Abstract: The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward ...

Abstract: Gaussian process (GP) models are powerful tools for Bayesian classification, but their limitation is the high computational cost. Existing approximation methods to reduce the cost of GP ...