Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
We show that the basic problems of permutation group manipulation admit e cient parallel solutions. Given a permutation group G by a list of generators, we nd a set of NC-e cient ...