We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
We present an efficient implementation of motion estimation (ME) for H.264/AVC using programmable graphics hardware. The cost function for ME in H.264/AVC depends on the motion v...
Chi-Wang Ho, Oscar C. Au, S.-H. Gary Chan, Shu-Kei...
Value Prediction is a relatively new technique to increase instruction-level parallelism by breaking true data dependence chains. A value prediction architecture produces values, ...
Abstract. The AGRE model proposed by Ferber et al. is based on an interesting generalization of both physical and social environments. In this paper we revisit the AGRE model and e...
Abstract. Various variants of Schwarz methods for a singularly perturbed two dimensional stationary convection-diffusion problem are constructed and analysed. The iteration counts,...
H. MacMullen, Eugene O'Riordan, Grigorii I. Shishk...