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Volumn 2686, Issue , 2003, Pages 318-325

Principal components analysis competitive learning

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 34047194571     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article
Times cited : (4)

References (10)
  • 2
    • 0026821121 scopus 로고
    • Competitive Learning and Soft Competition for Vector Quantizer Design
    • Yair, E.K., Zeger, K., Gersho, A.: Competitive Learning and Soft Competition for Vector Quantizer Design. IEEE Trans. Signal Processing 40(2) (1992), 294-308.
    • (1992) IEEE Trans. Signal Processing , vol.40 , Issue.2 , pp. 294-308
    • Yair, E.K.1    Zeger, K.2    Gersho, A.3
  • 3
    • 0025489075 scopus 로고
    • The Self-Organizing Map
    • Kohonen, T.: The Self-Organizing Map. Proc. IEEE 78 (1990), 1464-1480.
    • (1990) Proc. IEEE , vol.78 , pp. 1464-1480
    • Kohonen, T.1
  • 7
    • 0348139702 scopus 로고    scopus 로고
    • Dimension Reduction by Local Principal Component Analysis
    • Kambhatla, N., Leen, T.K.: Dimension Reduction by Local Principal Component Analysis. Neural Computation 9(7) (1997), 1493-1516.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1493-1516
    • Kambhatla, N.1    Leen, T.K.2
  • 8
    • 0029271482 scopus 로고
    • Optimal Transforms for Multispectral and Multilayer Image Coding
    • Tretter, D., Bouman, C.A.: Optimal Transforms for Multispectral and Multilayer Image Coding. IEEE Trans. Image Processing 4(3) (1995), 296-308.
    • (1995) IEEE Trans. Image Processing , vol.4 , Issue.3 , pp. 296-308
    • Tretter, D.1    Bouman, C.A.2
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.