id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
2407.11735
Erik Wallin
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
ECCV2024
null
null
null
cs.LG cs.CV stat.ML
http://creativecommons.org/licenses/by/4.0/
In open-set semi-supervised learning (OSSL), we consider unlabeled datasets that may contain unknown classes. Existing OSSL methods often use the softmax confidence for classifying data as in-distribution (ID) or out-of-distribution (OOD). Additionally, many works for OSSL rely on ad-hoc thresholds for ID/OOD classif...
[ { "created": "Tue, 16 Jul 2024 14:05:16 GMT", "version": "v1" } ]
2024-07-17
[ [ "Wallin", "Erik", "" ], [ "Svensson", "Lennart", "" ], [ "Kahl", "Fredrik", "" ], [ "Hammarstrand", "Lars", "" ] ]
In open-set semi-supervised learning (OSSL), we consider unlabeled datasets that may contain unknown classes. Existing OSSL methods often use the softmax confidence for classifying data as in-distribution (ID) or out-of-distribution (OOD). Additionally, many works for OSSL rely on ad-hoc thresholds for ID/OOD classific...
1606.07767
Dimitri Nowicki
Artem Chernodub and Dimitri Nowicki
Sampling-based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks
null
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vanishing (and exploding) gradients effect is a common problem for recurrent neural networks with nonlinear activation functions which use backpropagation method for calculation of derivatives. Deep feedforward neural networks with many hidden layers also suffer from this effect. In this paper we propose a novel univ...
[ { "created": "Fri, 24 Jun 2016 17:31:02 GMT", "version": "v1" }, { "created": "Tue, 31 Jan 2017 21:30:29 GMT", "version": "v2" }, { "created": "Mon, 13 Feb 2017 21:25:26 GMT", "version": "v3" } ]
2017-02-15
[ [ "Chernodub", "Artem", "" ], [ "Nowicki", "Dimitri", "" ] ]
Vanishing (and exploding) gradients effect is a common problem for recurrent neural networks with nonlinear activation functions which use backpropagation method for calculation of derivatives. Deep feedforward neural networks with many hidden layers also suffer from this effect. In this paper we propose a novel univer...
2403.19768
Kevin Barkevich
Kevin Barkevich, Reynold Bailey and Gabriel J. Diaz
Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
16 pages, 10 figures, accepted to ETRA 2024 Full Papers
null
10.1145/3654705
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such as the center or boundaries of the pupil. Tracking these features using traditi...
[ { "created": "Thu, 28 Mar 2024 18:43:25 GMT", "version": "v1" } ]
2024-04-01
[ [ "Barkevich", "Kevin", "" ], [ "Bailey", "Reynold", "" ], [ "Diaz", "Gabriel J.", "" ] ]
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such as the center or boundaries of the pupil. Tracking these features using tradition...
2203.12566
Alex Shafarenko
Alex Shafarenko
Winternitz stack protocols
33 pages 4 figures. This updated version has a corrected stat analysis in Section 2.2 and some typos fixed. Also the abstract has been updated and the related work extended insignificantly
Cybersecurity (2024) 7:34
10.1186/s42400-024-00225-9
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper proposes and evaluates a new bipartite post-quantum digital signature protocol based on Winternitz chains and the HORS oracle. Mutually mistrustful Alice and Bob are able to agree and sign a series of documents in a way that makes it impossible (within the assumed security model) to repudiate their signatu...
[ { "created": "Wed, 23 Mar 2022 17:26:46 GMT", "version": "v1" }, { "created": "Thu, 14 Apr 2022 17:48:46 GMT", "version": "v2" } ]
2024-04-05
[ [ "Shafarenko", "Alex", "" ] ]
This paper proposes and evaluates a new bipartite post-quantum digital signature protocol based on Winternitz chains and the HORS oracle. Mutually mistrustful Alice and Bob are able to agree and sign a series of documents in a way that makes it impossible (within the assumed security model) to repudiate their signature...
2210.07414
Hamed Nilforoshan
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
Human mobility networks reveal increased segregation in large cities
null
null
null
null
cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
A long-standing expectation is that large, dense, and cosmopolitan areas support socioeconomic mixing and exposure between diverse individuals. It has been difficult to assess this hypothesis because past approaches to measuring socioeconomic mixing have relied on static residential housing data rather than real-life...
[ { "created": "Thu, 13 Oct 2022 23:31:33 GMT", "version": "v1" }, { "created": "Tue, 25 Jul 2023 02:37:49 GMT", "version": "v2" } ]
2023-07-26
[ [ "Nilforoshan", "Hamed", "" ], [ "Looi", "Wenli", "" ], [ "Pierson", "Emma", "" ], [ "Villanueva", "Blanca", "" ], [ "Fishman", "Nic", "" ], [ "Chen", "Yiling", "" ], [ "Sholar", "John", "" ], [ "Red...
A long-standing expectation is that large, dense, and cosmopolitan areas support socioeconomic mixing and exposure between diverse individuals. It has been difficult to assess this hypothesis because past approaches to measuring socioeconomic mixing have relied on static residential housing data rather than real-life e...
2010.02778
Weichao Lan
Weichao Lan, Liang Lan
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Convolutional Neural Networks (CNN) have been successfully applied to many real-life problems. However, the huge memory cost of deep CNN models poses a great challenge of deploying them on memory-constrained devices (e.g., mobile phones). One popular way to reduce the memory cost of deep CNN model is to train bi...
[ { "created": "Tue, 6 Oct 2020 14:49:22 GMT", "version": "v1" } ]
2020-10-07
[ [ "Lan", "Weichao", "" ], [ "Lan", "Liang", "" ] ]
Deep Convolutional Neural Networks (CNN) have been successfully applied to many real-life problems. However, the huge memory cost of deep CNN models poses a great challenge of deploying them on memory-constrained devices (e.g., mobile phones). One popular way to reduce the memory cost of deep CNN model is to train bina...
1908.09480
EPTCS
Mathias Fleury (Max Planck Institut for Informatics), Hans-J\"org Schurr (University of Lorraine, CNRS, Inria, and LORIA)
Reconstructing veriT Proofs in Isabelle/HOL
In Proceedings PxTP 2019, arXiv:1908.08639
EPTCS 301, 2019, pp. 36-50
10.4204/EPTCS.301.6
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated theorem provers are now commonly used within interactive theorem provers to discharge an increasingly large number of proof obligations. To maintain the trustworthiness of a proof, the automatically found proof must be verified inside the proof assistant. We present here a reconstruction procedure in the pr...
[ { "created": "Mon, 26 Aug 2019 05:39:28 GMT", "version": "v1" } ]
2019-08-27
[ [ "Fleury", "Mathias", "", "Max Planck Institut for Informatics" ], [ "Schurr", "Hans-Jörg", "", "University of Lorraine, CNRS, Inria, and LORIA" ] ]
Automated theorem provers are now commonly used within interactive theorem provers to discharge an increasingly large number of proof obligations. To maintain the trustworthiness of a proof, the automatically found proof must be verified inside the proof assistant. We present here a reconstruction procedure in the proo...
2007.07138
Sabah Al-Fedaghi Dr.
Sabah Al-Fedaghi
Modeling the Semantics of States and State Machines
15 pages, 17 figures
Journal of Computer Science 2020, 16 (7): 891-905
10.3844/jcssp.2020.891.905
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A system s behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use...
[ { "created": "Tue, 14 Jul 2020 15:57:07 GMT", "version": "v1" } ]
2020-07-15
[ [ "Al-Fedaghi", "Sabah", "" ] ]
A system s behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use o...
2303.10959
Nicky Zimmerman
Nicky Zimmerman and Matteo Sodano and Elias Marks and Jens Behley and Cyrill Stachniss
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
7 pages, accepted to IROS 2023
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize and interact with on objects. In this paper, we address the task of constructing a metric-semantic map for the purpose of long-term object-...
[ { "created": "Mon, 20 Mar 2023 09:33:05 GMT", "version": "v1" }, { "created": "Fri, 13 Oct 2023 15:56:51 GMT", "version": "v2" } ]
2023-10-16
[ [ "Zimmerman", "Nicky", "" ], [ "Sodano", "Matteo", "" ], [ "Marks", "Elias", "" ], [ "Behley", "Jens", "" ], [ "Stachniss", "Cyrill", "" ] ]
Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize and interact with on objects. In this paper, we address the task of constructing a metric-semantic map for the purpose of long-term object-ba...
1810.07075
Shaofeng Yuan
Yujiao Tang, Feng Yang, Shaofeng Yuan, Chang'an Zhan
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation
4 pages, 3 figures, 1 table
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The computer-aided diagnosis (CAD) systems can highly improve the reliability and efficiency of melanoma recognition. As a crucial step of CAD, skin lesion segmentation has the unsatisfactory accuracy in existing methods due to large variability in lesion appearance and artifacts. In this work, we propose a framework...
[ { "created": "Tue, 16 Oct 2018 15:26:30 GMT", "version": "v1" } ]
2018-10-17
[ [ "Tang", "Yujiao", "" ], [ "Yang", "Feng", "" ], [ "Yuan", "Shaofeng", "" ], [ "Zhan", "Chang'an", "" ] ]
The computer-aided diagnosis (CAD) systems can highly improve the reliability and efficiency of melanoma recognition. As a crucial step of CAD, skin lesion segmentation has the unsatisfactory accuracy in existing methods due to large variability in lesion appearance and artifacts. In this work, we propose a framework e...
2304.02312
Thibault Maho
Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon
How to choose your best allies for a transferable attack?
ICCV 2023
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The transferability of adversarial examples is a key issue in the security of deep neural networks. The possibility of an adversarial example crafted for a source model fooling another targeted model makes the threat of adversarial attacks more realistic. Measuring transferability is a crucial problem, but the Attack...
[ { "created": "Wed, 5 Apr 2023 09:08:02 GMT", "version": "v1" }, { "created": "Sun, 16 Jul 2023 14:36:20 GMT", "version": "v2" } ]
2023-07-18
[ [ "Maho", "Thibault", "" ], [ "Moosavi-Dezfooli", "Seyed-Mohsen", "" ], [ "Furon", "Teddy", "" ] ]
The transferability of adversarial examples is a key issue in the security of deep neural networks. The possibility of an adversarial example crafted for a source model fooling another targeted model makes the threat of adversarial attacks more realistic. Measuring transferability is a crucial problem, but the Attack S...
1208.0688
Wei Xi
Jizhong Zhao, Wei Xi, Jinsong Han, Shaojie Tang, Xiangyang Li, Yunhao Liu, Yihong Gong, Zehua Zhou
Efficient and Secure Key Extraction using CSI without Chasing down Errors
Submitted to INFOCOM 2013
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generating keys and keeping them secret is critical in secure communications. Due to the "open-air" nature, key distribution is more susceptible to attacks in wireless communications. An ingenious solution is to generate common secret keys by two communicating parties separately without the need of key exchange or di...
[ { "created": "Fri, 3 Aug 2012 08:35:43 GMT", "version": "v1" } ]
2012-08-06
[ [ "Zhao", "Jizhong", "" ], [ "Xi", "Wei", "" ], [ "Han", "Jinsong", "" ], [ "Tang", "Shaojie", "" ], [ "Li", "Xiangyang", "" ], [ "Liu", "Yunhao", "" ], [ "Gong", "Yihong", "" ], [ "Zhou", "Zehua"...
Generating keys and keeping them secret is critical in secure communications. Due to the "open-air" nature, key distribution is more susceptible to attacks in wireless communications. An ingenious solution is to generate common secret keys by two communicating parties separately without the need of key exchange or dist...
2211.06918
Ismael Perez
Ilkay Altintas, Ismael Perez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
18th IEEE International Conference on eScience (2022)
null
null
null
cs.DC cs.AI
http://creativecommons.org/licenses/by/4.0/
Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence driven methods which requires specialized capabilities at the system-, science- and service-level in addition to the conventional large-capacity supercomputing approaches. The l...
[ { "created": "Sun, 13 Nov 2022 14:48:00 GMT", "version": "v1" } ]
2022-11-15
[ [ "Altintas", "Ilkay", "" ], [ "Perez", "Ismael", "" ], [ "Mishin", "Dmitry", "" ], [ "Trouillaud", "Adrien", "" ], [ "Irving", "Christopher", "" ], [ "Graham", "John", "" ], [ "Tatineni", "Mahidhar", "" ],...
Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence driven methods which requires specialized capabilities at the system-, science- and service-level in addition to the conventional large-capacity supercomputing approaches. The lat...
1809.08211
Fulvio Mastrogiovanni
Wojciech Wasko, Alessandro Albini, Perla Maiolino, Fulvio Mastrogiovanni, Giorgio Cannata
Contact modelling and tactile data processing for robot skin
Submitted to Robotics and Autonomous Systems
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. Considering a large-scale, capacitance-based robot skin technology w...
[ { "created": "Fri, 21 Sep 2018 17:05:34 GMT", "version": "v1" } ]
2018-09-24
[ [ "Wasko", "Wojciech", "" ], [ "Albini", "Alessandro", "" ], [ "Maiolino", "Perla", "" ], [ "Mastrogiovanni", "Fulvio", "" ], [ "Cannata", "Giorgio", "" ] ]
Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. Considering a large-scale, capacitance-based robot skin technology we ...
2109.01820
Chenjie Wang
Chenjie Wang, Chengyuan Li, Bin Luo, Wei Wang, Jun Liu
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions
12 pages, 10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Segmenting each moving object instance in a scene is essential for many applications. But like many other computer vision tasks, this task performs well in optimal weather, but then adverse weather tends to fail. To be robust in weather conditions, the usual way is to train network in data of given weather pattern or...
[ { "created": "Sat, 4 Sep 2021 08:55:36 GMT", "version": "v1" } ]
2021-09-07
[ [ "Wang", "Chenjie", "" ], [ "Li", "Chengyuan", "" ], [ "Luo", "Bin", "" ], [ "Wang", "Wei", "" ], [ "Liu", "Jun", "" ] ]
Segmenting each moving object instance in a scene is essential for many applications. But like many other computer vision tasks, this task performs well in optimal weather, but then adverse weather tends to fail. To be robust in weather conditions, the usual way is to train network in data of given weather pattern or t...
2211.07514
Anmol Agarwal
Anmol Agarwal, Jigar Gupta, Rahul Goel, Shyam Upadhyay, Pankaj Joshi, Rengarajan Aravamudhan
CST5: Data Augmentation for Code-Switched Semantic Parsing
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Extending semantic parsers to code-switched input has been a challenging problem, primarily due to a lack of supervised training data. In this work, we introduce CST5, a new data augmentation technique that finetunes a T5 model using a small seed set ($\approx$100 utterances) to generate code-switched utterances from...
[ { "created": "Mon, 14 Nov 2022 16:45:30 GMT", "version": "v1" } ]
2022-11-15
[ [ "Agarwal", "Anmol", "" ], [ "Gupta", "Jigar", "" ], [ "Goel", "Rahul", "" ], [ "Upadhyay", "Shyam", "" ], [ "Joshi", "Pankaj", "" ], [ "Aravamudhan", "Rengarajan", "" ] ]
Extending semantic parsers to code-switched input has been a challenging problem, primarily due to a lack of supervised training data. In this work, we introduce CST5, a new data augmentation technique that finetunes a T5 model using a small seed set ($\approx$100 utterances) to generate code-switched utterances from E...
2207.11850
Yudong Han
Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
13 pages, 10 figures, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several studies have recently pointed that existing Visual Question Answering (VQA) models heavily suffer from the language prior problem, which refers to capturing superficial statistical correlations between the question type and the answer whereas ignoring the image contents. Numerous efforts have been dedicated t...
[ { "created": "Sun, 24 Jul 2022 23:50:52 GMT", "version": "v1" } ]
2022-07-26
[ [ "Han", "Yudong", "" ], [ "Nie", "Liqiang", "" ], [ "Yin", "Jianhua", "" ], [ "Wu", "Jianlong", "" ], [ "Yan", "Yan", "" ] ]
Several studies have recently pointed that existing Visual Question Answering (VQA) models heavily suffer from the language prior problem, which refers to capturing superficial statistical correlations between the question type and the answer whereas ignoring the image contents. Numerous efforts have been dedicated to ...
2408.06685
Kim-Manuel Klein
Kim-Manuel Klein and Janina Reuter
Faster Lattice Basis Computation -- The Generalization of the Euclidean Algorithm
20 pages. arXiv admin note: substantial text overlap with arXiv:2311.15902
null
null
null
cs.DS cs.DM math.AG
http://creativecommons.org/licenses/by/4.0/
The Euclidean algorithm the oldest algorithms known to mankind. Given two integral numbers $a_1$ and $a_2$, it computes the greatest common divisor (gcd) of $a_1$ and $a_2$ in a very elegant way. From a lattice perspective, it computes a basis of the sum of two one-dimensional lattices $a_1 \mathbb{Z}$ and $a_2 \math...
[ { "created": "Tue, 13 Aug 2024 07:24:53 GMT", "version": "v1" } ]
2024-08-14
[ [ "Klein", "Kim-Manuel", "" ], [ "Reuter", "Janina", "" ] ]
The Euclidean algorithm the oldest algorithms known to mankind. Given two integral numbers $a_1$ and $a_2$, it computes the greatest common divisor (gcd) of $a_1$ and $a_2$ in a very elegant way. From a lattice perspective, it computes a basis of the sum of two one-dimensional lattices $a_1 \mathbb{Z}$ and $a_2 \mathbb...
1711.06855
Ahmet Cetinkaya
Ahmet Cetinkaya, Hideaki Ishii, Tomohisa Hayakawa
A Probabilistic Characterization of Random and Malicious Communication Failures in Multi-Hop Networked Control
Correct typos in Sections 3-6. Make changes in the proofs of Theorems 3.4 and 4.3
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The control problem of a linear discrete-time dynamical system over a multi-hop network is explored. The network is assumed to be subject to packet drops by malicious and nonmalicious nodes as well as random and malicious data corruption issues. We utilize asymptotic tail-probability bounds of transmission failure ra...
[ { "created": "Sat, 18 Nov 2017 12:35:23 GMT", "version": "v1" }, { "created": "Wed, 30 May 2018 04:30:39 GMT", "version": "v2" }, { "created": "Fri, 21 Sep 2018 04:27:27 GMT", "version": "v3" } ]
2018-09-24
[ [ "Cetinkaya", "Ahmet", "" ], [ "Ishii", "Hideaki", "" ], [ "Hayakawa", "Tomohisa", "" ] ]
The control problem of a linear discrete-time dynamical system over a multi-hop network is explored. The network is assumed to be subject to packet drops by malicious and nonmalicious nodes as well as random and malicious data corruption issues. We utilize asymptotic tail-probability bounds of transmission failure rati...
2309.00665
Iurii Medvedev
Iurii Medvedev, Joana Pimenta, Nuno Gon\c{c}alves
Fused Classification For Differential Face Morphing Detection
8 pages, 3 figures, 2 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks, which involve blending multiple face images to create a synthetic image that can match different individuals. In this paper, we focus on ...
[ { "created": "Fri, 1 Sep 2023 16:14:29 GMT", "version": "v1" } ]
2023-09-06
[ [ "Medvedev", "Iurii", "" ], [ "Pimenta", "Joana", "" ], [ "Gonçalves", "Nuno", "" ] ]
Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks, which involve blending multiple face images to create a synthetic image that can match different individuals. In this paper, we focus on th...
1708.02377
Chengxi Zang
Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos and Wenwu Zhu
Structural patterns of information cascades and their implications for dynamics and semantics
null
null
null
null
cs.SI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information cascades are ubiquitous in both physical society and online social media, taking on large variations in structures, dynamics and semantics. Although the dynamics and semantics of information cascades have been studied, the structural patterns and their correlations with dynamics and semantics are largely ...
[ { "created": "Tue, 8 Aug 2017 05:42:46 GMT", "version": "v1" } ]
2017-08-09
[ [ "Zang", "Chengxi", "" ], [ "Cui", "Peng", "" ], [ "Song", "Chaoming", "" ], [ "Faloutsos", "Christos", "" ], [ "Zhu", "Wenwu", "" ] ]
Information cascades are ubiquitous in both physical society and online social media, taking on large variations in structures, dynamics and semantics. Although the dynamics and semantics of information cascades have been studied, the structural patterns and their correlations with dynamics and semantics are largely un...
2108.07506
Haitian Zeng
Haitian Zeng, Yuchao Dai, Xin Yu, Xiaohan Wang, Yi Yang
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion
Accepted to ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularization losses. RRN is designed to effectively recover 3D shape and camera from 2D keypoints with novel residual-recursive structure. As NRSfM i...
[ { "created": "Tue, 17 Aug 2021 08:39:02 GMT", "version": "v1" } ]
2021-08-18
[ [ "Zeng", "Haitian", "" ], [ "Dai", "Yuchao", "" ], [ "Yu", "Xin", "" ], [ "Wang", "Xiaohan", "" ], [ "Yang", "Yi", "" ] ]
We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularization losses. RRN is designed to effectively recover 3D shape and camera from 2D keypoints with novel residual-recursive structure. As NRSfM is ...
2307.00362
Emmanuel Sam
Emmanuel Sam and Benjamin Bergougnoux and Petr A. Golovach and Nello Blaser
Kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves
16 pages, accepted for presentation at FCT 2023
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For a given graph $G$, a depth-first search (DFS) tree $T$ of $G$ is an $r$-rooted spanning tree such that every edge of $G$ is either an edge of $T$ or is between a \textit{descendant} and an \textit{ancestor} in $T$. A graph $G$ together with a DFS tree is called a \textit{lineal topology} $\mathcal{T} = (G, r, T)$...
[ { "created": "Sat, 1 Jul 2023 15:19:22 GMT", "version": "v1" }, { "created": "Thu, 20 Jul 2023 08:47:18 GMT", "version": "v2" } ]
2023-07-21
[ [ "Sam", "Emmanuel", "" ], [ "Bergougnoux", "Benjamin", "" ], [ "Golovach", "Petr A.", "" ], [ "Blaser", "Nello", "" ] ]
For a given graph $G$, a depth-first search (DFS) tree $T$ of $G$ is an $r$-rooted spanning tree such that every edge of $G$ is either an edge of $T$ or is between a \textit{descendant} and an \textit{ancestor} in $T$. A graph $G$ together with a DFS tree is called a \textit{lineal topology} $\mathcal{T} = (G, r, T)$. ...
2401.03764
Rui Ma
Ruiqi Liu, Peng Zheng, Ye Wang, Rui Ma
3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis
null
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing 3D-aware portrait synthesis methods can generate impressive high-quality images while preserving strong 3D consistency. However, most of them cannot support the fine-grained part-level control over synthesized images. Conversely, some GAN-based 2D portrait synthesis methods can achieve clear disentanglement ...
[ { "created": "Mon, 8 Jan 2024 09:41:07 GMT", "version": "v1" } ]
2024-01-09
[ [ "Liu", "Ruiqi", "" ], [ "Zheng", "Peng", "" ], [ "Wang", "Ye", "" ], [ "Ma", "Rui", "" ] ]
Existing 3D-aware portrait synthesis methods can generate impressive high-quality images while preserving strong 3D consistency. However, most of them cannot support the fine-grained part-level control over synthesized images. Conversely, some GAN-based 2D portrait synthesis methods can achieve clear disentanglement of...
2106.01904
Lorenzo Bertolini
Lorenzo Bertolini, Julie Weeds, David Weir, Qiwei Peng
Representing Syntax and Composition with Geometric Transformations
to appear in Findings of ACL 2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The exploitation of syntactic graphs (SyGs) as a word's context has been shown to be beneficial for distributional semantic models (DSMs), both at the level of individual word representations and in deriving phrasal representations via composition. However, notwithstanding the potential performance benefit, the synta...
[ { "created": "Thu, 3 Jun 2021 14:53:34 GMT", "version": "v1" } ]
2021-06-04
[ [ "Bertolini", "Lorenzo", "" ], [ "Weeds", "Julie", "" ], [ "Weir", "David", "" ], [ "Peng", "Qiwei", "" ] ]
The exploitation of syntactic graphs (SyGs) as a word's context has been shown to be beneficial for distributional semantic models (DSMs), both at the level of individual word representations and in deriving phrasal representations via composition. However, notwithstanding the potential performance benefit, the syntact...
2202.13985
Stuart Armstrong
Rebecca Gorman, Stuart Armstrong
The dangers in algorithms learning humans' values and irrationalities
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
For an artificial intelligence (AI) to be aligned with human values (or human preferences), it must first learn those values. AI systems that are trained on human behavior, risk miscategorising human irrationalities as human values -- and then optimising for these irrationalities. Simply learning human values still c...
[ { "created": "Mon, 28 Feb 2022 17:41:39 GMT", "version": "v1" }, { "created": "Tue, 1 Mar 2022 11:23:04 GMT", "version": "v2" } ]
2022-03-02
[ [ "Gorman", "Rebecca", "" ], [ "Armstrong", "Stuart", "" ] ]
For an artificial intelligence (AI) to be aligned with human values (or human preferences), it must first learn those values. AI systems that are trained on human behavior, risk miscategorising human irrationalities as human values -- and then optimising for these irrationalities. Simply learning human values still car...
2109.14879
Grzegorz Chlebus
Grzegorz Chlebus and Andrea Schenk and Horst K. Hahn and Bram van Ginneken and Hans Meine
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Semantic segmentation neural networks require pixel-level annotations in large quantities to achieve a good performance. In the medical domain, such annotations are expensive, because they are time-consuming and require expert knowledge. Active learning optimizes the annotation effort by devising strategies to select...
[ { "created": "Thu, 30 Sep 2021 06:56:11 GMT", "version": "v1" } ]
2021-10-01
[ [ "Chlebus", "Grzegorz", "" ], [ "Schenk", "Andrea", "" ], [ "Hahn", "Horst K.", "" ], [ "van Ginneken", "Bram", "" ], [ "Meine", "Hans", "" ] ]
Semantic segmentation neural networks require pixel-level annotations in large quantities to achieve a good performance. In the medical domain, such annotations are expensive, because they are time-consuming and require expert knowledge. Active learning optimizes the annotation effort by devising strategies to select c...
2402.10815
Noleen K\"ohler
Tesshu Hanaka, Noleen K\"ohler and Michael Lampis
Core Stability in Additively Separable Hedonic Games of Low Treewidth
null
null
null
null
cs.DS cs.CC cs.GT
http://creativecommons.org/licenses/by/4.0/
Additively Separable Hedonic Game (ASHG) are coalition-formation games where we are given a graph whose vertices represent $n$ selfish agents and the weight of each edge $uv$ denotes how much agent $u$ gains (or loses) when she is placed in the same coalition as agent $v$. We revisit the computational complexity of t...
[ { "created": "Fri, 16 Feb 2024 16:39:14 GMT", "version": "v1" } ]
2024-02-19
[ [ "Hanaka", "Tesshu", "" ], [ "Köhler", "Noleen", "" ], [ "Lampis", "Michael", "" ] ]
Additively Separable Hedonic Game (ASHG) are coalition-formation games where we are given a graph whose vertices represent $n$ selfish agents and the weight of each edge $uv$ denotes how much agent $u$ gains (or loses) when she is placed in the same coalition as agent $v$. We revisit the computational complexity of the...
1709.05737
Dong Liu
Rui Song, Dong Liu, Houqiang Li, Feng Wu
Neural network-based arithmetic coding of intra prediction modes in HEVC
VCIP 2017
null
10.1109/VCIP.2017.8305104
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well as handcrafted context models, which may restrict the compression efficiency. In this paper, we propose an arithmetic coding strategy by t...
[ { "created": "Mon, 18 Sep 2017 01:32:45 GMT", "version": "v1" } ]
2018-03-30
[ [ "Song", "Rui", "" ], [ "Liu", "Dong", "" ], [ "Li", "Houqiang", "" ], [ "Wu", "Feng", "" ] ]
In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well as handcrafted context models, which may restrict the compression efficiency. In this paper, we propose an arithmetic coding strategy by tra...
2203.08931
Reno Kriz
Anietie Andy and Siyi Liu and Daphne Ippolito and Reno Kriz and Chris Callison-Burch and Derry Wijaya
Creating Multimedia Summaries Using Tweets and Videos
8 pages, 3 figures, 7 tables
null
null
null
cs.CL cs.CV
http://creativecommons.org/licenses/by/4.0/
While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time. In this paper, we propose a simple yet effective approach to combine social media commentary and videos to create a multimedia summary of televised events. Our approach identifies scenes...
[ { "created": "Wed, 16 Mar 2022 20:37:49 GMT", "version": "v1" } ]
2022-03-18
[ [ "Andy", "Anietie", "" ], [ "Liu", "Siyi", "" ], [ "Ippolito", "Daphne", "" ], [ "Kriz", "Reno", "" ], [ "Callison-Burch", "Chris", "" ], [ "Wijaya", "Derry", "" ] ]
While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time. In this paper, we propose a simple yet effective approach to combine social media commentary and videos to create a multimedia summary of televised events. Our approach identifies scenes f...
1108.3636
EPTCS
Mathieu Roux (LMNO and GREYC, CNRS and University of Caen, France), Brigitte Vall\'ee (GREYC, CNRS and University of Caen, France)
Information theory: Sources, Dirichlet series, and realistic analyses of data structures
In Proceedings WORDS 2011, arXiv:1108.3412
EPTCS 63, 2011, pp. 199-214
10.4204/EPTCS.63.26
null
cs.IT cs.DM cs.DS math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most of the text algorithms build data structures on words, mainly trees, as digital trees (tries) or binary search trees (bst). The mechanism which produces symbols of the words (one symbol at each unit time) is called a source, in information theory contexts. The probabilistic behaviour of the trees built on words ...
[ { "created": "Thu, 18 Aug 2011 03:54:43 GMT", "version": "v1" } ]
2011-08-19
[ [ "Roux", "Mathieu", "", "LMNO and GREYC, CNRS and University of Caen, France" ], [ "Vallée", "Brigitte", "", "GREYC, CNRS and University of Caen, France" ] ]
Most of the text algorithms build data structures on words, mainly trees, as digital trees (tries) or binary search trees (bst). The mechanism which produces symbols of the words (one symbol at each unit time) is called a source, in information theory contexts. The probabilistic behaviour of the trees built on words em...
cs/0107024
Joseph O'Rourke
Erik D. Demaine, Martin L. Demaine, Anna Lubiw, Joseph O'Rourke
Enumerating Foldings and Unfoldings between Polygons and Polytopes
12 pages; 10 figures; 10 references. Revision of version in Proceedings of the Japan Conference on Discrete and Computational Geometry, Tokyo, Nov. 2000, pp. 9-12. See also cs.CG/0007019
Graphs and Combinatorics 18(1) 93-104 (2002)
null
null
cs.CG cs.DM
null
We pose and answer several questions concerning the number of ways to fold a polygon to a polytope, and how many polytopes can be obtained from one polygon; and the analogous questions for unfolding polytopes to polygons. Our answers are, roughly: exponentially many, or nondenumerably infinite.
[ { "created": "Wed, 18 Jul 2001 13:13:39 GMT", "version": "v1" } ]
2007-05-23
[ [ "Demaine", "Erik D.", "" ], [ "Demaine", "Martin L.", "" ], [ "Lubiw", "Anna", "" ], [ "O'Rourke", "Joseph", "" ] ]
We pose and answer several questions concerning the number of ways to fold a polygon to a polytope, and how many polytopes can be obtained from one polygon; and the analogous questions for unfolding polytopes to polygons. Our answers are, roughly: exponentially many, or nondenumerably infinite.
2001.11071
Ning Zhang
Ning Zhang, Yu Cao, Benyuan Liu, and Yan Luo
3D Aggregated Faster R-CNN for General Lesion Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lesions are damages and abnormalities in tissues of the human body. Many of them can later turn into fatal diseases such as cancers. Detecting lesions are of great importance for early diagnosis and timely treatment. To this end, Computed Tomography (CT) scans often serve as the screening tool, allowing us to leverag...
[ { "created": "Wed, 29 Jan 2020 19:57:35 GMT", "version": "v1" } ]
2020-01-31
[ [ "Zhang", "Ning", "" ], [ "Cao", "Yu", "" ], [ "Liu", "Benyuan", "" ], [ "Luo", "Yan", "" ] ]
Lesions are damages and abnormalities in tissues of the human body. Many of them can later turn into fatal diseases such as cancers. Detecting lesions are of great importance for early diagnosis and timely treatment. To this end, Computed Tomography (CT) scans often serve as the screening tool, allowing us to leverage ...
2206.11866
Jo\~ao Vitorino
Jo\~ao Vitorino, Tiago Dias, Tiago Fonseca, Nuno Oliveira, Isabel Pra\c{c}a
A Multi-Policy Framework for Deep Learning-Based Fake News Detection
10 pages, 1 table, 3 figures, DCAI 2022 conference
null
10.1007/978-3-031-20859-1_13
null
cs.CL cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Connectivity plays an ever-increasing role in modern society, with people all around the world having easy access to rapidly disseminated information. However, a more interconnected society enables the spread of intentionally false information. To mitigate the negative impacts of fake news, it is essential to improve...
[ { "created": "Wed, 1 Jun 2022 21:25:21 GMT", "version": "v1" } ]
2023-02-03
[ [ "Vitorino", "João", "" ], [ "Dias", "Tiago", "" ], [ "Fonseca", "Tiago", "" ], [ "Oliveira", "Nuno", "" ], [ "Praça", "Isabel", "" ] ]
Connectivity plays an ever-increasing role in modern society, with people all around the world having easy access to rapidly disseminated information. However, a more interconnected society enables the spread of intentionally false information. To mitigate the negative impacts of fake news, it is essential to improve d...
0707.2185
Damien Chablat
Sylvain Guegan (IRCCyN), Wisama Khalil (IRCCyN), Damien Chablat (IRCCyN), Philippe Wenger (IRCCyN)
Mod\'elisation Dynamique d'un Robot Parall\`ele \`a 3-DDL : l'Orthoglide
null
Conf\'erence Internationale Francophone d'Automatique (07/2002) 1-6
null
null
cs.RO
null
In this article, we propose a method for calculation of the inverse and direct dynamic models of the Orthoglide, a parallel robot with threedegrees of freedom in translation. These models are calculated starting from the elements of the dynamic model of the kinematic chain structure and equations of Newton-Euler appl...
[ { "created": "Sun, 15 Jul 2007 07:14:51 GMT", "version": "v1" } ]
2007-07-17
[ [ "Guegan", "Sylvain", "", "IRCCyN" ], [ "Khalil", "Wisama", "", "IRCCyN" ], [ "Chablat", "Damien", "", "IRCCyN" ], [ "Wenger", "Philippe", "", "IRCCyN" ] ]
In this article, we propose a method for calculation of the inverse and direct dynamic models of the Orthoglide, a parallel robot with threedegrees of freedom in translation. These models are calculated starting from the elements of the dynamic model of the kinematic chain structure and equations of Newton-Euler applie...
1910.02390
Amber Nigam
Amber Nigam, Pragati Jaiswal, Uma Girkar, Teertha Arora, and Leo A. Celi
Migration through Machine Learning Lens -- Predicting Sexual and Reproductive Health Vulnerability of Young Migrants
Accepted for Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract
null
null
null
cs.LG cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we have discussed initial findings and results of our experiment to predict sexual and reproductive health vulnerabilities of migrants in a data-constrained environment. Notwithstanding the limited research and data about migrants and migration cities, we propose a solution that simultaneously focuses ...
[ { "created": "Sun, 6 Oct 2019 07:09:13 GMT", "version": "v1" }, { "created": "Thu, 17 Oct 2019 03:56:45 GMT", "version": "v2" }, { "created": "Fri, 15 Nov 2019 20:14:39 GMT", "version": "v3" }, { "created": "Fri, 22 Nov 2019 10:00:02 GMT", "version": "v4" } ]
2019-11-25
[ [ "Nigam", "Amber", "" ], [ "Jaiswal", "Pragati", "" ], [ "Girkar", "Uma", "" ], [ "Arora", "Teertha", "" ], [ "Celi", "Leo A.", "" ] ]
In this paper, we have discussed initial findings and results of our experiment to predict sexual and reproductive health vulnerabilities of migrants in a data-constrained environment. Notwithstanding the limited research and data about migrants and migration cities, we propose a solution that simultaneously focuses on...
2112.07019
Lennart Bamberg Dr.-Ing.
Lennart Bamberg, Arash Pourtaherian, Luc Waeijen, Anupam Chahar, Orlando Moreira
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators
Preprint accepted by the IEEE Transactions on Parallel and Distributed Systems
null
null
null
cs.AR cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
Manufacturing-viable neuromorphic chips require novel computer architectures to achieve the massively parallel and efficient information processing the brain supports so effortlessly. Emerging event-based architectures are making this dream a reality. However, the large memory requirements for synaptic connectivity a...
[ { "created": "Mon, 13 Dec 2021 21:14:35 GMT", "version": "v1" }, { "created": "Sat, 25 Dec 2021 23:05:11 GMT", "version": "v2" }, { "created": "Tue, 24 Jan 2023 09:19:17 GMT", "version": "v3" } ]
2023-01-25
[ [ "Bamberg", "Lennart", "" ], [ "Pourtaherian", "Arash", "" ], [ "Waeijen", "Luc", "" ], [ "Chahar", "Anupam", "" ], [ "Moreira", "Orlando", "" ] ]
Manufacturing-viable neuromorphic chips require novel computer architectures to achieve the massively parallel and efficient information processing the brain supports so effortlessly. Emerging event-based architectures are making this dream a reality. However, the large memory requirements for synaptic connectivity are...
2307.07354
Anna Bernasconi
Stefano Ceri, Anna Bernasconi, Alessia Gagliardi, Davide Martinenghi, Luigi Bellomarini, Davide Magnanimi
PG-Triggers: Triggers for Property Graphs
13 pages, 5 figures, 4 tables
In Companion of the 2024 International Conference on Management of Data (SIGMOD/PODS '24). Association for Computing Machinery, New York, NY, USA, 373-385
10.1145/3626246.3653386
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Graph databases are emerging as the leading data management technology for storing large knowledge graphs; significant efforts are ongoing to produce new standards (such as the Graph Query Language, GQL), as well as enrich them with properties, types, schemas, and keys. In this article, we introduce PG-Triggers, a co...
[ { "created": "Fri, 14 Jul 2023 14:02:20 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2024 13:42:50 GMT", "version": "v2" }, { "created": "Mon, 10 Jun 2024 22:29:14 GMT", "version": "v3" } ]
2024-06-12
[ [ "Ceri", "Stefano", "" ], [ "Bernasconi", "Anna", "" ], [ "Gagliardi", "Alessia", "" ], [ "Martinenghi", "Davide", "" ], [ "Bellomarini", "Luigi", "" ], [ "Magnanimi", "Davide", "" ] ]
Graph databases are emerging as the leading data management technology for storing large knowledge graphs; significant efforts are ongoing to produce new standards (such as the Graph Query Language, GQL), as well as enrich them with properties, types, schemas, and keys. In this article, we introduce PG-Triggers, a comp...
2209.09660
Carlos Perez Galvan Dr
Imanol Arzac-Garmendia, Mattia Vallerio, Carlos Perez-Galvan and Francisco J. Navarro-Brull
Industrial Data Science for Batch Manufacturing Processes
null
null
null
null
cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Batch processes show several sources of variability, from raw materials' properties to initial and evolving conditions that change during the different events in the manufacturing process. In this chapter, we will illustrate with an industrial example how to use machine learning to reduce this apparent excess of data...
[ { "created": "Tue, 20 Sep 2022 11:59:13 GMT", "version": "v1" } ]
2022-09-21
[ [ "Arzac-Garmendia", "Imanol", "" ], [ "Vallerio", "Mattia", "" ], [ "Perez-Galvan", "Carlos", "" ], [ "Navarro-Brull", "Francisco J.", "" ] ]
Batch processes show several sources of variability, from raw materials' properties to initial and evolving conditions that change during the different events in the manufacturing process. In this chapter, we will illustrate with an industrial example how to use machine learning to reduce this apparent excess of data w...
2210.15131
Haohan Guo
Haohan Guo, Fenglong Xie, Xixin Wu, Hui Lu, Helen Meng
Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations
Submitted to ICASSP 2023
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper aims to enhance low-resource TTS by reducing training data requirements using compact speech representations. A Multi-Stage Multi-Codebook (MSMC) VQ-GAN is trained to learn the representation, MSMCR, and decode it to waveforms. Subsequently, we train the multi-stage predictor to predict MSMCRs from the tex...
[ { "created": "Thu, 27 Oct 2022 02:32:00 GMT", "version": "v1" } ]
2022-10-28
[ [ "Guo", "Haohan", "" ], [ "Xie", "Fenglong", "" ], [ "Wu", "Xixin", "" ], [ "Lu", "Hui", "" ], [ "Meng", "Helen", "" ] ]
This paper aims to enhance low-resource TTS by reducing training data requirements using compact speech representations. A Multi-Stage Multi-Codebook (MSMC) VQ-GAN is trained to learn the representation, MSMCR, and decode it to waveforms. Subsequently, we train the multi-stage predictor to predict MSMCRs from the text ...
1906.07328
Alex Cummaudo Mr
Alex Cummaudo, Rajesh Vasa, John Grundy, Mohamed Abdelrazek, Andrew Cain
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in artificial intelligence (AI) and machine learning (ML), such as computer vision, are now available as intelligent services and their accessibility and simplicity is compelling. Multiple vendors now offer this technology as cloud services and developers want to leverage these advances to provide val...
[ { "created": "Tue, 18 Jun 2019 01:11:43 GMT", "version": "v1" }, { "created": "Tue, 30 Jul 2019 23:51:03 GMT", "version": "v2" } ]
2019-08-01
[ [ "Cummaudo", "Alex", "" ], [ "Vasa", "Rajesh", "" ], [ "Grundy", "John", "" ], [ "Abdelrazek", "Mohamed", "" ], [ "Cain", "Andrew", "" ] ]
Recent advances in artificial intelligence (AI) and machine learning (ML), such as computer vision, are now available as intelligent services and their accessibility and simplicity is compelling. Multiple vendors now offer this technology as cloud services and developers want to leverage these advances to provide value...
1901.04321
Thom Lake
Thom Lake, Sinead A. Williamson, Alexander T. Hawk, Christopher C. Johnson, Benjamin P. Wing
Large-scale Collaborative Filtering with Product Embeddings
15 pages, 5 figures
null
null
null
cs.IR cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The application of machine learning techniques to large-scale personalized recommendation problems is a challenging task. Such systems must make sense of enormous amounts of implicit feedback in order to understand user preferences across numerous product categories. This paper presents a deep learning based solution...
[ { "created": "Fri, 11 Jan 2019 17:28:59 GMT", "version": "v1" } ]
2019-01-15
[ [ "Lake", "Thom", "" ], [ "Williamson", "Sinead A.", "" ], [ "Hawk", "Alexander T.", "" ], [ "Johnson", "Christopher C.", "" ], [ "Wing", "Benjamin P.", "" ] ]
The application of machine learning techniques to large-scale personalized recommendation problems is a challenging task. Such systems must make sense of enormous amounts of implicit feedback in order to understand user preferences across numerous product categories. This paper presents a deep learning based solution t...
2405.20590
Junzhi Wen
Junzhi Wen, Rafal A. Angryk
Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
null
null
null
null
cs.LG astro-ph.IM astro-ph.SR cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Time series data plays a crucial role across various domains, making it valuable for decision-making and predictive modeling. Machine learning (ML) and deep learning (DL) have shown promise in this regard, yet their performance hinges on data quality and quantity, often constrained by data scarcity and class imbalanc...
[ { "created": "Fri, 31 May 2024 03:03:19 GMT", "version": "v1" } ]
2024-06-03
[ [ "Wen", "Junzhi", "" ], [ "Angryk", "Rafal A.", "" ] ]
Time series data plays a crucial role across various domains, making it valuable for decision-making and predictive modeling. Machine learning (ML) and deep learning (DL) have shown promise in this regard, yet their performance hinges on data quality and quantity, often constrained by data scarcity and class imbalance,...
2304.05468
Nikola Milo\v{s}evi\'c Dr
Ulfeta A. Marovac, Aldina R. Avdi\'c, Nikola Lj. Milo\v{s}evi\'c
A Survey of Resources and Methods for Natural Language Processing of Serbian Language
43 pages, submitted to Artificial Intelligence Review Journal
null
null
null
cs.CL cs.DL cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
The Serbian language is a Slavic language spoken by over 12 million speakers and well understood by over 15 million people. In the area of natural language processing, it can be considered a low-resourced language. Also, Serbian is considered a high-inflectional language. The combination of many word inflections and ...
[ { "created": "Tue, 11 Apr 2023 19:33:41 GMT", "version": "v1" } ]
2023-04-13
[ [ "Marovac", "Ulfeta A.", "" ], [ "Avdić", "Aldina R.", "" ], [ "Milošević", "Nikola Lj.", "" ] ]
The Serbian language is a Slavic language spoken by over 12 million speakers and well understood by over 15 million people. In the area of natural language processing, it can be considered a low-resourced language. Also, Serbian is considered a high-inflectional language. The combination of many word inflections and lo...
2204.04775
Saadullah Amin
Saadullah Amin, Noon Pokaratsiri Goldstein, Morgan Kelly Wixted, Alejandro Garc\'ia-Rudolph, Catalina Mart\'inez-Costa, G\"unter Neumann
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts
Accepted by BioNLP'22
null
null
null
cs.CL cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Despite the advances in digital healthcare systems offering curated structured knowledge, much of the critical information still lies in large volumes of unlabeled and unstructured clinical texts. These texts, which often contain protected health information (PHI), are exposed to information extraction tools for down...
[ { "created": "Sun, 10 Apr 2022 21:46:52 GMT", "version": "v1" } ]
2022-04-12
[ [ "Amin", "Saadullah", "" ], [ "Goldstein", "Noon Pokaratsiri", "" ], [ "Wixted", "Morgan Kelly", "" ], [ "García-Rudolph", "Alejandro", "" ], [ "Martínez-Costa", "Catalina", "" ], [ "Neumann", "Günter", "" ] ]
Despite the advances in digital healthcare systems offering curated structured knowledge, much of the critical information still lies in large volumes of unlabeled and unstructured clinical texts. These texts, which often contain protected health information (PHI), are exposed to information extraction tools for downst...
1902.09722
Tatsuya Shiraishi
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finding an optimal parameter of a black-box function is important for searching stable material structures and finding optimal neural network structures, and Bayesian optimization algorithms are widely used for the purpose. However, most of existing Bayesian optimization algorithms can only handle vector data and can...
[ { "created": "Tue, 26 Feb 2019 04:13:07 GMT", "version": "v1" } ]
2019-02-27
[ [ "Shiraishi", "Tatsuya", "" ], [ "Le", "Tam", "" ], [ "Kashima", "Hisashi", "" ], [ "Yamada", "Makoto", "" ] ]
Finding an optimal parameter of a black-box function is important for searching stable material structures and finding optimal neural network structures, and Bayesian optimization algorithms are widely used for the purpose. However, most of existing Bayesian optimization algorithms can only handle vector data and canno...
1408.6282
Thomas Pajor
Edith Cohen, Daniel Delling, Thomas Pajor, Renato F. Werneck
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees
10 pages, 5 figures. Appeared at the 23rd Conference on Information and Knowledge Management (CIKM 2014) in Shanghai, China
null
10.1145/2661829.2662077
null
cs.DS cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Propagation of contagion through networks is a fundamental process. It is used to model the spread of information, influence, or a viral infection. Diffusion patterns can be specified by a probabilistic model, such as Independent Cascade (IC), or captured by a set of representative traces. Basic computational probl...
[ { "created": "Tue, 26 Aug 2014 23:48:19 GMT", "version": "v1" } ]
2014-08-28
[ [ "Cohen", "Edith", "" ], [ "Delling", "Daniel", "" ], [ "Pajor", "Thomas", "" ], [ "Werneck", "Renato F.", "" ] ]
Propagation of contagion through networks is a fundamental process. It is used to model the spread of information, influence, or a viral infection. Diffusion patterns can be specified by a probabilistic model, such as Independent Cascade (IC), or captured by a set of representative traces. Basic computational problems ...
2010.08210
Xue Mengge
Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang
Coarse-to-Fine Pre-training for Named Entity Recognition
null
EMNLP 2020
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
More recently, Named Entity Recognition hasachieved great advances aided by pre-trainingapproaches such as BERT. However, currentpre-training techniques focus on building lan-guage modeling objectives to learn a gen-eral representation, ignoring the named entity-related knowledge. To this end, we proposea NER-specifi...
[ { "created": "Fri, 16 Oct 2020 07:39:20 GMT", "version": "v1" } ]
2020-10-29
[ [ "Xue", "Mengge", "" ], [ "Yu", "Bowen", "" ], [ "Zhang", "Zhenyu", "" ], [ "Liu", "Tingwen", "" ], [ "Zhang", "Yue", "" ], [ "Wang", "Bin", "" ] ]
More recently, Named Entity Recognition hasachieved great advances aided by pre-trainingapproaches such as BERT. However, currentpre-training techniques focus on building lan-guage modeling objectives to learn a gen-eral representation, ignoring the named entity-related knowledge. To this end, we proposea NER-specific ...
1708.08016
Viraj Mavani
Viraj Mavani, Shanmuganathan Raman, Krishna P Miyapuram
Facial Expression Recognition using Visual Saliency and Deep Learning
6 pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
We have developed a convolutional neural network for the purpose of recognizing facial expressions in human beings. We have fine-tuned the existing convolutional neural network model trained on the visual recognition dataset used in the ILSVRC2012 to two widely used facial expression datasets - CFEE and RaFD, which w...
[ { "created": "Sat, 26 Aug 2017 20:03:38 GMT", "version": "v1" } ]
2017-08-29
[ [ "Mavani", "Viraj", "" ], [ "Raman", "Shanmuganathan", "" ], [ "Miyapuram", "Krishna P", "" ] ]
We have developed a convolutional neural network for the purpose of recognizing facial expressions in human beings. We have fine-tuned the existing convolutional neural network model trained on the visual recognition dataset used in the ILSVRC2012 to two widely used facial expression datasets - CFEE and RaFD, which whe...
2209.06888
Ana Huaman Quispe
Ana Huam\'an Quispe and Stephen Hart and Seth Gee and Robert R. Burridge
ADAMANT: A Pipeline for Adaptable Manipulation Tasks
Preprint. In review
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper presents ADAMANT, a set of software modules that provides grasp planning capabilities to an existing robot planning and control software framework. Our presented work allows a user to adapt a manipulation task to be used under widely different scenarios with minimal user input, thus reducing the operator's...
[ { "created": "Wed, 14 Sep 2022 19:20:07 GMT", "version": "v1" } ]
2022-09-16
[ [ "Quispe", "Ana Huamán", "" ], [ "Hart", "Stephen", "" ], [ "Gee", "Seth", "" ], [ "Burridge", "Robert R.", "" ] ]
This paper presents ADAMANT, a set of software modules that provides grasp planning capabilities to an existing robot planning and control software framework. Our presented work allows a user to adapt a manipulation task to be used under widely different scenarios with minimal user input, thus reducing the operator's c...
2301.12305
Wilka Carvalho
Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak lee, and Satinder Singh
Composing Task Knowledge with Modular Successor Feature Approximators
Accepted to ICLR 2023
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recently, the Successor Features and Generalized Policy Improvement (SF&GPI) framework has been proposed as a method for learning, composing, and transferring predictive knowledge and behavior. SF&GPI works by having an agent learn predictive representations (SFs) that can be combined for transfer to new tasks with G...
[ { "created": "Sat, 28 Jan 2023 23:04:07 GMT", "version": "v1" }, { "created": "Fri, 25 Aug 2023 18:28:51 GMT", "version": "v2" } ]
2023-08-29
[ [ "Carvalho", "Wilka", "" ], [ "Filos", "Angelos", "" ], [ "Lewis", "Richard L.", "" ], [ "lee", "Honglak", "" ], [ "Singh", "Satinder", "" ] ]
Recently, the Successor Features and Generalized Policy Improvement (SF&GPI) framework has been proposed as a method for learning, composing, and transferring predictive knowledge and behavior. SF&GPI works by having an agent learn predictive representations (SFs) that can be combined for transfer to new tasks with GPI...
2106.09343
Dominik Mach\'a\v{c}ek
Dominik Mach\'a\v{c}ek, Mat\'u\v{s} \v{Z}ilinec, Ond\v{r}ej Bojar
Lost in Interpreting: Speech Translation from Source or Interpreter?
to be published at INTERSPEECH 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed. Automatic simultaneous speech translation can extend the set of provided languages. We investigate if such an automatic system should rather follow the original speaker, or an interpreter to achiev...
[ { "created": "Thu, 17 Jun 2021 09:32:49 GMT", "version": "v1" } ]
2021-06-18
[ [ "Macháček", "Dominik", "" ], [ "Žilinec", "Matúš", "" ], [ "Bojar", "Ondřej", "" ] ]
Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed. Automatic simultaneous speech translation can extend the set of provided languages. We investigate if such an automatic system should rather follow the original speaker, or an interpreter to achieve ...
2008.09336
Francesco Malandrino
Francesco Malandrino and Carla Fabiana Chiasserini and Gian Michele Dell'Aera
An Edge-powered Approach to Assisted Driving
GLOBECOM 2020
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automotive services for connected vehicles are one of the main fields of application for new-generation mobile networks as well as for the edge computing paradigm. In this paper, we investigate a system architecture that integrates the distributed vehicular network with the network edge, with the aim to optimize the ...
[ { "created": "Fri, 21 Aug 2020 07:03:15 GMT", "version": "v1" } ]
2020-08-24
[ [ "Malandrino", "Francesco", "" ], [ "Chiasserini", "Carla Fabiana", "" ], [ "Dell'Aera", "Gian Michele", "" ] ]
Automotive services for connected vehicles are one of the main fields of application for new-generation mobile networks as well as for the edge computing paradigm. In this paper, we investigate a system architecture that integrates the distributed vehicular network with the network edge, with the aim to optimize the ve...
2109.07864
Maksym Del
Maksym Del, Elizaveta Korotkova, Mark Fishel
Translation Transformers Rediscover Inherent Data Domains
Accepted at WMT21; 15 pages, 7 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Many works proposed methods to improve the performance of Neural Machine Translation (NMT) models in a domain/multi-domain adaptation scenario. However, an understanding of how NMT baselines represent text domain information internally is still lacking. Here we analyze the sentence representations learned by NMT Tran...
[ { "created": "Thu, 16 Sep 2021 10:58:13 GMT", "version": "v1" } ]
2021-09-17
[ [ "Del", "Maksym", "" ], [ "Korotkova", "Elizaveta", "" ], [ "Fishel", "Mark", "" ] ]
Many works proposed methods to improve the performance of Neural Machine Translation (NMT) models in a domain/multi-domain adaptation scenario. However, an understanding of how NMT baselines represent text domain information internally is still lacking. Here we analyze the sentence representations learned by NMT Transf...
2407.06947
Gijs Wijngaard
Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier
Audio-Language Datasets of Scenes and Events: A Survey
null
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Audio-language models (ALMs) process sounds to provide a linguistic description of sound-producing events and scenes. Recent advances in computing power and dataset creation have led to significant progress in this domain. This paper surveys existing datasets used for training audio-language models, emphasizing the r...
[ { "created": "Tue, 9 Jul 2024 15:23:35 GMT", "version": "v1" } ]
2024-07-10
[ [ "Wijngaard", "Gijs", "" ], [ "Formisano", "Elia", "" ], [ "Esposito", "Michele", "" ], [ "Dumontier", "Michel", "" ] ]
Audio-language models (ALMs) process sounds to provide a linguistic description of sound-producing events and scenes. Recent advances in computing power and dataset creation have led to significant progress in this domain. This paper surveys existing datasets used for training audio-language models, emphasizing the rec...
2002.07890
Yongyong Wei
Yongyong Wei, Rong Zheng
Informative Path Planning for Mobile Sensing with Reinforcement Learning
To appear at IEEE INFOCOM 2020
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale spatial data such as air quality, thermal conditions and location signatures play a vital role in a variety of applications. Collecting such data manually can be tedious and labour intensive. With the advancement of robotic technologies, it is feasible to automate such tasks using mobile robots with sensi...
[ { "created": "Tue, 18 Feb 2020 21:47:00 GMT", "version": "v1" } ]
2020-02-20
[ [ "Wei", "Yongyong", "" ], [ "Zheng", "Rong", "" ] ]
Large-scale spatial data such as air quality, thermal conditions and location signatures play a vital role in a variety of applications. Collecting such data manually can be tedious and labour intensive. With the advancement of robotic technologies, it is feasible to automate such tasks using mobile robots with sensing...
2009.08302
Pallavi Bagga
Pallavi Bagga, Nicola Paoletti and Kostas Stathis
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues
null
null
null
null
cs.MA cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel bilateral negotiation model that allows a self-interested agent to learn how to negotiate over multiple issues in the presence of user preference uncertainty. The model relies upon interpretable strategy templates representing the tactics the agent should employ during the negotiation and learns te...
[ { "created": "Thu, 17 Sep 2020 13:52:18 GMT", "version": "v1" }, { "created": "Fri, 7 Jan 2022 14:01:57 GMT", "version": "v2" } ]
2022-01-10
[ [ "Bagga", "Pallavi", "" ], [ "Paoletti", "Nicola", "" ], [ "Stathis", "Kostas", "" ] ]
We present a novel bilateral negotiation model that allows a self-interested agent to learn how to negotiate over multiple issues in the presence of user preference uncertainty. The model relies upon interpretable strategy templates representing the tactics the agent should employ during the negotiation and learns temp...
1907.13070
Telma Pereira
Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C.Madeira
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors
null
KDD 2019 Workshop on Applied Data Science for Healthcare
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by a rapid motor decline, leading to respiratory failure and subsequently to death. In this context, researchers have sought for models to automatically predict disease progression to assisted ventilation in ALS patients. However, the cl...
[ { "created": "Tue, 30 Jul 2019 16:55:29 GMT", "version": "v1" } ]
2019-07-31
[ [ "Pereira", "Telma", "" ], [ "Pires", "Sofia", "" ], [ "Gromicho", "Marta", "" ], [ "Pinto", "Susana", "" ], [ "de Carvalho", "Mamede", "" ], [ "Madeira", "Sara C.", "" ] ]
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by a rapid motor decline, leading to respiratory failure and subsequently to death. In this context, researchers have sought for models to automatically predict disease progression to assisted ventilation in ALS patients. However, the clin...
2303.02389
Yuxuan Duan
Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Accepted by AAAI 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performances of defect inspection have been severely hindered by insufficient defect images in industries, which can be alleviated by generating more samples as data augmentation. We propose the first defect image generation method in the challenging few-shot cases. Given just a handful of defect images and relat...
[ { "created": "Sat, 4 Mar 2023 11:43:08 GMT", "version": "v1" } ]
2023-03-07
[ [ "Duan", "Yuxuan", "" ], [ "Hong", "Yan", "" ], [ "Niu", "Li", "" ], [ "Zhang", "Liqing", "" ] ]
The performances of defect inspection have been severely hindered by insufficient defect images in industries, which can be alleviated by generating more samples as data augmentation. We propose the first defect image generation method in the challenging few-shot cases. Given just a handful of defect images and relativ...
2202.12777
Cristiano Politowski
Cristiano Politowski, Yann-Ga\"el Gu\'eh\'eneuc, Fabio Petrillo
Towards Automated Video Game Testing: Still a Long Way to Go
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the complexity and scope of game development increase, playtesting remains an essential activity to ensure the quality of video games. Yet, the manual, ad-hoc nature of playtesting gives space to improvements in the process. In this study, we investigate gaps between academic solutions in the literature for automa...
[ { "created": "Fri, 25 Feb 2022 15:49:29 GMT", "version": "v1" }, { "created": "Thu, 10 Mar 2022 19:51:28 GMT", "version": "v2" } ]
2022-03-14
[ [ "Politowski", "Cristiano", "" ], [ "Guéhéneuc", "Yann-Gaël", "" ], [ "Petrillo", "Fabio", "" ] ]
As the complexity and scope of game development increase, playtesting remains an essential activity to ensure the quality of video games. Yet, the manual, ad-hoc nature of playtesting gives space to improvements in the process. In this study, we investigate gaps between academic solutions in the literature for automate...
2111.08515
Kenneth Joseph
Kenneth Joseph, Benjamin D. Horne, Jon Green, John P. Wihbey
Local News Online and COVID in the U.S.: Relationships among Coverage, Cases, Deaths, and Audience
Accepted, ICWSM'22
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
We present analyses from a real-time information monitoring system of online local news in the U.S. We study relationships among online local news coverage of COVID, cases and deaths in an area, and properties of local news outlets and their audiences. Our analysis relies on a unique dataset of the online content of ...
[ { "created": "Tue, 16 Nov 2021 14:37:23 GMT", "version": "v1" } ]
2021-11-17
[ [ "Joseph", "Kenneth", "" ], [ "Horne", "Benjamin D.", "" ], [ "Green", "Jon", "" ], [ "Wihbey", "John P.", "" ] ]
We present analyses from a real-time information monitoring system of online local news in the U.S. We study relationships among online local news coverage of COVID, cases and deaths in an area, and properties of local news outlets and their audiences. Our analysis relies on a unique dataset of the online content of ov...
2003.06423
Divyam Aggarwal
Divyam Aggarwal, Dhish Kumar Saxena, Thomas B\"ack, Michael Emmerich
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
17 pages, 9 figures, manuscript submitted for review in a refereed journal
null
null
null
cs.AI math.CO math.OC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Crew pairing optimization (CPO) is critically important for any airline, since its crew operating costs are second-largest, next to the fuel-cost. CPO aims at generating a set of flight sequences (crew pairings) covering a flight-schedule, at minimum-cost, while satisfying several legality constraints. For large-scal...
[ { "created": "Sun, 15 Mar 2020 08:21:38 GMT", "version": "v1" } ]
2020-03-17
[ [ "Aggarwal", "Divyam", "" ], [ "Saxena", "Dhish Kumar", "" ], [ "Bäck", "Thomas", "" ], [ "Emmerich", "Michael", "" ] ]
Crew pairing optimization (CPO) is critically important for any airline, since its crew operating costs are second-largest, next to the fuel-cost. CPO aims at generating a set of flight sequences (crew pairings) covering a flight-schedule, at minimum-cost, while satisfying several legality constraints. For large-scale ...
2106.10777
Mengyu Dai
Mengyu Dai and Haibin Hang
Manifold Matching via Deep Metric Learning for Generative Modeling
ICCV 2021. Code available at https://github.com/dzld00/pytorch-manifold-matching.git
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We propose a manifold matching approach to generative models which includes a distribution generator (or data generator) and a metric generator. In our framework, we view the real data set as some manifold embedded in a high-dimensional Euclidean space. The distribution generator aims at generating samples that follo...
[ { "created": "Sun, 20 Jun 2021 23:25:01 GMT", "version": "v1" }, { "created": "Mon, 26 Jul 2021 03:36:54 GMT", "version": "v2" }, { "created": "Thu, 26 Aug 2021 23:00:22 GMT", "version": "v3" } ]
2021-08-30
[ [ "Dai", "Mengyu", "" ], [ "Hang", "Haibin", "" ] ]
We propose a manifold matching approach to generative models which includes a distribution generator (or data generator) and a metric generator. In our framework, we view the real data set as some manifold embedded in a high-dimensional Euclidean space. The distribution generator aims at generating samples that follow ...
1908.03190
Hayden Schaeffer
Yifan Sun, Linan Zhang, and Hayden Schaeffer
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a neural network based approach for extracting models from dynamic data using ordinary and partial differential equations. In particular, given a time-series or spatio-temporal dataset, we seek to identify an accurate governing system which respects the intrinsic differential structure. The unknown governi...
[ { "created": "Thu, 8 Aug 2019 17:50:22 GMT", "version": "v1" } ]
2019-08-09
[ [ "Sun", "Yifan", "" ], [ "Zhang", "Linan", "" ], [ "Schaeffer", "Hayden", "" ] ]
We propose a neural network based approach for extracting models from dynamic data using ordinary and partial differential equations. In particular, given a time-series or spatio-temporal dataset, we seek to identify an accurate governing system which respects the intrinsic differential structure. The unknown governing...
2012.09852
Hanrui Wang
Hanrui Wang and Zhekai Zhang and Song Han
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
Published as a conference paper in HPCA 2021; 15 pages, 23 figures
null
10.1109/HPCA51647.2021.00018
null
cs.AR cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
The attention mechanism is becoming increasingly popular in Natural Language Processing (NLP) applications, showing superior performance than convolutional and recurrent architectures. However, attention becomes the compution bottleneck because of its quadratic computational complexity to input length, complicated da...
[ { "created": "Thu, 17 Dec 2020 18:59:07 GMT", "version": "v1" }, { "created": "Mon, 4 Jan 2021 03:49:57 GMT", "version": "v2" }, { "created": "Thu, 18 Jul 2024 18:48:38 GMT", "version": "v3" } ]
2024-07-22
[ [ "Wang", "Hanrui", "" ], [ "Zhang", "Zhekai", "" ], [ "Han", "Song", "" ] ]
The attention mechanism is becoming increasingly popular in Natural Language Processing (NLP) applications, showing superior performance than convolutional and recurrent architectures. However, attention becomes the compution bottleneck because of its quadratic computational complexity to input length, complicated data...
2407.17399
S\'ebastien Herbreteau
S\'ebastien Herbreteau and Michael Unser
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Supervised deep learning has become the method of choice for image denoising. It involves the training of neural networks on large datasets composed of pairs of noisy and clean images. However, the necessity of training data that are specific to the targeted application constrains the widespread use of denoising netw...
[ { "created": "Wed, 24 Jul 2024 16:23:46 GMT", "version": "v1" } ]
2024-07-25
[ [ "Herbreteau", "Sébastien", "" ], [ "Unser", "Michael", "" ] ]
Supervised deep learning has become the method of choice for image denoising. It involves the training of neural networks on large datasets composed of pairs of noisy and clean images. However, the necessity of training data that are specific to the targeted application constrains the widespread use of denoising networ...
2405.01790
Olubusayo Olabisi
Olubusayo Olabisi and Ameeta Agrawal
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
Accepted at VarDial 2024
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Text summarization models have typically focused on optimizing aspects of quality such as fluency, relevance, and coherence, particularly in the context of news articles. However, summarization models are increasingly being used to summarize diverse sources of text, such as social media data, that encompass a wide de...
[ { "created": "Fri, 3 May 2024 00:19:31 GMT", "version": "v1" } ]
2024-05-06
[ [ "Olabisi", "Olubusayo", "" ], [ "Agrawal", "Ameeta", "" ] ]
Text summarization models have typically focused on optimizing aspects of quality such as fluency, relevance, and coherence, particularly in the context of news articles. However, summarization models are increasingly being used to summarize diverse sources of text, such as social media data, that encompass a wide demo...
2210.00563
Julia Balla
Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic
AI-Assisted Discovery of Quantitative and Formal Models in Social Science
19 pages, 4 figures
null
null
null
cs.SC cs.LG econ.EM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In social science, formal and quantitative models, such as ones describing economic growth and collective action, are used to formulate mechanistic explanations, provide predictions, and uncover questions about observed phenomena. Here, we demonstrate the use of a machine learning system to aid the discovery of symbo...
[ { "created": "Sun, 2 Oct 2022 16:25:47 GMT", "version": "v1" }, { "created": "Fri, 14 Oct 2022 13:29:26 GMT", "version": "v2" }, { "created": "Wed, 16 Aug 2023 17:45:13 GMT", "version": "v3" } ]
2023-08-17
[ [ "Balla", "Julia", "" ], [ "Huang", "Sihao", "" ], [ "Dugan", "Owen", "" ], [ "Dangovski", "Rumen", "" ], [ "Soljacic", "Marin", "" ] ]
In social science, formal and quantitative models, such as ones describing economic growth and collective action, are used to formulate mechanistic explanations, provide predictions, and uncover questions about observed phenomena. Here, we demonstrate the use of a machine learning system to aid the discovery of symboli...
1611.02112
Emanuel Kieronski
Bartosz Bednarczyk, Witold Charatonik and Emanuel Kiero\'nski
Extending Two-Variable Logic on Trees
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The finite satisfiability problem for the two-variable fragment of first-order logic interpreted over trees was recently shown to be ExpSpace-complete. We consider two extensions of this logic. We show that adding either additional binary symbols or counting quantifiers to the logic does not affect the complexity of ...
[ { "created": "Mon, 7 Nov 2016 15:30:35 GMT", "version": "v1" }, { "created": "Thu, 24 Nov 2016 12:37:20 GMT", "version": "v2" } ]
2016-11-28
[ [ "Bednarczyk", "Bartosz", "" ], [ "Charatonik", "Witold", "" ], [ "Kieroński", "Emanuel", "" ] ]
The finite satisfiability problem for the two-variable fragment of first-order logic interpreted over trees was recently shown to be ExpSpace-complete. We consider two extensions of this logic. We show that adding either additional binary symbols or counting quantifiers to the logic does not affect the complexity of th...
2011.06404
Rohit Chadha
Gilles Barthe and Rohit Chadha and Paul Krogmeier and A. Prasad Sistla and Mahesh Viswanathan
Deciding Accuracy of Differential Privacy Schemes
null
null
10.1145/3434289
null
cs.CR cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differential privacy is a mathematical framework for developing statistical computations with provable guarantees of privacy and accuracy. In contrast to the privacy component of differential privacy, which has a clear mathematical and intuitive meaning, the accuracy component of differential privacy does not have a ...
[ { "created": "Thu, 12 Nov 2020 14:17:51 GMT", "version": "v1" } ]
2020-11-13
[ [ "Barthe", "Gilles", "" ], [ "Chadha", "Rohit", "" ], [ "Krogmeier", "Paul", "" ], [ "Sistla", "A. Prasad", "" ], [ "Viswanathan", "Mahesh", "" ] ]
Differential privacy is a mathematical framework for developing statistical computations with provable guarantees of privacy and accuracy. In contrast to the privacy component of differential privacy, which has a clear mathematical and intuitive meaning, the accuracy component of differential privacy does not have a ge...
1610.05579
Fadoua Hassen
Fadoua Hassen and Lotfi Mhamdi
A Scalable Multi-Stage Packet-Switch for Data Center Networks
15 pages, 20 figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growing trends of data centers over last decades including social networking, cloud-based applications and storage technologies enabled many advances to take place in the networking area. Recent changes imply continuous demand for bandwidth to manage the large amount of packetized traffic. Cluster switches and ro...
[ { "created": "Sat, 24 Sep 2016 12:12:53 GMT", "version": "v1" } ]
2016-10-19
[ [ "Hassen", "Fadoua", "" ], [ "Mhamdi", "Lotfi", "" ] ]
The growing trends of data centers over last decades including social networking, cloud-based applications and storage technologies enabled many advances to take place in the networking area. Recent changes imply continuous demand for bandwidth to manage the large amount of packetized traffic. Cluster switches and rout...
2012.02029
Swati Padhee
Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L.Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Camera-ready paper accepted for publication at IEEE BIBM 2020
null
null
IEEE BIBM 2020 paper ID B686
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clinical research advances in brain aging have focused on the earliest clinically detectable stage of incipient dementia, commonly known as mil...
[ { "created": "Thu, 19 Nov 2020 02:24:11 GMT", "version": "v1" }, { "created": "Wed, 24 Feb 2021 14:42:59 GMT", "version": "v2" } ]
2021-02-25
[ [ "Padhee", "Swati", "" ], [ "Illendula", "Anurag", "" ], [ "Sadler", "Megan", "" ], [ "Shalin", "Valerie L.", "" ], [ "Banerjee", "Tanvi", "" ], [ "Thirunarayan", "Krishnaprasad", "" ], [ "Romine", "William L.",...
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clinical research advances in brain aging have focused on the earliest clinically detectable stage of incipient dementia, commonly known as mild ...
2407.03898
Shunqi Huang
Shunqi Huang, Lei Liu, and Brian M. Kurkoski
Overflow-Avoiding Memory AMP
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Approximate Message Passing (AMP) type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a principle called Memory AMP (MAMP) was proposed. Leveraging this principle, the gradient descent MAMP (GD-MAMP) algorithm was designed, inheriting the strengths of AMP and OAMP/V...
[ { "created": "Thu, 4 Jul 2024 12:44:03 GMT", "version": "v1" } ]
2024-07-08
[ [ "Huang", "Shunqi", "" ], [ "Liu", "Lei", "" ], [ "Kurkoski", "Brian M.", "" ] ]
Approximate Message Passing (AMP) type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a principle called Memory AMP (MAMP) was proposed. Leveraging this principle, the gradient descent MAMP (GD-MAMP) algorithm was designed, inheriting the strengths of AMP and OAMP/VAM...
0904.3093
Petteri Kaski
Andreas Bj\"orklund and Thore Husfeldt and Petteri Kaski and Mikko Koivisto
Counting Paths and Packings in Halves
null
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is shown that one can count $k$-edge paths in an $n$-vertex graph and $m$-set $k$-packings on an $n$-element universe, respectively, in time ${n \choose k/2}$ and ${n \choose mk/2}$, up to a factor polynomial in $n$, $k$, and $m$; in polynomial space, the bounds hold if multiplied by $3^{k/2}$ or $5^{mk/2}$, respe...
[ { "created": "Mon, 20 Apr 2009 19:46:39 GMT", "version": "v1" } ]
2009-04-21
[ [ "Björklund", "Andreas", "" ], [ "Husfeldt", "Thore", "" ], [ "Kaski", "Petteri", "" ], [ "Koivisto", "Mikko", "" ] ]
It is shown that one can count $k$-edge paths in an $n$-vertex graph and $m$-set $k$-packings on an $n$-element universe, respectively, in time ${n \choose k/2}$ and ${n \choose mk/2}$, up to a factor polynomial in $n$, $k$, and $m$; in polynomial space, the bounds hold if multiplied by $3^{k/2}$ or $5^{mk/2}$, respect...
2212.12686
B.Sundar Rajan
K. K. Krishnan Namboodiri and B. Sundar Rajan
Combinatorial Multi-Access Coded Caching: Improved Rate-Memory Trade-off with Coded Placement
To appear in IEEE Transactions on Information Theory. Some optimality gap results included. 19 pages, 2 tables and 5 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work considers the combinatorial multi-access coded caching problem introduced in the recent work by Muralidhar \textit{et al.} [P. N. Muralidhar, D. Katyal, and B. S. Rajan, ``Maddah-Ali-Niesen scheme for multi-access coded caching,'' in \textit{IEEE Inf. Theory Workshop (ITW)}, 2021] The problem setting consis...
[ { "created": "Sat, 24 Dec 2022 08:36:05 GMT", "version": "v1" }, { "created": "Wed, 17 Jan 2024 05:59:01 GMT", "version": "v2" } ]
2024-01-18
[ [ "Namboodiri", "K. K. Krishnan", "" ], [ "Rajan", "B. Sundar", "" ] ]
This work considers the combinatorial multi-access coded caching problem introduced in the recent work by Muralidhar \textit{et al.} [P. N. Muralidhar, D. Katyal, and B. S. Rajan, ``Maddah-Ali-Niesen scheme for multi-access coded caching,'' in \textit{IEEE Inf. Theory Workshop (ITW)}, 2021] The problem setting consists...
2407.00524
Artur Janicki
Mateusz Brzozowski and Artur Janicki
Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People -- a Case Study
6 pages, 4 figures
null
null
null
cs.CY cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
This article presents a case study demonstrating a non-intrusive method for the well-being monitoring of elderly people. It is based on our real-time energy measurement system, which uses tiny beacons attached to electricity meters. Four participants aged 67-82 years took part in our study. We observed their electric...
[ { "created": "Sat, 29 Jun 2024 20:03:50 GMT", "version": "v1" } ]
2024-07-02
[ [ "Brzozowski", "Mateusz", "" ], [ "Janicki", "Artur", "" ] ]
This article presents a case study demonstrating a non-intrusive method for the well-being monitoring of elderly people. It is based on our real-time energy measurement system, which uses tiny beacons attached to electricity meters. Four participants aged 67-82 years took part in our study. We observed their electric p...
1204.5652
Rakshith Rajashekar
Rakshith Rajashekar and K. V. S. Hari
ML Decoding Complexity Reduction in STBCs Using Time-Orthogonal Pulse Shaping
10 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the recent developments in the Space Shift Keying (SSK) and Spatial Modulation (SM) systems which employ Time-Orthogonal Pulse Shaping (TOPS) filters to achieve transmit diversity gains, we propose TOPS for Space-Time Block Codes (STBC). We show that any STBC whose set of weight matrices partitions into ...
[ { "created": "Wed, 25 Apr 2012 13:16:06 GMT", "version": "v1" } ]
2012-04-26
[ [ "Rajashekar", "Rakshith", "" ], [ "Hari", "K. V. S.", "" ] ]
Motivated by the recent developments in the Space Shift Keying (SSK) and Spatial Modulation (SM) systems which employ Time-Orthogonal Pulse Shaping (TOPS) filters to achieve transmit diversity gains, we propose TOPS for Space-Time Block Codes (STBC). We show that any STBC whose set of weight matrices partitions into P ...
2403.17331
Hao Wang
Ashish Bastola, Hao Wang, Xiwen Chen, Abolfazl Razi
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
null
null
null
null
cs.DC cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many AI platforms, including traffic monitoring systems, use Federated Learning (FL) for decentralized sensor data processing for learning-based applications while preserving privacy and ensuring secured information transfer. On the other hand, applying supervised learning to large data samples, like high-resolution ...
[ { "created": "Tue, 26 Mar 2024 02:30:50 GMT", "version": "v1" } ]
2024-03-27
[ [ "Bastola", "Ashish", "" ], [ "Wang", "Hao", "" ], [ "Chen", "Xiwen", "" ], [ "Razi", "Abolfazl", "" ] ]
Many AI platforms, including traffic monitoring systems, use Federated Learning (FL) for decentralized sensor data processing for learning-based applications while preserving privacy and ensuring secured information transfer. On the other hand, applying supervised learning to large data samples, like high-resolution im...
1206.6225
Saeid Abolfazli
Muhammad Shiraz, Saeid Abolfazli, Zohreh Sanaei, Abdullah Gani
Virtual Machine Migration: A Resource Intensive Outsourcing Mechanism for Mobile Cloud Computing
This article has been withdrawn by the author due to some copyright issues
Muhammad Shiraz, Saeid Abolfazli, Zohreh Sanaei, Abdullah Gani, Virtual Machine Migration: A Resource Intensive Outsourcing Mechanism for Mobile Cloud Computing. Archives DesSciences Journal, Vol.65, No.6, 2012. ISSN: 1661-464X
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Mobile Cloud Computing (MCC), Virtual Machine (VM) migration based process offloading is a dominant approach to enhance Smart Mobile Devices (SMDs). A challenging aspect of VM deployment is the additional computing resources usage in the deployment and management of VM which obliges computing resources for VM crea...
[ { "created": "Wed, 27 Jun 2012 10:23:14 GMT", "version": "v1" }, { "created": "Mon, 30 Jul 2012 10:51:08 GMT", "version": "v2" }, { "created": "Fri, 30 Nov 2012 01:18:13 GMT", "version": "v3" } ]
2012-12-03
[ [ "Shiraz", "Muhammad", "" ], [ "Abolfazli", "Saeid", "" ], [ "Sanaei", "Zohreh", "" ], [ "Gani", "Abdullah", "" ] ]
In Mobile Cloud Computing (MCC), Virtual Machine (VM) migration based process offloading is a dominant approach to enhance Smart Mobile Devices (SMDs). A challenging aspect of VM deployment is the additional computing resources usage in the deployment and management of VM which obliges computing resources for VM creati...
2212.07614
Gang Wang
Gang Wang
Power Allocation in Two-way Relaying Networks
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
In this paper, we study relay selection and power allocation in two-way relaying networks consisting of a source, a destination and multiply half-duplex decode-and-forward (DF) relays. A transmission model with three time subslots is purposely introduced. In the first subslot, selected relay applies time-switching pr...
[ { "created": "Thu, 15 Dec 2022 04:35:25 GMT", "version": "v1" } ]
2022-12-16
[ [ "Wang", "Gang", "" ] ]
In this paper, we study relay selection and power allocation in two-way relaying networks consisting of a source, a destination and multiply half-duplex decode-and-forward (DF) relays. A transmission model with three time subslots is purposely introduced. In the first subslot, selected relay applies time-switching prot...
2104.05808
George Kesidis
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, and George Kesidis
A Backdoor Attack against 3D Point Cloud Classifiers
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vulnerability of 3D point cloud (PC) classifiers has become a grave concern due to the popularity of 3D sensors in safety-critical applications. Existing adversarial attacks against 3D PC classifiers are all test-time evasion (TTE) attacks that aim to induce test-time misclassifications using knowledge of the classif...
[ { "created": "Mon, 12 Apr 2021 20:47:48 GMT", "version": "v1" } ]
2021-04-14
[ [ "Xiang", "Zhen", "" ], [ "Miller", "David J.", "" ], [ "Chen", "Siheng", "" ], [ "Li", "Xi", "" ], [ "Kesidis", "George", "" ] ]
Vulnerability of 3D point cloud (PC) classifiers has become a grave concern due to the popularity of 3D sensors in safety-critical applications. Existing adversarial attacks against 3D PC classifiers are all test-time evasion (TTE) attacks that aim to induce test-time misclassifications using knowledge of the classifie...
1907.04713
Riccardo Aragona
Riccardo Aragona, Francesca Marzi, Filippo Mignosi, Matteo Spezialetti
Entropy and Compression: A simple proof of an inequality of Khinchin-Ornstein-Shields
Compared to version 1, in version 2 we added a simpler proof than the one given by Shields of a more general theorem (Theorem 4, pg. 7) presented by Ornstein and Shields. Consequently we also modified the title of the paper. In version 3 we have reordered the sections of the paper, simplified the proof of Theor...
Problems of Information Transmission, Vo.l 56 No. 1, 2020. A view-only published version here: https://rdcu.be/b3Cco
10.1134/S0032946020010020
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper concerns the folklore statement that ``entropy is a lower bound for compression''. More precisely we derive from the entropy theorem a simple proof of a pointwise inequality firstly stated by Ornstein and Shields and which is the almost-sure version of an average inequality firstly stated by Khinchin in 19...
[ { "created": "Wed, 10 Jul 2019 13:34:13 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2019 08:48:00 GMT", "version": "v2" }, { "created": "Thu, 29 Aug 2019 15:13:17 GMT", "version": "v3" }, { "created": "Wed, 22 Apr 2020 16:28:47 GMT", "version": "v4" } ]
2022-05-25
[ [ "Aragona", "Riccardo", "" ], [ "Marzi", "Francesca", "" ], [ "Mignosi", "Filippo", "" ], [ "Spezialetti", "Matteo", "" ] ]
This paper concerns the folklore statement that ``entropy is a lower bound for compression''. More precisely we derive from the entropy theorem a simple proof of a pointwise inequality firstly stated by Ornstein and Shields and which is the almost-sure version of an average inequality firstly stated by Khinchin in 1953...
2308.08717
Jianzong Wang
Liang Wang, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Kaiyu Hu, Guilin Jiang, Jing Xiao
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Accepted by 30th International Conference on Neural Information Processing (ICONIP 2023)
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually resource-constrained, edge deep neural networks (DNNs) have fewer weights and shallower architectures than general DNNs. As a result, they only perform well in limited scenarios and are sensitive to dat...
[ { "created": "Thu, 17 Aug 2023 00:49:44 GMT", "version": "v1" } ]
2023-08-21
[ [ "Wang", "Liang", "" ], [ "Zhang", "Nan", "" ], [ "Qu", "Xiaoyang", "" ], [ "Wang", "Jianzong", "" ], [ "Wan", "Jiguang", "" ], [ "Li", "Guokuan", "" ], [ "Hu", "Kaiyu", "" ], [ "Jiang", "Guilin"...
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually resource-constrained, edge deep neural networks (DNNs) have fewer weights and shallower architectures than general DNNs. As a result, they only perform well in limited scenarios and are sensitive to data ...
1310.6808
Dr. Mohammad Shahidul Islam
Mohammad shahidul Islam
Gender Classification Using Gradient Direction Pattern
3 pages, 5 figures, 3 tables, SCI journal
Sci.Int(Lahore),25(4),797-799,2013 ISSN 1013-5316; CODEN: SINTE 8
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity difference. The facial area is divided into sub-regions and GDP histogram extracted from those regions are concatenated into a single vector to represent the face. The c...
[ { "created": "Fri, 25 Oct 2013 02:37:44 GMT", "version": "v1" } ]
2013-10-28
[ [ "Islam", "Mohammad shahidul", "" ] ]
A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity difference. The facial area is divided into sub-regions and GDP histogram extracted from those regions are concatenated into a single vector to represent the face. The cla...
2011.13300
Segev Wasserkrug
Segev Wasserkrug and Eitan Farchi
A Game Theoretic Model for Strategic Coopetition in Business Networks
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Private blockchain is driving the creation of business networks, resulting in the creation of new value or new business models to the enterprises participating in the network. Such business networks form when enterprises come together to derive value through a network which is greater than the value that can be deriv...
[ { "created": "Thu, 26 Nov 2020 14:06:13 GMT", "version": "v1" } ]
2020-12-09
[ [ "Wasserkrug", "Segev", "" ], [ "Farchi", "Eitan", "" ] ]
Private blockchain is driving the creation of business networks, resulting in the creation of new value or new business models to the enterprises participating in the network. Such business networks form when enterprises come together to derive value through a network which is greater than the value that can be derived...
2112.01708
Ashkan Pourkand
Ruisi Zhang and Ashkan Pourkand
Emergency-braking Distance Prediction using Deep Learning
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Predicting emergency-braking distance is important for the collision avoidance related features, which are the most essential and popular safety features for vehicles. In this study, we first gathered a large data set including a three-dimensional acceleration data and the corresponding emergency-braking distance. Us...
[ { "created": "Fri, 3 Dec 2021 04:36:14 GMT", "version": "v1" } ]
2021-12-06
[ [ "Zhang", "Ruisi", "" ], [ "Pourkand", "Ashkan", "" ] ]
Predicting emergency-braking distance is important for the collision avoidance related features, which are the most essential and popular safety features for vehicles. In this study, we first gathered a large data set including a three-dimensional acceleration data and the corresponding emergency-braking distance. Usin...
2109.00805
Ruicong Huang
Ruicong Huang
Brief View and Analysis to Latest Android Security Issues and Approaches
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Due to the continuous improvement of performance and functions, Android remains the most popular operating system on mobile phone today. However, various malicious applications bring great threats to the system. Over the past few years, significant changes occured in both malwares and counter measures. Specifically, ...
[ { "created": "Thu, 2 Sep 2021 09:34:11 GMT", "version": "v1" } ]
2021-09-03
[ [ "Huang", "Ruicong", "" ] ]
Due to the continuous improvement of performance and functions, Android remains the most popular operating system on mobile phone today. However, various malicious applications bring great threats to the system. Over the past few years, significant changes occured in both malwares and counter measures. Specifically, ma...
1803.10553
Takashi Ikegawa
Takashi Ikegawa
Effect of payload size on mean response time when message segmentations occur using $\rm{M}^{\rm X}/\rm{G}/1$ queueing model
null
null
null
null
cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes the $\rm{M}^{\rm X}/\rm{G}/1$ queueing model to represent arrivals of segmented packets when message segmentations occur. This queueing model enables us to derive the closed form of mean response time, given payload size, message size distribution and message arrival rate. From a numerical result,...
[ { "created": "Wed, 28 Mar 2018 12:10:26 GMT", "version": "v1" } ]
2018-03-29
[ [ "Ikegawa", "Takashi", "" ] ]
This paper proposes the $\rm{M}^{\rm X}/\rm{G}/1$ queueing model to represent arrivals of segmented packets when message segmentations occur. This queueing model enables us to derive the closed form of mean response time, given payload size, message size distribution and message arrival rate. From a numerical result, w...
1809.06131
Bowen Cheng
Bowen Cheng, Rong Xiao, Yandong Guo, Yuxiao Hu, Jianfeng Wang, Lei Zhang
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition
tech report
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross entropy loss), which is widely used in deep neural network (DNN) models for classification problems. As logistic regression is widely known not having a closed-form solut...
[ { "created": "Mon, 17 Sep 2018 11:23:33 GMT", "version": "v1" } ]
2018-09-18
[ [ "Cheng", "Bowen", "" ], [ "Xiao", "Rong", "" ], [ "Guo", "Yandong", "" ], [ "Hu", "Yuxiao", "" ], [ "Wang", "Jianfeng", "" ], [ "Zhang", "Lei", "" ] ]
We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross entropy loss), which is widely used in deep neural network (DNN) models for classification problems. As logistic regression is widely known not having a closed-form solutio...
2111.02295
Andreas Emil Feldmann
Andreas Emil Feldmann, Anish Mukherjee, Erik Jan van Leeuwen
The Parameterized Complexity of the Survivable Network Design Problem
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by-sa/4.0/
For the well-known Survivable Network Design Problem (SNDP) we are given an undirected graph $G$ with edge costs, a set $R$ of terminal vertices, and an integer demand $d_{s,t}$ for every terminal pair $s,t\in R$. The task is to compute a subgraph $H$ of $G$ of minimum cost, such that there are at least $d_{s,t}$ dis...
[ { "created": "Wed, 3 Nov 2021 15:28:29 GMT", "version": "v1" }, { "created": "Tue, 25 Oct 2022 13:17:13 GMT", "version": "v2" }, { "created": "Mon, 31 Oct 2022 16:14:43 GMT", "version": "v3" }, { "created": "Tue, 8 Nov 2022 10:06:01 GMT", "version": "v4" } ]
2022-11-09
[ [ "Feldmann", "Andreas Emil", "" ], [ "Mukherjee", "Anish", "" ], [ "van Leeuwen", "Erik Jan", "" ] ]
For the well-known Survivable Network Design Problem (SNDP) we are given an undirected graph $G$ with edge costs, a set $R$ of terminal vertices, and an integer demand $d_{s,t}$ for every terminal pair $s,t\in R$. The task is to compute a subgraph $H$ of $G$ of minimum cost, such that there are at least $d_{s,t}$ disjo...
2109.10397
Andrey Kutuzov
Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova
Grammatical Profiling for Semantic Change Detection
CoNLL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Semantics, morphology and syntax are strongly interdependent. However, the majority of computational methods for semantic change detection use distributional word representations which encode mostly semantics. We investigate an alternative method, grammatical profiling, based entirely on changes in the morphosyntacti...
[ { "created": "Tue, 21 Sep 2021 18:38:18 GMT", "version": "v1" } ]
2021-09-23
[ [ "Giulianelli", "Mario", "" ], [ "Kutuzov", "Andrey", "" ], [ "Pivovarova", "Lidia", "" ] ]
Semantics, morphology and syntax are strongly interdependent. However, the majority of computational methods for semantic change detection use distributional word representations which encode mostly semantics. We investigate an alternative method, grammatical profiling, based entirely on changes in the morphosyntactic ...
2201.10485
Tobias Kapp\'e
Jana Wagemaker and Nate Foster and Tobias Kapp\'e and Dexter Kozen and Jurriaan Rot and Alexandra Silva
Concurrent NetKAT: Modeling and analyzing stateful, concurrent networks
null
Proc. ESOP 2022, pp 575-602
10.1007/978-3-030-99336-8_21
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
We introduce Concurrent NetKAT (CNetKAT), an extension of NetKAT with operators for specifying and reasoning about concurrency in scenarios where multiple packets interact through state. We provide a model of the language based on partially-ordered multisets (pomsets), which are a well-established mathematical struct...
[ { "created": "Tue, 25 Jan 2022 17:27:22 GMT", "version": "v1" }, { "created": "Mon, 31 Jan 2022 09:37:53 GMT", "version": "v2" }, { "created": "Tue, 12 Jul 2022 09:12:42 GMT", "version": "v3" } ]
2023-02-03
[ [ "Wagemaker", "Jana", "" ], [ "Foster", "Nate", "" ], [ "Kappé", "Tobias", "" ], [ "Kozen", "Dexter", "" ], [ "Rot", "Jurriaan", "" ], [ "Silva", "Alexandra", "" ] ]
We introduce Concurrent NetKAT (CNetKAT), an extension of NetKAT with operators for specifying and reasoning about concurrency in scenarios where multiple packets interact through state. We provide a model of the language based on partially-ordered multisets (pomsets), which are a well-established mathematical structur...
2405.01494
Mat\'ias Mendieta
Matias Mendieta, Guangyu Sun, Chen Chen
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
null
null
null
null
cs.CV cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) enables multiple clients to train models collectively while preserving data privacy. However, FL faces challenges in terms of communication cost and data heterogeneity. One-shot federated learning has emerged as a solution by reducing communication rounds, improving efficiency, and providing b...
[ { "created": "Thu, 2 May 2024 17:26:52 GMT", "version": "v1" } ]
2024-05-03
[ [ "Mendieta", "Matias", "" ], [ "Sun", "Guangyu", "" ], [ "Chen", "Chen", "" ] ]
Federated learning (FL) enables multiple clients to train models collectively while preserving data privacy. However, FL faces challenges in terms of communication cost and data heterogeneity. One-shot federated learning has emerged as a solution by reducing communication rounds, improving efficiency, and providing bet...
2407.07710
Huawei Wu
Sihem Mesnager and Huawei Wu
On the differential and Walsh spectra of $x^{2q+1}$ over $\mathbb{F}_{q^2}$
null
null
null
null
cs.CR cs.IT math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $q$ be an odd prime power and let $\mathbb{F}_{q^2}$ be the finite field with $q^2$ elements. In this paper, we determine the differential spectrum of the power function $F(x)=x^{2q+1}$ over $\mathbb{F}_{q^2}$. When the characteristic of $\mathbb{F}_{q^2}$ is $3$, we also determine the value distribution of the W...
[ { "created": "Mon, 8 Jul 2024 14:01:06 GMT", "version": "v1" } ]
2024-07-11
[ [ "Mesnager", "Sihem", "" ], [ "Wu", "Huawei", "" ] ]
Let $q$ be an odd prime power and let $\mathbb{F}_{q^2}$ be the finite field with $q^2$ elements. In this paper, we determine the differential spectrum of the power function $F(x)=x^{2q+1}$ over $\mathbb{F}_{q^2}$. When the characteristic of $\mathbb{F}_{q^2}$ is $3$, we also determine the value distribution of the Wal...
1511.04557
Lionel Arend
Lionel Arend, Jens Krause, Michel Marso, Ray Sperber
Four-dimensional signalling schemes - Application to satellite communications
14 pages, 9 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In satellite communications both polarizations of an electromagnetic wave are used to transmit two separate signals. These two independent signals can be merged to form one dual-polarization, four-dimensional signal. The present article pursues this idea and proposes different signal constellations to be used for f...
[ { "created": "Sat, 14 Nov 2015 12:55:03 GMT", "version": "v1" } ]
2015-11-17
[ [ "Arend", "Lionel", "" ], [ "Krause", "Jens", "" ], [ "Marso", "Michel", "" ], [ "Sperber", "Ray", "" ] ]
In satellite communications both polarizations of an electromagnetic wave are used to transmit two separate signals. These two independent signals can be merged to form one dual-polarization, four-dimensional signal. The present article pursues this idea and proposes different signal constellations to be used for four-...
2401.09716
Guanglin Zhou
Guanglin Zhou and Zhongyi Han and Shiming Chen and Biwei Huang and Liming Zhu and Tongliang Liu and Lina Yao and Kun Zhang
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Domain Generalization (DG) endeavors to create machine learning models that excel in unseen scenarios by learning invariant features. In DG, the prevalent practice of constraining models to a fixed structure or uniform parameterization to encapsulate invariant features can inadvertently blend specific aspects. Such a...
[ { "created": "Thu, 18 Jan 2024 04:23:21 GMT", "version": "v1" } ]
2024-01-19
[ [ "Zhou", "Guanglin", "" ], [ "Han", "Zhongyi", "" ], [ "Chen", "Shiming", "" ], [ "Huang", "Biwei", "" ], [ "Zhu", "Liming", "" ], [ "Liu", "Tongliang", "" ], [ "Yao", "Lina", "" ], [ "Zhang", "K...
Domain Generalization (DG) endeavors to create machine learning models that excel in unseen scenarios by learning invariant features. In DG, the prevalent practice of constraining models to a fixed structure or uniform parameterization to encapsulate invariant features can inadvertently blend specific aspects. Such an ...
2308.12751
Paul Starke
Paul Starke, Sebastian Starke, Taku Komura, Frank Steinicke
Motion In-Betweening with Phase Manifolds
17 pages, 11 figures, conference
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA), August 4-6, 2023, Los Angeles, CA, USA
10.1145/3606921
null
cs.GR cs.AI cs.LG cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper introduces a novel data-driven motion in-betweening system to reach target poses of characters by making use of phases variables learned by a Periodic Autoencoder. Our approach utilizes a mixture-of-experts neural network model, in which the phases cluster movements in both space and time with different ex...
[ { "created": "Thu, 24 Aug 2023 12:56:39 GMT", "version": "v1" } ]
2023-08-25
[ [ "Starke", "Paul", "" ], [ "Starke", "Sebastian", "" ], [ "Komura", "Taku", "" ], [ "Steinicke", "Frank", "" ] ]
This paper introduces a novel data-driven motion in-betweening system to reach target poses of characters by making use of phases variables learned by a Periodic Autoencoder. Our approach utilizes a mixture-of-experts neural network model, in which the phases cluster movements in both space and time with different expe...
1809.04772
EPTCS
Ant\'onio Ravara (NOVA LINCS and Dep of Informatics, FCT, NOVA University of Lisbon)
A Simple Functional Presentation and an Inductive Correctness Proof of the Horn Algorithm
In Proceedings HCVS 2018, arXiv:1809.04554
EPTCS 278, 2018, pp. 34-48
10.4204/EPTCS.278.6
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a recursive formulation of the Horn algorithm for deciding the satisfiability of propositional clauses. The usual presentations in imperative pseudo-code are informal and not suitable for simple proofs of its main properties. By defining the algorithm as a recursive function (computing a least fixed-point)...
[ { "created": "Thu, 13 Sep 2018 04:49:05 GMT", "version": "v1" } ]
2018-09-14
[ [ "Ravara", "António", "", "NOVA LINCS and Dep of Informatics, FCT, NOVA\n University of Lisbon" ] ]
We present a recursive formulation of the Horn algorithm for deciding the satisfiability of propositional clauses. The usual presentations in imperative pseudo-code are informal and not suitable for simple proofs of its main properties. By defining the algorithm as a recursive function (computing a least fixed-point), ...
2102.13062
Ryan Killick
J. Czyzowicz and S. Dobrev and R. Killick and E. Kranakis and D. Krizanc and L. Narayanan and J. Opatrny and D. Pankratov and S. Shende
Graph Exploration by Energy-Sharing Mobile Agents
21 pages, 4 figures, full version of the paper appearing in the proceedings of SIROCCO 2021
null
null
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
We consider the problem of collective exploration of a known $n$-node edge-weighted graph by $k$ mobile agents that have limited energy but are capable of energy transfers. The agents are initially placed at an arbitrary subset of nodes in the graph, and each agent has an initial, possibly different, amount of energy...
[ { "created": "Thu, 25 Feb 2021 18:15:00 GMT", "version": "v1" } ]
2021-02-26
[ [ "Czyzowicz", "J.", "" ], [ "Dobrev", "S.", "" ], [ "Killick", "R.", "" ], [ "Kranakis", "E.", "" ], [ "Krizanc", "D.", "" ], [ "Narayanan", "L.", "" ], [ "Opatrny", "J.", "" ], [ "Pankratov", "D...
We consider the problem of collective exploration of a known $n$-node edge-weighted graph by $k$ mobile agents that have limited energy but are capable of energy transfers. The agents are initially placed at an arbitrary subset of nodes in the graph, and each agent has an initial, possibly different, amount of energy. ...
2307.10004
Xidong Wang
Ye Ouyang, Yaqin Zhang, Peng Wang, Yunxin Liu, Wen Qiao, Jun Zhu, Yang Liu, Feng Zhang, Shuling Wang, Xidong Wang
6G Network Business Support System
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional perception, global coverage, green and low-carbon, native network security, etc. 6G will realize the transition from serving people and people-th...
[ { "created": "Wed, 19 Jul 2023 14:38:30 GMT", "version": "v1" } ]
2023-07-20
[ [ "Ouyang", "Ye", "" ], [ "Zhang", "Yaqin", "" ], [ "Wang", "Peng", "" ], [ "Liu", "Yunxin", "" ], [ "Qiao", "Wen", "" ], [ "Zhu", "Jun", "" ], [ "Liu", "Yang", "" ], [ "Zhang", "Feng", "" ]...
6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional perception, global coverage, green and low-carbon, native network security, etc. 6G will realize the transition from serving people and people-thin...