Diffusion tensor imaging (DTI) and a longitudinal language learning approach were applied to investigate the relationship between the achieved second language (L2) proficiency du...
Huadong Xiang, Tessa Marije van Leeuwen, Dan Dediu...
Our ability to effectively adapt to novel circumstances—as measured by general fluid intelligence—has recently been tied to the global connectivity of lateral prefrontal cort...
Abstract. Thanks to advances in non-invasive technologies such as functional Magnetic Resonance Imaging (fMRI) and Diffusion Tensor Imaging (DTI), highly-detailed maps of brain st...
Giorgio Conte, Allen Q. Ye, Angus Forbes, Olusola ...
Hierarchical task decomposition strategies allow robots and agents in general to address complex decision-making tasks. Layered learning is a hierarchical machine learning paradigm...
David L. Leottau, Javier Ruiz-del-Solar, Patrick M...
Abstract. Since the first demonstration of the Virtual Robot Competition, USARSim has been used as the simulation interface and environment. The underlying simulation platform, Un...
This paper proposes a simple and fast method for adapting colour lookup tables to lighting changes in real-time. The method adjusts the classified colour space regions keeping bot...
Trent Houliston, Mitchell Metcalfe, Stephan K. Cha...
This paper presents a vision system which is designed to be used by the research community in the Standard Platform League1 (SPL) and potentially in the Humanoid League2 (HL) of th...
Ingmar Schwarz, Matthias Hofmann, Oliver Urbann, S...
Abstract. In the RoboCup Logistics League (RCLL), games are governed by a semi-autonomous referee box. It also records tremendous amounts of data about state changes of the game or...
Tim Niemueller, Sebastian Reuter, Alexander Ferrei...