This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
The author proposed three studies (i.e. a large-N survey, a behavioral experiment, and a functional magnetic resonance imaging research) to investigate whether people read icons a...
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
—The approach presented in this paper tackles the active research problem of the fast automatic modeling of large-scale environments from videos with millions of frames and colle...
Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebn...
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...