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Volumn 4109 LNCS, Issue , 2006, Pages 173-181

A spectral generative model for graph structure

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; SPECTRUM ANALYSIS; VECTORS;

EID: 33749635812     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11815921_18     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 3
    • 0037410628 scopus 로고    scopus 로고
    • First order gaussian graphs for efficient structure classification
    • A.D. Bagdanov and M. Worring, First Order Gaussian Graphs for Efficient Structure Classification Pattern Recognition, 36, pp. 1311-1324, 2003.
    • (2003) Pattern Recognition , vol.36 , pp. 1311-1324
    • Bagdanov, A.D.1    Worring, M.2
  • 5
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger and D.M. Chickering, Learning Bayesian Networks: The combination of knowledge and statistical data Machine Learning, 20, pp. 197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 8
    • 35248884846 scopus 로고    scopus 로고
    • Graph clustering using the weighted minimum common supergraph
    • LNCS 2726
    • H.Bunke et al., Graph Clustering Using the Weighted Minimum Common Supergraph. In Graph Based Representations in Pattern Recognition, LNCS 2726, pp.235-246, 2003.
    • (2003) Graph Based Representations in Pattern Recognition , pp. 235-246
    • Bunke, H.1
  • 9
    • 3142728485 scopus 로고    scopus 로고
    • Central clustering of attributed graphs
    • B. J. Jain and F. Wysotzki, Central Clustering of Attributed Graphs. Machine Learning, Vol. 56, pp. 169-207, 2004.
    • (2004) Machine Learning , vol.56 , pp. 169-207
    • Jain, B.J.1    Wysotzki, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.