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A Bayesian approach to the Lee–Seung update rules for NMF
Schachtner, R., Poeppel, G., Tomé, A.M.
and Lang, E.W.
(2014)
A Bayesian approach to the Lee–Seung update rules for NMF.
Pattern Recognition Letters 45, pp. 251-256.
Date of publication of this fulltext: 19 Dec 2024 08:08
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| Item type | Article | ||||
| Journal or Publication Title | Pattern Recognition Letters | ||||
| Publisher: | ELSEVIER SCIENCE BV | ||||
|---|---|---|---|---|---|
| Place of Publication: | AMSTERDAM | ||||
| Volume: | 45 | ||||
| Page Range: | pp. 251-256 | ||||
| Date | 2014 | ||||
| Institutions | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number |
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| Keywords | NONNEGATIVE MATRIX FACTORIZATION; INDEPENDENT COMPONENT ANALYSIS; ALGORITHMS; CLASSIFICATION; MODELS; PCA; Variational Bayes NMF; Bayesian optimality criteria; Lee-Seung update rules | ||||
| Dewey Decimal Classification | 500 Science > 570 Life sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 61317 |
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