Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
We propose a new storage model called MBSM (Multiresolution Block Storage Model) for laying out tables on disks. MBSM is intended to speed up operations such as scans that are typ...
Three-dimensional modeling from images, when carried out entirely by a human, can be time consuming and impractical for large-scale projects. On the other hand, full automation ma...
Sabry F. El-Hakim, J.-Angelo Beraldin, Jean-Fran&c...