We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Modern multiprocessor embedded systems execute a large number of tasks on shared processors and handle their complex communications on shared communication networks. Traditional m...
Lothar Thiele, Iuliana Bacivarov, Wolfgang Haid, K...
—In this paper we propose the progressive clamping method to better model the kinematic anisotropy of joint limits for virtual mannequins or robots. Like recent approaches our me...
In this paper we generalize the contraction method, originally proposed by Elgot and Rabin and later extended by Carton and Thomas, from labeled linear orderings to colored determ...
— This paper examines the achievable performance gains when a particular class of cooperative relaying known as best-select is employed. In essence, best-select seeks to improve ...