Search results for "Monte Carlo sampling"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Giorgio Panin, Sebastian Klose, Alois Knoll	Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling.	ISVC	2009	DBLP DOI BibTeX RDF
2	Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler	Articulating user preferences in many-objective problems by sampling the weighted hypervolume.	GECCO	2009	DBLP DOI BibTeX RDF	preference articulation, monte carlo sampling, hypervolume indicator
2	Rui Huang, Gergely V. Záruba	Monte Carlo localization of wireless sensor networks with a single mobile beacon.	Wireless Networks	2009	DBLP DOI BibTeX RDF	Wireless sensor networks, Localization, Particle filter, Monte Carlo sampling
2	Gergely V. Záruba, Manfred Huber, Farhad Kamangar, Imrich Chlamtac	Indoor location tracking using RSSI readings from a single Wi-Fi access point.	Wireless Networks	2007	DBLP DOI BibTeX RDF	Wireless experiments, Simulation, System design, Location estimation, Monte Carlo sampling
2	Jean-Cédric Chappelier, Martin Rajman	Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing.	Natural Language Processing	2000	DBLP DOI BibTeX RDF
1	Xiuzhuang Zhou, Yao Lu, Jiwen Lu, Jie Zhou	Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling.	IEEE Transactions on Image Processing	2012	DBLP DOI BibTeX RDF
1	Guoqi Qian, Ning Li, Richard Huggins	Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Mathieu Rousseau, James Fraser, Maria A. Ferraiuolo, Josee Dostie, Mathieu Blanchette	Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling.	BMC Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Alexander Wong, Akshaya Kumar Mishra, Wen Zhang, Paul W. Fieguth, David A. Clausi	Stochastic image denoising based on Markov-chain Monte Carlo sampling.	Signal Processing	2011	DBLP DOI BibTeX RDF
1	Raymond R. Hill, Derek A. Leggio, Shay R. Capehart, August G. Roesener	Examining improved experimental designs for wind tunnel testing using Monte Carlo sampling methods.	Quality and Reliability Eng. Int.	2011	DBLP DOI BibTeX RDF
1	David Tolpin, Solomon Eyal Shimony	Doing Better Than UCT: Rational Monte Carlo Sampling in Trees	CoRR	2011	DBLP BibTeX RDF
1	Jehoon Lee, Romeil Sandhu, Allen Tannenbaum	Monte Carlo sampling for visual pose tracking.	ICIP	2011	DBLP DOI BibTeX RDF
1	Nora Ripperda	Rekonstruktion von Fassadenstrukturen mittels formaler Grammatiken und Reversible Jump Markov Chain Monte Carlo Sampling.		2010	RDF
1	Jungmin Lee, Minsu Cho, Kyoung Mu Lee	A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling.	ICPR	2010	DBLP DOI BibTeX RDF
1	Christian L. Müller, Ivo F. Sbalzarini	Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling.	IEEE Congress on Evolutionary Computation	2010	DBLP DOI BibTeX RDF
1	Xiuzhuang Zhou, Yao Lu	Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling.	CVPR	2010	DBLP DOI BibTeX RDF
1	Jeffrey Richard Long, Nathan R. Sturtevant, Michael Buro, Timothy Furtak	Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search.	AAAI	2010	DBLP BibTeX RDF
1	Xiaoying Zhang, Chi Guo, Lina Wang	Using Game Theory to Reveal Vulnerability for Complex Networks.	CIT	2010	DBLP DOI BibTeX RDF	network immunization, game theory, complex networks, Monte Carlo sampling, network vulnerability
1	Giambattista Amati, Giuseppe Amodeo, Valerio Capozio, Carlo Gaibisso, Giorgio Gambosi	On performance of topical opinion retrieval.	SIGIR	2010	DBLP DOI BibTeX RDF	classification, sentiment analysis, opinion retrieval
1	Takayuki Shiina	Capacity Expansion Problem by Monte Carlo Sampling Method.	JACIII	2009	DBLP BibTeX RDF
1	Kenneth Sörensen, Marc Sevaux	A Practical Approach for Robust and Flexible Vehicle Routing Using Metaheuristics and Monte Carlo Sampling.	J. Math. Model. Algorithms	2009	DBLP DOI BibTeX RDF
1	Susanna Kube, Caroline Lasser, Marcus Weber	Monte Carlo sampling of Wigner functions and surface hopping quantum dynamics.	J. Comput. Physics	2009	DBLP DOI BibTeX RDF
1	Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan	Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.	Neural Networks	2009	DBLP DOI BibTeX RDF
1	Prashant Doshi, Piotr J. Gmytrasiewicz	Monte Carlo Sampling Methods for Approximating Interactive POMDPs.	J. Artif. Intell. Res. (JAIR)	2009	DBLP DOI BibTeX RDF
1	Gui-Hua Lin	Combined Monte Carlo sampling and penalty method for Stochastic nonlinear complementarity problems.	Math. Comput.	2009	DBLP DOI BibTeX RDF
1	Jonathan Chevelu, Thomas Lavergne, Yves Lepage, Thierry Moudenc	Introduction of a new paraphrase generation tool based on Monte-Carlo sampling.	ACL/AFNLP (Short Papers)	2009	DBLP BibTeX RDF
1	Junseok Kwon, Kyoung Mu Lee	Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling.	CVPR	2009	DBLP DOI BibTeX RDF
1	Hideo Nakajima, Kyoko Hasegawa, Susumu Nakata, Satoshi Tanaka	Volume Visualization with Grid-Independent Adaptive Monte Carlo Sampling.	IIH-MSP	2009	DBLP DOI BibTeX RDF	volume visualisation, grid- independent sampling, regular/irregular grid, importance sampling, Metropolis algorithm
1	Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael H. Bowling	Monte Carlo Sampling for Regret Minimization in Extensive Games.	NIPS	2009	DBLP BibTeX RDF
1	John L. G. Board, Charles M. S. Sutcliffe, William T. Ziemba	Operations Research and Financial Markets.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	challenges for OR, Monte-Carlo sampling and variance reduction, Portfolio theory, Mean-variance, Simulation, Modeling, Dynamic programming, Linear programming, Markov chains, Applications, Stochastic programming, Nonlinear programming, Quadratic programming, Mathematical programming, Data envelopment analysis, Finance, Goal programming, Fractional programming
1	Mayank Singh, Cem Yuksel, Donald H. House	Fast Occlusion Sweeping.	ISVC	2009	DBLP DOI BibTeX RDF
1	Sameer Singh, Karl Schultz, Andrew McCallum	Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Steven Strachan, Roderick Murray-Smith	Bearing-based selection in mobile spatial interaction.	Personal and Ubiquitous Computing	2009	DBLP DOI BibTeX RDF	GPS Navigation, Probabilistic display, Context, Tracking, Uncertainty, Feedback, Audio, Selection, Monte Carlo
1	Andreas Eidehall, Lars Petersson	Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling.	IEEE Transactions on Intelligent Transportation Systems	2008	DBLP DOI BibTeX RDF
1	Kenji Nagata, Sumio Watanabe	Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Segev Wasserkrug, Avigdor Gal, Opher Etzion, Yulia Turchin	Complex event processing over uncertain data.	DEBS	2008	DBLP DOI BibTeX RDF	event uncertainty management, complex event processing
1	Carole Bernard, Christiane Lemieux	Fast simulation of equity-linked life insurance contracts with a surrender option.	Winter Simulation Conference	2008	DBLP DOI BibTeX RDF
1	Junseok Kwon, Kyoung Mu Lee	Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation.	ECCV	2008	DBLP DOI BibTeX RDF
1	Ilya Baran, Erik D. Demaine, Dmitriy A. Katz	Optimally Adaptive Integration of Univariate Lipschitz Functions.	Algorithmica	2008	DBLP DOI BibTeX RDF	Adaptive algorithms, Lipschitz functions
1	Alexander Shapiro	Stochastic programming approach to optimization under uncertainty.	Math. Program.	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 90C15
1	Yuan Ren, Yu Ding, Faming Liang	Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Adaptive MCMC, Evolutionary Monte Carlo, Data mining, Global optimization
1	Lixin Lang, Wen-shiang Chen, Bhavik R. Bakshi, Prem K. Goel, Sridhar Ungarala	Bayesian estimation via sequential Monte Carlo sampling - Constrained dynamic systems.	Automatica	2007	DBLP DOI BibTeX RDF
1	Jeb Kegerreis, Nancy Makri	Optimized Monte Carlo sampling in forward-backward semiclassical dynamics.	Journal of Computational Chemistry	2007	DBLP DOI BibTeX RDF
1	Andrew V. Kossenkov, Aidan J. Peterson, Michael F. Ochs	Determining Transcription Factor Activity from Microarray Data using Bayesian Markov Chain Monte Carlo Sampling.	MedInfo	2007	DBLP DOI BibTeX RDF
1	Sriram Sankaranarayanan, Richard M. Chang, Guofei Jiang, Franjo Ivancic	State space exploration using feedback constraint generation and Monte-Carlo sampling.	ESEC/SIGSOFT FSE	2007	DBLP DOI BibTeX RDF	model-checking, verification, monte-carlo, statistical sampling
1	Masoomeh Rudafshani, Suprakash Datta	Localization in wireless sensor networks.	IPSN	2007	DBLP DOI BibTeX RDF	sensor networks, mobile, localization, lower bounds, Monte Carlo sampling
1	Steven Strachan, John Williamson, Roderick Murray-Smith	Show me the way to Monte Carlo: density-based trajectory navigation.	CHI	2007	DBLP DOI BibTeX RDF	probabilistic display, navigation, tracking, uncertainty, control, feedback, GPS, audio, Monte Carlo, eyes-free
1	Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan, Yici Cai, Xianlong Hong	Statistical model order reduction for interconnect circuits considering spatial correlations.	DATE	2007	DBLP DOI BibTeX RDF
1	Alena Shmygelska	An extremal optimization search method for the protein folding problem: the go-model example.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	go-model, protein folding, extremal optimization
1	Yair Weiss, William T. Freeman	What makes a good model of natural images?	CVPR	2007	DBLP DOI BibTeX RDF
1	Gregory A. Godfrey, John Cunningham, Tuan Tran	A Bayesian, Nonlinear Particle Filtering Approach for Tracking the State of Terrorist Operations.	ISI	2007	DBLP DOI BibTeX RDF
1	Amith Singhee, Rob A. Rutenbar	From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit Analysis.	ISQED	2007	DBLP DOI BibTeX RDF
1	Feng Zhu, Xianda Zhang, Yafeng Hu, Deguang Xie	Nonstationary Hidden Markov Models for Multiaspect Discriminative Feature Extraction From Radar Targets.	IEEE Transactions on Signal Processing	2007	DBLP DOI BibTeX RDF
1	Sheng Liu, Jian Zhang 0001, Binhai Zhu	Volume Computation Using a Direct Monte Carlo Method.	COCOON	2007	DBLP DOI BibTeX RDF
1	Yaohang Li, Michael Mascagni, Andrey Gorin	Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG.	ICCSA	2007	DBLP DOI BibTeX RDF	Parallel Tempering, Parallel Programming, Monte Carlo Methods
1	Paul G. Constantine, David Gleich	Using Polynomial Chaos to Compute the Influence of Multiple Random Surfers in the PageRank Model.	WAW	2007	DBLP DOI BibTeX RDF
1	Ying He 0003, Edwin K. P. Chong	Sensor scheduling for target tracking: A Monte Carlo sampling approach.	Digital Signal Processing	2006	DBLP DOI BibTeX RDF
1	Ivan Tomov Dimov, Anton A. Penzov, Stanislava S. Stoilova	Parallel Monte Carlo Sampling Scheme for Sphere and Hemisphere.	Numerical Methods and Applications	2006	DBLP DOI BibTeX RDF
1	Jeff Linderoth, Alexander Shapiro, Stephen Wright	The empirical behavior of sampling methods for stochastic programming.	Annals OR	2006	DBLP DOI BibTeX RDF	Stochastic linear programming, Sample average approximations, Optimality gap, Statistical KKT test, Computational grid, Monte Carlo sampling, Recourse
1	Jörgen Blomvall, Alexander Shapiro	Solving multistage asset investment problems by the sample average approximation method.	Math. Program.	2006	DBLP DOI BibTeX RDF	Asset allocation, SAA method, Statistical bounds, Stochastic programming, Monte Carlo sampling
1	Saumya Chandra, Kanishka Lahiri, Anand Raghunathan, Sujit Dey	Considering process variations during system-level power analysis.	ISLPED	2006	DBLP DOI BibTeX RDF	system-on-chip, low power design, process variations, power analysis, power estimation
1	John Williamson, Steven Strachan, Roderick Murray-Smith	It's a long way to Monte Carlo: probabilistic display in GPS navigation.	Mobile HCI	2006	DBLP DOI BibTeX RDF	probabilistic display, navigation, uncertainty, feedback, GPS, audio, Monte Carlo
1	Achal Bassamboo, Sandeep Juneja	Optimal resource allocation in two stage sampling of input distributions.	Winter Simulation Conference	2006	DBLP DOI BibTeX RDF
1	Shane S. Drew, Tito Homem-de-Mello	Quasi-Monte Carlo strategies for stochastic optimization.	Winter Simulation Conference	2006	DBLP DOI BibTeX RDF
1	Joshua Podolak, Philip Shilane, Aleksey Golovinskiy, Szymon Rusinkiewicz, Thomas A. Funkhouser	A planar-reflective symmetry transform for 3D shapes.	ACM Trans. Graph.	2006	DBLP DOI BibTeX RDF	segmentation, matching, registration, symmetry, shape analysis, viewpoint selection
1	Yi Liu, Hongbin Zha, Hong Qin	Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval.	CVPR	2006	DBLP DOI BibTeX RDF	partial shape retrieval, a bag-of-words model, probabilistic text analysis, Shape representation
1	Sungmin Kim, Chang-Beom Park, Seong-Whan Lee	Tracking 3D Human Body using Particle Filter in Moving Monocular Camera.	ICPR	2006	DBLP DOI BibTeX RDF
1	Li Tian, Sei-ichiro Kamata	An Efficient Algorithm for Point Matching Using Hilbert Scanning Distance.	ICPR	2006	DBLP DOI BibTeX RDF
1	Rohit Ananthakrishna, Shabbir H. Batterywala	MoM - A Process Variation Aware Statistical Capacitance Extractor.	VLSI Design	2006	DBLP DOI BibTeX RDF
1	Konrad Schindler, David Suter	Two-View Multibody Structure-and-Motion with Outliers through Model Selection.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	3D motion segmentation, model selection, Dynamic scenes, structure-and-motion
1	Konrad Schindler, James U, Hanzi Wang	Perspective n-View Multibody Structure-and-Motion Through Model Selection.	ECCV	2006	DBLP DOI BibTeX RDF
1	Ilya Baran, Erik D. Demaine, Dmitriy A. Katz	Optimally Adaptive Integration of Univariate Lipschitz Functions.	LATIN	2006	DBLP DOI BibTeX RDF
1	Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin	Confidence in Classification: A Bayesian Approach.	J. Classification	2006	DBLP DOI BibTeX RDF
1	Asaf Amit, Shaul Markovitch	Learning to bid in bridge.	Machine Learning	2006	DBLP DOI BibTeX RDF	Partner modeling, Learning to cooperate, Bridge, Opponent modeling
1	Güzin Bayraksan, David P. Morton	Assessing solution quality in stochastic programs.	Math. Program.	2006	DBLP DOI BibTeX RDF	Mathematics Subject Classification (1991) 90C15
1	Abhijeet Ghosh, Wolfgang Heidrich	Correlated visibility sampling for direct illumination.	The Visual Computer	2006	DBLP DOI BibTeX RDF	Ray tracing, Monte Carlo techniques
1	Wolfgang Jank	Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM.	Computational Statistics & Data Analysis	2005	DBLP DOI BibTeX RDF
1	Charles Florin, James Williams, Ali Khamene, Nikos Paragios	Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling.	CVBIA	2005	DBLP DOI BibTeX RDF
1	Shane S. Drew, Tito Homem-de-Mello	Some large deviations results for Latin hypercube sampling.	Winter Simulation Conference	2005	DBLP DOI BibTeX RDF
1	Phlip Tomson, Garrison W. Greenwood	Using ant colony optimization to find low energy atomic cluster structures.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Konrad Schindler, David Suter	Two-View Multibody Structure-and-Motion with Outliers.	CVPR	2005	DBLP DOI BibTeX RDF
1	Vinay Seshadri, Gergely V. Záruba, Manfred Huber	A Bayesian Sampling Approach to In-Door Localization of Wireless Devices Using Received Signal Strength Indication.	PerCom	2005	DBLP DOI BibTeX RDF
1	Kyu Baek Hwang, Byoung-Tak Zhang	Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2005	DBLP DOI BibTeX RDF
1	Yufei Huang, Jianqiu Zhang, Petar M. Djuric	Bayesian detection for BLAST.	IEEE Transactions on Signal Processing	2005	DBLP DOI BibTeX RDF
1	Lakshman Prasad, Alexei N. Skourikhine	Vectorized Image Segmentation via Trixel Agglomeration.	GbRPR	2005	DBLP DOI BibTeX RDF
1	Charles Florin, Nikos Paragios, James Williams	Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries.	MICCAI	2005	DBLP DOI BibTeX RDF
1	Nate Blaylock, James F. Allen	Generating Artificial Corpora for Plan Recognition.	User Modeling	2005	DBLP DOI BibTeX RDF
1	Krishna Chepuri, Tito Homem-de-Mello	Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method.	Annals OR	2005	DBLP DOI BibTeX RDF	stochastic optimization, vehicle routing problem, cross-entropy method
1	J. Ross Beveridge, David S. Bolme, Bruce A. Draper, Marcio Teixeira	The CSU Face Identification Evaluation System.	Mach. Vis. Appl.	2005	DBLP DOI BibTeX RDF	Statistical tools, Evaluation, Face recognition
1	Hong Guo, Wen-Chi Hou, Feng Yan, Qiang Zhu	A Monte Carlo Sampling Method for Drawing Representative Samples from Large Databases.	SSDBM	2004	DBLP DOI BibTeX RDF
1	Michael Egmont-Petersen	Feature Selection by Markov Chain Monte Carlo Sampling - A Bayesian Approach.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
1	Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas	A probabilistic approach to inference with limited information in sensor networks.	IPSN	2004	DBLP DOI BibTeX RDF
1	Jiayong Zhang, Robert T. Collins, Yanxi Liu	Representation and Matching of Articulated Shapes.	CVPR	2004	DBLP DOI BibTeX RDF
1	Balázs Csébfalvi	Interactive Transfer Function Control for Monte Carlo Volume Rendering.	VolVis	2004	DBLP DOI BibTeX RDF	Monte Carlo volume rendering, importance sampling, progressive refinement
1	Julien Sénégas, Thomas Netsch, Chris A. Cocosco, Gunnar Lund, Alexander Stork	Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective.	ECCV Workshops CVAMIA and MMBIA	2004	DBLP DOI BibTeX RDF
1	Ke Yin, Ian Davidson	An Information Theoretic Optimal Classifier for Semi-supervised Learning.	IDEAL	2004	DBLP DOI BibTeX RDF
1	Felix Woelk, Reinhard Koch	Robust Monocular Detection of Independent Motion by a Moving Observer.	IWCM	2004	DBLP DOI BibTeX RDF
1	Michael Egmont-Petersen, Wim de Jonge, Arno Siebes	Discovery of Regulatory Connections in Microarray Data.	PKDD	2004	DBLP DOI BibTeX RDF
1	Tsung I. Lin, Jack C. Lee, Huey F. Ni	Bayesian analysis of mixture modelling using the multivariate t distribution.	Statistics and Computing	2004	DBLP DOI BibTeX RDF	t mixture model, maximum likelihood estimation, MCMC, maximum a posteriori, ECM, ECME
1	Scott Brown, Teresa Head-Gordon	Cool walking: A new Markov chain Monte Carlo sampling method.	Journal of Computational Chemistry	2003	DBLP DOI BibTeX RDF