Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
— In this paper, we present a novel framework for the automated generation of Network-on-Chips (NoC) architectures, that enables architecture exploration and optimization. The au...
We report on a model of the distribution of job submission interarrival times in supercomputers. Interarrival times are modeled as a consequence of a complicated set of decisions ...
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...