A new decision rule for sparse representation based classification for face recognition

Neurocomputing

Volumn 116, Issue , 2013, Pages 265-271

  Li, Jiang ^a   Lu, Can Yi ^b,c  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Decision rule; Face recognition; Sparse representation

Indexed keywords

DECISION RULES; DISCRIMINATIVE INFORMATIONS; ENSEMBLE LEARNING; FEATURE CLASSIFIERS; REPRESENTATIONAL CAPABILITIES; SPARSE REPRESENTATION; SPARSE REPRESENTATION BASED CLASSIFICATIONS; UNIFIED FORMULATIONS;

ADAPTIVE BOOSTING;

FACE RECOGNITION;

ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; COMPARATIVE STUDY; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; DATA BASE; FACE RECOGNITION; FACIAL EXPRESSION; FEMALE; HUMAN; IMAGE PROCESSING; MALE; NEAREST FEATURE CLASSIFIER; PATTERN RECOGNITION; PRIORITY JOURNAL; SPARSE CODING COEFFICIENT; SPARSE REPRESENTATION BASED CLASSIFICATION; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; SUM OF COEFFICIENT DECISION RULE; VALIDATION PROCESS;

EID: 84878483723     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.04.034     Document Type: Article

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