Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications
Author:
Affiliation:
1. Mathematics and Operational Research, University of Mons, Mons, Belgium
Funder
Fonds de la Recherche Scientifique - FNRS
Research Project
FRIA F.R.S.-FNRS PhD
Fonds Wetenschappelijk Onderzoek - Vlanderen
EOS Project
Francqui Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/10040758/10164188.pdf?arnumber=10164188
Reference49 articles.
1. When does non-negative matrix factorization give a correct decomposition into parts?;donoho;Proc Adv Neural Inf Process Syst,0
2. From separability/identifiability properties of bilinear and linear-quadratic mixture matrix factorization to factorization algorithms
3. On Identifiability of Nonnegative Matrix Factorization
4. A Class of Bounded Component Analysis Algorithms for the Separation of Both Independent and Dependent Sources
5. A Direct Formulation for Sparse PCA Using Semidefinite Programming
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