Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations

Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon

Abstract: We propose and analyze a novel framework for learning sparse representations, based on two statistical techniques: kernel smoothing and marginal regression. The proposed approach provides a flexibl...