Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
Background: Identification of protein interacting sites is an important task in computational molecular biology. As more and more protein sequences are deposited without available...
We present a novel multi-view stereo method designed
for image-based rendering that generates piecewise planar
depth maps from an unordered collection of photographs.
First a di...
Sudipta N. Sinha, Drew Steedly and Richard Szelisk...
We present a methodology for the modeling of complex program behavior in CLP. In the first part we present an informal description about how to represent a system in CLP. At its ...