Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
In this paper the problem of off-line handwritten cursive text recognition is considered. A method for expanding the set of available training textlines by applying random perturb...
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Non-uniform temperature profiles along global interconnect lines in high-performance ICs can significantly impact the performance of these lines. This paper presents a detailed an...
Amir H. Ajami, Kaustav Banerjee, Massoud Pedram, L...
Resource Description Framework (RDF) is a general description technology that can be applied to many application domains. Redland is a software library for RDF which implements a ...