Clustering and dimensionality reduction on Riemannian manifolds

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

Volumn , Issue , 2008, Pages

  Goh, Alvina ^a   Vidal, René ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; COMPUTER VISION; FEATURE EXTRACTION; FLOW OF SOLIDS; IMAGE PROCESSING; LEARNING ALGORITHMS; PATTERN RECOGNITION; TENSORS;

AUTOMATIC SEGMENTATIONS; CLUSTERING DATA; DATA POINTS; DIFFUSION TENSOR IMAGING; DIMENSIONALITY REDUCTION; EUCLIDEAN; GEOMETRIC PROPERTIES; MOTION SEGMENTATION; NON-LINEAR DIMENSIONALITY REDUCTION; NOVEL ALGORITHMS; NULL SPACES; RIEMANNIAN MANIFOLDS; RIEMANNIAN METRIC; RIEMANNIAN SPACES; SUBMANIFOLDS;

CLUSTER ANALYSIS;

EID: 51949089680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587422     Document Type: Conference Paper

References (20)

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