One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Mapping composition is a fundamental operation in metadata driven applications. Given a mapping over schemas 1 and 2 and a mapping over schemas 2 and 3, the composition problem is...
Philip A. Bernstein, Todd J. Green, Sergey Melnik,...
In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photo...
Upon completion of the human and mouse genome sequences, world-wide sequencing capacity will turn to other complex organisms. Current strategies call for many of these genomes to ...