Distance Measure Machines

1 Mar 2018Alain RakotomamonjyAbraham TraoréMaxime BerarRémi FlamaryNicolas Courty

This paper presents a distance-based discriminative framework for learning with probability distributions. Instead of using kernel mean embeddings or generalized radial basis kernels, we introduce embeddings based on dissimilarity of distributions to some reference distributions denoted as templates... (read more)

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