Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
Abstract—Spatial multiplexing in the multi-user MIMO (MUMIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and ...
Melvin C. H. Lim, Mounir Ghogho, Desmond C. McLern...
Abstract - This paper presents a method for wheel-ground contact angle measurement and a traction control strategy minimizing slip in rough terrain. The slip minimization algorithm...