In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
Video transcoding is an efficient way for. rate adaptation and format conversion in various networked video applications. Many transcoder architectures have been proposed to achie...
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Silicon compilers are often used in conjunction with Field Programmable Gate Arrays (FPGAs) to deliver flexibility, fast prototyping, and accelerated time-to-market. Many of these...