Kernel subspace pursuit for sparse regression ? ??
This paper introduces a kernel version of the Subspace Pursuit algorithm. The proposed method, KSP, is a new iterative method for sparse regression. KSP outperforms and is less computationally intensive than related kernel methods.
subspace pursuit regression kernel methods sparse function approximation