@MISC\{IMM2010-05834, author = "M. N. Schmidt and M. Arngren and J. Larsen", title = "{MATLAB} Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints", year = "2010", month = "mar", keywords = "Bayesian, volume constraint, Gibbs sampling, {NMF},", 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", url = "http://www2.compute.dtu.dk/pubdb/pubs/5834-full.html", 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." }