Search results for "Markov chain Monte Carlo"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Tetsuya Takaishi	Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme.	ICIC	2009	DBLP DOI BibTeX RDF	GJR-GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hasting algorithm
3	Tetsuya Takaishi	An Adaptive Markov Chain Monte Carlo Method for GARCH Model.	Complex	2009	DBLP DOI BibTeX RDF	GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm
3	Thomas Peyret, Kannan Krishnan	Markov chain Monte Carlo simulation of biomonitoring in humans: application to biomarkers of chronic exposure to alkyl benzenes in the environment.	SpringSim	2008	DBLP DOI BibTeX RDF	PBPK modeling, alkyl benzenes, steady-state pharmacokinetics, Markov chain Monte Carlo, Bayesian analysis
3	Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone	Markov Chain Monte Carlo in small worlds.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm
3	Cajo J. F. ter Braak	A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm
3	Paul Gustafson, Ying C. MacNab, Sijin Wen	On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms.	Statistics and Computing	2004	DBLP DOI BibTeX RDF	hybrid Monte Carlo, Langevin Monte Carlo, random walk suppression, Markov chain Monte Carlo, Metropolis-Hastings algorithm
3	Matt Whiley, Simon P. Wilson	Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models.	Statistics and Computing	2004	DBLP DOI BibTeX RDF	parallel algorithms, Bayesian inference, Markov chain Monte Carlo, linear algebra, spatial modelling, latent models
3	Zhuowen Tu, Song Chun Zhu	Image Segmentation by Data-Driven Markov Chain Monte Carlo.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	Image segmentation, edge detection, Markov random field, Markov Chain Monte Carlo, data clustering, region competition
3	Hong-Tu Zhu, Sik-Yum Lee	Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	completed-data log-likelihood, generalized linear mixed model, salamander data, Markov chain Monte-Carlo, stochastic approximation, Metropolis-Hastings algorithm
3	Song Chun Zhu, Xiuwen Liu, Ying Nian Wu	Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture.	IEEE Trans. Pattern Anal. Mach. Intell.	2000	DBLP DOI BibTeX RDF	Gibbs ensemble, Julesz ensemble, texture synthesis, Markov chain Monte Carlo, texture modeling
2	Wei Yeang Kow, Wei Leong Khong, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo	Adaptive Tracking of Overlapping Vehicles Via Markov Chain Monte Carlo with CUSUM Path Plot Algorithm.	CICSyN	2011	DBLP DOI BibTeX RDF	Markov Chain Monte Carlo (MCMC), Cumulative Sum (CUSUM) Path Plot
2	Benjamin Perret, Vincent Mazet, Christophe Collet, Éric Slezak	Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms.	SCIA	2009	DBLP DOI BibTeX RDF	multispectral image processing, galaxy classification, Bayesian inference, MCMC
2	Trung-Dung Vu, Olivier Aycard	Laser-based detection and tracking moving objects using data-driven Markov chain Monte Carlo.	ICRA	2009	DBLP DOI BibTeX RDF
2	Nathan Kitchen, Andreas Kuehlmann	A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints.	CAV	2009	DBLP DOI BibTeX RDF
2	Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu	A social recommendation framework based on multi-scale continuous conditional random fields.	CIKM	2009	DBLP DOI BibTeX RDF	multi-scale continuous conditional random fields, collaborative filtering, markov chain monte carlo, social recommendation
2	Colin Chen, Keming Yu	Automatic Bayesian quantile regression curve fitting.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Asymmetric Laplace distribution, Quantile regression, Reversible jump Markov chain Monte Carlo, Splines, Piecewise polynomials
2	Yanan Fan, Gareth W. Peters, Scott A. Sisson	Automating and evaluating reversible jump MCMC proposal distributions.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Between-model mappings, Path sampling, Transdimensional MCMC, Markov chain Monte Carlo, Density estimation, Reversible jump
2	David J. Lunn, Nicky Best, John C. Whittaker	Generic reversible jump MCMC using graphical models.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Trans-dimensional model, WinBUGS, Graphical model, Directed acyclic graph, Markov chain Monte Carlo, Reversible jump
2	Debasish Roy, Geoff Nicholls, Colin Fox	Imaging convex quadrilateral inclusions in uniform conductors from electrical boundary measurements.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Bayesian inference, Markov chain Monte Carlo, Inverse problem, Boundary value problem, Electrical impedance tomography
2	Soren J. Henriksen, Brett Ninness, Steven R. Weller	Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection.	IEEE Journal on Selected Areas in Communications	2008	DBLP DOI BibTeX RDF
2	Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar	Border Sampling through Coupling Markov Chain Monte Carlo.	ICDM	2008	DBLP DOI BibTeX RDF
2	Daniel Valdes-Amaro, Abhir Bhalerao	To Boldly Split: Partitioning Space Filling Curves by Markov Chain Monte Carlo Simulation.	MICAI	2008	DBLP DOI BibTeX RDF
2	Fangpeng Qiu, Jinlong Zhang, Haibo Yan	An Adaptive Markov Chain Monte Carlo Algorithm for TSP.	CSSE	2008	DBLP DOI BibTeX RDF
2	Ruslan Salakhutdinov, Andriy Mnih	Bayesian probabilistic matrix factorization using Markov chain Monte Carlo.	ICML	2008	DBLP DOI BibTeX RDF
2	Khaled Khairy, Emmanuel Reynaud, Ernst Stelzer	Detection of Deformable Objects in 3D Images Using Markov-Chain Monte Carlo and Spherical Harmonics.	MICCAI	2008	DBLP DOI BibTeX RDF
2	Peter C. Richter	The Quantum Complexity of Markov Chain Monte Carlo.	CiE	2008	DBLP DOI BibTeX RDF
2	Narges Bani Asadi, Teresa H. Y. Meng, Wing H. Wong	Reconfigurable computing for learning Bayesian networks.	FPGA	2008	DBLP DOI BibTeX RDF	Bayesian networks, reconfigurable computing, Markov chain Monte Carlo
2	Tao Zhao, Ramakant Nevatia, Bo Wu	Segmentation and Tracking of Multiple Humans in Crowded Environments.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Multiple Human Segmentation, Multiple Human Tracking, Markov chain Monte Carlo
2	Tetsuya Takaishi	Financial Time Series Analysis of SV Model by Hybrid Monte Carlo.	ICIC	2008	DBLP DOI BibTeX RDF	Hybrid Monte Carlo Algorithm, Stochastic Volatility Model, Financial Data Analysis, Bayesian Inference, Markov Chain Monte Carlo
2	Shuji Kijima, Tomomi Matsui	Randomized approximation scheme and perfect sampler for closed Jackson networks with multiple servers.	Annals OR	2008	DBLP DOI BibTeX RDF	Fully polynomial-time randomized approximation scheme, Queueing network, Markov chain Monte Carlo, Perfect simulation, Product form solution
2	Harri Lähdesmäki, Ilya Shmulevich	Learning the structure of dynamic Bayesian networks from time series and steady state measurements.	Machine Learning	2008	DBLP DOI BibTeX RDF	Trans-dimensional Markov chain Monte Carlo, Bayesian inference, Markov chain Monte Carlo, Dynamic Bayesian networks, Steady state analysis
2	Qingping Tao, Stephen D. Scott	Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.	Machine Learning	2008	DBLP DOI BibTeX RDF	Markov chain Monte Carlo, DNF, Winnow
2	Xiaoling Ou, Elaine Martin	Batch process modelling with mixtures of Gaussian processes.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	Mixture model, Markov chain Monte Carlo, Gaussian processes, Batch processes
2	Bo Cai, Renate Meyer, François Perron	Metropolis-Hastings algorithms with adaptive proposals.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Adaptive rejection Metropolis sampling, Non-conjugate distribution, Bayesian inference, Markov chain Monte Carlo, State-space model
2	Richard Gerlach, Cathy W. S. Chen	Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Mixture normal, Posterior model probability, Asymmetric volatility model, Smooth transition, Value-at-Risk, Markov chain Monte Carlo method
2	Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov	Adaptive independence samplers.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods
2	Qian Yu, Gérard G. Medioni, Isaac Cohen	Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association.	CVPR	2007	DBLP DOI BibTeX RDF
2	Kazuhiro Otsuka, Hiroshi Sawada, Junji Yamato	Automatic inference of cross-modal nonverbal interactions in multiparty conversations: "who responds to whom, when, and how?" from gaze, head gestures, and utterances.	ICMI	2007	DBLP DOI BibTeX RDF	face-to-face multiparty conversation, bayesian network, markov chain Monte Carlo, eye gaze, nonverbal behaviors, semi-Markov process, gibbs sampler, head gestures
2	Ali Taylan Cemgil	Bayesian methods for multimedia signal processing.	ACM Multimedia	2007	DBLP DOI BibTeX RDF	multimedia signal processing, bayesian networks, graphical models, markov chain monte carlo, factor graphs, sequential monte carlo, variational bayes
2	Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassiou	Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models.	IEEE/ACM Trans. Comput. Biology Bioinform.	2007	DBLP DOI BibTeX RDF	Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing
2	Kaiqiong Sun, Nong Sang, Tianxu Zhang	Marked Point Process for Vascular Tree Extraction on Angiogram.	EMMCVPR	2007	DBLP DOI BibTeX RDF	Angiogram, Vascular tree, Marked point process, Segmentation, Markov Chain Monte Carlo, Stochastic geometry
2	Hotaka Takizawa	3-D Shape Reconstruction from Stereovision Data Using Object-Consisted Markov Random Field Model.	ICONIP	2007	DBLP DOI BibTeX RDF	3-D Shape reconstruction, Markov Chain Monte Carlo, Object models, Stereovision, Markov Random Field model
2	Ajay Jasra, David A. Stephens, Christopher C. Holmes	On population-based simulation for static inference.	Statistics and Computing	2007	DBLP DOI BibTeX RDF	Bayesian mixture models, Markov chain Monte Carlo, Adaptive methods, Sequential Monte Carlo
2	Agostino Nobile, Alastair T. Fearnside	Bayesian finite mixtures with an unknown number of components: The allocation sampler.	Statistics and Computing	2007	DBLP DOI BibTeX RDF	Galaxy data, Iris data, Multivariate normal mixtures, Normal mixtures, Classification, Markov chain Monte Carlo, Reversible jump, Label switching
2	Daigo Muramatsu, Mitsuru Kondo, Masahiro Sasaki, Satoshi Tachibana, Takashi Matsumoto	A Markov chain Monte Carlo algorithm for bayesian dynamic signature verification.	IEEE Transactions on Information Forensics and Security	2006	DBLP DOI BibTeX RDF
2	Behrouz Farhang-Boroujeny, Haidong Zhu, Zhenning Shi	Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems.	IEEE Transactions on Signal Processing	2006	DBLP DOI BibTeX RDF
2	Yun Zhai, Mubarak Shah	Video Scene Segmentation Using Markov Chain Monte Carlo.	IEEE Transactions on Multimedia	2006	DBLP DOI BibTeX RDF
2	Jing Tian, Kai-Kuang Ma	Markov Chain Monte Carlo Super-Resolution Image Reconstruction with Simultaneous Adaptation of the Prior Image Model.	PCM	2006	DBLP DOI BibTeX RDF
2	Quan Wen, Jean Gao, Kate Luby-Phelps	Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters.	ICPR	2006	DBLP DOI BibTeX RDF
2	Qian Yu, Isaac Cohen, Gérard G. Medioni, Bo Wu	Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking.	ICPR	2006	DBLP DOI BibTeX RDF
2	Jing Tian, Kai-Kuang Ma	Markov Chain Monte Carlo Super-resolution Image Reconstruction With Artifacts Suppression.	APCCAS	2006	DBLP DOI BibTeX RDF
2	Christophe Andrieu, Y. F. Atchadé	On the efficiency of adaptive MCMC algorithms.	VALUETOOLS	2006	DBLP DOI BibTeX RDF	adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm
2	Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret	ODE methods for Markov chain stability with applications to MCMC.	VALUETOOLS	2006	DBLP DOI BibTeX RDF	fluid limit stability, fluid limits for general state-space Markov chains, Markov chain Monte-Carlo, metropolis-hastings algorithm
2	Zia Khan, Tucker R. Balch, Frank Dellaert	MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	downdating, merged measurements, particle filter, updating, Markov chain Monte Carlo, QR factorization, multitarget tracking, Rao-Blackwellized, linear least squares, laser range scanner
2	Mun Wai Lee, Isaac Cohen	A Model-Based Approach for Estimating Human 3D Poses in Static Images.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Three-dimensional human pose estimation from static images, body parts detector, data driven Markov chain Monte Carlo, generative models
2	Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson	Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms.	ISVC	2006	DBLP DOI BibTeX RDF	3D ranging and imaging, reversible jump Markov chain Monte Carlo, multi-layered image, time-correlated single photon counting, burst illumination laser, Markov random fields
2	Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov	Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences.	KES	2006	DBLP DOI BibTeX RDF	Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo
2	Zhuowen Tu, Song Chun Zhu	Parsing Images into Regions, Curves, and Curve Groups.	International Journal of Computer Vision	2006	DBLP DOI BibTeX RDF	curve grouping, data-driven Markov chain Monte Carlo, Metropolized Gibbs sampler, image segmentation, graph partition, perceptual organization
2	Robert G. Aykroyd, Brain A. Cattle	A flexible statistical and efficient computational approach to object location applied to electrical tomography.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Electrical tomography, Markov chain Monte Carlo, Inverse problems, Boundary element methods, Bayesian statistics
2	Jukka Corander, Mats Gyllenberg, Timo Koski	Bayesian model learning based on a parallel MCMC strategy.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Markov chain Monte Carlo, Bayesian analysis, Parallel search, Model learning
2	Petros Dellaportas, Ioulia Papageorgiou	Multivariate mixtures of normals with unknown number of components.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Classification, Prediction, Bayesian inference, Markov chain Monte Carlo, Reversible jump
2	G. J. Gibson, Wilfred Otten, João A. N. Filipe, Alex R. Cook, G. Marion, Christopher A. Gilligan	Bayesian estimation for percolation models of disease spread in plant populations.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Fungal pathogens, Stochastic modelling, Bayesian inference, Markov chain Monte Carlo, Spatio-temporal modeling
2	Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman	DRAM: Efficient adaptive MCMC.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Adaptive Markov chain Monte Carlo, Adaptive Metropolis-Hastings, Delayed rejection, Efficiency ordering
2	Sanghamitra Bandyopadhyay	Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF
2	Marko Salmenkivi, Heikki Mannila	Using Markov chain Monte Carlo and dynamic programming for event sequence data.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Data mining, Dynamic programming, MCMC, Event sequence
2	Mun Wai Lee, Ramakant Nevatia	Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach.	WACV/MOTION	2005	DBLP DOI BibTeX RDF
2	Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen	A Method Based on the Markov Chain Monte Carlo for Fingerprint Image Segmentation.	FSKD	2005	DBLP DOI BibTeX RDF
2	Zia Khan, Tucker R. Balch, Frank Dellaert	MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	Markov random fields, Particle filters, Markov chain Monte Carlo, multitarget tracking
2	Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis	Bayesian analysis of the unobserved ARCH model.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables
2	David J. Nott, Anthony Y. C. Kuk, Hiep Duc	Efficient sampling schemes for Bayesian MARS models with many predictors.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	multivariate adaptive regression splines, high-dimensional regression, Bayesian inference, Markov chain Monte Carlo, nonparametric regression
2	J. Q. Shi, Roderick Murray-Smith, D. M. Titterington	Hierarchical Gaussian process mixtures for regression.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	hybrid Markov chain Monte Carlo, nonparametric curve fitting, heterogeneity, mixture models, Gaussian process
2	Atsushi Matsui, Simon Clippingdale, Fumiki Uzawa, Takashi Matsumoto	Bayesian Face Recognition using a Markov Chain Monte Carlo Method.	ICPR	2004	DBLP DOI BibTeX RDF
2	Takuya Murakita, Tetsushi Ikeda, Hiroshi Ishiguro	Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method.	ICPR	2004	DBLP DOI BibTeX RDF
2	Michael Egmont-Petersen	Feature Selection by Markov Chain Monte Carlo Sampling - A Bayesian Approach.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
2	Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang	Bayesian marginal inference via candidate's formula.	Statistics and Computing	2004	DBLP DOI BibTeX RDF	marginal likelihood, marginal likelihood identity, Markov chain Monte Carlo, kernel density estimation, Gibbs sampler, Metropolis-Hasting algorithm, Bayes factor
2	Zhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen	Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm.	Statistics and Computing	2004	DBLP DOI BibTeX RDF	reversible jump methodology, split and combine moves, Gaussian mixture model, Bayesian inference, model selection, Markov chain Monte Carlo
2	Jonathan J. Forster, John W. McDonald, Peter W. F. Smith	Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models.	Statistics and Computing	2003	DBLP DOI BibTeX RDF	conditional inference, exact confidence interval, exact test, Markov chain Monte Carlo, logistic regression, Metropolis-Hastings algorithm, goodness-of-fit test, residual analysis
2	Madalina M. Drugan, Dirk Thierens	Evolutionary Markov Chain Monte Carlo.	Artificial Evolution	2003	DBLP DOI BibTeX RDF
2	Anke Neumann	Graphical Gaussian Shape Models and Their Application to Image Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Bookstein coordinates, graphical Gaussian models, Bayesian image segmentation, Markov chain Monte Carlo sampling methods, slice sampler, Markov random fields, Shape, Gibbs sampler, conditional independence
2	Greg Ridgeway, David Madigan	A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets.	Data Min. Knowl. Discov.	2003	DBLP DOI BibTeX RDF	massive datasets, particle filter, mixture model, Bayesian inference, Markov chain Monte Carlo, importance sampling
2	Glenn Marion, Gavin Gibson, Eric Renshaw	Estimating likelihoods for spatio-temporal models using importance sampling.	Statistics and Computing	2003	DBLP DOI BibTeX RDF	likelihood estimation, stochastic integration, spatio-temporal stochastic process, incomplete observations, Markov chain Monte Carlo, importance sampling
2	Arnaud Doucet, Simon J. Godsill, Christian P. Robert	Marginal maximum a posteriori estimation using Markov chain Monte Carlo.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	simulated annealing, missing data, deconvolution, data augmentation, Bayesian computation
2	Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen	Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search.	ICPR	2002	DBLP DOI BibTeX RDF
2	Julien Sénégas	A Markov Chain Monte Carlo Approach to Stereovision.	ECCV	2002	DBLP DOI BibTeX RDF	uncertainty estimation, inverse problems, disparity, stereoscopic vision, digital terrain models, sampling algorithms, Bayesian computation
2	Bjorn Braathen, Marian Stewart Bartlett, Gwen Littlewort, Evan Smith, Javier R. Movellan	An Approach to Automatic Recognition of Spontaneous Facial Actions. (PDF / PS)	FGR	2002	DBLP DOI BibTeX RDF	3D pose, spontaneous facial expressions, hidden Markov models, particle filtering, Gabor wavelets, Facial expression recognition, head pose estimation, Markov chain Monte-Carlo methods, Facial action coding system, FACS
2	Cristian Sminchisescu, Bill Triggs	Hyperdynamics Importance Sampling.	ECCV	2002	DBLP DOI BibTeX RDF	Hyperdynamics, global optimization, Markov-chain Monte Carlo, importance sampling, human tracking
2	Anthony N. Pettitt, I. S. Weir, A. G. Hart	A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	conditional autoregression, Markov chain Monte Carlo, spatio-temporal, Bayesian analysis, multivariate data, spatial statistics, binary data
2	Stephen J. Roberts, Christopher Holmes, Dave Denison	Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	Unsupervised data analysis, reversible-jump Markov Chain Monte Carlo, mixture models, Bayesian analysis, number of clusters
2	Takehiro Nishiyama, Kazuo Tsuchiya, Katsuyoshi Tsujita	A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations.	ICANN	2001	DBLP DOI BibTeX RDF
2	Stephen J. Roberts, Christopher Holmes, Dave Denison	Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo.	ICANN	2001	DBLP DOI BibTeX RDF
2	Serafín Moral, Rafael Rumí, Antonio Salmerón	Mixtures of Truncated Exponentials in Hybrid Bayesian Networks.	ECSQARU	2001	DBLP DOI BibTeX RDF	Hybrid Bayesian networks, MTE distribution, MTE networks, probability propagation, Markov chain Monte Carlo
2	Simon Moss, Edwin R. Hancock	Alignment and Correspondence Using Markov Chain Monte Carlo.	ICPR	2000	DBLP DOI BibTeX RDF
2	Roman Hovorka	Deconvolution and Credible Intervals Using Markov Chain Monte Carlo Method.	ISMDA	2000	DBLP DOI BibTeX RDF
2	Song Chun Zhu, Rong Zhang, Zhuowen Tu	Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. (PDF / PS)	CVPR	2000	DBLP DOI BibTeX RDF
2	Stephen Chenney, David A. Forsyth	Sampling plausible solutions to multi-body constraint problems.	SIGGRAPH	2000	DBLP DOI BibTeX RDF	plausible motion, Markov chain Monte Carlo, motion synthesis, spacetime constraints
2	Keith Copsey, Andrew Webb	Bayesian Approach to Mixture Models for Discrimination.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	Inverse Synthetic Aperture Radar, Mixture models, Bayesian inference, Markov chain Monte Carlo, Discrimination, Target recognition
2	David A. Forsyth	Sampling, Resampling and Colour Constancy. (PDF / PS)	CVPR	1999	DBLP DOI BibTeX RDF	Inference, Markov chain Monte Carlo, Probabilistic reasoning, Colour constancy
2	Wu-Lin Chen, Colm Art O'Cinneide	Towards a Polynomial-Time Randomized Algorithm for Closed Product-Form Networks.	ACM Trans. Model. Comput. Simul.	1998	DBLP DOI BibTeX RDF	closed product-form multiclass networks, repid mixing, simulation, Markov chain Monte Carlo
2	Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao	Bayesian Function Learning Using MCMC Methods.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods
2	David Ríos Insua, Michael P. Wiper, Fabrizio Ruggeri	Bayesian analysis of M/Er/1 and M/Hk/1 queues.	Queueing Syst.	1998	DBLP DOI BibTeX RDF	M/Er/1, M/H_k/1, Metropolis sampling, Monte Carlo, Markov chain Monte Carlo, Gibbs sampling, Bayesian analysis, reversible jump