Uncorrelated multilinear principal component analysis through successive variance maximization

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 616-623

  Lu, Haiping ^a   Plataniotis, Konstantinos N ^a   Venetsanopoulos, Anastasios N ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b RYERSON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; MACHINE LEARNING; LEARNING SYSTEMS; ROBOT LEARNING;

CLASSICAL PRINCIPAL COMPONENT ANALYSIS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ALGORITHMS; LOW-DIMENSIONAL SPACES; SECOND ORDERS; UNCORRELATED FEATURES; VARIANCE MAXIMIZATION; VECTOR PROJECTION;

PRINCIPAL COMPONENT ANALYSIS;

CLASSICAL PRINCIPAL COMPONENT ANALYSIS; DIMENSIONALITY REDUCTION ALGORITHMS; DIMENSIONALITY REDUCTIONS; LOW-DIMENSIONAL SPACES; MACHINE-LEARNING; PRINCIPAL COMPONENTS; SECOND ORDERS; VARIANCE MAXIMIZATIONS; VECTOR PROJECTIONS;

EID: 56449119030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390234     Document Type: Conference Paper

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