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Volumn 16, Issue 3, 2002, Pages 615-618

Extended isomap for classification

Author keywords

[No Author keywords available]

Indexed keywords

FISHER LINEAR DISCRIMINANT; GEODESIC DISTANCE; ISOMAP METHOD; CLASSIFICATION METHODS; DIMENSIONALITY REDUCTION; FISHER LINEAR DISCRIMINANTS; GEODESIC DISTANCES; HIGH-DIMENSIONAL; IMAGE DATASETS; LOW DIMENSIONAL EMBEDDING; MULTI-DIMENSIONAL SCALING;

EID: 33744950890     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (10)
  • 6
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500), 2000.
    • (2000) Science , vol.290 , Issue.5500
    • Roweis, S.T.1    Saul, L.K.2
  • 7
    • 0028516261 scopus 로고
    • HMM based architecture for face identification
    • F. Samaria and S. Young. HMM based architecture for face identification. Image and Vision Computing, 12(8):537-583, 1994.
    • (1994) Image and Vision Computing , vol.12 , Issue.8 , pp. 537-583
    • Samaria, F.1    Young, S.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, 290(5500), 2000.
    • (2000) Science , vol.290 , Issue.5500
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.