Unsupervised Representation Learning with Minimax Distance Measures

27 Apr 2019 Morteza Haghir Chehreghani

We investigate the use of Minimax distances to extract in a nonparametric way the features that capture the unknown underlying patterns and structures in the data. We develop a general-purpose and computationally efficient framework to employ Minimax distances with many machine learning methods that perform on numerical data... (read more)

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