A fast method for sampling from Laplacian-type distributions

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3459, Issue , 1998, Pages 307-314

  Kokaram, Anil C ^a   Wu, Miao Dan ^b  

^a TRINITY COLLEGE DUBLIN   (Ireland)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bayesian estimation; Gibbs energy; Gibbs sampler; Image processing; Laplacian; Markov chain Monte Carlo; Markov random field; Metropolis; Sampling; Video processing

Indexed keywords

CLUSTER ANALYSIS; CONVERGENCE OF NUMERICAL METHODS; DIFFERENTIAL EQUATIONS; DIGITAL IMAGE STORAGE; GIBBS FREE ENERGY; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; INFERENCE ENGINES; INVERSE PROBLEMS; LAPLACE TRANSFORMS; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; PRECISION ENGINEERING; RANDOM PROCESSES; RANDOM VARIABLES; SAMPLING; UNCERTAIN SYSTEMS; VIDEO SIGNAL PROCESSING;

BAYESIAN ESTIMATION; GIBBS ENERGY; GIBBS SAMPLER; LAPLACIAN; MARKOV CHAIN MONTE CARLO; MARKOV RANDOM FIELD; METROPOLIS; VIDEO PROCESSING;

BAYESIAN NETWORKS;

EID: 57649115606     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.323810     Document Type: Conference Paper

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