Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Video coding techniques yielding state-of-the-art compression performance require large amount of computational resources, hence practical implementations, which target a broad ma...
Fabio Verdicchio, Yiannis Andreopoulos, Tom Clerck...
In this work we tackle the open problem of self-join size (SJS) estimation in a large-scale Distributed Data System, where tuples of a relation are distributed over data nodes whic...
Detecting regions of interest in video sequences is the most important task in many high level video processing applications. In this paper a robust technique based on recursive l...
Object-oriented programming is the current mainstream programming paradigm but existing RDF APIs are mostly tripleoriented. Traditional techniques for bridging a similar gap betwe...
Eyal Oren, Renaud Delbru, Sebastian Gerke, Armin H...