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@inproceedings{bb44802,
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@inproceedings{bb44803,
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@inproceedings{bb44804,
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@inproceedings{bb44805,
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@inproceedings{bb44806,
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@inproceedings{bb44807,
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@inproceedings{bb44808,
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@inproceedings{bb44809,
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@inproceedings{bb44810,
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@inproceedings{bb44811,
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@inproceedings{bb44812,
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@inproceedings{bb44813,
        AUTHOR = "Tabia, H. and Picard, D. and Laga, H. and Gosselin, P.H.",
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        YEAR = "2013",
        PAGES = "xx-yy",
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@inproceedings{bb44814,
        AUTHOR = "Mottini, A. and Descombes, X. and Besse, F.",
        TITLE = "Tree-like Shapes Distance Using the Elastic Shape Analysis Framework",
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        YEAR = "2013",
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@inproceedings{bb44815,
        AUTHOR = "Alexandre, L.A.",
        TITLE = "Set Distance Functions for 3D Object Recognition",
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@inproceedings{bb44816,
        AUTHOR = "Martos, G. and Munoz, A. and Gonzalez, J.",
        TITLE = "On the Generalization of the Mahalanobis Distance",
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        YEAR = "2013",
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@inproceedings{bb44817,
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        TITLE = "Local Entropies for Kernel Selection and Outlier Detection in
Functional Data",
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@inproceedings{bb44818,
        AUTHOR = "Munoz, A. and Martos, G. and Gonzalez, J.",
        TITLE = "A New Distance for Data Sets in a Reproducing Kernel Hilbert Space
Context",
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@inproceedings{bb44819,
        AUTHOR = "Drayer, B. and Brox, T.",
        TITLE = "Training Deformable Object Models for Human Detection Based on
Alignment and Clustering",
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@inproceedings{bb44820,
        AUTHOR = "Drayer, B. and Brox, T.",
        TITLE = "Distances Based on Non-rigid Alignment for Comparison of Different
Object Instances",
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@inproceedings{bb44821,
        AUTHOR = "Amelio, A. and Pizzuti, C.",
        TITLE = "A New Evolutionary-Based Clustering Framework for Image Databases",
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@inproceedings{bb44822,
        AUTHOR = "Amelio, A. and Pizzuti, C.",
        TITLE = "Average Common Submatrix: A New Image Distance Measure",
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@inproceedings{bb44823,
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@inproceedings{bb44824,
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@inproceedings{bb44825,
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@inproceedings{bb44826,
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@inproceedings{bb44827,
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@inproceedings{bb44828,
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@inproceedings{bb44829,
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        TITLE = "Manhattan-Pyramid Distance:
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@inproceedings{bb44830,
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@inproceedings{bb44831,
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        YEAR = "2012",
        PAGES = "198-205",
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@inproceedings{bb44832,
        AUTHOR = "Wang, H. and Nie, F.P. and Huang, H.",
        TITLE = "Robust and discriminative distance for Multi-Instance Learning",
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@inproceedings{bb44833,
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@inproceedings{bb44834,
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@inproceedings{bb44835,
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@inproceedings{bb44836,
        AUTHOR = "Hou, J. and Zhang, B.P. and Qi, N.M. and Yang, Y.",
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@inproceedings{bb44837,
        AUTHOR = "Curic, V. and Lindblad, J. and Sladoje, N.",
        TITLE = "Distance Measures between Digital Fuzzy Objects and Their Applicability
in Image Processing",
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@inproceedings{bb44838,
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@inproceedings{bb44839,
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@article{bb44840,
        AUTHOR = "Xu, W.P. and Hancock, E.R. and Wilson, R.C.",
        TITLE = "Ricci flow embedding for rectifying non-Euclidean dissimilarity data",
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        NUMBER = "11",
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@inproceedings{bb44841,
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        TITLE = "Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding",
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        PAGES = "3324-3327",
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@inproceedings{bb44842,
        AUTHOR = "Xu, W.P. and Hancock, E.R. and Wilson, R.C.",
        TITLE = "Rectifying Non-euclidean Similarity Data through Tangent Space
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@inproceedings{bb44843,
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        TITLE = "Curvature Estimation for Ricci Flow Embedding",
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@inproceedings{bb44844,
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@inproceedings{bb44845,
        AUTHOR = "Ibba, A. and Duin, R.P.W. and Lee, W.J.",
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@inproceedings{bb44846,
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@inproceedings{bb44847,
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        TITLE = "The Quadratic-Chi Histogram Distance Family",
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@inproceedings{bb44848,
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        TITLE = "A Scalable Algorithm for Learning a Mahalanobis Distance Metric",
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        YEAR = "2009",
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@inproceedings{bb44849,
        AUTHOR = "Cheng, H. and Liu, Z.C. and Yang, J.",
        TITLE = "Sparsity induced similarity measure for label propagation",
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@inproceedings{bb44850,
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@inproceedings{bb44851,
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@inproceedings{bb44852,
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@inproceedings{bb44853,
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@inproceedings{bb44854,
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@inproceedings{bb44855,
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@inproceedings{bb44857,
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@inproceedings{bb44858,
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@inproceedings{bb44859,
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@inproceedings{bb44860,
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@inproceedings{bb44861,
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@inproceedings{bb44862,
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@inproceedings{bb44863,
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@inproceedings{bb44864,
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@inproceedings{bb44865,
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@inproceedings{bb44866,
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@inproceedings{bb44867,
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