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An Overview of Distance Metric Learning Liu Yang October 28, 2007 In our previous comprehensive survey [41], we have categorized the disparate is- sues in distance metric learning. Within each of the four categories, we have summa- rized existing work, disclosed their essential connections, strengths and weaknesses. The first category is supervised distance metric learning, which contains supervis
Liu Yang, Prof. Rong Jin Welcome! This is a Matlab toolkit for distance metric learning, including the implementation of a number of published machine learning algorithms in this area. The first version of this toolkit has been available since Oct. 28, 2007. This toolkit is to provide a collection of baseline methods for distance metric learning research, and to faciliate the usage of these approa
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