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Volumn 5534 LNCS, Issue , 2009, Pages 144-153

Inexact matching of large and sparse graphs using laplacian eigenvectors

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES; EIGENVECTOR COMPUTATIONS; EIGENVECTORS; EMBEDDINGS; GRAPH LAPLACIAN; INEXACT GRAPH MATCHING; LAPLACIAN EIGENVECTORS; LAPLACIAN MATRICES; LARGE GRAPHS; REGISTRATION ALGORITHMS; SPARSE GRAPHS; SPECTRAL MATCHING ALGORITHMS; TWO-GRAPHS;

EID: 70349791916     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02124-4_15     Document Type: Conference Paper
Times cited : (41)

References (13)
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  • 3
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    • Feature-based correspondence: An eigenvector approach
    • Shapiro, L., Brady, J.: Feature-based correspondence: an eigenvector approach. Image and Vision Computing 10, 283-288 (1992)
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    • Shapiro, L.1    Brady, J.2
  • 4
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    • Correspondence matching with modal clusters
    • Carcassoni, M., Hancock, E.R.: Correspondence matching with modal clusters. IEEE PAMI 25, 1609-1615 (2003)
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    • Carcassoni, M.1    Hancock, E.R.2
  • 5
    • 0037209409 scopus 로고    scopus 로고
    • Spectral correspondence for point pattern matching
    • Carcassoni, M., Hancock, E.R.: Spectral correspondence for point pattern matching. Pattern Recognition 36, 193-204 (2003)
    • (2003) Pattern Recognition , vol.36 , pp. 193-204
    • Carcassoni, M.1    Hancock, E.R.2
  • 6
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15, 1373-1396 (2003)
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 7
    • 1842426385 scopus 로고    scopus 로고
    • An eigenspace projection clustering method for inexact graph matching
    • Caelli, T., Kosinov, S.: An eigenspace projection clustering method for inexact graph matching. IEEE PAMI 26, 515-519 (2004)
    • (2004) IEEE PAMI , vol.26 , pp. 515-519
    • Caelli, T.1    Kosinov, S.2
  • 8
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng, A., Jordan, M., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: NIPS (2002)
    • (2002) NIPS
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 12
    • 34547913193 scopus 로고    scopus 로고
    • MCLUST version 3 for R: Normal mixture modeling and model-based clustering
    • University of Washington
    • Fraley, C., Raftery, A.: MCLUST version 3 for R: Normal mixture modeling and model-based clustering. Technical Report 504, Department of Statistics, University of Washington (2006)
    • (2006) Technical Report 504 Department of Statistics
    • Fraley, C.1    Raftery, A.2
  • 13
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    • Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
    • Mateus, D., Horaud, R., Knossow, D., Cuzzolin, F., Boyer, E.: Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration. In: CVPR (2008)
    • (2008) CVPR
    • Mateus, D.1    Horaud, R.2    Knossow, D.3    Cuzzolin, F.4    Boyer, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.