Learning kernel parameters for kernel Fisher discriminant analysis

Pattern Recognition Letters

Volumn 34, Issue 9, 2013, Pages 1026-1031

  Liu, Jing ^a   Zhao, Feng ^b   Liu, Yi ^c  

^a XI AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b SHANDONG INSTITUTE OF BUSINESS AND TECHNOLOGY   (China)

^c XIDIAN UNIVERSITY   (China)

Author keywords

Feature extraction; Kernel Fisher discriminant analysis (KFDA); Kernel parameter optimization; Spectral regression kernel discriminant analysis (SRKDA)

Indexed keywords

CLASS SEPARABILITY; K-NEAREST NEIGHBOR CLASSIFIERS (KNN); KERNEL DISCRIMINANT ANALYSIS; KERNEL FISHER DISCRIMINANT ANALYSIS; KERNEL PARAMETER OPTIMIZATION; MINIMUM DISTANCE CLASSIFIERS; NAIVE BAYES CLASSIFIERS; SPECTRAL REGRESSIONS;

FEATURE EXTRACTION; OPTIMIZATION;

FACE RECOGNITION;

EID: 84876157849     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.03.005     Document Type: Article

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