Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
Li Zhang, Marco Gillies, John A. Barnden, Robert J...
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at var...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Despite the notable progress in physically-based rendering, there is still a long way to go before we can automatically generate predictable images of biological materials. In thi...