Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
A new method is proposed for the blind subspace-based identification of the coefficients of time-varying (TV) single-input multiple-output (SIMO) FIR channels. The TV channel coef...
— In this paper, the problem of distributed neutralization of toxic 2D diffusion process is discussed. The diffusion process is modelled by a parabolic PDE system. A group of mob...
In this paper, we applied local warping techniques to construct a frame work of image-based morphing for facial expressions animation with low complexity. From the experience we o...
Blind source separation (BSS) has been successfully applied to many fields such as communications and biomedical engineering. Its application for image encryption, however, remain...