
2023-03-15
[ [ "Choe", "Tae Eun", "" ], [ "Wu", "Jane", "" ], [ "Lin", "Xiaolin", "" ], [ "Kwon", "Karen", "" ], [ "Park", "Minwoo", "" ] ]
We present an algorithm to detect unseen road debris using a small set of synthetic models. Early detection of road debris is critical for safe autonomous or assisted driving, yet the development of a robust road debris detection model has not been widely discussed. There are two main challenges to building a road debr...
1603.07737
Michael Hoffmann
Markus Geyer, Michael Hoffmann, Michael Kaufmann, Vincent Kusters, Csaba D. T\'oth
The Planar Tree Packing Theorem
Full version of our SoCG 2016 paper
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Packing graphs is a combinatorial problem where several given graphs are being mapped into a common host graph such that every edge is used at most once. In the planar tree packing problem we are given two trees T1 and T2 on n vertices and have to find a planar graph on n vertices that is the edge-disjoint union of T...
[ { "created": "Thu, 24 Mar 2016 20:08:38 GMT", "version": "v1" } ]
2016-03-28
[ [ "Geyer", "Markus", "" ], [ "Hoffmann", "Michael", "" ], [ "Kaufmann", "Michael", "" ], [ "Kusters", "Vincent", "" ], [ "Tóth", "Csaba D.", "" ] ]
Packing graphs is a combinatorial problem where several given graphs are being mapped into a common host graph such that every edge is used at most once. In the planar tree packing problem we are given two trees T1 and T2 on n vertices and have to find a planar graph on n vertices that is the edge-disjoint union of T1 ...
1710.00387
Tomohiko Mizutani
Tomohiko Mizutani and Mirai Tanaka
Efficient Preconditioning for Noisy Separable NMFs by Successive Projection Based Low-Rank Approximations
32 pages, 4 figures
Machine Learning, 107(4), pages 643-673, 2018
null
null
cs.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The successive projection algorithm (SPA) can quickly solve a nonnegative matrix factorization problem under a separability assumption. Even if noise is added to the problem, SPA is robust as long as the perturbations caused by the noise are small. In particular, robustness against noise should be high when handling ...
[ { "created": "Sun, 1 Oct 2017 18:20:57 GMT", "version": "v1" } ]
2018-05-11
[ [ "Mizutani", "Tomohiko", "" ], [ "Tanaka", "Mirai", "" ] ]
The successive projection algorithm (SPA) can quickly solve a nonnegative matrix factorization problem under a separability assumption. Even if noise is added to the problem, SPA is robust as long as the perturbations caused by the noise are small. In particular, robustness against noise should be high when handling th...
1901.11459
Fabrizio Sebastiani
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification
28 pages, 4 figures
Final version published in ACM Transactions on Information Systems 37(3), 37:1-37:30, 2019
null
null
cs.LG cs.AI cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-lingual Text Classification (CLC) consists of automatically classifying, according to a common set C of classes, documents each written in one of a set of languages L, and doing so more accurately than when naively classifying each document via its corresponding language-specific classifier. In order to obtain ...
[ { "created": "Thu, 31 Jan 2019 16:32:08 GMT", "version": "v1" }, { "created": "Tue, 16 Apr 2019 16:06:09 GMT", "version": "v2" } ]
2021-09-22
[ [ "Esuli", "Andrea", "" ], [ "Moreo", "Alejandro", "" ], [ "Sebastiani", "Fabrizio", "" ] ]
Cross-lingual Text Classification (CLC) consists of automatically classifying, according to a common set C of classes, documents each written in one of a set of languages L, and doing so more accurately than when naively classifying each document via its corresponding language-specific classifier. In order to obtain an...
1410.2217
Anurag Acharya
Anurag Acharya, Alex Verstak, Helder Suzuki, Sean Henderson, Mikhail Iakhiaev, Cliff Chiung Yu Lin, Namit Shetty
Rise of the Rest: The Growing Impact of Non-Elite Journals
null
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we examine the evolution of the impact of non-elite journals. We attempt to answer two questions. First, what fraction of the top-cited articles are published in non-elite journals and how has this changed over time. Second, what fraction of the total citations are to non-elite journals and how has thi...
[ { "created": "Wed, 8 Oct 2014 18:57:23 GMT", "version": "v1" } ]
2014-10-09
[ [ "Acharya", "Anurag", "" ], [ "Verstak", "Alex", "" ], [ "Suzuki", "Helder", "" ], [ "Henderson", "Sean", "" ], [ "Iakhiaev", "Mikhail", "" ], [ "Lin", "Cliff Chiung Yu", "" ], [ "Shetty", "Namit", "" ] ]
In this paper, we examine the evolution of the impact of non-elite journals. We attempt to answer two questions. First, what fraction of the top-cited articles are published in non-elite journals and how has this changed over time. Second, what fraction of the total citations are to non-elite journals and how has this ...
2206.10897
Atahan \"Ozer
Atahan Ozer, Kadir Burak Buldu, Abdullah Akg\"ul, Gozde Unal
How to Combine Variational Bayesian Networks in Federated Learning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Federated Learning enables multiple data centers to train a central model collaboratively without exposing any confidential data. Even though deterministic models are capable of performing high prediction accuracy, their lack of calibration and capability to quantify uncertainty is problematic for safety-critical app...
[ { "created": "Wed, 22 Jun 2022 07:53:12 GMT", "version": "v1" }, { "created": "Wed, 23 Nov 2022 09:41:33 GMT", "version": "v2" } ]
2022-11-24
[ [ "Ozer", "Atahan", "" ], [ "Buldu", "Kadir Burak", "" ], [ "Akgül", "Abdullah", "" ], [ "Unal", "Gozde", "" ] ]
Federated Learning enables multiple data centers to train a central model collaboratively without exposing any confidential data. Even though deterministic models are capable of performing high prediction accuracy, their lack of calibration and capability to quantify uncertainty is problematic for safety-critical appli...
2205.12853
Ge-Peng Ji
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger and Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection
Accepted by Machine Intelligence Research
Machine Intelligence Research. 20, 92-108 (2023)
10.1007/s11633-022-1365-9
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper introduces DGNet, a novel deep framework that exploits object gradient supervision for camouflaged object detection (COD). It decouples the task into two connected branches, i.e., a context and a texture encoder. The essential connection is the gradient-induced transition, representing a soft grouping betw...
[ { "created": "Wed, 25 May 2022 15:25:18 GMT", "version": "v1" }, { "created": "Mon, 8 Aug 2022 09:39:44 GMT", "version": "v2" } ]
2023-06-06
[ [ "Ji", "Ge-Peng", "" ], [ "Fan", "Deng-Ping", "" ], [ "Chou", "Yu-Cheng", "" ], [ "Dai", "Dengxin", "" ], [ "Liniger", "Alexander", "" ], [ "Van Gool", "Luc", "" ] ]
This paper introduces DGNet, a novel deep framework that exploits object gradient supervision for camouflaged object detection (COD). It decouples the task into two connected branches, i.e., a context and a texture encoder. The essential connection is the gradient-induced transition, representing a soft grouping betwee...
2103.07974
Cheng Luo
Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
null
null
null
null
cs.DC cs.AI
http://creativecommons.org/licenses/by/4.0/
Distributed deep learning workloads include throughput-intensive training tasks on the GPU clusters, where the Distributed Stochastic Gradient Descent (SGD) incurs significant communication delays after backward propagation, forces workers to wait for the gradient synchronization via a centralized parameter server or...
[ { "created": "Sun, 14 Mar 2021 17:01:15 GMT", "version": "v1" } ]
2021-03-16
[ [ "Luo", "Cheng", "" ], [ "Qu", "Lei", "" ], [ "Miao", "Youshan", "" ], [ "Cheng", "Peng", "" ], [ "Xiong", "Yongqiang", "" ] ]
Distributed deep learning workloads include throughput-intensive training tasks on the GPU clusters, where the Distributed Stochastic Gradient Descent (SGD) incurs significant communication delays after backward propagation, forces workers to wait for the gradient synchronization via a centralized parameter server or d...
2005.03487
Bo Huang
Bo Huang
Algorithmic Averaging for Studying Periodic Orbits of Planar Differential Systems
arXiv admin note: text overlap with arXiv:1905.03315
null
null
null
cs.SC math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the main open problems in the qualitative theory of real planar differential systems is the study of limit cycles. In this article, we present an algorithmic approach for detecting how many limit cycles can bifurcate from the periodic orbits of a given polynomial differential center when it is perturbed inside...
[ { "created": "Wed, 6 May 2020 07:12:36 GMT", "version": "v1" }, { "created": "Sun, 30 Apr 2023 16:23:01 GMT", "version": "v2" } ]
2023-05-02
[ [ "Huang", "Bo", "" ] ]
One of the main open problems in the qualitative theory of real planar differential systems is the study of limit cycles. In this article, we present an algorithmic approach for detecting how many limit cycles can bifurcate from the periodic orbits of a given polynomial differential center when it is perturbed inside a...
2407.02631
John Ortega
John E. Ortega and Ibrahim Said Ahmad and William Chen
Nollywood: Let's Go to the Movies!
8 pages, 4 figures, 2 tables
null
null
null
cs.CL cs.AI cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Nollywood, based on the idea of Bollywood from India, is a series of outstanding movies that originate from Nigeria. Unfortunately, while the movies are in English, they are hard to understand for many native speakers due to the dialect of English that is spoken. In this article, we accomplish two goals: (1) create a...
[ { "created": "Tue, 2 Jul 2024 19:50:55 GMT", "version": "v1" } ]
2024-07-04
[ [ "Ortega", "John E.", "" ], [ "Ahmad", "Ibrahim Said", "" ], [ "Chen", "William", "" ] ]
Nollywood, based on the idea of Bollywood from India, is a series of outstanding movies that originate from Nigeria. Unfortunately, while the movies are in English, they are hard to understand for many native speakers due to the dialect of English that is spoken. In this article, we accomplish two goals: (1) create a p...
2303.14446
Ralf Wimmer
Ralf Wimmer and Ming-Yi Hu
Using Unit Propagation with Universal Reduction in DQBF Preprocessing
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several effective preprocessing techniques for Boolean formulas with and without quantifiers use unit propagation to simplify the formula. Among these techniques are vivification, unit propagation look-ahead (UPLA), and the identification of redundant clauses as so-called quantified resolution asymmetric tautologies ...
[ { "created": "Sat, 25 Mar 2023 11:41:10 GMT", "version": "v1" } ]
2023-03-28
[ [ "Wimmer", "Ralf", "" ], [ "Hu", "Ming-Yi", "" ] ]
Several effective preprocessing techniques for Boolean formulas with and without quantifiers use unit propagation to simplify the formula. Among these techniques are vivification, unit propagation look-ahead (UPLA), and the identification of redundant clauses as so-called quantified resolution asymmetric tautologies (Q...
1508.04725
Du\v{s}an Knop
Du\v{s}an Knop
Partitioning graphs into induced subgraphs
14 pages, 4 figures
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Induced $H$ Partition problem from the parameterized complexity point of view. In the Induced $H$ Partition problem the task is to partition vertices of a graph $G$ into sets $V_1,V_2,\dots,V_n$ such that the graph $H$ is isomorphic to the subgraph of $G$ induced by each set $V_i$ for $i = 1,2,\dots,n.$ ...
[ { "created": "Wed, 19 Aug 2015 18:06:12 GMT", "version": "v1" }, { "created": "Thu, 10 Mar 2016 17:20:36 GMT", "version": "v2" } ]
2016-03-11
[ [ "Knop", "Dušan", "" ] ]
We study the Induced $H$ Partition problem from the parameterized complexity point of view. In the Induced $H$ Partition problem the task is to partition vertices of a graph $G$ into sets $V_1,V_2,\dots,V_n$ such that the graph $H$ is isomorphic to the subgraph of $G$ induced by each set $V_i$ for $i = 1,2,\dots,n.$ Th...
1908.08298
Nagendra Kumar
Nagendra Kumar, Yash Chandarana, K. Anand, and Manish Singh
Using Social Media for Word-of-Mouth Marketing
null
null
null
null
cs.SI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays online social networks are used extensively for personal and commercial purposes. This widespread popularity makes them an ideal platform for advertisements. Social media can be used for both direct and word-of-mouth (WoM) marketing. Although WoM marketing is considered more effective and it requires less ad...
[ { "created": "Thu, 22 Aug 2019 10:37:46 GMT", "version": "v1" } ]
2019-08-23
[ [ "Kumar", "Nagendra", "" ], [ "Chandarana", "Yash", "" ], [ "Anand", "K.", "" ], [ "Singh", "Manish", "" ] ]
Nowadays online social networks are used extensively for personal and commercial purposes. This widespread popularity makes them an ideal platform for advertisements. Social media can be used for both direct and word-of-mouth (WoM) marketing. Although WoM marketing is considered more effective and it requires less adve...
1802.09207
Stig Bosmans
Stig Bosmans, Siegfried Mercelis Peter Hellinckx and Joachim Denil
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increase in Internet of Things devices and more decentralized architectures we see a new type of application gain importance, a type where local interactions between individual entities lead to a global emergent behavior, Emergent-based IoT (EBI) Systems. In this position paper we explore techniques to evalu...
[ { "created": "Mon, 26 Feb 2018 09:05:08 GMT", "version": "v1" } ]
2018-02-27
[ [ "Bosmans", "Stig", "" ], [ "Hellinckx", "Siegfried Mercelis Peter", "" ], [ "Denil", "Joachim", "" ] ]
With the increase in Internet of Things devices and more decentralized architectures we see a new type of application gain importance, a type where local interactions between individual entities lead to a global emergent behavior, Emergent-based IoT (EBI) Systems. In this position paper we explore techniques to evaluat...
2305.06963
Firas Khader
Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whole-Slide Imaging allows for the capturing and digitization of high-resolution images of histological specimen. An automated analysis of such images using deep learning models is therefore of high demand. The transformer architecture has been proposed as a possible candidate for effectively leveraging the high-reso...
[ { "created": "Thu, 11 May 2023 16:42:24 GMT", "version": "v1" } ]
2023-05-12
[ [ "Khader", "Firas", "" ], [ "Kather", "Jakob Nikolas", "" ], [ "Han", "Tianyu", "" ], [ "Nebelung", "Sven", "" ], [ "Kuhl", "Christiane", "" ], [ "Stegmaier", "Johannes", "" ], [ "Truhn", "Daniel", "" ] ]
Whole-Slide Imaging allows for the capturing and digitization of high-resolution images of histological specimen. An automated analysis of such images using deep learning models is therefore of high demand. The transformer architecture has been proposed as a possible candidate for effectively leveraging the high-resolu...
2401.11188
Randall Balestriero
Randall Balestriero, Yann LeCun
Fast and Exact Enumeration of Deep Networks Partitions Regions
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
One fruitful formulation of Deep Networks (DNs) enabling their theoretical study and providing practical guidelines to practitioners relies on Piecewise Affine Splines. In that realm, a DN's input-mapping is expressed as per-region affine mapping where those regions are implicitly determined by the model's architectu...
[ { "created": "Sat, 20 Jan 2024 09:51:52 GMT", "version": "v1" } ]
2024-01-23
[ [ "Balestriero", "Randall", "" ], [ "LeCun", "Yann", "" ] ]
One fruitful formulation of Deep Networks (DNs) enabling their theoretical study and providing practical guidelines to practitioners relies on Piecewise Affine Splines. In that realm, a DN's input-mapping is expressed as per-region affine mapping where those regions are implicitly determined by the model's architecture...
2306.09331
Dominick Reilly
Dominick Reilly and Aman Chadha and Srijan Das
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Pre-print. 18 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human perception of surroundings is often guided by the various poses present within the environment. Many computer vision tasks, such as human action recognition and robot imitation learning, rely on pose-based entities like human skeletons or robotic arms. However, conventional Vision Transformer (ViT) models unifo...
[ { "created": "Thu, 15 Jun 2023 17:58:39 GMT", "version": "v1" } ]
2023-06-16
[ [ "Reilly", "Dominick", "" ], [ "Chadha", "Aman", "" ], [ "Das", "Srijan", "" ] ]
Human perception of surroundings is often guided by the various poses present within the environment. Many computer vision tasks, such as human action recognition and robot imitation learning, rely on pose-based entities like human skeletons or robotic arms. However, conventional Vision Transformer (ViT) models uniform...
1701.07388
Konstantinos Xirogiannopoulos
Konstantinos Xirogiannopoulos, Amol Deshpande
Extracting and Analyzing Hidden Graphs from Relational Databases
A shorter version of the paper is to appear in SIGMOD 2017
null
10.1145/3035918.3035949
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Analyzing interconnection structures among underlying entities or objects in a dataset through the use of graph analytics has been shown to provide tremendous value in many application domains. However, graphs are not the primary representation choice for storing most data today, and in order to have access to these ...
[ { "created": "Wed, 25 Jan 2017 17:25:56 GMT", "version": "v1" }, { "created": "Sat, 11 Feb 2017 04:25:01 GMT", "version": "v2" } ]
2017-02-14
[ [ "Xirogiannopoulos", "Konstantinos", "" ], [ "Deshpande", "Amol", "" ] ]
Analyzing interconnection structures among underlying entities or objects in a dataset through the use of graph analytics has been shown to provide tremendous value in many application domains. However, graphs are not the primary representation choice for storing most data today, and in order to have access to these an...
2304.06532
Karima Chatouh
Mouna. Malki and Karima. Chatouh
Linear Codes over $\mathfrak{R}^{s,m}=\sum\limits_{\varsigma=1}^{m} v_{m}^{\varsigma-1}\mathcal{A}_{m-1}$, with $v_{m}^{m}=v_{m}$
null
null
null
null
cs.IT math.AC math.IT
http://creativecommons.org/licenses/by-sa/4.0/
The main objective of this paper is to extend the previously defined code family over the ring $\mathfrak{R}=\sum\limits_{s=0}^{4} v_{5}^{s} \mathcal{A}_{4}$ to $\mathfrak{R}^{s,m}=\sum\limits_{\varsigma=1}^{m} v_{m}^{\varsigma-1}\mathcal{A}_{m-1}$, and propose an expanded framework for its implementation in coding t...
[ { "created": "Thu, 13 Apr 2023 13:39:52 GMT", "version": "v1" } ]
2023-04-14
[ [ "Malki", "Mouna.", "" ], [ "Chatouh", "Karima.", "" ] ]
The main objective of this paper is to extend the previously defined code family over the ring $\mathfrak{R}=\sum\limits_{s=0}^{4} v_{5}^{s} \mathcal{A}_{4}$ to $\mathfrak{R}^{s,m}=\sum\limits_{\varsigma=1}^{m} v_{m}^{\varsigma-1}\mathcal{A}_{m-1}$, and propose an expanded framework for its implementation in coding the...
2302.00330
Zhou Yang
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, and David Lo
Prioritizing Speech Test Cases
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the wide adoption of automated speech recognition (ASR) systems, it is increasingly important to test and improve ASR systems. However, collecting and executing speech test cases is usually expensive and time-consuming, motivating us to strategically prioritize speech test cases. A key question is: how to determ...
[ { "created": "Wed, 1 Feb 2023 09:20:08 GMT", "version": "v1" } ]
2023-02-02
[ [ "Yang", "Zhou", "" ], [ "Shi", "Jieke", "" ], [ "Asyrofi", "Muhammad Hilmi", "" ], [ "Xu", "Bowen", "" ], [ "Zhou", "Xin", "" ], [ "Han", "DongGyun", "" ], [ "Lo", "David", "" ] ]
With the wide adoption of automated speech recognition (ASR) systems, it is increasingly important to test and improve ASR systems. However, collecting and executing speech test cases is usually expensive and time-consuming, motivating us to strategically prioritize speech test cases. A key question is: how to determin...
2202.08805
Hussam Habib
Hussam Habib, Padmini Srinivasan and Rishab Nithyanand
Making a Radical Misogynist: How online social engagement with the Manosphere influences traits of radicalization
null
null
10.1145/3555551
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
The algorithms and the interactions facilitated by online platforms have been used by radical groups to recruit vulnerable individuals to their cause. This has resulted in the sharp growth of violent events and deteriorating online discourse. The Manosphere, a collection of radical anti-feminist communities, is one s...
[ { "created": "Thu, 17 Feb 2022 18:17:16 GMT", "version": "v1" } ]
2024-01-18
[ [ "Habib", "Hussam", "" ], [ "Srinivasan", "Padmini", "" ], [ "Nithyanand", "Rishab", "" ] ]
The algorithms and the interactions facilitated by online platforms have been used by radical groups to recruit vulnerable individuals to their cause. This has resulted in the sharp growth of violent events and deteriorating online discourse. The Manosphere, a collection of radical anti-feminist communities, is one suc...
2407.04657
Nathan Cassee
Alexander Serebrenik, Nathan Cassee
Teaching Empirical Methods at Eindhoven University of Technology
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this chapter, we share an experience report of teaching a master course on empirical research methods at Eindhoven University of Technology in the Netherlands. The course is taught for ten weeks to a mix of students from different study programs and combines both practical assignments with a closed-book exam. We d...
[ { "created": "Fri, 5 Jul 2024 17:14:08 GMT", "version": "v1" } ]
2024-07-08
[ [ "Serebrenik", "Alexander", "" ], [ "Cassee", "Nathan", "" ] ]
In this chapter, we share an experience report of teaching a master course on empirical research methods at Eindhoven University of Technology in the Netherlands. The course is taught for ten weeks to a mix of students from different study programs and combines both practical assignments with a closed-book exam. We dis...
1911.00772
Shadrokh Samavi
Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi, Shadrokh Samavi
Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation
5 pages 3 figures
null
null
null
cs.MM cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the effective methods for the preservation of copyright ownership of digital media is watermarking. Different watermarking techniques try to set a tradeoff between robustness and transparency of the process. In this research work, we have used color space conversion and frequency transform to achieve high robu...
[ { "created": "Sat, 2 Nov 2019 19:19:24 GMT", "version": "v1" } ]
2019-11-05
[ [ "Jamali", "Maedeh", "" ], [ "Bagheri", "Mahnoosh", "" ], [ "Karimi", "Nader", "" ], [ "Samavi", "Shadrokh", "" ] ]
One of the effective methods for the preservation of copyright ownership of digital media is watermarking. Different watermarking techniques try to set a tradeoff between robustness and transparency of the process. In this research work, we have used color space conversion and frequency transform to achieve high robust...