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Volumn 5553 LNCS, Issue PART 3, 2009, Pages 449-456

Nonnegative-least-square classifier for face recognition

Author keywords

Eigenfaces; Face Recognition; Fisherfaces; Nonnegative Least Square

Indexed keywords

CLASSIFICATION METHODS; EIGENFACES; FISHERFACES; LEAST SQUARES; LINEAR COEFFICIENTS; LINEAR COMBINATIONS; NEAREST NEIGHBORHOOD; NONNEGATIVE-LEAST-SQUARE; NUMERICAL STABILITIES; ORL DATABASE; RECOGNITION ACCURACY; SPARSE REPRESENTATION; TRAINING SAMPLE; TRAINING SETS;

EID: 69849103536     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01513-7_49     Document Type: Conference Paper
Times cited : (20)

References (11)
  • 5
    • 0001765951 scopus 로고    scopus 로고
    • A direct lda algorithm for high-dimensional data - With application to face recognition
    • Yu, H., Yang, J.: A direct lda algorithm for high-dimensional data - with application to face recognition. Pattern Recognition 34(10), 2067-2070 (2001)
    • (2001) Pattern Recognition , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 6
    • 0034300875 scopus 로고    scopus 로고
    • A new lda-based face recognition system which can solve the small sample size problem
    • Chen, L.F., Liao, H.Y.M., Ko, M.T., Lin, J.C., Yu, G.J.: A new lda-based face recognition system which can solve the small sample size problem. Pattern Recognition 33(10), 1713-1726 (2000)
    • (2000) Pattern Recognition , vol.33 , Issue.10 , pp. 1713-1726
    • Chen, L.F.1    Liao, H.Y.M.2    Ko, M.T.3    Lin, J.C.4    Yu, G.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.