Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
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...
In the Magnetic Resonance Elastography experiment we consider a harmonically oscillating mechanical force applied to the boundary surface of a phantom and synchronized with the mo...
Joyce R. McLaughlin, Daniel Renzi, Jeong-Rock Yoon...
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Manual signs in American Sign Language (ASL) are constructed using three building blocks – handshape, motion, and place of articulations. Only when these three are successfully ...