Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images

Roberta Paroli; Luigi Spezia

Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images

Roberta Paroli
, Luigi Spezia

Research output: Working paper

Original language	English
Number of pages	31
Publication status	Published - 2008

Keywords

Brian magnetic resonance image
Clustering
Peano-Hilbert scan
label switching
post-processing

Cite this

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title = "Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images",

keywords = "Brian magnetic resonance image, Clustering, Peano-Hilbert scan, label switching, post-processing, Brian magnetic resonance image, Clustering, Peano-Hilbert scan, label switching, post-processing",

author = "Roberta Paroli and Luigi Spezia",

year = "2008",

language = "English",

type = "WorkingPaper",

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TY - UNPB

T1 - Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images

AU - Paroli, Roberta

AU - Spezia, Luigi

PY - 2008

Y1 - 2008

KW - Brian magnetic resonance image

KW - Clustering

KW - Peano-Hilbert scan

KW - label switching

KW - post-processing

KW - Brian magnetic resonance image

KW - Clustering

KW - Peano-Hilbert scan

KW - label switching

KW - post-processing

UR - http://hdl.handle.net/10807/15351

M3 - Working paper

BT - Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images

ER -

Reversible Jump MCMC Methods and Segmentation Algorithms of the Latent Regimes in Hidden Markov Models with Applications to Digital Images

Keywords

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