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1201.6022
Yuval Domb
Yuval Domb and Meir Feder
Non-Random Coding Error Exponent for Lattices
A subset of this work was submitted to the IEEE International Symposium on Information Theory (ISIT) 2012
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An upper bound on the error probability of specific lattices, based on their distance-spectrum, is constructed. The derivation is accomplished using a simple alternative to the Minkowski-Hlawka mean-value theorem of the geometry of numbers. In many ways, the new bound greatly resembles the Shulman-Feder bound for lin...
[ { "created": "Sun, 29 Jan 2012 09:12:30 GMT", "version": "v1" }, { "created": "Mon, 6 Feb 2012 14:10:53 GMT", "version": "v2" }, { "created": "Mon, 20 Feb 2012 11:56:33 GMT", "version": "v3" }, { "created": "Mon, 10 Sep 2012 11:29:23 GMT", "version": "v4" }, { "cr...
2013-01-03
[ [ "Domb", "Yuval", "" ], [ "Feder", "Meir", "" ] ]
An upper bound on the error probability of specific lattices, based on their distance-spectrum, is constructed. The derivation is accomplished using a simple alternative to the Minkowski-Hlawka mean-value theorem of the geometry of numbers. In many ways, the new bound greatly resembles the Shulman-Feder bound for linea...
2102.03233
Abhishek Sharma
Abhishek Sharma, Maks Ovsjanikov
Matrix Decomposition on Graphs: A Functional View
Under Review. arXiv admin note: substantial text overlap with arXiv:2009.14343
null
null
null
cs.LG cs.CV cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a functional view of matrix decomposition problems on graphs such as geometric matrix completion and graph regularized dimensionality reduction. Our unifying framework is based on the key idea that using a reduced basis to represent functions on the product space is sufficient to recover a low rank matrix ...
[ { "created": "Fri, 5 Feb 2021 15:28:11 GMT", "version": "v1" } ]
2021-02-08
[ [ "Sharma", "Abhishek", "" ], [ "Ovsjanikov", "Maks", "" ] ]
We propose a functional view of matrix decomposition problems on graphs such as geometric matrix completion and graph regularized dimensionality reduction. Our unifying framework is based on the key idea that using a reduced basis to represent functions on the product space is sufficient to recover a low rank matrix ap...
2311.13088
Yingxian Chen
Elton H.L. Yeung, Yingxian Chen, Wilton W.T. Fok, Gary K.K. Lau
Validation of Consumer-grade Digital Camera-based Human Activity Evaluation for Upper Limb Exercises and Development of a Therapist-guided, Automated Telerehabilitation Framework and Platform for Stroke Rehabilitation
it's not a ready paper to be uploaded
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Timely and adequate rehabilitation is critical in facilitating post-stroke recovery. However, the organization and delivery of rehabilitation are resource-demanding, and are only available to approximately 25% of stroke survivors in low-to-middle-income countries. Improving access to stroke rehabilitation services th...
[ { "created": "Wed, 22 Nov 2023 01:38:38 GMT", "version": "v1" }, { "created": "Sat, 10 Feb 2024 15:48:19 GMT", "version": "v2" } ]
2024-02-13
[ [ "Yeung", "Elton H. L.", "" ], [ "Chen", "Yingxian", "" ], [ "Fok", "Wilton W. T.", "" ], [ "Lau", "Gary K. K.", "" ] ]
Timely and adequate rehabilitation is critical in facilitating post-stroke recovery. However, the organization and delivery of rehabilitation are resource-demanding, and are only available to approximately 25% of stroke survivors in low-to-middle-income countries. Improving access to stroke rehabilitation services thro...
2108.07353
Leo Sampaio Ferraz Ribeiro
Leo Sampaio Ferraz Ribeiro and Tu Bui and John Collomosse and Moacir Ponti
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch
Accepted to the 1st Workshop on Sketching for Human Expressivity (SHE), at ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to learn both a cross-modal search embedding for matching sketched com...
[ { "created": "Mon, 16 Aug 2021 21:40:16 GMT", "version": "v1" } ]
2021-08-18
[ [ "Ribeiro", "Leo Sampaio Ferraz", "" ], [ "Bui", "Tu", "" ], [ "Collomosse", "John", "" ], [ "Ponti", "Moacir", "" ] ]
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to learn both a cross-modal search embedding for matching sketched compo...
2405.00025
Md. Shohanur Islam Sobuj
Md. Shohanur Islam Sobuj, Md. Imran Hossen, Md. Foysal Mahmud and Mahbub Ul Islam Khan
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Rice disease classification is a critical task in agricultural research, and in this study, we rigorously evaluate the impact of integrating feature extraction methodologies within pre-trained convolutional neural networks (CNNs). Initial investigations into baseline models, devoid of feature extraction, revealed com...
[ { "created": "Mon, 26 Feb 2024 07:19:48 GMT", "version": "v1" } ]
2024-05-02
[ [ "Sobuj", "Md. Shohanur Islam", "" ], [ "Hossen", "Md. Imran", "" ], [ "Mahmud", "Md. Foysal", "" ], [ "Khan", "Mahbub Ul Islam", "" ] ]
Rice disease classification is a critical task in agricultural research, and in this study, we rigorously evaluate the impact of integrating feature extraction methodologies within pre-trained convolutional neural networks (CNNs). Initial investigations into baseline models, devoid of feature extraction, revealed comme...
2403.10795
Zhehui Huang
Zhehui Huang, Guangyao Shi, Gaurav S. Sukhatme
Can Large Language Models Solve Robot Routing?
Submitted to International Symposium of Robotics Research (ISRR 2024)
null
null
null
cs.CL cs.AI cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
Routing problems are common in mobile robotics, encompassing tasks such as inspection, surveillance, and coverage. Depending on the objective and constraints, these problems often reduce to variants of the Traveling Salesman Problem (TSP), with solutions traditionally derived by translating high-level objectives into...
[ { "created": "Sat, 16 Mar 2024 03:54:38 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2024 21:14:23 GMT", "version": "v2" } ]
2024-08-08
[ [ "Huang", "Zhehui", "" ], [ "Shi", "Guangyao", "" ], [ "Sukhatme", "Gaurav S.", "" ] ]
Routing problems are common in mobile robotics, encompassing tasks such as inspection, surveillance, and coverage. Depending on the objective and constraints, these problems often reduce to variants of the Traveling Salesman Problem (TSP), with solutions traditionally derived by translating high-level objectives into a...
1805.07505
Yang Liu
Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
Free-rider Episode Screening via Dual Partition Model
The 23rd International Conference on Database Systems for Advanced Applications(DASFAA 2018), 16 Pages
null
null
null
cs.DB cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the drawbacks of frequent episode mining is that overwhelmingly many of the discovered patterns are redundant. Free-rider episode, as a typical example, consists of a real pattern doped with some additional noise events. Because of the possible high support of the inside noise events, such free-rider episodes ...
[ { "created": "Sat, 19 May 2018 03:34:09 GMT", "version": "v1" } ]
2018-05-22
[ [ "Ao", "Xiang", "" ], [ "Liu", "Yang", "" ], [ "Huang", "Zhen", "" ], [ "Zuo", "Luo", "" ], [ "He", "Qing", "" ] ]
One of the drawbacks of frequent episode mining is that overwhelmingly many of the discovered patterns are redundant. Free-rider episode, as a typical example, consists of a real pattern doped with some additional noise events. Because of the possible high support of the inside noise events, such free-rider episodes ma...
1703.00641
Dong Yin
Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes
To appear in IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider the mixture of sparse linear regressions model. Let ${\beta}^{(1)},\ldots,{\beta}^{(L)}\in\mathbb{C}^n$ be $ L $ unknown sparse parameter vectors with a total of $ K $ non-zero coefficients. Noisy linear measurements are obtained in the form $y_i={x}_i^H {\beta}^{(\ell_i)} + w_i$, each of w...
[ { "created": "Thu, 2 Mar 2017 07:15:41 GMT", "version": "v1" }, { "created": "Thu, 2 Aug 2018 05:59:48 GMT", "version": "v2" } ]
2018-08-03
[ [ "Yin", "Dong", "" ], [ "Pedarsani", "Ramtin", "" ], [ "Chen", "Yudong", "" ], [ "Ramchandran", "Kannan", "" ] ]
In this paper, we consider the mixture of sparse linear regressions model. Let ${\beta}^{(1)},\ldots,{\beta}^{(L)}\in\mathbb{C}^n$ be $ L $ unknown sparse parameter vectors with a total of $ K $ non-zero coefficients. Noisy linear measurements are obtained in the form $y_i={x}_i^H {\beta}^{(\ell_i)} + w_i$, each of whi...
2102.02243
Setareh Sharifian
Setareh Sharifian, Reihaneh Safavi-Naini
Information-theoretic Key Encapsulation and its Applications
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A hybrid encryption scheme is a public-key encryption system that consists of a public-key part called the key encapsulation mechanism (KEM), and a (symmetric) secret-key part called data encapsulation mechanism (DEM): the public-key part is used to generate a shared secret key between two parties, and the symmetric ...
[ { "created": "Wed, 3 Feb 2021 19:23:55 GMT", "version": "v1" }, { "created": "Thu, 1 Apr 2021 23:15:20 GMT", "version": "v2" } ]
2021-04-05
[ [ "Sharifian", "Setareh", "" ], [ "Safavi-Naini", "Reihaneh", "" ] ]
A hybrid encryption scheme is a public-key encryption system that consists of a public-key part called the key encapsulation mechanism (KEM), and a (symmetric) secret-key part called data encapsulation mechanism (DEM): the public-key part is used to generate a shared secret key between two parties, and the symmetric ke...
1807.07761
Marco Cremonini
Marco Cremonini and Francesca Casamassima
Controllability of Social Networks and the Strategic Use of Random Information
null
Computational Social Networks 2017 4:10
10.1186/s40649-017-0046-2
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender systems or search engines, and...
[ { "created": "Fri, 20 Jul 2018 09:47:35 GMT", "version": "v1" } ]
2018-07-23
[ [ "Cremonini", "Marco", "" ], [ "Casamassima", "Francesca", "" ] ]
This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender systems or search engines, and r...
1901.08021
Richard Klima
Richard Klima, Daan Bloembergen, Michael Kaisers, Karl Tuyls
Robust Temporal Difference Learning for Critical Domains
AAMAS 2019
null
null
null
cs.LG cs.MA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new Q-function operator for temporal difference (TD) learning methods that explicitly encodes robustness against significant rare events (SRE) in critical domains. The operator, which we call the $\kappa$-operator, allows to learn a robust policy in a model-based fashion without actually observing the SR...
[ { "created": "Wed, 23 Jan 2019 17:34:51 GMT", "version": "v1" }, { "created": "Wed, 13 Mar 2019 09:27:46 GMT", "version": "v2" } ]
2019-03-14
[ [ "Klima", "Richard", "" ], [ "Bloembergen", "Daan", "" ], [ "Kaisers", "Michael", "" ], [ "Tuyls", "Karl", "" ] ]
We present a new Q-function operator for temporal difference (TD) learning methods that explicitly encodes robustness against significant rare events (SRE) in critical domains. The operator, which we call the $\kappa$-operator, allows to learn a robust policy in a model-based fashion without actually observing the SRE....
2112.04215
Enrico Fini
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-supervised models have been shown to produce comparable or better visual representations than their supervised counterparts when trained offline on unlabeled data at scale. However, their efficacy is catastrophically reduced in a Continual Learning (CL) scenario where data is presented to the model sequentially....
[ { "created": "Wed, 8 Dec 2021 10:39:13 GMT", "version": "v1" }, { "created": "Fri, 1 Apr 2022 12:48:43 GMT", "version": "v2" } ]
2022-04-04
[ [ "Fini", "Enrico", "" ], [ "da Costa", "Victor G. Turrisi", "" ], [ "Alameda-Pineda", "Xavier", "" ], [ "Ricci", "Elisa", "" ], [ "Alahari", "Karteek", "" ], [ "Mairal", "Julien", "" ] ]
Self-supervised models have been shown to produce comparable or better visual representations than their supervised counterparts when trained offline on unlabeled data at scale. However, their efficacy is catastrophically reduced in a Continual Learning (CL) scenario where data is presented to the model sequentially. I...
0905.4303
Jaspreet Singh
Jaspreet Singh and Upamanyu Madhow
On Block Noncoherent Communication with Low-Precision Phase Quantization at the Receiver
IEEE ISIT 2009
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider communication over the block noncoherent AWGN channel with low-precision Analog-to-Digital Converters (ADCs) at the receiver. For standard uniform Phase Shift Keying (PSK) modulation, we investigate the performance of a receiver architecture that quantizes only the phase of the received signal; this has t...
[ { "created": "Tue, 26 May 2009 23:58:22 GMT", "version": "v1" } ]
2009-05-28
[ [ "Singh", "Jaspreet", "" ], [ "Madhow", "Upamanyu", "" ] ]
We consider communication over the block noncoherent AWGN channel with low-precision Analog-to-Digital Converters (ADCs) at the receiver. For standard uniform Phase Shift Keying (PSK) modulation, we investigate the performance of a receiver architecture that quantizes only the phase of the received signal; this has the...
2109.08920
Wei Yan
Wei Yan, Sian-Jheng Lin
A Tighter Upper Bound of the Expansion Factor for Universal Coding of Integers and Its Code Constructions
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In entropy coding, universal coding of integers~(UCI) is a binary universal prefix code, such that the ratio of the expected codeword length to $\max\{1, H(P)\}$ is less than or equal to a constant expansion factor $K_{\mathcal{C}}$ for any probability distribution $P$, where $H(P)$ is the Shannon entropy of $P$. $K_...
[ { "created": "Sat, 18 Sep 2021 12:29:59 GMT", "version": "v1" } ]
2021-09-21
[ [ "Yan", "Wei", "" ], [ "Lin", "Sian-Jheng", "" ] ]
In entropy coding, universal coding of integers~(UCI) is a binary universal prefix code, such that the ratio of the expected codeword length to $\max\{1, H(P)\}$ is less than or equal to a constant expansion factor $K_{\mathcal{C}}$ for any probability distribution $P$, where $H(P)$ is the Shannon entropy of $P$. $K_{\...
1507.05164
Andrew Mironov
Andrew M. Mironov
A theory of probabilistic automata, part 1
123 pages, in Russian
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the book we present main concepts of probabilistic automata theory.
[ { "created": "Sat, 18 Jul 2015 09:49:30 GMT", "version": "v1" } ]
2015-07-21
[ [ "Mironov", "Andrew M.", "" ] ]
In the book we present main concepts of probabilistic automata theory.
2403.01314
Srivatsan Ravi Mr
Michael Collins and Jyotirmoy V. Deshmukh and Dristi Dinesh and Mukund Raghothaman and Srivatsan Ravi and Yuan Xia
Superflows: A New Tool for Forensic Network Flow Analysis
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network security analysts gather data from diverse sources, from high-level summaries of network flow and traffic volumes to low-level details such as service logs from servers and the contents of individual packets. They validate and check this data against traffic patterns and historical indicators of compromise. B...
[ { "created": "Sat, 2 Mar 2024 21:22:36 GMT", "version": "v1" } ]
2024-03-05
[ [ "Collins", "Michael", "" ], [ "Deshmukh", "Jyotirmoy V.", "" ], [ "Dinesh", "Dristi", "" ], [ "Raghothaman", "Mukund", "" ], [ "Ravi", "Srivatsan", "" ], [ "Xia", "Yuan", "" ] ]
Network security analysts gather data from diverse sources, from high-level summaries of network flow and traffic volumes to low-level details such as service logs from servers and the contents of individual packets. They validate and check this data against traffic patterns and historical indicators of compromise. Bas...
2212.09750
Jiaao Chen
Jiaao Chen, Mohan Dodda, Diyi Yang
Human-in-the-loop Abstractive Dialogue Summarization
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Abstractive dialogue summarization has received increasing attention recently. Despite the fact that most of the current dialogue summarization systems are trained to maximize the likelihood of human-written summaries and have achieved significant results, there is still a huge gap in generating high-quality summarie...
[ { "created": "Mon, 19 Dec 2022 19:11:27 GMT", "version": "v1" } ]
2022-12-21
[ [ "Chen", "Jiaao", "" ], [ "Dodda", "Mohan", "" ], [ "Yang", "Diyi", "" ] ]
Abstractive dialogue summarization has received increasing attention recently. Despite the fact that most of the current dialogue summarization systems are trained to maximize the likelihood of human-written summaries and have achieved significant results, there is still a huge gap in generating high-quality summaries ...
2001.10719
Lekshmi Beena Gopalakrishnan Nair
Lekshmi B.G., Andreas Becher, Klaus Meyer-Wegener
Query-Sequence Optimization on a Reconfigurable Hardware-Accelerated System
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hardware acceleration of database query processing can be done with the help of FPGAs. In particular, they are partially reconfigurable during runtime, which allows for the runtime adaption of the hardware to a variety of queries. Reconfiguration itself, however, takes some time. As the affected area of the FPGA is n...
[ { "created": "Wed, 29 Jan 2020 08:23:13 GMT", "version": "v1" } ]
2020-01-30
[ [ "G.", "Lekshmi B.", "" ], [ "Becher", "Andreas", "" ], [ "Meyer-Wegener", "Klaus", "" ] ]
Hardware acceleration of database query processing can be done with the help of FPGAs. In particular, they are partially reconfigurable during runtime, which allows for the runtime adaption of the hardware to a variety of queries. Reconfiguration itself, however, takes some time. As the affected area of the FPGA is not...
1912.00581
William Paul Boyce
W. Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rano, and KongFatt Wong-Lin
Optimality and limitations of audio-visual integration for cognitive systems
20 pages, 6 figures, 1 table 16/06/2020: Updated version includes expanded discussion and addition of new references. Also updated author affiliation information. This version has been accepted for publication with Frontiers
null
null
null
cs.AI cs.HC q-bio.NC
http://creativecommons.org/licenses/by/4.0/
Multimodal integration is an important process in perceptual decision-making. In humans, this process has often been shown to be statistically optimal, or near optimal: sensory information is combined in a fashion that minimises the average error in perceptual representation of stimuli. However, sometimes there are c...
[ { "created": "Mon, 2 Dec 2019 05:08:39 GMT", "version": "v1" }, { "created": "Sat, 11 Jan 2020 06:27:55 GMT", "version": "v2" }, { "created": "Tue, 16 Jun 2020 02:10:31 GMT", "version": "v3" } ]
2020-06-17
[ [ "Boyce", "W. Paul", "" ], [ "Lindsay", "Tony", "" ], [ "Zgonnikov", "Arkady", "" ], [ "Rano", "Ignacio", "" ], [ "Wong-Lin", "KongFatt", "" ] ]
Multimodal integration is an important process in perceptual decision-making. In humans, this process has often been shown to be statistically optimal, or near optimal: sensory information is combined in a fashion that minimises the average error in perceptual representation of stimuli. However, sometimes there are cos...
2302.04113
Andreas G\"obel
Tobias Friedrich, Andreas G\"obel, Maximilian Katzmann, Leon Schiller
Cliques in High-Dimensional Geometric Inhomogeneous Random Graphs
null
SIAM Journal on Discrete Mathematics, Vol. 38, Iss. 2 (2024)
10.1137/23M157394X
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
A recent trend in the context of graph theory is to bring theoretical analyses closer to empirical observations, by focusing the studies on random graph models that are used to represent practical instances. There, it was observed that geometric inhomogeneous random graphs (GIRGs) yield good representations of comple...
[ { "created": "Wed, 8 Feb 2023 15:11:31 GMT", "version": "v1" }, { "created": "Wed, 10 Jul 2024 16:50:18 GMT", "version": "v2" } ]
2024-07-11
[ [ "Friedrich", "Tobias", "" ], [ "Göbel", "Andreas", "" ], [ "Katzmann", "Maximilian", "" ], [ "Schiller", "Leon", "" ] ]
A recent trend in the context of graph theory is to bring theoretical analyses closer to empirical observations, by focusing the studies on random graph models that are used to represent practical instances. There, it was observed that geometric inhomogeneous random graphs (GIRGs) yield good representations of complex ...
2405.03652
Zhiyuan Li
Chenyu Gao, Shunxing Bao, Michael Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur Toga, Derek Archer, Timothy Hohman, Bennett Landman, Zhiyuan Li
Field-of-View Extension for Diffusion MRI via Deep Generative Models
20 pages, 11 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (FOV). This work aims to develop a method for imputing the missing slices directly from existing dMRI scans with an incomplete FOV. We hypot...
[ { "created": "Mon, 6 May 2024 17:23:42 GMT", "version": "v1" } ]
2024-05-07
[ [ "Gao", "Chenyu", "" ], [ "Bao", "Shunxing", "" ], [ "Kim", "Michael", "" ], [ "Newlin", "Nancy", "" ], [ "Kanakaraj", "Praitayini", "" ], [ "Yao", "Tianyuan", "" ], [ "Rudravaram", "Gaurav", "" ], [ ...
Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (FOV). This work aims to develop a method for imputing the missing slices directly from existing dMRI scans with an incomplete FOV. We hypothe...
2207.11730
Praveen Kumar
Praveen Kumar, Sudhan Majhi, Subhabrata Paul
A Direct Construction of Cross Z-Complementary Sets with Flexible Lengths and Large Zero Correlation Zone
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This letter proposes a direct construction for cross Z-complementary sets (CZCSs) with flexible lengths and a large zero correlation zone (ZCZ). CZCS is an extension of the cross Z-complementary pair (CZCP). The maximum possible ZCZ width of a CZCP is half of its sequence length. In this letter, for the first time, a...
[ { "created": "Sun, 24 Jul 2022 12:22:11 GMT", "version": "v1" } ]
2022-07-26
[ [ "Kumar", "Praveen", "" ], [ "Majhi", "Sudhan", "" ], [ "Paul", "Subhabrata", "" ] ]
This letter proposes a direct construction for cross Z-complementary sets (CZCSs) with flexible lengths and a large zero correlation zone (ZCZ). CZCS is an extension of the cross Z-complementary pair (CZCP). The maximum possible ZCZ width of a CZCP is half of its sequence length. In this letter, for the first time, a g...
2401.00974
Chi-Hua Wang
Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
The following article has been accepted by ICAIF22, Synthetic Data for AI in Finance; see https://sites.google.com/view/icaif-synthetic-2022/program
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Devising procedures for downstream task-oriented generative model selections is an unresolved problem of practical importance. Existing studies focused on the utility of a single family of generative models. They provided limited insights on how synthetic data practitioners select the best family generative models fo...
[ { "created": "Mon, 1 Jan 2024 23:33:56 GMT", "version": "v1" } ]
2024-01-03
[ [ "Cheng", "Yinan", "" ], [ "Wang", "Chi-Hua", "" ], [ "Potluru", "Vamsi K.", "" ], [ "Balch", "Tucker", "" ], [ "Cheng", "Guang", "" ] ]
Devising procedures for downstream task-oriented generative model selections is an unresolved problem of practical importance. Existing studies focused on the utility of a single family of generative models. They provided limited insights on how synthetic data practitioners select the best family generative models for ...
2205.08664
Taro L. Saito
Taro L. Saito, Naoki Takezoe, Yukihiro Okada, Takako Shimamoto, Dongmin Yu, Suprith Chandrashekharachar, Kai Sasaki, Shohei Okumiya, Yan Wang, Takashi Kurihara, Ryu Kobayashi, Keisuke Suzuki, Zhenghong Yang, Makoto Onizuka
Journey of Migrating Millions of Queries on The Cloud
This version is published in DBTest '22: Proceedings of the 2022 workshop on 9th International Workshop of Testing Database Systems
null
10.1145/3531348.3532177
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Treasure Data is processing millions of distributed SQL queries every day on the cloud. Upgrading the query engine service at this scale is challenging because we need to migrate all of the production queries of the customers to a new version while preserving the correctness and performance of the data processing pip...
[ { "created": "Tue, 17 May 2022 23:48:26 GMT", "version": "v1" } ]
2022-05-19
[ [ "Saito", "Taro L.", "" ], [ "Takezoe", "Naoki", "" ], [ "Okada", "Yukihiro", "" ], [ "Shimamoto", "Takako", "" ], [ "Yu", "Dongmin", "" ], [ "Chandrashekharachar", "Suprith", "" ], [ "Sasaki", "Kai", "" ]...
Treasure Data is processing millions of distributed SQL queries every day on the cloud. Upgrading the query engine service at this scale is challenging because we need to migrate all of the production queries of the customers to a new version while preserving the correctness and performance of the data processing pipel...
2305.17523
Jaydip Sen Prof
Jaydip Sen, Aditya Jaiswal, Anshuman Pathak, Atish Kumar Majee, Kushagra Kumar, Manas Kumar Sarkar, and Soubhik Maji
A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market
The report is 52 pages long. It is based on the capstone project done in the post graduate course of data science in Praxis Business School, Kolkata, India, of the Autumn Batch, 2022
null
null
null
cs.LG q-fin.PM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a comparative analysis of the performances of three portfolio optimization approaches. Three approaches of portfolio optimization that are considered in this work are the mean-variance portfolio (MVP), hierarchical risk parity (HRP) portfolio, and reinforcement learning-based portfolio. The portfo...
[ { "created": "Sat, 27 May 2023 16:38:18 GMT", "version": "v1" } ]
2023-05-30
[ [ "Sen", "Jaydip", "" ], [ "Jaiswal", "Aditya", "" ], [ "Pathak", "Anshuman", "" ], [ "Majee", "Atish Kumar", "" ], [ "Kumar", "Kushagra", "" ], [ "Sarkar", "Manas Kumar", "" ], [ "Maji", "Soubhik", "" ] ]
This paper presents a comparative analysis of the performances of three portfolio optimization approaches. Three approaches of portfolio optimization that are considered in this work are the mean-variance portfolio (MVP), hierarchical risk parity (HRP) portfolio, and reinforcement learning-based portfolio. The portfoli...
2012.05228
Xuanchi Ren
Xuanchi Ren, Zian Qian, Qifeng Chen
Video Deblurring by Fitting to Test Data
Project Page: https://github.com/xrenaa/Deblur-by-Fitting
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motion blur in videos captured by autonomous vehicles and robots can degrade their perception capability. In this work, we present a novel approach to video deblurring by fitting a deep network to the test video. Our key observation is that some frames in a video with motion blur are much sharper than others, and thu...
[ { "created": "Wed, 9 Dec 2020 18:49:24 GMT", "version": "v1" }, { "created": "Sat, 6 Mar 2021 07:22:22 GMT", "version": "v2" } ]
2021-03-09
[ [ "Ren", "Xuanchi", "" ], [ "Qian", "Zian", "" ], [ "Chen", "Qifeng", "" ] ]
Motion blur in videos captured by autonomous vehicles and robots can degrade their perception capability. In this work, we present a novel approach to video deblurring by fitting a deep network to the test video. Our key observation is that some frames in a video with motion blur are much sharper than others, and thus ...
1705.02737
Lovedeep Gondara
Lovedeep Gondara, Ke Wang
MIDA: Multiple Imputation using Denoising Autoencoders
To appear in the proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Missing data is a significant problem impacting all domains. State-of-the-art framework for minimizing missing data bias is multiple imputation, for which the choice of an imputation model remains nontrivial. We propose a multiple imputation model based on overcomplete deep denoising autoencoders. Our proposed model ...
[ { "created": "Mon, 8 May 2017 04:00:25 GMT", "version": "v1" }, { "created": "Fri, 19 May 2017 21:15:44 GMT", "version": "v2" }, { "created": "Sat, 17 Feb 2018 16:05:32 GMT", "version": "v3" } ]
2018-02-20
[ [ "Gondara", "Lovedeep", "" ], [ "Wang", "Ke", "" ] ]
Missing data is a significant problem impacting all domains. State-of-the-art framework for minimizing missing data bias is multiple imputation, for which the choice of an imputation model remains nontrivial. We propose a multiple imputation model based on overcomplete deep denoising autoencoders. Our proposed model is...
2311.04145
Shiwei Zhang
Shiwei Zhang, Jiayu Wang, Yingya Zhang, Kang Zhao, Hangjie Yuan, Zhiwu Qin, Xiang Wang, Deli Zhao, Jingren Zhou
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Project page: https://i2vgen-xl.github.io
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video synthesis has recently made remarkable strides benefiting from the rapid development of diffusion models. However, it still encounters challenges in terms of semantic accuracy, clarity and spatio-temporal continuity. They primarily arise from the scarcity of well-aligned text-video data and the complex inherent...
[ { "created": "Tue, 7 Nov 2023 17:16:06 GMT", "version": "v1" } ]
2023-11-08
[ [ "Zhang", "Shiwei", "" ], [ "Wang", "Jiayu", "" ], [ "Zhang", "Yingya", "" ], [ "Zhao", "Kang", "" ], [ "Yuan", "Hangjie", "" ], [ "Qin", "Zhiwu", "" ], [ "Wang", "Xiang", "" ], [ "Zhao", "Deli",...
Video synthesis has recently made remarkable strides benefiting from the rapid development of diffusion models. However, it still encounters challenges in terms of semantic accuracy, clarity and spatio-temporal continuity. They primarily arise from the scarcity of well-aligned text-video data and the complex inherent s...
1808.02696
Sascha Kurz
Sascha Kurz and Stefan Napel
The roll call interpretation of the Shapley value
9 pages
null
10.1016/j.econlet.2018.09.025
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Shapley value is commonly illustrated by roll call votes in which players support or reject a proposal in sequence. If all sequences are equiprobable, a voter's Shapley value can be interpreted as the probability of being pivotal, i.e., to bring about the required majority or to make this impossible for others. W...
[ { "created": "Wed, 8 Aug 2018 09:53:15 GMT", "version": "v1" }, { "created": "Fri, 28 Sep 2018 08:52:17 GMT", "version": "v2" } ]
2018-10-04
[ [ "Kurz", "Sascha", "" ], [ "Napel", "Stefan", "" ] ]
The Shapley value is commonly illustrated by roll call votes in which players support or reject a proposal in sequence. If all sequences are equiprobable, a voter's Shapley value can be interpreted as the probability of being pivotal, i.e., to bring about the required majority or to make this impossible for others. We ...
2009.10976
Dingqing Yang
Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
Appears in the Proceedings of the 53$^\mathit{rd}$ IEEE/ACM International Symposium on Microarchitecture (MICRO 2020)
null
null
null
cs.NE cs.AR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success of DNN pruning has led to the development of energy-efficient inference accelerators that support pruned models with sparse weight and activation tensors. Because the memory layouts and dataflows in these architectures are optimized for the access patterns during $\mathit{inference}$, however, they do not...
[ { "created": "Wed, 23 Sep 2020 07:39:55 GMT", "version": "v1" } ]
2020-09-24
[ [ "Yang", "Dingqing", "" ], [ "Ghasemazar", "Amin", "" ], [ "Ren", "Xiaowei", "" ], [ "Golub", "Maximilian", "" ], [ "Lemieux", "Guy", "" ], [ "Lis", "Mieszko", "" ] ]
The success of DNN pruning has led to the development of energy-efficient inference accelerators that support pruned models with sparse weight and activation tensors. Because the memory layouts and dataflows in these architectures are optimized for the access patterns during $\mathit{inference}$, however, they do not e...
2208.12539
Tianyi Li
Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, Jeff Z. Pan
Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models
To appear in ISWC 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
We present a system for knowledge graph population with Language Models, evaluated on the Knowledge Base Construction from Pre-trained Language Models (LM-KBC) challenge at ISWC 2022. Our system involves task-specific pre-training to improve LM representation of the masked object tokens, prompt decomposition for prog...
[ { "created": "Fri, 26 Aug 2022 09:56:27 GMT", "version": "v1" }, { "created": "Wed, 31 Aug 2022 10:51:58 GMT", "version": "v2" } ]
2022-09-01
[ [ "Li", "Tianyi", "" ], [ "Huang", "Wenyu", "" ], [ "Papasarantopoulos", "Nikos", "" ], [ "Vougiouklis", "Pavlos", "" ], [ "Pan", "Jeff Z.", "" ] ]
We present a system for knowledge graph population with Language Models, evaluated on the Knowledge Base Construction from Pre-trained Language Models (LM-KBC) challenge at ISWC 2022. Our system involves task-specific pre-training to improve LM representation of the masked object tokens, prompt decomposition for progre...
1901.11139
Matthew Kirchner
Matthew R. Kirchner
A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays
Updated formatting to comply with publications guidelines. Corrected some minor typos. To appear in the proceedings of the 10th IFAC Symposium on Intelligent Autonomous Vehicles
IFAC PapersOnLine, volume 52, issue 8, pp. 301-306, 2019
10.1016/j.ifacol.2019.08.087
null
cs.SY eess.SP math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Presented is a method to compute certain classes of Hamilton-Jacobi equations that result from optimal control and trajectory generation problems with time delays. Many robotic control and trajectory problems have limited information of the operating environment a priori and must continually perform online trajectory...
[ { "created": "Wed, 30 Jan 2019 23:10:51 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2019 17:52:43 GMT", "version": "v2" } ]
2019-10-22
[ [ "Kirchner", "Matthew R.", "" ] ]
Presented is a method to compute certain classes of Hamilton-Jacobi equations that result from optimal control and trajectory generation problems with time delays. Many robotic control and trajectory problems have limited information of the operating environment a priori and must continually perform online trajectory o...
2210.12339
Junwei Bao Doctor
Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He
P$^3$LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training
Accepted to EMNLP(Findings) 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Conventional autoregressive left-to-right (L2R) sequence generation faces two issues during decoding: limited to unidirectional target sequence modeling, and constrained on strong local dependencies. To address the aforementioned problem, we propose P$^3$LM, a probabilistically permuted prophet language model, which ...
[ { "created": "Sat, 22 Oct 2022 03:50:59 GMT", "version": "v1" } ]
2022-10-25
[ [ "Bao", "Junwei", "" ], [ "Wang", "Yifan", "" ], [ "Ying", "Jiangyong", "" ], [ "Gong", "Yeyun", "" ], [ "Zhao", "Jing", "" ], [ "Wu", "Youzheng", "" ], [ "He", "Xiaodong", "" ] ]
Conventional autoregressive left-to-right (L2R) sequence generation faces two issues during decoding: limited to unidirectional target sequence modeling, and constrained on strong local dependencies. To address the aforementioned problem, we propose P$^3$LM, a probabilistically permuted prophet language model, which st...
1810.12020
Zhuoran Lyu
Zhe Yuan, Zhuoran Lyu, Jiwei Li and Xi Zhou
An improved hybrid CTC-Attention model for speech recognition
Submitted to the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, end-to-end speech recognition with a hybrid model consisting of the connectionist temporal classification(CTC) and the attention encoder-decoder achieved state-of-the-art results. In this paper, we propose a novel CTC decoder structure based on the experiments we conducted and explore the relation between d...
[ { "created": "Mon, 29 Oct 2018 09:28:33 GMT", "version": "v1" }, { "created": "Tue, 30 Oct 2018 02:19:59 GMT", "version": "v2" }, { "created": "Thu, 1 Nov 2018 07:05:44 GMT", "version": "v3" } ]
2018-11-02
[ [ "Yuan", "Zhe", "" ], [ "Lyu", "Zhuoran", "" ], [ "Li", "Jiwei", "" ], [ "Zhou", "Xi", "" ] ]
Recently, end-to-end speech recognition with a hybrid model consisting of the connectionist temporal classification(CTC) and the attention encoder-decoder achieved state-of-the-art results. In this paper, we propose a novel CTC decoder structure based on the experiments we conducted and explore the relation between dec...
2010.12433
Gaurish Thakkar Mr
Diego Alves, Gaurish Thakkar, Marko Tadi\'c
Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents the strategy for developing a platform containing Language Processing Chains for European Union languages, consisting of Tokenization to Parsing, also including Named Entity recognition andwith addition ofSentiment Analysis. These chains are part of the first step of an event-centric knowledge p...
[ { "created": "Fri, 23 Oct 2020 14:26:30 GMT", "version": "v1" } ]
2020-10-26
[ [ "Alves", "Diego", "" ], [ "Thakkar", "Gaurish", "" ], [ "Tadić", "Marko", "" ] ]
This article presents the strategy for developing a platform containing Language Processing Chains for European Union languages, consisting of Tokenization to Parsing, also including Named Entity recognition andwith addition ofSentiment Analysis. These chains are part of the first step of an event-centric knowledge pro...
2311.09984
Zenin Easa Panthakkalakath
Zenin Easa Panthakkalakath, Neeraj, Jimson Mathew
A Framework for Modeling, Analyzing, and Decision-Making in Disease Spread Dynamics and Medicine/Vaccine Distribution
null
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The challenges posed by epidemics and pandemics are immense, especially if the causes are novel. This article introduces a versatile open-source simulation framework designed to model intricate dynamics of infectious diseases across diverse population centres. Taking inspiration from historical precedents such as the...
[ { "created": "Thu, 16 Nov 2023 16:03:37 GMT", "version": "v1" } ]
2023-11-17
[ [ "Panthakkalakath", "Zenin Easa", "" ], [ "Neeraj", "", "" ], [ "Mathew", "Jimson", "" ] ]
The challenges posed by epidemics and pandemics are immense, especially if the causes are novel. This article introduces a versatile open-source simulation framework designed to model intricate dynamics of infectious diseases across diverse population centres. Taking inspiration from historical precedents such as the S...
2311.14871
Linzi Xing
Linzi Xing, Brad Hackinen, Giuseppe Carenini
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses
Accepted to the Natural Legal Language Processing Workshop 2023 (NLLP 2023)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
U.S. Federal Regulators receive over one million comment letters each year from businesses, interest groups, and members of the public, all advocating for changes to proposed regulations. These comments are believed to have wide-ranging impacts on public policy. However, measuring the impact of specific comments is c...
[ { "created": "Fri, 24 Nov 2023 23:32:13 GMT", "version": "v1" } ]
2023-11-28
[ [ "Xing", "Linzi", "" ], [ "Hackinen", "Brad", "" ], [ "Carenini", "Giuseppe", "" ] ]
U.S. Federal Regulators receive over one million comment letters each year from businesses, interest groups, and members of the public, all advocating for changes to proposed regulations. These comments are believed to have wide-ranging impacts on public policy. However, measuring the impact of specific comments is cha...
2108.05798
Harald Koestler Prof. Dr.
Sam Jacob Jacob, Markus Mrosek, Carsten Othmer, Harald K\"ostler
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
null
null
10.4271/15-15-02-0006
null
cs.CE
http://creativecommons.org/licenses/by/4.0/
The aerodynamic optimization process of cars requires multiple iterations between aerodynamicists and stylists. Response Surface Modeling and Reduced-Order Modeling are commonly used to eliminate the overhead due to Computational Fluid Dynamics, leading to faster iterations. However, a primary drawback of these model...
[ { "created": "Thu, 12 Aug 2021 15:26:24 GMT", "version": "v1" } ]
2022-05-26
[ [ "Jacob", "Sam Jacob", "" ], [ "Mrosek", "Markus", "" ], [ "Othmer", "Carsten", "" ], [ "Köstler", "Harald", "" ] ]
The aerodynamic optimization process of cars requires multiple iterations between aerodynamicists and stylists. Response Surface Modeling and Reduced-Order Modeling are commonly used to eliminate the overhead due to Computational Fluid Dynamics, leading to faster iterations. However, a primary drawback of these models ...
2009.11898
Anna Glazkova
Anna Glazkova, Yury Egorov, Maksim Glazkov
A Comparative Study of Feature Types for Age-Based Text Classification
Accepted to AIST-2020 (The 9th International Conference on Analysis of Images, Social Networks and Texts)
Analysis of Images, Social Networks and Texts. AIST 2020. Lecture Notes in Computer Science, vol 12602, pp. 120-134. Springer, Cham
10.1007/978-3-030-72610-2_9
null
cs.CL cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recommendation systems and electronic libraries may be interested in filtering texts by the age of the most likely readers. Further, parents ma...
[ { "created": "Thu, 24 Sep 2020 18:41:10 GMT", "version": "v1" } ]
2021-08-30
[ [ "Glazkova", "Anna", "" ], [ "Egorov", "Yury", "" ], [ "Glazkov", "Maksim", "" ] ]
The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recommendation systems and electronic libraries may be interested in filtering texts by the age of the most likely readers. Further, parents may ...
2206.03826
Jiachun Pan
Jiachun Pan, Pan Zhou, Shuicheng Yan
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
null
null
null
null
cs.LG cs.CV cs.NE stat.ML
http://creativecommons.org/licenses/by/4.0/
For unsupervised pretraining, mask-reconstruction pretraining (MRP) approaches, e.g. MAE and data2vec, randomly mask input patches and then reconstruct the pixels or semantic features of these masked patches via an auto-encoder. Then for a downstream task, supervised fine-tuning the pretrained encoder remarkably surp...
[ { "created": "Wed, 8 Jun 2022 11:49:26 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2022 01:46:19 GMT", "version": "v2" }, { "created": "Fri, 10 Jun 2022 00:37:44 GMT", "version": "v3" }, { "created": "Tue, 14 Jun 2022 14:06:48 GMT", "version": "v4" }, { "cre...
2023-02-14
[ [ "Pan", "Jiachun", "" ], [ "Zhou", "Pan", "" ], [ "Yan", "Shuicheng", "" ] ]
For unsupervised pretraining, mask-reconstruction pretraining (MRP) approaches, e.g. MAE and data2vec, randomly mask input patches and then reconstruct the pixels or semantic features of these masked patches via an auto-encoder. Then for a downstream task, supervised fine-tuning the pretrained encoder remarkably surpas...
2404.03819
Yirui Wang
Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Technical report
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding scatteredly distributed, low-contrast clinically relevant LNs in 3D CT is diffi...
[ { "created": "Thu, 4 Apr 2024 22:31:15 GMT", "version": "v1" } ]
2024-04-08
[ [ "Yu", "Qinji", "" ], [ "Wang", "Yirui", "" ], [ "Yan", "Ke", "" ], [ "Li", "Haoshen", "" ], [ "Guo", "Dazhou", "" ], [ "Zhang", "Li", "" ], [ "Lu", "Le", "" ], [ "Shen", "Na", "" ], [ ...
Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding scatteredly distributed, low-contrast clinically relevant LNs in 3D CT is difficu...
2403.00520
Nolwenn Bernard
Nolwenn Bernard and Ivica Kostric and Krisztian Balog
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling
Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM '24), March 4--8, 2024, Merida, Mexico
null
10.1145/3616855.3635699
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently lacking. This paper introduces an enhanced version of the IAI MovieBot conversational movie recommender system, aiming to evolve it into a r...
[ { "created": "Fri, 1 Mar 2024 13:30:34 GMT", "version": "v1" } ]
2024-03-04
[ [ "Bernard", "Nolwenn", "" ], [ "Kostric", "Ivica", "" ], [ "Balog", "Krisztian", "" ] ]
While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently lacking. This paper introduces an enhanced version of the IAI MovieBot conversational movie recommender system, aiming to evolve it into a rob...
1902.02439
Paola Quaglia
Paola Quaglia
Walking on SR-automata to detect grammar ambiguity
null
null
null
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
We exploit the nondeterminism of LR parsing tables to reason about grammar ambiguity after a conflict-driven strategy. First, from parsing tables we define specialized structures, called SR-automata. Next, we search for ambiguous words along the paths of SR-automata that reach a conflict state and then diverge along ...
[ { "created": "Thu, 7 Feb 2019 00:22:10 GMT", "version": "v1" } ]
2019-02-08
[ [ "Quaglia", "Paola", "" ] ]
We exploit the nondeterminism of LR parsing tables to reason about grammar ambiguity after a conflict-driven strategy. First, from parsing tables we define specialized structures, called SR-automata. Next, we search for ambiguous words along the paths of SR-automata that reach a conflict state and then diverge along th...
1702.08396
Shengjia Zhao
Shengjia Zhao, Jiaming Song, Stefano Ermon
Learning Hierarchical Features from Generative Models
ICML'2017
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have been shown to be very successful at learning feature hierarchies in supervised learning tasks. Generative models, on the other hand, have benefited less from hierarchical models with multiple layers of latent variables. In this paper, we prove that hierarchical latent variable models do not ...
[ { "created": "Mon, 27 Feb 2017 17:43:34 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2017 17:19:15 GMT", "version": "v2" } ]
2017-06-12
[ [ "Zhao", "Shengjia", "" ], [ "Song", "Jiaming", "" ], [ "Ermon", "Stefano", "" ] ]
Deep neural networks have been shown to be very successful at learning feature hierarchies in supervised learning tasks. Generative models, on the other hand, have benefited less from hierarchical models with multiple layers of latent variables. In this paper, we prove that hierarchical latent variable models do not ta...
1912.12394
Da Ju
Da Ju, Kurt Shuster, Y-Lan Boureau, Jason Weston
All-in-One Image-Grounded Conversational Agents
null
null
null
null
cs.CL cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As single-task accuracy on individual language and image tasks has improved substantially in the last few years, the long-term goal of a generally skilled agent that can both see and talk becomes more feasible to explore. In this work, we focus on leveraging individual language and image tasks, along with resources t...
[ { "created": "Sat, 28 Dec 2019 03:51:52 GMT", "version": "v1" }, { "created": "Wed, 15 Jan 2020 23:10:55 GMT", "version": "v2" } ]
2020-01-17
[ [ "Ju", "Da", "" ], [ "Shuster", "Kurt", "" ], [ "Boureau", "Y-Lan", "" ], [ "Weston", "Jason", "" ] ]
As single-task accuracy on individual language and image tasks has improved substantially in the last few years, the long-term goal of a generally skilled agent that can both see and talk becomes more feasible to explore. In this work, we focus on leveraging individual language and image tasks, along with resources tha...
2402.00575
Ruisheng Gao
Ruisheng Gao, Yutong Liu, Zeyu Xiao, Zhiwei Xiong
Diffusion-based Light Field Synthesis
11 pages,9 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Light fields (LFs), conducive to comprehensive scene radiance recorded across angular dimensions, find wide applications in 3D reconstruction, virtual reality, and computational photography.However, the LF acquisition is inevitably time-consuming and resource-intensive due to the mainstream acquisition strategy invol...
[ { "created": "Thu, 1 Feb 2024 13:13:16 GMT", "version": "v1" } ]
2024-02-02
[ [ "Gao", "Ruisheng", "" ], [ "Liu", "Yutong", "" ], [ "Xiao", "Zeyu", "" ], [ "Xiong", "Zhiwei", "" ] ]
Light fields (LFs), conducive to comprehensive scene radiance recorded across angular dimensions, find wide applications in 3D reconstruction, virtual reality, and computational photography.However, the LF acquisition is inevitably time-consuming and resource-intensive due to the mainstream acquisition strategy involvi...
2106.13469
Mathieu Andro
Mathieu Andro (DSAF, SPM), Marc Maisonneuve
Digital libraries: textual analysis for a systematic review and meta-analysis
null
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: We seek to explore the realm of literature about digital libraries. We specifically seek to ascertain how interest in this subject has evolved, its impact, the most productive journals and countries, the number of occurrences of digital libraries, the relationships and dynamics of the main concepts mentioned...
[ { "created": "Fri, 25 Jun 2021 07:33:09 GMT", "version": "v1" } ]
2021-06-28
[ [ "Andro", "Mathieu", "", "DSAF, SPM" ], [ "Maisonneuve", "Marc", "" ] ]
Purpose: We seek to explore the realm of literature about digital libraries. We specifically seek to ascertain how interest in this subject has evolved, its impact, the most productive journals and countries, the number of occurrences of digital libraries, the relationships and dynamics of the main concepts mentioned, ...
2312.01509
Vithya Yogarajan
Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan, Rostam J. Neuwirth
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies
38 pages, 5 figures, 11 tables. arXiv admin note: text overlap with arXiv:2309.00770 by other authors
null
null
null
cs.CY cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
The benefits and capabilities of pre-trained language models (LLMs) in current and future innovations are vital to any society. However, introducing and using LLMs comes with biases and discrimination, resulting in concerns about equality, diversity and fairness, and must be addressed. While understanding and acknowl...
[ { "created": "Sun, 3 Dec 2023 21:25:10 GMT", "version": "v1" } ]
2023-12-05
[ [ "Yogarajan", "Vithya", "" ], [ "Dobbie", "Gillian", "" ], [ "Keegan", "Te Taka", "" ], [ "Neuwirth", "Rostam J.", "" ] ]
The benefits and capabilities of pre-trained language models (LLMs) in current and future innovations are vital to any society. However, introducing and using LLMs comes with biases and discrimination, resulting in concerns about equality, diversity and fairness, and must be addressed. While understanding and acknowled...
1701.08530
Anshu Shukla
Anshu Shukla, Shilpa Chaturvedi and Yogesh Simmhan
RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms
33 pages. arXiv admin note: substantial text overlap with arXiv:1606.07621
Concurrency and Computation: Practice and Experience, Volume 29, Issue 21, 10 November 2017
10.1002/cpe.4257
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) is an emerging technology paradigm where millions of sensors and actuators help monitor and manage, physical, environmental and human systems in real-time. The inherent closedloop responsiveness and decision making of IoT applications make them ideal candidates for using low latency and s...
[ { "created": "Mon, 30 Jan 2017 10:13:29 GMT", "version": "v1" } ]
2019-05-10
[ [ "Shukla", "Anshu", "" ], [ "Chaturvedi", "Shilpa", "" ], [ "Simmhan", "Yogesh", "" ] ]
The Internet of Things (IoT) is an emerging technology paradigm where millions of sensors and actuators help monitor and manage, physical, environmental and human systems in real-time. The inherent closedloop responsiveness and decision making of IoT applications make them ideal candidates for using low latency and sca...
1904.12966
Nicholas Turner
Kisuk Lee, Nicholas Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and efforts at automation date back almost as far. Convolutional nets were first applied to neuronal boundary detection a dozen years ago, and ha...
[ { "created": "Mon, 29 Apr 2019 21:54:58 GMT", "version": "v1" } ]
2019-05-01
[ [ "Lee", "Kisuk", "" ], [ "Turner", "Nicholas", "" ], [ "Macrina", "Thomas", "" ], [ "Wu", "Jingpeng", "" ], [ "Lu", "Ran", "" ], [ "Seung", "H. Sebastian", "" ] ]
Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and efforts at automation date back almost as far. Convolutional nets were first applied to neuronal boundary detection a dozen years ago, and have...
2104.02886
Arian Nadjimzadah
Arian Nadjimzadah, David E. Narv\'aez
On Salum's Algorithm for $\mathrm{X3SAT}$
7 pages
null
null
null
cs.CC
http://creativecommons.org/licenses/by/4.0/
This is a commentary on, and critique of, Latif Salum's paper titled "Tractability of One-in-three $\mathrm{3SAT}$: $\mathrm{P} = \mathrm{NP}$." Salum purports to give a polynomial-time algorithm that solves the $\mathrm{NP}$-complete problem $\mathrm{X3SAT}$, thereby claiming $\mathrm{P} = \mathrm{NP}$. The algorith...
[ { "created": "Wed, 7 Apr 2021 03:23:38 GMT", "version": "v1" } ]
2021-04-08
[ [ "Nadjimzadah", "Arian", "" ], [ "Narváez", "David E.", "" ] ]
This is a commentary on, and critique of, Latif Salum's paper titled "Tractability of One-in-three $\mathrm{3SAT}$: $\mathrm{P} = \mathrm{NP}$." Salum purports to give a polynomial-time algorithm that solves the $\mathrm{NP}$-complete problem $\mathrm{X3SAT}$, thereby claiming $\mathrm{P} = \mathrm{NP}$. The algorithm,...
2310.14751
Subhojyoti Mukherjee
Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton
Efficient and Interpretable Bandit Algorithms
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Motivated by the importance of explainability in modern machine learning, we design bandit algorithms that are efficient and interpretable. A bandit algorithm is interpretable if it explores with the objective of reducing uncertainty in the unknown model parameter. To quantify the interpretability, we introduce a nov...
[ { "created": "Mon, 23 Oct 2023 09:36:13 GMT", "version": "v1" }, { "created": "Thu, 8 Feb 2024 22:37:36 GMT", "version": "v2" } ]
2024-02-12
[ [ "Mukherjee", "Subhojyoti", "" ], [ "Zhu", "Ruihao", "" ], [ "Kveton", "Branislav", "" ] ]
Motivated by the importance of explainability in modern machine learning, we design bandit algorithms that are efficient and interpretable. A bandit algorithm is interpretable if it explores with the objective of reducing uncertainty in the unknown model parameter. To quantify the interpretability, we introduce a novel...
2012.15462
Dan Lin
Dan Lin, Jiajing Wu, Qi Yuan, Zibin Zheng
Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
5 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1905.08038
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 11, pp. 2737 - 2741, November 2020
10.1109/TCSII.2020.2968376
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively unexplored till now. Modeling the transaction records as a static simple graph...
[ { "created": "Thu, 31 Dec 2020 06:04:17 GMT", "version": "v1" } ]
2021-01-01
[ [ "Lin", "Dan", "" ], [ "Wu", "Jiajing", "" ], [ "Yuan", "Qi", "" ], [ "Zheng", "Zibin", "" ] ]
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively unexplored till now. Modeling the transaction records as a static simple graph, ...
1712.02864
Hossein Talebi
Hossein Talebi, Peyman Milanfar
Learned Perceptual Image Enhancement
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning a typical image enhancement pipeline involves minimization of a loss function between enhanced and reference images. While L1 and L2 losses are perhaps the most widely used functions for this purpose, they do not necessarily lead to perceptually compelling results. In this paper, we show that adding a learne...
[ { "created": "Thu, 7 Dec 2017 21:23:12 GMT", "version": "v1" } ]
2017-12-11
[ [ "Talebi", "Hossein", "" ], [ "Milanfar", "Peyman", "" ] ]
Learning a typical image enhancement pipeline involves minimization of a loss function between enhanced and reference images. While L1 and L2 losses are perhaps the most widely used functions for this purpose, they do not necessarily lead to perceptually compelling results. In this paper, we show that adding a learned ...
2009.00771
Xuerui Zhang
Zhang Xuerui, Yuan Xia
LSMVOS: Long-Short-Term Similarity Matching for Video Object
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objective Semi-supervised video object segmentation refers to segmenting the object in subsequent frames given the object label in the first frame. Existing algorithms are mostly based on the objectives of matching and propagation strategies, which often make use of the previous frame with masking or optical flow. Th...
[ { "created": "Wed, 2 Sep 2020 01:32:05 GMT", "version": "v1" } ]
2020-09-03
[ [ "Xuerui", "Zhang", "" ], [ "Xia", "Yuan", "" ] ]
Objective Semi-supervised video object segmentation refers to segmenting the object in subsequent frames given the object label in the first frame. Existing algorithms are mostly based on the objectives of matching and propagation strategies, which often make use of the previous frame with masking or optical flow. This...
2110.11417
Souvik Kundu
Souvik Kundu, Massoud Pedram, Peter A. Beerel
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
10 pages, 11 figures, 7 tables, International Conference on Computer Vision
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Low-latency deep spiking neural networks (SNNs) have become a promising alternative to conventional artificial neural networks (ANNs) because of their potential for increased energy efficiency on event-driven neuromorphic hardware. Neural networks, including SNNs, however, are subject to various adversarial attacks a...
[ { "created": "Wed, 6 Oct 2021 16:48:48 GMT", "version": "v1" } ]
2021-10-25
[ [ "Kundu", "Souvik", "" ], [ "Pedram", "Massoud", "" ], [ "Beerel", "Peter A.", "" ] ]
Low-latency deep spiking neural networks (SNNs) have become a promising alternative to conventional artificial neural networks (ANNs) because of their potential for increased energy efficiency on event-driven neuromorphic hardware. Neural networks, including SNNs, however, are subject to various adversarial attacks and...
1507.08417
Gabriele D'Angelo
Gabriele D'Angelo, Stefano Ferretti
Highly intensive data dissemination in complex networks
null
Journal of Parallel and Distributed Computing, Elsevier, vol. 99 (January 2017). ISSN: 0743-7315
10.1016/j.jpdc.2016.08.004
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a study on data dissemination in unstructured Peer-to-Peer (P2P) network overlays. The absence of a structure in unstructured overlays eases the network management, at the cost of non-optimal mechanisms to spread messages in the network. Thus, dissemination schemes must be employed that allow cove...
[ { "created": "Thu, 30 Jul 2015 08:40:44 GMT", "version": "v1" }, { "created": "Mon, 29 Aug 2016 14:30:04 GMT", "version": "v2" }, { "created": "Mon, 26 Sep 2016 09:51:58 GMT", "version": "v3" } ]
2016-09-27
[ [ "D'Angelo", "Gabriele", "" ], [ "Ferretti", "Stefano", "" ] ]
This paper presents a study on data dissemination in unstructured Peer-to-Peer (P2P) network overlays. The absence of a structure in unstructured overlays eases the network management, at the cost of non-optimal mechanisms to spread messages in the network. Thus, dissemination schemes must be employed that allow coveri...
2112.13399
Mason DiCicco
Mason DiCicco, Daniel Reichman
The Learning and Communication Complexity of Subsequence Containment
Updated to add learning results
null
null
null
cs.DM cs.DS
http://creativecommons.org/licenses/by/4.0/
We consider the learning and communication complexity of subsequence containment. In the learning problem, we seek to learn a classifier that positively labels a binary string $x$ if it contains a fixed binary string $y$ as a subsequence. In the communication problem, $x$ and $y$ are partitioned between two players, ...
[ { "created": "Sun, 26 Dec 2021 15:42:29 GMT", "version": "v1" }, { "created": "Tue, 28 Dec 2021 17:21:04 GMT", "version": "v2" }, { "created": "Mon, 3 Jan 2022 20:21:17 GMT", "version": "v3" }, { "created": "Tue, 11 Jan 2022 18:08:42 GMT", "version": "v4" }, { "cr...
2023-01-23
[ [ "DiCicco", "Mason", "" ], [ "Reichman", "Daniel", "" ] ]
We consider the learning and communication complexity of subsequence containment. In the learning problem, we seek to learn a classifier that positively labels a binary string $x$ if it contains a fixed binary string $y$ as a subsequence. In the communication problem, $x$ and $y$ are partitioned between two players, Al...
2407.16322
Taehyun Yang
Taehyun Yang, Hyeon Jeon, Jinwook Seo
Offsetting Perceptual Bias in Visual Clustering: The Role of Point Size Adjustment in Variable Display Sizes
work in progress
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Scatterplots are frequently shared across different displays in collaborative and communicative visual analytics. However, variations in displays diversify scatterplot sizes. Such variations can influence the perception of clustering patterns, introducing potential biases leading to misinterpretations in cluster anal...
[ { "created": "Tue, 23 Jul 2024 09:17:15 GMT", "version": "v1" } ]
2024-07-24
[ [ "Yang", "Taehyun", "" ], [ "Jeon", "Hyeon", "" ], [ "Seo", "Jinwook", "" ] ]
Scatterplots are frequently shared across different displays in collaborative and communicative visual analytics. However, variations in displays diversify scatterplot sizes. Such variations can influence the perception of clustering patterns, introducing potential biases leading to misinterpretations in cluster analys...
1903.04739
Hsu Myat Mo
Hsu Myat Mo and Khin Mar Soe
Syllable-based Neural Named Entity Recognition for Myanmar Language
Myanmar NER
International Journal on Natural Language Computing (IJNLC) Vol.8, No.1, February 2019
10.5121/ijnlc.2019.8101
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Named Entity Recognition (NER) for Myanmar Language is essential to Myanmar natural language processing research work. In this work, NER for Myanmar language is treated as a sequence tagging problem and the effectiveness of deep neural networks on NER for Myanmar language has been investigated. Experiments are perfor...
[ { "created": "Tue, 12 Mar 2019 05:52:41 GMT", "version": "v1" } ]
2019-03-13
[ [ "Mo", "Hsu Myat", "" ], [ "Soe", "Khin Mar", "" ] ]
Named Entity Recognition (NER) for Myanmar Language is essential to Myanmar natural language processing research work. In this work, NER for Myanmar language is treated as a sequence tagging problem and the effectiveness of deep neural networks on NER for Myanmar language has been investigated. Experiments are performe...
2311.15732
Wenhao Wu
Wenhao Wu, Huanjin Yao, Mengxi Zhang, Yuxin Song, Wanli Ouyang, Jingdong Wang
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
Technical report. Retest GPT-4V and update results
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper does not present a novel method. Instead, it delves into an essential, yet must-know baseline in light of the latest advancements in Generative Artificial Intelligence (GenAI): the utilization of GPT-4 for visual understanding. Our study centers on the evaluation of GPT-4's linguistic and visual capabiliti...
[ { "created": "Mon, 27 Nov 2023 11:29:10 GMT", "version": "v1" }, { "created": "Tue, 12 Mar 2024 01:07:14 GMT", "version": "v2" } ]
2024-03-13
[ [ "Wu", "Wenhao", "" ], [ "Yao", "Huanjin", "" ], [ "Zhang", "Mengxi", "" ], [ "Song", "Yuxin", "" ], [ "Ouyang", "Wanli", "" ], [ "Wang", "Jingdong", "" ] ]
This paper does not present a novel method. Instead, it delves into an essential, yet must-know baseline in light of the latest advancements in Generative Artificial Intelligence (GenAI): the utilization of GPT-4 for visual understanding. Our study centers on the evaluation of GPT-4's linguistic and visual capabilities...
2406.06886
Daniel Lindner
Daniel Lindner, Daniel Ritter, and Felix Naumann
Enabling Data Dependency-based Query Optimization
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Data dependency-based query optimization techniques can considerably improve database system performance: we apply three such optimization techniques to five database management systems (DBMSs) and observe throughput improvements between 5 % and 33 %. We address two key challenges to achieve these results: (i) effici...
[ { "created": "Tue, 11 Jun 2024 01:52:04 GMT", "version": "v1" } ]
2024-06-12
[ [ "Lindner", "Daniel", "" ], [ "Ritter", "Daniel", "" ], [ "Naumann", "Felix", "" ] ]
Data dependency-based query optimization techniques can considerably improve database system performance: we apply three such optimization techniques to five database management systems (DBMSs) and observe throughput improvements between 5 % and 33 %. We address two key challenges to achieve these results: (i) efficien...
2105.09705
Mohammadjavad Salehi
Hamidreza Bakhshzad Mahmoodi, Bikshapathi Gouda, MohammadJavad Salehi and Antti Tolli
Low-complexity Multicast Beamforming for Multi-stream Multi-group Communications
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, assuming multi-antenna transmitter and receivers, we consider multicast beamformer design for the weighted max-min-fairness (WMMF) problem in a multi-stream multi-group communication setup. Unlike the single-stream scenario, the WMMF objective in this setup is not equivalent to maximizing the minimum w...
[ { "created": "Thu, 20 May 2021 12:36:08 GMT", "version": "v1" } ]
2021-05-21
[ [ "Mahmoodi", "Hamidreza Bakhshzad", "" ], [ "Gouda", "Bikshapathi", "" ], [ "Salehi", "MohammadJavad", "" ], [ "Tolli", "Antti", "" ] ]
In this paper, assuming multi-antenna transmitter and receivers, we consider multicast beamformer design for the weighted max-min-fairness (WMMF) problem in a multi-stream multi-group communication setup. Unlike the single-stream scenario, the WMMF objective in this setup is not equivalent to maximizing the minimum wei...
1710.02765
Ngoc Hieu Tran
Ngoc Hieu Tran, Zachariah Levine, Lei Xin, Baozhen Shan, Ming Li
Protein identification with deep learning: from abc to xyz
null
null
null
null
cs.CE cs.LG q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proteins are the main workhorses of biological functions in a cell, a tissue, or an organism. Identification and quantification of proteins in a given sample, e.g. a cell type under normal/disease conditions, are fundamental tasks for the understanding of human health and disease. In this paper, we present DeepNovo, ...
[ { "created": "Sun, 8 Oct 2017 01:23:18 GMT", "version": "v1" } ]
2017-10-10
[ [ "Tran", "Ngoc Hieu", "" ], [ "Levine", "Zachariah", "" ], [ "Xin", "Lei", "" ], [ "Shan", "Baozhen", "" ], [ "Li", "Ming", "" ] ]
Proteins are the main workhorses of biological functions in a cell, a tissue, or an organism. Identification and quantification of proteins in a given sample, e.g. a cell type under normal/disease conditions, are fundamental tasks for the understanding of human health and disease. In this paper, we present DeepNovo, a ...
1911.06352
Jingjing Pan
Jingjing Pan, Yash Goyal, Stefan Lee
Question-Conditioned Counterfactual Image Generation for VQA
Accepted by the VQA Workshop at CVPR 2019
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While Visual Question Answering (VQA) models continue to push the state-of-the-art forward, they largely remain black-boxes - failing to provide insight into how or why an answer is generated. In this ongoing work, we propose addressing this shortcoming by learning to generate counterfactual images for a VQA model - ...
[ { "created": "Thu, 14 Nov 2019 19:37:33 GMT", "version": "v1" } ]
2019-11-18
[ [ "Pan", "Jingjing", "" ], [ "Goyal", "Yash", "" ], [ "Lee", "Stefan", "" ] ]
While Visual Question Answering (VQA) models continue to push the state-of-the-art forward, they largely remain black-boxes - failing to provide insight into how or why an answer is generated. In this ongoing work, we propose addressing this shortcoming by learning to generate counterfactual images for a VQA model - i....
1308.1780
Jonathan Heras
J\'onathan Heras, Ekaterina Komendantskaya, Moa Johansson and Ewen Maclean
Proof-Pattern Recognition and Lemma Discovery in ACL2
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel technique for combining statistical machine learning for proof-pattern recognition with symbolic methods for lemma discovery. The resulting tool, ACL2(ml), gathers proof statistics and uses statistical pattern-recognition to pre-processes data from libraries, and then suggests auxiliary lemmas in n...
[ { "created": "Thu, 8 Aug 2013 08:17:46 GMT", "version": "v1" }, { "created": "Tue, 15 Oct 2013 15:35:32 GMT", "version": "v2" } ]
2013-10-16
[ [ "Heras", "Jónathan", "" ], [ "Komendantskaya", "Ekaterina", "" ], [ "Johansson", "Moa", "" ], [ "Maclean", "Ewen", "" ] ]
We present a novel technique for combining statistical machine learning for proof-pattern recognition with symbolic methods for lemma discovery. The resulting tool, ACL2(ml), gathers proof statistics and uses statistical pattern-recognition to pre-processes data from libraries, and then suggests auxiliary lemmas in new...
1812.10457
Jinyuan Chen
Jinyuan Chen and Chunhua Geng
Optimal Secure GDoF of Symmetric Gaussian Wiretap Channel with a Helper
This work was presented in part at the 2019 IEEE International Symposium on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a symmetric Gaussian wiretap channel with a helper, where a confidential message is sent from a transmitter to a legitimate receiver, in the presence of a helper and an eavesdropper, under a weak notion of secrecy constraint. For this setting, we characterize the optimal secure generalized degrees-of-freedom...
[ { "created": "Wed, 26 Dec 2018 18:46:25 GMT", "version": "v1" }, { "created": "Wed, 11 Sep 2019 17:32:25 GMT", "version": "v2" } ]
2019-09-12
[ [ "Chen", "Jinyuan", "" ], [ "Geng", "Chunhua", "" ] ]
We study a symmetric Gaussian wiretap channel with a helper, where a confidential message is sent from a transmitter to a legitimate receiver, in the presence of a helper and an eavesdropper, under a weak notion of secrecy constraint. For this setting, we characterize the optimal secure generalized degrees-of-freedom (...
2308.12069
Zengjie Zhang Dr.
Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, and Martin Buss
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
null
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
The driving style of an Autonomous Vehicle (AV) refers to how it behaves and interacts with other AVs. In a multi-vehicle autonomous driving system, an AV capable of identifying the driving styles of its nearby AVs can reliably evaluate the risk of collisions and make more reasonable driving decisions. However, there...
[ { "created": "Wed, 23 Aug 2023 11:31:50 GMT", "version": "v1" } ]
2023-08-24
[ [ "Dang", "Ni", "" ], [ "Shi", "Tao", "" ], [ "Zhang", "Zengjie", "" ], [ "Jin", "Wanxin", "" ], [ "Leibold", "Marion", "" ], [ "Buss", "Martin", "" ] ]
The driving style of an Autonomous Vehicle (AV) refers to how it behaves and interacts with other AVs. In a multi-vehicle autonomous driving system, an AV capable of identifying the driving styles of its nearby AVs can reliably evaluate the risk of collisions and make more reasonable driving decisions. However, there h...
1607.04347
Higor Amario de Souza
Higor A. de Souza, Marcos L. Chaim, Fabio Kon
Spectrum-based Software Fault Localization: A Survey of Techniques, Advances, and Challenges
Submitted to Software Testing, Verification and Reliability
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite being one of the most basic tasks in software development, debugging is still performed in a mostly manual way, leading to high cost and low performance. To address this problem, researchers have studied promising approaches, such as Spectrum-based Fault Localization (SFL) techniques, which pinpoint program e...
[ { "created": "Fri, 15 Jul 2016 00:20:37 GMT", "version": "v1" }, { "created": "Sun, 26 Nov 2017 17:43:49 GMT", "version": "v2" } ]
2017-11-28
[ [ "de Souza", "Higor A.", "" ], [ "Chaim", "Marcos L.", "" ], [ "Kon", "Fabio", "" ] ]
Despite being one of the most basic tasks in software development, debugging is still performed in a mostly manual way, leading to high cost and low performance. To address this problem, researchers have studied promising approaches, such as Spectrum-based Fault Localization (SFL) techniques, which pinpoint program ele...
2002.10111
Zechen Liu
Zechen Liu, Zizhang Wu, Roland T\'oth
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
8 pages, 6 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving. In case of monocular vision, successful methods have been mainly based on two ingredients: (i) a network generating 2D region proposals, (ii) a R-CNN structure predicting 3D object pose by util...
[ { "created": "Mon, 24 Feb 2020 08:15:36 GMT", "version": "v1" } ]
2020-02-25
[ [ "Liu", "Zechen", "" ], [ "Wu", "Zizhang", "" ], [ "Tóth", "Roland", "" ] ]
Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving. In case of monocular vision, successful methods have been mainly based on two ingredients: (i) a network generating 2D region proposals, (ii) a R-CNN structure predicting 3D object pose by utiliz...
2208.14841
Marcin Pilipczuk
Eun Jung Kim, Tom\'a\v{s} Masa\v{r}\'ik, Marcin Pilipczuk, Roohani Sharma, Magnus Wahlstr\"om
On weighted graph separation problems and flow-augmentation
17 pages, 1 figure
SIAM Journal on Discrete Mathematics 38(1), 170-189, 2024
10.1137/22M153118X
null
cs.DS cs.CC
http://creativecommons.org/licenses/by/4.0/
One of the first application of the recently introduced technique of \emph{flow-augmentation} [Kim et al., STOC 2022] is a fixed-parameter algorithm for the weighted version of \textsc{Directed Feedback Vertex Set}, a landmark problem in parameterized complexity. In this note we explore applicability of flow-augmenta...
[ { "created": "Wed, 31 Aug 2022 13:17:07 GMT", "version": "v1" }, { "created": "Fri, 2 Sep 2022 11:48:59 GMT", "version": "v2" } ]
2024-01-11
[ [ "Kim", "Eun Jung", "" ], [ "Masařík", "Tomáš", "" ], [ "Pilipczuk", "Marcin", "" ], [ "Sharma", "Roohani", "" ], [ "Wahlström", "Magnus", "" ] ]
One of the first application of the recently introduced technique of \emph{flow-augmentation} [Kim et al., STOC 2022] is a fixed-parameter algorithm for the weighted version of \textsc{Directed Feedback Vertex Set}, a landmark problem in parameterized complexity. In this note we explore applicability of flow-augmentati...
1501.02876
Yi Shan
Ren Wu, Shengen Yan, Yi Shan, Qingqing Dang, Gang Sun
Deep Image: Scaling up Image Recognition
This paper has been withdrawn by the authors due to a mistake related to ImageNet server submissions
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep learning, a highly optimized parallel algorithm using new strategies for data partitioning and communication, larger deep neural network m...
[ { "created": "Tue, 13 Jan 2015 03:42:24 GMT", "version": "v1" }, { "created": "Fri, 6 Feb 2015 10:12:14 GMT", "version": "v2" }, { "created": "Mon, 11 May 2015 17:36:20 GMT", "version": "v3" }, { "created": "Mon, 1 Jun 2015 19:44:49 GMT", "version": "v4" }, { "cre...
2015-07-07
[ [ "Wu", "Ren", "" ], [ "Yan", "Shengen", "" ], [ "Shan", "Yi", "" ], [ "Dang", "Qingqing", "" ], [ "Sun", "Gang", "" ] ]
We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep learning, a highly optimized parallel algorithm using new strategies for data partitioning and communication, larger deep neural network mod...
2202.03418
Yoonho Lee
Yoonho Lee, Huaxiu Yao, Chelsea Finn
Diversify and Disambiguate: Learning From Underspecified Data
ICLR 2023. Code is available at https://github.com/yoonholee/DivDis
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many datasets are underspecified: there exist multiple equally viable solutions to a given task. Underspecification can be problematic for methods that learn a single hypothesis because different functions that achieve low training loss can focus on different predictive features and thus produce widely varying predic...
[ { "created": "Mon, 7 Feb 2022 18:59:06 GMT", "version": "v1" }, { "created": "Tue, 21 Jun 2022 01:41:58 GMT", "version": "v2" }, { "created": "Tue, 21 Feb 2023 06:01:12 GMT", "version": "v3" } ]
2023-02-22
[ [ "Lee", "Yoonho", "" ], [ "Yao", "Huaxiu", "" ], [ "Finn", "Chelsea", "" ] ]
Many datasets are underspecified: there exist multiple equally viable solutions to a given task. Underspecification can be problematic for methods that learn a single hypothesis because different functions that achieve low training loss can focus on different predictive features and thus produce widely varying predicti...
1805.12051
Saurabh Sawlani
Timothy Chu, Yu Gao, Richard Peng, Sushant Sachdeva, Saurabh Sawlani, Junxing Wang
Graph Sparsification, Spectral Sketches, and Faster Resistance Computation, via Short Cycle Decompositions
80 pages
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a framework for graph sparsification and sketching, based on a new tool, short cycle decomposition -- a decomposition of an unweighted graph into an edge-disjoint collection of short cycles, plus few extra edges. A simple observation gives that every graph G on n vertices with m edges can be decomposed in ...
[ { "created": "Wed, 30 May 2018 16:14:18 GMT", "version": "v1" } ]
2018-05-31
[ [ "Chu", "Timothy", "" ], [ "Gao", "Yu", "" ], [ "Peng", "Richard", "" ], [ "Sachdeva", "Sushant", "" ], [ "Sawlani", "Saurabh", "" ], [ "Wang", "Junxing", "" ] ]
We develop a framework for graph sparsification and sketching, based on a new tool, short cycle decomposition -- a decomposition of an unweighted graph into an edge-disjoint collection of short cycles, plus few extra edges. A simple observation gives that every graph G on n vertices with m edges can be decomposed in $O...
2401.15508
Yuliang Gu
Yuliang Gu, Sheng Cheng and Naira Hovakimyan
Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
null
null
null
null
cs.RO cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Quadrotors are increasingly used in the evolving field of aerial robotics for their agility and mechanical simplicity. However, inherent uncertainties, such as aerodynamic effects coupled with quadrotors' operation in dynamically changing environments, pose significant challenges for traditional, nominal model-based ...
[ { "created": "Sat, 27 Jan 2024 21:32:04 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 19:49:18 GMT", "version": "v2" } ]
2024-05-24
[ [ "Gu", "Yuliang", "" ], [ "Cheng", "Sheng", "" ], [ "Hovakimyan", "Naira", "" ] ]
Quadrotors are increasingly used in the evolving field of aerial robotics for their agility and mechanical simplicity. However, inherent uncertainties, such as aerodynamic effects coupled with quadrotors' operation in dynamically changing environments, pose significant challenges for traditional, nominal model-based co...
2310.09229
Jongwook Woo Prof
Aishwarya Gupta, Rahul S. Bhogale, Priyanka Thota, Prathushkumar Dathuri, Jongwook Woo
Insuring Smiles: Predicting routine dental coverage using Spark ML
4 pages, 13 figures, 5 tables
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA. The Health Insurance Exchange Public Use Files (Exchange PUFs) dataset provided by CMS offers valuable information on health and dental policies [1]. In this paper, we leverage machine learning algorithms t...
[ { "created": "Fri, 13 Oct 2023 16:31:51 GMT", "version": "v1" } ]
2023-10-16
[ [ "Gupta", "Aishwarya", "" ], [ "Bhogale", "Rahul S.", "" ], [ "Thota", "Priyanka", "" ], [ "Dathuri", "Prathushkumar", "" ], [ "Woo", "Jongwook", "" ] ]
Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA. The Health Insurance Exchange Public Use Files (Exchange PUFs) dataset provided by CMS offers valuable information on health and dental policies [1]. In this paper, we leverage machine learning algorithms to ...
2404.00524
Yuxiao Liu
Yuxiao Liu, Zhe Li, Yebin Liu, Haoqian Wang
TexVocab: Texture Vocabulary-conditioned Human Avatars
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To adequately utilize the available image evidence in multi-view video-based avatar modeling, we propose TexVocab, a novel avatar representation that constructs a texture vocabulary and associates body poses with texture maps for animation. Given multi-view RGB videos, our method initially back-projects all the avail...
[ { "created": "Sun, 31 Mar 2024 01:58:04 GMT", "version": "v1" } ]
2024-04-02
[ [ "Liu", "Yuxiao", "" ], [ "Li", "Zhe", "" ], [ "Liu", "Yebin", "" ], [ "Wang", "Haoqian", "" ] ]
To adequately utilize the available image evidence in multi-view video-based avatar modeling, we propose TexVocab, a novel avatar representation that constructs a texture vocabulary and associates body poses with texture maps for animation. Given multi-view RGB videos, our method initially back-projects all the availab...
1904.11052
Benjamin Edwards
Benjamin Edwards, Jay Jacobs and Stephanie Forrest
Risky Business: Assessing Security with External Measurements
Updated data provider capitalization in text abstract
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Security practices in large organizations are notoriously difficult to assess. The challenge only increases when organizations turn to third parties to provide technology and business services, which typically require tight network integration and sharing of confidential data, potentially increasing the organization'...
[ { "created": "Wed, 24 Apr 2019 20:18:59 GMT", "version": "v1" }, { "created": "Fri, 17 May 2019 16:59:52 GMT", "version": "v2" }, { "created": "Wed, 22 May 2019 13:53:52 GMT", "version": "v3" } ]
2019-05-23
[ [ "Edwards", "Benjamin", "" ], [ "Jacobs", "Jay", "" ], [ "Forrest", "Stephanie", "" ] ]
Security practices in large organizations are notoriously difficult to assess. The challenge only increases when organizations turn to third parties to provide technology and business services, which typically require tight network integration and sharing of confidential data, potentially increasing the organization's ...
1412.8528
EPTCS
Frank Roumen (Inst. for Mathematics, Astrophysics and Particle Physics (IMAPP), Radboud University Nijmegen)
Categorical characterizations of operator-valued measures
In Proceedings QPL 2013, arXiv:1412.7917
EPTCS 171, 2014, pp. 132-144
10.4204/EPTCS.171.12
null
cs.LO math.CT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The most general type of measurement in quantum physics is modeled by a positive operator-valued measure (POVM). Mathematically, a POVM is a generalization of a measure, whose values are not real numbers, but positive operators on a Hilbert space. POVMs can equivalently be viewed as maps between effect algebras or as...
[ { "created": "Tue, 30 Dec 2014 01:43:49 GMT", "version": "v1" } ]
2014-12-31
[ [ "Roumen", "Frank", "", "Inst. for Mathematics, Astrophysics and Particle Physics" ] ]
The most general type of measurement in quantum physics is modeled by a positive operator-valued measure (POVM). Mathematically, a POVM is a generalization of a measure, whose values are not real numbers, but positive operators on a Hilbert space. POVMs can equivalently be viewed as maps between effect algebras or as m...
1703.07907
Li Xiao
Li Xiao and Xiang-Gen Xia
Robust Polynomial Reconstruction via Chinese Remainder Theorem in the Presence of Small Degree Residue Errors
5 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on unique decoding of the polynomial residue code with non-pairwise coprime moduli, a polynomial with degree less than that of the least common multiple (lcm) of all the moduli can be accurately reconstructed when the number of residue errors is less than half the minimum distance of the code. However, once the...
[ { "created": "Thu, 23 Mar 2017 02:20:35 GMT", "version": "v1" } ]
2017-03-24
[ [ "Xiao", "Li", "" ], [ "Xia", "Xiang-Gen", "" ] ]
Based on unique decoding of the polynomial residue code with non-pairwise coprime moduli, a polynomial with degree less than that of the least common multiple (lcm) of all the moduli can be accurately reconstructed when the number of residue errors is less than half the minimum distance of the code. However, once the n...
2006.05697
Jun Shu
Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
14 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To discover intrinsic inter-class transition probabilities underlying data, learning with noise transition has become an important approach for robust deep learning on corrupted labels. Prior methods attempt to achieve such transition knowledge by pre-assuming strongly confident anchor points with 1-probability belon...
[ { "created": "Wed, 10 Jun 2020 07:27:25 GMT", "version": "v1" }, { "created": "Fri, 12 Jun 2020 01:18:07 GMT", "version": "v2" } ]
2020-06-15
[ [ "Shu", "Jun", "" ], [ "Zhao", "Qian", "" ], [ "Xu", "Zongben", "" ], [ "Meng", "Deyu", "" ] ]
To discover intrinsic inter-class transition probabilities underlying data, learning with noise transition has become an important approach for robust deep learning on corrupted labels. Prior methods attempt to achieve such transition knowledge by pre-assuming strongly confident anchor points with 1-probability belongi...
1809.01649
Yuliang Zou
Yuliang Zou, Zelun Luo, Jia-Bin Huang
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
ECCV 2018. Project website: http://yuliang.vision/DF-Net/ Code: https://github.com/vt-vl-lab/DF-Net
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an unsupervised learning framework for simultaneously training single-view depth prediction and optical flow estimation models using unlabeled video sequences. Existing unsupervised methods often exploit brightness constancy and spatial smoothness priors to train depth or flow models. In this paper, we pro...
[ { "created": "Wed, 5 Sep 2018 17:58:25 GMT", "version": "v1" } ]
2018-09-06
[ [ "Zou", "Yuliang", "" ], [ "Luo", "Zelun", "" ], [ "Huang", "Jia-Bin", "" ] ]
We present an unsupervised learning framework for simultaneously training single-view depth prediction and optical flow estimation models using unlabeled video sequences. Existing unsupervised methods often exploit brightness constancy and spatial smoothness priors to train depth or flow models. In this paper, we propo...
1807.09905
Katie Byl
Nihar Talele and Katie Byl
Toward Efficient and Robust Biped Walking Optimization
null
null
null
null
cs.RO cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Practical bipedal robot locomotion needs to be both energy efficient and robust to variability and uncertainty. In this paper, we build upon recent works in trajectory optimization for robot locomotion with two primary goals. First, we wish to demonstrate the importance of (a) considering and quantifying not only ene...
[ { "created": "Thu, 26 Jul 2018 00:40:39 GMT", "version": "v1" } ]
2018-07-27
[ [ "Talele", "Nihar", "" ], [ "Byl", "Katie", "" ] ]
Practical bipedal robot locomotion needs to be both energy efficient and robust to variability and uncertainty. In this paper, we build upon recent works in trajectory optimization for robot locomotion with two primary goals. First, we wish to demonstrate the importance of (a) considering and quantifying not only energ...
1302.6210
Ratnadip Adhikari
Ratnadip Adhikari, R. K. Agrawal
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting
8 pages, 4 figures, 2 tables, 26 references, international journal
International Journal of Computer Applications, Vol. 32, No. 7, October 2011, pp. 1-8
10.5120/3913-5505
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enhancing the robustness and accuracy of time series forecasting models is an active area of research. Recently, Artificial Neural Networks (ANNs) have found extensive applications in many practical forecasting problems. However, the standard backpropagation ANN training algorithm has some critical issues, e.g. it ha...
[ { "created": "Mon, 25 Feb 2013 20:09:19 GMT", "version": "v1" } ]
2013-02-27
[ [ "Adhikari", "Ratnadip", "" ], [ "Agrawal", "R. K.", "" ] ]
Enhancing the robustness and accuracy of time series forecasting models is an active area of research. Recently, Artificial Neural Networks (ANNs) have found extensive applications in many practical forecasting problems. However, the standard backpropagation ANN training algorithm has some critical issues, e.g. it has ...
1512.08311
Zhongwei Hu
Zhongwei Hu, Chaowei Yuan, Fengchao Zhu and Feifei Gao
Weighted Sum Transmit Power Minimization for Full-Duplex System with SWIPT and Self-Energy Recycling
This paper has been withdrawn by the author due to a crucial modification in P1
null
null
null
cs.NI cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This correspondence considers a full-duplex (FD) point-to-point system consisting of one multi-antenna full-duplex access point (FD-AP) and one two-antenna full-duplex mobile station (FD-MS). We adopt simultaneous wireless information and power transfer (SWIPT) scheme and apply the self-energy recycling at FD-MS. In ...
[ { "created": "Mon, 28 Dec 2015 03:01:54 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2016 02:25:54 GMT", "version": "v2" } ]
2016-07-01
[ [ "Hu", "Zhongwei", "" ], [ "Yuan", "Chaowei", "" ], [ "Zhu", "Fengchao", "" ], [ "Gao", "Feifei", "" ] ]
This correspondence considers a full-duplex (FD) point-to-point system consisting of one multi-antenna full-duplex access point (FD-AP) and one two-antenna full-duplex mobile station (FD-MS). We adopt simultaneous wireless information and power transfer (SWIPT) scheme and apply the self-energy recycling at FD-MS. In or...
2212.02501
Anh-Quan Cao
Anh-Quan Cao and Raoul de Charette
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
ICCV 2023. Project page: https://astra-vision.github.io/SceneRF
null
null
null
cs.CV cs.AI cs.GR cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D reconstruction from a single 2D image was extensively covered in the literature but relies on depth supervision at training time, which limits its applicability. To relax the dependence to depth we propose SceneRF, a self-supervised monocular scene reconstruction method using only posed image sequences for trainin...
[ { "created": "Mon, 5 Dec 2022 18:59:57 GMT", "version": "v1" }, { "created": "Tue, 10 Jan 2023 11:08:32 GMT", "version": "v2" }, { "created": "Mon, 13 Mar 2023 18:48:14 GMT", "version": "v3" }, { "created": "Thu, 24 Aug 2023 22:14:53 GMT", "version": "v4" } ]
2023-08-28
[ [ "Cao", "Anh-Quan", "" ], [ "de Charette", "Raoul", "" ] ]
3D reconstruction from a single 2D image was extensively covered in the literature but relies on depth supervision at training time, which limits its applicability. To relax the dependence to depth we propose SceneRF, a self-supervised monocular scene reconstruction method using only posed image sequences for training....
2402.15730
Ghadeer Ghosheh
Ghadeer O. Ghosheh, Jin Li, and Tingting Zhu
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
With the widespread of machine learning models for healthcare applications, there is increased interest in building applications for personalized medicine. Despite the plethora of proposed research for personalized medicine, very few focus on representing missingness and learning from the missingness patterns in time...
[ { "created": "Sat, 24 Feb 2024 05:48:39 GMT", "version": "v1" } ]
2024-02-27
[ [ "Ghosheh", "Ghadeer O.", "" ], [ "Li", "Jin", "" ], [ "Zhu", "Tingting", "" ] ]
With the widespread of machine learning models for healthcare applications, there is increased interest in building applications for personalized medicine. Despite the plethora of proposed research for personalized medicine, very few focus on representing missingness and learning from the missingness patterns in time-s...
2307.13347
Ziteng Sun
Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh
Federated Heavy Hitter Recovery under Linear Sketching
null
null
null
null
cs.DS cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by real-life deployments of multi-round federated analytics with secure aggregation, we investigate the fundamental communication-accuracy tradeoffs of the heavy hitter discovery and approximate (open-domain) histogram problems under a linear sketching constraint. We propose efficient algorithms based on lo...
[ { "created": "Tue, 25 Jul 2023 09:04:24 GMT", "version": "v1" } ]
2023-07-26
[ [ "Gascon", "Adria", "" ], [ "Kairouz", "Peter", "" ], [ "Sun", "Ziteng", "" ], [ "Suresh", "Ananda Theertha", "" ] ]
Motivated by real-life deployments of multi-round federated analytics with secure aggregation, we investigate the fundamental communication-accuracy tradeoffs of the heavy hitter discovery and approximate (open-domain) histogram problems under a linear sketching constraint. We propose efficient algorithms based on loca...
2210.16023
Fei Sun
Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
LegoNet: A Fast and Exact Unlearning Architecture
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Machine unlearning aims to erase the impact of specific training samples upon deleted requests from a trained model. Re-training the model on the retained data after deletion is an effective but not efficient way due to the huge number of model parameters and re-training samples. To speed up, a natural way is to redu...
[ { "created": "Fri, 28 Oct 2022 09:53:05 GMT", "version": "v1" } ]
2022-10-31
[ [ "Yu", "Sihao", "" ], [ "Sun", "Fei", "" ], [ "Guo", "Jiafeng", "" ], [ "Zhang", "Ruqing", "" ], [ "Cheng", "Xueqi", "" ] ]
Machine unlearning aims to erase the impact of specific training samples upon deleted requests from a trained model. Re-training the model on the retained data after deletion is an effective but not efficient way due to the huge number of model parameters and re-training samples. To speed up, a natural way is to reduce...
2305.02371
Nizar Riane
Nizar Riane
Spectral cyclicality of networks
null
null
null
null
cs.SI math.CO
http://creativecommons.org/licenses/by/4.0/
We introduce the spectral influence and spectral cyclicality based on the largest eigenvalue of a graph adjacency matrix, two novel concepts of centrality capturing diffusion and interdependence from a local and a global point of view respectively. We define a new clustering algorithm to distinguish communities with ...
[ { "created": "Wed, 3 May 2023 18:16:47 GMT", "version": "v1" } ]
2023-05-05
[ [ "Riane", "Nizar", "" ] ]
We introduce the spectral influence and spectral cyclicality based on the largest eigenvalue of a graph adjacency matrix, two novel concepts of centrality capturing diffusion and interdependence from a local and a global point of view respectively. We define a new clustering algorithm to distinguish communities with hi...
1703.05942
Gianfranco Nencioni
Gianfranco Nencioni, Bjarne E. Helvik, Poul E. Heegaard
Implementing the Availability Model of a Software-Defined Backbone Network in M\"obius
IIK, NTNU, Tech. Rep., March 2017
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software-defined networking (SDN) promises to improve the programmability and flexibility of networks, but it may bring also new challenges that need to be explored. One open issue is the quantitative assessment of the properties of SDN backbone networks to determine whether they can provide similar availability to t...
[ { "created": "Fri, 17 Mar 2017 09:53:13 GMT", "version": "v1" } ]
2017-03-20
[ [ "Nencioni", "Gianfranco", "" ], [ "Helvik", "Bjarne E.", "" ], [ "Heegaard", "Poul E.", "" ] ]
Software-defined networking (SDN) promises to improve the programmability and flexibility of networks, but it may bring also new challenges that need to be explored. One open issue is the quantitative assessment of the properties of SDN backbone networks to determine whether they can provide similar availability to the...
1901.11295
Ling-Ze Bu
Ling-Ze Bu, Wei Zhao, Wei Wang
Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models
null
null
null
null
cs.NA cs.CE
http://creativecommons.org/licenses/by-nc-sa/4.0/
To tackle the curse of dimensionality and multicollinearity problems of polynomial chaos expansion for analyzing global sensitivity and reliability of models with high stochastic dimensions, this paper proposes a novel non-intrusive algorithm called second order hierarchical partial least squares regression-polynomia...
[ { "created": "Thu, 31 Jan 2019 10:07:19 GMT", "version": "v1" }, { "created": "Mon, 4 Feb 2019 12:25:02 GMT", "version": "v2" }, { "created": "Thu, 7 Mar 2019 06:46:14 GMT", "version": "v3" } ]
2019-03-08
[ [ "Bu", "Ling-Ze", "" ], [ "Zhao", "Wei", "" ], [ "Wang", "Wei", "" ] ]
To tackle the curse of dimensionality and multicollinearity problems of polynomial chaos expansion for analyzing global sensitivity and reliability of models with high stochastic dimensions, this paper proposes a novel non-intrusive algorithm called second order hierarchical partial least squares regression-polynomial ...
1908.03788
Jocelyn Thiebaut
Marthe Bonamy and Oscar Defrain and Meike Hatzel and Jocelyn Thiebaut
Avoidable paths in graphs
7 pages, 1 figure
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove a recent conjecture of Beisegel et al. that for every positive integer k, every graph containing an induced P_k also contains an avoidable P_k. Avoidability generalises the notion of simpliciality best known in the context of chordal graphs. The conjecture was only established for k in {1,2} (Ohtsuki et al. ...
[ { "created": "Sat, 10 Aug 2019 17:23:53 GMT", "version": "v1" } ]
2019-08-13
[ [ "Bonamy", "Marthe", "" ], [ "Defrain", "Oscar", "" ], [ "Hatzel", "Meike", "" ], [ "Thiebaut", "Jocelyn", "" ] ]
We prove a recent conjecture of Beisegel et al. that for every positive integer k, every graph containing an induced P_k also contains an avoidable P_k. Avoidability generalises the notion of simpliciality best known in the context of chordal graphs. The conjecture was only established for k in {1,2} (Ohtsuki et al. 19...
1808.00076
Gabriel de Souza Pereira Moreira
Gabriel de Souza P. Moreira, Felipe Ferreira, Adilson Marques da Cunha
News Session-Based Recommendations using Deep Neural Networks
Accepted for the Third Workshop on Deep Learning for Recommender Systems - DLRS 2018, October 02-07, 2018, Vancouver, Canada. https://recsys.acm.org/recsys18/dlrs/
null
10.1145/3270323.3270328
null
cs.IR cs.AI cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
News recommender systems are aimed to personalize users experiences and help them to discover relevant articles from a large and dynamic search space. Therefore, news domain is a challenging scenario for recommendations, due to its sparse user profiling, fast growing number of items, accelerated item's value decay, a...
[ { "created": "Tue, 31 Jul 2018 21:15:54 GMT", "version": "v1" }, { "created": "Fri, 7 Sep 2018 01:02:00 GMT", "version": "v2" }, { "created": "Mon, 17 Sep 2018 03:09:58 GMT", "version": "v3" } ]
2018-09-18
[ [ "Moreira", "Gabriel de Souza P.", "" ], [ "Ferreira", "Felipe", "" ], [ "da Cunha", "Adilson Marques", "" ] ]
News recommender systems are aimed to personalize users experiences and help them to discover relevant articles from a large and dynamic search space. Therefore, news domain is a challenging scenario for recommendations, due to its sparse user profiling, fast growing number of items, accelerated item's value decay, and...
2209.10973
Abdelkrim Abdelli Mr
Meriem Achir, Abdelkrim Abdelli, Lynda Mokdad
Distributed architecture for resource description and discovery in the IoT
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Nowadays, the Internet of Things (IoT) creates a vast ecosystem of intelligent objects interconnected via the Internet, allowing them to exchange information and to interact. This paradigm has been extended to a new concept, called the Web of Things (WoT), considering that every physical object can be accessed and co...
[ { "created": "Thu, 22 Sep 2022 12:49:57 GMT", "version": "v1" } ]
2022-09-23
[ [ "Achir", "Meriem", "" ], [ "Abdelli", "Abdelkrim", "" ], [ "Mokdad", "Lynda", "" ] ]
Nowadays, the Internet of Things (IoT) creates a vast ecosystem of intelligent objects interconnected via the Internet, allowing them to exchange information and to interact. This paradigm has been extended to a new concept, called the Web of Things (WoT), considering that every physical object can be accessed and cont...
2108.04983
Yong Li
Yong Li, Yufei Sun, Zhen Cui, Shiguang Shan, Jian Yang
Learning Fair Face Representation With Progressive Cross Transformer
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still challenges the practical face recognition system. The race factor has been proven to be a dilemma for fair FR (FFR) as the subject-relate...
[ { "created": "Wed, 11 Aug 2021 01:31:14 GMT", "version": "v1" } ]
2021-08-12
[ [ "Li", "Yong", "" ], [ "Sun", "Yufei", "" ], [ "Cui", "Zhen", "" ], [ "Shan", "Shiguang", "" ], [ "Yang", "Jian", "" ] ]
Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still challenges the practical face recognition system. The race factor has been proven to be a dilemma for fair FR (FFR) as the subject-related ...
2310.16123
Jianming Huang
Jianming Huang, Xun Su, Zhongxi Fang, Hiroyuki Kasai
Anchor Space Optimal Transport: Accelerating Batch Processing of Multiple OT Problems
26 pages, 4 figures, 6 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The optimal transport (OT) theory provides an effective way to compare probability distributions on a defined metric space, but it suffers from cubic computational complexity. Although the Sinkhorn's algorithm greatly reduces the computational complexity of OT solutions, the solutions of multiple OT problems are stil...
[ { "created": "Tue, 24 Oct 2023 18:55:12 GMT", "version": "v1" } ]
2023-10-26
[ [ "Huang", "Jianming", "" ], [ "Su", "Xun", "" ], [ "Fang", "Zhongxi", "" ], [ "Kasai", "Hiroyuki", "" ] ]
The optimal transport (OT) theory provides an effective way to compare probability distributions on a defined metric space, but it suffers from cubic computational complexity. Although the Sinkhorn's algorithm greatly reduces the computational complexity of OT solutions, the solutions of multiple OT problems are still ...
1908.06801
Yoshitaka Kameya
Yoshitaka Kameya
Towards Efficient Discriminative Pattern Mining in Hybrid Domains
This paper is an English version of the paper originally presented in the 17th Forum on Information Technology (FIT 2018), a Japanese domestic conference held during September 19-21, 2018
null
null
null
cs.DB cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Discriminative pattern mining is a data mining task in which we find patterns that distinguish transactions in the class of interest from those in other classes, and is also called emerging pattern mining or subgroup discovery. One practical problem in discriminative pattern mining is how to handle numeric values in ...
[ { "created": "Thu, 15 Aug 2019 13:28:50 GMT", "version": "v1" } ]
2019-08-20
[ [ "Kameya", "Yoshitaka", "" ] ]
Discriminative pattern mining is a data mining task in which we find patterns that distinguish transactions in the class of interest from those in other classes, and is also called emerging pattern mining or subgroup discovery. One practical problem in discriminative pattern mining is how to handle numeric values in th...
cs/0702117
Mathieu Couture
Prosenjit Bose and Paz Carmi and Mathieu Couture and Michiel Smid and Daming Xu
On a family of strong geometric spanners that admit local routing strategies
null
null
null
null
cs.CG
null
We introduce a family of directed geometric graphs, denoted $\paz$, that depend on two parameters $\lambda$ and $\theta$. For $0\leq \theta<\frac{\pi}{2}$ and ${1/2} < \lambda < 1$, the $\paz$ graph is a strong $t$-spanner, with $t=\frac{1}{(1-\lambda)\cos\theta}$. The out-degree of a node in the $\paz$ graph is at m...
[ { "created": "Tue, 20 Feb 2007 20:54:16 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2007 14:57:44 GMT", "version": "v2" }, { "created": "Thu, 22 Feb 2007 21:17:05 GMT", "version": "v3" } ]
2007-05-23
[ [ "Bose", "Prosenjit", "" ], [ "Carmi", "Paz", "" ], [ "Couture", "Mathieu", "" ], [ "Smid", "Michiel", "" ], [ "Xu", "Daming", "" ] ]
We introduce a family of directed geometric graphs, denoted $\paz$, that depend on two parameters $\lambda$ and $\theta$. For $0\leq \theta<\frac{\pi}{2}$ and ${1/2} < \lambda < 1$, the $\paz$ graph is a strong $t$-spanner, with $t=\frac{1}{(1-\lambda)\cos\theta}$. The out-degree of a node in the $\paz$ graph is at mos...
2408.07925
Muhammad Arslan
Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
8 pages, 5 figures, 3 tables, International Polydisciplinary Conference on Artificial Intelligence and New Technologies
null
null
null
cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
Sleep plays a crucial role in neonatal development. Monitoring the sleep patterns in neonates in a Neonatal Intensive Care Unit (NICU) is imperative for understanding the maturation process. While polysomnography (PSG) is considered the best practice for sleep classification, its expense and reliance on human annotat...
[ { "created": "Thu, 15 Aug 2024 04:38:24 GMT", "version": "v1" } ]
2024-08-16
[ [ "Arslan", "Muhammad", "" ], [ "Mubeen", "Muhammad", "" ], [ "Abbasi", "Saadullah Farooq", "" ], [ "Khan", "Muhammad Shahbaz", "" ], [ "Boulila", "Wadii", "" ], [ "Ahmad", "Jawad", "" ] ]
Sleep plays a crucial role in neonatal development. Monitoring the sleep patterns in neonates in a Neonatal Intensive Care Unit (NICU) is imperative for understanding the maturation process. While polysomnography (PSG) is considered the best practice for sleep classification, its expense and reliance on human annotatio...