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Volumn 7574 LNCS, Issue PART 3, 2012, Pages 821-835

On the convergence of graph matching: Graduated assignment revisited

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS DOMAIN; CONVERGENT ALGORITHMS; DISCRETE DOMAINS; EXACT SOLUTION; FIXED POINTS; GRADUATED ASSIGNMENT; GRADUATED ASSIGNMENT ALGORITHM; GRAPH MATCHINGS; HUNGARIAN METHOD; ITERATIVE GRADIENTS; NP-HARD; SECOND ORDERS;

EID: 84867877067     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33712-3_59     Document Type: Conference Paper
Times cited : (35)

References (13)
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  • 2
    • 0030125842 scopus 로고    scopus 로고
    • A graduated assignment algorithm for graph matching
    • Gold, S., Rangarajan, A.: A graduated assignment algorithm for graph matching. PAMI (1996)
    • (1996) PAMI
    • Gold, S.1    Rangarajan, A.2
  • 3
    • 33745886518 scopus 로고    scopus 로고
    • A Spectral Technique for Correspondence Problems using Pairwise Constraints
    • Leordeanu, M., Hebert, M.: A Spectral Technique for Correspondence Problems using Pairwise Constraints. In: ICCV (2005)
    • (2005) ICCV
    • Leordeanu, M.1    Hebert, M.2
  • 4
    • 78149349206 scopus 로고    scopus 로고
    • Reweighted Random Walks for Graph Matching
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. Springer, Heidelberg
    • Cho, M., Lee, J., Lee, K.M.: Reweighted Random Walks for Graph Matching. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 492-505. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6315 , pp. 492-505
    • Cho, M.1    Lee, J.2    Lee, K.M.3
  • 5
    • 84858731529 scopus 로고    scopus 로고
    • An integer projected fixed point method for graph matching and map inference
    • Leordeanu, M., Herbert,M.: An integer projected fixed point method for graph matching and map inference. In: NIPS (2009)
    • (2009) NIPS
    • Leordeanu, M.1    Herbert, M.2
  • 6
    • 0029454965 scopus 로고
    • Softmax to softassign: Neural network algorithms for combinatorial optimization
    • Gold, S., Rangarajan, A.: Softmax to softassign: neural network algorithms for combinatorial optimization. J. Artif. Neural Netw., 3810-399 (1995)
    • (1995) J. Artif. Neural Netw. , pp. 3810-4399
    • Gold, S.1    Rangarajan, A.2
  • 7
    • 0033566439 scopus 로고    scopus 로고
    • Convergence properties of the softassign quadratic assignment algorithm
    • Rangarajan, A., Yuille, A.: Convergence properties of the softassign quadratic assignment algorithm. Neural Computation (1999)
    • (1999) Neural Computation
    • Rangarajan, A.1    Yuille, A.2
  • 8
    • 0002719797 scopus 로고
    • The Hungarian method for the assignment problem
    • Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Research Logistics Quarterly 2(1-2), 83-97 (1955)
    • (1955) Naval Research Logistics Quarterly , vol.2 , Issue.1-2 , pp. 83-97
    • Kuhn, H.W.1
  • 9
    • 0031170034 scopus 로고    scopus 로고
    • Structural matching in computer vision using probabilistic relaxation
    • Christmas, W., Kittler, J., Petrou, M.: Structural matching in computer vision using probabilistic relaxation. PAMI 19(6), 634-648 (1997)
    • (1997) PAMI , vol.19 , Issue.6 , pp. 634-648
    • Christmas, W.1    Kittler, J.2    Petrou, M.3
  • 12
    • 80052907428 scopus 로고    scopus 로고
    • Hyper-graph Matching via Reweighted RandomWalks
    • Lee, J., Cho, M., Lee, K.M.: Hyper-graph Matching via Reweighted RandomWalks. In: CVPR (2011)
    • (2011) CVPR
    • Lee, J.1    Cho, M.2    Lee, K.M.3
  • 13
    • 0028261345 scopus 로고
    • The Invisible Hand Algorithm: Solving the Assignment Problem with Statistical Physics
    • Kosowsky, J.J., Yuille, A.L.: The Invisible Hand Algorithm: Solving the Assignment Problem With Statistical Physics. Neural Networks 7(3) (1994)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.