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Volumn 4132 LNCS - II, Issue , 2006, Pages 578-586

Growing neural gas for vision tasks with time restrictions

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; REAL TIME SYSTEMS; SELF ORGANIZING MAPS; TOPOLOGY;

EID: 33749851047     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_60     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 3
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • G. Tesauro, D.S. Touretzky y T.K. Leen (eds.), MIT Press
    • Fritzke, B.: A Growing Neural Gas Network Learns Topologies. In Advances in Neural Information Processing Systems 7, G. Tesauro, D.S. Touretzky y T.K. Leen (eds.), MIT Press (1995) 625-632
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 4
    • 0003410791 scopus 로고
    • Springer-Verlag, Berlin Heidelberg
    • Kohonen, T.: Self-Organizing Maps. Springer-Verlag, Berlin Heidelberg (1995)
    • (1995) Self-organizing Maps
    • Kohonen, T.1
  • 5
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinetz, T., Schulten, K.: Topology Representing Networks. Neural Networks, 7(3) (1994) 507-522
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinetz, T.1    Schulten, K.2
  • 7
    • 0026898892 scopus 로고
    • Quantifying the neighborhood preservation of self-organizing feature maps
    • Bauer, H.-U., Pawelzik, K.R.: Quantifying the Neighborhood Preservation of Self-Organizing Feature Maps. IEEE Transactions on Neural Networks, 3(4) (1992) 570-578
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.4 , pp. 570-578
    • Bauer, H.-U.1    Pawelzik, K.R.2
  • 8
    • 22944436136 scopus 로고    scopus 로고
    • Geodesic topographic product: An improvement to measure topology preservation of self-organizing neural networks
    • Springer, Berlin
    • Flórez, F., García, J.M., García, J., Hernández: Geodesic Topographic Product: An Improvement to Measure Topology Preservation of Self-Organizing Neural Networks. Lecture Notes in Computer Sciences, 3315. Springer, Berlin (2004) 841-850
    • (2004) Lecture Notes in Computer Sciences , vol.3315 , pp. 841-850
    • Flórez, F.1    García, J.M.2    García, J.3    Hernández4
  • 9
    • 0031097231 scopus 로고    scopus 로고
    • Topology preservation in self-organizing feature maps: Exact definition and measurement
    • Villmann, T., Der, R., Herrmann, M., Martinetz, T.M.: Topology Preservation in Self-Organizing Feature Maps: Exact Definition and Measurement. IEEE Transactions on Neural Networks, 8(2) (1997) 256-266
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.2 , pp. 256-266
    • Villmann, T.1    Der, R.2    Herrmann, M.3    Martinetz, T.M.4
  • 10
    • 84902156599 scopus 로고    scopus 로고
    • Comparing self-organizing maps
    • Springer, Berlin
    • Kaski, S., Lagus, K.: Comparing Self-Organizing Maps. Lecture Notes in Computer Sciences, 1112. Springer, Berlin (1996) 809-814
    • (1996) Lecture Notes in Computer Sciences , vol.1112 , pp. 809-814
    • Kaski, S.1    Lagus, K.2
  • 11
    • 0000742931 scopus 로고
    • A "neural-gas" network learns topologies
    • T. Kohonen, K. Mäkisara, O. Simula y J. Kangas (eds.)
    • Martinetz, T, Schulten, K.: A "Neural-Gas" Network Learns Topologies. In Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula y J. Kangas (eds.) (1991) 1:397-402
    • (1991) Artificial Neural Networks , vol.1 , pp. 397-402
    • Martinetz, T.1    Schulten, K.2
  • 12
    • 0036789790 scopus 로고    scopus 로고
    • A self-organising network that grows when required
    • Marsland, S., Shapiro, J.; Nehmzow, U.: A self-organising network that grows when required. Neural Networks, 15 (2002) 1041-1058
    • (2002) Neural Networks , vol.15 , pp. 1041-1058
    • Marsland, S.1    Shapiro, J.2    Nehmzow, U.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.