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

Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments: