Name
Abstract | ||
|---|---|---|
•A new variational Bayes algorithm for non-negative matrix factorization is proposed.•The algorithm VBNMF generalizes the classical Lee–Seung multiplicative update rules.•The Lee–Seung rules are obtained from a MAP approximation of the VBNMF algorithm.•The VBNMF can provide model order selection and automatic relevance detection. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patrec.2014.04.013 | Pattern Recognition Letters |
Keywords | Field | DocType |
Variational Bayes NMF,Bayesian optimality criteria,Lee–Seung update rules | Kernel (linear algebra),Multiplicative function,Pattern recognition,Canonical form,Artificial intelligence,Non-negative matrix factorization,Blind signal separation,Gaussian noise,Mathematics,Bayes' theorem,Bayesian probability | Journal |
Volume | ISSN | Citations |
45 | 0167-8655 | 5 |
PageRank | References | Authors |
0.40 | 29 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reinhard Schachtner | 1 | 17 | 3.10 |
| Gerhard Pöppel | 2 | 17 | 3.44 |
| Ana Maria Tomé | 3 | 163 | 30.42 |
| Elmar Wolfgang Lang | 4 | 260 | 36.10 |