The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Basis Pursuit (BP) finds a minimum ℓ1-norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracte...
A novel error concealment method is proposed for two-view based stereoscopic video coding to address the challenging problem of adaptively combining inter-view correlation and tem...
In this paper, we propose a fast reverse motion estimation algorithm with efficient mode decision for reverse transcoding of H.264 bitstream. By analyzing the motion vectors and m...