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Volumn , Issue , 2004, Pages 528-535

Probabilistic Tangent Subspace: A unified view

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BOUNDARY CONDITIONS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; SOFTWARE PROTOTYPING; VECTORS;

EID: 14344265533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 3
    • 0036161034 scopus 로고    scopus 로고
    • Training invariant support vector machines
    • DeCoste, D., & Schölkopf, B. (2002). Training invariant support vector machines. Machine Learning, 46, 161-190.
    • (2002) Machine Learning , vol.46 , pp. 161-190
    • Decoste, D.1    Schölkopf, B.2
  • 6
    • 0348139702 scopus 로고    scopus 로고
    • Dimension reduction by local principal component analysis
    • Kambhatla, N., & Leen, T. (1997). Dimension reduction by local principal component analysis. Neural Computation, 1493-1516.
    • (1997) Neural Computation , pp. 1493-1516
    • Kambhatla, N.1    Leen, T.2
  • 10
    • 0036603474 scopus 로고    scopus 로고
    • Principal manifolds and probabilistic subspace for visual recognition
    • Moghaddam, B. (2002). Principal manifolds and probabilistic subspace for visual recognition. IEEE Trans. PAMI, 24, 780-788.
    • (2002) IEEE Trans. PAMI , vol.24 , pp. 780-788
    • Moghaddam, B.1
  • 11
    • 0031188771 scopus 로고    scopus 로고
    • Probabilistic visual learning for object representation
    • Moghaddam, B., & Pentland, A. (1997). Probabilistic visual learning for object representation. IEEE Trans. PAMI, 19, 696-710.
    • (1997) IEEE Trans. PAMI , vol.19 , pp. 696-710
    • Moghaddam, B.1    Pentland, A.2
  • 12
    • 0034290919 scopus 로고    scopus 로고
    • The FERET evaluation methodology for face recognition algorithms
    • Phillips, P., Moon, H., & et al. (2000). The FERET evaluation methodology for face recognition algorithms. IEEE Trans. PAMI, 22, 1090-1104.
    • (2000) IEEE Trans. PAMI , vol.22 , pp. 1090-1104
    • Phillips, P.1    Moon, H.2
  • 13
    • 84902142380 scopus 로고    scopus 로고
    • Incorporating invariances in support vector learning machines
    • Springer
    • Schölkopf, B., Burges, C., & Vapnik, V. (1996). Incorporating invariances in support vector learning machines. ICANN96 (LNCS, Vol. 1112). Springer.
    • (1996) ICANN96 LNCS , vol.1112
    • Schölkopf, B.1    Burges, C.2    Vapnik, V.3
  • 15
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., & Müller, K. R. (1998b). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10, 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.