Modeling visual patterns by integrating descriptive and generative methods

International Journal of Computer Vision

Volumn 53, Issue 1, 2003, Pages 5-29

  Guo, Cheng En ^a   Zhu, Song Chun ^a   Wu, Ying Nian ^b  

^a Department of Civil and Environmental Engineering   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Descriptive models; Generative models; Gibbs point processes; Markov chain Monte Carlo; Markov random fields; Minimax entropy learning; Perceptual organization; Texton models; Visual learning

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; IMAGE ANALYSIS; LEARNING SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PRINCIPAL COMPONENT ANALYSIS; WAVELET TRANSFORMS;

DESCRIPTIVE MODELS; GENERATIVE MODELS; GIBBS POINT PROCESSES; MINIMAX ENTROPY LEARNING; TEXTON MAPS;

PATTERN RECOGNITION;

EID: 0038243248     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1023023207396     Document Type: Article

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