Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Traditionally, software pipelining is applied either to the innermost loop of a given loop nest or from the innermost loop to the outer loops. In a companion paper, we proposed a ...
Hongbo Rong, Alban Douillet, Ramaswamy Govindaraja...
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
— Third Generation (3G) Mobile Communication systems will provide enhanced high-speed data, multimedia, and voice services to mobile users. Beam forming techniques have been prop...