Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model

Ed Vul, Michael Frank, George A. Alvarez, Joshua B. Tenenbaum. Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. In Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta, editors, Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. pages 1955-1963, Curran Associates, Inc., 2009. [doi]

Abstract

Abstract is missing.