A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
The contribution of this paper is twofold. First a distributed garbage collector (DGC) is presented that is optimized for remote method invocation in reliable networks, such as cu...
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Detection of appearance/disappearance of objects from satellite images is generally very difficult since background pixels also change their intensity values owing to various fac...