Abstract. This paper is concerned with optimal control problems of partial differential equations. In particular, parameterized convection-diffusion problems are considered, wher...
This paper considers linear precoding for time-varying multipleinput multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on ...
Jun Tong, Peter J. Schreier, Steven R. Weller, Lou...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
This paper describes an algorithm that achieves an approximately optimal assignment of forward error correction to progressive data within the unequal loss protection framework [1...
Alexander E. Mohr, Richard E. Ladner, Eve A. Riski...
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...