Monday, November 10, 2014

Book: Sparse Modeling for Image and Vision Processing

Julien Mairal just let me know of a review, he,Francis Bach, Jean Ponce have produced on Sparse Modeling for Image and Vision Processing. Here it is:

Sparse Modeling for Image and Vision Processing by Julien Mairal, Francis Bach, Jean Ponce
In recent years, a large amount of multi-disciplinary research has been conducted on sparse models and their applications. In statistics and machine learning, the sparsity principle is used to perform model selection—that is, automatically selecting a simple model among a large collection of them. In signal processing, sparse coding consists of representing data with linear combinations of a few dictionary elements. Subsequently, the corresponding tools have been widely adopted by several scientific communities such as neuroscience, bioinformatics, or computer vision. The goal of this monograph is to offer a self-contained view of sparse modeling for visual recognition and image processing. More specifically, we focus on applications where the dictionary is learned and adapted to data, yielding a compact representation that has been successful in various contexts.
It is also on HAL:
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