Reformative nonlinear feature extraction using kernel MSE

Neurocomputing

Volumn 73, Issue 16-18, 2010, Pages 3334-3337

  Zhu, Qi ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Feature extraction; Kernel MSE; Nonlinear discriminant analysis; Pattern classification; Reformative kernel MSE

Indexed keywords

BENCHMARK DATASETS; IMPROVED METHODS; KERNEL MSE; KERNEL SPACE; LINEAR COMBINATIONS; MINIMUM SQUARED ERROR; NONLINEAR DISCRIMINANT ANALYSIS; NONLINEAR FEATURE EXTRACTION; NONLINEAR FEATURE EXTRACTION METHOD; PATTERN CLASSIFICATION; REFORMATIVE KERNEL MSE; TRAINING SAMPLE;

COMPUTATIONAL EFFICIENCY; DISCRIMINANT ANALYSIS; EXTRACTION; VECTOR SPACES;

FEATURE EXTRACTION;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; EXPERIMENTAL DESIGN; KERNEL METHOD; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PATTERN RECOGNITION; PRIORITY JOURNAL; QUALITY CONTROL; SUPPORT VECTOR MACHINE; TASK PERFORMANCE;

EID: 78649938823     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.04.007     Document Type: Article

References (9)

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