We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
In this paper we propose the use of small global memory for a viewer’s immediate surroundings to assist in recognising places that have been visited previously. We call this glob...
Software architectures have played a significant role in determining the success of software systems. In spite of impact of the architectures to the software development and, as a...
We describe a unified framework for the understanding of structure representation in primate vision. A model derived from this framework is shown to be effectively systematic in t...
Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
David Wingate, Vishal Soni, Britton Wolfe, Satinde...