Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
In this paper we present an application of the propositional SATisfiability environment to computing some simple orthogonal matrices and some interesting tasks in the area of cry...
Abstract. We consider an approach to service selection wherein service consumers choose services with desired nonfunctional properties to maximize their utility. A consumer’s uti...
Abstract— Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding fast...
Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, ...