This paper considers the objectives of accurate stereo matching, especially at object boundaries, robustness against recording or illumination changes and efficiency of the calcul...
Abstract. We are interested in diffusion PDE's for smoothing multi-valued images in an anisotropic manner. By pointing out the pros and cons of existing tensor-driven regulari...
Moving objects (e.g., vehicles in road networks) continuously generate large amounts of spatio-temporal information in the form of data streams. Efficient management of such strea...
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Online Scientific Applications (OSA) require statistical analysis of large multidimensional datasets. Towards this end, we have designed and developed a data storage and retrieval...