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Volumn , Issue , 2009, Pages 41-46

Mahalanobis distance based non-negative sparse representation for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; EUCLIDEAN DISTANCE; FACE DATABASE; FACE RECOGNITION ALGORITHMS; MACHINE-LEARNING; MAHALANOBIS DISTANCES; NEGATIVE CONSTRAINTS; SPARSE REPRESENTATION;

EID: 77950851167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.50     Document Type: Conference Paper
Times cited : (30)

References (11)
  • 4
    • 0001576029 scopus 로고    scopus 로고
    • Characterizing virtual eigensignatures for general purpose face recognition
    • H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie, and T. S. Huang, editors, NATO ASI Series F, Computer and Systems Sciences
    • D. B. Graham and N. M. Allinson. Characterizing virtual eigensignatures for general purpose face recognition. In H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie, and T. S. Huang, editors, Face Recognition: From Theory to Applications, NATO ASI Series F, Computer and Systems Sciences, pages 446-456, 1998.
    • (1998) Face Recognition: From Theory to Applications , pp. 446-456
    • Graham, D.B.1    Allinson, N.M.2
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Dec.
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 229(5500):2323-2326, Dec. 2000.
    • (2000) Science , vol.229 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.