Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning

Abstract

We propose a new method for high-dimensional semi-supervised learning problems based on the careful aggregation of the results of a low-dimensional procedure applied to many axis-aligned random pro...