A software package developed for the purpose of feature selection in statistical pattern recognition is presented. The software tool includes both several classical and new method...
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
In this paper, we present our effort in developing an opensource GPU (graphics processing units) code library for the MATLAB Image Processing Toolbox (IPT). We ported a dozen of r...
Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liy...
Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components...
David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver...
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...