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Volumn 1112 LNCS, Issue , 1996, Pages 227-232

Subspace dimension selection and averaged learning subspace method handwritten digit classification

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 84902154035     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_41     Document Type: Conference Paper
Times cited : (31)

References (7)
  • 4
    • 0024125570 scopus 로고
    • The subspace learning algorithm as a formalism for pattern recognition and neural networks
    • SanDiego, California (July 1988). IEEE
    • Oja, E., Kohonen, T. The Subspace Learning Algorithm as a formalism for pattern recognition and neural networks. In Proceedings of the International Conference on Neural Networks, SanDiego, California (July 1988). IEEE, 1988 I-277-284.
    • (1988) Proceedings of the International Conference on Neural Networks
    • Oja, E.1    Kohonen, T.2
  • 5
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • Oja, E. Neural networks, principal components, and subspaces. International Journal of Neural Systems (1989) 1:61-68.
    • (1989) International Journal of Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.