Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
This paper investigates the perceptual quality of decoded video bitstreams after packet losses. We focus on lowresolution and low-bit rate video coded by the H.264/AVC encoder, an...
Tao Liu, Yao Wang, Jill M. Boyce, Zhenyu Wu, Hua Y...
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...