MATLAB Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints |
Mikkel N. Schmidt, Morten Arngren, Jan Larsen
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| Abstract | The MATLAB toolbox consists of Bayesian NMF algorithms with a volume and sum-to-one constraint. The BayesNMF-Vol contains simplex volume, parallelepiped volume, and Euclidian distance based volume constraint. |
| Keywords | Bayesian, volume constraint, Gibbs sampling, NMF, |
| Type | Software |
| Year | 2010 Month March |
| Publisher | Department of Informatics and Mathematical Modelling |
| Address | Richard Petersens Plads, Building 321, 2800 Kongens Lyngby, Denmark |
| Note | The toolbox is used in the paper "Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior" http://www.imm.dtu.dk/pubdb/p.php?5835 |
| Electronic version(s) | [zip] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |