Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
We study the performance of high-speed interconnects using a set of communication micro-benchmarks. The goal is to identify certain limiting factors and bottlenecks with these int...
Rod Fatoohi, Ken Kardys, Sumy Koshy, Soundarya Siv...
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Background: The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasi...
Liqun Xi, Yvonne Fondufe-Mittendorf, Lei Xia, Jare...
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...