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Volumn 113, Issue 7, 2009, Pages 777-789

A generative model for graph matching and embedding

Author keywords

Generative model; Graph embedding; Heat kernel analysis; Shape analysis

Indexed keywords

AB-INITIO; CALTECH; COIL DATABASE; DISTRIBUTION MODELS; EDGE STRUCTURES; EIGENSPACE; EIGENVALUES AND EIGENVECTORS; GENERATIVE MODEL; GRAPH EMBEDDING; GRAPH MATCHING; GRAPH STRUCTURES; HEAT-KERNEL ANALYSIS; INNER PRODUCTS; LAPLACIAN EIGENSYSTEM; LAPLACIAN MATRICES; SHAPE ANALYSIS; STRUCTURAL DIFFERENCES; VECTOR SPACES;

EID: 67349159359     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2009.01.004     Document Type: Article
Times cited : (38)

References (52)
  • 4
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S., and Saul L. Nonlinear dimensionality reduction by locally linear embedding. Science 290 5500 (2000) 2323-2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 7
    • 0037410628 scopus 로고    scopus 로고
    • First order gaussian graphs for efficient structure classification
    • Bagdanov A.D., and Worring M. First order gaussian graphs for efficient structure classification. Pattern Recognition 36 (2003) 1311-1324
    • (2003) Pattern Recognition , vol.36 , pp. 1311-1324
    • Bagdanov, A.D.1    Worring, M.2
  • 9
    • 34249761849 scopus 로고
    • Learning Bayesian Networks: The combination of knowledge and statistical data
    • Heckerman D., Geiger D., and Chickering D.M. Learning Bayesian Networks: The combination of knowledge and statistical data. Machine Learning 20 (1995) 197-243
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 10
    • 1342345777 scopus 로고    scopus 로고
    • Analysis of planar shapes using geodesic paths on shape spaces
    • Klassen E., Srivastava A., Mio W., and Joshi S.H. Analysis of planar shapes using geodesic paths on shape spaces. IEEE TPAMI 26 (2004) 372-383
    • (2004) IEEE TPAMI , vol.26 , pp. 372-383
    • Klassen, E.1    Srivastava, A.2    Mio, W.3    Joshi, S.H.4
  • 11
    • 0032878120 scopus 로고    scopus 로고
    • Multidimensional scaling of simplex shapes
    • Le H., and Small C.G. Multidimensional scaling of simplex shapes. Pattern Recognition 32 (1999) 1601-1613
    • (1999) Pattern Recognition , vol.32 , pp. 1601-1613
    • Le, H.1    Small, C.G.2
  • 12
    • 33644968940 scopus 로고    scopus 로고
    • ACM attributed graph clustering for learning classes of images
    • Graph Based Representations in Pattern Recognition
    • M.A. Lozano, F. Escolano, ACM attributed graph clustering for learning classes of images, in: Graph Based Representations in Pattern Recognition, LNCS 2726, 2003, pp. 247-258.
    • (2003) LNCS , vol.2726 , pp. 247-258
    • Lozano, M.A.1    Escolano, F.2
  • 13
    • 35248884846 scopus 로고    scopus 로고
    • Graph clustering using the weighted minimum common supergraph
    • Graph Based Representations in Pattern Recognition
    • H. Bunke et al., Graph clustering using the weighted minimum common supergraph, in: Graph Based Representations in Pattern Recognition, LNCS 2726, 2003, pp. 235-246.
    • (2003) LNCS , vol.2726 , pp. 235-246
    • Bunke, H.1
  • 14
    • 3142728485 scopus 로고    scopus 로고
    • Central clustering of attributed graphs
    • Jain B.J., and Wysotzki F. Central clustering of attributed graphs. Machine Learning 56 (2004) 169-207
    • (2004) Machine Learning , vol.56 , pp. 169-207
    • Jain, B.J.1    Wysotzki, F.2
  • 16
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian Eigenmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian Eigenmaps for dimensionality reduction and data representation. Neural Computation 15 (2003) 1373-1396
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 17
    • 0024069925 scopus 로고
    • An eigen decomposition approach to weighted graph matching problems
    • Umeyama S. An eigen decomposition approach to weighted graph matching problems. IEEE TPAMI 10 (1988) 695-703
    • (1988) IEEE TPAMI , vol.10 , pp. 695-703
    • Umeyama, S.1
  • 18
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for non-linear dimensionality reduction
    • Tenenbaum J.B., Silva V.D., and Langford J.C. A global geometric framework for non-linear dimensionality reduction. Science 290 (2000) 586-591
    • (2000) Science , vol.290 , pp. 586-591
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 22
    • 34548752768 scopus 로고
    • Feature-based correspondence: an eigenvector approach
    • Shapiro L.S., and Brady J.M. Feature-based correspondence: an eigenvector approach. Image and Vision Computing 10 (1992) 283-288
    • (1992) Image and Vision Computing , vol.10 , pp. 283-288
    • Shapiro, L.S.1    Brady, J.M.2
  • 23
    • 0033188822 scopus 로고    scopus 로고
    • Error correcting graph matching: on the influence of the underlying cost function
    • Bunke H. Error correcting graph matching: on the influence of the underlying cost function. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (1999) 917-922
    • (1999) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.21 , pp. 917-922
    • Bunke, H.1
  • 25
    • 33644979336 scopus 로고    scopus 로고
    • A spectral approach to learning structural variations in graphs
    • Luo B., Wilson R.C., and Hancock E.R. A spectral approach to learning structural variations in graphs. Pattern Recognition 39 (2006) 1188-1198
    • (2006) Pattern Recognition , vol.39 , pp. 1188-1198
    • Luo, B.1    Wilson, R.C.2    Hancock, E.R.3
  • 30
    • 67349104354 scopus 로고    scopus 로고
    • Geometric characterization and clustering of graphs using heat kernel embedding
    • submitted for publication
    • X. Bai, E.R. Hancock, Geometric characterization and clustering of graphs using heat kernel embedding, Image and Vision Computing, submitted for publication.
    • Image and Vision Computing
    • Bai, X.1    Hancock, E.R.2
  • 34
    • 67349229753 scopus 로고    scopus 로고
    • X. Bai, E.R. Hancock, Trace formula analysis of graphs. Structural, syntactic, and statistical pattern recognition, in: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, 2006, pp. 306-313.
    • X. Bai, E.R. Hancock, Trace formula analysis of graphs. Structural, syntactic, and statistical pattern recognition, in: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, 2006, pp. 306-313.
  • 36
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15 (2000) 1373-1396
    • (2000) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 39
    • 0037972137 scopus 로고    scopus 로고
    • Shape statistics in kernel space for variational image segmentation
    • Cremersa D., Kohlbergerb T., and Schn C. Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36 (2003) 1929-1943
    • (2003) Pattern Recognition , vol.36 , pp. 1929-1943
    • Cremersa, D.1    Kohlbergerb, T.2    Schn, C.3
  • 44
    • 0037028849 scopus 로고    scopus 로고
    • Iterative procrustes alignment with the EM algorithm
    • Luo B., and Hancock E. Iterative procrustes alignment with the EM algorithm. Image Vision Computing 20 (2002) 377-396
    • (2002) Image Vision Computing , vol.20 , pp. 377-396
    • Luo, B.1    Hancock, E.2
  • 46
    • 0037209409 scopus 로고    scopus 로고
    • Spectral correspondence for point pattern matching
    • Carcassoni M., and Hancock E. Spectral correspondence for point pattern matching. Pattern Recognition 36 (2003) 193-204
    • (2003) Pattern Recognition , vol.36 , pp. 193-204
    • Carcassoni, M.1    Hancock, E.2
  • 49
    • 0036721690 scopus 로고    scopus 로고
    • Relational object recognition from large structural libraries
    • Huet B., and Hancock E. Relational object recognition from large structural libraries. Pattern Recognition 35 (2002) 1895-1915
    • (2002) Pattern Recognition , vol.35 , pp. 1895-1915
    • Huet, B.1    Hancock, E.2
  • 50
    • 0041940183 scopus 로고    scopus 로고
    • Finding tracking people from the bottom up
    • Ramanam D., and Forsyth D.A. Finding tracking people from the bottom up. CVPR 2 (2003) 467-474
    • (2003) CVPR , vol.2 , pp. 467-474
    • Ramanam, D.1    Forsyth, D.A.2
  • 51
    • 0042440770 scopus 로고    scopus 로고
    • Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture
    • Cheung G.K.M., Baker S., and Kanade T. Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture. CVPR 1 (2003) 77-84
    • (2003) CVPR , vol.1 , pp. 77-84
    • Cheung, G.K.M.1    Baker, S.2    Kanade, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.