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2111.03278
Eric Neyman
Rafael Frongillo, Eric Neyman, Bo Waggoner
Agreement Implies Accuracy for Substitutable Signals
31 pages, 1 figure
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
Inspired by Aumann's agreement theorem, Scott Aaronson studied the amount of communication necessary for two Bayesian experts to approximately agree on the expectation of a random variable. Aaronson showed that, remarkably, the number of bits does not depend on the amount of information available to each expert. Howe...
[ { "created": "Fri, 5 Nov 2021 05:47:03 GMT", "version": "v1" } ]
2021-11-08
[ [ "Frongillo", "Rafael", "" ], [ "Neyman", "Eric", "" ], [ "Waggoner", "Bo", "" ] ]
Inspired by Aumann's agreement theorem, Scott Aaronson studied the amount of communication necessary for two Bayesian experts to approximately agree on the expectation of a random variable. Aaronson showed that, remarkably, the number of bits does not depend on the amount of information available to each expert. Howeve...
2404.00466
Heqiang Wang
Heqiang Wang, Jieming Bian, Lei Wang
Computation and Communication Efficient Lightweighting Vertical Federated Learning
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
The exploration of computational and communication efficiency within Federated Learning (FL) has emerged as a prominent and crucial field of study. While most existing efforts to enhance these efficiencies have focused on Horizontal FL, the distinct processes and model structures of Vertical FL preclude the direct ap...
[ { "created": "Sat, 30 Mar 2024 20:19:28 GMT", "version": "v1" } ]
2024-04-02
[ [ "Wang", "Heqiang", "" ], [ "Bian", "Jieming", "" ], [ "Wang", "Lei", "" ] ]
The exploration of computational and communication efficiency within Federated Learning (FL) has emerged as a prominent and crucial field of study. While most existing efforts to enhance these efficiencies have focused on Horizontal FL, the distinct processes and model structures of Vertical FL preclude the direct appl...
1106.1910
Vahid Majid Nezhad
Vahid Majid Nezhad, Habib Motee Gader and Evgueni Efimov
A Novel Hybrid Algorithm for Task Graph Scheduling
null
IJCSI, Vol 8, Issue 2, March 2011, p32-38
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the important problems in multiprocessor systems is Task Graph Scheduling. Task Graph Scheduling is an NP-Hard problem. Both learning automata and genetic algorithms are search tools which are used for solving many NP-Hard problems. In this paper a new hybrid method based on Genetic Algorithm and Learning Auto...
[ { "created": "Thu, 9 Jun 2011 20:26:22 GMT", "version": "v1" } ]
2011-06-13
[ [ "Nezhad", "Vahid Majid", "" ], [ "Gader", "Habib Motee", "" ], [ "Efimov", "Evgueni", "" ] ]
One of the important problems in multiprocessor systems is Task Graph Scheduling. Task Graph Scheduling is an NP-Hard problem. Both learning automata and genetic algorithms are search tools which are used for solving many NP-Hard problems. In this paper a new hybrid method based on Genetic Algorithm and Learning Automa...
1909.02273
Chengyi Wang
Chengyi Wang, Shuangzhi Wu, Shujie Liu
Source Dependency-Aware Transformer with Supervised Self-Attention
6 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, Transformer has achieved the state-of-the-art performance on many machine translation tasks. However, without syntax knowledge explicitly considered in the encoder, incorrect context information that violates the syntax structure may be integrated into source hidden states, leading to erroneous translations...
[ { "created": "Thu, 5 Sep 2019 09:17:37 GMT", "version": "v1" } ]
2019-09-06
[ [ "Wang", "Chengyi", "" ], [ "Wu", "Shuangzhi", "" ], [ "Liu", "Shujie", "" ] ]
Recently, Transformer has achieved the state-of-the-art performance on many machine translation tasks. However, without syntax knowledge explicitly considered in the encoder, incorrect context information that violates the syntax structure may be integrated into source hidden states, leading to erroneous translations. ...
1607.01284
Ruifeng Duan
Ruifeng Duan, Riku J\"antti, H\"useyin Yi\u{g}itler, and Kalle Ruttik
On the Achievable Rate of Bi-Static Modulated Re-Scatter Systems
5 pages, 3 figures, accepted
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In ambient re-scatter communications, devices convey information by modulating and re-scattering the radio frequency signals impinging on their antennas. In this correspondence, we consider a system consisting of a legacy modulated continuous carrier multiple-input-multiple-output (MIMO) link and a multi-antenna modu...
[ { "created": "Tue, 5 Jul 2016 14:54:14 GMT", "version": "v1" }, { "created": "Mon, 12 Jun 2017 13:19:10 GMT", "version": "v2" } ]
2017-06-13
[ [ "Duan", "Ruifeng", "" ], [ "Jäntti", "Riku", "" ], [ "Yiğitler", "Hüseyin", "" ], [ "Ruttik", "Kalle", "" ] ]
In ambient re-scatter communications, devices convey information by modulating and re-scattering the radio frequency signals impinging on their antennas. In this correspondence, we consider a system consisting of a legacy modulated continuous carrier multiple-input-multiple-output (MIMO) link and a multi-antenna modula...
1405.5202
Altaf Rahman
Altaf Rahman, Vincent Ng
Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution
null
Journal Of Artificial Intelligence Research, Volume 40, pages 469-521, 2011
10.1613/jair.3120
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair model is linguistically rather unappealing and lags far behind the heuristic-based coreference mod...
[ { "created": "Thu, 16 Jan 2014 05:06:09 GMT", "version": "v1" } ]
2014-05-21
[ [ "Rahman", "Altaf", "" ], [ "Ng", "Vincent", "" ] ]
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair model is linguistically rather unappealing and lags far behind the heuristic-based coreference model...
1412.2716
Paul Ginsparg
Daniel T. Citron and Paul Ginsparg
Patterns of Text Reuse in a Scientific Corpus
6 pages, plus 10 pages of supplementary material. To appear in PNAS (online 8 Dec 2014)
null
10.1073/pnas.1415135111
null
cs.DL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the incidence of text "reuse" by researchers, via a systematic pairwise comparison of the text content of all articles deposited to arXiv.org from 1991--2012. We measure the global frequencies of three classes of text reuse, and measure how chronic text reuse is distributed among authors in the dataset. W...
[ { "created": "Mon, 8 Dec 2014 20:01:17 GMT", "version": "v1" } ]
2014-12-09
[ [ "Citron", "Daniel T.", "" ], [ "Ginsparg", "Paul", "" ] ]
We consider the incidence of text "reuse" by researchers, via a systematic pairwise comparison of the text content of all articles deposited to arXiv.org from 1991--2012. We measure the global frequencies of three classes of text reuse, and measure how chronic text reuse is distributed among authors in the dataset. We ...
2205.11107
Lara Scavuzzo
Lara Scavuzzo and Feng Yang Chen and Didier Ch\'etelat and Maxime Gasse and Andrea Lodi and Neil Yorke-Smith and Karen Aardal
Learning to branch with Tree MDPs
10 pages, 2 figures, plus supplementary material
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by-nc-sa/4.0/
State-of-the-art Mixed Integer Linear Program (MILP) solvers combine systematic tree search with a plethora of hard-coded heuristics, such as the branching rule. The idea of learning branching rules from data has received increasing attention recently, and promising results have been obtained by learning fast approxi...
[ { "created": "Mon, 23 May 2022 07:57:32 GMT", "version": "v1" }, { "created": "Tue, 31 May 2022 11:05:56 GMT", "version": "v2" }, { "created": "Thu, 13 Oct 2022 13:37:42 GMT", "version": "v3" } ]
2022-10-14
[ [ "Scavuzzo", "Lara", "" ], [ "Chen", "Feng Yang", "" ], [ "Chételat", "Didier", "" ], [ "Gasse", "Maxime", "" ], [ "Lodi", "Andrea", "" ], [ "Yorke-Smith", "Neil", "" ], [ "Aardal", "Karen", "" ] ]
State-of-the-art Mixed Integer Linear Program (MILP) solvers combine systematic tree search with a plethora of hard-coded heuristics, such as the branching rule. The idea of learning branching rules from data has received increasing attention recently, and promising results have been obtained by learning fast approxima...
2209.12413
P B Sujit Dr
Kasi Vishwanath, P.B. Sujit and Srikanth Saripalli
CAMEL: Learning Cost-maps Made Easy for Off-road Driving
null
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
Cost-maps are used by robotic vehicles to plan collision-free paths. The cost associated with each cell in the map represents the sensed environment information which is often determined manually after several trial-and-error efforts. In off-road environments, due to the presence of several types of features, it is c...
[ { "created": "Mon, 26 Sep 2022 04:37:03 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 08:07:59 GMT", "version": "v2" } ]
2022-10-19
[ [ "Vishwanath", "Kasi", "" ], [ "Sujit", "P. B.", "" ], [ "Saripalli", "Srikanth", "" ] ]
Cost-maps are used by robotic vehicles to plan collision-free paths. The cost associated with each cell in the map represents the sensed environment information which is often determined manually after several trial-and-error efforts. In off-road environments, due to the presence of several types of features, it is cha...
1303.2764
Lin Na
Na Lin, Hong-Dong Liu, Chang-Qing Gong
Research and Simulation on Drivers' Route Choice Behavior Cognition Model
6 pages,8 figures,a table
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/3.0/
This paper studied the behavior-cognitive model of drivers during their travel based on the current research on driver behavior. Firstly, a route choice behavior-cognitive model was proposed for describing the decision-making mechanism of drivers during his travel; then, simulation experiments were carried out on the...
[ { "created": "Tue, 12 Mar 2013 02:59:15 GMT", "version": "v1" } ]
2013-03-13
[ [ "Lin", "Na", "" ], [ "Liu", "Hong-Dong", "" ], [ "Gong", "Chang-Qing", "" ] ]
This paper studied the behavior-cognitive model of drivers during their travel based on the current research on driver behavior. Firstly, a route choice behavior-cognitive model was proposed for describing the decision-making mechanism of drivers during his travel; then, simulation experiments were carried out on the c...
1609.00559
Ted Pedersen
Bridget T. McInnes and Ted Pedersen
Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second--Order Vectors
10 pages, Appears in the Proceedings of the 16th Workshop on Biomedical Natural Language Processing (BioNLP-2017), August 2017, Vancouver, BC
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vector space methods that measure semantic similarity and relatedness often rely on distributional information such as co--occurrence frequencies or statistical measures of association to weight the importance of particular co--occurrences. In this paper, we extend these methods by incorporating a measure of semantic...
[ { "created": "Fri, 2 Sep 2016 11:44:17 GMT", "version": "v1" }, { "created": "Sat, 27 May 2017 00:23:06 GMT", "version": "v2" } ]
2017-05-30
[ [ "McInnes", "Bridget T.", "" ], [ "Pedersen", "Ted", "" ] ]
Vector space methods that measure semantic similarity and relatedness often rely on distributional information such as co--occurrence frequencies or statistical measures of association to weight the importance of particular co--occurrences. In this paper, we extend these methods by incorporating a measure of semantic s...
2301.11716
Phuong-Hang Le
Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab
Pre-training for Speech Translation: CTC Meets Optimal Transport
ICML 2023 (oral presentation). This version fixed URLs, updated affiliations & acknowledgements, and improved formatting
null
null
null
cs.CL cs.LG cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
The gap between speech and text modalities is a major challenge in speech-to-text translation (ST). Different methods have been proposed to reduce this gap, but most of them require architectural changes in ST training. In this work, we propose to mitigate this issue at the pre-training stage, requiring no change in ...
[ { "created": "Fri, 27 Jan 2023 14:03:09 GMT", "version": "v1" }, { "created": "Tue, 30 May 2023 09:06:22 GMT", "version": "v2" }, { "created": "Mon, 5 Jun 2023 11:44:02 GMT", "version": "v3" } ]
2023-06-06
[ [ "Le", "Phuong-Hang", "" ], [ "Gong", "Hongyu", "" ], [ "Wang", "Changhan", "" ], [ "Pino", "Juan", "" ], [ "Lecouteux", "Benjamin", "" ], [ "Schwab", "Didier", "" ] ]
The gap between speech and text modalities is a major challenge in speech-to-text translation (ST). Different methods have been proposed to reduce this gap, but most of them require architectural changes in ST training. In this work, we propose to mitigate this issue at the pre-training stage, requiring no change in th...
1804.07663
Andreas Steyven
Andreas Steyven, Emma Hart, Ben Paechter
An Investigation of Environmental Influence on the Benefits of Adaptation Mechanisms in Evolutionary Swarm Robotics
In GECCO 2017
null
10.1145/3071178.3071232
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness of each type of learning is not well understood. In this paper, we ad...
[ { "created": "Fri, 20 Apr 2018 15:13:47 GMT", "version": "v1" } ]
2018-04-23
[ [ "Steyven", "Andreas", "" ], [ "Hart", "Emma", "" ], [ "Paechter", "Ben", "" ] ]
A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness of each type of learning is not well understood. In this paper, we addr...
1306.0322
Hector Zenil
Hector Zenil, Fernando Soler-Toscano, Kamaludin Dingle and Ard A. Louis
Correlation of Automorphism Group Size and Topological Properties with Program-size Complexity Evaluations of Graphs and Complex Networks
15 2-column pages, 20 figures. Forthcoming in Physica A: Statistical Mechanics and its Applications
null
10.1016/j.physa.2014.02.060
null
cs.IT cs.CC cs.CG math.IT q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that numerical approximations of Kolmogorov complexity (K) applied to graph adjacency matrices capture some group-theoretic and topological properties of graphs and empirical networks ranging from metabolic to social networks. That K and the size of the group of automorphisms of a graph are correlated opens u...
[ { "created": "Mon, 3 Jun 2013 08:36:11 GMT", "version": "v1" }, { "created": "Mon, 17 Jun 2013 11:32:00 GMT", "version": "v2" }, { "created": "Sun, 23 Feb 2014 01:42:27 GMT", "version": "v3" } ]
2015-06-16
[ [ "Zenil", "Hector", "" ], [ "Soler-Toscano", "Fernando", "" ], [ "Dingle", "Kamaludin", "" ], [ "Louis", "Ard A.", "" ] ]
We show that numerical approximations of Kolmogorov complexity (K) applied to graph adjacency matrices capture some group-theoretic and topological properties of graphs and empirical networks ranging from metabolic to social networks. That K and the size of the group of automorphisms of a graph are correlated opens up ...
2307.01831
Shentong Mo
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nie{\ss}ner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Project Page: https://dit-3d.github.io/
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerful effectiveness in generating high-quality 2D images. However, it is still being determined whether the Transformer architecture performs equally well in 3D shape generation, as previous 3D diffusion methods mostly adopted the U-Net architecture...
[ { "created": "Tue, 4 Jul 2023 17:15:46 GMT", "version": "v1" } ]
2023-07-06
[ [ "Mo", "Shentong", "" ], [ "Xie", "Enze", "" ], [ "Chu", "Ruihang", "" ], [ "Yao", "Lewei", "" ], [ "Hong", "Lanqing", "" ], [ "Nießner", "Matthias", "" ], [ "Li", "Zhenguo", "" ] ]
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerful effectiveness in generating high-quality 2D images. However, it is still being determined whether the Transformer architecture performs equally well in 3D shape generation, as previous 3D diffusion methods mostly adopted the U-Net architecture. ...
2206.00564
Laurie Burchell
Laurie Burchell, Alexandra Birch, Kenneth Heafield
Exploring Diversity in Back Translation for Low-Resource Machine Translation
null
null
10.18653/v1/2022.deeplo-1.8
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Back translation is one of the most widely used methods for improving the performance of neural machine translation systems. Recent research has sought to enhance the effectiveness of this method by increasing the 'diversity' of the generated translations. We argue that the definitions and metrics used to quantify 'd...
[ { "created": "Wed, 1 Jun 2022 15:21:16 GMT", "version": "v1" } ]
2023-09-01
[ [ "Burchell", "Laurie", "" ], [ "Birch", "Alexandra", "" ], [ "Heafield", "Kenneth", "" ] ]
Back translation is one of the most widely used methods for improving the performance of neural machine translation systems. Recent research has sought to enhance the effectiveness of this method by increasing the 'diversity' of the generated translations. We argue that the definitions and metrics used to quantify 'div...
2207.01171
Alessandra Carneiro
Alessandra Carneiro and Lorena Nascimento and Mauricio Noernberg and Carmem Hara and Aurora Pozo
Portuguese Man-of-War Image Classification with Convolutional Neural Networks
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Portuguese man-of-war (PMW) is a gelatinous organism with long tentacles capable of causing severe burns, thus leading to negative impacts on human activities, such as tourism and fishing. There is a lack of information about the spatio-temporal dynamics of this species. Therefore, the use of alternative methods for ...
[ { "created": "Mon, 4 Jul 2022 03:06:45 GMT", "version": "v1" } ]
2022-07-05
[ [ "Carneiro", "Alessandra", "" ], [ "Nascimento", "Lorena", "" ], [ "Noernberg", "Mauricio", "" ], [ "Hara", "Carmem", "" ], [ "Pozo", "Aurora", "" ] ]
Portuguese man-of-war (PMW) is a gelatinous organism with long tentacles capable of causing severe burns, thus leading to negative impacts on human activities, such as tourism and fishing. There is a lack of information about the spatio-temporal dynamics of this species. Therefore, the use of alternative methods for co...
2107.13165
Kushal Chawla
Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale Lucas, Jonathan Gratch
Towards Emotion-Aware Agents For Negotiation Dialogues
Accepted at 9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021)
null
null
null
cs.HC cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy and conversational AI. To advance the development of such agents, we explore the prediction of two important subjective goals in a negotiati...
[ { "created": "Wed, 28 Jul 2021 04:42:36 GMT", "version": "v1" } ]
2021-07-29
[ [ "Chawla", "Kushal", "" ], [ "Clever", "Rene", "" ], [ "Ramirez", "Jaysa", "" ], [ "Lucas", "Gale", "" ], [ "Gratch", "Jonathan", "" ] ]
Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy and conversational AI. To advance the development of such agents, we explore the prediction of two important subjective goals in a negotiation...
1410.1237
Mahantesh Halappanavar
Hao Lu and Mahantesh Halappanavar and Ananth Kalyanaraman
Parallel Heuristics for Scalable Community Detection
Submitted to a journal
null
null
null
cs.SI cs.DC physics.soc-ph
http://creativecommons.org/licenses/publicdomain/
Community detection has become a fundamental operation in numerous graph-theoretic applications. It is used to reveal natural divisions that exist within real world networks without imposing prior size or cardinality constraints on the set of communities. Despite its potential for application, there is only limited s...
[ { "created": "Mon, 6 Oct 2014 01:54:15 GMT", "version": "v1" }, { "created": "Tue, 7 Oct 2014 01:01:12 GMT", "version": "v2" } ]
2014-10-08
[ [ "Lu", "Hao", "" ], [ "Halappanavar", "Mahantesh", "" ], [ "Kalyanaraman", "Ananth", "" ] ]
Community detection has become a fundamental operation in numerous graph-theoretic applications. It is used to reveal natural divisions that exist within real world networks without imposing prior size or cardinality constraints on the set of communities. Despite its potential for application, there is only limited sup...
1907.05016
Jing Li
Jing Li and Dongning Guo
On Analysis of the Bitcoin and Prism Backbone Protocols
null
null
null
null
cs.CR cs.DC cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bitcoin is a peer-to-peer payment system proposed by Nakamoto in 2008. Properties of the bitcoin backbone protocol have been investigated in some depth: the blockchain growth property quantifies the number of blocks added to the blockchain during any time intervals; the blockchain quality property ensures the honest ...
[ { "created": "Thu, 11 Jul 2019 06:35:05 GMT", "version": "v1" }, { "created": "Sun, 20 Oct 2019 01:10:42 GMT", "version": "v2" } ]
2019-10-22
[ [ "Li", "Jing", "" ], [ "Guo", "Dongning", "" ] ]
Bitcoin is a peer-to-peer payment system proposed by Nakamoto in 2008. Properties of the bitcoin backbone protocol have been investigated in some depth: the blockchain growth property quantifies the number of blocks added to the blockchain during any time intervals; the blockchain quality property ensures the honest mi...
1512.01872
Pranav Rajpurkar
Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Ng
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving
null
null
null
null
cs.HC cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While emerging deep-learning systems have outclassed knowledge-based approaches in many tasks, their application to detection tasks for autonomous technologies remains an open field for scientific exploration. Broadly, there are two major developmental bottlenecks: the unavailability of comprehensively labeled datase...
[ { "created": "Mon, 7 Dec 2015 01:34:23 GMT", "version": "v1" } ]
2015-12-08
[ [ "Rajpurkar", "Pranav", "" ], [ "Migimatsu", "Toki", "" ], [ "Kiske", "Jeff", "" ], [ "Cheng-Yue", "Royce", "" ], [ "Tandon", "Sameep", "" ], [ "Wang", "Tao", "" ], [ "Ng", "Andrew", "" ] ]
While emerging deep-learning systems have outclassed knowledge-based approaches in many tasks, their application to detection tasks for autonomous technologies remains an open field for scientific exploration. Broadly, there are two major developmental bottlenecks: the unavailability of comprehensively labeled datasets...
1803.09413
Sumita Mishra
Sachin Kumar, Sumita Mishra, Pooja Khanna, Pragya
Precision Sugarcane Monitoring Using SVM Classifier
This is a pre-print of an article published in [Procedia Computer Science 2017]
Procedia Computer Science,2017,vol.122,pp. 881-887
10.1016/j.procs.2017.11.450
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
India is agriculture based economy and sugarcane is one of the major crops produced in northern India. Productivity of sugarcane decreases due to inappropriate soil conditions and infections caused by various types of diseases , timely and accurate disease diagnosis, plays an important role towards optimizing crop yi...
[ { "created": "Mon, 26 Mar 2018 05:05:25 GMT", "version": "v1" } ]
2018-03-28
[ [ "Kumar", "Sachin", "" ], [ "Mishra", "Sumita", "" ], [ "Khanna", "Pooja", "" ], [ "Pragya", "", "" ] ]
India is agriculture based economy and sugarcane is one of the major crops produced in northern India. Productivity of sugarcane decreases due to inappropriate soil conditions and infections caused by various types of diseases , timely and accurate disease diagnosis, plays an important role towards optimizing crop yiel...
2402.14162
Minh-Hao Van
Minh-Hao Van, Prateek Verma, Xintao Wu
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data. Visual language models (VLMs), such as LLaVA, Flamingo, or CLIP, have demonstrated impressive performance on vario...
[ { "created": "Wed, 21 Feb 2024 23:01:38 GMT", "version": "v1" } ]
2024-02-23
[ [ "Van", "Minh-Hao", "" ], [ "Verma", "Prateek", "" ], [ "Wu", "Xintao", "" ] ]
Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data. Visual language models (VLMs), such as LLaVA, Flamingo, or CLIP, have demonstrated impressive performance on various...
2312.07381
Hallee Wong
Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V. Dalca
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Accepted by ECCV 2024. Project Website: https://scribbleprompt.csail.mit.edu Keywords: Interactive Segmentation, Medical Imaging, Segment Anything Model, SAM, Scribble Annotations, Prompt
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biomedical image segmentation is a crucial part of both scientific research and clinical care. With enough labelled data, deep learning models can be trained to accurately automate specific biomedical image segmentation tasks. However, manually segmenting images to create training data is highly labor intensive and r...
[ { "created": "Tue, 12 Dec 2023 15:57:03 GMT", "version": "v1" }, { "created": "Fri, 12 Apr 2024 20:41:14 GMT", "version": "v2" }, { "created": "Tue, 16 Jul 2024 21:21:42 GMT", "version": "v3" } ]
2024-07-18
[ [ "Wong", "Hallee E.", "" ], [ "Rakic", "Marianne", "" ], [ "Guttag", "John", "" ], [ "Dalca", "Adrian V.", "" ] ]
Biomedical image segmentation is a crucial part of both scientific research and clinical care. With enough labelled data, deep learning models can be trained to accurately automate specific biomedical image segmentation tasks. However, manually segmenting images to create training data is highly labor intensive and req...
1712.06897
Jie Lyu
Jie Lyu, Zejian Yuan, Dapeng Chen
Learning Fixation Point Strategy for Object Detection and Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel recurrent attentional structure to localize and recognize objects jointly. The network can learn to extract a sequence of local observations with detailed appearance and rough context, instead of sliding windows or convolutions on the entire image. Meanwhile, those observations are fused to complet...
[ { "created": "Tue, 19 Dec 2017 12:28:01 GMT", "version": "v1" } ]
2017-12-20
[ [ "Lyu", "Jie", "" ], [ "Yuan", "Zejian", "" ], [ "Chen", "Dapeng", "" ] ]
We propose a novel recurrent attentional structure to localize and recognize objects jointly. The network can learn to extract a sequence of local observations with detailed appearance and rough context, instead of sliding windows or convolutions on the entire image. Meanwhile, those observations are fused to complete ...
2310.14162
Rohan Gupta
Rohan Gupta
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data
5 pages
null
null
null
cs.CV cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
In recent years, end to end steering prediction for autonomous vehicles has become a major area of research. The primary method for achieving end to end steering was to use computer vision models on a live feed of video data. However, to further increase accuracy, many companies have added data from light detection a...
[ { "created": "Sun, 22 Oct 2023 03:24:53 GMT", "version": "v1" } ]
2023-10-24
[ [ "Gupta", "Rohan", "" ] ]
In recent years, end to end steering prediction for autonomous vehicles has become a major area of research. The primary method for achieving end to end steering was to use computer vision models on a live feed of video data. However, to further increase accuracy, many companies have added data from light detection and...
1309.6455
Gwen Spencer PhD
Gwen Spencer and Richard Howarth
Maximizing the Spread of Stable Influence: Leveraging Norm-driven Moral-Motivation for Green Behavior Change in Networks
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an effort to understand why individuals choose to participate in personally-expensive pro-environmental behaviors, environmental and behavioral economists have examined a moral-motivation model in which the decision to adopt a pro-environmental behavior depends on the society-wide market share of that behavior. An...
[ { "created": "Wed, 25 Sep 2013 10:30:57 GMT", "version": "v1" } ]
2013-09-26
[ [ "Spencer", "Gwen", "" ], [ "Howarth", "Richard", "" ] ]
In an effort to understand why individuals choose to participate in personally-expensive pro-environmental behaviors, environmental and behavioral economists have examined a moral-motivation model in which the decision to adopt a pro-environmental behavior depends on the society-wide market share of that behavior. An i...
2305.02309
Erik Nijkamp Dr.
Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have demonstrated remarkable abilities in representation learning for program synthesis and understanding tasks. The quality of the learned representations appears to be dictated by the neural scaling laws as a function of the number of model parameters and observations, while imposing up...
[ { "created": "Wed, 3 May 2023 17:55:25 GMT", "version": "v1" }, { "created": "Tue, 11 Jul 2023 21:11:23 GMT", "version": "v2" } ]
2023-07-13
[ [ "Nijkamp", "Erik", "" ], [ "Hayashi", "Hiroaki", "" ], [ "Xiong", "Caiming", "" ], [ "Savarese", "Silvio", "" ], [ "Zhou", "Yingbo", "" ] ]
Large language models (LLMs) have demonstrated remarkable abilities in representation learning for program synthesis and understanding tasks. The quality of the learned representations appears to be dictated by the neural scaling laws as a function of the number of model parameters and observations, while imposing uppe...
2007.03338
Mehdi Ghatee Dr.
Marzieh Heidari, Mehdi Ghatee, Ahmad Nickabadi, Arash Pourhasan Nezhad
Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
13 pages, 4 figures and 5 tables, extracted from an MSc thesis in the Amirkabir University of Technology, Tehran, Iran
Concurrency and Computation: Practice and Experience, 2022
10.1002/cpe.6866
null
cs.CV cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With great advances in vision and natural language processing, the generation of image captions becomes a need. In a recent paper, Mathews, Xie and He [1], extended a new model to generate styled captions by separating semantics and style. In continuation of this work, here a new captioning model is developed includi...
[ { "created": "Tue, 7 Jul 2020 11:00:27 GMT", "version": "v1" } ]
2022-02-03
[ [ "Heidari", "Marzieh", "" ], [ "Ghatee", "Mehdi", "" ], [ "Nickabadi", "Ahmad", "" ], [ "Nezhad", "Arash Pourhasan", "" ] ]
With great advances in vision and natural language processing, the generation of image captions becomes a need. In a recent paper, Mathews, Xie and He [1], extended a new model to generate styled captions by separating semantics and style. In continuation of this work, here a new captioning model is developed including...
1905.03919
Filippo Menczer
Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers
28 pages, 11 figures. Forthcoming in Journal of Computational Social Science
J Comput Soc Sc (2020)
10.1007/s42001-020-00084-7
null
cs.CY cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study the conditions in which such echo chambers emerge by introducing a simple model...
[ { "created": "Fri, 10 May 2019 03:08:23 GMT", "version": "v1" }, { "created": "Mon, 20 May 2019 16:40:50 GMT", "version": "v2" }, { "created": "Tue, 25 Aug 2020 02:27:40 GMT", "version": "v3" } ]
2020-09-15
[ [ "Sasahara", "Kazutoshi", "" ], [ "Chen", "Wen", "" ], [ "Peng", "Hao", "" ], [ "Ciampaglia", "Giovanni Luca", "" ], [ "Flammini", "Alessandro", "" ], [ "Menczer", "Filippo", "" ] ]
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study the conditions in which such echo chambers emerge by introducing a simple model o...
1702.07478
Igor Tarasyuk
Igor V. Tarasyuk, Hermenegilda Maci\`a, Valent\'in Valero
Stochastic equivalence for performance analysis of concurrent systems in dtsiPBC
Prepared for submission to Discrete Mathematics and Theoretical Computer Science
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an extension with immediate multiactions of discrete time stochastic Petri Box Calculus (dtsPBC), presented by I.V. Tarasyuk. The resulting algebra dtsiPBC is a discrete time analogue of stochastic Petri Box Calculus (sPBC) with immediate multiactions, designed by H. Maci\`a, V. Valero et al. within a cont...
[ { "created": "Fri, 24 Feb 2017 07:07:24 GMT", "version": "v1" } ]
2017-02-27
[ [ "Tarasyuk", "Igor V.", "" ], [ "Macià", "Hermenegilda", "" ], [ "Valero", "Valentín", "" ] ]
We propose an extension with immediate multiactions of discrete time stochastic Petri Box Calculus (dtsPBC), presented by I.V. Tarasyuk. The resulting algebra dtsiPBC is a discrete time analogue of stochastic Petri Box Calculus (sPBC) with immediate multiactions, designed by H. Maci\`a, V. Valero et al. within a contin...
1810.01966
Ekram Hossain
Mohammad Salehi, Hina Tabassum, and Ekram Hossain
Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We characterize the accuracy of analyzing the performance of a NOMA system where users are ranked according to their distances instead of instantaneous channel gains, i.e., product of distance-based path-loss and fading channel gains. Distance-based ranking is analytically tractable and can lead to important insights...
[ { "created": "Wed, 3 Oct 2018 20:50:32 GMT", "version": "v1" } ]
2018-10-05
[ [ "Salehi", "Mohammad", "" ], [ "Tabassum", "Hina", "" ], [ "Hossain", "Ekram", "" ] ]
We characterize the accuracy of analyzing the performance of a NOMA system where users are ranked according to their distances instead of instantaneous channel gains, i.e., product of distance-based path-loss and fading channel gains. Distance-based ranking is analytically tractable and can lead to important insights. ...
1203.0587
Alex Brik
Alex Brik, Jeffrey B. Remmel
Expressing Preferences using Preference Set Constraint Atoms
9 pages
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces an extension of Answer Set Programming called Preference Set Constraint Programming which is a convenient and general formalism to reason with preferences. PSC programming extends Set Constraint Programming introduced by Marek and Remmel (Marek and Remmel 2004) by introducing two types of prefer...
[ { "created": "Fri, 2 Mar 2012 23:25:07 GMT", "version": "v1" } ]
2012-03-06
[ [ "Brik", "Alex", "" ], [ "Remmel", "Jeffrey B.", "" ] ]
This paper introduces an extension of Answer Set Programming called Preference Set Constraint Programming which is a convenient and general formalism to reason with preferences. PSC programming extends Set Constraint Programming introduced by Marek and Remmel (Marek and Remmel 2004) by introducing two types of preferen...
1711.09008
Yuming Jiang
Atef Abdelkefi and Yuming Jiang and Sachin Sharma
SENATUS: An Approach to Joint Traffic Anomaly Detection and Root Cause Analysis
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel approach, called SENATUS, for joint traffic anomaly detection and root-cause analysis. Inspired from the concept of a senate, the key idea of the proposed approach is divided into three stages: election, voting and decision. At the election stage, a small number of \nop{traffic flow ...
[ { "created": "Fri, 24 Nov 2017 15:14:50 GMT", "version": "v1" } ]
2017-11-27
[ [ "Abdelkefi", "Atef", "" ], [ "Jiang", "Yuming", "" ], [ "Sharma", "Sachin", "" ] ]
In this paper, we propose a novel approach, called SENATUS, for joint traffic anomaly detection and root-cause analysis. Inspired from the concept of a senate, the key idea of the proposed approach is divided into three stages: election, voting and decision. At the election stage, a small number of \nop{traffic flow se...
1602.03599
EPTCS
Juliana Franco (Imperial College London), Sophia Drossopoulou (Imperial College London)
Behavioural types for non-uniform memory accesses
In Proceedings PLACES 2015, arXiv:1602.03254
EPTCS 203, 2016, pp. 109-120
10.4204/EPTCS.203.9
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Concurrent programs executing on NUMA architectures consist of concurrent entities (e.g. threads, actors) and data placed on different nodes. Execution of these concurrent entities often reads or updates states from remote nodes. The performance of such systems depends on the extent to which the concurrent entities c...
[ { "created": "Thu, 11 Feb 2016 01:21:09 GMT", "version": "v1" } ]
2016-02-12
[ [ "Franco", "Juliana", "", "Imperial College London" ], [ "Drossopoulou", "Sophia", "", "Imperial College London" ] ]
Concurrent programs executing on NUMA architectures consist of concurrent entities (e.g. threads, actors) and data placed on different nodes. Execution of these concurrent entities often reads or updates states from remote nodes. The performance of such systems depends on the extent to which the concurrent entities can...
2105.03655
Huy Ha
Huy Ha, Shuran Song
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
11 pages, 6 figures. Code, data, and simulation environment publicly available at https://flingbot.cs.columbia.edu
Conference on Robot Learning (CoRL 2021)
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-velocity dynamic actions (e.g., fling or throw) play a crucial role in our everyday interaction with deformable objects by improving our efficiency and effectively expanding our physical reach range. Yet, most prior works have tackled cloth manipulation using exclusively single-arm quasi-static actions, which re...
[ { "created": "Sat, 8 May 2021 09:48:15 GMT", "version": "v1" }, { "created": "Tue, 29 Jun 2021 05:47:27 GMT", "version": "v2" }, { "created": "Mon, 18 Oct 2021 19:03:27 GMT", "version": "v3" } ]
2021-10-20
[ [ "Ha", "Huy", "" ], [ "Song", "Shuran", "" ] ]
High-velocity dynamic actions (e.g., fling or throw) play a crucial role in our everyday interaction with deformable objects by improving our efficiency and effectively expanding our physical reach range. Yet, most prior works have tackled cloth manipulation using exclusively single-arm quasi-static actions, which requ...
2405.16091
Myong Chol Jung
Myong Chol Jung, He Zhao, Joanna Dipnall, Belinda Gabbe, Lan Du
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Prompt learning has shown to be an efficient and effective fine-tuning method for vision-language models like CLIP. While numerous studies have focused on the generalisation of these models in few-shot classification, their capability in near out-of-distribution (OOD) detection has been overlooked. A few recent works...
[ { "created": "Sat, 25 May 2024 06:46:16 GMT", "version": "v1" } ]
2024-05-28
[ [ "Jung", "Myong Chol", "" ], [ "Zhao", "He", "" ], [ "Dipnall", "Joanna", "" ], [ "Gabbe", "Belinda", "" ], [ "Du", "Lan", "" ] ]
Prompt learning has shown to be an efficient and effective fine-tuning method for vision-language models like CLIP. While numerous studies have focused on the generalisation of these models in few-shot classification, their capability in near out-of-distribution (OOD) detection has been overlooked. A few recent works h...
1401.3682
Minglai Cai
Holger Boche, Minglai Cai, and Christian Deppe
Broadcast Classical-Quantum Capacity Region of Two-Phase Bidirectional Relaying Channel
null
Quantum Information Processing: Volume 14, Issue 10 (2015), Page 3879-3897
10.1007/s11128-015-1065-2
null
cs.IT math.IT math.QA quant-ph
http://creativecommons.org/licenses/by/4.0/
We study a three-node quantum network which enables bidirectional communication between two nodes with a half-duplex relay node. A decode-and-forward protocol is used to perform the communication in two phases. In the first phase, the messages of two nodes are transmitted to the relay node. In the second phase, the r...
[ { "created": "Wed, 15 Jan 2014 17:29:23 GMT", "version": "v1" }, { "created": "Tue, 21 Jan 2014 10:27:07 GMT", "version": "v2" }, { "created": "Mon, 27 Jul 2015 13:02:18 GMT", "version": "v3" }, { "created": "Mon, 28 Sep 2015 15:23:00 GMT", "version": "v4" } ]
2015-09-29
[ [ "Boche", "Holger", "" ], [ "Cai", "Minglai", "" ], [ "Deppe", "Christian", "" ] ]
We study a three-node quantum network which enables bidirectional communication between two nodes with a half-duplex relay node. A decode-and-forward protocol is used to perform the communication in two phases. In the first phase, the messages of two nodes are transmitted to the relay node. In the second phase, the rel...
2306.01996
Han Wang
Han Wang, Ming Tang, Ke Xu, Quancheng Wang
BandwidthBreach: Unleashing Covert and Side Channels through Cache Bandwidth Exploitation
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the modern CPU architecture, enhancements such as the Line Fill Buffer (LFB) and Super Queue (SQ), which are designed to track pending cache requests, have significantly boosted performance. To exploit this structures, we deliberately engineered blockages in the L2 to L1d route by controlling LFB conflict and trig...
[ { "created": "Sat, 3 Jun 2023 04:09:07 GMT", "version": "v1" } ]
2023-06-06
[ [ "Wang", "Han", "" ], [ "Tang", "Ming", "" ], [ "Xu", "Ke", "" ], [ "Wang", "Quancheng", "" ] ]
In the modern CPU architecture, enhancements such as the Line Fill Buffer (LFB) and Super Queue (SQ), which are designed to track pending cache requests, have significantly boosted performance. To exploit this structures, we deliberately engineered blockages in the L2 to L1d route by controlling LFB conflict and trigge...
2108.06832
Sanjiang Li
Xueqing Yan, Yongming Li, Sanjiang Li
A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand
32 pages, 3 figures
null
null
null
cs.AI cs.DM cs.MA
http://creativecommons.org/licenses/by/4.0/
The tile-based multiplayer game Mahjong is widely played in Asia and has also become increasingly popular worldwide. Face-to-face or online, each player begins with a hand of 13 tiles and players draw and discard tiles in turn until they complete a winning hand. An important notion in Mahjong is the deficiency number...
[ { "created": "Sun, 15 Aug 2021 22:44:14 GMT", "version": "v1" } ]
2021-08-17
[ [ "Yan", "Xueqing", "" ], [ "Li", "Yongming", "" ], [ "Li", "Sanjiang", "" ] ]
The tile-based multiplayer game Mahjong is widely played in Asia and has also become increasingly popular worldwide. Face-to-face or online, each player begins with a hand of 13 tiles and players draw and discard tiles in turn until they complete a winning hand. An important notion in Mahjong is the deficiency number (...
1601.04952
Andrea Baronchelli
Vito Trianni, Daniele De Simone, Andreagiovanni Reina, Andrea Baronchelli
Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation
A supporting video is available here: https://mail.google.com/mail/u/0/#search/vito.trianni%40istc.cnr.it/15244cd6f27f0e99?projector=1
Robotics and Automation Letters, IEEE , vol.PP, no.99, pp.1 (2016)
10.1109/LRA.2016.2519537
null
cs.MA cs.RO cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game stands out for its simplicity and applicability to a wide range of phenomena and applications, from semiotics to engineering. Despite the wi...
[ { "created": "Tue, 19 Jan 2016 15:29:52 GMT", "version": "v1" } ]
2016-01-21
[ [ "Trianni", "Vito", "" ], [ "De Simone", "Daniele", "" ], [ "Reina", "Andreagiovanni", "" ], [ "Baronchelli", "Andrea", "" ] ]
Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game stands out for its simplicity and applicability to a wide range of phenomena and applications, from semiotics to engineering. Despite the wide...
1804.07419
Rafael Menelau Oliveira E Cruz
Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz and Robert Sabourin
An Ensemble Generation Method Based on Instance Hardness
Paper accepted for publication on IJCNN 2018
null
10.1109/IJCNN.2018.8489269
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Machine Learning, ensemble methods have been receiving a great deal of attention. Techniques such as Bagging and Boosting have been successfully applied to a variety of problems. Nevertheless, such techniques are still susceptible to the effects of noise and outliers in the training data. We propose a new method f...
[ { "created": "Fri, 20 Apr 2018 01:29:47 GMT", "version": "v1" }, { "created": "Mon, 30 Apr 2018 07:18:12 GMT", "version": "v2" } ]
2018-11-01
[ [ "Walmsley", "Felipe N.", "" ], [ "Cavalcanti", "George D. C.", "" ], [ "Oliveira", "Dayvid V. R.", "" ], [ "Cruz", "Rafael M. O.", "" ], [ "Sabourin", "Robert", "" ] ]
In Machine Learning, ensemble methods have been receiving a great deal of attention. Techniques such as Bagging and Boosting have been successfully applied to a variety of problems. Nevertheless, such techniques are still susceptible to the effects of noise and outliers in the training data. We propose a new method for...
2202.11423
Kailun Yang
Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions
Accepted to IEEE Transactions on Multimedia (TMM). Code is publicly available at https://github.com/KPeng9510/Trans4SOAR
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Occlusions are universal disruptions constantly present in the real world. Especially for sparse representations, such as human skeletons, a few occluded points might destroy the geometrical and temporal continuity critically affecting the results. Yet, the research of data-scarce recognition from skeleton sequences,...
[ { "created": "Wed, 23 Feb 2022 11:11:54 GMT", "version": "v1" }, { "created": "Wed, 13 Jul 2022 17:34:01 GMT", "version": "v2" }, { "created": "Mon, 9 Jan 2023 20:55:30 GMT", "version": "v3" } ]
2023-01-11
[ [ "Peng", "Kunyu", "" ], [ "Roitberg", "Alina", "" ], [ "Yang", "Kailun", "" ], [ "Zhang", "Jiaming", "" ], [ "Stiefelhagen", "Rainer", "" ] ]
Occlusions are universal disruptions constantly present in the real world. Especially for sparse representations, such as human skeletons, a few occluded points might destroy the geometrical and temporal continuity critically affecting the results. Yet, the research of data-scarce recognition from skeleton sequences, s...
1210.6192
Kasturika B Ray
Rachita Misra, Kasturika B ray
Textural Approach to Palmprint Identification
9 pages
http://www.ijascse.in/publications-2012--2
null
null
cs.CV cs.CR cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biometrics which use of human physiological characteristics for identifying an individual is now a widespread method of identification and authentication. Biometric identification is a technology which uses several image processing techniques and describes the general procedure for identification and verification usi...
[ { "created": "Tue, 23 Oct 2012 10:52:31 GMT", "version": "v1" } ]
2012-10-24
[ [ "Misra", "Rachita", "" ], [ "ray", "Kasturika B", "" ] ]
Biometrics which use of human physiological characteristics for identifying an individual is now a widespread method of identification and authentication. Biometric identification is a technology which uses several image processing techniques and describes the general procedure for identification and verification using...
2102.07312
Shoya Ishimaru
Shoya Ishimaru, Takanori Maruichi, Andreas Dengel and Koichi Kise
Confidence-Aware Learning Assistant
9 pages, 11 figures
null
null
null
cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Not only correctness but also self-confidence play an important role in improving the quality of knowledge. Undesirable situations such as confident incorrect and unconfident correct knowledge prevent learners from revising their knowledge because it is not always easy for them to perceive the situations. To solve th...
[ { "created": "Mon, 15 Feb 2021 02:47:11 GMT", "version": "v1" } ]
2021-02-16
[ [ "Ishimaru", "Shoya", "" ], [ "Maruichi", "Takanori", "" ], [ "Dengel", "Andreas", "" ], [ "Kise", "Koichi", "" ] ]
Not only correctness but also self-confidence play an important role in improving the quality of knowledge. Undesirable situations such as confident incorrect and unconfident correct knowledge prevent learners from revising their knowledge because it is not always easy for them to perceive the situations. To solve this...
1808.06075
Gehui Shen
Gehui Shen, Zhi-Hong Deng, Ting Huang and Xi Chen
Learning to Compose over Tree Structures via POS Tags
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sentence representation for a variety of NLP tasks. However, RecNN is born with a thorny problem that a shared compositional function for eac...
[ { "created": "Sat, 18 Aug 2018 11:53:24 GMT", "version": "v1" }, { "created": "Tue, 21 Aug 2018 01:57:49 GMT", "version": "v2" } ]
2018-08-22
[ [ "Shen", "Gehui", "" ], [ "Deng", "Zhi-Hong", "" ], [ "Huang", "Ting", "" ], [ "Chen", "Xi", "" ] ]
Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sentence representation for a variety of NLP tasks. However, RecNN is born with a thorny problem that a shared compositional function for each ...
2402.17766
Runpei Dong
Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
Accepted at ECCV 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM) designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. ShapeLLM is built upon an improved 3D encoder by extending ReCon to ReCon++ that benefits from multi-view image distilla...
[ { "created": "Tue, 27 Feb 2024 18:57:12 GMT", "version": "v1" }, { "created": "Wed, 6 Mar 2024 15:11:37 GMT", "version": "v2" }, { "created": "Fri, 12 Jul 2024 15:36:15 GMT", "version": "v3" } ]
2024-07-15
[ [ "Qi", "Zekun", "" ], [ "Dong", "Runpei", "" ], [ "Zhang", "Shaochen", "" ], [ "Geng", "Haoran", "" ], [ "Han", "Chunrui", "" ], [ "Ge", "Zheng", "" ], [ "Yi", "Li", "" ], [ "Ma", "Kaisheng", ...
This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM) designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. ShapeLLM is built upon an improved 3D encoder by extending ReCon to ReCon++ that benefits from multi-view image distillati...
2308.03774
Nick Zhang
Nick Zhang
Knowledge Consilience: One Culture, Two Cultures or Many Cultures?
null
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
The hostility between the two cultures, scientific and literary, was framed by C.P. Snow in 1959 and later by others. The scientific culture is nowadays often identified with STEM (Science, Technology, Engineering and Mathematics) whereas the literary culture generally refers to humanities and social sciences. Wilson...
[ { "created": "Sun, 30 Jul 2023 11:26:32 GMT", "version": "v1" } ]
2023-08-09
[ [ "Zhang", "Nick", "" ] ]
The hostility between the two cultures, scientific and literary, was framed by C.P. Snow in 1959 and later by others. The scientific culture is nowadays often identified with STEM (Science, Technology, Engineering and Mathematics) whereas the literary culture generally refers to humanities and social sciences. Wilson e...
2404.16587
Zhihao Zhu
Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen
Understanding Privacy Risks of Embeddings Induced by Large Language Models
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) show early signs of artificial general intelligence but struggle with hallucinations. One promising solution to mitigate these hallucinations is to store external knowledge as embeddings, aiding LLMs in retrieval-augmented generation. However, such a solution risks compromising privacy, a...
[ { "created": "Thu, 25 Apr 2024 13:10:48 GMT", "version": "v1" } ]
2024-04-26
[ [ "Zhu", "Zhihao", "" ], [ "Shao", "Ninglu", "" ], [ "Lian", "Defu", "" ], [ "Wu", "Chenwang", "" ], [ "Liu", "Zheng", "" ], [ "Yang", "Yi", "" ], [ "Chen", "Enhong", "" ] ]
Large language models (LLMs) show early signs of artificial general intelligence but struggle with hallucinations. One promising solution to mitigate these hallucinations is to store external knowledge as embeddings, aiding LLMs in retrieval-augmented generation. However, such a solution risks compromising privacy, as ...
2406.13474
Junhan Kim
Junhan Kim, Ho-young Kim, Eulrang Cho, Chungman Lee, Joonyoung Kim, Yongkweon Jeon
Attention-aware Post-training Quantization without Backpropagation
20 pages, under review
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Quantization is a promising solution for deploying large-scale language models (LLMs) on resource-constrained devices. Existing quantization approaches, however, rely on gradient-based optimization, regardless of it being post-training quantization (PTQ) or quantization-aware training (QAT), which becomes problematic...
[ { "created": "Wed, 19 Jun 2024 11:53:21 GMT", "version": "v1" } ]
2024-06-21
[ [ "Kim", "Junhan", "" ], [ "Kim", "Ho-young", "" ], [ "Cho", "Eulrang", "" ], [ "Lee", "Chungman", "" ], [ "Kim", "Joonyoung", "" ], [ "Jeon", "Yongkweon", "" ] ]
Quantization is a promising solution for deploying large-scale language models (LLMs) on resource-constrained devices. Existing quantization approaches, however, rely on gradient-based optimization, regardless of it being post-training quantization (PTQ) or quantization-aware training (QAT), which becomes problematic f...
2405.11471
Kento Uchida
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa
CMA-ES with Adaptive Reevaluation for Multiplicative Noise
This paper has been accepted as a full paper at GECCO2024
null
null
null
cs.NE
http://creativecommons.org/licenses/by-sa/4.0/
The covariance matrix adaptation evolution strategy (CMA-ES) is a powerful optimization method for continuous black-box optimization problems. Several noise-handling methods have been proposed to bring out the optimization performance of the CMA-ES on noisy objective functions. The adaptations of the population size ...
[ { "created": "Sun, 19 May 2024 07:42:10 GMT", "version": "v1" } ]
2024-05-21
[ [ "Uchida", "Kento", "" ], [ "Nishihara", "Kenta", "" ], [ "Shirakawa", "Shinichi", "" ] ]
The covariance matrix adaptation evolution strategy (CMA-ES) is a powerful optimization method for continuous black-box optimization problems. Several noise-handling methods have been proposed to bring out the optimization performance of the CMA-ES on noisy objective functions. The adaptations of the population size an...
2106.06272
Stefano Maria Nicoletti
Stefano M. Nicoletti, Marijn Peppelman, Christina Kolb, Mari\"elle Stoelinga
Model-based Joint Analysis of Safety and Security: Survey and Identification of Gaps
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We survey the state-of-the-art on model-based formalisms for safety and security joint analysis, where safety refers to the absence of unintended failures, and security to absence of malicious attacks. We conduct a thorough literature review and - as a result - we consider fourteen model-based formalisms and compare ...
[ { "created": "Fri, 11 Jun 2021 09:38:23 GMT", "version": "v1" }, { "created": "Wed, 19 Jan 2022 11:02:54 GMT", "version": "v2" }, { "created": "Mon, 23 Oct 2023 09:34:05 GMT", "version": "v3" } ]
2023-10-24
[ [ "Nicoletti", "Stefano M.", "" ], [ "Peppelman", "Marijn", "" ], [ "Kolb", "Christina", "" ], [ "Stoelinga", "Mariëlle", "" ] ]
We survey the state-of-the-art on model-based formalisms for safety and security joint analysis, where safety refers to the absence of unintended failures, and security to absence of malicious attacks. We conduct a thorough literature review and - as a result - we consider fourteen model-based formalisms and compare th...
2402.01296
Man-Jie Yuan
Man-Jie Yuan, Zheng Zou, Wei Gao
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
null
null
null
null
cs.LG cs.CR cs.CV
http://creativecommons.org/licenses/by/4.0/
Privacy-preserving neural networks have attracted increasing attention in recent years, and various algorithms have been developed to keep the balance between accuracy, computational complexity and information security from the cryptographic view. This work takes a different view from the input data and structure of ...
[ { "created": "Fri, 2 Feb 2024 10:35:05 GMT", "version": "v1" } ]
2024-02-05
[ [ "Yuan", "Man-Jie", "" ], [ "Zou", "Zheng", "" ], [ "Gao", "Wei", "" ] ]
Privacy-preserving neural networks have attracted increasing attention in recent years, and various algorithms have been developed to keep the balance between accuracy, computational complexity and information security from the cryptographic view. This work takes a different view from the input data and structure of ne...
0805.4219
Grenville Croll
Andrew Hawker
Building Financial Accuracy into Spreadsheets
6 Pages
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2000 35-40 ISBN:1 86166 158 4
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Students learning how to apply spreadsheets to accounting problems are not always well served by the built-in financial functions. Problems can arise because of differences between UK and US practice, through anomalies in the functions themselves, and because the promptings of Wizards' engender an attitude of filling...
[ { "created": "Tue, 27 May 2008 21:11:48 GMT", "version": "v1" } ]
2008-05-29
[ [ "Hawker", "Andrew", "" ] ]
Students learning how to apply spreadsheets to accounting problems are not always well served by the built-in financial functions. Problems can arise because of differences between UK and US practice, through anomalies in the functions themselves, and because the promptings of Wizards' engender an attitude of filling i...
2209.07749
Diana Negoescu
Diana M. Negoescu, Pasha Khosravi, Shadow Zhao, Nanyu Chen, Parvez Ahammad, Humberto Gonzalez
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
Accepted at REVEAL'22 Workshop (16th ACM Conference on Recommender Systems - RecSys 2022)
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Training models on data obtained from randomized experiments is ideal for making good decisions. However, randomized experiments are often time-consuming, expensive, risky, infeasible or unethical to perform, leaving decision makers little choice but to rely on observational data collected under historical policies w...
[ { "created": "Fri, 16 Sep 2022 07:08:37 GMT", "version": "v1" } ]
2022-09-19
[ [ "Negoescu", "Diana M.", "" ], [ "Khosravi", "Pasha", "" ], [ "Zhao", "Shadow", "" ], [ "Chen", "Nanyu", "" ], [ "Ahammad", "Parvez", "" ], [ "Gonzalez", "Humberto", "" ] ]
Training models on data obtained from randomized experiments is ideal for making good decisions. However, randomized experiments are often time-consuming, expensive, risky, infeasible or unethical to perform, leaving decision makers little choice but to rely on observational data collected under historical policies whe...
2210.05791
Shalaleh Rismani
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
null
null
null
null
cs.HC cs.GL
http://creativecommons.org/licenses/by/4.0/
Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the prospect of incorporating controls to help minimize harms that emerge from the interplay of technologies and social and cultural dynamics. A g...
[ { "created": "Tue, 11 Oct 2022 21:22:30 GMT", "version": "v1" }, { "created": "Thu, 9 Feb 2023 03:31:48 GMT", "version": "v2" }, { "created": "Wed, 19 Jul 2023 02:56:32 GMT", "version": "v3" } ]
2023-07-21
[ [ "Shelby", "Renee", "" ], [ "Rismani", "Shalaleh", "" ], [ "Henne", "Kathryn", "" ], [ "Moon", "AJung", "" ], [ "Rostamzadeh", "Negar", "" ], [ "Nicholas", "Paul", "" ], [ "Yilla", "N'Mah", "" ], [ "...
Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the prospect of incorporating controls to help minimize harms that emerge from the interplay of technologies and social and cultural dynamics. A gro...
2112.00270
Jamison Ebert
Vamsi K. Amalladinne, Jamison R. Ebert, Jean-Francois Chamberland, and Krishna R. Narayanan
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
Submitted to MDPI Sensors
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Unsourced random access (URA) has emerged as a pragmatic framework for next-generation distributed sensor networks. Within URA, concatenated coding structures are often employed to ensure that the central base station can accurately recover the set of sent codewords during a given transmission period. Many URA algori...
[ { "created": "Wed, 1 Dec 2021 04:30:30 GMT", "version": "v1" } ]
2021-12-02
[ [ "Amalladinne", "Vamsi K.", "" ], [ "Ebert", "Jamison R.", "" ], [ "Chamberland", "Jean-Francois", "" ], [ "Narayanan", "Krishna R.", "" ] ]
Unsourced random access (URA) has emerged as a pragmatic framework for next-generation distributed sensor networks. Within URA, concatenated coding structures are often employed to ensure that the central base station can accurately recover the set of sent codewords during a given transmission period. Many URA algorith...
1102.4121
EPTCS
Laurent Doyen (LSV, ENS Cachan & CNRS, France), Thierry Massart (Universit\'e Libre de Bruxelles, Belgium), Mahsa Shirmohammadi (Universit\'e Libre de Bruxelles, Belgium)
Synchronizing Objectives for Markov Decision Processes
In Proceedings iWIGP 2011, arXiv:1102.3741
EPTCS 50, 2011, pp. 61-75
10.4204/EPTCS.50.5
null
cs.LO cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce synchronizing objectives for Markov decision processes (MDP). Intuitively, a synchronizing objective requires that eventually, at every step there is a state which concentrates almost all the probability mass. In particular, it implies that the probabilistic system behaves in the long run like a determin...
[ { "created": "Mon, 21 Feb 2011 02:30:55 GMT", "version": "v1" } ]
2011-02-22
[ [ "Doyen", "Laurent", "", "LSV, ENS Cachan & CNRS, France" ], [ "Massart", "Thierry", "", "Université Libre de Bruxelles, Belgium" ], [ "Shirmohammadi", "Mahsa", "", "Université\n Libre de Bruxelles, Belgium" ] ]
We introduce synchronizing objectives for Markov decision processes (MDP). Intuitively, a synchronizing objective requires that eventually, at every step there is a state which concentrates almost all the probability mass. In particular, it implies that the probabilistic system behaves in the long run like a determinis...
cs/0510044
Andrea Montanari
Andrea Montanari, Balaji Prabhakar, David Tse
Belief Propagation Based Multi--User Detection
9 pages, 4 eps figures. Forty-third Allerton Conference on Communications, Control and Computing, invited paper
null
null
null
cs.IT math.IT
null
We apply belief propagation (BP) to multi--user detection in a spread spectrum system, under the assumption of Gaussian symbols. We prove that BP is both convergent and allows to estimate the correct conditional expectation of the input symbols. It is therefore an optimal --minimum mean square error-- detection algor...
[ { "created": "Sun, 16 Oct 2005 16:05:31 GMT", "version": "v1" }, { "created": "Mon, 22 May 2006 10:56:18 GMT", "version": "v2" } ]
2007-07-13
[ [ "Montanari", "Andrea", "" ], [ "Prabhakar", "Balaji", "" ], [ "Tse", "David", "" ] ]
We apply belief propagation (BP) to multi--user detection in a spread spectrum system, under the assumption of Gaussian symbols. We prove that BP is both convergent and allows to estimate the correct conditional expectation of the input symbols. It is therefore an optimal --minimum mean square error-- detection algorit...
2003.12299
Youngjae Yu
Youngjae Yu, Seunghwan Lee, Yuncheol Choi, Gunhee Kim
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
4 pages, 4 figures, ICCV 2019 Linguistics Meets image and video retrieval workshop, Fashion IQ challenge
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach named CurlingNet that can measure the semantic distance of composition of image-text embedding. In order to learn an effective image-text composition for the data in the fashion domain, our model proposes two key components as follows. First, the Delivery makes the transition of a source image ...
[ { "created": "Fri, 27 Mar 2020 09:36:32 GMT", "version": "v1" }, { "created": "Mon, 30 Mar 2020 04:35:16 GMT", "version": "v2" } ]
2020-03-31
[ [ "Yu", "Youngjae", "" ], [ "Lee", "Seunghwan", "" ], [ "Choi", "Yuncheol", "" ], [ "Kim", "Gunhee", "" ] ]
We present an approach named CurlingNet that can measure the semantic distance of composition of image-text embedding. In order to learn an effective image-text composition for the data in the fashion domain, our model proposes two key components as follows. First, the Delivery makes the transition of a source image in...
1309.4035
Peter Turney
Peter D. Turney
Domain and Function: A Dual-Space Model of Semantic Relations and Compositions
null
Journal of Artificial Intelligence Research (JAIR), (2012), 44, 533-585
10.1613/jair.3640
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given appropriate representations of the semantic relations between carpenter and wood and between mason and stone (for example, vectors in a vector space model), a suitable algorithm should be able to recognize that these relations are highly similar (carpenter is to wood as mason is to stone; the relations are anal...
[ { "created": "Mon, 16 Sep 2013 16:51:02 GMT", "version": "v1" } ]
2013-09-17
[ [ "Turney", "Peter D.", "" ] ]
Given appropriate representations of the semantic relations between carpenter and wood and between mason and stone (for example, vectors in a vector space model), a suitable algorithm should be able to recognize that these relations are highly similar (carpenter is to wood as mason is to stone; the relations are analog...
2004.00794
Zhonghao Wang
Zhonghao Wang, Yunchao Wei, Rogerior Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Humphrey Shi
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
CVPRW 2020
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning segmentation from synthetic data and adapting to real data can significantly relieve human efforts in labelling pixel-level masks. A key challenge of this task is how to alleviate the data distribution discrepancy between the source and target domains, i.e. reducing domain shift. The common approach to this ...
[ { "created": "Thu, 2 Apr 2020 03:25:05 GMT", "version": "v1" }, { "created": "Tue, 9 Jun 2020 22:38:27 GMT", "version": "v2" } ]
2020-06-11
[ [ "Wang", "Zhonghao", "" ], [ "Wei", "Yunchao", "" ], [ "Feris", "Rogerior", "" ], [ "Xiong", "Jinjun", "" ], [ "Hwu", "Wen-Mei", "" ], [ "Huang", "Thomas S.", "" ], [ "Shi", "Humphrey", "" ] ]
Learning segmentation from synthetic data and adapting to real data can significantly relieve human efforts in labelling pixel-level masks. A key challenge of this task is how to alleviate the data distribution discrepancy between the source and target domains, i.e. reducing domain shift. The common approach to this pr...
1707.03642
Longfei Zhou
L. Zhou, L. Zheng, X. Wang, W. Jiang, and W. Luo
Coordinated Multicell Multicast Beamforming Based on Manifold Optimization
This paper is already available in IEEE Commmunication Letter. See http://ieeexplore.ieee.org/document/7898517/
null
10.1109/LCOMM.2017.2693374
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this paper, the coordinated downlink multicast beamforming design in multicell networks is considered. The goal is to maximize the minimum signal-to-interference-plus-noise r...
[ { "created": "Wed, 12 Jul 2017 10:56:50 GMT", "version": "v1" } ]
2017-07-13
[ [ "Zhou", "L.", "" ], [ "Zheng", "L.", "" ], [ "Wang", "X.", "" ], [ "Jiang", "W.", "" ], [ "Luo", "W.", "" ] ]
Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this paper, the coordinated downlink multicast beamforming design in multicell networks is considered. The goal is to maximize the minimum signal-to-interference-plus-noise rat...
1703.07384
Vishal Jain
Vishal Jain and Dr. Mayank Singh
Ontology Based Pivoted normalization using Vector Based Approach for information Retrieval
null
7th International Conference on Advanced Computing and Communication Technologies, 16th November, 2013
null
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The proposed methodology is procedural i.e. it follows finite number of steps that extracts relevant documents according to users query. It is based on principles of Data Mining for analyzing web data. Data Mining first adapts integration of data to generate warehouse. Then, it extracts useful information with the he...
[ { "created": "Tue, 21 Mar 2017 18:34:34 GMT", "version": "v1" } ]
2017-03-23
[ [ "Jain", "Vishal", "" ], [ "Singh", "Dr. Mayank", "" ] ]
The proposed methodology is procedural i.e. it follows finite number of steps that extracts relevant documents according to users query. It is based on principles of Data Mining for analyzing web data. Data Mining first adapts integration of data to generate warehouse. Then, it extracts useful information with the help...
2312.10273
Rui Jin
Rui Jin, Yong Liao, and Pengyuan Zhou
User Authentication and Identity Inconsistency Detection via Mouse-trajectory Similarity Measurement
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Completely Automated Public Turing Test To Tell Computers and Humans Apart (CAPTCHA) is a type of challenge-response test widely used in authentication systems. A well-known challenge it faces is the CAPTCHA farm, where workers are hired to solve CAPTCHAs manually. In this work, we propose to tackle this challenge fr...
[ { "created": "Sat, 16 Dec 2023 00:28:10 GMT", "version": "v1" } ]
2023-12-19
[ [ "Jin", "Rui", "" ], [ "Liao", "Yong", "" ], [ "Zhou", "Pengyuan", "" ] ]
Completely Automated Public Turing Test To Tell Computers and Humans Apart (CAPTCHA) is a type of challenge-response test widely used in authentication systems. A well-known challenge it faces is the CAPTCHA farm, where workers are hired to solve CAPTCHAs manually. In this work, we propose to tackle this challenge from...
1410.8808
Paolo Pareti Mr.
Paolo Pareti, Ewan Klein and Adam Barker
A Semantic Web of Know-How: Linked Data for Community-Centric Tasks
6th International Workshop on Web Intelligence & Communities (WIC14), Proceedings of the companion publication of the 23rd International Conference on World Wide Web (WWW 2014)
null
null
null
cs.AI cs.CL
http://creativecommons.org/licenses/by-nc-sa/3.0/
This paper proposes a novel framework for representing community know-how on the Semantic Web. Procedural knowledge generated by web communities typically takes the form of natural language instructions or videos and is largely unstructured. The absence of semantic structure impedes the deployment of many useful appl...
[ { "created": "Wed, 29 Oct 2014 15:48:40 GMT", "version": "v1" } ]
2014-11-03
[ [ "Pareti", "Paolo", "" ], [ "Klein", "Ewan", "" ], [ "Barker", "Adam", "" ] ]
This paper proposes a novel framework for representing community know-how on the Semantic Web. Procedural knowledge generated by web communities typically takes the form of natural language instructions or videos and is largely unstructured. The absence of semantic structure impedes the deployment of many useful applic...
2210.02594
Jeongyeol Kwon
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
null
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider episodic reinforcement learning in reward-mixing Markov decision processes (RMMDPs): at the beginning of every episode nature randomly picks a latent reward model among $M$ candidates and an agent interacts with the MDP throughout the episode for $H$ time steps. Our goal is to learn a near-optimal policy ...
[ { "created": "Wed, 5 Oct 2022 22:52:00 GMT", "version": "v1" } ]
2022-10-07
[ [ "Kwon", "Jeongyeol", "" ], [ "Efroni", "Yonathan", "" ], [ "Caramanis", "Constantine", "" ], [ "Mannor", "Shie", "" ] ]
We consider episodic reinforcement learning in reward-mixing Markov decision processes (RMMDPs): at the beginning of every episode nature randomly picks a latent reward model among $M$ candidates and an agent interacts with the MDP throughout the episode for $H$ time steps. Our goal is to learn a near-optimal policy th...
2206.03761
Yifan Wang
Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, and Shaoping Ma
A Survey on the Fairness of Recommender Systems
Submitted to the Special Section on Trustworthy Recommendation and Search of ACM TOIS on March 27, 2022 and accepted on June 6
null
10.1145/3547333
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems are an essential tool to relieve the information overload challenge and play an important role in people's daily lives. Since recommendations involve allocations of social resources (e.g., job recommendation), an important issue is whether recommendations are fair. Unfair recommendations are not o...
[ { "created": "Wed, 8 Jun 2022 09:15:08 GMT", "version": "v1" }, { "created": "Sun, 19 Jun 2022 16:14:06 GMT", "version": "v2" } ]
2022-07-12
[ [ "Wang", "Yifan", "" ], [ "Ma", "Weizhi", "" ], [ "Zhang", "Min", "" ], [ "Liu", "Yiqun", "" ], [ "Ma", "Shaoping", "" ] ]
Recommender systems are an essential tool to relieve the information overload challenge and play an important role in people's daily lives. Since recommendations involve allocations of social resources (e.g., job recommendation), an important issue is whether recommendations are fair. Unfair recommendations are not onl...
1402.5078
Kri\v{s}j\=anis Pr\=usis
Andris Ambainis and Kri\v{s}j\=anis Pr\=usis
A Tight Lower Bound on Certificate Complexity in Terms of Block Sensitivity and Sensitivity
12 pages
null
10.1007/978-3-662-44465-8_4
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sensitivity, certificate complexity and block sensitivity are widely used Boolean function complexity measures. A longstanding open problem, proposed by Nisan and Szegedy, is whether sensitivity and block sensitivity are polynomially related. Motivated by the constructions of functions which achieve the largest known...
[ { "created": "Thu, 20 Feb 2014 17:16:23 GMT", "version": "v1" }, { "created": "Thu, 31 Jul 2014 11:55:55 GMT", "version": "v2" } ]
2015-03-27
[ [ "Ambainis", "Andris", "" ], [ "Prūsis", "Krišjānis", "" ] ]
Sensitivity, certificate complexity and block sensitivity are widely used Boolean function complexity measures. A longstanding open problem, proposed by Nisan and Szegedy, is whether sensitivity and block sensitivity are polynomially related. Motivated by the constructions of functions which achieve the largest known s...
2109.06853
Naoya Inoue
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian and Kentaro Inui
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Accepted to EMNLP2021 Long Paper (Main Track)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
How can we generate concise explanations for multi-hop Reading Comprehension (RC)? The current strategies of identifying supporting sentences can be seen as an extractive question-focused summarization of the input text. However, these extractive explanations are not necessarily concise i.e. not minimally sufficient ...
[ { "created": "Tue, 14 Sep 2021 17:44:34 GMT", "version": "v1" } ]
2021-09-15
[ [ "Inoue", "Naoya", "" ], [ "Trivedi", "Harsh", "" ], [ "Sinha", "Steven", "" ], [ "Balasubramanian", "Niranjan", "" ], [ "Inui", "Kentaro", "" ] ]
How can we generate concise explanations for multi-hop Reading Comprehension (RC)? The current strategies of identifying supporting sentences can be seen as an extractive question-focused summarization of the input text. However, these extractive explanations are not necessarily concise i.e. not minimally sufficient fo...
2102.00321
Orestis Papadigenopoulos
Orestis Papadigenopoulos and Constantine Caramanis
Recurrent Submodular Welfare and Matroid Blocking Bandits
Corrected Remark 3.2
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A recent line of research focuses on the study of the stochastic multi-armed bandits problem (MAB), in the case where temporal correlations of specific structure are imposed between the player's actions and the reward distributions of the arms (Kleinberg and Immorlica [FOCS18], Basu et al. [NeurIPS19]). As opposed to...
[ { "created": "Sat, 30 Jan 2021 21:51:47 GMT", "version": "v1" }, { "created": "Tue, 16 Feb 2021 06:30:35 GMT", "version": "v2" }, { "created": "Sun, 28 Feb 2021 03:34:19 GMT", "version": "v3" } ]
2021-03-02
[ [ "Papadigenopoulos", "Orestis", "" ], [ "Caramanis", "Constantine", "" ] ]
A recent line of research focuses on the study of the stochastic multi-armed bandits problem (MAB), in the case where temporal correlations of specific structure are imposed between the player's actions and the reward distributions of the arms (Kleinberg and Immorlica [FOCS18], Basu et al. [NeurIPS19]). As opposed to t...
2404.05587
Wolfgang Otto
Wolfgang Otto, Sharmila Upadhyaya, Stefan Dietze
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models
Accepted at: 1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2024) Co-located with Extended Semantic Web Conference (ESWC 2024)
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
This paper describes our participation in the Shared Task on Software Mentions Disambiguation (SOMD), with a focus on improving relation extraction in scholarly texts through generative Large Language Models (LLMs) using single-choice question-answering. The methodology prioritises the use of in-context learning capa...
[ { "created": "Mon, 8 Apr 2024 15:00:36 GMT", "version": "v1" }, { "created": "Fri, 19 Apr 2024 23:19:17 GMT", "version": "v2" } ]
2024-04-23
[ [ "Otto", "Wolfgang", "" ], [ "Upadhyaya", "Sharmila", "" ], [ "Dietze", "Stefan", "" ] ]
This paper describes our participation in the Shared Task on Software Mentions Disambiguation (SOMD), with a focus on improving relation extraction in scholarly texts through generative Large Language Models (LLMs) using single-choice question-answering. The methodology prioritises the use of in-context learning capabi...
1909.00440
Abir De
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Can A User Anticipate What Her Followers Want?
Fixed some typos
null
null
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whenever a social media user decides to share a story, she is typically pleased to receive likes, comments, shares, or, more generally, feedback from her followers. As a result, she may feel compelled to use the feedback she receives to (re-)estimate her followers' preferences and decides which stories to share next ...
[ { "created": "Sun, 1 Sep 2019 18:19:51 GMT", "version": "v1" }, { "created": "Thu, 19 Sep 2019 12:28:39 GMT", "version": "v2" } ]
2019-09-20
[ [ "De", "Abir", "" ], [ "Singla", "Adish", "" ], [ "Upadhyay", "Utkarsh", "" ], [ "Gomez-Rodriguez", "Manuel", "" ] ]
Whenever a social media user decides to share a story, she is typically pleased to receive likes, comments, shares, or, more generally, feedback from her followers. As a result, she may feel compelled to use the feedback she receives to (re-)estimate her followers' preferences and decides which stories to share next to...
2011.03659
Jingnan Shi
Jingnan Shi, Heng Yang, Luca Carlone
ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many estimation problems in robotics, computer vision, and learning require estimating unknown quantities in the face of outliers. Outliers are typically the result of incorrect data association or feature matching, and it is common to have problems where more than 90% of the measurements used for estimation are outl...
[ { "created": "Sat, 7 Nov 2020 02:09:33 GMT", "version": "v1" }, { "created": "Tue, 23 Mar 2021 20:02:00 GMT", "version": "v2" } ]
2021-03-25
[ [ "Shi", "Jingnan", "" ], [ "Yang", "Heng", "" ], [ "Carlone", "Luca", "" ] ]
Many estimation problems in robotics, computer vision, and learning require estimating unknown quantities in the face of outliers. Outliers are typically the result of incorrect data association or feature matching, and it is common to have problems where more than 90% of the measurements used for estimation are outlie...
1609.01755
Ulf R\"uegg
Adalat Jabrayilov, Sven Mallach, Petra Mutzel, Ulf R\"uegg, and Reinhard von Hanxleden
Compact Layered Drawings of General Directed Graphs
Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of layering general directed graphs under height and possibly also width constraints. Given a directed graph G = (V,A) and a maximal height, we propose a layering approach that minimizes a weighted sum of the number of reversed arcs, the arc lengths, and the width of the drawing. We call this ...
[ { "created": "Mon, 29 Aug 2016 22:09:37 GMT", "version": "v1" } ]
2016-09-08
[ [ "Jabrayilov", "Adalat", "" ], [ "Mallach", "Sven", "" ], [ "Mutzel", "Petra", "" ], [ "Rüegg", "Ulf", "" ], [ "von Hanxleden", "Reinhard", "" ] ]
We consider the problem of layering general directed graphs under height and possibly also width constraints. Given a directed graph G = (V,A) and a maximal height, we propose a layering approach that minimizes a weighted sum of the number of reversed arcs, the arc lengths, and the width of the drawing. We call this th...
2204.09009
Ishay Haviv
Ishay Haviv
Fixed-Parameter Algorithms for the Kneser and Schrijver Problems
31 pages. This paper includes and extends the content of arXiv:2204.06761
null
null
null
cs.DS math.CO
http://creativecommons.org/licenses/by/4.0/
The Kneser graph $K(n,k)$ is defined for integers $n$ and $k$ with $n \geq 2k$ as the graph whose vertices are all the $k$-subsets of $[n]=\{1,2,\ldots,n\}$ where two such sets are adjacent if they are disjoint. The Schrijver graph $S(n,k)$ is defined as the subgraph of $K(n,k)$ induced by the collection of all $k$-s...
[ { "created": "Tue, 19 Apr 2022 17:09:01 GMT", "version": "v1" }, { "created": "Sun, 1 May 2022 06:49:00 GMT", "version": "v2" }, { "created": "Tue, 13 Feb 2024 08:11:56 GMT", "version": "v3" } ]
2024-02-14
[ [ "Haviv", "Ishay", "" ] ]
The Kneser graph $K(n,k)$ is defined for integers $n$ and $k$ with $n \geq 2k$ as the graph whose vertices are all the $k$-subsets of $[n]=\{1,2,\ldots,n\}$ where two such sets are adjacent if they are disjoint. The Schrijver graph $S(n,k)$ is defined as the subgraph of $K(n,k)$ induced by the collection of all $k$-sub...
2402.09872
Arman Isajanyan
Arman Isajanyan, Artur Shatveryan, David Kocharyan, Zhangyang Wang, Humphrey Shi
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
16 pages with 10 figures, accepted at ICLR 2024 as a spotlight, codes can be accessed at https://github.com/Picsart-AI-Research/Social-Reward
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social reward as a form of community recognition provides a strong source of motivation for users of online platforms to engage and contribute with content. The recent progress of text-conditioned image synthesis has ushered in a collaborative era where AI empowers users to craft original visual artworks seeking comm...
[ { "created": "Thu, 15 Feb 2024 10:56:31 GMT", "version": "v1" } ]
2024-02-16
[ [ "Isajanyan", "Arman", "" ], [ "Shatveryan", "Artur", "" ], [ "Kocharyan", "David", "" ], [ "Wang", "Zhangyang", "" ], [ "Shi", "Humphrey", "" ] ]
Social reward as a form of community recognition provides a strong source of motivation for users of online platforms to engage and contribute with content. The recent progress of text-conditioned image synthesis has ushered in a collaborative era where AI empowers users to craft original visual artworks seeking commun...
2108.11903
Grischa Liebel
Rodi Jolak and Andreas Wortmann and Grischa Liebel and Eric Umuhoza and Michel R.V. Chaudron
Design Thinking and Creativity of Co-located vs. Globally Distributed Software Developers
This is a pre-peer-review version of an article published in Wiley Journal of Software: Evolution and Process. The final version is available via https://dx.doi.org/10.1002/smr.2377
null
10.1002/smr.2377
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Context: Designing software is an activity in which software developers think and make design decisions that shape the structure and behavior of software products. Designing software is one of the least understood software engineering activities. In a collaborative design setting, various types of distances can lead ...
[ { "created": "Thu, 26 Aug 2021 16:50:31 GMT", "version": "v1" } ]
2021-08-27
[ [ "Jolak", "Rodi", "" ], [ "Wortmann", "Andreas", "" ], [ "Liebel", "Grischa", "" ], [ "Umuhoza", "Eric", "" ], [ "Chaudron", "Michel R. V.", "" ] ]
Context: Designing software is an activity in which software developers think and make design decisions that shape the structure and behavior of software products. Designing software is one of the least understood software engineering activities. In a collaborative design setting, various types of distances can lead to...
2401.13150
Onur Cankur
Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele
Automated Programmatic Performance Analysis of Parallel Programs
null
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing efficient parallel applications is critical to advancing scientific development but requires significant performance analysis and optimization. Performance analysis tools help developers manage the increasing complexity and scale of performance data, but often rely on the user to manually explore low-level...
[ { "created": "Tue, 23 Jan 2024 23:52:48 GMT", "version": "v1" } ]
2024-01-25
[ [ "Cankur", "Onur", "" ], [ "Tomar", "Aditya", "" ], [ "Nichols", "Daniel", "" ], [ "Scully-Allison", "Connor", "" ], [ "Isaacs", "Katherine E.", "" ], [ "Bhatele", "Abhinav", "" ] ]
Developing efficient parallel applications is critical to advancing scientific development but requires significant performance analysis and optimization. Performance analysis tools help developers manage the increasing complexity and scale of performance data, but often rely on the user to manually explore low-level d...
2207.12909
Zerui Chen
Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
Accepted by ECCV 2022. Project Page: https://zerchen.github.io/projects/alignsdf.html
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work achieved impressive progress towards joint reconstruction of hands and manipulated objects from monocular color images. Existing methods focus on two alternative representations in terms of either parametric meshes or signed distance fields (SDFs). On one side, parametric models can benefit from prior kno...
[ { "created": "Tue, 26 Jul 2022 13:58:59 GMT", "version": "v1" } ]
2022-07-27
[ [ "Chen", "Zerui", "" ], [ "Hasson", "Yana", "" ], [ "Schmid", "Cordelia", "" ], [ "Laptev", "Ivan", "" ] ]
Recent work achieved impressive progress towards joint reconstruction of hands and manipulated objects from monocular color images. Existing methods focus on two alternative representations in terms of either parametric meshes or signed distance fields (SDFs). On one side, parametric models can benefit from prior knowl...
2403.07376
Bingqian Lin
Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang
NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning
null
null
null
null
cs.CV cs.AI cs.CL cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-and-Language Navigation (VLN), as a crucial research problem of Embodied AI, requires an embodied agent to navigate through complex 3D environments following natural language instructions. Recent research has highlighted the promising capacity of large language models (LLMs) in VLN by improving navigational re...
[ { "created": "Tue, 12 Mar 2024 07:27:02 GMT", "version": "v1" } ]
2024-03-13
[ [ "Lin", "Bingqian", "" ], [ "Nie", "Yunshuang", "" ], [ "Wei", "Ziming", "" ], [ "Chen", "Jiaqi", "" ], [ "Ma", "Shikui", "" ], [ "Han", "Jianhua", "" ], [ "Xu", "Hang", "" ], [ "Chang", "Xiaojun...
Vision-and-Language Navigation (VLN), as a crucial research problem of Embodied AI, requires an embodied agent to navigate through complex 3D environments following natural language instructions. Recent research has highlighted the promising capacity of large language models (LLMs) in VLN by improving navigational reas...
2309.08638
Rajan Vivek
Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela
Anchor Points: Benchmarking Models with Much Fewer Examples
Accepted to EACL 2024 Main Conference. Code will be released at: https://github.com/rvivek3/AnchorPoints
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern language models often exhibit powerful but brittle behavior, leading to the development of larger and more diverse benchmarks to reliably assess their behavior. Here, we suggest that model performance can be benchmarked and elucidated with much smaller evaluation sets. We first show that in six popular languag...
[ { "created": "Thu, 14 Sep 2023 17:45:51 GMT", "version": "v1" }, { "created": "Sun, 18 Feb 2024 21:37:47 GMT", "version": "v2" } ]
2024-02-20
[ [ "Vivek", "Rajan", "" ], [ "Ethayarajh", "Kawin", "" ], [ "Yang", "Diyi", "" ], [ "Kiela", "Douwe", "" ] ]
Modern language models often exhibit powerful but brittle behavior, leading to the development of larger and more diverse benchmarks to reliably assess their behavior. Here, we suggest that model performance can be benchmarked and elucidated with much smaller evaluation sets. We first show that in six popular language ...
2112.13974
Akansha Singh Bansal
Akansha Singh Bansal, Trapit Bansal, David Irwin
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning
18 pages
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Solar energy is now the cheapest form of electricity in history. Unfortunately, significantly increasing the grid's fraction of solar energy remains challenging due to its variability, which makes balancing electricity's supply and demand more difficult. While thermal generators' ramp rate -- the maximum rate that th...
[ { "created": "Tue, 28 Dec 2021 03:13:44 GMT", "version": "v1" } ]
2021-12-30
[ [ "Bansal", "Akansha Singh", "" ], [ "Bansal", "Trapit", "" ], [ "Irwin", "David", "" ] ]
Solar energy is now the cheapest form of electricity in history. Unfortunately, significantly increasing the grid's fraction of solar energy remains challenging due to its variability, which makes balancing electricity's supply and demand more difficult. While thermal generators' ramp rate -- the maximum rate that they...
2101.08918
Tianming Feng
Tianming Feng, Shuo Shi, Shushi Gu, Ning Zhang, Wei Xiang, and Xuemai Gu
Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
arXiv admin note: text overlap with arXiv:2101.08669
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The large amount of deployed smart devices put tremendous traffic pressure on networks. Caching at the edge has been widely studied as a promising technique to solve this problem. To further improve the successful transmission probability (STP) of cache-enabled cellular networks (CEN), we combine the cooperative tran...
[ { "created": "Fri, 22 Jan 2021 02:00:06 GMT", "version": "v1" } ]
2021-01-25
[ [ "Feng", "Tianming", "" ], [ "Shi", "Shuo", "" ], [ "Gu", "Shushi", "" ], [ "Zhang", "Ning", "" ], [ "Xiang", "Wei", "" ], [ "Gu", "Xuemai", "" ] ]
The large amount of deployed smart devices put tremendous traffic pressure on networks. Caching at the edge has been widely studied as a promising technique to solve this problem. To further improve the successful transmission probability (STP) of cache-enabled cellular networks (CEN), we combine the cooperative transm...
2203.03704
Jeff Delaune
Jeff Delaune, Jacob Izraelevitz, Samuel Sirlin, David Sternberg, Louis Giersch, L. Phillipe Tosi, Evgeniy Skliyanskiy, Larry Young, Michael Mischna, Shannah Withrow-Maser, Juergen Mueller, Joshua Bowman, Mark S Wallace, Havard F. Grip, Larry Matthies, Wayne Johnson, Matthew Keennon, Benjamin Pipenberg, Harsh Pa...
Mid-Air Helicopter Delivery at Mars Using a Jetpack
Accepted in 2022 IEEE Aerospace Conference
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mid-Air Helicopter Delivery (MAHD) is a new Entry, Descent and Landing (EDL) architecture to enable in situ mobility for Mars science at lower cost than previous missions. It uses a jetpack to slow down a Mars Science Helicopter (MSH) after separation from the backshell, and reach aerodynamic conditions suitable for ...
[ { "created": "Mon, 7 Mar 2022 21:07:56 GMT", "version": "v1" } ]
2022-03-09
[ [ "Delaune", "Jeff", "", "Bob" ], [ "Izraelevitz", "Jacob", "", "Bob" ], [ "Sirlin", "Samuel", "", "Bob" ], [ "Sternberg", "David", "", "Bob" ], [ "Giersch", "Louis", "", "Bob" ], [ "Tosi", "L. Phillipe", ...
Mid-Air Helicopter Delivery (MAHD) is a new Entry, Descent and Landing (EDL) architecture to enable in situ mobility for Mars science at lower cost than previous missions. It uses a jetpack to slow down a Mars Science Helicopter (MSH) after separation from the backshell, and reach aerodynamic conditions suitable for he...
2211.11344
Jakub Tetek
Shyam Narayanan, Jakub T\v{e}tek
Estimating the Effective Support Size in Constant Query Complexity
null
null
null
null
cs.DS math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimating the support size of a distribution is a well-studied problem in statistics. Motivated by the fact that this problem is highly non-robust (as small perturbations in the distributions can drastically affect the support size) and thus hard to estimate, Goldreich [ECCC 2019] studied the query complexity of est...
[ { "created": "Mon, 21 Nov 2022 10:49:32 GMT", "version": "v1" } ]
2022-11-22
[ [ "Narayanan", "Shyam", "" ], [ "Tětek", "Jakub", "" ] ]
Estimating the support size of a distribution is a well-studied problem in statistics. Motivated by the fact that this problem is highly non-robust (as small perturbations in the distributions can drastically affect the support size) and thus hard to estimate, Goldreich [ECCC 2019] studied the query complexity of estim...
1901.10237
Hai Duong Nguyen
Hai-Duong Nguyen, Soo-Hyung Kim
Automatic Whole-body Bone Age Assessment Using Deep Hierarchical Features
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bone age assessment gives us evidence to analyze the children growth status and the rejuvenation involved chronological and biological ages. All the previous works consider left-hand X-ray image of a child in their works. In this paper, we carry out a study on estimating human age using whole-body bone CT images and ...
[ { "created": "Tue, 29 Jan 2019 11:53:30 GMT", "version": "v1" } ]
2019-01-30
[ [ "Nguyen", "Hai-Duong", "" ], [ "Kim", "Soo-Hyung", "" ] ]
Bone age assessment gives us evidence to analyze the children growth status and the rejuvenation involved chronological and biological ages. All the previous works consider left-hand X-ray image of a child in their works. In this paper, we carry out a study on estimating human age using whole-body bone CT images and a ...
2405.10098
Sen Huang
Sen Huang, Kaixiang Yang, Sheng Qi, Rui Wang
When Large Language Model Meets Optimization
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent modeling and strategic decision-making in optimization, while optimization algorith...
[ { "created": "Thu, 16 May 2024 13:54:37 GMT", "version": "v1" } ]
2024-05-17
[ [ "Huang", "Sen", "" ], [ "Yang", "Kaixiang", "" ], [ "Qi", "Sheng", "" ], [ "Wang", "Rui", "" ] ]
Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent modeling and strategic decision-making in optimization, while optimization algorithms...
1504.01802
Morteza Hashemi
Morteza Hashemi, Yuval Cassuto, Ari Trachtenberg
Fountain Codes with Nonuniform Selection Distributions through Feedback
Submitted to the IEEE Transactions on Information Theory
null
10.1109/TIT.2016.2570232
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One key requirement for fountain (rateless) coding schemes is to achieve a high intermediate symbol recovery rate. Recent coding schemes have incorporated the use of a feedback channel to improve intermediate performance of traditional rateless codes; however, these codes with feedback are designed based on uniformly...
[ { "created": "Wed, 8 Apr 2015 02:11:09 GMT", "version": "v1" } ]
2016-11-17
[ [ "Hashemi", "Morteza", "" ], [ "Cassuto", "Yuval", "" ], [ "Trachtenberg", "Ari", "" ] ]
One key requirement for fountain (rateless) coding schemes is to achieve a high intermediate symbol recovery rate. Recent coding schemes have incorporated the use of a feedback channel to improve intermediate performance of traditional rateless codes; however, these codes with feedback are designed based on uniformly a...
1708.08844
Jan Czarnowski
Jan Czarnowski, Stefan Leutenegger, Andrew Davison
Semantic Texture for Robust Dense Tracking
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We argue that robust dense SLAM systems can make valuable use of the layers of features coming from a standard CNN as a pyramid of `semantic texture' which is suitable for dense alignment while being much more robust to nuisance factors such as lighting than raw RGB values. We use a straightforward Lucas-Kanade formu...
[ { "created": "Tue, 29 Aug 2017 15:58:18 GMT", "version": "v1" } ]
2017-08-30
[ [ "Czarnowski", "Jan", "" ], [ "Leutenegger", "Stefan", "" ], [ "Davison", "Andrew", "" ] ]
We argue that robust dense SLAM systems can make valuable use of the layers of features coming from a standard CNN as a pyramid of `semantic texture' which is suitable for dense alignment while being much more robust to nuisance factors such as lighting than raw RGB values. We use a straightforward Lucas-Kanade formula...
2312.10029
Zachary Kenton
Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
Challenges with unsupervised LLM knowledge discovery
12 pages (38 including references and appendices). First three authors equal contribution, randomised order
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that existing unsupervised methods on large language model (LLM) activations do not discover knowledge -- instead they seem to discover whatever feature of the activations is most prominent. The idea behind unsupervised knowledge elicitation is that knowledge satisfies a consistency structure, which can be us...
[ { "created": "Fri, 15 Dec 2023 18:49:43 GMT", "version": "v1" }, { "created": "Mon, 18 Dec 2023 16:43:35 GMT", "version": "v2" } ]
2023-12-19
[ [ "Farquhar", "Sebastian", "" ], [ "Varma", "Vikrant", "" ], [ "Kenton", "Zachary", "" ], [ "Gasteiger", "Johannes", "" ], [ "Mikulik", "Vladimir", "" ], [ "Shah", "Rohin", "" ] ]
We show that existing unsupervised methods on large language model (LLM) activations do not discover knowledge -- instead they seem to discover whatever feature of the activations is most prominent. The idea behind unsupervised knowledge elicitation is that knowledge satisfies a consistency structure, which can be used...
1604.07153
Kim-Manuel Klein
Klaus Jansen, Kim-Manuel Klein, Jos\'e Verschae
Closing the Gap for Makespan Scheduling via Sparsification Techniques
20 pages, ICALP 2016
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Makespan scheduling on identical machines is one of the most basic and fundamental packing problems studied in the discrete optimization literature. It asks for an assignment of $n$ jobs to a set of $m$ identical machines that minimizes the makespan. The problem is strongly NP-hard, and thus we do not expect a $(1+\e...
[ { "created": "Mon, 25 Apr 2016 07:47:34 GMT", "version": "v1" } ]
2016-04-26
[ [ "Jansen", "Klaus", "" ], [ "Klein", "Kim-Manuel", "" ], [ "Verschae", "José", "" ] ]
Makespan scheduling on identical machines is one of the most basic and fundamental packing problems studied in the discrete optimization literature. It asks for an assignment of $n$ jobs to a set of $m$ identical machines that minimizes the makespan. The problem is strongly NP-hard, and thus we do not expect a $(1+\eps...
1812.03953
Hadi Abdi Khojasteh
Hadi Abdi Khojasteh, Alireza Abbas Alipour, Ebrahim Ansari and Parvin Razzaghi
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles
15 pages and 5 figures, Submitted to the international conference on Contemporary issues in Data Science (CiDaS 2019), Learn more about this project at https://iasbs.ac.ir/~ansari/faraz
Nature Switzerland AG - Springer LNDECT 45(2020) 322-336
10.1007/978-3-030-37309-2_26
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe. Monitoring driver's actions by computer vision techniques to detect driving mistakes in real-time and then planning for autonomous driving to avoid vehicle collisions is one of the most important issues that has been investigated...
[ { "created": "Mon, 10 Dec 2018 18:08:18 GMT", "version": "v1" }, { "created": "Wed, 20 Feb 2019 22:57:02 GMT", "version": "v2" } ]
2020-02-28
[ [ "Khojasteh", "Hadi Abdi", "" ], [ "Alipour", "Alireza Abbas", "" ], [ "Ansari", "Ebrahim", "" ], [ "Razzaghi", "Parvin", "" ] ]
Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe. Monitoring driver's actions by computer vision techniques to detect driving mistakes in real-time and then planning for autonomous driving to avoid vehicle collisions is one of the most important issues that has been investigated i...
2011.10278
Junho Koh
Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang and Jun Won Choi
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a new video object detector (VoD) method referred to as temporal feature aggregation and motion-aware VoD (TM-VoD), which produces a joint representation of temporal image sequences and object motion. The proposed TM-VoD aggregates visual feature maps extracted by convolutional neural networ...
[ { "created": "Fri, 20 Nov 2020 08:46:12 GMT", "version": "v1" } ]
2020-11-23
[ [ "Koh", "Junho", "" ], [ "Kim", "Jaekyum", "" ], [ "Shin", "Younji", "" ], [ "Lee", "Byeongwon", "" ], [ "Yang", "Seungji", "" ], [ "Choi", "Jun Won", "" ] ]
In this paper, we propose a new video object detector (VoD) method referred to as temporal feature aggregation and motion-aware VoD (TM-VoD), which produces a joint representation of temporal image sequences and object motion. The proposed TM-VoD aggregates visual feature maps extracted by convolutional neural networks...
2102.07344
Ana Stanescu
Ana Stanescu and Gaurav Pandey
Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
This work was intended as a replacement of arXiv:1805.02103 and any subsequent updates will appear there
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Heterogeneous ensembles that can aggregate an unrestricted number and variety of base predictors can effectively address challenging prediction problems. In particular, accurate ensembles that are also parsimonious, i.e., consist of as few base predictors as possible, can help reveal potentially useful knowledge abou...
[ { "created": "Mon, 15 Feb 2021 05:00:19 GMT", "version": "v1" }, { "created": "Thu, 25 Feb 2021 23:43:42 GMT", "version": "v2" } ]
2021-03-01
[ [ "Stanescu", "Ana", "" ], [ "Pandey", "Gaurav", "" ] ]
Heterogeneous ensembles that can aggregate an unrestricted number and variety of base predictors can effectively address challenging prediction problems. In particular, accurate ensembles that are also parsimonious, i.e., consist of as few base predictors as possible, can help reveal potentially useful knowledge about ...
1910.06511
Ling-Xiao Zhang
Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
null
IEEE Transactions on Visualization and Computer Graphics, Volume: 27, Issue: 6, 2021
10.1109/TVCG.2020.3003823
null
cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In geometry processing, symmetry is a universal type of high-level structural information of 3D models and benefits many geometry processing tasks including shape segmentation, alignment, matching, and completion. Thus it is an important problem to analyze various symmetry forms of 3D shapes. Planar reflective symmet...
[ { "created": "Tue, 15 Oct 2019 03:46:58 GMT", "version": "v1" }, { "created": "Fri, 18 Oct 2019 04:05:15 GMT", "version": "v2" }, { "created": "Thu, 24 Oct 2019 06:55:05 GMT", "version": "v3" }, { "created": "Sat, 16 May 2020 02:21:17 GMT", "version": "v4" }, { "c...
2021-09-15
[ [ "Gao", "Lin", "" ], [ "Zhang", "Ling-Xiao", "" ], [ "Meng", "Hsien-Yu", "" ], [ "Ren", "Yi-Hui", "" ], [ "Lai", "Yu-Kun", "" ], [ "Kobbelt", "Leif", "" ] ]
In geometry processing, symmetry is a universal type of high-level structural information of 3D models and benefits many geometry processing tasks including shape segmentation, alignment, matching, and completion. Thus it is an important problem to analyze various symmetry forms of 3D shapes. Planar reflective symmetry...
2103.03666
Benedikt Kleppmann
Benedikt T. Kleppmann
Tree of Knowledge: an Online Platform for Learning the Behaviour of Complex Systems
10 pages, 5 figures
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Many social sciences such as psychology and economics try to learn the behaviour of complex agents such as humans, organisations and countries. The current statistical methods used for learning this behaviour try to infer generally valid behaviour, but can only learn from one type of study at a time. Furthermore, onl...
[ { "created": "Sat, 27 Feb 2021 19:39:14 GMT", "version": "v1" } ]
2021-03-08
[ [ "Kleppmann", "Benedikt T.", "" ] ]
Many social sciences such as psychology and economics try to learn the behaviour of complex agents such as humans, organisations and countries. The current statistical methods used for learning this behaviour try to infer generally valid behaviour, but can only learn from one type of study at a time. Furthermore, only ...
1902.10439
Su Yang
Su Yang, Yuqing Zhang, Chensi Wu
Attack-Defense Quantification Based On Game-Theory
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the developing of the attack and defense technology, the cyber environment has been more and more sophisticated. We failed to give an accurate evaluation of network security situation, as we lack a more accurate quantitative evaluation of attack-defense behaviors. In response to this situation, we proposed an at...
[ { "created": "Wed, 27 Feb 2019 10:28:34 GMT", "version": "v1" } ]
2019-02-28
[ [ "Yang", "Su", "" ], [ "Zhang", "Yuqing", "" ], [ "Wu", "Chensi", "" ] ]
With the developing of the attack and defense technology, the cyber environment has been more and more sophisticated. We failed to give an accurate evaluation of network security situation, as we lack a more accurate quantitative evaluation of attack-defense behaviors. In response to this situation, we proposed an atta...
2405.11320
Emmanouil Maragkoudakis
Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis and Christos Diou
Sampling Strategies for Mitigating Bias in Face Synthesis Methods
Accepted to the BIAS 2023 ECML-PKDD Workshop
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Synthetically generated images can be used to create media content or to complement datasets for training image analysis models. Several methods have recently been proposed for the synthesis of high-fidelity face images; however, the potential biases introduced by such methods have not been sufficiently addressed. Th...
[ { "created": "Sat, 18 May 2024 15:30:14 GMT", "version": "v1" } ]
2024-05-21
[ [ "Maragkoudakis", "Emmanouil", "" ], [ "Papadopoulos", "Symeon", "" ], [ "Varlamis", "Iraklis", "" ], [ "Diou", "Christos", "" ] ]
Synthetically generated images can be used to create media content or to complement datasets for training image analysis models. Several methods have recently been proposed for the synthesis of high-fidelity face images; however, the potential biases introduced by such methods have not been sufficiently addressed. This...
2205.09351
Arnab Dey
Arnab Dey, Yassine Ahmine, Andrew I. Comport
Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields
null
Journal of WSCG 2022
10.24132/JWSCG.2022.5
Vol.30., No.1-2, ISSN 1213-6972
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Neural scene representations, such as Neural Radiance Fields (NeRF), are based on training a multilayer perceptron (MLP) using a set of color images with known poses. An increasing number of devices now produce RGB-D(color + depth) information, which has been shown to be very important for a wide range of tasks. Ther...
[ { "created": "Thu, 19 May 2022 07:11:42 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2022 11:35:53 GMT", "version": "v2" }, { "created": "Mon, 7 Nov 2022 13:57:58 GMT", "version": "v3" } ]
2022-11-08
[ [ "Dey", "Arnab", "" ], [ "Ahmine", "Yassine", "" ], [ "Comport", "Andrew I.", "" ] ]
Neural scene representations, such as Neural Radiance Fields (NeRF), are based on training a multilayer perceptron (MLP) using a set of color images with known poses. An increasing number of devices now produce RGB-D(color + depth) information, which has been shown to be very important for a wide range of tasks. Theref...