Schachtner, R. and Poeppel, G. and Lang, E. W. (2011) Towards unique solutions of non-negative matrix factorization problems by a determinant criterion. DIGITAL SIGNAL PROCESSING, 21 (4). pp. 528-534. ISSN 1051-2004, 1095-4333
Full text not available from this repository. (Request a copy)Abstract
We propose a determinant criterion to constrain the solutions of non-negative matrix factorization problems and achieve unique and optimal solutions in a general setting, provided an exact solution exists. We demonstrate how optimal solutions are obtained by a heuristic named detNMF in an illustrative example and discuss the difference to sparsity constraints. Furthermore, an intuitive explanation of multi-layer techniques is discussed also. (C) 2011 Elsevier Inc. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SPARSE COMPONENT ANALYSIS; GENETIC ALGORITHMS; CLASSIFICATION; CONSTRAINTS; TENSOR; Non-negative matrix factorization; Uniqueness; Blind source separation |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 09 Jun 2020 06:23 |
| Last Modified: | 09 Jun 2020 06:23 |
| URI: | https://pred.uni-regensburg.de/id/eprint/20639 |
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