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Volumn 15, Issue 1, 2000, Pages 9-12

A system for various visual classification tasks based on neural networks

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK ARCHITECTURE;

EID: 0005921608     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (12)

References (11)
  • 1
    • 36149034635 scopus 로고
    • The principal components of natural images
    • P. Hancock, R. Baddeley, and L. Smith. The principal components of natural images. Network, 3:61-70, 1992.
    • (1992) Network , vol.3 , pp. 61-70
    • Hancock, P.1    Baddeley, R.2    Smith, L.3
  • 3
    • 0035251325 scopus 로고    scopus 로고
    • Efficient vector quantization using the wta-rule with activity equalization
    • To appear
    • G. Heidemann and H. Ritter. Efficient vector quantization using the wta-rule with activity equalization. Neural Processing Letters, 2000. To appear.
    • (2000) Neural Processing Letters
    • Heidemann, G.1    Ritter, H.2
  • 4
    • 0001023739 scopus 로고
    • Self-organization and associative memory
    • Springer-Verlag Heidelberg
    • T. Kohonen. Self-organization and associative memory. In Springer Series in Information Sciences 8. Springer-Verlag Heidelberg, 1984.
    • (1984) Springer Series in Information Sciences , vol.8
    • Kohonen, T.1
  • 5
    • 0003840341 scopus 로고    scopus 로고
    • Columbia object image library: Coil-100
    • Department of Computer Science, Columbia University
    • S. Nene, S. Nayar, and H. Murase. Columbia object image library: Coil-100. Technical Report CUCS-006-96, Department of Computer Science, Columbia University, 1996.
    • (1996) Technical Report CUCS-006-96
    • Nene, S.1    Nayar, S.2    Murase, H.3
  • 6
    • 0025037991 scopus 로고
    • A network that learns to recognize three dimensional objects
    • T. Poggio and S. Edelman. A network that learns to recognize three dimensional objects. Nature, pages 263-266, 1990.
    • (1990) Nature , pp. 263-266
    • Poggio, T.1    Edelman, S.2
  • 7
    • 0029275131 scopus 로고
    • Context-free attentional operators: The generalized symmetry transform
    • D. Reisfeld, H. Wolfson, and Y. Yeshurun. Context-free attentional operators: The generalized symmetry transform. Int. Journal of Computer Vision, 14:119-130, 1995.
    • (1995) Int. Journal of Computer Vision , vol.14 , pp. 119-130
    • Reisfeld, D.1    Wolfson, H.2    Yeshurun, Y.3
  • 8
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • T. Sanger. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks, 2:459-473, 1989.
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.1
  • 10
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • February 15
    • M. E. Tipping and C. M. Bishop. Mixtures of probabilistic principal component analyzers. Neural Computation, 11(2):443-482, February 15 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.