Locally adaptive learning for translation-variant MRF image priors

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Tanaka, Masayuki ^a   Okutomi, Masatoshi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER VISION; EDUCATION; FACILITIES; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; PATTERN RECOGNITION; STRUCTURAL FRAMES; TRANSLATION (LANGUAGES); TRELLIS CODES;

ADAPTIVE FRAMEWORK; ADAPTIVE LEARNING; ADAPTIVE TRAINING; BILATERAL FILTERING; CHALLENGING PROBLEM; DE-NOISING; DE-NOISING ALGORITHMS; EFFECTIVE LEARNING; GAUSSIAN; LEARNING FRAMEWORKS; LEARNING PROCEDURES; MACHINE VISION; MARKOV RANDOM FIELD MODELS; MODEL PARAMETERS; MRF MODELS; MULTIVARIATE GAUSSIAN; NATURAL IMAGES; POW ERFUL TOOL; PRIOR DISTRIBUTIONS; PRIOR INFORMATION; PRIOR MODELS;

LEARNING ALGORITHMS;

EID: 51949117434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587349     Document Type: Conference Paper

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