We present a novel application where, using only three points from the shadow trajectory of an object, one can accurately determine the geo-location of the camera, up to a longitu...
Shape warping is a key problem in statistical shape analysis. This paper proposes a framework for geometric shape warping based on both shape distances and landmarks. Our method i...
Olivier D. Faugeras, Pierre Maurel, Renaud Keriven
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual de...
Yinpeng Jin, Celina Imielinska, Andrew Laine, Jaya...
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...