Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
—Considering process variability at the behavior synthesis level is necessary, because it makes some instances of function units slower and others faster, resulting in unbalanced...
— We propose a joint power- and rate-control scheme to broadcast a multiplicity of video sequences over a broadcast channel. The formulation is intended to be general in scope, w...
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...