Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction-Reference-Cited by-同舟云学术

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Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction

Published:2019-05 Issue: Volume:122 Page:53-59
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Atif Syed Muhammad,Qazi Sameer,Gillis Nicolas^ORCID

Funder

European Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. Nonnegative matrices in the mathematical sciences;Berman,1994

2. SVD based initialization: a head start for nonnegative matrix factorization;Boutsidis;Pattern Recognit.,2008

3. Resolving the sign ambiguity in the singular value decomposition;Bro;J. Chemom.,2008

4. Subtractive clustering for seeding non-negative matrix factorizations;Casalino;Inf. Sci.,2014

5. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis and Blind Source Separation;Cichocki,2009

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