Supervised sparse representation method with a heuristic strategy and face recognition experiments

Neurocomputing

Volumn 79, Issue , 2012, Pages 125-131

  Xu, Yong ^a,b   Zuo, Wangmeng ^a   Fan, Zizhu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Key Laboratory of Network Oriented Intelligent Computation   (China)

Author keywords

Classification; Face recognition; Image representation; Pattern recognition

Indexed keywords

CLASSIFICATION ACCURACY; FACE RECOGNITION EXPERIMENT; HEURISTIC STRATEGY; IMAGE REPRESENTATIONS; LINEAR COMBINATIONS; MINIMUM ABSOLUTE VALUE; SPARSE REPRESENTATION; TERMINATION CONDITION; TEST SAMPLES; TRAINING SAMPLE;

CLASSIFICATION (OF INFORMATION); EXPERIMENTS; HEURISTIC METHODS; PATTERN RECOGNITION; SAMPLING;

FACE RECOGNITION;

ACCURACY; ANALYTIC METHOD; ARTICLE; CLASSIFICATION ALGORITHM; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; IMAGE ANALYSIS; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; PATTERN RECOGNITION; PRIORITY JOURNAL; SUPERVISED SPARSE REPRESENTATION METHOD; SYSTEM ANALYSIS; TASK PERFORMANCE; TRAINING;

EID: 83955162229     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.10.013     Document Type: Article

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