Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
Explosive increase in enduser computing on distributed systems requires that endusers develop application software by themselves. One solution is given as a formula of "a dom...
Composability, the capability to select and assemble offthe-shelf model components in various combinations to satisfy user requirements, is an appealing approach in reducing the t...
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...