Abstract. We establish results for the problem of tracking a time-dependent manifold arising in realtime optimization by casting this as a parametric generalized equation. We demon...
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
An important research area in computer vision is developing
algorithms that can reconstruct the 3D surface of an object
represented by a single 2D line drawing. Previous work
on...
Yingze Wang (The Chinese University of Hong Kong),...
Texture segmentation is an effortless process in scene analysis, yet its mechanisms have not been sufficiently understood. A common assumption in most current approaches is that t...