Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
We present a pair of reasoning principles, definition and proof by rigid induction, which can be seen as proper generalizations of lazy-datatype induction to monadic effects other...
Abstract - This paper describes an efficient graphbased method to optimize data-flow expressions for best hardware implementation. The method is based on factorization, common su...
Daniel Gomez-Prado, Q. Ren, Maciej J. Ciesielski, ...
Abstract. Stereo and motion analysis are potential techniques for providing information for control or assistance systems in various robotics or driver assistance applications. Thi...
Sandino Morales, Young Woon Woo, Reinhard Klette, ...