Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Virtually all structured light methods assume that the scene and the sources are immersed in pure air and that light is neither scattered nor absorbed. Recently, however, structur...
Srinivasa G. Narasimhan, Shree K. Nayar, Bo Sun, S...
Providing quality-of-service (QoS) guarantees over wireless packet networks requires thorough understanding and quantification of the interactions among the traffic source, the wi...
Mohamed F. Mansour, Abed Elhamid Lawabni, Ahmed H....
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...