Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
A method for automatic horizon tracking in reflection seismic data images across discontinuities is described. Horizon tracking is an important task of the structural interpretati...
An application framework is a collection of classes implementing the shared architecture of a family of applications. It is shown how the specialization interface ("hot spots...