This study provides a framework for researchers who study human-computer interaction to develop and evaluate user-centric user-interfaces by applying existing theories about telep...
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
Computer visualization and networking have advanced dramatically over the last few years, partially driven by the exploding video game market. 3D hardware acceleration has reached...
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...