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Volumn 1112 LNCS, Issue , 1996, Pages 305-310

A hybrid object recognition architecture

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK ARCHITECTURE; NEURAL NETWORKS; SEMANTICS;

EID: 84902136756     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_54     Document Type: Conference Paper
Times cited : (10)

References (6)
  • 1
    • 0037771659 scopus 로고    scopus 로고
    • A neural 3-D object recognition architecture using optimized gabor filters
    • Vienna. IEEE Computer Society Press, To appear
    • G. Heidemann and H. Ritter. A Neural 3-D Object Recognition Architecture Using Optimized Gabor Filters. In Proceedings of 13th International Conference on Pattern Recognition, Vienna. IEEE Computer Society Press, 1996. To appear.
    • (1996) Proceedings of 13th International Conference on Pattern Recognition
    • Heidemann, G.1    Ritter, H.2
  • 2
    • 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
    • 84902196211 scopus 로고
    • Hybride wissensrepräentation: Neuronale und semantische netzwerke für die bildanalyse
    • Universitat Bielefeld, SFB 360
    • H. Ritter, G. Sagerer, G. Heidemann, and R. Moratz. Hybride Wissensrepräentation: Neuronale und semantische Netzwerke für die Bildanalyse. In Arbeits- und Ergebnisbericht, pages 27-65. Universitat Bielefeld, SFB 360, 1995.
    • (1995) Arbeits- Und Ergebnisbericht , pp. 27-65
    • Ritter, H.1    Sagerer, G.2    Heidemann, G.3    Moratz, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.