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2107.01799
Isaac Sledge
Isaac J. Sledge and Jose C. Principe
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains
Submitted to IEEE ICASSP. arXiv admin note: substantial text overlap with arXiv:1903.09266
null
10.1109/ICASSP.2019.8682473
null
cs.IT cs.LG math.IT
http://creativecommons.org/licenses/by/4.0/
A fundamental problem when aggregating Markov chains is the specification of the number of state groups. Too few state groups may fail to sufficiently capture the pertinent dynamics of the original, high-order Markov chain. Too many state groups may lead to a non-parsimonious, reduced-order Markov chain whose complex...
[ { "created": "Mon, 5 Jul 2021 05:36:04 GMT", "version": "v1" } ]
2021-07-06
[ [ "Sledge", "Isaac J.", "" ], [ "Principe", "Jose C.", "" ] ]
A fundamental problem when aggregating Markov chains is the specification of the number of state groups. Too few state groups may fail to sufficiently capture the pertinent dynamics of the original, high-order Markov chain. Too many state groups may lead to a non-parsimonious, reduced-order Markov chain whose complexit...
2102.01884
Bekir Sait Ciftler
Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed Abdallah, Mounir Hamdi
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks
6 pages, 4 figures, accepted to IEEE ICC 2021
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light communication (VLC) access points (APs). The users are capable of multihoming, which can bridge RF and VLC links for accommodating their band...
[ { "created": "Wed, 3 Feb 2021 05:42:49 GMT", "version": "v1" } ]
2021-02-04
[ [ "Ciftler", "Bekir Sait", "" ], [ "Alwarafy", "Abdulmalik", "" ], [ "Abdallah", "Mohamed", "" ], [ "Hamdi", "Mounir", "" ] ]
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light communication (VLC) access points (APs). The users are capable of multihoming, which can bridge RF and VLC links for accommodating their bandwi...
1904.07331
Niki Gitinabard
Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, and Sarah Heckman
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
Published in the International Conference on Educational Data Mining (EDM 2018)
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs, this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may not apply in blended courses with face to face and online components. We report ...
[ { "created": "Mon, 15 Apr 2019 21:18:13 GMT", "version": "v1" } ]
2019-04-17
[ [ "Sheshadri", "Adithya", "" ], [ "Gitinabard", "Niki", "" ], [ "Lynch", "Collin F.", "" ], [ "Barnes", "Tiffany", "" ], [ "Heckman", "Sarah", "" ] ]
Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs, this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may not apply in blended courses with face to face and online components. We report on...
2107.06552
Young Eun Kim
Young Eun Kim and Seong-Whan Lee
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face anti-spoofing (FAS) plays an important role in protecting face recognition systems from face representation attacks. Many recent studies in FAS have approached this problem with domain generalization technique. Domain generalization aims to increase generalization performance to better detect various types of at...
[ { "created": "Wed, 14 Jul 2021 08:35:07 GMT", "version": "v1" } ]
2021-07-15
[ [ "Kim", "Young Eun", "" ], [ "Lee", "Seong-Whan", "" ] ]
Face anti-spoofing (FAS) plays an important role in protecting face recognition systems from face representation attacks. Many recent studies in FAS have approached this problem with domain generalization technique. Domain generalization aims to increase generalization performance to better detect various types of atta...
2004.13297
Jian Ren
Menglei Chai, Jian Ren, Sergey Tulyakov
Neural Hair Rendering
ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a generic neural-based hair rendering pipeline that can synthesize photo-realistic images from virtual 3D hair models. Unlike existing supervised translation methods that require model-level similarity to preserve consistent structure representation for both real images and fake renderings, ...
[ { "created": "Tue, 28 Apr 2020 04:36:49 GMT", "version": "v1" }, { "created": "Tue, 21 Jul 2020 19:29:30 GMT", "version": "v2" } ]
2020-07-23
[ [ "Chai", "Menglei", "" ], [ "Ren", "Jian", "" ], [ "Tulyakov", "Sergey", "" ] ]
In this paper, we propose a generic neural-based hair rendering pipeline that can synthesize photo-realistic images from virtual 3D hair models. Unlike existing supervised translation methods that require model-level similarity to preserve consistent structure representation for both real images and fake renderings, ou...
1811.12640
Sudeshna Roy
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
Inferring Concept Prerequisite Relations from Online Educational Resources
Accepted at the AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-19)
null
null
null
cs.CL cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet has rich and rapidly increasing sources of high quality educational content. Inferring prerequisite relations between educational concepts is required for modern large-scale online educational technology applications such as personalized recommendations and automatic curriculum creation. We present PRERE...
[ { "created": "Fri, 30 Nov 2018 06:55:20 GMT", "version": "v1" }, { "created": "Wed, 23 Jan 2019 00:39:00 GMT", "version": "v2" } ]
2019-01-24
[ [ "Roy", "Sudeshna", "" ], [ "Madhyastha", "Meghana", "" ], [ "Lawrence", "Sheril", "" ], [ "Rajan", "Vaibhav", "" ] ]
The Internet has rich and rapidly increasing sources of high quality educational content. Inferring prerequisite relations between educational concepts is required for modern large-scale online educational technology applications such as personalized recommendations and automatic curriculum creation. We present PREREQ,...
1910.14634
Reinhard Heckel
Reinhard Heckel and Mahdi Soltanolkotabi
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
final ICRL version; simplifications in the proof
International Conference on Learning Representations (ICLR) 2020
null
null
cs.LG cs.CV cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional Neural Networks (CNNs) have emerged as highly successful tools for image generation, recovery, and restoration. A major contributing factor to this success is that convolutional networks impose strong prior assumptions about natural images. A surprising experiment that highlights this architectural bias...
[ { "created": "Thu, 31 Oct 2019 17:22:00 GMT", "version": "v1" }, { "created": "Sun, 23 Feb 2020 01:49:25 GMT", "version": "v2" } ]
2020-02-25
[ [ "Heckel", "Reinhard", "" ], [ "Soltanolkotabi", "Mahdi", "" ] ]
Convolutional Neural Networks (CNNs) have emerged as highly successful tools for image generation, recovery, and restoration. A major contributing factor to this success is that convolutional networks impose strong prior assumptions about natural images. A surprising experiment that highlights this architectural bias t...
2307.03638
Jianyuan Ni
Jianyuan Ni, Hao Tang, Anne H.H. Ngu, Gaowen Liu, Yan Yan
Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
We will be making some significant changes to the paper, including the title and methodology. We therefore wish to withdraw the paper for now
null
null
null
cs.MM cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wearable sensor-based Human Action Recognition (HAR) has made significant strides in recent times. However, the accuracy performance of wearable sensor-based HAR is currently still lagging behind that of visual modalities-based systems, such as RGB video and depth data. Although diverse input modalities can provide c...
[ { "created": "Fri, 7 Jul 2023 14:57:34 GMT", "version": "v1" }, { "created": "Sun, 19 May 2024 20:39:25 GMT", "version": "v2" } ]
2024-05-21
[ [ "Ni", "Jianyuan", "" ], [ "Tang", "Hao", "" ], [ "Ngu", "Anne H. H.", "" ], [ "Liu", "Gaowen", "" ], [ "Yan", "Yan", "" ] ]
Wearable sensor-based Human Action Recognition (HAR) has made significant strides in recent times. However, the accuracy performance of wearable sensor-based HAR is currently still lagging behind that of visual modalities-based systems, such as RGB video and depth data. Although diverse input modalities can provide com...
1908.02802
Roozbeh Yousefzadeh
Roozbeh Yousefzadeh, Dianne P O'Leary
Investigating Decision Boundaries of Trained Neural Networks
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning models have been the subject of study from various perspectives, for example, their training process, interpretation, generalization error, robustness to adversarial attacks, etc. A trained model is defined by its decision boundaries, and therefore, many of the studies about deep learning models specula...
[ { "created": "Wed, 7 Aug 2019 19:09:22 GMT", "version": "v1" } ]
2019-08-09
[ [ "Yousefzadeh", "Roozbeh", "" ], [ "O'Leary", "Dianne P", "" ] ]
Deep learning models have been the subject of study from various perspectives, for example, their training process, interpretation, generalization error, robustness to adversarial attacks, etc. A trained model is defined by its decision boundaries, and therefore, many of the studies about deep learning models speculate...
2111.08211
Yan Kang
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
null
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
10.24963/ijcai.2022/324
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Federated learning (FL) aims to protect data privacy by enabling clients to build machine learning models collaboratively without sharing their private data. Recent works demonstrate that information exchanged during FL is subject to gradient-based privacy attacks, and consequently, a variety of privacy-preserving me...
[ { "created": "Tue, 16 Nov 2021 03:20:37 GMT", "version": "v1" }, { "created": "Wed, 16 Feb 2022 03:16:52 GMT", "version": "v2" }, { "created": "Sun, 7 Jul 2024 03:57:12 GMT", "version": "v3" } ]
2024-07-09
[ [ "Wu", "Yuezhou", "" ], [ "Kang", "Yan", "" ], [ "Luo", "Jiahuan", "" ], [ "He", "Yuanqin", "" ], [ "Yang", "Qiang", "" ] ]
Federated learning (FL) aims to protect data privacy by enabling clients to build machine learning models collaboratively without sharing their private data. Recent works demonstrate that information exchanged during FL is subject to gradient-based privacy attacks, and consequently, a variety of privacy-preserving meth...
1208.0079
Abhay Jha
Abhay Jha, Dan Suciu
Probabilistic Databases with MarkoViews
VLDB2012
Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 11, pp. 1160-1171 (2012)
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most of the work on query evaluation in probabilistic databases has focused on the simple tuple-independent data model, where tuples are independent random events. Several efficient query evaluation techniques exists in this setting, such as safe plans, algorithms based on OBDDs, tree-decomposition and a variety of a...
[ { "created": "Wed, 1 Aug 2012 03:47:10 GMT", "version": "v1" } ]
2012-08-02
[ [ "Jha", "Abhay", "" ], [ "Suciu", "Dan", "" ] ]
Most of the work on query evaluation in probabilistic databases has focused on the simple tuple-independent data model, where tuples are independent random events. Several efficient query evaluation techniques exists in this setting, such as safe plans, algorithms based on OBDDs, tree-decomposition and a variety of app...
1902.09093
Bishan Yang
Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
published at ACL 2018
ACL 2018
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Question Answering (QA), as a research field, has primarily focused on either knowledge bases (KBs) or free text as a source of knowledge. These two sources have historically shaped the kinds of questions that are asked over these sources, and the methods developed to answer them. In this work, we look towards a prac...
[ { "created": "Mon, 25 Feb 2019 05:04:26 GMT", "version": "v1" } ]
2019-02-26
[ [ "Labutov", "Igor", "" ], [ "Yang", "Bishan", "" ], [ "Prakash", "Anusha", "" ], [ "Azaria", "Amos", "" ] ]
Question Answering (QA), as a research field, has primarily focused on either knowledge bases (KBs) or free text as a source of knowledge. These two sources have historically shaped the kinds of questions that are asked over these sources, and the methods developed to answer them. In this work, we look towards a practi...
1710.02555
Melissa Greeff
Melissa Greeff and Angela P. Schoellig
Model Predictive Path-Following for Constrained Differentially Flat Systems
8 pages, submitted to ICRA 2018
null
null
null
cs.RO cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For many tasks, predictive path-following control can significantly improve the performance and robustness of autonomous robots over traditional trajectory tracking control. It does this by prioritizing closeness to the path over timed progress along the path and by looking ahead to account for changes in the path. W...
[ { "created": "Fri, 6 Oct 2017 18:56:13 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2017 15:24:08 GMT", "version": "v2" } ]
2017-11-03
[ [ "Greeff", "Melissa", "" ], [ "Schoellig", "Angela P.", "" ] ]
For many tasks, predictive path-following control can significantly improve the performance and robustness of autonomous robots over traditional trajectory tracking control. It does this by prioritizing closeness to the path over timed progress along the path and by looking ahead to account for changes in the path. We ...
2008.09511
Peter Lindner
Nofar Carmeli, Martin Grohe, Peter Lindner, Christoph Standke
Tuple-Independent Representations of Infinite Probabilistic Databases
null
null
null
null
cs.DB cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic databases (PDBs) are probability spaces over database instances. They provide a framework for handling uncertainty in databases, as occurs due to data integration, noisy data, data from unreliable sources or randomized processes. Most of the existing theory literature investigated finite, tuple-independ...
[ { "created": "Fri, 21 Aug 2020 14:39:47 GMT", "version": "v1" }, { "created": "Tue, 19 Apr 2022 07:17:45 GMT", "version": "v2" } ]
2022-04-20
[ [ "Carmeli", "Nofar", "" ], [ "Grohe", "Martin", "" ], [ "Lindner", "Peter", "" ], [ "Standke", "Christoph", "" ] ]
Probabilistic databases (PDBs) are probability spaces over database instances. They provide a framework for handling uncertainty in databases, as occurs due to data integration, noisy data, data from unreliable sources or randomized processes. Most of the existing theory literature investigated finite, tuple-independen...
2302.08174
Rafael Mohr
Christian Eder, Pierre Lairez, Rafael Mohr, Mohab Safey El Din
A Direttissimo Algorithm for Equidimensional Decomposition
Some minor revisions, corrects a mistake in the proof of lemma 2.2
null
null
null
cs.SC math.AC
http://creativecommons.org/licenses/by/4.0/
We describe a recursive algorithm that decomposes an algebraic set into locally closed equidimensional sets, i.e. sets which each have irreducible components of the same dimension. At the core of this algorithm, we combine ideas from the theory of triangular sets, a.k.a. regular chains, with Gr\"obner bases to encode...
[ { "created": "Thu, 16 Feb 2023 09:42:55 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 08:45:15 GMT", "version": "v2" } ]
2023-06-12
[ [ "Eder", "Christian", "" ], [ "Lairez", "Pierre", "" ], [ "Mohr", "Rafael", "" ], [ "Din", "Mohab Safey El", "" ] ]
We describe a recursive algorithm that decomposes an algebraic set into locally closed equidimensional sets, i.e. sets which each have irreducible components of the same dimension. At the core of this algorithm, we combine ideas from the theory of triangular sets, a.k.a. regular chains, with Gr\"obner bases to encode a...
2406.12479
Haifeng Li
Linrui Xu, Ling Zhao, Wang Guo, Qiujun Li, Kewang Long, Kaiqi Zou, Yuhan Wang, Haifeng Li
RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding
14 pages, 6 figures, 4 tables
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The remote sensing image intelligence understanding model is undergoing a new profound paradigm shift which has been promoted by multi-modal large language model (MLLM), i.e. from the paradigm learning a domain model (LaDM) shifts to paradigm learning a pre-trained general foundation model followed by an adaptive dom...
[ { "created": "Tue, 18 Jun 2024 10:34:28 GMT", "version": "v1" } ]
2024-06-19
[ [ "Xu", "Linrui", "" ], [ "Zhao", "Ling", "" ], [ "Guo", "Wang", "" ], [ "Li", "Qiujun", "" ], [ "Long", "Kewang", "" ], [ "Zou", "Kaiqi", "" ], [ "Wang", "Yuhan", "" ], [ "Li", "Haifeng", "" ...
The remote sensing image intelligence understanding model is undergoing a new profound paradigm shift which has been promoted by multi-modal large language model (MLLM), i.e. from the paradigm learning a domain model (LaDM) shifts to paradigm learning a pre-trained general foundation model followed by an adaptive domai...
1309.0869
EPTCS
Thao Dang (CNRS-VERIMAG), Tommaso Dreossi (VERIMAG, University of Udine)
Falsifying Oscillation Properties of Parametric Biological Models
In Proceedings HSB 2013, arXiv:1308.5724
EPTCS 125, 2013, pp. 53-67
10.4204/EPTCS.125.4
null
cs.LO cs.CE cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an approach to falsification of oscillation properties of parametric biological models, based on the recently developed techniques for testing continuous and hybrid systems. In this approach, an oscillation property can be specified using a hybrid automaton, which is then used to guide the exploration in t...
[ { "created": "Tue, 3 Sep 2013 23:41:23 GMT", "version": "v1" } ]
2013-09-05
[ [ "Dang", "Thao", "", "CNRS-VERIMAG" ], [ "Dreossi", "Tommaso", "", "VERIMAG, University of\n Udine" ] ]
We propose an approach to falsification of oscillation properties of parametric biological models, based on the recently developed techniques for testing continuous and hybrid systems. In this approach, an oscillation property can be specified using a hybrid automaton, which is then used to guide the exploration in the...
2210.03026
Germ\'an Vidal
Germ\'an Vidal
Computing Race Variants in Message-Passing Concurrent Programming with Selective Receives
Published as: Vidal, G. (2022). Computing Race Variants in Message-Passing Concurrent Programming with Selective Receives. In: Mousavi, M.R., Philippou, A. (eds) FORTE 2022. Lecture Notes in Computer Science, vol 13273. Springer, Cham. The final authenticated publication is available online at https://doi.org/1...
null
10.1007/978-3-031-08679-3_12
null
cs.PL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Message-passing concurrency is a popular computation model that underlies several programming languages like, e.g., Erlang, Akka, and (to some extent) Go and Rust. In particular, we consider a message-passing concurrent language with dynamic process spawning and selective receives, i.e., where messages can only be co...
[ { "created": "Thu, 6 Oct 2022 16:19:15 GMT", "version": "v1" } ]
2022-10-07
[ [ "Vidal", "Germán", "" ] ]
Message-passing concurrency is a popular computation model that underlies several programming languages like, e.g., Erlang, Akka, and (to some extent) Go and Rust. In particular, we consider a message-passing concurrent language with dynamic process spawning and selective receives, i.e., where messages can only be cons...
1206.0233
Arne Leitert
Arne Leitert
3-Colourability of Dually Chordal Graphs in Linear Time
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A graph G is dually chordal if there is a spanning tree T of G such that any maximal clique of G induces a subtree in T. This paper investigates the Colourability problem on dually chordal graphs. It will show that it is NP-complete in case of four colours and solvable in linear time with a simple algorithm in case o...
[ { "created": "Fri, 1 Jun 2012 16:00:59 GMT", "version": "v1" }, { "created": "Sun, 5 Aug 2012 15:23:07 GMT", "version": "v2" }, { "created": "Tue, 13 Nov 2012 15:26:12 GMT", "version": "v3" } ]
2012-11-14
[ [ "Leitert", "Arne", "" ] ]
A graph G is dually chordal if there is a spanning tree T of G such that any maximal clique of G induces a subtree in T. This paper investigates the Colourability problem on dually chordal graphs. It will show that it is NP-complete in case of four colours and solvable in linear time with a simple algorithm in case of ...
1404.0818
Marcin Pilipczuk
Daniel Lokshtanov and Marcin Pilipczuk and Micha{\l} Pilipczuk and Saket Saurabh
Fixed-parameter tractable canonization and isomorphism test for graphs of bounded treewidth
Full version of a paper presented at FOCS 2014
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a fixed-parameter tractable algorithm that, given a parameter $k$ and two graphs $G_1,G_2$, either concludes that one of these graphs has treewidth at least $k$, or determines whether $G_1$ and $G_2$ are isomorphic. The running time of the algorithm on an $n$-vertex graph is $2^{O(k^5\log k)}\cdot n^5$, and t...
[ { "created": "Thu, 3 Apr 2014 09:49:54 GMT", "version": "v1" }, { "created": "Wed, 10 Dec 2014 11:32:25 GMT", "version": "v2" } ]
2014-12-11
[ [ "Lokshtanov", "Daniel", "" ], [ "Pilipczuk", "Marcin", "" ], [ "Pilipczuk", "Michał", "" ], [ "Saurabh", "Saket", "" ] ]
We give a fixed-parameter tractable algorithm that, given a parameter $k$ and two graphs $G_1,G_2$, either concludes that one of these graphs has treewidth at least $k$, or determines whether $G_1$ and $G_2$ are isomorphic. The running time of the algorithm on an $n$-vertex graph is $2^{O(k^5\log k)}\cdot n^5$, and thi...
2212.02014
Heng Guo
Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
updated version
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Automatic parsing of human anatomies at instance-level from 3D computed tomography (CT) scans is a prerequisite step for many clinical applications. The presence of pathologies, broken structures or limited field-of-view (FOV) all can make anatomy parsing algorithms vulnerable. In this work, we explore how to exploit...
[ { "created": "Mon, 5 Dec 2022 04:04:21 GMT", "version": "v1" }, { "created": "Tue, 10 Oct 2023 10:03:24 GMT", "version": "v2" } ]
2023-10-11
[ [ "Guo", "Heng", "" ], [ "Zhang", "Jianfeng", "" ], [ "Yan", "Ke", "" ], [ "Lu", "Le", "" ], [ "Xu", "Minfeng", "" ] ]
Automatic parsing of human anatomies at instance-level from 3D computed tomography (CT) scans is a prerequisite step for many clinical applications. The presence of pathologies, broken structures or limited field-of-view (FOV) all can make anatomy parsing algorithms vulnerable. In this work, we explore how to exploit a...
2303.04901
Laura Zheng
Laura Zheng, Julio Poveda, James Mullen, Shreelekha Revankar, Ming C. Lin
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality
null
null
null
null
cs.RO cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Autonomous driving research currently faces data sparsity in representation of risky scenarios. Such data is both difficult to obtain ethically in the real world, and unreliable to obtain via simulation. Recent advances in virtual reality (VR) driving simulators lower barriers to tackling this problem in simulation. ...
[ { "created": "Wed, 8 Mar 2023 21:38:24 GMT", "version": "v1" } ]
2023-03-10
[ [ "Zheng", "Laura", "" ], [ "Poveda", "Julio", "" ], [ "Mullen", "James", "" ], [ "Revankar", "Shreelekha", "" ], [ "Lin", "Ming C.", "" ] ]
Autonomous driving research currently faces data sparsity in representation of risky scenarios. Such data is both difficult to obtain ethically in the real world, and unreliable to obtain via simulation. Recent advances in virtual reality (VR) driving simulators lower barriers to tackling this problem in simulation. We...
1801.01451
Andrew Kiruluta
Andrew Kiruluta
Reducing Deep Network Complexity with Fourier Transform Methods
mistake in tensorflow code with test data leakage into training set leading to model over fitting
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel way that uses shallow densely connected neuron network architectures to achieve superior performance to convolution based neural networks (CNNs) approaches with the added benefits of lower computation burden requiring dramatically less training examples to achieve high prediction accuracy ($>98\%$)...
[ { "created": "Fri, 15 Dec 2017 20:30:09 GMT", "version": "v1" }, { "created": "Thu, 7 Jun 2018 12:09:37 GMT", "version": "v2" } ]
2018-06-08
[ [ "Kiruluta", "Andrew", "" ] ]
We propose a novel way that uses shallow densely connected neuron network architectures to achieve superior performance to convolution based neural networks (CNNs) approaches with the added benefits of lower computation burden requiring dramatically less training examples to achieve high prediction accuracy ($>98\%$). ...
2302.01301
Raffaele Galliera
Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu, Niranjan Suri
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
10 pages, 5 figures, AAAI 2023 workshop "Reinforcement Learning Ready for Production", accepted at NOMS 2023 - IEEE/IFIP Network Operations and Management Symposium
null
10.1109/NOMS56928.2023.10154210
null
cs.LG cs.AI cs.NI
http://creativecommons.org/licenses/by/4.0/
Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support next-generation applications and services, combined with the increasing heterogeneity of systems and network technologies, has promoted th...
[ { "created": "Thu, 2 Feb 2023 18:27:20 GMT", "version": "v1" } ]
2023-06-27
[ [ "Galliera", "Raffaele", "" ], [ "Morelli", "Alessandro", "" ], [ "Fronteddu", "Roberto", "" ], [ "Suri", "Niranjan", "" ] ]
Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support next-generation applications and services, combined with the increasing heterogeneity of systems and network technologies, has promoted the ...
2006.14859
Bruno Lecouat
Bruno Lecouat, Jean Ponce, Julien Mairal
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
NeurIPS 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a general framework for designing and training neural network layers whose forward passes can be interpreted as solving non-smooth convex optimization problems, and whose architectures are derived from an optimization algorithm. We focus on convex games, solved by local agents represented by the nodes of...
[ { "created": "Fri, 26 Jun 2020 08:34:54 GMT", "version": "v1" }, { "created": "Mon, 9 Nov 2020 10:00:10 GMT", "version": "v2" } ]
2020-11-10
[ [ "Lecouat", "Bruno", "" ], [ "Ponce", "Jean", "" ], [ "Mairal", "Julien", "" ] ]
We introduce a general framework for designing and training neural network layers whose forward passes can be interpreted as solving non-smooth convex optimization problems, and whose architectures are derived from an optimization algorithm. We focus on convex games, solved by local agents represented by the nodes of a...
1903.06800
Alessandro Betti
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi, Alessandro Franco, Mauro Tucci, Fabrizio Bizzarri, Debora Mucci
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Preprint of IEEE Transactions of Sustainable Energy, Vol. 9, Issue 2, pp. 831 - 842 (2018)
IEEE Transactions of Sustainable Energy, Vol. 9, Issue 2, pp. 831 - 842 (2018)
10.1109/TSTE.2017.2762435
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the i...
[ { "created": "Tue, 26 Feb 2019 11:29:18 GMT", "version": "v1" } ]
2019-03-19
[ [ "Gigoni", "Lorenzo", "" ], [ "Betti", "Alessandro", "" ], [ "Crisostomi", "Emanuele", "" ], [ "Franco", "Alessandro", "" ], [ "Tucci", "Mauro", "" ], [ "Bizzarri", "Fabrizio", "" ], [ "Mucci", "Debora", "" ...
The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the imp...
1806.06397
Karim Armanious
Karim Armanious, Chenming Jiang, Marc Fischer, Thomas K\"ustner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
MedGAN: Medical Image Translation using GANs
16 pages, 8 figures
null
10.1016/j.compmedimag.2019.101684
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches offers individualized solutions based on specialized task-specific architectures or require refinement through non-end-to-end training. In...
[ { "created": "Sun, 17 Jun 2018 15:45:10 GMT", "version": "v1" }, { "created": "Thu, 4 Apr 2019 14:34:21 GMT", "version": "v2" } ]
2019-11-26
[ [ "Armanious", "Karim", "" ], [ "Jiang", "Chenming", "" ], [ "Fischer", "Marc", "" ], [ "Küstner", "Thomas", "" ], [ "Nikolaou", "Konstantin", "" ], [ "Gatidis", "Sergios", "" ], [ "Yang", "Bin", "" ] ]
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches offers individualized solutions based on specialized task-specific architectures or require refinement through non-end-to-end training. In t...
1811.00472
Weidi Xie
Erika Lu, Weidi Xie and Andrew Zisserman
Class-Agnostic Counting
Asian Conference on Computer Vision (ACCV), 2018
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Nearly all existing counting methods are designed for a specific object class. Our work, however, aims to create a counting model able to count any class of object. To achieve this goal, we formulate counting as a matching problem, enabling us to exploit the image self-similarity property that naturally exists in obj...
[ { "created": "Thu, 1 Nov 2018 16:11:42 GMT", "version": "v1" } ]
2018-11-02
[ [ "Lu", "Erika", "" ], [ "Xie", "Weidi", "" ], [ "Zisserman", "Andrew", "" ] ]
Nearly all existing counting methods are designed for a specific object class. Our work, however, aims to create a counting model able to count any class of object. To achieve this goal, we formulate counting as a matching problem, enabling us to exploit the image self-similarity property that naturally exists in objec...
1810.02490
Mostafa Zaman Chowdhury
Mostafa Zaman Chowdhury and Yeong Min Jang
CAC and Traffic Modeling for Integrated Macrocell/Femtocell Networks
International Conference on Ubiquitous and Future Networks (ICUFN), July 2012, Thailand
null
10.1109/ICUFN.2012.6261709
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dense femtocells and the integration of these femtocells with the macrocell are the ultimate goal of the femtocellular network deployment. Integrated macrocell/femtocell networks surely able to provide high data rate for the indoor users as well as able to offload huge traffic from the macrocellular networks to femto...
[ { "created": "Fri, 5 Oct 2018 01:57:36 GMT", "version": "v1" } ]
2018-10-08
[ [ "Chowdhury", "Mostafa Zaman", "" ], [ "Jang", "Yeong Min", "" ] ]
Dense femtocells and the integration of these femtocells with the macrocell are the ultimate goal of the femtocellular network deployment. Integrated macrocell/femtocell networks surely able to provide high data rate for the indoor users as well as able to offload huge traffic from the macrocellular networks to femtoce...
2103.04904
Laszlo Csirmaz
Laszlo Csirmaz, Franti\v{s}ek Mat\'u\v{s} and Carles Padr\'o
Bipartite secret sharing and staircases
To appear in Discrete Mathematics
null
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bipartite secret sharing schemes have a bipartite access structure in which the set of participants is divided into two parts and all participants in the same part play an equivalent role. Such a bipartite scheme can be described by a \emph{staircase}: the collection of its minimal points. The complexity of a scheme ...
[ { "created": "Mon, 8 Mar 2021 17:09:43 GMT", "version": "v1" }, { "created": "Thu, 5 Oct 2023 14:19:21 GMT", "version": "v2" } ]
2023-10-06
[ [ "Csirmaz", "Laszlo", "" ], [ "Matúš", "František", "" ], [ "Padró", "Carles", "" ] ]
Bipartite secret sharing schemes have a bipartite access structure in which the set of participants is divided into two parts and all participants in the same part play an equivalent role. Such a bipartite scheme can be described by a \emph{staircase}: the collection of its minimal points. The complexity of a scheme is...
2103.02649
Xiaoyang Wang
Xiaoyang Wang, Jonathan D Thomas, Robert J Piechocki, Shipra Kapoor, Raul Santos-Rodriguez, Arjun Parekh
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
null
null
null
null
cs.NI cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various QoS requirements, such as massive IoT and URLLC. In ORAN, network functionality is dis-aggregated into remote units (RUs), distributed units...
[ { "created": "Wed, 3 Mar 2021 19:31:29 GMT", "version": "v1" } ]
2021-03-05
[ [ "Wang", "Xiaoyang", "" ], [ "Thomas", "Jonathan D", "" ], [ "Piechocki", "Robert J", "" ], [ "Kapoor", "Shipra", "" ], [ "Santos-Rodriguez", "Raul", "" ], [ "Parekh", "Arjun", "" ] ]
Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various QoS requirements, such as massive IoT and URLLC. In ORAN, network functionality is dis-aggregated into remote units (RUs), distributed units (...
2305.10459
Hadjer Benmeziane
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smail Niar, Ouarnoughi Hamza, Vijay Narayanan, Abu Sebastian and Kaoutar El Maghraoui
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
Accepted to IEEE Edge
null
null
null
cs.AR cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
The advancement of Deep Learning (DL) is driven by efficient Deep Neural Network (DNN) design and new hardware accelerators. Current DNN design is primarily tailored for general-purpose use and deployment on commercially viable platforms. Inference at the edge requires low latency, compact and power-efficient models,...
[ { "created": "Wed, 17 May 2023 07:39:14 GMT", "version": "v1" } ]
2023-05-19
[ [ "Benmeziane", "Hadjer", "" ], [ "Lammie", "Corey", "" ], [ "Boybat", "Irem", "" ], [ "Rasch", "Malte", "" ], [ "Gallo", "Manuel Le", "" ], [ "Tsai", "Hsinyu", "" ], [ "Muralidhar", "Ramachandran", "" ], ...
The advancement of Deep Learning (DL) is driven by efficient Deep Neural Network (DNN) design and new hardware accelerators. Current DNN design is primarily tailored for general-purpose use and deployment on commercially viable platforms. Inference at the edge requires low latency, compact and power-efficient models, a...
2404.05502
Roman Kazakov
Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
8 pages, 7 figures, 2 tables, to be published in the Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), for associated code, see https://github.com/sachertort/petkaz-semeval-ecac
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
In this paper, we present our submission to the SemEval-2023 Task~3 "The Competition of Multimodal Emotion Cause Analysis in Conversations", focusing on extracting emotion-cause pairs from dialogs. Specifically, our approach relies on combining fine-tuned GPT-3.5 for emotion classification and a BiLSTM-based neural n...
[ { "created": "Mon, 8 Apr 2024 13:25:03 GMT", "version": "v1" } ]
2024-04-09
[ [ "Kazakov", "Roman", "" ], [ "Petukhova", "Kseniia", "" ], [ "Kochmar", "Ekaterina", "" ] ]
In this paper, we present our submission to the SemEval-2023 Task~3 "The Competition of Multimodal Emotion Cause Analysis in Conversations", focusing on extracting emotion-cause pairs from dialogs. Specifically, our approach relies on combining fine-tuned GPT-3.5 for emotion classification and a BiLSTM-based neural net...
2306.07042
Enric Boix-Adser\`a
Enric Boix-Adsera, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua Susskind
Transformers learn through gradual rank increase
39 pages, to appear in NeurIPS 2023
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We identify incremental learning dynamics in transformers, where the difference between trained and initial weights progressively increases in rank. We rigorously prove this occurs under the simplifying assumptions of diagonal weight matrices and small initialization. Our experiments support the theory and also show ...
[ { "created": "Mon, 12 Jun 2023 11:41:42 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 00:23:45 GMT", "version": "v2" } ]
2023-12-12
[ [ "Boix-Adsera", "Enric", "" ], [ "Littwin", "Etai", "" ], [ "Abbe", "Emmanuel", "" ], [ "Bengio", "Samy", "" ], [ "Susskind", "Joshua", "" ] ]
We identify incremental learning dynamics in transformers, where the difference between trained and initial weights progressively increases in rank. We rigorously prove this occurs under the simplifying assumptions of diagonal weight matrices and small initialization. Our experiments support the theory and also show th...
2203.12328
Ananthanarayanan Chockalingam
Sandesh Rao Mattu and A. Chockalingam
Learning based Channel Estimation and Phase Noise Compensation in Doubly-Selective Channels
Comm. Lett. Copyright IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution t...
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this letter, we propose a learning based channel estimation scheme for orthogonal frequency division multiplexing (OFDM) systems in the presence of phase noise in doubly-selective fading channels. Two-dimensional (2D) convolutional neural networks (CNNs) are employed for effective training and tracking of channel ...
[ { "created": "Wed, 23 Mar 2022 11:13:27 GMT", "version": "v1" } ]
2022-03-24
[ [ "Mattu", "Sandesh Rao", "" ], [ "Chockalingam", "A.", "" ] ]
In this letter, we propose a learning based channel estimation scheme for orthogonal frequency division multiplexing (OFDM) systems in the presence of phase noise in doubly-selective fading channels. Two-dimensional (2D) convolutional neural networks (CNNs) are employed for effective training and tracking of channel va...
2205.14122
Alexandra Fedorova
Alexandra Fedorova, Keith Smith, Keith Bostic, Alexander Gorrod, Sue LoVerso, Michael Cahill
Writes Hurt: Lessons in Cache Design for Optane NVRAM
null
null
null
null
cs.AR cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intel OptaneTM DC Persistent Memory resides on the memory bus and approaches DRAM in access latency. One avenue for its adoption is to employ it in place of persistent storage; another is to use it as a cheaper and denser extension of DRAM. In pursuit of the latter goal, we present the design of a volatile Optane NVR...
[ { "created": "Tue, 24 May 2022 22:16:11 GMT", "version": "v1" } ]
2022-05-30
[ [ "Fedorova", "Alexandra", "" ], [ "Smith", "Keith", "" ], [ "Bostic", "Keith", "" ], [ "Gorrod", "Alexander", "" ], [ "LoVerso", "Sue", "" ], [ "Cahill", "Michael", "" ] ]
Intel OptaneTM DC Persistent Memory resides on the memory bus and approaches DRAM in access latency. One avenue for its adoption is to employ it in place of persistent storage; another is to use it as a cheaper and denser extension of DRAM. In pursuit of the latter goal, we present the design of a volatile Optane NVRAM...
2303.13367
Brady Lund
Brady Lund, Ting Wang, Nishith Reddy Mannuru, Bing Nie, Somipam Shimray, and Ziang Wang
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing
null
Journal of the Association for Information Science and Technology (2023)
10.1002/asi.24750
null
cs.CL cs.CY
http://creativecommons.org/licenses/by/4.0/
This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on...
[ { "created": "Tue, 21 Mar 2023 14:35:07 GMT", "version": "v1" }, { "created": "Fri, 31 Mar 2023 17:56:28 GMT", "version": "v2" } ]
2023-04-03
[ [ "Lund", "Brady", "" ], [ "Wang", "Ting", "" ], [ "Mannuru", "Nishith Reddy", "" ], [ "Nie", "Bing", "" ], [ "Shimray", "Somipam", "" ], [ "Wang", "Ziang", "" ] ]
This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on a...
2310.20587
Ruizhe Shi
Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
24 pages, 16 tables
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Offline reinforcement learning (RL) aims to find a near-optimal policy using pre-collected datasets. In real-world scenarios, data collection could be costly and risky; therefore, offline RL becomes particularly challenging when the in-domain data is limited. Given recent advances in Large Language Models (LLMs) and ...
[ { "created": "Tue, 31 Oct 2023 16:24:17 GMT", "version": "v1" }, { "created": "Sat, 4 Nov 2023 08:11:10 GMT", "version": "v2" }, { "created": "Tue, 7 Nov 2023 03:26:51 GMT", "version": "v3" }, { "created": "Mon, 27 Nov 2023 07:38:06 GMT", "version": "v4" } ]
2023-11-28
[ [ "Shi", "Ruizhe", "" ], [ "Liu", "Yuyao", "" ], [ "Ze", "Yanjie", "" ], [ "Du", "Simon S.", "" ], [ "Xu", "Huazhe", "" ] ]
Offline reinforcement learning (RL) aims to find a near-optimal policy using pre-collected datasets. In real-world scenarios, data collection could be costly and risky; therefore, offline RL becomes particularly challenging when the in-domain data is limited. Given recent advances in Large Language Models (LLMs) and th...
2111.09888
Apoorv Khandelwal
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, Aniruddha Kembhavi
Simple but Effective: CLIP Embeddings for Embodied AI
Published in CVPR 2022
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive language image pretraining (CLIP) encoders have been shown to be beneficial for a range of visual tasks from classification and detection to captioning and image manipulation. We investigate the effectiveness of CLIP visual backbones for Embodied AI tasks. We build incredibly simple baselines, named EmbCL...
[ { "created": "Thu, 18 Nov 2021 18:59:59 GMT", "version": "v1" }, { "created": "Fri, 15 Apr 2022 02:12:26 GMT", "version": "v2" } ]
2022-04-18
[ [ "Khandelwal", "Apoorv", "" ], [ "Weihs", "Luca", "" ], [ "Mottaghi", "Roozbeh", "" ], [ "Kembhavi", "Aniruddha", "" ] ]
Contrastive language image pretraining (CLIP) encoders have been shown to be beneficial for a range of visual tasks from classification and detection to captioning and image manipulation. We investigate the effectiveness of CLIP visual backbones for Embodied AI tasks. We build incredibly simple baselines, named EmbCLIP...
1611.01195
Shusil Dangi
Shusil Dangi, Nathan Cahill, Cristian A. Linte
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI
Statistical Atlases and Computational Modelling of Heart workshop 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All these applications rely on accurate extraction of the myocardial tissue and blood pool from the imaging data. Here we propose a framework...
[ { "created": "Thu, 3 Nov 2016 21:12:55 GMT", "version": "v1" } ]
2016-11-07
[ [ "Dangi", "Shusil", "" ], [ "Cahill", "Nathan", "" ], [ "Linte", "Cristian A.", "" ] ]
Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All these applications rely on accurate extraction of the myocardial tissue and blood pool from the imaging data. Here we propose a framework f...
2311.07634
Wenshuai Xu
Wenshuai Xu, Zhenghui Hu, Yu Lu, Jinzhou Meng, Qingjie Liu, Yunhong Wang
ActiveDC: Distribution Calibration for Active Finetuning
CVPR 2024 Accept
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The pretraining-finetuning paradigm has gained popularity in various computer vision tasks. In this paradigm, the emergence of active finetuning arises due to the abundance of large-scale data and costly annotation requirements. Active finetuning involves selecting a subset of data from an unlabeled pool for annotati...
[ { "created": "Mon, 13 Nov 2023 14:35:18 GMT", "version": "v1" }, { "created": "Wed, 15 Nov 2023 09:32:05 GMT", "version": "v2" }, { "created": "Tue, 27 Feb 2024 07:52:16 GMT", "version": "v3" } ]
2024-02-28
[ [ "Xu", "Wenshuai", "" ], [ "Hu", "Zhenghui", "" ], [ "Lu", "Yu", "" ], [ "Meng", "Jinzhou", "" ], [ "Liu", "Qingjie", "" ], [ "Wang", "Yunhong", "" ] ]
The pretraining-finetuning paradigm has gained popularity in various computer vision tasks. In this paradigm, the emergence of active finetuning arises due to the abundance of large-scale data and costly annotation requirements. Active finetuning involves selecting a subset of data from an unlabeled pool for annotation...
0803.2812
Mikhail Konnik
Mikhail V. Konnik
Using Spatially Varying Pixels Exposures and Bayer-covered Photosensors for High Dynamic Range Imaging
Typos corrected
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The method of a linear high dynamic range imaging using solid-state photosensors with Bayer colour filters array is provided in this paper. Using information from neighbour pixels, it is possible to reconstruct linear images with wide dynamic range from the oversaturated images. Bayer colour filters array is consider...
[ { "created": "Wed, 19 Mar 2008 14:55:15 GMT", "version": "v1" }, { "created": "Mon, 24 Mar 2008 07:04:39 GMT", "version": "v2" } ]
2008-03-24
[ [ "Konnik", "Mikhail V.", "" ] ]
The method of a linear high dynamic range imaging using solid-state photosensors with Bayer colour filters array is provided in this paper. Using information from neighbour pixels, it is possible to reconstruct linear images with wide dynamic range from the oversaturated images. Bayer colour filters array is considered...
2306.14209
Fabio Merizzi
Fabio Merizzi, Perrine Saillard, Oceane Acquier, Elena Morotti, Elena Loli Piccolomini, Luca Calatroni and Rosa Maria Dess\`i
Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc
26 pages
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The unprecedented success of image reconstruction approaches based on deep neural networks has revolutionised both the processing and the analysis paradigms in several applied disciplines. In the field of digital humanities, the task of digital reconstruction of ancient frescoes is particularly challenging due to the...
[ { "created": "Sun, 25 Jun 2023 11:19:47 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 15:30:01 GMT", "version": "v2" } ]
2023-12-14
[ [ "Merizzi", "Fabio", "" ], [ "Saillard", "Perrine", "" ], [ "Acquier", "Oceane", "" ], [ "Morotti", "Elena", "" ], [ "Piccolomini", "Elena Loli", "" ], [ "Calatroni", "Luca", "" ], [ "Dessì", "Rosa Maria", "...
The unprecedented success of image reconstruction approaches based on deep neural networks has revolutionised both the processing and the analysis paradigms in several applied disciplines. In the field of digital humanities, the task of digital reconstruction of ancient frescoes is particularly challenging due to the s...
cs/0610151
Anant Sahai
Anant Sahai
Anytime coding on the infinite bandwidth AWGN channel: A sequential semi-orthogonal optimal code
12 pages, 6 figures, submitted to IT Transactions
null
null
null
cs.IT math.IT
null
It is well known that orthogonal coding can be used to approach the Shannon capacity of the power-constrained AWGN channel without a bandwidth constraint. This correspondence describes a semi-orthogonal variation of pulse position modulation that is sequential in nature -- bits can be ``streamed across'' without havi...
[ { "created": "Thu, 26 Oct 2006 10:01:38 GMT", "version": "v1" } ]
2007-07-13
[ [ "Sahai", "Anant", "" ] ]
It is well known that orthogonal coding can be used to approach the Shannon capacity of the power-constrained AWGN channel without a bandwidth constraint. This correspondence describes a semi-orthogonal variation of pulse position modulation that is sequential in nature -- bits can be ``streamed across'' without having...
2103.09265
Harshitha Machiraju
Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard, Michael. H Herzog
Bio-inspired Robustness: A Review
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Deep convolutional neural networks (DCNNs) have revolutionized computer vision and are often advocated as good models of the human visual system. However, there are currently many shortcomings of DCNNs, which preclude them as a model of human vision. For example, in the case of adversarial attacks, where adding small...
[ { "created": "Tue, 16 Mar 2021 18:20:29 GMT", "version": "v1" } ]
2021-03-18
[ [ "Machiraju", "Harshitha", "" ], [ "Choung", "Oh-Hyeon", "" ], [ "Frossard", "Pascal", "" ], [ "Herzog", "Michael. H", "" ] ]
Deep convolutional neural networks (DCNNs) have revolutionized computer vision and are often advocated as good models of the human visual system. However, there are currently many shortcomings of DCNNs, which preclude them as a model of human vision. For example, in the case of adversarial attacks, where adding small a...
2304.13693
Thalia Santos De Santana
Thalia S. Santana, Taciana N. Kudo, Renato F. Bulc\~ao-Neto
Requirements Engineering, Software Testing and Education: A Systematic Mapping
20 pages, in Portuguese language
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
The activities of requirements engineering and software testing are intrinsically related to each other, as these two areas are linked when seeking to specify and also ensure the expectations of a software product, with quality and on time. This systematic mapping study aims to verify how requirements and testing are...
[ { "created": "Wed, 26 Apr 2023 17:18:34 GMT", "version": "v1" } ]
2023-04-27
[ [ "Santana", "Thalia S.", "" ], [ "Kudo", "Taciana N.", "" ], [ "Bulcão-Neto", "Renato F.", "" ] ]
The activities of requirements engineering and software testing are intrinsically related to each other, as these two areas are linked when seeking to specify and also ensure the expectations of a software product, with quality and on time. This systematic mapping study aims to verify how requirements and testing are b...
2003.01149
Piotr Franciszek Orzechowski
Piotr Franciszek Orzechowski, Christoph Burger and Martin Lauer
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
null
null
10.1109/IV47402.2020.9304723
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices. Most state-of-the-art AV platforms implement tactical and strategical behavior generation using finite state machines. How...
[ { "created": "Mon, 2 Mar 2020 19:21:18 GMT", "version": "v1" }, { "created": "Mon, 11 May 2020 18:57:05 GMT", "version": "v2" }, { "created": "Tue, 1 Sep 2020 11:11:32 GMT", "version": "v3" }, { "created": "Fri, 5 Feb 2021 11:15:42 GMT", "version": "v4" } ]
2021-02-08
[ [ "Orzechowski", "Piotr Franciszek", "" ], [ "Burger", "Christoph", "" ], [ "Lauer", "Martin", "" ] ]
Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices. Most state-of-the-art AV platforms implement tactical and strategical behavior generation using finite state machines. Howev...
2306.11767
Marvin Schieseck
Marvin Schieseck, Philip Topalis, Alexander Fay
A Graphical Modeling Language for Artificial Intelligence Applications in Automation Systems
null
null
null
null
cs.AI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial Intelligence (AI) applications in automation systems are usually distributed systems whose development and integration involve several experts. Each expert uses its own domain-specific modeling language and tools to model the system elements. An interdisciplinary graphical modeling language that enables th...
[ { "created": "Tue, 20 Jun 2023 12:06:41 GMT", "version": "v1" } ]
2023-06-22
[ [ "Schieseck", "Marvin", "" ], [ "Topalis", "Philip", "" ], [ "Fay", "Alexander", "" ] ]
Artificial Intelligence (AI) applications in automation systems are usually distributed systems whose development and integration involve several experts. Each expert uses its own domain-specific modeling language and tools to model the system elements. An interdisciplinary graphical modeling language that enables the ...
2211.02283
Jincheng Dai
Zixuan Xiao, Shengshi Yao, Jincheng Dai, Sixian Wang, Kai Niu, Ping Zhang
Wireless Deep Speech Semantic Transmission
null
null
null
null
cs.SD cs.IT eess.AS math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a new class of high-efficiency semantic coded transmission methods for end-to-end speech transmission over wireless channels. We name the whole system as deep speech semantic transmission (DSST). Specifically, we introduce a nonlinear transform to map the speech source to semantic latent spa...
[ { "created": "Fri, 4 Nov 2022 06:49:42 GMT", "version": "v1" } ]
2022-11-07
[ [ "Xiao", "Zixuan", "" ], [ "Yao", "Shengshi", "" ], [ "Dai", "Jincheng", "" ], [ "Wang", "Sixian", "" ], [ "Niu", "Kai", "" ], [ "Zhang", "Ping", "" ] ]
In this paper, we propose a new class of high-efficiency semantic coded transmission methods for end-to-end speech transmission over wireless channels. We name the whole system as deep speech semantic transmission (DSST). Specifically, we introduce a nonlinear transform to map the speech source to semantic latent space...
1609.00686
Makoto Naruse
Makoto Naruse, Martin Berthel, Aur\'elien Drezet, Serge Huant, Hirokazu Hori, Song-Ju Kim
Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence
null
null
null
null
cs.LG physics.optics quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding and using natural processes for intelligent functionalities, referred to as natural intelligence, has recently attracted interest from a variety of fields, including post-silicon computing for artificial intelligence and decision making in the behavioural sciences. In a past study, we successfully used ...
[ { "created": "Thu, 1 Sep 2016 09:32:29 GMT", "version": "v1" } ]
2016-09-05
[ [ "Naruse", "Makoto", "" ], [ "Berthel", "Martin", "" ], [ "Drezet", "Aurélien", "" ], [ "Huant", "Serge", "" ], [ "Hori", "Hirokazu", "" ], [ "Kim", "Song-Ju", "" ] ]
Understanding and using natural processes for intelligent functionalities, referred to as natural intelligence, has recently attracted interest from a variety of fields, including post-silicon computing for artificial intelligence and decision making in the behavioural sciences. In a past study, we successfully used th...
2107.02467
Hui Liu
J. Wang, X. Liu, S. Shen, L. Deng, H. Liu*
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
null
null
null
null
cs.LG q-bio.QM
http://creativecommons.org/licenses/by-nc-sa/4.0/
Drug combination therapy has become a increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so huge that it is hard to screen synergistic drug combinations through wet-lab experiments. Therefore, computational screening has become an important way to prioritize...
[ { "created": "Tue, 6 Jul 2021 08:25:43 GMT", "version": "v1" } ]
2021-07-07
[ [ "Wang", "J.", "" ], [ "Liu", "X.", "" ], [ "Shen", "S.", "" ], [ "Deng", "L.", "" ], [ "Liu*", "H.", "" ] ]
Drug combination therapy has become a increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so huge that it is hard to screen synergistic drug combinations through wet-lab experiments. Therefore, computational screening has become an important way to prioritize d...
1603.06756
Wayes Tushar
Wayes Tushar, Chau Yuen, Bo Chai, Shisheng Huang, Kristin L. Wood, See Gim Kerk and Zaiyue Yang
Smart Grid Testbed for Demand Focused Energy Management in End User Environments
2016
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Successful deployment of smart grids necessitates experimental validities of their state-of-the-art designs in two-way communications, real-time demand response and monitoring of consumers' energy usage behavior. The objective is to observe consumers' energy usage pattern and exploit this information to assist the gr...
[ { "created": "Tue, 22 Mar 2016 12:26:48 GMT", "version": "v1" } ]
2016-03-23
[ [ "Tushar", "Wayes", "" ], [ "Yuen", "Chau", "" ], [ "Chai", "Bo", "" ], [ "Huang", "Shisheng", "" ], [ "Wood", "Kristin L.", "" ], [ "Kerk", "See Gim", "" ], [ "Yang", "Zaiyue", "" ] ]
Successful deployment of smart grids necessitates experimental validities of their state-of-the-art designs in two-way communications, real-time demand response and monitoring of consumers' energy usage behavior. The objective is to observe consumers' energy usage pattern and exploit this information to assist the grid...
1506.00572
Scott A. Hale
Han-Teng Liao, King-wa Fu, Scott A. Hale
How much is said in a microblog? A multilingual inquiry based on Weibo and Twitter
9 pages, 4 figures WebSci 2015
null
10.1145/2786451.2786486
null
cs.SI cs.CL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a multilingual study on, per single post of microblog text, (a) how much can be said, (b) how much is written in terms of characters and bytes, and (c) how much is said in terms of information content in posts by different organizations in different languages. Focusing on three different languages...
[ { "created": "Mon, 1 Jun 2015 17:06:00 GMT", "version": "v1" }, { "created": "Sat, 13 Jun 2015 14:37:25 GMT", "version": "v2" } ]
2015-06-16
[ [ "Liao", "Han-Teng", "" ], [ "Fu", "King-wa", "" ], [ "Hale", "Scott A.", "" ] ]
This paper presents a multilingual study on, per single post of microblog text, (a) how much can be said, (b) how much is written in terms of characters and bytes, and (c) how much is said in terms of information content in posts by different organizations in different languages. Focusing on three different languages (...
2306.07282
Karsten Roth
Karsten Roth, Jae Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
Accepted to ICCV 2023. Main paper with 9 pages
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors, e.g. "waffle, which has a round shape", can notably improve generali...
[ { "created": "Mon, 12 Jun 2023 17:59:48 GMT", "version": "v1" }, { "created": "Thu, 17 Aug 2023 02:27:32 GMT", "version": "v2" } ]
2023-08-21
[ [ "Roth", "Karsten", "" ], [ "Kim", "Jae Myung", "" ], [ "Koepke", "A. Sophia", "" ], [ "Vinyals", "Oriol", "" ], [ "Schmid", "Cordelia", "" ], [ "Akata", "Zeynep", "" ] ]
The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors, e.g. "waffle, which has a round shape", can notably improve generaliza...
2203.07463
Ramin Raziperchikolaei
Ramin Raziperchikolaei and Young-joo Chung
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
null
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Neural network-based collaborative filtering systems focus on designing network architectures to learn better representations while fixing the input to the user/item interaction vectors and/or ID. In this paper, we first show that the non-zero elements of the inputs are learnable parameters that determine the weights...
[ { "created": "Mon, 14 Mar 2022 19:47:38 GMT", "version": "v1" } ]
2022-03-16
[ [ "Raziperchikolaei", "Ramin", "" ], [ "Chung", "Young-joo", "" ] ]
Neural network-based collaborative filtering systems focus on designing network architectures to learn better representations while fixing the input to the user/item interaction vectors and/or ID. In this paper, we first show that the non-zero elements of the inputs are learnable parameters that determine the weights i...
1911.09548
Martin Schwalsberger
Martin Neum\"uller, Martin Schwalsberger
A parallel space-time multigrid method for the eddy-current equation
null
null
null
null
cs.CE cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We expand the applicabilities and capabilities of an already existing space-time parallel method based on a block Jacobi smoother. First we formulate a more detailed criterion for spatial coarsening, which enables the method to deal with unstructured meshes and varying material parameters. Further we investigate the ...
[ { "created": "Thu, 21 Nov 2019 15:43:40 GMT", "version": "v1" } ]
2019-11-22
[ [ "Neumüller", "Martin", "" ], [ "Schwalsberger", "Martin", "" ] ]
We expand the applicabilities and capabilities of an already existing space-time parallel method based on a block Jacobi smoother. First we formulate a more detailed criterion for spatial coarsening, which enables the method to deal with unstructured meshes and varying material parameters. Further we investigate the ap...
2208.13137
Priyabarta Karmakar PhD
Priyabrata Karmakar, Manzur Murshed, Manoranjan Paul, David Taubman
Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning
null
null
null
null
cs.CV cs.MM
http://creativecommons.org/licenses/by/4.0/
Motion modelling with block-based architecture has been widely used in video coding where a frame is divided into fixed-sized blocks that are motion compensated independently. This often leads to coding inefficiency as fixed-sized blocks hardly align with the object boundaries. Although hierarchical block-partitionin...
[ { "created": "Sun, 28 Aug 2022 04:13:58 GMT", "version": "v1" } ]
2022-08-30
[ [ "Karmakar", "Priyabrata", "" ], [ "Murshed", "Manzur", "" ], [ "Paul", "Manoranjan", "" ], [ "Taubman", "David", "" ] ]
Motion modelling with block-based architecture has been widely used in video coding where a frame is divided into fixed-sized blocks that are motion compensated independently. This often leads to coding inefficiency as fixed-sized blocks hardly align with the object boundaries. Although hierarchical block-partitioning ...
1007.0918
Jonathan Heusser
Jonathan Heusser and Pasquale Malacaria
Quantifying Information Leak Vulnerabilities
submitted, under review
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Leakage of confidential information represents a serious security risk. Despite a number of novel, theoretical advances, it has been unclear if and how quantitative approaches to measuring leakage of confidential information could be applied to substantial, real-world programs. This is mostly due to the high complexi...
[ { "created": "Tue, 6 Jul 2010 15:12:12 GMT", "version": "v1" } ]
2010-07-07
[ [ "Heusser", "Jonathan", "" ], [ "Malacaria", "Pasquale", "" ] ]
Leakage of confidential information represents a serious security risk. Despite a number of novel, theoretical advances, it has been unclear if and how quantitative approaches to measuring leakage of confidential information could be applied to substantial, real-world programs. This is mostly due to the high complexity...
1910.05798
Jefferson Silva
Jefferson O. Silva, Igor Wiese, Daniel M. German, Christoph Treude, Marco A. Gerosa, Igor Steinmacher
Google Summer of Code: Student Motivations and Contributions
30 pages
Journal of Systems and Software (JSS), V. 162, April 2020, 110487
10.1016/j.jss.2019.110487
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Several open source software (OSS) projects expect to foster newcomers' onboarding and to receive contributions by participating in engagement programs, like Summers of Code. However, there is little empirical evidence showing why students join such programs. In this paper, we study the well-established Google Summer...
[ { "created": "Sun, 13 Oct 2019 18:07:24 GMT", "version": "v1" } ]
2024-01-24
[ [ "Silva", "Jefferson O.", "" ], [ "Wiese", "Igor", "" ], [ "German", "Daniel M.", "" ], [ "Treude", "Christoph", "" ], [ "Gerosa", "Marco A.", "" ], [ "Steinmacher", "Igor", "" ] ]
Several open source software (OSS) projects expect to foster newcomers' onboarding and to receive contributions by participating in engagement programs, like Summers of Code. However, there is little empirical evidence showing why students join such programs. In this paper, we study the well-established Google Summer o...
2210.10040
Nikil Selvam
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
ACL 2023
null
null
null
cs.CL cs.CY cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How reliably can we trust the scores obtained from social bias benchmarks as faithful indicators of problematic social biases in a given language model? In this work, we study this question by contrasting social biases with non-social biases stemming from choices made during dataset construction that might not even b...
[ { "created": "Tue, 18 Oct 2022 17:58:39 GMT", "version": "v1" }, { "created": "Fri, 16 Jun 2023 18:35:13 GMT", "version": "v2" } ]
2023-06-21
[ [ "Selvam", "Nikil Roashan", "" ], [ "Dev", "Sunipa", "" ], [ "Khashabi", "Daniel", "" ], [ "Khot", "Tushar", "" ], [ "Chang", "Kai-Wei", "" ] ]
How reliably can we trust the scores obtained from social bias benchmarks as faithful indicators of problematic social biases in a given language model? In this work, we study this question by contrasting social biases with non-social biases stemming from choices made during dataset construction that might not even be ...
2110.10246
Nicole Forsgren
Nicole Forsgren, Bas Alberts, Kevin Backhouse, Grey Baker, Greg Cecarelli, Derek Jedamski, Scot Kelly, Clair Sullivan
2020 State of the Octoverse: Securing the World's Software
published by GitHub
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Open source is the connective tissue for much of the information economy. You would be hard-pressed to find a scenario where your data does not pass through at least one open source component. Many of the services and technology we all rely on, from banking to healthcare, also rely on open source software. The artifa...
[ { "created": "Tue, 19 Oct 2021 20:32:32 GMT", "version": "v1" } ]
2021-10-22
[ [ "Forsgren", "Nicole", "" ], [ "Alberts", "Bas", "" ], [ "Backhouse", "Kevin", "" ], [ "Baker", "Grey", "" ], [ "Cecarelli", "Greg", "" ], [ "Jedamski", "Derek", "" ], [ "Kelly", "Scot", "" ], [ "Sul...
Open source is the connective tissue for much of the information economy. You would be hard-pressed to find a scenario where your data does not pass through at least one open source component. Many of the services and technology we all rely on, from banking to healthcare, also rely on open source software. The artifact...
2107.12562
Shifeng Pan
Shifeng Pan and Lei He
Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
in Proceedings of INTERSPEECH 2021
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-speaker style transfer is crucial to the applications of multi-style and expressive speech synthesis at scale. It does not require the target speakers to be experts in expressing all styles and to collect corresponding recordings for model training. However, the performances of existing style transfer methods a...
[ { "created": "Tue, 27 Jul 2021 02:43:57 GMT", "version": "v1" } ]
2021-07-28
[ [ "Pan", "Shifeng", "" ], [ "He", "Lei", "" ] ]
Cross-speaker style transfer is crucial to the applications of multi-style and expressive speech synthesis at scale. It does not require the target speakers to be experts in expressing all styles and to collect corresponding recordings for model training. However, the performances of existing style transfer methods are...
1204.2989
Vijay Ganesh
Vijay Ganesh
STP/HAMPI and Computer Security
null
null
null
null
cs.CR cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the past several years I have written two SMT solvers called STP and HAMPI that have found widespread use in computer security research by leading groups in academia, industry and the government. In this brief note I summarize the features of STP/HAMPI that make them particularly suited for computer security resea...
[ { "created": "Thu, 12 Apr 2012 16:46:21 GMT", "version": "v1" } ]
2012-04-16
[ [ "Ganesh", "Vijay", "" ] ]
In the past several years I have written two SMT solvers called STP and HAMPI that have found widespread use in computer security research by leading groups in academia, industry and the government. In this brief note I summarize the features of STP/HAMPI that make them particularly suited for computer security researc...
2303.03583
Siqi Fan
Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, Jingjing Liu
Calibration-free BEV Representation for Infrastructure Perception
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception. However, cameras installed on infrastructure have various postures, and previous BEV detection methods rely on accurate calibration, which is difficult for pract...
[ { "created": "Tue, 7 Mar 2023 01:31:06 GMT", "version": "v1" }, { "created": "Fri, 14 Apr 2023 02:45:05 GMT", "version": "v2" } ]
2023-04-17
[ [ "Fan", "Siqi", "" ], [ "Wang", "Zhe", "" ], [ "Huo", "Xiaoliang", "" ], [ "Wang", "Yan", "" ], [ "Liu", "Jingjing", "" ] ]
Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception. However, cameras installed on infrastructure have various postures, and previous BEV detection methods rely on accurate calibration, which is difficult for practic...
cs/0205080
Matus Marko
M. Marko, M.A. Porter, A. Probst, C. Gershenson, A. Das
Transforming the World Wide Web into a Complexity-Based Semantic Network
6 pages, a manuscript for the ICCS 2002
null
null
null
cs.NI cs.IR
null
The aim of this paper is to introduce the idea of the Semantic Web to the Complexity community and set a basic ground for a project resulting in creation of Internet-based semantic network of Complexity-related information providers. Implementation of the Semantic Web technology would be of mutual benefit to both the...
[ { "created": "Fri, 31 May 2002 18:44:36 GMT", "version": "v1" }, { "created": "Sat, 1 Jun 2002 08:03:07 GMT", "version": "v2" } ]
2007-05-23
[ [ "Marko", "M.", "" ], [ "Porter", "M. A.", "" ], [ "Probst", "A.", "" ], [ "Gershenson", "C.", "" ], [ "Das", "A.", "" ] ]
The aim of this paper is to introduce the idea of the Semantic Web to the Complexity community and set a basic ground for a project resulting in creation of Internet-based semantic network of Complexity-related information providers. Implementation of the Semantic Web technology would be of mutual benefit to both the p...
1711.03396
Chihao Zhang
Heng Guo, Chao Liao, Pinyan Lu, Chihao Zhang
Counting hypergraph colorings in the local lemma regime
v3: Constants Changed. Accepted to SICOMP
null
null
null
cs.DS cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a fully polynomial-time approximation scheme (FPTAS) to count the number of $q$-colorings for $k$-uniform hypergraphs with maximum degree $\Delta$ if $k\ge 28$ and $q >357\Delta^{\frac{14}{k-14}}$ . We also obtain a polynomial-time almost uniform sampler if $q>931\Delta^{\frac{16}{k-16/3}}$. These are the fir...
[ { "created": "Thu, 9 Nov 2017 14:49:59 GMT", "version": "v1" }, { "created": "Sun, 12 Nov 2017 08:52:45 GMT", "version": "v2" }, { "created": "Fri, 31 May 2019 13:48:14 GMT", "version": "v3" } ]
2019-06-03
[ [ "Guo", "Heng", "" ], [ "Liao", "Chao", "" ], [ "Lu", "Pinyan", "" ], [ "Zhang", "Chihao", "" ] ]
We give a fully polynomial-time approximation scheme (FPTAS) to count the number of $q$-colorings for $k$-uniform hypergraphs with maximum degree $\Delta$ if $k\ge 28$ and $q >357\Delta^{\frac{14}{k-14}}$ . We also obtain a polynomial-time almost uniform sampler if $q>931\Delta^{\frac{16}{k-16/3}}$. These are the first...
2308.06197
Angus Maiden MAAI(Prof)
Angus Maiden (1), Bahareh Nakisa (1) ((1) Deakin University)
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
13 pages, 9 figures, 6 tables, 3 algorithms. Code available at https://github.com/AngusMaiden/complex-FER
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Complex emotion recognition is a cognitive task that has so far eluded the same excellent performance of other tasks that are at or above the level of human cognition. Emotion recognition through facial expressions is particularly difficult due to the complexity of emotions expressed by the human face. For a machine ...
[ { "created": "Fri, 11 Aug 2023 15:42:48 GMT", "version": "v1" }, { "created": "Sun, 5 Nov 2023 23:34:25 GMT", "version": "v2" } ]
2023-11-07
[ [ "Maiden", "Angus", "", "Deakin University" ], [ "Nakisa", "Bahareh", "", "Deakin University" ] ]
Complex emotion recognition is a cognitive task that has so far eluded the same excellent performance of other tasks that are at or above the level of human cognition. Emotion recognition through facial expressions is particularly difficult due to the complexity of emotions expressed by the human face. For a machine to...
2402.01156
Yongkun Liu
Yongkun Liu, Jiachi Chen, Tingting Bi, John Grundy, Yanlin Wang, Jianxing Yu, Ting Chen, Yutian Tang, Zibin Zheng
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Low-code programming (LCP) refers to programming using models at higher levels of abstraction, resulting in less manual and more efficient programming, and reduced learning effort for amateur developers. Many LCP tools have rapidly evolved and have benefited from the concepts of visual programming languages (VPLs) an...
[ { "created": "Fri, 2 Feb 2024 05:52:32 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 12:07:38 GMT", "version": "v2" } ]
2024-06-07
[ [ "Liu", "Yongkun", "" ], [ "Chen", "Jiachi", "" ], [ "Bi", "Tingting", "" ], [ "Grundy", "John", "" ], [ "Wang", "Yanlin", "" ], [ "Yu", "Jianxing", "" ], [ "Chen", "Ting", "" ], [ "Tang", "Yutia...
Low-code programming (LCP) refers to programming using models at higher levels of abstraction, resulting in less manual and more efficient programming, and reduced learning effort for amateur developers. Many LCP tools have rapidly evolved and have benefited from the concepts of visual programming languages (VPLs) and ...
2406.14155
Dominik Stammbach
Dominik Stammbach and Philine Widmer and Eunjung Cho and Caglar Gulcehre and Elliott Ash
Aligning Large Language Models with Diverse Political Viewpoints
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large language models such as ChatGPT often exhibit striking political biases. If users query them about political information, they might take a normative stance and reinforce such biases. To overcome this, we align LLMs with diverse political viewpoints from 100,000 comments written by candidates running for nation...
[ { "created": "Thu, 20 Jun 2024 09:53:23 GMT", "version": "v1" } ]
2024-06-21
[ [ "Stammbach", "Dominik", "" ], [ "Widmer", "Philine", "" ], [ "Cho", "Eunjung", "" ], [ "Gulcehre", "Caglar", "" ], [ "Ash", "Elliott", "" ] ]
Large language models such as ChatGPT often exhibit striking political biases. If users query them about political information, they might take a normative stance and reinforce such biases. To overcome this, we align LLMs with diverse political viewpoints from 100,000 comments written by candidates running for national...
2101.07768
Ehsan Zabardast
Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Mendez, Tony Gorschek, Krzysztof Wnuk
Assets in Software Engineering: What are they after all?
Manuscript submitted to the Journal of Systems and Software
null
10.1016/j.jss.2022.111485
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During the development and maintenance of software-intensive products or services, we depend on various artefacts. Some of those artefacts, we deem central to the feasibility of a project and the product's final quality. Typically, these central artefacts are referred to as assets. However, despite their central role...
[ { "created": "Tue, 19 Jan 2021 18:31:33 GMT", "version": "v1" }, { "created": "Sun, 24 Oct 2021 13:19:22 GMT", "version": "v2" }, { "created": "Wed, 23 Feb 2022 14:32:15 GMT", "version": "v3" }, { "created": "Wed, 11 May 2022 21:31:28 GMT", "version": "v4" }, { "c...
2022-08-29
[ [ "Zabardast", "Ehsan", "" ], [ "Frattini", "Julian", "" ], [ "Gonzalez-Huerta", "Javier", "" ], [ "Mendez", "Daniel", "" ], [ "Gorschek", "Tony", "" ], [ "Wnuk", "Krzysztof", "" ] ]
During the development and maintenance of software-intensive products or services, we depend on various artefacts. Some of those artefacts, we deem central to the feasibility of a project and the product's final quality. Typically, these central artefacts are referred to as assets. However, despite their central role i...
2108.02290
Max Willsey
Yihong Zhang, Yisu Remy Wang, Max Willsey, Zachary Tatlock
Relational E-Matching
POPL 2022
null
null
null
cs.DB cs.PL
http://creativecommons.org/licenses/by/4.0/
We present a new approach to e-matching based on relational join; in particular, we apply recent database query execution techniques to guarantee worst-case optimal run time. Compared to the conventional backtracking approach that always searches the e-graph "top down", our new relational e-matching approach can bett...
[ { "created": "Wed, 4 Aug 2021 21:23:28 GMT", "version": "v1" }, { "created": "Wed, 5 Jan 2022 21:21:44 GMT", "version": "v2" } ]
2022-01-07
[ [ "Zhang", "Yihong", "" ], [ "Wang", "Yisu Remy", "" ], [ "Willsey", "Max", "" ], [ "Tatlock", "Zachary", "" ] ]
We present a new approach to e-matching based on relational join; in particular, we apply recent database query execution techniques to guarantee worst-case optimal run time. Compared to the conventional backtracking approach that always searches the e-graph "top down", our new relational e-matching approach can better...
1907.09247
Jorge Fandinno
Jorge Fandinno
Founded (Auto)Epistemic Equilibrium Logic Satisfies Epistemic Splitting
Paper presented at the 35th International Conference on Logic Programming (ICLP 2019), Las Cruces, New Mexico, USA, 20-25 September 2019, 16 pages
Theory and Practice of Logic Programming 19 (2019) 671-687
10.1017/S1471068419000127
null
cs.LO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a recent line of research, two familiar concepts from logic programming semantics (unfounded sets and splitting) were extrapolated to the case of epistemic logic programs. The property of epistemic splitting provides a natural and modular way to understand programs without epistemic cycles but, surprisingly, was o...
[ { "created": "Mon, 22 Jul 2019 11:48:15 GMT", "version": "v1" }, { "created": "Thu, 20 Feb 2020 15:33:26 GMT", "version": "v2" } ]
2020-02-21
[ [ "Fandinno", "Jorge", "" ] ]
In a recent line of research, two familiar concepts from logic programming semantics (unfounded sets and splitting) were extrapolated to the case of epistemic logic programs. The property of epistemic splitting provides a natural and modular way to understand programs without epistemic cycles but, surprisingly, was onl...
1902.05260
Peng Wang
Peng Wang, Hong Xu, Xin Jin, Tao Wang
Flash: Efficient Dynamic Routing for Offchain Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Offchain networks emerge as a promising solution to address the scalability challenge of blockchain. Participants directly make payments through a network of payment channels without the overhead of committing onchain transactions. Routing is critical to the performance of offchain networks. Existing solutions use ei...
[ { "created": "Thu, 14 Feb 2019 08:36:57 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2019 03:01:10 GMT", "version": "v2" } ]
2019-06-12
[ [ "Wang", "Peng", "" ], [ "Xu", "Hong", "" ], [ "Jin", "Xin", "" ], [ "Wang", "Tao", "" ] ]
Offchain networks emerge as a promising solution to address the scalability challenge of blockchain. Participants directly make payments through a network of payment channels without the overhead of committing onchain transactions. Routing is critical to the performance of offchain networks. Existing solutions use eith...
1811.05932
Xi Liu
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Streaming Network Embedding through Local Actions
null
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, considerable research attention has been paid to network embedding, a popular approach to construct feature vectors of vertices. Due to the curse of dimensionality and sparsity in graphical datasets, this approach has become indispensable for machine learning tasks over large networks. The majority of exist...
[ { "created": "Wed, 14 Nov 2018 18:02:29 GMT", "version": "v1" } ]
2018-11-15
[ [ "Liu", "Xi", "" ], [ "Hsieh", "Ping-Chun", "" ], [ "Duffield", "Nick", "" ], [ "Chen", "Rui", "" ], [ "Xie", "Muhe", "" ], [ "Wen", "Xidao", "" ] ]
Recently, considerable research attention has been paid to network embedding, a popular approach to construct feature vectors of vertices. Due to the curse of dimensionality and sparsity in graphical datasets, this approach has become indispensable for machine learning tasks over large networks. The majority of existin...
2304.07954
Jihao Huang
Jihao Huang, Jun Zeng, Xuemin Chi, Koushil Sreenath, Zhitao Liu and Hongye Su
Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems
Accepted to IEEE Robotics and Automation Letters (RA-L) 2023, with open source repository released
null
null
null
cs.RO cs.SY eess.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Obstacle avoidance for multi-robot navigation with polytopic shapes is challenging. Existing works simplify the system dynamics or consider it as a convex or non-convex optimization problem with positive distance constraints between robots, which limits real-time performance and scalability. Additionally, generating ...
[ { "created": "Mon, 17 Apr 2023 02:42:48 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 04:40:33 GMT", "version": "v2" } ]
2024-06-11
[ [ "Huang", "Jihao", "" ], [ "Zeng", "Jun", "" ], [ "Chi", "Xuemin", "" ], [ "Sreenath", "Koushil", "" ], [ "Liu", "Zhitao", "" ], [ "Su", "Hongye", "" ] ]
Obstacle avoidance for multi-robot navigation with polytopic shapes is challenging. Existing works simplify the system dynamics or consider it as a convex or non-convex optimization problem with positive distance constraints between robots, which limits real-time performance and scalability. Additionally, generating co...
1907.13432
Dong Liu
Dong Liu, Minh Th\`anh Vu, Saikat Chatterjee, Lars K. Rasmussen
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
IJCNN 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose two neural network based mixture models in this article. The proposed mixture models are explicit in nature. The explicit models have analytical forms with the advantages of computing likelihood and efficiency of generating samples. Computation of likelihood is an important aspect of our models. Expectatio...
[ { "created": "Wed, 31 Jul 2019 11:57:17 GMT", "version": "v1" }, { "created": "Sun, 24 May 2020 19:57:55 GMT", "version": "v2" } ]
2020-05-26
[ [ "Liu", "Dong", "" ], [ "Vu", "Minh Thành", "" ], [ "Chatterjee", "Saikat", "" ], [ "Rasmussen", "Lars K.", "" ] ]
We propose two neural network based mixture models in this article. The proposed mixture models are explicit in nature. The explicit models have analytical forms with the advantages of computing likelihood and efficiency of generating samples. Computation of likelihood is an important aspect of our models. Expectation-...
2009.10233
Boyuan Feng
Boyuan Feng, Yuke Wang, Xu Li, and Yufei Ding
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNNs) have achieved high performance in analyzing graph-structured data and have been widely deployed in safety-critical areas, such as finance and autonomous driving. However, only a few works have explored GNNs' robustness to adversarial attacks, and their designs are usually limited by the s...
[ { "created": "Tue, 22 Sep 2020 00:33:36 GMT", "version": "v1" } ]
2020-09-23
[ [ "Feng", "Boyuan", "" ], [ "Wang", "Yuke", "" ], [ "Li", "Xu", "" ], [ "Ding", "Yufei", "" ] ]
Graph neural networks (GNNs) have achieved high performance in analyzing graph-structured data and have been widely deployed in safety-critical areas, such as finance and autonomous driving. However, only a few works have explored GNNs' robustness to adversarial attacks, and their designs are usually limited by the sca...
2407.17483
Sherri WeitlHarms
Sherri Harms
Tackling CS education in K-12: Implementing a Google CS4HS Grant Program in a Rural Underserved Area
Presented at and published in the proceedings of MICS 2017: https://www.micsymposium.org/mics_2017_proceedings/docs/MICS_2017_paper_44.pdf; 8 pages, 2 figures
Harms, S. K. (2017). Tackling CS education in K-12: Implementing a Google CS4HS Grant Program. La Crosse, WI: 2017 Midwest Instructional Computing Symposium Proceedings
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Providing computer science (CS) offerings in the K-12 education system is often limited by the lack of experienced teachers, especially in small or rural underserved school districts. By helping teachers in underserved areas develop CS curriculum and helping them become certified to teach CS courses, more young peopl...
[ { "created": "Tue, 2 Jul 2024 18:36:06 GMT", "version": "v1" } ]
2024-07-26
[ [ "Harms", "Sherri", "" ] ]
Providing computer science (CS) offerings in the K-12 education system is often limited by the lack of experienced teachers, especially in small or rural underserved school districts. By helping teachers in underserved areas develop CS curriculum and helping them become certified to teach CS courses, more young people ...
2101.11946
Stefan Heidekr\"uger
Stefan Heidekr\"uger, Paul Sutterer, Nils Kohring, Maximilian Fichtl, and Martin Bichler
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics
This version includes the supplementary material with additional proofs
null
null
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Applications of combinatorial auctions (CA) as market mechanisms are prevalent in practice, yet their Bayesian Nash equilibria (BNE) remain poorly understood. Analytical solutions are known only for a few cases where the problem can be reformulated as a tractable partial differential equation (PDE). In the general ca...
[ { "created": "Thu, 28 Jan 2021 11:53:32 GMT", "version": "v1" }, { "created": "Sat, 6 Feb 2021 11:47:52 GMT", "version": "v2" } ]
2021-02-09
[ [ "Heidekrüger", "Stefan", "" ], [ "Sutterer", "Paul", "" ], [ "Kohring", "Nils", "" ], [ "Fichtl", "Maximilian", "" ], [ "Bichler", "Martin", "" ] ]
Applications of combinatorial auctions (CA) as market mechanisms are prevalent in practice, yet their Bayesian Nash equilibria (BNE) remain poorly understood. Analytical solutions are known only for a few cases where the problem can be reformulated as a tractable partial differential equation (PDE). In the general case...
2205.11020
Rohitash Chandra
Rohitash Chandra, Mukul Ranjan
Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita
null
null
10.1371/journal.pone.0273476
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
A distinct feature of Hindu religious and philosophical text is that they come from a library of texts rather than single source. The Upanishads is known as one of the oldest philosophical texts in the world that forms the foundation of Hindu philosophy. The Bhagavad Gita is core text of Hindu philosophy and is known...
[ { "created": "Mon, 23 May 2022 03:39:00 GMT", "version": "v1" } ]
2022-10-12
[ [ "Chandra", "Rohitash", "" ], [ "Ranjan", "Mukul", "" ] ]
A distinct feature of Hindu religious and philosophical text is that they come from a library of texts rather than single source. The Upanishads is known as one of the oldest philosophical texts in the world that forms the foundation of Hindu philosophy. The Bhagavad Gita is core text of Hindu philosophy and is known a...
1711.02447
Kaushik Sarker
Md. Maruf Hassan, Kaushik Sarker, Saikat Biswas, Md. Hasan Sharif
Detection of Wordpress Content Injection Vulnerability
null
null
10.5121/ijci.2017.6501
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of content management software (CMS) is growing vastly to the web developers and the business people because of its capacity for easy accessibility, manageability and usability of the distributed website contents. As per the statistics of Built with, 32% of the web applications are developed with WordP...
[ { "created": "Tue, 7 Nov 2017 13:01:18 GMT", "version": "v1" } ]
2017-11-08
[ [ "Hassan", "Md. Maruf", "" ], [ "Sarker", "Kaushik", "" ], [ "Biswas", "Saikat", "" ], [ "Sharif", "Md. Hasan", "" ] ]
The popularity of content management software (CMS) is growing vastly to the web developers and the business people because of its capacity for easy accessibility, manageability and usability of the distributed website contents. As per the statistics of Built with, 32% of the web applications are developed with WordPre...
1709.00700
Sebastian Bre{\ss}
Sebastian Bre{\ss} and Bastian K\"ocher and Henning Funke and Tilmann Rabl and Volker Markl
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors
22 pages
null
null
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Processor manufacturers build increasingly specialized processors to mitigate the effects of the power wall to deliver improved performance. Currently, database engines are manually optimized for each processor: A costly and error prone process. In this paper, we propose concepts to enable the database engine to pe...
[ { "created": "Sun, 3 Sep 2017 11:16:31 GMT", "version": "v1" } ]
2017-09-05
[ [ "Breß", "Sebastian", "" ], [ "Köcher", "Bastian", "" ], [ "Funke", "Henning", "" ], [ "Rabl", "Tilmann", "" ], [ "Markl", "Volker", "" ] ]
Processor manufacturers build increasingly specialized processors to mitigate the effects of the power wall to deliver improved performance. Currently, database engines are manually optimized for each processor: A costly and error prone process. In this paper, we propose concepts to enable the database engine to perfor...
1604.08552
Sameh Sorour
Rabe Arshad, Hesham ElSawy, Sameh Sorour, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
Handover Management in Dense Cellular Networks: A Stochastic Geometry Approach
7 pages, 7 figures, ICC 2016
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cellular operators are continuously densifying their networks to cope with the ever-increasing capacity demand. Furthermore, an extreme densification phase for cellular networks is foreseen to fulfill the ambitious fifth generation (5G) performance requirements. Network densification improves spectrum utilization and...
[ { "created": "Thu, 28 Apr 2016 18:44:12 GMT", "version": "v1" } ]
2016-04-29
[ [ "Arshad", "Rabe", "" ], [ "ElSawy", "Hesham", "" ], [ "Sorour", "Sameh", "" ], [ "Al-Naffouri", "Tareq Y.", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
Cellular operators are continuously densifying their networks to cope with the ever-increasing capacity demand. Furthermore, an extreme densification phase for cellular networks is foreseen to fulfill the ambitious fifth generation (5G) performance requirements. Network densification improves spectrum utilization and n...
1903.08314
Shigeru Furuichi Dr.
Shigeru Furuichi and Nicu\c{s}or Minculete
Inequalities related to some types of entropies and divergences
21 pages
null
10.1016/j.physa.2019.121907
null
cs.IT math.CA math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The aim of this paper is to discuss new results concerning some kinds of parametric extended entropies and divergences. As a result of our studies for mathematical properties on entropy and divergence, we give new bounds for the Tsallis quasilinear entropy and divergence by applying the Hermite-Hadamard inequality. W...
[ { "created": "Wed, 20 Mar 2019 02:03:40 GMT", "version": "v1" }, { "created": "Sat, 13 Jul 2019 02:38:55 GMT", "version": "v2" } ]
2019-07-24
[ [ "Furuichi", "Shigeru", "" ], [ "Minculete", "Nicuşor", "" ] ]
The aim of this paper is to discuss new results concerning some kinds of parametric extended entropies and divergences. As a result of our studies for mathematical properties on entropy and divergence, we give new bounds for the Tsallis quasilinear entropy and divergence by applying the Hermite-Hadamard inequality. We ...
2012.01227
Taehyeong Kim
Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Accepted to ICML 2021
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data. In real-world problems where data cannot be stored indefinitely due to limited storage or privacy issues, the query selection and the model update should be performed...
[ { "created": "Wed, 2 Dec 2020 14:14:42 GMT", "version": "v1" }, { "created": "Wed, 24 Feb 2021 10:04:51 GMT", "version": "v2" }, { "created": "Sat, 10 Jul 2021 05:58:30 GMT", "version": "v3" } ]
2021-07-13
[ [ "Kim", "Taehyeong", "" ], [ "Hwang", "Injune", "" ], [ "Lee", "Hyundo", "" ], [ "Kim", "Hyunseo", "" ], [ "Choi", "Won-Seok", "" ], [ "Lim", "Joseph J.", "" ], [ "Zhang", "Byoung-Tak", "" ] ]
Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data. In real-world problems where data cannot be stored indefinitely due to limited storage or privacy issues, the query selection and the model update should be performed a...
cs/0103008
Ke Xu
Shilong Ma, Yuefei Sui, Ke Xu
The Limits of Horn Logic Programs
11 pages, added new results. Welcome any comments to kexu@nlsde.buaa.edu.cn
In P. J. Stuckey (Ed.): Proc. of 18th ICLP (short paper), LNCS 2401, p. 467, Denmark, 2002.
null
null
cs.LO cs.PL
null
Given a sequence $\{\Pi_n\}$ of Horn logic programs, the limit $\Pi$ of $\{\Pi_n\}$ is the set of the clauses such that every clause in $\Pi$ belongs to almost every $\Pi_n$ and every clause in infinitely many $\Pi_n$'s belongs to $\Pi$ also. The limit program $\Pi$ is still Horn but may be infinite. In this paper, w...
[ { "created": "Thu, 8 Mar 2001 07:42:48 GMT", "version": "v1" }, { "created": "Fri, 9 Mar 2001 03:36:48 GMT", "version": "v2" }, { "created": "Thu, 7 Feb 2002 09:25:45 GMT", "version": "v3" } ]
2007-05-23
[ [ "Ma", "Shilong", "" ], [ "Sui", "Yuefei", "" ], [ "Xu", "Ke", "" ] ]
Given a sequence $\{\Pi_n\}$ of Horn logic programs, the limit $\Pi$ of $\{\Pi_n\}$ is the set of the clauses such that every clause in $\Pi$ belongs to almost every $\Pi_n$ and every clause in infinitely many $\Pi_n$'s belongs to $\Pi$ also. The limit program $\Pi$ is still Horn but may be infinite. In this paper, we ...
2109.00632
Sriram Baireddy
Changye Yang, Sriram Baireddy, Enyu Cai, Melba Crawford, Edward J. Delp
Field-Based Plot Extraction Using UAV RGB Images
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials. Field experiments, which may comprise thousands of plants, are planted according to experimental designs to evaluate...
[ { "created": "Wed, 1 Sep 2021 22:04:59 GMT", "version": "v1" } ]
2021-09-03
[ [ "Yang", "Changye", "" ], [ "Baireddy", "Sriram", "" ], [ "Cai", "Enyu", "" ], [ "Crawford", "Melba", "" ], [ "Delp", "Edward J.", "" ] ]
Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials. Field experiments, which may comprise thousands of plants, are planted according to experimental designs to evaluate v...
2309.16632
Andrei Graur
Andrei Graur, Haotian Jiang, Aaron Sidford
Sparse Submodular Function Minimization
Accepted to FOCS 2023
null
null
null
cs.DS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study the problem of minimizing a submodular function $f : 2^V \rightarrow \mathbb{R}$ that is guaranteed to have a $k$-sparse minimizer. We give a deterministic algorithm that computes an additive $\epsilon$-approximate minimizer of such $f$ in $\widetilde{O}(\mathsf{poly}(k) \log(|f|/\epsilon))$ pa...
[ { "created": "Thu, 28 Sep 2023 17:38:13 GMT", "version": "v1" }, { "created": "Sat, 6 Jul 2024 11:06:01 GMT", "version": "v2" } ]
2024-07-09
[ [ "Graur", "Andrei", "" ], [ "Jiang", "Haotian", "" ], [ "Sidford", "Aaron", "" ] ]
In this paper we study the problem of minimizing a submodular function $f : 2^V \rightarrow \mathbb{R}$ that is guaranteed to have a $k$-sparse minimizer. We give a deterministic algorithm that computes an additive $\epsilon$-approximate minimizer of such $f$ in $\widetilde{O}(\mathsf{poly}(k) \log(|f|/\epsilon))$ para...
2407.12254
Ching Chang
Ting-Yun Ou, Ching Chang, Wen-Chih Peng
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data
This paper has been accepted by the ACM International Conference on Information and Knowledge Management (CIKM) 2024
null
null
null
cs.LG stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding causal relationships between machines is crucial for fault diagnosis and optimization in manufacturing processes. Real-world datasets frequently exhibit up to 90% missing data and high dimensionality from hundreds of sensors. These datasets also include domain-specific expert knowledge and chronological...
[ { "created": "Wed, 17 Jul 2024 01:51:27 GMT", "version": "v1" }, { "created": "Thu, 1 Aug 2024 01:21:57 GMT", "version": "v2" } ]
2024-08-02
[ [ "Ou", "Ting-Yun", "" ], [ "Chang", "Ching", "" ], [ "Peng", "Wen-Chih", "" ] ]
Understanding causal relationships between machines is crucial for fault diagnosis and optimization in manufacturing processes. Real-world datasets frequently exhibit up to 90% missing data and high dimensionality from hundreds of sensors. These datasets also include domain-specific expert knowledge and chronological o...
1311.1163
Zuoqiang Shi
Thomas Y. Hou, Zuoqiang Shi
Sparse Time-Frequency decomposition by dictionary learning
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a time-frequency analysis method to obtain instantaneous frequencies and the corresponding decomposition by solving an optimization problem. In this optimization problem, the basis to decompose the signal is not known. Instead, it is adapted to the signal and is determined as part of the opt...
[ { "created": "Thu, 5 Sep 2013 12:55:41 GMT", "version": "v1" }, { "created": "Sat, 11 Oct 2014 08:47:30 GMT", "version": "v2" } ]
2014-10-14
[ [ "Hou", "Thomas Y.", "" ], [ "Shi", "Zuoqiang", "" ] ]
In this paper, we propose a time-frequency analysis method to obtain instantaneous frequencies and the corresponding decomposition by solving an optimization problem. In this optimization problem, the basis to decompose the signal is not known. Instead, it is adapted to the signal and is determined as part of the optim...
1711.09728
Nazmus Saquib
Md. Naimul Hoque, Rawshan E Fatima, Manash Kumar Mandal, Nazmus Saquib
Evaluating gender portrayal in Bangladeshi TV
Presented at NIPS 2017 Workshop on Machine Learning for the Developing World. Corresponding author: Nazmus Saquib
null
null
null
cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer Vision and machine learning methods were previously used to reveal screen presence of genders in TV and movies. In this work, using head pose, gender detection, and skin color estimation techniques, we demonstrate that the gender disparity in TV in a South Asian country such as Bangladesh exhibits unique cha...
[ { "created": "Tue, 14 Nov 2017 17:54:13 GMT", "version": "v1" } ]
2017-11-29
[ [ "Hoque", "Md. Naimul", "" ], [ "Fatima", "Rawshan E", "" ], [ "Mandal", "Manash Kumar", "" ], [ "Saquib", "Nazmus", "" ] ]
Computer Vision and machine learning methods were previously used to reveal screen presence of genders in TV and movies. In this work, using head pose, gender detection, and skin color estimation techniques, we demonstrate that the gender disparity in TV in a South Asian country such as Bangladesh exhibits unique chara...
2207.07629
Zhiruo Zhou
Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost. A green unsupervised single-object tracker, called GUSOT, that aims at object tracking for long videos under a resource-constrained envi...
[ { "created": "Fri, 15 Jul 2022 17:42:49 GMT", "version": "v1" } ]
2022-07-18
[ [ "Zhou", "Zhiruo", "" ], [ "Fu", "Hongyu", "" ], [ "You", "Suya", "" ], [ "Kuo", "C. -C. Jay", "" ] ]
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost. A green unsupervised single-object tracker, called GUSOT, that aims at object tracking for long videos under a resource-constrained enviro...
2404.14739
Utkarsh Gupta
Utkarsh Gupta, Emmanouil Nikolakakis, Moritz Zaiss, Razvan Marinescu
BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconstructing digital brain phantoms in the form of voxel-based, multi-channeled tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing image processing methods. We demonstrate the first framework that estim...
[ { "created": "Tue, 23 Apr 2024 04:45:23 GMT", "version": "v1" }, { "created": "Sun, 30 Jun 2024 04:00:09 GMT", "version": "v2" } ]
2024-07-02
[ [ "Gupta", "Utkarsh", "" ], [ "Nikolakakis", "Emmanouil", "" ], [ "Zaiss", "Moritz", "" ], [ "Marinescu", "Razvan", "" ] ]
Reconstructing digital brain phantoms in the form of voxel-based, multi-channeled tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing image processing methods. We demonstrate the first framework that estimat...
2011.10659
Mathilde Fekom
Mathilde Fekom and Argyris Kalogeratos
Efficient stream-based Max-Min diversification with minimal failure rate
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
The stream-based Max-Min diversification problem concerns the task of selecting a limited number of diverse instances from a data stream. The nature of the problem demands immediate and irrevocable decisions. The set-wise diversity to be maximized is the minimum distance among any pair of the selected instances. Stan...
[ { "created": "Tue, 17 Nov 2020 14:20:16 GMT", "version": "v1" } ]
2020-11-24
[ [ "Fekom", "Mathilde", "" ], [ "Kalogeratos", "Argyris", "" ] ]
The stream-based Max-Min diversification problem concerns the task of selecting a limited number of diverse instances from a data stream. The nature of the problem demands immediate and irrevocable decisions. The set-wise diversity to be maximized is the minimum distance among any pair of the selected instances. Standa...
2209.10477
Yan Liu
Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, Guanyu Chen, Terence Tracey, Giuseppe Carenini, Richard Young
Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling
Conference proceedings of 2022 SBP-BRiMS
In: Thomson, R., Dancy, C., Pyke, A. (eds) SBP-BRiMS 2022. Lecture Notes in Computer Science, vol 13558. Springer, Cham (2022)
10.1007/978-3-031-17114-7_21
null
cs.CL stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transition to Adulthood is an essential life stage for many families. The prior research has shown that young people with intellectual or development disabil-ities (IDD) have more challenges than their peers. This study is to explore how to use natural language processing (NLP) methods, especially unsupervised machin...
[ { "created": "Wed, 21 Sep 2022 16:23:45 GMT", "version": "v1" } ]
2022-09-22
[ [ "Liu", "Yan", "" ], [ "Laricheva", "Maria", "" ], [ "Zhang", "Chiyu", "" ], [ "Boutet", "Patrick", "" ], [ "Chen", "Guanyu", "" ], [ "Tracey", "Terence", "" ], [ "Carenini", "Giuseppe", "" ], [ "You...
Transition to Adulthood is an essential life stage for many families. The prior research has shown that young people with intellectual or development disabil-ities (IDD) have more challenges than their peers. This study is to explore how to use natural language processing (NLP) methods, especially unsupervised machine ...
2303.05740
Furan Xie
Bing Liu, Furan Xie and Li Chai
A Novel Bilateral Energy Trading Mechanism for Electricity Markets with Numerous Prosumers
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid development of distributed energy resources, increasing number of residential and commercial users have been switched from pure electricity consumers to prosumers that can both consume and produce energy. To properly manage these emerging prosumers, a peer-to-peer electricity market has been explored a...
[ { "created": "Fri, 10 Mar 2023 06:49:53 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 12:39:52 GMT", "version": "v2" }, { "created": "Thu, 14 Sep 2023 03:36:37 GMT", "version": "v3" } ]
2023-09-15
[ [ "Liu", "Bing", "" ], [ "Xie", "Furan", "" ], [ "Chai", "Li", "" ] ]
With the rapid development of distributed energy resources, increasing number of residential and commercial users have been switched from pure electricity consumers to prosumers that can both consume and produce energy. To properly manage these emerging prosumers, a peer-to-peer electricity market has been explored and...
2002.03586
Thomas Sturm
Hamid Rahkooy and Thomas Sturm
First-Order Tests for Toricity
null
Proc. CASC 2020, LNCS 12291, pp.510-527, Springer 2020
10.1007/978-3-030-60026-6_30
null
cs.SC q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by problems arising with the symbolic analysis of steady state ideals in Chemical Reaction Network Theory, we consider the problem of testing whether the points in a complex or real variety with non-zero coordinates form a coset of a multiplicative group. That property corresponds to Shifted Toricity, a rec...
[ { "created": "Mon, 10 Feb 2020 07:56:07 GMT", "version": "v1" } ]
2020-10-22
[ [ "Rahkooy", "Hamid", "" ], [ "Sturm", "Thomas", "" ] ]
Motivated by problems arising with the symbolic analysis of steady state ideals in Chemical Reaction Network Theory, we consider the problem of testing whether the points in a complex or real variety with non-zero coordinates form a coset of a multiplicative group. That property corresponds to Shifted Toricity, a recen...
2006.01780
Rahat Yeasin Emon
Rahat Yeasin Emon
A Novel Nudity Detection Algorithm for Web and Mobile Application Development
5 pages
null
null
null
cs.CV cs.MM
http://creativecommons.org/licenses/by/4.0/
In our current web and mobile application development runtime nude image content detection is very important. This paper presents a runtime nudity detection method for web and mobile application development. We use two parameters to detect the nude content of an image. One is the number of skin pixels another is face...
[ { "created": "Tue, 2 Jun 2020 17:00:47 GMT", "version": "v1" }, { "created": "Sun, 28 Jun 2020 15:29:09 GMT", "version": "v2" } ]
2020-06-30
[ [ "Emon", "Rahat Yeasin", "" ] ]
In our current web and mobile application development runtime nude image content detection is very important. This paper presents a runtime nudity detection method for web and mobile application development. We use two parameters to detect the nude content of an image. One is the number of skin pixels another is face r...
2008.08675
Anders Johan Andreassen
Anders Andreassen, Ethan Dyer
Asymptotics of Wide Convolutional Neural Networks
23 pages, 12 figures
null
null
null
cs.LG hep-th stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wide neural networks have proven to be a rich class of architectures for both theory and practice. Motivated by the observation that finite width convolutional networks appear to outperform infinite width networks, we study scaling laws for wide CNNs and networks with skip connections. Following the approach of (Dyer...
[ { "created": "Wed, 19 Aug 2020 21:22:19 GMT", "version": "v1" } ]
2020-08-21
[ [ "Andreassen", "Anders", "" ], [ "Dyer", "Ethan", "" ] ]
Wide neural networks have proven to be a rich class of architectures for both theory and practice. Motivated by the observation that finite width convolutional networks appear to outperform infinite width networks, we study scaling laws for wide CNNs and networks with skip connections. Following the approach of (Dyer &...
1702.03186
Matthieu Guillot
Matthieu Guillot and Gautier Stauffer
The Stochastic Shortest Path Problem : A polyhedral combinatorics perspective
null
null
null
null
cs.DM math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we give a new framework for the stochastic shortest path problem in finite state and action spaces. Our framework generalizes both the frameworks proposed by Bertsekas and Tsitsikli and by Bertsekas and Yu. We prove that the problem is well-defined and (weakly) polynomial when (i) there is a way to rea...
[ { "created": "Fri, 10 Feb 2017 14:36:32 GMT", "version": "v1" } ]
2017-02-13
[ [ "Guillot", "Matthieu", "" ], [ "Stauffer", "Gautier", "" ] ]
In this paper, we give a new framework for the stochastic shortest path problem in finite state and action spaces. Our framework generalizes both the frameworks proposed by Bertsekas and Tsitsikli and by Bertsekas and Yu. We prove that the problem is well-defined and (weakly) polynomial when (i) there is a way to reach...