CSE 705: Seminar in Sparse Representation and Low-Rank Matrix Analytics
This page refers to the Spring 2012 offering of CSE 705 only. The information on this page does not necessarily apply to every offering of CSE 705.
Spring 2012
14814
Seminar in Sparse Representation and Low-Rank Matrix Analytics
This is a seminar course covering the popular machine learning topics in sparse representation, low-rank matrix approximation and recovery. We will read and discuss latest papers with all the students involved. Guest lecturers will be invited to present some topics if funding is available for honoraria or expenses.
Fundamental knowledge and some experiences of machine learning, image processing, and computer vision.
Ph.D.: This course does not fulfill core area or core course requirements.
M.S.: This course does not fulfill core area or core course requirements.
