Monday, November 14, 2016

ICLR 2017: Sparse Coding, Canonical Correlation Analysis and Dictionary Learning

 
 
Sparse Coding, Canonical Correlation and Dictionary Learning are Matrix Factorization operations. They are used in a variety of ways in building Deep Neural architectures. Here are a few I noticed in  the 500 submissions at the ICLR 2017 conference that are in the open review process.


Credit photo: NASA/JPL/University of Arizona




 
 
 
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