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1011.6656
Ivana Tosic
Ivana Tosic, Bruno A. Olshausen and Benjamin J. Culpepper
Learning sparse representations of depth
12 pages
null
10.1109/JSTSP.2011.2158063
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a new method for learning and inferring sparse representations of depth (disparity) maps. The proposed algorithm relaxes the usual assumption of the stationary noise model in sparse coding. This enables learning from data corrupted with spatially varying noise or uncertainty, typically obtained ...
[ { "created": "Tue, 30 Nov 2010 19:55:21 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2011 18:40:24 GMT", "version": "v2" } ]
2015-05-20
[ [ "Tosic", "Ivana", "" ], [ "Olshausen", "Bruno A.", "" ], [ "Culpepper", "Benjamin J.", "" ] ]
This paper introduces a new method for learning and inferring sparse representations of depth (disparity) maps. The proposed algorithm relaxes the usual assumption of the stationary noise model in sparse coding. This enables learning from data corrupted with spatially varying noise or uncertainty, typically obtained by...
2010.15524
Iztok Fister
Iztok Fister Jr., Iztok Fister
A brief overview of swarm intelligence-based algorithms for numerical association rule mining
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Numerical Association Rule Mining is a popular variant of Association Rule Mining, where numerical attributes are handled without discretization. This means that the algorithms for dealing with this problem can operate directly, not only with categorical, but also with numerical attributes. Until recently, a big port...
[ { "created": "Thu, 29 Oct 2020 12:44:15 GMT", "version": "v1" } ]
2020-10-30
[ [ "Fister", "Iztok", "Jr." ], [ "Fister", "Iztok", "" ] ]
Numerical Association Rule Mining is a popular variant of Association Rule Mining, where numerical attributes are handled without discretization. This means that the algorithms for dealing with this problem can operate directly, not only with categorical, but also with numerical attributes. Until recently, a big portio...
1206.1422
Gabriel Nivasch
Gabriel Nivasch, J\'anos Pach and G\'abor Tardos
The visible perimeter of an arrangement of disks
12 pages, 5 figures
Computational Geometry: Theory and Applications, 47:42-51, 2014
10.1016/j.comgeo.2013.08.006
null
cs.CG cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a collection of n opaque unit disks in the plane, we want to find a stacking order for them that maximizes their visible perimeter---the total length of all pieces of their boundaries visible from above. We prove that if the centers of the disks form a dense point set, i.e., the ratio of their maximum to their ...
[ { "created": "Thu, 7 Jun 2012 08:28:04 GMT", "version": "v1" }, { "created": "Sat, 14 Sep 2013 19:05:36 GMT", "version": "v2" } ]
2013-09-17
[ [ "Nivasch", "Gabriel", "" ], [ "Pach", "János", "" ], [ "Tardos", "Gábor", "" ] ]
Given a collection of n opaque unit disks in the plane, we want to find a stacking order for them that maximizes their visible perimeter---the total length of all pieces of their boundaries visible from above. We prove that if the centers of the disks form a dense point set, i.e., the ratio of their maximum to their mi...
2009.13211
Eoin Delaney
Eoin Delaney, Derek Greene, Mark T. Keane
Instance-based Counterfactual Explanations for Time Series Classification
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, there has been a rapidly expanding focus on explaining the predictions made by black-box AI systems that handle image and tabular data. However, considerably less attention has been paid to explaining the predictions of opaque AI systems handling time series data. In this paper, we advance a novel mo...
[ { "created": "Mon, 28 Sep 2020 10:52:48 GMT", "version": "v1" }, { "created": "Thu, 24 Jun 2021 13:46:51 GMT", "version": "v2" } ]
2021-06-25
[ [ "Delaney", "Eoin", "" ], [ "Greene", "Derek", "" ], [ "Keane", "Mark T.", "" ] ]
In recent years, there has been a rapidly expanding focus on explaining the predictions made by black-box AI systems that handle image and tabular data. However, considerably less attention has been paid to explaining the predictions of opaque AI systems handling time series data. In this paper, we advance a novel mode...
2407.09736
Jacob Morrier
Jacob Morrier, Amine Mahmassani and R. Michael Alvarez
Uncovering the Effect of Toxicity on Player Engagement and its Propagation in Competitive Online Video Games
null
null
null
null
cs.HC econ.GN q-fin.EC
http://creativecommons.org/licenses/by-nc-nd/4.0/
This article seeks to provide accurate estimates of the causal effect of exposure to toxic language on player engagement and the proliferation of toxic language. To this end, we analyze proprietary data from the first-person action video game Call of Duty: Modern Warfare III, published by Activision. To overcome caus...
[ { "created": "Sat, 13 Jul 2024 01:09:58 GMT", "version": "v1" } ]
2024-07-16
[ [ "Morrier", "Jacob", "" ], [ "Mahmassani", "Amine", "" ], [ "Alvarez", "R. Michael", "" ] ]
This article seeks to provide accurate estimates of the causal effect of exposure to toxic language on player engagement and the proliferation of toxic language. To this end, we analyze proprietary data from the first-person action video game Call of Duty: Modern Warfare III, published by Activision. To overcome causal...
2406.10312
Yang Hu
Yang Hu
In-depth analysis of recall initiators of medical devices with a Machine Learning-Natural language Processing workflow
The Second version of the manuscript
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recall initiator identification and assessment are the preliminary steps to prevent medical device recall. Conventional analysis tools are inappropriate for processing massive and multi-formatted data comprehensively and completely to meet the higher expectations of delicacy management with the increasing overall dat...
[ { "created": "Fri, 14 Jun 2024 12:38:49 GMT", "version": "v1" } ]
2024-06-18
[ [ "Hu", "Yang", "" ] ]
Recall initiator identification and assessment are the preliminary steps to prevent medical device recall. Conventional analysis tools are inappropriate for processing massive and multi-formatted data comprehensively and completely to meet the higher expectations of delicacy management with the increasing overall data ...
2306.08577
Muhammad Umar Farooq
Muhammad Umar Farooq, Thomas Hain
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition
Accepted for Interspeech 2023
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Exploiting cross-lingual resources is an effective way to compensate for data scarcity of low resource languages. Recently, a novel multilingual model fusion technique has been proposed where a model is trained to learn cross-lingual acoustic-phonetic similarities as a mapping function. However, handcrafted lexicons ...
[ { "created": "Wed, 14 Jun 2023 15:24:31 GMT", "version": "v1" } ]
2023-06-16
[ [ "Farooq", "Muhammad Umar", "" ], [ "Hain", "Thomas", "" ] ]
Exploiting cross-lingual resources is an effective way to compensate for data scarcity of low resource languages. Recently, a novel multilingual model fusion technique has been proposed where a model is trained to learn cross-lingual acoustic-phonetic similarities as a mapping function. However, handcrafted lexicons ha...
2201.02923
Alexander Cao
Alexander Cao, Diego Klabjan and Yuan Luo
Open-Set Recognition of Breast Cancer Treatments
22 pages, 9 figures and 9 tables
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open-set recognition generalizes a classification task by classifying test samples as one of the known classes from training or "unknown." As novel cancer drug cocktails with improved treatment are continually discovered, predicting cancer treatments can naturally be formulated in terms of an open-set recognition pro...
[ { "created": "Sun, 9 Jan 2022 04:35:55 GMT", "version": "v1" } ]
2022-01-11
[ [ "Cao", "Alexander", "" ], [ "Klabjan", "Diego", "" ], [ "Luo", "Yuan", "" ] ]
Open-set recognition generalizes a classification task by classifying test samples as one of the known classes from training or "unknown." As novel cancer drug cocktails with improved treatment are continually discovered, predicting cancer treatments can naturally be formulated in terms of an open-set recognition probl...
2309.06955
Xiao Gao
Xiao Gao, Kunpeng Yao, Farshad Khadivar, and Aude Billard
Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multi-Fingered In-Hand Manipulation
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dexterous in-hand manipulation in robotics, particularly with multi-fingered robotic hands, poses significant challenges due to the intricate avoidance of collisions among fingers and the object being manipulated. Collision-free paths for all fingers must be generated in real-time, as the rapid changes in hand and fi...
[ { "created": "Wed, 13 Sep 2023 13:41:34 GMT", "version": "v1" }, { "created": "Tue, 25 Jun 2024 09:20:13 GMT", "version": "v2" }, { "created": "Mon, 8 Jul 2024 14:17:29 GMT", "version": "v3" } ]
2024-07-09
[ [ "Gao", "Xiao", "" ], [ "Yao", "Kunpeng", "" ], [ "Khadivar", "Farshad", "" ], [ "Billard", "Aude", "" ] ]
Dexterous in-hand manipulation in robotics, particularly with multi-fingered robotic hands, poses significant challenges due to the intricate avoidance of collisions among fingers and the object being manipulated. Collision-free paths for all fingers must be generated in real-time, as the rapid changes in hand and fing...
2210.04597
Tim Hulsen
Tim Hulsen
DeepVenn -- a web application for the creation of area-proportional Venn diagrams using the deep learning framework Tensorflow.js
2 pages, 1 figure
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Motivation: The Venn diagram is one of the most popular methods to visualize the overlap and differences between data sets. It is especially useful when it is are 'area-proportional'; i.e. the sizes of the circles and the overlaps are proportional to the sizes of the data sets. There are some tools available that can...
[ { "created": "Tue, 27 Sep 2022 16:00:06 GMT", "version": "v1" } ]
2022-10-11
[ [ "Hulsen", "Tim", "" ] ]
Motivation: The Venn diagram is one of the most popular methods to visualize the overlap and differences between data sets. It is especially useful when it is are 'area-proportional'; i.e. the sizes of the circles and the overlaps are proportional to the sizes of the data sets. There are some tools available that can g...
2304.12026
Haolan Zhan
Haolan Zhan and Zhuang Li and Yufei Wang and Linhao Luo and Tao Feng and Xiaoxi Kang and Yuncheng Hua and Lizhen Qu and Lay-Ki Soon and Suraj Sharma and Ingrid Zukerman and Zhaleh Semnani-Azad and Gholamreza Haffari
SocialDial: A Benchmark for Socially-Aware Dialogue Systems
Accepted by SIGIR 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current dialogue systems have access to more knowledge than any people in their life. However, current dialogue systems still do not perform at a ...
[ { "created": "Mon, 24 Apr 2023 11:55:22 GMT", "version": "v1" } ]
2023-04-25
[ [ "Zhan", "Haolan", "" ], [ "Li", "Zhuang", "" ], [ "Wang", "Yufei", "" ], [ "Luo", "Linhao", "" ], [ "Feng", "Tao", "" ], [ "Kang", "Xiaoxi", "" ], [ "Hua", "Yuncheng", "" ], [ "Qu", "Lizhen", ...
Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current dialogue systems have access to more knowledge than any people in their life. However, current dialogue systems still do not perform at a hu...
2105.01881
Mahdi Fahmideh
Mahdi Fahmideh, John Grundy, Aakash Ahmed, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin
Engineering Blockchain Based Software Systems: Foundations, Survey, and Future Directions
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics and requirements associated with Blockchain Based Software (BBS) systems raise new challenges across the development lifecycle that entai...
[ { "created": "Wed, 5 May 2021 06:00:20 GMT", "version": "v1" }, { "created": "Mon, 10 Apr 2023 00:03:41 GMT", "version": "v2" } ]
2023-04-11
[ [ "Fahmideh", "Mahdi", "" ], [ "Grundy", "John", "" ], [ "Ahmed", "Aakash", "" ], [ "Shen", "Jun", "" ], [ "Yan", "Jun", "" ], [ "Mougouei", "Davoud", "" ], [ "Wang", "Peng", "" ], [ "Ghose", "Adi...
Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics and requirements associated with Blockchain Based Software (BBS) systems raise new challenges across the development lifecycle that entail ...
2010.01762
Zejiang Shen
Zejiang Shen, Jian Zhao, Melissa Dell, Yaoliang Yu, Weining Li
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
12 pages, 7 figures, 5 tables
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Document images often have intricate layout structures, with numerous content regions (e.g. texts, figures, tables) densely arranged on each page. This makes the manual annotation of layout datasets expensive and inefficient. These characteristics also challenge existing active learning methods, as image-level scorin...
[ { "created": "Mon, 5 Oct 2020 03:48:07 GMT", "version": "v1" }, { "created": "Wed, 14 Oct 2020 04:41:03 GMT", "version": "v2" }, { "created": "Mon, 29 Mar 2021 19:32:25 GMT", "version": "v3" } ]
2021-03-31
[ [ "Shen", "Zejiang", "" ], [ "Zhao", "Jian", "" ], [ "Dell", "Melissa", "" ], [ "Yu", "Yaoliang", "" ], [ "Li", "Weining", "" ] ]
Document images often have intricate layout structures, with numerous content regions (e.g. texts, figures, tables) densely arranged on each page. This makes the manual annotation of layout datasets expensive and inefficient. These characteristics also challenge existing active learning methods, as image-level scoring ...
1702.04786
Bundit Laekhanukit
Jittat Fakcharoenphol, Bundit Laekhanukit, Pattara Sukprasert
Finding All Useless Arcs in Directed Planar Graphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a linear-time algorithm for simplifying flow networks on directed planar graphs: Given a directed planar graph on $n$ vertices, a source vertex $s$ and a sink vertex $t$, our algorithm removes all the arcs that do not participate in any simple $s,t$-path in linear-time. The output graph produced by our alg...
[ { "created": "Wed, 15 Feb 2017 21:35:22 GMT", "version": "v1" }, { "created": "Sat, 18 Feb 2017 20:40:11 GMT", "version": "v2" }, { "created": "Thu, 2 Mar 2017 10:31:38 GMT", "version": "v3" }, { "created": "Tue, 8 May 2018 15:40:13 GMT", "version": "v4" } ]
2018-05-09
[ [ "Fakcharoenphol", "Jittat", "" ], [ "Laekhanukit", "Bundit", "" ], [ "Sukprasert", "Pattara", "" ] ]
We present a linear-time algorithm for simplifying flow networks on directed planar graphs: Given a directed planar graph on $n$ vertices, a source vertex $s$ and a sink vertex $t$, our algorithm removes all the arcs that do not participate in any simple $s,t$-path in linear-time. The output graph produced by our algor...
1705.03686
Daniel Neuen
Daniel Neuen and Pascal Schweitzer
Benchmark Graphs for Practical Graph Isomorphism
32 pages
null
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The state-of-the-art solvers for the graph isomorphism problem can readily solve generic instances with tens of thousands of vertices. Indeed, experiments show that on inputs without particular combinatorial structure the algorithms scale almost linearly. In fact, it is non-trivial to create challenging instances for...
[ { "created": "Wed, 10 May 2017 10:28:17 GMT", "version": "v1" } ]
2017-05-11
[ [ "Neuen", "Daniel", "" ], [ "Schweitzer", "Pascal", "" ] ]
The state-of-the-art solvers for the graph isomorphism problem can readily solve generic instances with tens of thousands of vertices. Indeed, experiments show that on inputs without particular combinatorial structure the algorithms scale almost linearly. In fact, it is non-trivial to create challenging instances for s...
1902.03451
Adnane Boukhayma
Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr
3D Hand Shape and Pose from Images in the Wild
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild. Our network consists of the concatenation of a deep convolutional encoder, and a fixed model-based decoder. Given an input image, and optionally 2D joint detections obtained f...
[ { "created": "Sat, 9 Feb 2019 17:30:16 GMT", "version": "v1" } ]
2019-02-12
[ [ "Boukhayma", "Adnane", "" ], [ "de Bem", "Rodrigo", "" ], [ "Torr", "Philip H. S.", "" ] ]
We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild. Our network consists of the concatenation of a deep convolutional encoder, and a fixed model-based decoder. Given an input image, and optionally 2D joint detections obtained fro...
2111.08587
Miguel Suau
Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic
Offline Contextual Bandits for Wireless Network Optimization
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
The explosion in mobile data traffic together with the ever-increasing expectations for higher quality of service call for the development of AI algorithms for wireless network optimization. In this paper, we investigate how to learn policies that can automatically adjust the configuration parameters of every cell in...
[ { "created": "Thu, 11 Nov 2021 11:31:20 GMT", "version": "v1" } ]
2021-11-17
[ [ "Suau", "Miguel", "" ], [ "Agapitos", "Alexandros", "" ], [ "Lynch", "David", "" ], [ "Farrell", "Derek", "" ], [ "Zhou", "Mingqi", "" ], [ "Milenovic", "Aleksandar", "" ] ]
The explosion in mobile data traffic together with the ever-increasing expectations for higher quality of service call for the development of AI algorithms for wireless network optimization. In this paper, we investigate how to learn policies that can automatically adjust the configuration parameters of every cell in t...
2310.12254
Subhash Lakshminarayana
Hamidreza Jahangir, Subhash Lakshminarayana, and H. Vincent Poor
Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-based Detection Mechanisms
null
null
null
null
cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The widespread deployment of "smart" electric vehicle charging stations (EVCSs) will be a key step toward achieving green transportation. The connectivity features of smart EVCSs can be utilized to schedule EV charging operations while respecting user preferences, thus avoiding synchronous charging from a large numbe...
[ { "created": "Wed, 18 Oct 2023 18:38:59 GMT", "version": "v1" } ]
2023-10-20
[ [ "Jahangir", "Hamidreza", "" ], [ "Lakshminarayana", "Subhash", "" ], [ "Poor", "H. Vincent", "" ] ]
The widespread deployment of "smart" electric vehicle charging stations (EVCSs) will be a key step toward achieving green transportation. The connectivity features of smart EVCSs can be utilized to schedule EV charging operations while respecting user preferences, thus avoiding synchronous charging from a large number ...
2008.00698
Hanlin Chen
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann
Anti-Bandit Neural Architecture Search for Model Defense
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep convolutional neural networks (DCNNs) have dominated as the best performers in machine learning, but can be challenged by adversarial attacks. In this paper, we defend against adversarial attacks using neural architecture search (NAS) which is based on a comprehensive search of denoising blocks, weight-free oper...
[ { "created": "Mon, 3 Aug 2020 07:59:39 GMT", "version": "v1" }, { "created": "Wed, 5 Aug 2020 08:33:48 GMT", "version": "v2" } ]
2020-08-06
[ [ "Chen", "Hanlin", "" ], [ "Zhang", "Baochang", "" ], [ "Xue", "Song", "" ], [ "Gong", "Xuan", "" ], [ "Liu", "Hong", "" ], [ "Ji", "Rongrong", "" ], [ "Doermann", "David", "" ] ]
Deep convolutional neural networks (DCNNs) have dominated as the best performers in machine learning, but can be challenged by adversarial attacks. In this paper, we defend against adversarial attacks using neural architecture search (NAS) which is based on a comprehensive search of denoising blocks, weight-free operat...
2406.13114
Jing Zhu
Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
preprint
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Large language models (LLMs) have significantly advanced various natural language processing tasks, but deploying them remains computationally expensive. Knowledge distillation (KD) is a promising solution, enabling the transfer of capabilities from larger teacher LLMs to more compact student models. Particularly, se...
[ { "created": "Wed, 19 Jun 2024 00:01:14 GMT", "version": "v1" } ]
2024-06-21
[ [ "Zhou", "Yuhang", "" ], [ "Zhu", "Jing", "" ], [ "Xu", "Paiheng", "" ], [ "Liu", "Xiaoyu", "" ], [ "Wang", "Xiyao", "" ], [ "Koutra", "Danai", "" ], [ "Ai", "Wei", "" ], [ "Huang", "Furong", ...
Large language models (LLMs) have significantly advanced various natural language processing tasks, but deploying them remains computationally expensive. Knowledge distillation (KD) is a promising solution, enabling the transfer of capabilities from larger teacher LLMs to more compact student models. Particularly, sequ...
2208.05350
Emanuele Santellani
Emanuele Santellani (1), Christian Sormann (1), Mattia Rossi (2), Andreas Kuhn (2), Friedrich Fraundorfer (1) ((1) Graz University of Technology, (2) Sony Europe B.V.)
MD-Net: Multi-Detector for Local Feature Extraction
Accepted at ICPR 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Establishing a sparse set of keypoint correspon dences between images is a fundamental task in many computer vision pipelines. Often, this translates into a computationally expensive nearest neighbor search, where every keypoint descriptor at one image must be compared with all the descriptors at the others. In order...
[ { "created": "Wed, 10 Aug 2022 13:52:31 GMT", "version": "v1" } ]
2022-08-11
[ [ "Santellani", "Emanuele", "" ], [ "Sormann", "Christian", "" ], [ "Rossi", "Mattia", "" ], [ "Kuhn", "Andreas", "" ], [ "Fraundorfer", "Friedrich", "" ] ]
Establishing a sparse set of keypoint correspon dences between images is a fundamental task in many computer vision pipelines. Often, this translates into a computationally expensive nearest neighbor search, where every keypoint descriptor at one image must be compared with all the descriptors at the others. In order t...
1708.05821
Oliver Obst
Olivia Michael and Oliver Obst and Falk Schmidsberger and Frieder Stolzenburg
Analysing Soccer Games with Clustering and Conceptors
To appear in RoboCup 2017: Robot World Cup XXI; Springer, 2018
In Hidehisa Akyama, Oliver Obst, Claude Sammut, and Flavio Tonidandel, editors, RoboCup 2017: Robot Soccer World Cup XXI. RoboCup International Symposium, LNAI 11175, pp. 120-131, Nagoya, Japan, 2018. Springer Nature Switzerland
10.1007/978-3-030-00308-1_10
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new approach for identifying situations and behaviours, which we call "moves", from soccer games in the 2D simulation league. Being able to identify key situations and behaviours are useful capabilities for analysing soccer matches, anticipating opponent behaviours to aid selection of appropriate tactics...
[ { "created": "Sat, 19 Aug 2017 07:58:06 GMT", "version": "v1" } ]
2018-09-13
[ [ "Michael", "Olivia", "" ], [ "Obst", "Oliver", "" ], [ "Schmidsberger", "Falk", "" ], [ "Stolzenburg", "Frieder", "" ] ]
We present a new approach for identifying situations and behaviours, which we call "moves", from soccer games in the 2D simulation league. Being able to identify key situations and behaviours are useful capabilities for analysing soccer matches, anticipating opponent behaviours to aid selection of appropriate tactics, ...
1610.07989
Raji Ghawi
Raji Ghawi
Process Discovery using Inductive Miner and Decomposition
A Submission to the Process Discovery Contest @ BPM2016
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This report presents a submission to the Process Discovery Contest. The contest is dedicated to the assessment of tools and techniques that discover business process models from event logs. The objective is to compare the efficiency of techniques to discover process models that provide a proper balance between "overf...
[ { "created": "Tue, 25 Oct 2016 17:58:54 GMT", "version": "v1" } ]
2016-10-27
[ [ "Ghawi", "Raji", "" ] ]
This report presents a submission to the Process Discovery Contest. The contest is dedicated to the assessment of tools and techniques that discover business process models from event logs. The objective is to compare the efficiency of techniques to discover process models that provide a proper balance between "overfit...
2210.05782
Meng Liu
Meng Liu, Haoran Liu, Shuiwang Ji
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
Accepted by ICLR 2023
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning energy-based models (EBMs) is known to be difficult especially on discrete data where gradient-based learning strategies cannot be applied directly. Although ratio matching is a sound method to learn discrete EBMs, it suffers from expensive computation and excessive memory requirements, thereby resulting in ...
[ { "created": "Tue, 11 Oct 2022 20:52:48 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2023 18:44:56 GMT", "version": "v2" } ]
2023-02-28
[ [ "Liu", "Meng", "" ], [ "Liu", "Haoran", "" ], [ "Ji", "Shuiwang", "" ] ]
Learning energy-based models (EBMs) is known to be difficult especially on discrete data where gradient-based learning strategies cannot be applied directly. Although ratio matching is a sound method to learn discrete EBMs, it suffers from expensive computation and excessive memory requirements, thereby resulting in di...
2205.03766
Yunlong Liang
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou
Scheduled Multi-task Learning for Neural Chat Translation
Accepted at ACL 2022 as a long paper of the main conference. Code and data: https://github.com/XL2248/SML
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Chat Translation (NCT) aims to translate conversational text into different languages. Existing methods mainly focus on modeling the bilingual dialogue characteristics (e.g., coherence) to improve chat translation via multi-task learning on small-scale chat translation data. Although the NCT models have achiev...
[ { "created": "Sun, 8 May 2022 02:57:28 GMT", "version": "v1" }, { "created": "Tue, 10 May 2022 09:49:54 GMT", "version": "v2" } ]
2022-05-11
[ [ "Liang", "Yunlong", "" ], [ "Meng", "Fandong", "" ], [ "Xu", "Jinan", "" ], [ "Chen", "Yufeng", "" ], [ "Zhou", "Jie", "" ] ]
Neural Chat Translation (NCT) aims to translate conversational text into different languages. Existing methods mainly focus on modeling the bilingual dialogue characteristics (e.g., coherence) to improve chat translation via multi-task learning on small-scale chat translation data. Although the NCT models have achieved...
1810.12692
Iqbal H. Sarker
Iqbal H. Sarker
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications
12 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context-awareness in smart mobile applications is a growing area of study, because of it's intelligence in the applications. In order to build context-aware intelligent applications, mining contextual behavioral rules of individual smartphone users utilizing their phone log data is the key. However, to mine these rul...
[ { "created": "Tue, 30 Oct 2018 12:10:43 GMT", "version": "v1" } ]
2018-10-31
[ [ "Sarker", "Iqbal H.", "" ] ]
Context-awareness in smart mobile applications is a growing area of study, because of it's intelligence in the applications. In order to build context-aware intelligent applications, mining contextual behavioral rules of individual smartphone users utilizing their phone log data is the key. However, to mine these rules...
2111.00929
Cong Geng
Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, S{\o}ren Hauberg
Bounds all around: training energy-based models with bidirectional bounds
This paper has been accepted by NeurIPS 2021
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Energy-based models (EBMs) provide an elegant framework for density estimation, but they are notoriously difficult to train. Recent work has established links to generative adversarial networks, where the EBM is trained through a minimax game with a variational value function. We propose a bidirectional bound on the ...
[ { "created": "Mon, 1 Nov 2021 13:25:38 GMT", "version": "v1" }, { "created": "Tue, 2 Nov 2021 12:37:53 GMT", "version": "v2" } ]
2021-11-03
[ [ "Geng", "Cong", "" ], [ "Wang", "Jia", "" ], [ "Gao", "Zhiyong", "" ], [ "Frellsen", "Jes", "" ], [ "Hauberg", "Søren", "" ] ]
Energy-based models (EBMs) provide an elegant framework for density estimation, but they are notoriously difficult to train. Recent work has established links to generative adversarial networks, where the EBM is trained through a minimax game with a variational value function. We propose a bidirectional bound on the EB...
2309.03599
Yichen Ouyang
Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, Gaoang Wang
Chasing Consistency in Text-to-3D Generation from a Single Image
9 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-to-3D generation from a single-view image is a popular but challenging task in 3D vision. Although numerous methods have been proposed, existing works still suffer from the inconsistency issues, including 1) semantic inconsistency, 2) geometric inconsistency, and 3) saturation inconsistency, resulting in distort...
[ { "created": "Thu, 7 Sep 2023 09:50:48 GMT", "version": "v1" } ]
2023-09-08
[ [ "Ouyang", "Yichen", "" ], [ "Chai", "Wenhao", "" ], [ "Ye", "Jiayi", "" ], [ "Tao", "Dapeng", "" ], [ "Zhan", "Yibing", "" ], [ "Wang", "Gaoang", "" ] ]
Text-to-3D generation from a single-view image is a popular but challenging task in 3D vision. Although numerous methods have been proposed, existing works still suffer from the inconsistency issues, including 1) semantic inconsistency, 2) geometric inconsistency, and 3) saturation inconsistency, resulting in distorted...
2401.08965
Lei Xun
Lei Xun, Jonathon Hare, Geoff V. Merrett
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices
Accepted at Design, Automation & Test in Europe Conference (DATE) 2024, PhD Forum
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Deep neural network (DNN) inference is increasingly being executed on mobile and embedded platforms due to several key advantages in latency, privacy and always-on availability. However, due to limited computing resources, efficient DNN deployment on mobile and embedded platforms is challenging. Although many hardwar...
[ { "created": "Wed, 17 Jan 2024 04:40:30 GMT", "version": "v1" } ]
2024-01-18
[ [ "Xun", "Lei", "" ], [ "Hare", "Jonathon", "" ], [ "Merrett", "Geoff V.", "" ] ]
Deep neural network (DNN) inference is increasingly being executed on mobile and embedded platforms due to several key advantages in latency, privacy and always-on availability. However, due to limited computing resources, efficient DNN deployment on mobile and embedded platforms is challenging. Although many hardware ...
2404.16422
Zhibo Zhang
Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
9 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a robust fine-tuning method designed for pre-trained 3D point cloud models, to enhance feature robustness in downstream fine-tuned models. We highlight the limitations of current fine-tuning methods and the challenges of learning robust models. The proposed method, named Weight-Space Ensembles for...
[ { "created": "Thu, 25 Apr 2024 08:52:25 GMT", "version": "v1" } ]
2024-04-26
[ [ "Zhang", "Zhibo", "" ], [ "Yang", "Ximing", "" ], [ "Zhang", "Weizhong", "" ], [ "Jin", "Cheng", "" ] ]
This paper presents a robust fine-tuning method designed for pre-trained 3D point cloud models, to enhance feature robustness in downstream fine-tuned models. We highlight the limitations of current fine-tuning methods and the challenges of learning robust models. The proposed method, named Weight-Space Ensembles for F...
1508.06208
Luiz Capretz Dr.
Luiz Fernando Capretz
CBSE CASE Environment
4th International Multi-Conference on Information Society, Ljubljana, Slovenia, pp. 379-382, 2001
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the need to produce ever larger and more complex software systems, the use of reusable components has become increasingly imperative. Of the many existing and proposed techniques for software development, it seems clear that components-based software engineering (CBSE) will be at the forefront of new approaches ...
[ { "created": "Tue, 25 Aug 2015 16:22:11 GMT", "version": "v1" } ]
2015-08-26
[ [ "Capretz", "Luiz Fernando", "" ] ]
With the need to produce ever larger and more complex software systems, the use of reusable components has become increasingly imperative. Of the many existing and proposed techniques for software development, it seems clear that components-based software engineering (CBSE) will be at the forefront of new approaches to...
1309.6864
Hossein Azari Soufiani
Hossein Azari Soufiani, David C. Parkes, Lirong Xia
Preference Elicitation For General Random Utility Models
Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
null
null
UAI-P-2013-PG-596-605
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discusses {General Random Utility Models (GRUMs)}. These are a class of parametric models that generate partial ranks over alternatives given attributes of agents and alternatives. We propose two preference elicitation scheme for GRUMs developed from principles in Bayesian experimental design, one for soci...
[ { "created": "Thu, 26 Sep 2013 12:50:37 GMT", "version": "v1" } ]
2013-09-27
[ [ "Soufiani", "Hossein Azari", "" ], [ "Parkes", "David C.", "" ], [ "Xia", "Lirong", "" ] ]
This paper discusses {General Random Utility Models (GRUMs)}. These are a class of parametric models that generate partial ranks over alternatives given attributes of agents and alternatives. We propose two preference elicitation scheme for GRUMs developed from principles in Bayesian experimental design, one for social...
2107.13673
Luisa Fernanda Roa Ballen
Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andr\'es Rodr\'iguez-Rey, Jose Alberto Ramos, Alejandro Correa-Bahnsen
Relational Graph Neural Networks for Fraud Detection in a Super-App environment
Accepted to be appeared in 2021 KDD Workshop on ML in Finance
null
null
null
cs.LG q-fin.GN
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection problems. In this paper we propose a framework of relational graph convolutional networks methods for fraudulent behaviour prevention in the ...
[ { "created": "Thu, 29 Jul 2021 00:02:06 GMT", "version": "v1" }, { "created": "Fri, 30 Jul 2021 14:09:20 GMT", "version": "v2" } ]
2021-08-02
[ [ "Acevedo-Viloria", "Jaime D.", "" ], [ "Roa", "Luisa", "" ], [ "Adeshina", "Soji", "" ], [ "Olazo", "Cesar Charalla", "" ], [ "Rodríguez-Rey", "Andrés", "" ], [ "Ramos", "Jose Alberto", "" ], [ "Correa-Bahnsen", ...
Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection problems. In this paper we propose a framework of relational graph convolutional networks methods for fraudulent behaviour prevention in the fi...
2101.08886
Matteo Zallio Dr.
Matteo Zallio, Paula Kelly, Barry Cryan, Damon Berry
A co-Design approach to develop a smart cooking appliance. Applying a Domain Specific Language for a community supported appliance
9 pages, 7 figures
null
null
null
cs.HC cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our environment, whether at work, in public spaces, or at home, is becoming more connected, and increasingly responsive. Meal preparation even when it involves simply heating ready-made food can be perceived as a complex process for people with disabilities. This research aimed to prototype, using a co-Design approac...
[ { "created": "Thu, 21 Jan 2021 23:23:36 GMT", "version": "v1" }, { "created": "Mon, 25 Jan 2021 10:12:03 GMT", "version": "v2" }, { "created": "Mon, 21 Jun 2021 10:43:18 GMT", "version": "v3" } ]
2021-06-22
[ [ "Zallio", "Matteo", "" ], [ "Kelly", "Paula", "" ], [ "Cryan", "Barry", "" ], [ "Berry", "Damon", "" ] ]
Our environment, whether at work, in public spaces, or at home, is becoming more connected, and increasingly responsive. Meal preparation even when it involves simply heating ready-made food can be perceived as a complex process for people with disabilities. This research aimed to prototype, using a co-Design approach ...
2209.02241
Yang Yang
Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa
Real-Time Cattle Interaction Recognition via Triple-stream Network
Accepted in ICMLA2022
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In stockbreeding of beef cattle, computer vision-based approaches have been widely employed to monitor cattle conditions (e.g. the physical, physiology, and health). To this end, the accurate and effective recognition of cattle action is a prerequisite. Generally, most existing models are confined to individual behav...
[ { "created": "Tue, 6 Sep 2022 06:31:09 GMT", "version": "v1" } ]
2022-09-07
[ [ "Yang", "Yang", "" ], [ "Komatsu", "Mizuka", "" ], [ "Oyama", "Kenji", "" ], [ "Ohkawa", "Takenao", "" ] ]
In stockbreeding of beef cattle, computer vision-based approaches have been widely employed to monitor cattle conditions (e.g. the physical, physiology, and health). To this end, the accurate and effective recognition of cattle action is a prerequisite. Generally, most existing models are confined to individual behavio...
1910.07930
Diana Berbecaru
Diana Berbecaru and Antonio Lioy
Preliminary steps in designing and implementing a privilege verifier for PMI
Paper presented at IADIS International Conference WWW/Internet 2004
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have designed and deployed a system that uses X.509 public-key certificates (PKC) and attribute certificates (AC) for access control. This includes an authorization service for on-line environments where clients are identified by X.509 PKCs and their privileges are expressed with X.509 ACs. During a request to a p...
[ { "created": "Thu, 17 Oct 2019 14:09:15 GMT", "version": "v1" } ]
2019-10-18
[ [ "Berbecaru", "Diana", "" ], [ "Lioy", "Antonio", "" ] ]
We have designed and deployed a system that uses X.509 public-key certificates (PKC) and attribute certificates (AC) for access control. This includes an authorization service for on-line environments where clients are identified by X.509 PKCs and their privileges are expressed with X.509 ACs. During a request to a pro...
2401.04345
Hualie Jiang
Hualie Jiang, Rui Xu, Minglang Tan and Wenjie Jiang
RomniStereo: Recurrent Omnidirectional Stereo Matching
accepted by IEEE RA-L, https://github.com/HalleyJiang/RomniStereo
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Omnidirectional stereo matching (OSM) is an essential and reliable means for $360^{\circ}$ depth sensing. However, following earlier works on conventional stereo matching, prior state-of-the-art (SOTA) methods rely on a 3D encoder-decoder block to regularize the cost volume, causing the whole system complicated and s...
[ { "created": "Tue, 9 Jan 2024 04:06:01 GMT", "version": "v1" }, { "created": "Fri, 26 Jan 2024 03:02:34 GMT", "version": "v2" } ]
2024-01-29
[ [ "Jiang", "Hualie", "" ], [ "Xu", "Rui", "" ], [ "Tan", "Minglang", "" ], [ "Jiang", "Wenjie", "" ] ]
Omnidirectional stereo matching (OSM) is an essential and reliable means for $360^{\circ}$ depth sensing. However, following earlier works on conventional stereo matching, prior state-of-the-art (SOTA) methods rely on a 3D encoder-decoder block to regularize the cost volume, causing the whole system complicated and sub...
1301.0930
Saptarshi Das
Sayan Saha, Saptarshi Das, Anindya Pakhira, Sumit Mukherjee, Indranil Pan
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
6 pages, 9 figures
Engineering and Systems (SCES), 2012 Students Conference on; Allahabad, March 2012
10.1109/SCES.2012.6199122
null
cs.SY cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized PID controllers have been designed in this paper for simultaneous tracking of individual process variables in multivariable systems under step reference input. The controller design framework takes into account the minimization of a weighted sum of Integral of Time multiplied Squared Error (ITSE) and In...
[ { "created": "Sat, 5 Jan 2013 18:45:01 GMT", "version": "v1" } ]
2013-01-08
[ [ "Saha", "Sayan", "" ], [ "Das", "Saptarshi", "" ], [ "Pakhira", "Anindya", "" ], [ "Mukherjee", "Sumit", "" ], [ "Pan", "Indranil", "" ] ]
Decentralized PID controllers have been designed in this paper for simultaneous tracking of individual process variables in multivariable systems under step reference input. The controller design framework takes into account the minimization of a weighted sum of Integral of Time multiplied Squared Error (ITSE) and Inte...
1804.00490
Masayuki Tanaka
Masayuki Tanaka
Learnable Image Encryption
2 pages
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The network-based machine learning algorithm is very powerful tools. However, it requires huge training dataset. Researchers often meet privacy issues when they collect image dataset especially for surveillance applications. A learnable image encryption scheme is introduced. The key idea of this scheme is to encrypt ...
[ { "created": "Mon, 19 Mar 2018 05:44:53 GMT", "version": "v1" } ]
2018-04-03
[ [ "Tanaka", "Masayuki", "" ] ]
The network-based machine learning algorithm is very powerful tools. However, it requires huge training dataset. Researchers often meet privacy issues when they collect image dataset especially for surveillance applications. A learnable image encryption scheme is introduced. The key idea of this scheme is to encrypt im...
2303.13913
Han Xue
Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, Cewu Lu
GarmentTracking: Category-Level Garment Pose Tracking
null
null
null
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
Garments are important to humans. A visual system that can estimate and track the complete garment pose can be useful for many downstream tasks and real-world applications. In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with whi...
[ { "created": "Fri, 24 Mar 2023 10:59:17 GMT", "version": "v1" } ]
2023-03-27
[ [ "Xue", "Han", "" ], [ "Xu", "Wenqiang", "" ], [ "Zhang", "Jieyi", "" ], [ "Tang", "Tutian", "" ], [ "Li", "Yutong", "" ], [ "Du", "Wenxin", "" ], [ "Ye", "Ruolin", "" ], [ "Lu", "Cewu", "" ...
Garments are important to humans. A visual system that can estimate and track the complete garment pose can be useful for many downstream tasks and real-world applications. In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which...
1707.01211
Anrin Chakraborti
Anrin Chakraborti and Radu Sion
SqORAM: Read-Optimized Sequential Write-Only Oblivious RAM
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Oblivious RAM protocols (ORAMs) allow a client to access data from an untrusted storage device without revealing the access patterns. Typically, the ORAM adversary can observe both read and write accesses. Write-only ORAMs target a more practical, {\em multi-snapshot adversary} only monitoring client writes -- typica...
[ { "created": "Wed, 5 Jul 2017 04:50:48 GMT", "version": "v1" }, { "created": "Sat, 17 Aug 2019 18:14:26 GMT", "version": "v2" } ]
2019-08-20
[ [ "Chakraborti", "Anrin", "" ], [ "Sion", "Radu", "" ] ]
Oblivious RAM protocols (ORAMs) allow a client to access data from an untrusted storage device without revealing the access patterns. Typically, the ORAM adversary can observe both read and write accesses. Write-only ORAMs target a more practical, {\em multi-snapshot adversary} only monitoring client writes -- typical ...
2106.06216
Luca Mazzola
Andreas Waldis and Luca Mazzola
Nested and Balanced Entity Recognition using Multi-Task Learning
null
null
null
null
cs.CL cs.IR cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Entity Recognition (ER) within a text is a fundamental exercise in Natural Language Processing, enabling further depending tasks such as Knowledge Extraction, Text Summarisation, or Keyphrase Extraction. An entity consists of single words or of a consecutive sequence of terms, constituting the basic building blocks f...
[ { "created": "Fri, 11 Jun 2021 07:52:32 GMT", "version": "v1" } ]
2021-06-14
[ [ "Waldis", "Andreas", "" ], [ "Mazzola", "Luca", "" ] ]
Entity Recognition (ER) within a text is a fundamental exercise in Natural Language Processing, enabling further depending tasks such as Knowledge Extraction, Text Summarisation, or Keyphrase Extraction. An entity consists of single words or of a consecutive sequence of terms, constituting the basic building blocks for...
1409.1039
Fionn Murtagh
Fionn Murtagh, Monica Pianosi, Richard Bull
Visualizing and Quantifying Impact and Effect in Twitter Narrative using Geometric Data Analysis
34 pages, 11 figures
null
null
null
cs.SI cs.CY physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We use geometric multivariate data analysis which has been termed a methodology for both the visualization and verbalization of data. The general objectives are data mining and knowledge discovery. In the first case study, we use the narrative surrounding very highly profiled tweets, and thus a Twitter event of signi...
[ { "created": "Wed, 3 Sep 2014 11:25:12 GMT", "version": "v1" }, { "created": "Sun, 14 Sep 2014 11:09:07 GMT", "version": "v2" } ]
2014-09-16
[ [ "Murtagh", "Fionn", "" ], [ "Pianosi", "Monica", "" ], [ "Bull", "Richard", "" ] ]
We use geometric multivariate data analysis which has been termed a methodology for both the visualization and verbalization of data. The general objectives are data mining and knowledge discovery. In the first case study, we use the narrative surrounding very highly profiled tweets, and thus a Twitter event of signifi...
2012.03044
Xiao Zhang
Xiao Zhang, Michael Maire
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Accepted by NeurIPS 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We create a framework for bootstrapping visual representation learning from a primitive visual grouping capability. We operationalize grouping via a contour detector that partitions an image into regions, followed by merging of those regions into a tree hierarchy. A small supervised dataset suffices for training this...
[ { "created": "Sat, 5 Dec 2020 14:54:08 GMT", "version": "v1" } ]
2020-12-08
[ [ "Zhang", "Xiao", "" ], [ "Maire", "Michael", "" ] ]
We create a framework for bootstrapping visual representation learning from a primitive visual grouping capability. We operationalize grouping via a contour detector that partitions an image into regions, followed by merging of those regions into a tree hierarchy. A small supervised dataset suffices for training this g...
1508.02285
Nut Limsopatham
Nut Limsopatham and Nigel Collier
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous studies have shown that health reports in social media, such as DailyStrength and Twitter, have potential for monitoring health conditions (e.g. adverse drug reactions, infectious diseases) in particular communities. However, in order for a machine to understand and make inferences on these health conditions...
[ { "created": "Mon, 10 Aug 2015 15:29:22 GMT", "version": "v1" } ]
2015-08-11
[ [ "Limsopatham", "Nut", "" ], [ "Collier", "Nigel", "" ] ]
Previous studies have shown that health reports in social media, such as DailyStrength and Twitter, have potential for monitoring health conditions (e.g. adverse drug reactions, infectious diseases) in particular communities. However, in order for a machine to understand and make inferences on these health conditions, ...
2302.01932
Yingbin Zhang
Yingbin Zhang and Luc Paquette
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations
This is a preprint of the following chapter: Yingbin Zhang & Luc Paquette (2023). Sequential pattern mining in educational data: The application context, potential, strengths, and limitations. In Alejandro Pe\~na-Ayala (Eds), Educational Data Science: Essentials, Approaches, and Tendencies. Springer. https://li...
null
10.1007/978-981-99-0026-8_6
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Increasingly, researchers have suggested the benefits of temporal analysis to improve our understanding of the learning process. Sequential pattern mining (SPM), as a pattern recognition technique, has the potential to reveal the temporal aspects of learning and can be a valuable tool in educational data science. How...
[ { "created": "Fri, 3 Feb 2023 06:56:31 GMT", "version": "v1" } ]
2023-05-02
[ [ "Zhang", "Yingbin", "" ], [ "Paquette", "Luc", "" ] ]
Increasingly, researchers have suggested the benefits of temporal analysis to improve our understanding of the learning process. Sequential pattern mining (SPM), as a pattern recognition technique, has the potential to reveal the temporal aspects of learning and can be a valuable tool in educational data science. Howev...
2403.10534
Syeda Nahida Akter
Syeda Nahida Akter, Sangwu Lee, Yingshan Chang, Yonatan Bisk, Eric Nyberg
VISREAS: Complex Visual Reasoning with Unanswerable Questions
18 pages, 14 figures, 5 tables
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Verifying a question's validity before answering is crucial in real-world applications, where users may provide imperfect instructions. In this scenario, an ideal model should address the discrepancies in the query and convey them to the users rather than generating the best possible answer. Addressing this requireme...
[ { "created": "Fri, 23 Feb 2024 00:12:10 GMT", "version": "v1" } ]
2024-03-19
[ [ "Akter", "Syeda Nahida", "" ], [ "Lee", "Sangwu", "" ], [ "Chang", "Yingshan", "" ], [ "Bisk", "Yonatan", "" ], [ "Nyberg", "Eric", "" ] ]
Verifying a question's validity before answering is crucial in real-world applications, where users may provide imperfect instructions. In this scenario, an ideal model should address the discrepancies in the query and convey them to the users rather than generating the best possible answer. Addressing this requirement...
1504.07959
Sebastian Krinninger
Monika Henzinger, Sebastian Krinninger, Danupon Nanongkai
Sublinear-Time Decremental Algorithms for Single-Source Reachability and Shortest Paths on Directed Graphs
Preliminary versions of this paper were presented at the 46th ACM Symposium on Theory of Computing (STOC 2014) and the 42nd International Colloquium on Automata, Languages, and Programming (ICALP 2015)
null
10.1145/2591796.2591869
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider dynamic algorithms for maintaining Single-Source Reachability (SSR) and approximate Single-Source Shortest Paths (SSSP) on $n$-node $m$-edge directed graphs under edge deletions (decremental algorithms). The previous fastest algorithm for SSR and SSSP goes back three decades to Even and Shiloach [JACM 198...
[ { "created": "Wed, 29 Apr 2015 18:46:55 GMT", "version": "v1" }, { "created": "Tue, 31 May 2016 09:02:57 GMT", "version": "v2" } ]
2018-03-02
[ [ "Henzinger", "Monika", "" ], [ "Krinninger", "Sebastian", "" ], [ "Nanongkai", "Danupon", "" ] ]
We consider dynamic algorithms for maintaining Single-Source Reachability (SSR) and approximate Single-Source Shortest Paths (SSSP) on $n$-node $m$-edge directed graphs under edge deletions (decremental algorithms). The previous fastest algorithm for SSR and SSSP goes back three decades to Even and Shiloach [JACM 1981]...
2205.06176
Christian Schulz
Adil Chhabra, Marcelo Fonseca Faraj and Christian Schulz
Local Motif Clustering via (Hyper)Graph Partitioning
null
null
null
null
cs.SI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A widely-used operation on graphs is local clustering, i.e., extracting a well-characterized community around a seed node without the need to process the whole graph. Recently local motif clustering has been proposed: it looks for a local cluster based on the distribution of motifs. Since this local clustering perspe...
[ { "created": "Wed, 11 May 2022 12:16:01 GMT", "version": "v1" } ]
2022-05-13
[ [ "Chhabra", "Adil", "" ], [ "Faraj", "Marcelo Fonseca", "" ], [ "Schulz", "Christian", "" ] ]
A widely-used operation on graphs is local clustering, i.e., extracting a well-characterized community around a seed node without the need to process the whole graph. Recently local motif clustering has been proposed: it looks for a local cluster based on the distribution of motifs. Since this local clustering perspect...
1311.2557
Barna Saha
Barna Saha
Efficiently Computing Edit Distance to Dyck Language
29 pages
null
null
null
cs.DS cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a string $\sigma$ over alphabet $\Sigma$ and a grammar $G$ defined over the same alphabet, how many minimum number of repairs: insertions, deletions and substitutions are required to map $\sigma$ into a valid member of $G$ ? We investigate this basic question in this paper for $Dyck(s)$. $Dyck(s)$ is a fundamen...
[ { "created": "Mon, 11 Nov 2013 20:05:08 GMT", "version": "v1" }, { "created": "Tue, 12 Nov 2013 07:56:08 GMT", "version": "v2" } ]
2013-11-13
[ [ "Saha", "Barna", "" ] ]
Given a string $\sigma$ over alphabet $\Sigma$ and a grammar $G$ defined over the same alphabet, how many minimum number of repairs: insertions, deletions and substitutions are required to map $\sigma$ into a valid member of $G$ ? We investigate this basic question in this paper for $Dyck(s)$. $Dyck(s)$ is a fundamenta...
2209.10503
Aleksey Fedoseev
Aleksey Fedoseev, Ahmed Baza, Ayush Gupta, Ekaterina Dorzhieva, Riya Neelesh Gujarathi, Dzmitry Tsetserukou
DandelionTouch: High Fidelity Haptic Rendering of Soft Objects in VR by a Swarm of Drones
Accepted to the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Copyright 20XX IEEE. Personal use of this material is permitted
null
null
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To achieve high fidelity haptic rendering of soft objects in a high mobility virtual environment, we propose a novel haptic display DandelionTouch. The tactile actuators are delivered to the fingertips of the user by a swarm of drones. Users of DandelionTouch are capable of experiencing tactile feedback in a large sp...
[ { "created": "Wed, 21 Sep 2022 16:58:14 GMT", "version": "v1" }, { "created": "Thu, 22 Sep 2022 11:43:51 GMT", "version": "v2" } ]
2022-09-23
[ [ "Fedoseev", "Aleksey", "" ], [ "Baza", "Ahmed", "" ], [ "Gupta", "Ayush", "" ], [ "Dorzhieva", "Ekaterina", "" ], [ "Gujarathi", "Riya Neelesh", "" ], [ "Tsetserukou", "Dzmitry", "" ] ]
To achieve high fidelity haptic rendering of soft objects in a high mobility virtual environment, we propose a novel haptic display DandelionTouch. The tactile actuators are delivered to the fingertips of the user by a swarm of drones. Users of DandelionTouch are capable of experiencing tactile feedback in a large spac...
2207.10081
Ravid Shwartz Ziv
Ravid Shwartz-Ziv, Randall Balestriero, Yann LeCun
What Do We Maximize in Self-Supervised Learning?
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In this paper, we examine self-supervised learning methods, particularly VICReg, to provide an information-theoretical understanding of their construction. As a first step, we demonstrate how information-theoretic quantities can be obtained for a deterministic network, offering a possible alternative to prior work th...
[ { "created": "Wed, 20 Jul 2022 04:44:26 GMT", "version": "v1" } ]
2022-07-22
[ [ "Shwartz-Ziv", "Ravid", "" ], [ "Balestriero", "Randall", "" ], [ "LeCun", "Yann", "" ] ]
In this paper, we examine self-supervised learning methods, particularly VICReg, to provide an information-theoretical understanding of their construction. As a first step, we demonstrate how information-theoretic quantities can be obtained for a deterministic network, offering a possible alternative to prior work that...
1506.09208
Xiaohu Wu
Patrick Loiseau and Xiaohu Wu
Improved Competitive Analysis of Online Scheduling Deadline-Sensitive Jobs
further improvement
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the following scheduling problem. There is a single machine and the jobs will arrive for completion online. Each job j is preemptive and, upon its arrival, its other characteristics are immediately revealed to the machine: the deadline requirement, the workload and the value. The objective is to maximize ...
[ { "created": "Tue, 30 Jun 2015 19:37:55 GMT", "version": "v1" }, { "created": "Fri, 11 Sep 2015 04:37:19 GMT", "version": "v2" } ]
2015-09-14
[ [ "Loiseau", "Patrick", "" ], [ "Wu", "Xiaohu", "" ] ]
We consider the following scheduling problem. There is a single machine and the jobs will arrive for completion online. Each job j is preemptive and, upon its arrival, its other characteristics are immediately revealed to the machine: the deadline requirement, the workload and the value. The objective is to maximize th...
1902.00043
Ashok Deb
Ashok Deb, Luca Luceri, Adam Badawy and Emilio Ferrara
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the hallmarks of a free and fair society is the ability to conduct a peaceful and seamless transfer of power from one leader to another. Democratically, this is measured in a citizen population's trust in the electoral system of choosing a representative government. In view of the well documented issues of the...
[ { "created": "Thu, 31 Jan 2019 19:23:10 GMT", "version": "v1" } ]
2019-02-04
[ [ "Deb", "Ashok", "" ], [ "Luceri", "Luca", "" ], [ "Badawy", "Adam", "" ], [ "Ferrara", "Emilio", "" ] ]
One of the hallmarks of a free and fair society is the ability to conduct a peaceful and seamless transfer of power from one leader to another. Democratically, this is measured in a citizen population's trust in the electoral system of choosing a representative government. In view of the well documented issues of the 2...
2206.08367
Mattia Segu
Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Published at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Adapting to a continuously evolving environment is a safety-critical challenge inevitably faced by all autonomous driving systems. Existing image and video driving datasets, however, fall short of capturing the mutable nature of the real world. In this paper, we introduce the largest multi-task synthetic dataset for ...
[ { "created": "Thu, 16 Jun 2022 17:59:52 GMT", "version": "v1" } ]
2022-06-17
[ [ "Sun", "Tao", "" ], [ "Segu", "Mattia", "" ], [ "Postels", "Janis", "" ], [ "Wang", "Yuxuan", "" ], [ "Van Gool", "Luc", "" ], [ "Schiele", "Bernt", "" ], [ "Tombari", "Federico", "" ], [ "Yu", ...
Adapting to a continuously evolving environment is a safety-critical challenge inevitably faced by all autonomous driving systems. Existing image and video driving datasets, however, fall short of capturing the mutable nature of the real world. In this paper, we introduce the largest multi-task synthetic dataset for au...
2304.05352
Zifeng Wang
Zifeng Wang and Cao Xiao and Jimeng Sun
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Clinical trials are essential to drug development but time-consuming, costly, and prone to failure. Accurate trial outcome prediction based on historical trial data promises better trial investment decisions and more trial success. Existing trial outcome prediction models were not designed to model the relations amon...
[ { "created": "Fri, 7 Apr 2023 23:04:27 GMT", "version": "v1" } ]
2023-04-12
[ [ "Wang", "Zifeng", "" ], [ "Xiao", "Cao", "" ], [ "Sun", "Jimeng", "" ] ]
Clinical trials are essential to drug development but time-consuming, costly, and prone to failure. Accurate trial outcome prediction based on historical trial data promises better trial investment decisions and more trial success. Existing trial outcome prediction models were not designed to model the relations among ...
1904.08170
Xin Jin
Xin Jin, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Accepted by Neurocomputing
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objects at different spatial positions in an image exhibit different scales. Adaptive receptive fields are expected to capture suitable ranges of context for accurate pixel level semantic prediction. Recently, atrous convolution with different dilation rates has been used to generate features of multi-scales through ...
[ { "created": "Wed, 17 Apr 2019 10:33:03 GMT", "version": "v1" }, { "created": "Thu, 2 Jan 2020 05:14:22 GMT", "version": "v2" }, { "created": "Fri, 9 Oct 2020 08:13:39 GMT", "version": "v3" } ]
2020-10-12
[ [ "Jin", "Xin", "" ], [ "Lan", "Cuiling", "" ], [ "Zeng", "Wenjun", "" ], [ "Zhang", "Zhizheng", "" ], [ "Chen", "Zhibo", "" ] ]
Objects at different spatial positions in an image exhibit different scales. Adaptive receptive fields are expected to capture suitable ranges of context for accurate pixel level semantic prediction. Recently, atrous convolution with different dilation rates has been used to generate features of multi-scales through se...
1405.0549
Omar S. Soliman
Omar S. Soliman, Eman AboElhamd
Classification of Diabetes Mellitus using Modified Particle Swarm Optimization and Least Squares Support Vector Machine
null
null
null
null
cs.CE cs.NE
http://creativecommons.org/licenses/by/3.0/
Diabetes Mellitus is a major health problem all over the world. Many classification algorithms have been applied for its diagnoses and treatment. In this paper, a hybrid algorithm of Modified-Particle Swarm Optimization and Least Squares- Support Vector Machine is proposed for the classification of type II DM patient...
[ { "created": "Sat, 3 May 2014 02:31:07 GMT", "version": "v1" } ]
2014-05-06
[ [ "Soliman", "Omar S.", "" ], [ "AboElhamd", "Eman", "" ] ]
Diabetes Mellitus is a major health problem all over the world. Many classification algorithms have been applied for its diagnoses and treatment. In this paper, a hybrid algorithm of Modified-Particle Swarm Optimization and Least Squares- Support Vector Machine is proposed for the classification of type II DM patients....
1806.00287
Ning Cai
Zong-Yuan Tan, Ning Cai, Jian Zhou, Sheng-Guo Zhang
On Performance of Peer Review for Academic Journals: Analysis Based on Distributed Parallel System
This paper is already published in the journal IEEE Access and its copyright is fully open. The title was adjusted according to the review comments
IEEE Access, 2019, 7, pp. 19024-19032
10.1109/ACCESS.2019.2896978
null
cs.DL cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A simulation model based on parallel systems is established, aiming to explore the relation between the number of submissions and the overall standard of academic journals within a similar discipline under peer review. The model can effectively simulate the submission, review, and acceptance behaviors of academic jou...
[ { "created": "Fri, 1 Jun 2018 11:09:30 GMT", "version": "v1" }, { "created": "Wed, 21 Aug 2019 02:44:06 GMT", "version": "v2" } ]
2019-08-22
[ [ "Tan", "Zong-Yuan", "" ], [ "Cai", "Ning", "" ], [ "Zhou", "Jian", "" ], [ "Zhang", "Sheng-Guo", "" ] ]
A simulation model based on parallel systems is established, aiming to explore the relation between the number of submissions and the overall standard of academic journals within a similar discipline under peer review. The model can effectively simulate the submission, review, and acceptance behaviors of academic journ...
2306.13962
Xilai Fan
Xilai Fan, Ya-Feng Liu, Liang Liu, Tsung-Hui Chang
QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality
15 pages, 7 figures, submitted for possible publication
null
null
null
cs.IT eess.SP math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the quality-of-service (QoS)-based joint beamforming and compression design problem in the downlink cooperative cellular network, where multiple relay-like base stations (BSs), connected to the central processor via rate-limited fronthaul links, cooperatively transmit messages to the users. The p...
[ { "created": "Sat, 24 Jun 2023 13:33:46 GMT", "version": "v1" } ]
2023-06-27
[ [ "Fan", "Xilai", "" ], [ "Liu", "Ya-Feng", "" ], [ "Liu", "Liang", "" ], [ "Chang", "Tsung-Hui", "" ] ]
This paper considers the quality-of-service (QoS)-based joint beamforming and compression design problem in the downlink cooperative cellular network, where multiple relay-like base stations (BSs), connected to the central processor via rate-limited fronthaul links, cooperatively transmit messages to the users. The pro...
2111.14183
Bingzhuo Li
Cheng Huang, Hui Zhou, Chunyang Ye, Bingzhuo Li
Code Clone Detection based on Event Embedding and Event Dependency
null
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The code clone detection method based on semantic similarity has important value in software engineering tasks (e.g., software evolution, software reuse). Traditional code clone detection technologies pay more attention to the similarity of code at the syntax level, and less attention to the semantic similarity of th...
[ { "created": "Sun, 28 Nov 2021 15:50:15 GMT", "version": "v1" } ]
2021-11-30
[ [ "Huang", "Cheng", "" ], [ "Zhou", "Hui", "" ], [ "Ye", "Chunyang", "" ], [ "Li", "Bingzhuo", "" ] ]
The code clone detection method based on semantic similarity has important value in software engineering tasks (e.g., software evolution, software reuse). Traditional code clone detection technologies pay more attention to the similarity of code at the syntax level, and less attention to the semantic similarity of the ...
2011.04862
Jiaqi Yang
Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Qian Zhang, Yanning Zhang, Zhiguo Cao
On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) pose from feature correspondences remains a popular approach to 3D rigid registration, where random sample consensus (RANSAC) is a de-facto...
[ { "created": "Tue, 10 Nov 2020 02:22:45 GMT", "version": "v1" } ]
2020-11-11
[ [ "Yang", "Jiaqi", "" ], [ "Huang", "Zhiqiang", "" ], [ "Quan", "Siwen", "" ], [ "Zhang", "Qian", "" ], [ "Zhang", "Yanning", "" ], [ "Cao", "Zhiguo", "" ] ]
This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) pose from feature correspondences remains a popular approach to 3D rigid registration, where random sample consensus (RANSAC) is a de-facto c...
2210.17344
Mallikarjun Byrasandra Ramalinga Reddy
Mallikarjun BR, Ayush Tewari, Xingang Pan, Mohamed Elgharib, Christian Theobalt
gCoRF: Generative Compositional Radiance Fields
https://vcai.mpi-inf.mpg.de/projects/gCoRF/
null
null
null
cs.GR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D generative models of objects enable photorealistic image synthesis with 3D control. Existing methods model the scene as a global scene representation, ignoring the compositional aspect of the scene. Compositional reasoning can enable a wide variety of editing applications, in addition to enabling generalizable 3D ...
[ { "created": "Mon, 31 Oct 2022 14:10:44 GMT", "version": "v1" } ]
2022-11-01
[ [ "BR", "Mallikarjun", "" ], [ "Tewari", "Ayush", "" ], [ "Pan", "Xingang", "" ], [ "Elgharib", "Mohamed", "" ], [ "Theobalt", "Christian", "" ] ]
3D generative models of objects enable photorealistic image synthesis with 3D control. Existing methods model the scene as a global scene representation, ignoring the compositional aspect of the scene. Compositional reasoning can enable a wide variety of editing applications, in addition to enabling generalizable 3D re...
1807.07425
Liang Yao Dr.
Liang Yao, Chengsheng Mao, Yuan Luo
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
arXiv admin note: text overlap with arXiv:1806.04820 by other authors
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clinical text classification is an important problem in medical natural language processing. Existing studies have conventionally focused on rules or knowledge sources-based feature engineering, but only a few have exploited effective feature learning capability of deep learning methods. In this study, we propose a n...
[ { "created": "Tue, 17 Jul 2018 20:00:41 GMT", "version": "v1" }, { "created": "Fri, 20 Jul 2018 04:27:30 GMT", "version": "v2" } ]
2018-07-23
[ [ "Yao", "Liang", "" ], [ "Mao", "Chengsheng", "" ], [ "Luo", "Yuan", "" ] ]
Clinical text classification is an important problem in medical natural language processing. Existing studies have conventionally focused on rules or knowledge sources-based feature engineering, but only a few have exploited effective feature learning capability of deep learning methods. In this study, we propose a nov...
2208.04709
Chaofeng Wang
Yifeng Tian, Chaofeng Wang, Ashish Asutosh, Junghoon Woo, and Peter Adriaens
Blockchain-enabled tokenization for sustainable and inclusive infrastructure investment
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Infrastructure is critical for enabling society to function and the economy to thrive, but there is an increasing mismatch between the need for infrastructure investments and available capital, which is in consequence of constraints on public resources and limited capacity to leverage the private sector co-financing ...
[ { "created": "Sat, 16 Jul 2022 01:39:33 GMT", "version": "v1" } ]
2022-08-10
[ [ "Tian", "Yifeng", "" ], [ "Wang", "Chaofeng", "" ], [ "Asutosh", "Ashish", "" ], [ "Woo", "Junghoon", "" ], [ "Adriaens", "Peter", "" ] ]
Infrastructure is critical for enabling society to function and the economy to thrive, but there is an increasing mismatch between the need for infrastructure investments and available capital, which is in consequence of constraints on public resources and limited capacity to leverage the private sector co-financing un...
2405.02980
Tanja Katharina Kaiser
Tanja Katharina Kaiser and Heiko Hamann
Self-Organized Construction by Minimal Surprise
Published in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
null
10.1109/FAS-W.2019.00057
null
cs.RO cs.MA cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the robots to achieve a desired behavior, we can program them directly, train them, or give them an innate driver that makes the robots themselves desire the targeted behavior. With the minimal surprise approach, we implant in our robots the desire to make their world predictable. Here, we apply minimal surprise ...
[ { "created": "Sun, 5 May 2024 15:59:22 GMT", "version": "v1" } ]
2024-05-07
[ [ "Kaiser", "Tanja Katharina", "" ], [ "Hamann", "Heiko", "" ] ]
For the robots to achieve a desired behavior, we can program them directly, train them, or give them an innate driver that makes the robots themselves desire the targeted behavior. With the minimal surprise approach, we implant in our robots the desire to make their world predictable. Here, we apply minimal surprise to...
2010.04209
Manuel Weber
Manuel Weber, Christoph Doblander and Peter Mandl
Towards the Detection of Building Occupancy with Synthetic Environmental Data
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information about room-level occupancy is crucial to many building-related tasks, such as building automation or energy performance simulation. Current occupancy detection literature focuses on data-driven methods, but is mostly based on small case studies with few rooms. The necessity to collect room-specific data f...
[ { "created": "Thu, 8 Oct 2020 18:41:48 GMT", "version": "v1" } ]
2020-10-12
[ [ "Weber", "Manuel", "" ], [ "Doblander", "Christoph", "" ], [ "Mandl", "Peter", "" ] ]
Information about room-level occupancy is crucial to many building-related tasks, such as building automation or energy performance simulation. Current occupancy detection literature focuses on data-driven methods, but is mostly based on small case studies with few rooms. The necessity to collect room-specific data for...
1411.3622
Robert Piro
Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks
Handling owl:sameAs via Rewriting
This is the technical report supporting the AAAI 2015 Conference submission with the same title
null
null
null
cs.DB cs.AI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rewriting is widely used to optimise owl:sameAs reasoning in materialisation based OWL 2 RL systems. We investigate issues related to both the correctness and efficiency of rewriting, and present an algorithm that guarantees correctness, improves efficiency, and can be effectively parallelised. Our evaluation shows t...
[ { "created": "Thu, 13 Nov 2014 17:30:03 GMT", "version": "v1" } ]
2014-11-14
[ [ "Motik", "Boris", "" ], [ "Nenov", "Yavor", "" ], [ "Piro", "Robert", "" ], [ "Horrocks", "Ian", "" ] ]
Rewriting is widely used to optimise owl:sameAs reasoning in materialisation based OWL 2 RL systems. We investigate issues related to both the correctness and efficiency of rewriting, and present an algorithm that guarantees correctness, improves efficiency, and can be effectively parallelised. Our evaluation shows tha...
2204.00292
Zain Ul Abideen
Mahdieh Grailoo, Zain Ul Abideen, Mairo Leier and Samuel Pagliarini
Preventing Distillation-based Attacks on Neural Network IP
null
null
null
null
cs.CR cs.AR cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Neural networks (NNs) are already deployed in hardware today, becoming valuable intellectual property (IP) as many hours are invested in their training and optimization. Therefore, attackers may be interested in copying, reverse engineering, or even modifying this IP. The current practices in hardware obfuscation, in...
[ { "created": "Fri, 1 Apr 2022 08:53:57 GMT", "version": "v1" } ]
2022-04-04
[ [ "Grailoo", "Mahdieh", "" ], [ "Abideen", "Zain Ul", "" ], [ "Leier", "Mairo", "" ], [ "Pagliarini", "Samuel", "" ] ]
Neural networks (NNs) are already deployed in hardware today, becoming valuable intellectual property (IP) as many hours are invested in their training and optimization. Therefore, attackers may be interested in copying, reverse engineering, or even modifying this IP. The current practices in hardware obfuscation, incl...
1605.05795
Sarmad Hanif
Sarmad Hanif, D.F.R. Melo, Mehdi Maasoumy, Tobias Massier, Thomas Hamacher, Thomas Reindl
Robust Reserve Capacity Provision and Peak Load Reduction from Buildings in Smart Grids
null
null
10.1109/PESGM.2016.7741399
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a robust demand-side control algorithm in a smart grid environment for heating, ventilation and air conditioning (HVAC) systems. A robust model predictive control (RMPC) scheme in a receding horizon fashion is deployed, which optimizes electricity cost and capacity market participation of the HVAC...
[ { "created": "Thu, 19 May 2016 02:22:17 GMT", "version": "v1" }, { "created": "Tue, 24 May 2016 00:17:26 GMT", "version": "v2" } ]
2018-06-25
[ [ "Hanif", "Sarmad", "" ], [ "Melo", "D. F. R.", "" ], [ "Maasoumy", "Mehdi", "" ], [ "Massier", "Tobias", "" ], [ "Hamacher", "Thomas", "" ], [ "Reindl", "Thomas", "" ] ]
This paper proposes a robust demand-side control algorithm in a smart grid environment for heating, ventilation and air conditioning (HVAC) systems. A robust model predictive control (RMPC) scheme in a receding horizon fashion is deployed, which optimizes electricity cost and capacity market participation of the HVAC s...
1811.03503
Ilya Sergey
Nikos Gorogiannis, Peter W. O'Hearn, Ilya Sergey
A True Positives Theorem for a Static Race Detector - Extended Version
null
Proc. ACM Program. Lang. 3, POPL, Article 57 (January 2019)
10.1145/3290370
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
RacerD is a static race detector that has been proven to be effective in engineering practice: it has seen thousands of data races fixed by developers before reaching production, and has supported the migration of Facebook's Android app rendering infrastructure from a single-threaded to a multi-threaded architecture....
[ { "created": "Thu, 8 Nov 2018 15:44:59 GMT", "version": "v1" } ]
2018-11-09
[ [ "Gorogiannis", "Nikos", "" ], [ "O'Hearn", "Peter W.", "" ], [ "Sergey", "Ilya", "" ] ]
RacerD is a static race detector that has been proven to be effective in engineering practice: it has seen thousands of data races fixed by developers before reaching production, and has supported the migration of Facebook's Android app rendering infrastructure from a single-threaded to a multi-threaded architecture. W...
2210.16960
Khyathi Raghavi Chandu
Khyathi Raghavi Chandu, Alborz Geramifard
Multilingual Multimodality: A Taxonomical Survey of Datasets, Techniques, Challenges and Opportunities
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Contextualizing language technologies beyond a single language kindled embracing multiple modalities and languages. Individually, each of these directions undoubtedly proliferated into several NLP tasks. Despite this momentum, most of the multimodal research is primarily centered around English and multilingual resea...
[ { "created": "Sun, 30 Oct 2022 21:46:01 GMT", "version": "v1" } ]
2022-11-01
[ [ "Chandu", "Khyathi Raghavi", "" ], [ "Geramifard", "Alborz", "" ] ]
Contextualizing language technologies beyond a single language kindled embracing multiple modalities and languages. Individually, each of these directions undoubtedly proliferated into several NLP tasks. Despite this momentum, most of the multimodal research is primarily centered around English and multilingual researc...
2202.02628
Wenxiao Wang
Wenxiao Wang, Alexander Levine, Soheil Feizi
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
International Conference on Machine Learning (ICML), 2022
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:22769-22783, 2022
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data poisoning attacks aim at manipulating model behaviors through distorting training data. Previously, an aggregation-based certified defense, Deep Partition Aggregation (DPA), was proposed to mitigate this threat. DPA predicts through an aggregation of base classifiers trained on disjoint subsets of data, thus res...
[ { "created": "Sat, 5 Feb 2022 20:08:58 GMT", "version": "v1" }, { "created": "Tue, 28 Jun 2022 04:39:30 GMT", "version": "v2" }, { "created": "Thu, 14 Jul 2022 15:02:04 GMT", "version": "v3" } ]
2022-07-15
[ [ "Wang", "Wenxiao", "" ], [ "Levine", "Alexander", "" ], [ "Feizi", "Soheil", "" ] ]
Data poisoning attacks aim at manipulating model behaviors through distorting training data. Previously, an aggregation-based certified defense, Deep Partition Aggregation (DPA), was proposed to mitigate this threat. DPA predicts through an aggregation of base classifiers trained on disjoint subsets of data, thus restr...
1805.06597
Kai Chen
Kai Chen, Liangming Wu, Changlong Xu, Jian Li, Hao Xu, and Jing Jiang
ARUM: Polar Coded HARQ Scheme based on Incremental Channel Polarization
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A hybrid ARQ (HARQ) scheme for polar code, which is called active-bit relocation under masks (ARUM), is proposed. In each transmission, the data bits are encoded and bit-wisely XOR-masked using a binary vector before being transmitted through the channel. The masking process combines multiple transmissions together w...
[ { "created": "Thu, 17 May 2018 04:06:35 GMT", "version": "v1" } ]
2018-05-18
[ [ "Chen", "Kai", "" ], [ "Wu", "Liangming", "" ], [ "Xu", "Changlong", "" ], [ "Li", "Jian", "" ], [ "Xu", "Hao", "" ], [ "Jiang", "Jing", "" ] ]
A hybrid ARQ (HARQ) scheme for polar code, which is called active-bit relocation under masks (ARUM), is proposed. In each transmission, the data bits are encoded and bit-wisely XOR-masked using a binary vector before being transmitted through the channel. The masking process combines multiple transmissions together whi...
1905.12009
Yingdong Lu
Yingdong Lu and Mark S. Squillante and Chai Wah Wu
A General Markov Decision Process Framework for Directly Learning Optimal Control Policies
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a new form of reinforcement learning (RL) that is based on opportunities to directly learn the optimal control policy and a general Markov decision process (MDP) framework devised to support these opportunities. Derivations of general classes of our control-based RL methods are presented, together with fo...
[ { "created": "Tue, 28 May 2019 18:16:03 GMT", "version": "v1" }, { "created": "Thu, 1 Apr 2021 02:10:55 GMT", "version": "v2" } ]
2021-04-02
[ [ "Lu", "Yingdong", "" ], [ "Squillante", "Mark S.", "" ], [ "Wu", "Chai Wah", "" ] ]
We consider a new form of reinforcement learning (RL) that is based on opportunities to directly learn the optimal control policy and a general Markov decision process (MDP) framework devised to support these opportunities. Derivations of general classes of our control-based RL methods are presented, together with form...
0907.3123
Olivier Bournez
Emmanuel Beffara, Olivier Bournez, Hassen Kacem, Claude Kirchner
Verification of Timed Automata Using Rewrite Rules and Strategies
In the Proceedings BISFAI 2001, Seventh Biennial Bar-Ilan International Symposium on the Foundations of Artificial Intelligence. Ramat-Gan, 2001
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
ELAN is a powerful language and environment for specifying and prototyping deduction systems in a language based on rewrite rules controlled by strategies. Timed automata is a class of continuous real-time models of reactive systems for which efficient model-checking algorithms have been devised. In this paper, we sh...
[ { "created": "Fri, 17 Jul 2009 17:40:04 GMT", "version": "v1" } ]
2009-07-20
[ [ "Beffara", "Emmanuel", "" ], [ "Bournez", "Olivier", "" ], [ "Kacem", "Hassen", "" ], [ "Kirchner", "Claude", "" ] ]
ELAN is a powerful language and environment for specifying and prototyping deduction systems in a language based on rewrite rules controlled by strategies. Timed automata is a class of continuous real-time models of reactive systems for which efficient model-checking algorithms have been devised. In this paper, we show...
1210.7283
Fuyuki Ishikawa
David Basin, Andreas F\"urst, Thai Son Hoang, Kunihiko Miyazaki and Naoto Sato
Abstract Data Types in Event-B - An Application of Generic Instantiation
In Proceedings of DS-Event-B 2012: Workshop on the experience of and advances in developing dependable systems in Event-B, in conjunction with ICFEM 2012 - Kyoto, Japan, November 13, 2012
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrating formal methods into industrial practice is a challenging task. Often, different kinds of expertise are required within the same development. On the one hand, there are domain engineers who have specific knowledge of the system under development. On the other hand, there are formal methods experts who have...
[ { "created": "Sat, 27 Oct 2012 03:01:38 GMT", "version": "v1" } ]
2012-10-30
[ [ "Basin", "David", "" ], [ "Fürst", "Andreas", "" ], [ "Hoang", "Thai Son", "" ], [ "Miyazaki", "Kunihiko", "" ], [ "Sato", "Naoto", "" ] ]
Integrating formal methods into industrial practice is a challenging task. Often, different kinds of expertise are required within the same development. On the one hand, there are domain engineers who have specific knowledge of the system under development. On the other hand, there are formal methods experts who have e...
1810.03355
Adrien Wion
Adrien Wion, Mathieu Bouet, Luigi Iannone, Vania Conan
Distributed Function Chaining with Anycast Routing
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current networks more and more rely on virtualized middleboxes to flexibly provide security, protocol optimization, and policy compliance functionalities. As such, delivering these services requires that the traffic be steered through the desired sequence of virtual appliances. Current solutions introduce a new logic...
[ { "created": "Mon, 8 Oct 2018 10:01:50 GMT", "version": "v1" } ]
2018-10-09
[ [ "Wion", "Adrien", "" ], [ "Bouet", "Mathieu", "" ], [ "Iannone", "Luigi", "" ], [ "Conan", "Vania", "" ] ]
Current networks more and more rely on virtualized middleboxes to flexibly provide security, protocol optimization, and policy compliance functionalities. As such, delivering these services requires that the traffic be steered through the desired sequence of virtual appliances. Current solutions introduce a new logical...
1708.06312
Linda Anticoli
Linda Anticoli and Carla Piazza and Leonardo Taglialegne and Paolo Zuliani
Verifying Quantum Programs: From Quipper to QPMC
Long version
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
In this paper we present a translation from the quantum programming language Quipper to the QPMC model checker, with the main aim of verifying Quipper programs. Quipper is an embedded functional programming language for quantum computation. It is above all a circuit description language, for this reason it uses the v...
[ { "created": "Mon, 21 Aug 2017 16:26:23 GMT", "version": "v1" } ]
2017-08-22
[ [ "Anticoli", "Linda", "" ], [ "Piazza", "Carla", "" ], [ "Taglialegne", "Leonardo", "" ], [ "Zuliani", "Paolo", "" ] ]
In this paper we present a translation from the quantum programming language Quipper to the QPMC model checker, with the main aim of verifying Quipper programs. Quipper is an embedded functional programming language for quantum computation. It is above all a circuit description language, for this reason it uses the vec...
2311.10177
Shashank Kotyan
Shashank Kotyan and Danilo Vasconcellos Vargas
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
arXiv admin note: substantial text overlap with arXiv:2311.07928; text overlap with arXiv:1903.12261 by other authors
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Neural networks have demonstrated significant accuracy across various domains, yet their vulnerability to subtle input alterations remains a persistent challenge. Conventional methods like data augmentation, while effective to some extent, fall short in addressing unforeseen corruptions, limiting the adaptability of ...
[ { "created": "Thu, 16 Nov 2023 20:09:47 GMT", "version": "v1" } ]
2023-11-20
[ [ "Kotyan", "Shashank", "" ], [ "Vargas", "Danilo Vasconcellos", "" ] ]
Neural networks have demonstrated significant accuracy across various domains, yet their vulnerability to subtle input alterations remains a persistent challenge. Conventional methods like data augmentation, while effective to some extent, fall short in addressing unforeseen corruptions, limiting the adaptability of ne...
2406.16129
Pengfei Zhang
Pengfei Zhang, Chang Li, Yongjun Zhang and Rongjun Qin
UDHF2-Net: An Uncertainty-diffusion-model-based High-Frequency TransFormer Network for High-accuracy Interpretation of Remotely Sensed Imagery
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Remotely sensed image high-accuracy interpretation (RSIHI), including tasks such as semantic segmentation and change detection, faces the three major problems: (1) complementarity problem of spatially stationary-and-non-stationary frequency; (2) edge uncertainty problem caused by down-sampling in the encoder step and...
[ { "created": "Sun, 23 Jun 2024 15:03:35 GMT", "version": "v1" } ]
2024-06-25
[ [ "Zhang", "Pengfei", "" ], [ "Li", "Chang", "" ], [ "Zhang", "Yongjun", "" ], [ "Qin", "Rongjun", "" ] ]
Remotely sensed image high-accuracy interpretation (RSIHI), including tasks such as semantic segmentation and change detection, faces the three major problems: (1) complementarity problem of spatially stationary-and-non-stationary frequency; (2) edge uncertainty problem caused by down-sampling in the encoder step and i...
1706.08224
Yi Zhang
Sanjeev Arora, Yi Zhang
Do GANs actually learn the distribution? An empirical study
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Do GANS (Generative Adversarial Nets) actually learn the target distribution? The foundational paper of (Goodfellow et al 2014) suggested they do, if they were given sufficiently large deep nets, sample size, and computation time. A recent theoretical analysis in Arora et al (to appear at ICML 2017) raised doubts whe...
[ { "created": "Mon, 26 Jun 2017 04:21:14 GMT", "version": "v1" }, { "created": "Sat, 1 Jul 2017 03:25:50 GMT", "version": "v2" } ]
2017-07-04
[ [ "Arora", "Sanjeev", "" ], [ "Zhang", "Yi", "" ] ]
Do GANS (Generative Adversarial Nets) actually learn the target distribution? The foundational paper of (Goodfellow et al 2014) suggested they do, if they were given sufficiently large deep nets, sample size, and computation time. A recent theoretical analysis in Arora et al (to appear at ICML 2017) raised doubts wheth...
2105.01735
Piotr Rybak
Robert Mroczkowski, Piotr Rybak, Alina Wr\'oblewska, Ireneusz Gawlik
HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
Published in Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
BERT-based models are currently used for solving nearly all Natural Language Processing (NLP) tasks and most often achieve state-of-the-art results. Therefore, the NLP community conducts extensive research on understanding these models, but above all on designing effective and efficient training procedures. Several a...
[ { "created": "Tue, 4 May 2021 20:16:17 GMT", "version": "v1" } ]
2021-05-06
[ [ "Mroczkowski", "Robert", "" ], [ "Rybak", "Piotr", "" ], [ "Wróblewska", "Alina", "" ], [ "Gawlik", "Ireneusz", "" ] ]
BERT-based models are currently used for solving nearly all Natural Language Processing (NLP) tasks and most often achieve state-of-the-art results. Therefore, the NLP community conducts extensive research on understanding these models, but above all on designing effective and efficient training procedures. Several abl...
2401.05603
Shagun Jhaver
Shagun Jhaver
Personal Moderation Configurations on Facebook: Exploring the Role of FoMO, Social Media Addiction, Norms, and Platform Trust
null
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Personal moderation tools on social media platforms let users control their news feeds by configuring acceptable toxicity thresholds for their feed content or muting inappropriate accounts. This research examines how four critical psychosocial factors - fear of missing out (FoMO), social media addiction, subjective n...
[ { "created": "Thu, 11 Jan 2024 00:28:57 GMT", "version": "v1" }, { "created": "Sun, 3 Mar 2024 21:42:24 GMT", "version": "v2" } ]
2024-03-05
[ [ "Jhaver", "Shagun", "" ] ]
Personal moderation tools on social media platforms let users control their news feeds by configuring acceptable toxicity thresholds for their feed content or muting inappropriate accounts. This research examines how four critical psychosocial factors - fear of missing out (FoMO), social media addiction, subjective nor...
2104.01161
Lam Pham
Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark Plumbley
An Audio-Based Deep Learning Framework For BBC Television Programme Classification
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a deep learning framework for classification of BBC television programmes using audio. The audio is firstly transformed into spectrograms, which are fed into a pre-trained convolutional Neural Network (CNN), obtaining predicted probabilities of sound events occurring in the audio recording. Statis...
[ { "created": "Fri, 2 Apr 2021 17:26:00 GMT", "version": "v1" }, { "created": "Fri, 11 Feb 2022 09:38:56 GMT", "version": "v2" } ]
2022-02-14
[ [ "Pham", "Lam", "" ], [ "Baume", "Chris", "" ], [ "Kong", "Qiuqiang", "" ], [ "Hussain", "Tassadaq", "" ], [ "Wang", "Wenwu", "" ], [ "Plumbley", "Mark", "" ] ]
This paper proposes a deep learning framework for classification of BBC television programmes using audio. The audio is firstly transformed into spectrograms, which are fed into a pre-trained convolutional Neural Network (CNN), obtaining predicted probabilities of sound events occurring in the audio recording. Statisti...
2105.00417
Roberto Blanco
Sean Noble Anderson, Roberto Blanco, Leonidas Lampropoulos, Benjamin C. Pierce, and Andrew Tolmach
Formalizing Stack Safety as a Security Property
null
Proceedings of the 2023 IEEE 36th Computer Security Foundations Symposium (CSF)
10.1109/CSF57540.2023.00037
null
cs.PL cs.CR
http://creativecommons.org/licenses/by/4.0/
The term stack safety is used to describe a variety of compiler, run-time, and hardware mechanisms for protecting stack memory. Unlike "the heap," the ISA-level stack does not correspond to a single high-level language concept: different compilers use it in different ways to support procedural and functional abstract...
[ { "created": "Sun, 2 May 2021 08:18:34 GMT", "version": "v1" }, { "created": "Sat, 13 Nov 2021 21:10:32 GMT", "version": "v2" }, { "created": "Sat, 11 Feb 2023 03:58:42 GMT", "version": "v3" }, { "created": "Thu, 21 Mar 2024 10:28:34 GMT", "version": "v4" } ]
2024-03-22
[ [ "Anderson", "Sean Noble", "" ], [ "Blanco", "Roberto", "" ], [ "Lampropoulos", "Leonidas", "" ], [ "Pierce", "Benjamin C.", "" ], [ "Tolmach", "Andrew", "" ] ]
The term stack safety is used to describe a variety of compiler, run-time, and hardware mechanisms for protecting stack memory. Unlike "the heap," the ISA-level stack does not correspond to a single high-level language concept: different compilers use it in different ways to support procedural and functional abstractio...
2311.12226
Fikret Basic
Fikret Basic, Claudia Rosina Laube, Patrick Stratznig, Christian Steger, Robert Kofler
Wireless BMS Architecture for Secure Readout in Vehicle and Second life Applications
Accepted copy for Publication at the 8th IEEE International Conference on Smart and Sustainable Technologies, 2023
null
10.23919/SpliTech58164.2023.10193573
null
cs.AR cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Battery management systems (BMS) are becoming increasingly important in the modern age, where clean energy awareness is getting more prominent. They are responsible for controlling large battery packs in modern electric vehicles. However, conventional solutions rely only on a wired design, which adds manufacturing co...
[ { "created": "Mon, 20 Nov 2023 22:53:42 GMT", "version": "v1" } ]
2023-11-22
[ [ "Basic", "Fikret", "" ], [ "Laube", "Claudia Rosina", "" ], [ "Stratznig", "Patrick", "" ], [ "Steger", "Christian", "" ], [ "Kofler", "Robert", "" ] ]
Battery management systems (BMS) are becoming increasingly important in the modern age, where clean energy awareness is getting more prominent. They are responsible for controlling large battery packs in modern electric vehicles. However, conventional solutions rely only on a wired design, which adds manufacturing cost...
2405.10129
Chidimma Opara Dr
Chidimma Opara
StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis
25th International Conference on Artificial on Artificial Intelligence in Education(AIED 2024)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The emergence of large language models (LLMs) capable of generating realistic texts and images has sparked ethical concerns across various sectors. In response, researchers in academia and industry are actively exploring methods to distinguish AI-generated content from human-authored material. However, a crucial ques...
[ { "created": "Thu, 16 May 2024 14:28:01 GMT", "version": "v1" } ]
2024-05-17
[ [ "Opara", "Chidimma", "" ] ]
The emergence of large language models (LLMs) capable of generating realistic texts and images has sparked ethical concerns across various sectors. In response, researchers in academia and industry are actively exploring methods to distinguish AI-generated content from human-authored material. However, a crucial questi...
2210.04829
Pinelopi Papalampidi
Pinelopi Papalampidi, Mirella Lapata
Hierarchical3D Adapters for Long Video-to-text Summarization
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we focus on video-to-text summarization and investigate how to best utilize multimodal information for summarizing long inputs (e.g., an hour-long TV show) into long outputs (e.g., a multi-sentence summary). We extend SummScreen (Chen et al., 2021), a dialogue summarization dataset consisting of transc...
[ { "created": "Mon, 10 Oct 2022 16:44:36 GMT", "version": "v1" } ]
2022-10-11
[ [ "Papalampidi", "Pinelopi", "" ], [ "Lapata", "Mirella", "" ] ]
In this paper, we focus on video-to-text summarization and investigate how to best utilize multimodal information for summarizing long inputs (e.g., an hour-long TV show) into long outputs (e.g., a multi-sentence summary). We extend SummScreen (Chen et al., 2021), a dialogue summarization dataset consisting of transcri...
2406.16524
Haryo Akbarianto Wibowo
Haryo Akbarianto Wibowo, Thamar Solorio, Alham Fikri Aji
The Privileged Students: On the Value of Initialization in Multilingual Knowledge Distillation
8 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Knowledge distillation (KD) has proven to be a successful strategy to improve the performance of a smaller model in many NLP tasks. However, most of the work in KD only explores monolingual scenarios. In this paper, we investigate the value of KD in multilingual settings. We find the significance of KD and model init...
[ { "created": "Mon, 24 Jun 2024 10:59:26 GMT", "version": "v1" } ]
2024-06-25
[ [ "Wibowo", "Haryo Akbarianto", "" ], [ "Solorio", "Thamar", "" ], [ "Aji", "Alham Fikri", "" ] ]
Knowledge distillation (KD) has proven to be a successful strategy to improve the performance of a smaller model in many NLP tasks. However, most of the work in KD only explores monolingual scenarios. In this paper, we investigate the value of KD in multilingual settings. We find the significance of KD and model initia...
2403.08018
Mehdi Miah
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
Learning Data Association for Multi-Object Tracking using Only Coordinates
Preprint submitted to Pattern Recognition
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel Transformer-based module to address the data association problem for multi-object tracking. From detections obtained by a pretrained detector, this module uses only coordinates from bounding boxes to estimate an affinity score between pairs of tracks extracted from two distinct temporal windows. Th...
[ { "created": "Tue, 12 Mar 2024 18:36:18 GMT", "version": "v1" } ]
2024-03-14
[ [ "Miah", "Mehdi", "" ], [ "Bilodeau", "Guillaume-Alexandre", "" ], [ "Saunier", "Nicolas", "" ] ]
We propose a novel Transformer-based module to address the data association problem for multi-object tracking. From detections obtained by a pretrained detector, this module uses only coordinates from bounding boxes to estimate an affinity score between pairs of tracks extracted from two distinct temporal windows. This...
2003.12428
Yurui Ming
Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin
A General Approach for Using Deep Neural Network for Digital Watermarking
null
null
null
null
cs.MM cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Technologies of the Internet of Things (IoT) facilitate digital contents such as images being acquired in a massive way. However, consideration from the privacy or legislation perspective still demands the need for intellectual content protection. In this paper, we propose a general deep neural network (DNN) based wa...
[ { "created": "Sun, 8 Mar 2020 06:22:04 GMT", "version": "v1" } ]
2020-03-30
[ [ "Ming", "Yurui", "" ], [ "Ding", "Weiping", "" ], [ "Cao", "Zehong", "" ], [ "Lin", "Chin-Teng", "" ] ]
Technologies of the Internet of Things (IoT) facilitate digital contents such as images being acquired in a massive way. However, consideration from the privacy or legislation perspective still demands the need for intellectual content protection. In this paper, we propose a general deep neural network (DNN) based wate...
1507.06266
Mariella Dimiccoli
Mariella Dimiccoli, Jean-Pascal Jacob, Lionel Moisan
Particle detection and tracking in fluorescence time-lapse imaging: a contrario approach
Published in Journal of Machine Vision and Applications
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a probabilistic approach for the detection and the tracking of particles in fluorescent time-lapse imaging. In the presence of a very noised and poor-quality data, particles and trajectories can be characterized by an a contrario model, that estimates the probability of observing the structures of...
[ { "created": "Wed, 22 Jul 2015 17:43:54 GMT", "version": "v1" }, { "created": "Fri, 28 Aug 2015 10:30:47 GMT", "version": "v2" }, { "created": "Sat, 9 Jan 2016 12:41:56 GMT", "version": "v3" }, { "created": "Tue, 23 Feb 2016 12:21:10 GMT", "version": "v4" }, { "cr...
2017-04-04
[ [ "Dimiccoli", "Mariella", "" ], [ "Jacob", "Jean-Pascal", "" ], [ "Moisan", "Lionel", "" ] ]
This paper proposes a probabilistic approach for the detection and the tracking of particles in fluorescent time-lapse imaging. In the presence of a very noised and poor-quality data, particles and trajectories can be characterized by an a contrario model, that estimates the probability of observing the structures of i...
1603.07010
Amin Sakzad
Hassan Khodaiemehr, Mohammad-Reza Sadeghi, and Amin Sakzad
Practical Encoder and Decoder for Power Constrained QC-LDPC lattices
Submitted for possible publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
LDPC lattices were the first family of lattices that equipped with iterative decoding algorithms under which they perform very well in high dimensions. In this paper, we introduce quasi cyclic low density parity check (QC-LDPC) lattices as a special case of LDPC lattices with one binary QC-LDPC code as their underlyi...
[ { "created": "Tue, 22 Mar 2016 22:13:27 GMT", "version": "v1" } ]
2016-03-24
[ [ "Khodaiemehr", "Hassan", "" ], [ "Sadeghi", "Mohammad-Reza", "" ], [ "Sakzad", "Amin", "" ] ]
LDPC lattices were the first family of lattices that equipped with iterative decoding algorithms under which they perform very well in high dimensions. In this paper, we introduce quasi cyclic low density parity check (QC-LDPC) lattices as a special case of LDPC lattices with one binary QC-LDPC code as their underlying...
2106.07157
Shoken Kaneko
Shoken Kaneko and Ramani Duraiswami
Multiple scattering ambisonics: three-dimensional sound field estimation using interacting spheres
null
JASA Express Lett. 1 (8), 084801 (2021)
10.1121/10.0005832
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Rigid spherical microphone arrays (RSMAs) have been widely used in ambisonics sound field recording. While it is desired to combine the information captured by a grid of densely arranged RSMAs for expanding the area of accurate reconstruction, or sweet-spots, this is not trivial due to inter-array interference. Here ...
[ { "created": "Mon, 14 Jun 2021 04:32:36 GMT", "version": "v1" }, { "created": "Sun, 15 Aug 2021 05:16:19 GMT", "version": "v2" } ]
2021-08-17
[ [ "Kaneko", "Shoken", "" ], [ "Duraiswami", "Ramani", "" ] ]
Rigid spherical microphone arrays (RSMAs) have been widely used in ambisonics sound field recording. While it is desired to combine the information captured by a grid of densely arranged RSMAs for expanding the area of accurate reconstruction, or sweet-spots, this is not trivial due to inter-array interference. Here we...
2110.08512
Mehdi Bahrami
Mehdi Bahrami, N.C. Shrikanth, Yuji Mizobuchi, Lei Liu, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata
AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models
7 pages, 2 figures, 5 tables, 1 video
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by/4.0/
Code retrieval is allowing software engineers to search codes through a natural language query, which relies on both natural language processing and software engineering techniques. There have been several attempts on code retrieval from searching snippet codes to function codes. In this paper, we introduce Augmented...
[ { "created": "Sat, 16 Oct 2021 08:44:48 GMT", "version": "v1" } ]
2021-10-19
[ [ "Bahrami", "Mehdi", "" ], [ "Shrikanth", "N. C.", "" ], [ "Mizobuchi", "Yuji", "" ], [ "Liu", "Lei", "" ], [ "Fukuyori", "Masahiro", "" ], [ "Chen", "Wei-Peng", "" ], [ "Munakata", "Kazuki", "" ] ]
Code retrieval is allowing software engineers to search codes through a natural language query, which relies on both natural language processing and software engineering techniques. There have been several attempts on code retrieval from searching snippet codes to function codes. In this paper, we introduce Augmented C...
2406.08572
Xuan Nhat Hoang
Nhat Hoang-Xuan, Minh Vu, My T. Thai
LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Providing textual concept-based explanations for neurons in deep neural networks (DNNs) is of importance in understanding how a DNN model works. Prior works have associated concepts with neurons based on examples of concepts or a pre-defined set of concepts, thus limiting possible explanations to what the user expect...
[ { "created": "Wed, 12 Jun 2024 18:19:37 GMT", "version": "v1" } ]
2024-06-14
[ [ "Hoang-Xuan", "Nhat", "" ], [ "Vu", "Minh", "" ], [ "Thai", "My T.", "" ] ]
Providing textual concept-based explanations for neurons in deep neural networks (DNNs) is of importance in understanding how a DNN model works. Prior works have associated concepts with neurons based on examples of concepts or a pre-defined set of concepts, thus limiting possible explanations to what the user expects,...
2101.01835
Blanca Vazquez
Blanca Vazquez, Gibran Fuentes-Pineda, Fabian Garcia, Gabriela Borrayo, Juan Prohias
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach
Accepted article: Informatics in Medicine Unlocked
null
null
null
cs.LG stat.AP
http://creativecommons.org/licenses/by/4.0/
Background: Several studies have highlighted the importance of considering sex differences in the diagnosis and treatment of Acute Coronary Syndrome (ACS). However, the identification of sex-specific risk markers in ACS sub-populations has been scarcely studied. The present study aims to explore machine learning (ML)...
[ { "created": "Wed, 6 Jan 2021 00:56:54 GMT", "version": "v1" }, { "created": "Mon, 4 Oct 2021 17:31:32 GMT", "version": "v2" }, { "created": "Wed, 17 Nov 2021 20:13:46 GMT", "version": "v3" } ]
2021-11-19
[ [ "Vazquez", "Blanca", "" ], [ "Fuentes-Pineda", "Gibran", "" ], [ "Garcia", "Fabian", "" ], [ "Borrayo", "Gabriela", "" ], [ "Prohias", "Juan", "" ] ]
Background: Several studies have highlighted the importance of considering sex differences in the diagnosis and treatment of Acute Coronary Syndrome (ACS). However, the identification of sex-specific risk markers in ACS sub-populations has been scarcely studied. The present study aims to explore machine learning (ML) m...
2103.05632
Molei Tao
Renyi Chen and Molei Tao
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
17 pages, 7 figures. ICML 2021
null
null
null
cs.LG cs.NA math.DS math.NA physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the learning and prediction of nonlinear time series generated by a latent symplectic map. A special case is (not necessarily separable) Hamiltonian systems, whose solution flows give such symplectic maps. For this special case, both generic approaches based on learning the vector field of the latent ODE ...
[ { "created": "Tue, 9 Mar 2021 18:59:36 GMT", "version": "v1" }, { "created": "Sat, 12 Jun 2021 20:43:34 GMT", "version": "v2" } ]
2021-06-15
[ [ "Chen", "Renyi", "" ], [ "Tao", "Molei", "" ] ]
We consider the learning and prediction of nonlinear time series generated by a latent symplectic map. A special case is (not necessarily separable) Hamiltonian systems, whose solution flows give such symplectic maps. For this special case, both generic approaches based on learning the vector field of the latent ODE an...
0910.3736
Bingbing Xia
Bingbing Xia, Fei Qiao, Huazhong Yang, and Hui Wang
A Fault-tolerant Structure for Reliable Multi-core Systems Based on Hardware-Software Co-design
7 pages, 5 figures
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null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To cope with the soft errors and make full use of the multi-core system, this paper gives an efficient fault-tolerant hardware and software co-designed architecture for multi-core systems. And with a not large number of test patterns, it will use less than 33% hardware resources compared with the traditional hardware...
[ { "created": "Tue, 20 Oct 2009 04:01:51 GMT", "version": "v1" } ]
2016-09-08
[ [ "Xia", "Bingbing", "" ], [ "Qiao", "Fei", "" ], [ "Yang", "Huazhong", "" ], [ "Wang", "Hui", "" ] ]
To cope with the soft errors and make full use of the multi-core system, this paper gives an efficient fault-tolerant hardware and software co-designed architecture for multi-core systems. And with a not large number of test patterns, it will use less than 33% hardware resources compared with the traditional hardware r...