New Algorithms in Information Science

Stanley Osher
University of California, Los Angeles (UCLA)

The past few years have seen an incredible explosion of new (or revival of
old) fast and effective algorithms for various imaging and information science applications. These include: nonlocal means, compressive sensing, Bregman iteration, as well as relatively old favorites such as the level set method and PDE based image restoration. I'll give my view of where we are and what near future may hold.


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