Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank

Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank–Wolfe Approach

Author:

Nguyen Tri¹^ORCID,Fu Xiao¹^ORCID,Wu Ruiyuan²^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA

2. Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, N.T., Hong Kong, SAR

Funder

Army Research Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

Reference55 articles.

1. When does non-negative matrix factorization give a correct decomposition into parts?;donoho;Proc Adv Neural Inf Process Syst,0

5. Ellipsoidal rounding for nonnegative matrix factorization under noisy separability;mizutani;J Mach Learn Res,2014

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