Data modeling is the way we, scientists, believe information should be explained and handled. Indeed, models are central in almost every task in signal and image processing and machine learning. Sparse representation theory (Sparseland) presents a highly effective and universal model, which has been shown to lead to state-of-the-art results in numerous applications.
We are delighted to announce a new Massive Open Online Course (MOOC) on sparse representations, constructed by Prof. Michael Elad from the Technion’s Computer Science Department. This new edX course is made up of two sessions, each running five weeks: the first session presents basic theoretical ideas of sparse representations, and the second connects this model to applications in image processing.
If you are interested in advanced topics in signal and image processing, please join us in this course. Note that registration has already opened, and the course will begin on October 25. In a format that is unique worldwide, we plan to run this edX course in parallel to a formal academic Technion’s course that will be taught in this winter semester.