The name of this article is " Online Dictionary Learning for Sparse
Coding " , Article
written and published in Montreal, Canada, 2009 of the 26th International Conference on Machine Learning. The authors are Julien Mairal,Francis Bach Professors at the
university of INRIA in france,while Jean Ponce is from Ecole Normale
Superieure, and Guillermo Sapiro from University of Minnesota -
Department of Electrical and Computer Engineering, 200 Union Street SE,
Minneapolis, USA .
During this report, we will present the article from different views. First
we will expose the general context of image and vidéo procesing, After that, we
will concentrate on the article's contributions. In order to propose the new
online optimization algorithm for dictionary learning . We will be presenting
the different results of these experiments later on the report. By the end, we
will conclude with application to inpainting.
So this article talk in the introduction what is the sparse coding and dictionary learning are about and also why one should care, after that we're going to define Optimization techniques for sparse coding, next i will going to the dictionary learning for reconstruction, Learning for the task, finally i will present the new sparse models.