Laurent Le Brusquet

A Non-Convex Proximal Approach for Centroid-Based Classification

In this paper, we propose a novel variational approach for supervised classification based on transform learning. Our approach consists of formulating an optimization problem on both the transform matrix and the centroids of the classes in a low-dimensional transformed space. The loss function is ba…