In applications that produce a large amount of data describing the paths of moving objects, there is a need to ask questions about the interaction of objects over a long recorded ...
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
This paper presents Kato, a tool that implements a novel class of optimizations that are inspired by program slicing for imperative languages but are applicable to analyzable decl...
The Ambric Massively Parallel Processor Array (MPPA) is a device that contains 336 32-bit RISC processors and is appropriate for embedded systems due to its relatively small physi...
Brad L. Hutchings, Brent E. Nelson, Stephen West, ...
Abstract— This paper provides a novel solution for robocentric mapping using an autonomous mobile robot. The robot dynamic model is the standard unicycle model and the robot is a...