Learning explicit and implicit visual manifolds by information projection

Pattern Recognition Letters

Volumn 31, Issue 8, 2010, Pages 667-685

  Zhu, Song Chun ^a,b   Shi, Kent ^a   Si, Zhangzhang ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Lotus Hill Research Institute   (China)

Author keywords

Image Manifold; Information projection; Primal sketch; Texton; Texture; Visual learning

Indexed keywords

COMMON MODELS; COMPLEX IMAGE; COMPOSITIONAL STRUCTURE; EARLY VISION; GENERIC REPRESENTATION; HIGH DIMENSIONS; HUMAN VISION; HYBRID IMAGE; IMAGE MANIFOLD; IMAGE PATCHES; IMAGE SCALE; IMAGE SCALING; IMAGE SPACE; INFORMATION GAIN; LEARNING FRAMEWORKS; MATHEMATICAL STRUCTURE; NATURAL IMAGES; OBJECT CATEGORY RECOGNITION; PERCEPTUAL METRICS; PERCEPTUAL TRANSITIONS; PRIMAL SKETCH; STOCHASTIC TEXTURE; VISUAL LEARNING; VISUAL PATTERN; VISUAL PERCEPTION; WIDE SPECTRUM;

LEARNING ALGORITHMS; OBJECT RECOGNITION; TEXTURES;

ATOMS;

EID: 77950296300     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2009.07.020     Document Type: Article

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