The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...
Sven Rebhan, Julian Eggert, Horst-Michael Gro&szli...
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Quadraturemirror filter(QMF)bank with multi-criterion constraints suchas minimal aliasing and/or minimal error coding is amongthe most important problems in filter bank design, fo...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Significant progress in control design has been achieved by the use of nonsmooth and semiinfinite mathematical programming techniques. In contrast with LMI or BMI approaches, thes...