In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
Paris Smaragdis, Madhusudana V. S. Shashanka, Bhik...
Multi-core processors based SMP servers have become building blocks for Linux clusters in recent years because they can deliver better performance for multi-threaded programs thro...
We present a new, simple algorithmic idea for exploiting the potential for bidirectional communication present in many modern interconnects for the collective MPI operations broadc...
Peter Sanders, Jochen Speck, Jesper Larsson Tr&aum...