Abstract. We propose a new method for removing topological defects in surfaces and volumes segmented from medical images. Unlike current topology correction approaches, we define a...
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...