Noise confounds present serious complications to accurate data analysis in functional magnetic resonance imaging (fMRI). Simply relying on contextual image information often resul...
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
This paper presents Olympus, a modular processing architecture for a distributed ambient intelligence. The system is aimed at detailed reporting of people wandering and gesturing ...
F. Bertamini, Roberto Brunelli, Oswald Lanz, A. Ro...
This paper describes algorithms for the animation of men and women performing three dynamic athletic behaviors: running, bicycling, and vaulting. We animate these behaviors using ...
Jessica K. Hodgins, Wayne L. Wooten, David C. Brog...