Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts

标题
Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts
作者
关键词
-
出版物
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 22, Issue 10, Pages 1626-1637
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2011-08-31
DOI
10.1109/tnn.2011.2164621

向作者/读者发起求助以获取更多资源

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started