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Publication years (Num. hits)
1996-1999 (20) 2000-2001 (32) 2002 (32) 2003 (23) 2004 (34) 2005 (37) 2006 (59) 2007 (67) 2008 (72) 2009 (48) 2010 (42) 2011 (37) 2012 (61) 2013 (42) 2014 (63) 2015 (55) 2016 (57) 2017 (58) 2018 (59) 2019 (77) 2020 (84) 2021 (69) 2022 (77) 2023 (57) 2024 (19)
Publication types (Num. hits)
article(636) incollection(9) inproceedings(628) phdthesis(8)
Venues (Conferences, Journals, ...)
CoRR(215) Stat. Comput.(63) ICML(33) Comput. Stat. Data Anal.(30) AISTATS(26) ICASSP(26) IEEE Trans. Signal Process.(22) NIPS(21) NeurIPS(18) UAI(18) FUSION(16) EUSIPCO(15) Signal Process.(12) AAAI(11) CVPR(11) ICPR(11) More (+10 of total 412)
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The graphs summarize 377 occurrences of 211 keywords

Results
Found 1281 publication records. Showing 1281 according to the selection in the facets
Hits ? Authors Title Venue Year Link Author keywords
89Wonsik Kim, Joonyoung Park, Kyoung Mu Lee Stereo Matching Using Population-Based MCMC. Search on Bibsonomy Int. J. Comput. Vis. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Population-based MCMC, Stereo, Energy minimization
89Christophe Andrieu, Yves F. Atchadé On the efficiency of adaptive MCMC algorithms. Search on Bibsonomy VALUETOOLS The full citation details ... 2006 DBLP  DOI  BibTeX  RDF adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm
85Christophe Andrieu, Johannes Thoms A tutorial on adaptive MCMC. Search on Bibsonomy Stat. Comput. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Adaptive MCMC, Controlled Markov chain, Stochastic approximation, MCMC
67Marco Grzegorczyk, Dirk Husmeier Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. Search on Bibsonomy Mach. Learn. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF MCMC sampling, Bayesian networks, Structure learning
59Joonyoung Park, Wonsik Kim, Kyoung Mu Lee Stereo Matching Using Population-Based MCMC. Search on Bibsonomy ACCV (2) The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
59István Miklós, Timothy Brooks Paige, Péter Ligeti Efficient Sampling of Transpositions and Inverted Transpositions for Bayesian MCMC. Search on Bibsonomy WABI The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
59Carsten Riggelsen MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition. Search on Bibsonomy ECML The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
56Xin He, Brian S. Caffo, Eric C. Frey Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems. Search on Bibsonomy IEEE Trans. Medical Imaging The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
56Cajo J. F. ter Braak A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces. Search on Bibsonomy Stat. Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm
56Madalina M. Drugan, Dirk Thierens Evolutionary Markov Chain Monte Carlo. Search on Bibsonomy Artificial Evolution The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
55Ramesh Ram, Madhu Chetty MCMC Based Bayesian Inference for Modeling Gene Networks. Search on Bibsonomy PRIB The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Bayesian network, parameter estimation, gene expression, MCMC
55José G. Dias, Michel Wedel An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. Search on Bibsonomy Stat. Comput. The full citation details ... 2004 DBLP  DOI  BibTeX  RDF SEM algorithm, hierarchical prior, EM algorithm, Gaussian mixture models, MCMC, loss functions, label switching, conjugate prior
52Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. Search on Bibsonomy Int. J. Comput. Vis. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Trajectory analysis, Time-series, MCMC, Probabilistic graphical models, Biology, Behavior recognition
48Paul Fearnhead Computational methods for complex stochastic systems: a review of some alternatives to MCMC. Search on Bibsonomy Stat. Comput. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Particle filter, Diffusions, Importance sampling, Missing data, Forward-backward algorithm, Population genetics
48Iker Zuriarrain, Frédéric Lerasle, Nestor Arana-Arejolaleiba, Michel Devy An MCMC-based particle filter for multiple person tracking. Search on Bibsonomy ICPR The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
48Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. Bhalerao Reducing the run-time of MCMC programs by multithreading on SMP architectures. Search on Bibsonomy IPDPS The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
48Katrin Sommer, Claus Weihs Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound. Search on Bibsonomy GfKl The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
48Zia Khan, Tucker R. Balch, Frank Dellaert MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF Markov random fields, Particle filters, Markov chain Monte Carlo, multitarget tracking
48Jing Tian 0002, Kai-Kuang Ma A MCMC approach for Bayesian super-resolution image reconstruction. Search on Bibsonomy ICIP (1) The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
45Jing Tian 0002, Kai-Kuang Ma Super-resolution Imaging Using Grid Computing. Search on Bibsonomy CCGRID The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
45Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone Markov Chain Monte Carlo in small worlds. Search on Bibsonomy Stat. Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm
45Behrouz Farhang-Boroujeny, Haidong Zhu, Zhenning Shi Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems. Search on Bibsonomy IEEE Trans. Signal Process. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
45Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis Bayesian analysis of the unobserved ARCH model. Search on Bibsonomy Stat. Comput. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables
45Lars Arvestad, Ann-Charlotte Berglund, Jens Lagergren, Bengt Sennblad Gene tree reconstruction and orthology analysis based on an integrated model for duplications and sequence evolution. Search on Bibsonomy RECOMB The full citation details ... 2004 DBLP  DOI  BibTeX  RDF gene tree, orthology, algorithms, bayesian analysis, reconciliation
44Yanan Fan, Gareth W. Peters, Scott A. Sisson Automating and evaluating reversible jump MCMC proposal distributions. Search on Bibsonomy Stat. Comput. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Between-model mappings, Path sampling, Transdimensional MCMC, Markov chain Monte Carlo, Density estimation, Reversible jump
44Huaizhong Zhang, E. Patricia Rodriguez, Philip J. Morrow, Sally I. McClean, Kurt Saetzler MCMC-Based Algorithm to Adjust Scale Bias in Large Series of Electron Microscopical Ultrathin Sections. Search on Bibsonomy CAIP The full citation details ... 2009 DBLP  DOI  BibTeX  RDF scale bias, image registration, hierarchical model, stochastic simulation, MCMC
41Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou DECODE: a new method for discovering clusters of different densities in spatial data. Search on Bibsonomy Data Min. Knowl. Discov. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Data mining, Nearest neighbor, MCMC, Point process, Earthquake, Reversible jump
41Yuan Ren 0002, Yu Ding 0002, Faming Liang Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. Search on Bibsonomy Stat. Comput. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Adaptive MCMC, Evolutionary Monte Carlo, Data mining, Global optimization
41Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models. Search on Bibsonomy IEEE ACM Trans. Comput. Biol. Bioinform. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing
41David J. Allcroft, Chris A. Glasbey A Spectral Estimator of Arma Parameters from Thresholded Data. Search on Bibsonomy Stat. Comput. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF ARMA process, censoring, cow feeding data, spectral likelihood, tetrachoric correlation, simulation, MCMC
41Heikki Mannila, Marko Salmenkivi Finding simple intensity descriptions from event sequence data. Search on Bibsonomy KDD The full citation details ... 2001 DBLP  DOI  BibTeX  RDF intensity modeling, MCMC, event sequence
37Ryo Kurazume, Hiroyuki Yamada, Kouji Murakami, Yumi Iwashita, Tsutomu Hasegawa Target tracking using SIR and MCMC particle filters by multiple cameras and laser range finders. Search on Bibsonomy IROS The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
37Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato Identification of MCMC Samples for Clustering. Search on Bibsonomy LKR The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
37Mark Fleischer Transformations for accelerating MCMC simulations with broken ergodicity. Search on Bibsonomy WSC The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
37Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen Fingerprint Image Segmentation Method Based on MCMC&GA. Search on Bibsonomy ICIAP The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
37Timo Kostiainen, Jouko Lampinen Efficient proposal distributions for MCMC image segmentation. Search on Bibsonomy ICIP The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
37Mun Wai Lee, Isaac Cohen Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images. Search on Bibsonomy CVPR (2) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
37Harvey D. Thornburg, Randal J. Leistikow A New Probabilistic Spectral Pitch Estimator: Exact and MCMC-approximate Strategies. Search on Bibsonomy CMMR The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
37Zia Khan, Tucker R. Balch, Frank Dellaert An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. Search on Bibsonomy ECCV (4) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
37Malcolm J. A. Strens Efficient hierarchical MCMC for policy search. Search on Bibsonomy ICML The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
37Jarkko Venna, Samuel Kaski, Jaakko Peltonen Visualizations for Assessing Convergence and Mixing of MCMC. Search on Bibsonomy ECML The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
37Aki Vehtari, Simo Särkkä, Jouko Lampinen On MCMC Sampling in Bayesian MLP Neural Networks. Search on Bibsonomy IJCNN (1) The full citation details ... 2000 DBLP  DOI  BibTeX  RDF
34Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt Variational Bayes for estimating the parameters of a hidden Potts model. Search on Bibsonomy Stat. Comput. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference
34Nathan Kitchen, Andreas Kuehlmann A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints. Search on Bibsonomy CAV The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
34Tetsuya Takaishi An Adaptive Markov Chain Monte Carlo Method for GARCH Model. Search on Bibsonomy Complex (2) The full citation details ... 2009 DBLP  DOI  BibTeX  RDF GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm
34Takumi Hirata, Hiroyuki Okamura, Tadashi Dohi A Bayesian Inference Tool for NHPP-Based Software Reliability Assessment. Search on Bibsonomy FGIT The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
34Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov Adaptive independence samplers. Search on Bibsonomy Stat. Comput. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods
34Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. Search on Bibsonomy CBMS The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
34Robert G. Aykroyd, Brian A. Cattle A flexible statistical and efficient computational approach to object location applied to electrical tomography. Search on Bibsonomy Stat. Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Electrical tomography, Markov chain Monte Carlo, Inverse problems, Boundary element methods, Bayesian statistics
34Madalina M. Drugan, Dirk Thierens Recombinative EMCMC algorithms. Search on Bibsonomy Congress on Evolutionary Computation The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
34Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen A Method Based on the Markov Chain Monte Carlo for Fingerprint Image Segmentation. Search on Bibsonomy FSKD (2) The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
34David M. Blei, Michael I. Jordan Variational methods for the Dirichlet process. Search on Bibsonomy ICML The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
34Philip H. S. Torr, Colin Davidson IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF structure from motion, importance sampling, Bayesian methods, stereoscopic vision
34Xiaodong Wang, Rong Chen, Jun S. Liu Monte Carlo Bayesian Signal Processing for Wireless Communications. Search on Bibsonomy J. VLSI Signal Process. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF
33Jukka Corander, Magnus Ekdahl, Timo Koski Parallell interacting MCMC for learning of topologies of graphical models. Search on Bibsonomy Data Min. Knowl. Discov. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Equivalence search, Learning graphical models, MCMC
30Nikolaj Tatti Probably the best itemsets. Search on Bibsonomy KDD The full citation details ... 2010 DBLP  DOI  BibTeX  RDF bayesian model selection, decomposable models, exponential models, MCMC, junction tree, itemset mining
30Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka Mixture models for learning low-dimensional roles in high-dimensional data. Search on Bibsonomy KDD The full citation details ... 2010 DBLP  DOI  BibTeX  RDF mixture models, mcmc, high-dimensional data
30John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg Protein Design by Sampling an Undirected Graphical Model of Residue Constraints. Search on Bibsonomy IEEE ACM Trans. Comput. Biol. Bioinform. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF residue coupling, Markov chain Monte Carlo (MCMC), graphical models, Protein design
30Benjamin Perret, Vincent Mazet, Christophe Collet 0001, Éric Slezak Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms. Search on Bibsonomy SCIA The full citation details ... 2009 DBLP  DOI  BibTeX  RDF multispectral image processing, galaxy classification, Bayesian inference, MCMC
30Richard J. Boys, Darren J. Wilkinson, Thomas B. L. Kirkwood Bayesian inference for a discretely observed stochastic kinetic model. Search on Bibsonomy Stat. Comput. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Biochemical networks, Block updating, Lotka-Volterra model, Markov jump process, MCMC methods, Parameter estimation, Systems biology, Reversible jump
30Loukia Meligkotsidou Bayesian multivariate Poisson mixtures with an unknown number of components. Search on Bibsonomy Stat. Comput. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Disease mapping, Multivariate Poisson distribution, Mixture models, Bayesian inference, Reversible jump MCMC
30Zhiguang Shi, Jianxiong Zhou, HongZhong Zhao, Qiang Fu Study on joint Bayesian model selection and parameter estimation method of GTD model. Search on Bibsonomy Sci. China Ser. F Inf. Sci. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF RJ-MCMC, GTD model, scattering centers, model order selection, CRB, parameter estimation, ESPRIT
30Mathias Ortner, Xavier Descombes, Josiane Zerubia Building Outline Extraction from Digital Elevation Models Using Marked Point Processes. Search on Bibsonomy Int. J. Comput. Vis. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF inhomogeneous Poisson point process, dense urban area, laser data, land register, RJMCMC, image processing, simulated annealing, MCMC, stochastic geometry, digital elevation models, building detection
30Andrew Golightly, Darren J. Wilkinson Bayesian sequential inference for nonlinear multivariate diffusions. Search on Bibsonomy Stat. Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Nonlinear stochastic differential equation, Particle filter, Bayesian inference, MCMC
30Paul Fearnhead Exact and efficient Bayesian inference for multiple changepoint problems. Search on Bibsonomy Stat. Comput. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Model choice, Well-log data, Perfect simulation, Forward-backward algorithm, Bayes factor, Reversible jump MCMC
30Craig C. Douglas, Yalchin Efendiev, Richard E. Ewing, Victor Ginting, Raytcho D. Lazarov Dynamic Data Driven Simulations in Stochastic Environments. Search on Bibsonomy Computing The full citation details ... 2006 DBLP  DOI  BibTeX  RDF porous media flow, DDDAS, uncertainty, MCMC, permeability
30Kevin Smith 0001, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez Tracking the multi person wandering visual focus of attention. Search on Bibsonomy ICMI The full citation details ... 2006 DBLP  DOI  BibTeX  RDF head pose tracking, multi-person tracking, MCMC
30Peter Neal, Gareth Roberts A case study in non-centering for data augmentation: Stochastic epidemics. Search on Bibsonomy Stat. Comput. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF stochastic epidemic models, bernoulli random graphs, non-centered and partially non-centered MCMC algorithms, data augmentation
30Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez, Iain McCowan Multimodal multispeaker probabilistic tracking in meetings. Search on Bibsonomy ICMI The full citation details ... 2005 DBLP  DOI  BibTeX  RDF audio-visual speaker tracking, particle filters, MCMC
29Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. Search on Bibsonomy ICLR The full citation details ... 2022 DBLP  BibTeX  RDF
29Masayoshi Takahashi Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. Search on Bibsonomy Data Sci. J. The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
29Tianfan Fu, Zhihua Zhang CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. Search on Bibsonomy AISTATS The full citation details ... 2017 DBLP  BibTeX  RDF
29Florian Stimberg Flexible birth-death MCMC sampler for changepoint models (Flexibler Birth-Death MCMC Sampler für Changepoint-Modelle) Search on Bibsonomy 2016   RDF
26Qingping Tao, Stephen D. Scott 0001 Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning. Search on Bibsonomy Mach. Learn. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Markov chain Monte Carlo, DNF, Winnow
26Tom E. Bishop, Rafael Molina 0001, James R. Hopgood Blind restoration of blurred photographs via AR modelling and MCMC. Search on Bibsonomy ICIP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
26Jun Yan 0002, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. Search on Bibsonomy Stat. Comput. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Parallel computing, Bayesian inference, Markov chain Monte Carlo, Spatial modeling
26Olivier Rabaste, Thierry Chonavel Estimation of Multipath Channels With Long Impulse Response at Low SNR via an MCMC Method. Search on Bibsonomy IEEE Trans. Signal Process. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
26Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering. Search on Bibsonomy ICIP (2) The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
26Tatsuya Osawa, Xiaojun Wu, Kyoko Sudo, Kaoru Wakabayashi, Hiroyuki Arai, Takayuki Yasuno MCMC based multi-body tracking using full 3D model of both target and environment. Search on Bibsonomy AVSS The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
26Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky MCMC Curve Sampling for Image Segmentation. Search on Bibsonomy MICCAI (2) The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
26Zia Khan, Tucker R. Balch, Frank Dellaert MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 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
26Despina Kontos, Vasileios Megalooikonomou, Marc J. Sobel, Qiang Wang 0010 An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data. Search on Bibsonomy SSPR/SPR The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
26Mitsuru Kondo, Daigo Muramatsu, Masahiro Sasaki, Takashi Matsumoto 0001 A Bayesian MCMC On-line Signature Verification. Search on Bibsonomy AVBPA The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
26Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras On Bayesian model and variable selection using MCMC. Search on Bibsonomy Stat. Comput. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings
26Mary Kathryn Cowles MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach. Search on Bibsonomy Stat. Comput. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF agricultural field trials, total variation distance, Bayesian models, Gibbs sampler
26Darren J. Wilkinson, Stephen K. H. Yeung Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models. Search on Bibsonomy Stat. Comput. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF block sampling, linear Bayes models, nested hierarchical random effects, DAG propagation, local computation
26Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla A Bayesian Estimation of Building Shape Using MCMC. Search on Bibsonomy ECCV (2) The full citation details ... 2002 DBLP  DOI  BibTeX  RDF
26Nicos Angelopoulos, James Cussens Prolog Issues and Experimental Results of an MCMC Algorithm. Search on Bibsonomy INAP (LNCS Volume) The full citation details ... 2001 DBLP  DOI  BibTeX  RDF
26Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao Bayesian Function Learning Using MCMC Methods. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 1998 DBLP  DOI  BibTeX  RDF dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods
23Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich Variational Bayesian Inference for a Nonlinear Forward Model. Search on Bibsonomy IEEE Trans. Signal Process. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
23Shuji Kijima, Tomomi Matsui Randomized approximation scheme and perfect sampler for closed Jackson networks with multiple servers. Search on Bibsonomy Ann. Oper. Res. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Fully polynomial-time randomized approximation scheme, Queueing network, Markov chain Monte Carlo, Perfect simulation, Product form solution
23Nicos Angelopoulos, James Cussens Bayesian learning of Bayesian networks with informative priors. Search on Bibsonomy Ann. Math. Artif. Intell. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Mathematics Subject Classifications (2000) 68T05, 68T27
23Kenji Nagata, Sumio Watanabe Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. Search on Bibsonomy IEEE Trans. Neural Networks The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
23Sebastian Höhna, Michael Defoin-Platel, Alexei J. Drummond Clock-constrained tree proposal operators in Bayesian phylogenetic inference. Search on Bibsonomy BIBE The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
23Yu-Chi Lai, Feng Liu 0015, Li Zhang, Charles R. Dyer Efficient Schemes for Monte Carlo Markov Chain Algorithms in Global Illumination. Search on Bibsonomy ISVC (1) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
23Thomas Peyret, Kannan Krishnan Markov chain Monte Carlo simulation of biomonitoring in humans: application to biomarkers of chronic exposure to alkyl benzenes in the environment. Search on Bibsonomy SpringSim The full citation details ... 2008 DBLP  DOI  BibTeX  RDF PBPK modeling, alkyl benzenes, steady-state pharmacokinetics, Markov chain Monte Carlo, Bayesian analysis
23Peter C. Richter The Quantum Complexity of Markov Chain Monte Carlo. Search on Bibsonomy CiE The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
23Craig K. Abbey, John M. Boone An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. Search on Bibsonomy Digital Mammography / IWDM The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Ideal observer, binary texture, breast CT, screening mammography
23Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Search on Bibsonomy Neural Comput. Appl. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
23Øivind Skare, Jesper Møller, Eva Bjørn Vedel Jensen Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks. Search on Bibsonomy Stat. Comput. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Delaunay tessellation, Inhomogeneous point processes, Bayesian inference, Markov chain Monte Carlo, Voronoi tessellation, Poisson process
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