Guillermo Sapiro

Guillermo Sapiro
Friday, September 14, 2012 - 3:30pm
gs108@duke.edu
Old Chemistry 116
Abstract: 
Sparse modeling has been very successful in many areas of data analysis. While very important developments in optimization theory have made sparse coding efficient, the underlying algorithms are still computationally very expensive. In this talk we will illustrate how we can learn the optimizer, in an on-line fashion, and design sparse coding techniques capable of running on real-time in portable devices. We will also illustrate the extension of this to NMF and PCA. Applications in image and audio analysis will be presented.


Series: 
Statistical Science Seminar Series

Description: 

Seminars generally take place in 116 Old Chem Building on Fridays from 3:30 - 4:30 pm. However, please check individual abstracts to confirm time and location. Refreshments will be served after the seminars in Old Chemistry 211. Metered Parking is available at various locations on campus. If you have never visited us before, please see our driving directions and map. The easiest and most convenient parking areas are located at the Bryan Center parking garage near Duke Statistics (recommended) or at the Sarah P. Duke Gardens. Please email or call Karen Herndon for additional information: karen@stat.duke.edu or phone 919-684-8029. Sorry, but we do not have reprints available. Please feel free to contact the authors by email for follow-up information, articles, etc.

Reception following seminar in 211 Old Chemistry