Search results for "pseudolikelihood"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
140	Charles Sutton, Andrew McCallum	Piecewise pseudolikelihood for efficient training of conditional random fields.	ICML	2007	DBLP DOI BibTeX RDF
104	Derek C. Stanford, Adrian E. Raftery	Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC).	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	color image quantization, ICM algorithm, posterior model probability, pseudolikelihood, image segmentation, Markov random field, medical image, mixture model, satellite image, BIC
74	Rongjing Xiang, Jennifer Neville	Pseudolikelihood EM for Within-network Relational Learning.	ICDM	2008	DBLP DOI BibTeX RDF
53	Robin D. Morris, Xavier Descombes, Josiane Zerubia	Fully Bayesian image segmentation-an engineering perspective.	ICIP (3)	1997	DBLP DOI BibTeX RDF	fully Bayesian image segmentation, engineering perspective, Markov chain Monte Carlo procedures, Markov random field prior parameters, class parameters, segmentation labels, MRF parameters, phase transition behaviour, approximate pseudolikelihood method, sampling, statistics, image sampling, partition function, posterior distribution
53	Ari Veijanen	A Simulation-Based Estimator for Hidden Markov Random Fields.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	simulation-based estimator, hidden Markov random fields, pseudolikelihood method, picture processing, picture processing, probability, probability, parameter estimation, parameter estimation, Markov processes, Gibbs sampler
51	Percy Liang, Michael I. Jordan	An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators.	ICML	2008	DBLP DOI BibTeX RDF
51	Aapo Hyvärinen	Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
44	Andrew Blake 0001, Carsten Rother, Matthew A. Brown, Patrick Pérez, Philip H. S. Torr	Interactive Image Segmentation Using an Adaptive GMMRF Model.	ECCV (1)	2004	DBLP DOI BibTeX RDF
44	Dileep Kumar Panjwani, Glenn Healey	Markov Random Field Models for Unsupervised Segmentation of Textured Color Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1995	DBLP DOI BibTeX RDF	computer vision, Segmentation, texture, Markov random fields, color, machine vision, color vision
29	Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha	Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification.	CoRR	2023	DBLP DOI BibTeX RDF
29	Andrew T. Jones, Jessica Bagnall, Hien Duy Nguyen	BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines.	J. Open Source Softw.	2019	DBLP DOI BibTeX RDF
29	Daniele Ancora, Luca Leuzzi	Transmission Matrix Inference via Pseudolikelihood Decimation.	CoRR	2019	DBLP BibTeX RDF
29	Julian Salazar, Davis Liang, Toan Q. Nguyen, Katrin Kirchhoff	Pseudolikelihood Reranking with Masked Language Models.	CoRR	2019	DBLP BibTeX RDF
29	Yuya Takashina, Shuyo Nakatani, Masato Inoue	Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation.	CoRR	2018	DBLP BibTeX RDF
29	Hien Duy Nguyen, Geoffrey J. McLachlan, Pierre Orban, Pierre Bellec, Andrew L. Janke	Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data.	Neural Comput.	2017	DBLP DOI BibTeX RDF
29	Christian S. Schmid, Bruce A. Desmarais	Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap.	IEEE BigData	2017	DBLP DOI BibTeX RDF
29	Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam	Generalized Pseudolikelihood Methods for Inverse Covariance Estimation.	AISTATS	2017	DBLP BibTeX RDF
29	Hien Duy Nguyen, Ian A. Wood	Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines.	IEEE Trans. Neural Networks Learn. Syst.	2016	DBLP DOI BibTeX RDF
29	Amy Chan, Ian A. Wood, Jurgen Fripp	Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain.	DICTA	2016	DBLP DOI BibTeX RDF
29	Liya Fu, You-Gan Wang, Min Zhu 0002	A Gaussian pseudolikelihood approach for quantile regression with repeated measurements.	Comput. Stat. Data Anal.	2015	DBLP DOI BibTeX RDF
29	Onur Dikmen	Learning Mixtures of Ising Models using Pseudolikelihood.	CoRR	2015	DBLP BibTeX RDF
29	Magnus Ekeberg, Tuomo Hartonen, Erik Aurell	Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences.	J. Comput. Phys.	2014	DBLP DOI BibTeX RDF
29	Charles K. Fisher	Variational Pseudolikelihood for Regularized Ising Inference.	CoRR	2014	DBLP BibTeX RDF
29	Benjamin M. Marlin, Nando de Freitas	Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood	CoRR	2012	DBLP BibTeX RDF
29	Huaiyu Wan, Youfang Lin, Zhihao Wu 0001, Houkuan Huang	A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks.	ECML/PKDD (3)	2011	DBLP DOI BibTeX RDF
29	Benjamin M. Marlin, Nando de Freitas	Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood.	UAI	2011	DBLP BibTeX RDF
29	Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús	Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems.	IEEE Geosci. Remote. Sens. Lett.	2008	DBLP DOI BibTeX RDF
29	Aapo Hyvärinen	Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines.	Neural Comput.	2006	DBLP DOI BibTeX RDF
29	Carmen Olga Acuna	An Application of the Bivariate Pseudolikelihood to Texture Synthesis.	ICIP (3)	1994	DBLP DOI BibTeX RDF
22	Junichiro Hirayama, Shin Ishii	A Closed-Form Estimator of Fully Visible Boltzmann Machines.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
22	Miika Rajala, Risto Ritala	A Method to Estimate the Graph Structure for a Large MRF Model.	ICANN (2)	2007	DBLP DOI BibTeX RDF	Graph structure estimation, Markov random fields (MRF), Mutual Information, Graphical models, Multidimensional scaling