We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
Type systems currently available for imperative languages are too weak to detect a significant class of programming errors. For example, they cannot express the property that a l...
: In scalable parallel machines, processors can make local memory accesses much faster than they can make remote memory accesses. In addition, when a number of remote accesses must...
Nowadays both industry and academic environments are showing a lot of interest in the Software Engineering discipline. Therefore, it is a challenge for universities to provide stu...