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Volumn 26, Issue 12, 2005, Pages 1874-1884

A supervised training algorithm for self-organizing maps for structures

Author keywords

Self organizing maps; Structured data; Supervised training algorithm

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DATA STRUCTURES; INFORMATION ANALYSIS; LEARNING SYSTEMS;

EID: 22944461475     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.03.009     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 1
    • 84902207998 scopus 로고    scopus 로고
    • Comparison of supervised self-organizing maps using euclidian or mahalanobis distance in classification context
    • p. 637 ff, Granada
    • Fessant, F., Aknin, P., Oukhellou, L., Midenet, S. 2001. Comparison of supervised self-organizing maps using euclidian or mahalanobis distance in classification context. In: 6th Int. Work Conf. Artificial Natural Neural Networks, p. 637 ff, Granada.
    • (2001) 6th Int. Work Conf. Artificial Natural Neural Networks
    • Fessant, F.1    Aknin, P.2    Oukhellou, L.3    Midenet, S.4
  • 3
    • 0009252948 scopus 로고    scopus 로고
    • A sensitivity analysis of the self organizing map as an adaptive one-pass non-stationary clustering algorithm: The case of color quantization of image sequences
    • A.I. Gonzalez, M. Graña, A. D'Anjou, F.X. Albizuri, and M. Cottrell A sensitivity analysis of the self organizing map as an adaptive one-pass non-stationary clustering algorithm: the case of color quantization of image sequences Neural Proces. Lett. 6 1997
    • (1997) Neural Proces. Lett. , vol.6
    • Gonzalez, A.I.1    Graña, M.2    D'Anjou, A.3    Albizuri, F.X.4    Cottrell, M.5
  • 5
    • 0037844902 scopus 로고    scopus 로고
    • A self-organizing map for adaptive processing of structured data
    • M. Hagenbuchner, A. Sperduti, and A.C. Tsoi A self-organizing map for adaptive processing of structured data IEEE Trans. Neural Networks 14 3 2003 491 505 May
    • (2003) IEEE Trans. Neural Networks , vol.14 , Issue.3 , pp. 491-505
    • Hagenbuchner, M.1    Sperduti, A.2    Tsoi, A.C.3
  • 6
    • 0038452110 scopus 로고    scopus 로고
    • A supervised self-organizing map for structured data
    • Allinson, N., Yin, H., Allinson, L., Slack, J. (Eds.)
    • Hagenbuchner, M., Tsoi, A.C., Sperduti, A. 2001. A supervised self-organizing map for structured data. In: Allinson, N., Yin, H., Allinson, L., Slack, J. (Eds.), Advances in Self-Organising Maps, pp. 21-28.
    • (2001) Advances in Self-organising Maps , pp. 21-28
    • Hagenbuchner, M.1    Tsoi, A.C.2    Sperduti, A.3
  • 8
    • 0003505613 scopus 로고
    • Learning vector quantization for pattern recognition
    • Helsinki University of Technology
    • Kohonen, T. 1986. Learning vector quantization for pattern recognition. Technical Report TKK-F-A601, Helsinki University of Technology.
    • (1986) Technical Report , vol.TKK-F-A601
    • Kohonen, T.1
  • 9
    • 0023983407 scopus 로고
    • The neural phonetic typewriter
    • Kohonen, T. 1988. The neural phonetic typewriter. In: IEEE-CS Computer, vol. 21 of 3, pp. 11-22.
    • (1988) IEEE-CS Computer , vol.21 , Issue.3 , pp. 11-22
    • Kohonen, T.1
  • 12
    • 0033720875 scopus 로고    scopus 로고
    • Context quantization and contextual self-organizing maps
    • Voegtlin, T. 2000. Context quantization and contextual self-organizing maps. In: Proc. Int. Joint Conf. Neural Networks, vol. VI, pp. 20-25.
    • (2000) Proc. Int. Joint Conf. Neural Networks , vol.6 , pp. 20-25
    • Voegtlin, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.