In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
In this paper we study the problem of designing concurrent searchable data structures with performance guarantees that can be used in a distributed environment where data elements...
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
The location of facilities in order to provide service for customers is a well-studied problem in the operations research literature. In the basic model, there is a predefined cos...