Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
The choice of an interconnection network for a parallel computer depends on a large number of performance factors which are very often application dependent. We propose a performa...
Ahmad Chadi Aljundi, Jean-Luc Dekeyser, M. Tahar K...
This paper proposes a framework for generating sizing function in meshing assemblies. Size control is crucial in obtaining a high-quality mesh with a reduced number of elements, w...
William Roshan Quadros, Ved Vyas, Michael L. Brewe...
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...