Twin kernel embedding

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 8, 2008, Pages 1490-1495

  Guo, Yi ^a   Gao, Junbin ^b   Kwan, Paul W ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

^b CHARLES STURT UNIVERSITY   (Australia)

Author keywords

Dimensionality reduction; Kernel learning; Twin Kernel Embedding

Indexed keywords

CANNING; FUNCTION EVALUATION; GRADIENT METHODS;

APPLIED (CO); CONVENTIONAL METHODS; DATA-SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ALGORITHMS; EXPERIMENTAL EVALUATIONS; GRADIENT DESCENT ALGORITHMS; GRAM MATRICES; HYPERPARAMETERS; INPUT DATA; INPUT SPACES; LOCAL MINIMUMS; LOW DIMENSIONAL EMBEDDING; OBJECTIVE FUNCTION (OF); SIMILARITY MEASURES (SM); VECTORIAL DATA;

KINETIC ENERGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; DECISION SUPPORT SYSTEM; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT TECHNIQUES; PATTERN RECOGNITION, AUTOMATED;

EID: 46149126202     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.74     Document Type: Article

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