Most of the methods for human motion tracking are based on the modeling of human dynamics in action execution. In even small example space of human activities, the variation in ac...
In Artificial Intelligence, a crucial requirement is the ability to reason about actions and their effects on the environment. Traditional approaches which rely on classical logic...
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
—This paper explores the use of dynamic compilation for continuing execution even if one or more of the memory banks used by an application become temporarily unavailable (but th...
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...