Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
Noise and component failure is an increasingly difficult problem in modern electronic design. Bioinspired techniques is one approach that is applied in an effort to solve such is...
Morten Hartmann, Pauline C. Haddow, Per Kristian L...
This paper presents a novel algorithm for estimating complex human motion from 3D video. We base our algorithm on a model-based approach which uses a complete surface mesh of a 3D...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
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...