We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
Nowadays, applications of virtual reality (VR) and computer games use human characters models with ever-increasing sophistication. Additional challenges are posed by applications,...
Roberto C. Cavalcante Vieira, Creto Augusto Vidal,...
In this paper, we explore the concept of using analytical models to efficiently generate delay change curves (DCCs) that can then be used to characterize the impact of noise on an...
Kanak Agarwal, Yu Cao, Takashi Sato, Dennis Sylves...
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
-- In this paper it is explored whether personalisation of an existing computational model of attention can increase the model's validity. Computational models of attention ar...