We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Abstract. This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in ...
In contrast to specialized video servers, advanced multimedia applications for tele-shopping, tele-teaching and news-on-demand exhibit a mixed workload with massive access to conv...
Despite the dramatic growth of online genomic data, their understanding is still in early stage. To have meaningful interpretation, it requires the integration of various types of ...