For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
In this paper we introduce a framework for instrumenting (“rigging”) characters that are modeled as dynamic elastic bodies, so that their shapes can be controlled by an animat...
Steve Capell, Matthew Burkhart, Brian Curless, Tom...
Wireless backhaul communication is expected to play a significant role in providing the necessary backhaul resources for future high-rate wireless networks. Mesh networking, in whi...