메뉴 건너뛰기




Volumn , Issue , 2010, Pages 527-530

Face recognition using a multi-manifold discriminant analysis method

Author keywords

Face recongition; LDA; Multi Manifold learning

Indexed keywords

CLASS SEPARABILITY; EMBEDDED LEARNING; FACE DATABASE; FACE FEATURE EXTRACTION; FACE RECONGITION; LDA; MANIFOLD LEARNING; MATRIX; RECOGNITION PERFORMANCE;

EID: 78149479285     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.134     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 2
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendations for practitioners
    • S.J. Raudys, A.K. Jain. "Small sample size effects in statistical pattern recognition: recommendations for practitioners," IEEE Trans. Pattern Ana1ysis and Machine Intel1igence, vol.13, no.3, pp.252-264, 1991.
    • (1991) IEEE Trans. Pattern Ana1ysis and Machine Intel1igence , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 4
    • 0036487285 scopus 로고    scopus 로고
    • Why can LDA be performed in PCA transformed space?
    • J. Yang, J. Yang, "Why can LDA be performed in PCA transformed space?" Pattern Recognition. vol.36, no.2, pp. 563-566,2003.
    • (2003) Pattern Recognition , vol.36 , Issue.2 , pp. 563-566
    • Yang, J.1    Yang, J.2
  • 5
    • 0025792756 scopus 로고
    • Optimal discriminant plane for a small number of samples and design method of classifier on the plane
    • Z. Hong, J. Yang, "Optimal discriminant plane for a small number of samples and design method of classifier on the plane," Pattern Recognition, vol.24, no.4, pp.317-324, 1991.
    • (1991) Pattern Recognition , vol.24 , Issue.4 , pp. 317-324
    • Hong, Z.1    Yang, J.2
  • 9
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V.de. Silva, and J.C. Langford. "A global geometric framework for nonlinear dimensionality reduction," Science, vol.290, pp.2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimension reduction by locally linear embedding
    • S.T. Roweis and L.K. Saul. "Nonlinear dimension reduction by locally linear embedding," Science, vol.290, pp.2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 11
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi. "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation. Vol.15, no.6, pp.1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 13
    • 33947492041 scopus 로고    scopus 로고
    • Globally maximizing, locally minimizing: Unsupervised discriminant projection with applications to face and palm biometrics
    • J. Yang, D. Zhang, J. Yang, B. Niu. "Globally maximizing, locally minimizing: unsupervised discriminant projection with applications to face and palm biometrics," IEEE Trans. Pattern Ana1ysis and Machine Intel1igence, vol.29, no.4, pp.650-664, 2007.
    • (2007) IEEE Trans. Pattern Ana1ysis and Machine Intel1igence , vol.29 , Issue.4 , pp. 650-664
    • Yang, J.1    Zhang, D.2    Yang, J.3    Niu, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.