Mahalanobis distance on extended grassmann manifolds for variational pattern analysis

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 11, 2014, Pages 1980-1990

  Washizawa, Yoshikazu ^a,b   Hotta, Seiji ^c  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

Grassmann manifolds; Mahalanobis distance; subspace method; tangent distance (TD).

Indexed keywords

GRASSMANN MANIFOLD; MAHALANOBIS DISTANCES; PATTERN ANALYSIS; SUB-SPACE METHODS; TANGENT DISTANCE;

EID: 84908092932     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2301178     Document Type: Article

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