Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Within the last few years generative modeling techniques have gained attention especially in the context of cultural heritage. As a generative model describes a rather ideal object...
Christoph Schinko, Martin Strobl, Torsten Ullrich,...
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
In games where skills such as targeting are critical to winning, it is difficult for players with different skill levels to have a competitive and engaging experience. Although se...
Scott Bateman, Regan L. Mandryk, Tadeusz Stach, Ca...