In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...
Abstract-In traditional cellular systems with fixed base stations the channel reuse pattern is static and deterministic. When the cell layout is dynamic, due to the mobility of bas...
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Semistructured data is not strictly typed like relational or object-oriented data and may be irregular or incomplete. It often arises in practice, e.g., when heterogeneous data so...
Serge Abiteboul, Jason McHugh, Michael Rys, Vasili...