메뉴 건너뛰기




Volumn , Issue , 2010, Pages 1871-1878

Unified graph matching in Euclidean spaces

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICAL PROBLEMS; DATA SETS; ESTIMATION METHODS; EUCLIDEAN SPACES; GRAPH MATCHINGS; LEARNING PROCESS; MACHINE-LEARNING; MATCHING PROBLEMS; NODE ATTRIBUTE;

EID: 77956007160     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539859     Document Type: Conference Paper
Times cited : (9)

References (25)
  • 4
    • 0016870630 scopus 로고
    • An algorithm for subgraph isomorphism
    • J. Ullman. An algorithm for subgraph isomorphism. Journal of the ACM, 23(1):31-42, 1976.
    • (1976) Journal of the ACM , vol.23 , Issue.1 , pp. 31-42
    • Ullman, J.1
  • 6
    • 85162021646 scopus 로고    scopus 로고
    • Robust nearisometric matching via structured learning of graphical models
    • J. J. McAuley, T. S. Caetano, and A. J. Smola. Robust nearisometric matching via structured learning of graphical models. NIPS, 2008.
    • (2008) NIPS
    • McAuley, J.J.1    Caetano, T.S.2    Smola, A.J.3
  • 7
    • 33947256803 scopus 로고    scopus 로고
    • Shape classification using the inner-distance
    • H. Ling and D. Jacobs. Shape classification using the inner-distance. IEEE Trans. on PAMI, 29(2):286-299, 2007.
    • (2007) IEEE Trans. on PAMI , vol.29 , Issue.2 , pp. 286-299
    • Ling, H.1    Jacobs, D.2
  • 8
    • 0019887799 scopus 로고
    • Identification of common molecular subsequences
    • T. F. Smith and M. S. Waterman. Identification of common molecular subsequences. Journal of Molecular Biology, 147:195-197, 1981.
    • (1981) Journal of Molecular Biology , vol.147 , pp. 195-197
    • Smith, T.F.1    Waterman, M.S.2
  • 9
    • 34548752768 scopus 로고
    • Feature-based correspondence - An eigenvector approach
    • L. Shapiro and J. Brady. Feature-based correspondence - an eigenvector approach. Image and Vision Computing, 10:283-288, 1992.
    • (1992) Image and Vision Computing , vol.10 , pp. 283-288
    • Shapiro, L.1    Brady, J.2
  • 11
    • 0031170034 scopus 로고    scopus 로고
    • Structural matching by discrete relaxation
    • R. C. Wilson and E. R. Hancock. Structural matching by discrete relaxation. IEEE Trans. on PAMI, 19(6):634-648, 1997.
    • (1997) IEEE Trans. on PAMI , vol.19 , Issue.6 , pp. 634-648
    • Wilson, R.C.1    Hancock, E.R.2
  • 13
    • 0030125842 scopus 로고    scopus 로고
    • A graduated assignment algorithm for graph matching
    • S. Gold and A. Rangarajan. A graduated assignment algorithm for graph matching. IEEE Trans. PAMI, 18(4):377-388, 1996.
    • (1996) IEEE Trans. PAMI , vol.18 , Issue.4 , pp. 377-388
    • Gold, S.1    Rangarajan, A.2
  • 14
    • 54749101216 scopus 로고    scopus 로고
    • Graph rigidity, cyclic belief propagation and point pattern matching
    • J. J. McAuley, T. S. Caetano, and M. S. Barbosa. Graph rigidity, cyclic belief propagation and point pattern matching. IEEE Trans. on PAMI, 30(11):2047-2054, 2008.
    • (2008) IEEE Trans. on PAMI , vol.30 , Issue.11 , pp. 2047-2054
    • McAuley, J.J.1    Caetano, T.S.2    Barbosa, M.S.3
  • 15
    • 70349586092 scopus 로고    scopus 로고
    • Faster graphical models for point-pattern matching
    • T. S. Caetano and J. J. McAuley. Faster graphical models for point-pattern matching. Spatial Vision, 2009.
    • (2009) Spatial Vision
    • Caetano, T.S.1    McAuley, J.J.2
  • 16
    • 34147182233 scopus 로고    scopus 로고
    • A unified formulation of invariant point pattern matching
    • T. S. Caetano and T. Caelli. A unified formulation of invariant point pattern matching. In ICPR, 2006.
    • (2006) ICPR
    • Caetano, T.S.1    Caelli, T.2
  • 17
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. In ICCV, 1999.
    • (1999) ICCV
    • Lowe, D.G.1
  • 18
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun. Support vector machine learning for interdependent and structured output spaces. In ICML, 2004.
    • (2004) ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 19
    • 56449094547 scopus 로고    scopus 로고
    • A scalable modular convex solver for regularized risk minimization
    • C. H. Teo, Q. Le, A. J. Smola, and S. V. N. Vishwanathan. A scalable modular convex solver for regularized risk minimization. In KDD, 2007.
    • (2007) KDD
    • Teo, C.H.1    Le, Q.2    Smola, A.J.3    Vishwanathan, S.V.N.4
  • 22
    • 71149086466 scopus 로고    scopus 로고
    • Learning structural SVMs with latent variables
    • C. J. Yu and T. Joachims. Learning structural SVMs with latent variables. In ICML, 2009.
    • (2009) ICML
    • Yu, C.J.1    Joachims, T.2
  • 23
    • 33845584936 scopus 로고    scopus 로고
    • Multiple object class detection with a generative model
    • K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection with a generative model. In CVPR, 2006.
    • (2006) CVPR
    • Mikolajczyk, K.1    Leibe, B.2    Schiele, B.3
  • 24
    • 70350352922 scopus 로고    scopus 로고
    • Comparison of local image descriptors for full 6 degree-of-freedom pose estimation
    • F. Vikstén, P. Forssén, B. Johansson, and A. Moe. Comparison of local image descriptors for full 6 degree-of-freedom pose estimation. In ICRA, 2009.
    • (2009) ICRA
    • Vikstén, F.1    Forssén, P.2    Johansson, B.3    Moe, A.4
  • 25
    • 77955993630 scopus 로고    scopus 로고
    • Dataset sources: http://sampl.ece.ohio-state.edu/database.htm http://tosca.cs.technion.ac.il http://vasc.ri.cmu.edu/idb/html/motion/ http://www.cvl.isy.liu.se/research/objrec/posedb
    • Implementation of our method: http://users.cecs.anu.edu.au/~julianm/ Dataset sources: http://sampl.ece.ohio-state.edu/database.htm http://tosca.cs.technion.ac.il http://vasc.ri.cmu.edu/idb/html/motion/ http://www.cvl.isy.liu.se/research/objrec/posedb/.
    • Implementation of Our Method


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.