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Florence, Italy, 2012: 646–659. [19] LE CAPITAINE H. Constraint selection in metric learn￾ing[J]. Knowledge-based systems, 2018, 146(15): 91–103. [20] PERROT M, HABRARD A. Regressive virtual metric learning[C]//Advances in Neural Information Processing Systems. Montréal, Canada, 2015: 1810–1818. [21] WANG Faqiang, ZUO Wangmeng, ZHANG Lei, et al. A kernel classification framework for metric learning[J]. IEEE transactions on neural networks and learning sys￾tems, 2015, 26(9): 1950–1962. [22] ZUO Wangmeng, WANG Faqiang, ZHANG D, et al. Dis￾tance metric learning via iterated support vector ma￾chines[J]. IEEE transactions on image processing, 2017, 26(10): 4937–4950. [23] MEI Jiangyuan, LIU Meizhu, KARIMI H R, et al. Log￾Det divergence-based metric learning with triplet con￾straints and its applications[J]. IEEE transactions on im- [24] ·36· 智 能 系 统 学 报 第 16 卷
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