Bayesian separation of document images with hidden markov model

VISAPP 2007 - 2nd International Conference on Computer Vision Theory and Applications, Proceedings

Volumn SP, Issue , 2007, Pages 151-156

  Su, Feng ^a,b   Mohammad Djafari, Au ^a  

^a UNIV PARIS SUD   (France)

^b NANJING UNIVERSITY   (China)

Author keywords

Bayesian estimation; Blind source separation; Document image; HMM; MCMC

Indexed keywords

BAYESIAN; BAYESIAN APPROACHES; BAYESIAN COMPUTATION; BAYESIAN ESTIMATION; BAYESIAN FRAMEWORKS; CLASS LABELS; CLASSIFICATION ,; CLASSIFICATION LABELS; COLOR CHANNELS; DISTRIBUTION PARAMETERS; DOCUMENT IMAGE; DOCUMENT IMAGES; HMM; LINEAR MIXTURES; MARKOV RANDOM FIELD; MCMC; MCMC SAMPLING; MIXING COEFFICIENT; OBJECT REGION; REAL IMAGES; SMOOTHNESS CONSTRAINTS; SOURCE IMAGES;

APARTMENT HOUSES; BAYESIAN NETWORKS; COMPUTER VISION; DIGITAL IMAGE STORAGE; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; LABELS; LEARNING ALGORITHMS; PIXELS; SEPARATION; SIGNAL ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 67650269928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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