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Modeling visual patterns by integrating descriptive and generative methods

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Publication:1810035
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DOI10.1023/A:1023023207396zbMath1477.68361OpenAlexW1581269121MaRDI QIDQ1810035

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo

Publication date: 15 June 2003

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1023023207396


zbMATH Keywords

Markov chain Monte Carloperceptual organizationMarkov random fieldsgenerative modelsGibbs point processesdescriptive modelsminimax entropy learningtexton modelsvisual learning


Mathematics Subject Classification ID

Random fields; image analysis (62M40) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)


Related Items (4)

Energy-Based Models with Applications to Speech and Language Processing ⋮ Mixed Markov models ⋮ Learning a Generative Model of Images by Factoring Appearance and Shape ⋮ A tale of three probabilistic families: Discriminative, descriptive, and generative models







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