Abstract—rSesame is a generic modeling and simulation framework which can explore and evaluate reconfigurable systems at the early design stages. The framework can be used to ex...
Kamana Sigdel, Mark Thompson, Carlo Galuzzi, Andy ...
Recently there has been interest in the use of classifiers based on the product of experts (PoE) framework. PoEs offer an alternative to the standard mixture of experts (MoE) fram...
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...