Our paper on independent low-rank matrix analysis has been selected as ACM Computing Reviews Notable Books and Articles 2016

By | Monday July 10th, 2017

Our following paper on independent low-rank matrix
analysis (the corresponding author is Prof. Kitamura)
has been selected as a part of “21st Annual Best of Computing Notable
Books and Articles 2016” in ACM Computing Reviews:

Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka,
and Hiroshi Saruwatari, “Determined blind source separation unifying
independent vector analysis and nonnegative matrix factorization,”
IEEE Transactions on Audio, Speech and Language Processing,
vol. 24, no. 9, pp. 1626-1641, Sept. 2016.

(See more details in the following links.)
http://www.computingreviews.com/recommend/bestof/
notableitems.cfm?bestYear=2016

< http://www.computingreviews.com/recommend/bestof/2016NotableItems.pdf >