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Dikmen, E. Akbas, T.S. Huang, and N. Ahuja, \u201cPedestrian recognition with a learned metric,\u201d Proc. Asia Conf. Computer Vision, pp.501-512, 2010.","DOI":"10.1007\/978-3-642-19282-1_40"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] D.S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino, \u201cCustom pictorial structures for re-identification,\u201d Proc. British Machine Vision Conf., pp.68.1-68.11, Sept. 2011.","DOI":"10.5244\/C.25.68"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] L. Bazzani, M. Cristani, A. Perina, and V. Murino, \u201cMultiple-shot person re-identification by chromatic and epitomic analyses,\u201d Pattern Recognit. Lett., vol.33, no.7, pp.898-903, May 2012.","DOI":"10.1016\/j.patrec.2011.11.016"},{"key":"11","unstructured":"[11] L. Bazzani, M. Cristani, A. Perina, M. Farenzena, and V. Murino, \u201cMultiple-shot person re-identification by HPE signature,\u201d Proc. Int'l Conf. 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Davis, \u201cLearning discriminative appearance-based models using partial least squares,\u201d Proc. 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, pp.322-329, 2009."},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] W. Li, R. Zhao, and X. Wang, \u201cHuman reidentification with transferred metric learning,\u201d Proc. Asia Conf. Computer Vision, pp.31-44, Nov. 2012.","DOI":"10.1007\/978-3-642-37331-2_3"},{"key":"17","unstructured":"[17] W. Li, Y. Wu, M. Mukunoki, and M. Minoh, \u201cBi-level relative information analysis for multiple-shot person re-identification,\u201d IEICE, Trans. Inf. & Syste. vol.E96-D, no.11, pp.2450-2461, Nov. 2013."},{"key":"18","unstructured":"[18] E.P. Xing, A.Y. Ng, M.I. Jordan, and S. Russell, \u201cDistance metric learning, with application to clustering with side-information,\u201d Proc. Advances in Neural Information Processing Systems 15, pp.505-512, 2002."},{"key":"19","unstructured":"[19] A. Bar-Hillel, T. Hertz, N. Shental, and D. Weinshall, \u201cLearning a Mahalanobis metric from equivalence constraints,\u201d J. Machine Learning Research, vol.6, pp.937-965, Dec. 2005."},{"key":"20","unstructured":"[20] J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov, \u201cNeighbourhood components analysis,\u201d Proc. Advances in Neural Information Processing System 17, pp.513-520, 2004."},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] J.V. Davis, B. Kulis, P. Jain, S. Sra, and I.S. Dhillon, \u201cInformation-theoretic metric learning,\u201d Proc. Int'l Conf. Machine Learning, pp.209-216, 2007.","DOI":"10.1145\/1273496.1273523"},{"key":"22","unstructured":"[22] K.Q. Weinberger and L.K. Saul, \u201cDistance metric learning for large margin nearest neighbor classification,\u201d J. Machine Learning Research, vol.10, pp.207-244, June 2009."},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] S. Chopra, R. Hadsell, and Y. 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