The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
Abstract. In a stereoscopic system, both eyes or cameras have a slightly dierent view. As a consequence, small variations between the projected images exist (`disparities') ...
— We present in this paper an approach aiming at dynamically adapting a component structure while preserving its behavior and its services. Among the motivations of this kind of ...