Unsupervised riemannian clustering of probability density functions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5211 LNAI, Issue PART 1, 2008, Pages 377-392

  Goh, Alvina ^a   Vidal, René ^a  

^a Johns Hopkins University   (United States)

Author keywords

Manifold clustering; Manifold learning; Probability density functions

Indexed keywords

COMPUTER VISION; DATABASE SYSTEMS; EDUCATION; FLOW OF SOLIDS; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY; PROBLEM SOLVING; RANDOM PROCESSES; ROBOT LEARNING; SPHERES;

DIMENSIONAL REPRESENTATIONS; EUCLIDEAN; HILBERT; MANIFOLD CLUSTERING; MANIFOLD LEARNING; NONLINEAR DIMENSIONALITY REDUCTIONS; NULL SPACES; PARAMETRIZATION; PROBABILITY DENSITIES; PROBABILITY DENSITY FUNCTIONS; RIEMANNIAN MANIFOLDS; RIEMANNIAN SPACES; SUBMANIFOLDS; TEXTURE SEGMENTATIONS;

PROBABILITY DENSITY FUNCTION;

EID: 56049090344     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87479-9_43     Document Type: Conference Paper

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