: The increasing number of digitized texts presently available notably on the Web has developed an acute need in text mining techniques. Clustering systems are used more and more o...
Abdelmalek Amine, Zakaria Elberrichi, Michel Simon...
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
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. ...
The procedure of drug approval is time-consuming, costly and risky. Accidental findings regarding multispecificity of approved drugs led to block-busters in new indication areas. ...
Joachim von Eichborn, Manuela S. Murgueitio, Mathi...