This paper analyzes the requirements and presents a novel approach to the development of a system for epidemiological data collection and integration based on the principles of int...
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
This paper proposes a novel View-based Consistency model for Distributed Shared Memory. A view is a set of ordinary data objects that a processor has the right to access in a data...
Zhiyi Huang, Stephen Cranefield, Martin K. Purvis,...
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
This paper presents an integrated modeling framework where the learning and knowledge retrieval mechanisms of the ACT-R cognitive architecture are combined with a semantic resource...