Sparse Modeling for Image and Vision Processing offers a self-contained view of sparse modeling for visual recognition and image processing. More specifically,

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among un

Image understanding has been playing an increasingly crucial role in vision applications. Sparse models form an important component in image understanding, sinc

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpret