Finding median point-set using earth mover's distance

作者: Jinhui Xu , Hu Ding

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摘要: … to minimize the total Earth Mover’s Distances (EMD) between the … graph-based approaches (eg, median graph, shock graph), … to map between objects and graphs, and therefore avoid …

参考文章(21)
Hu Ding, Jinhui Xu, FPTAS for Minimizing Earth Mover’s Distance under Rigid Transformations european symposium on algorithms. pp. 397- 408 ,(2013) , 10.1007/978-3-642-40450-4_34
Panos Giannopoulos, Remco C. Veltkamp, A Pseudo-Metric for Weighted Point Sets european conference on computer vision. pp. 715- 730 ,(2002) , 10.1007/3-540-47977-5_47
Oliver Klein, Remco C. Veltkamp, Approximation Algorithms for Computing the Earth Mover’s Distance Under Transformations Algorithms and Computation. pp. 1019- 1028 ,(2005) , 10.1007/11602613_101
Geoffrey J. McLachlan, Kaye E. Basford, Mixture models : inference and applications to clustering Statistics: Textbooks and Monographs. ,vol. 84, ,(1988)
Sergio Cabello, Panos Giannopoulos, Christian Knauer, Günter Rote, Matching point sets with respect to the Earth Mover's Distance Computational Geometry: Theory and Applications. ,vol. 39, pp. 118- 133 ,(2008) , 10.1016/J.COMGEO.2006.10.001
E. Ricci, G. Zen, N. Sebe, S. Messelodi, A Prototype Learning Framework Using EMD: Application to Complex Scenes Analysis IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 35, pp. 513- 526 ,(2013) , 10.1109/TPAMI.2012.131
M. Ferrer, D. Karatzas, E. Valveny, I. Bardaji, H. Bunke, A generic framework for median graph computation based on a recursive embedding approach Computer Vision and Image Understanding. ,vol. 115, pp. 919- 928 ,(2011) , 10.1016/J.CVIU.2010.12.010
P.J. Besl, Neil D. McKay, A method for registration of 3-D shapes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 14, pp. 239- 256 ,(1992) , 10.1109/34.121791
Benjamin B. Kimia, Thomas B. Sebastian, Philip N. Klein, Providence Ri, Recognition of Shapes by Editing Shock Graphs international conference on computer vision. ,vol. 2, pp. 755- 762 ,(2001) , 10.1109/ICCV.2001.10050