This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
: A new program called pyVib has been developed as a tool for the analysis of Gaussian (Gaussian 03, Gaussian Inc., Pittsburgh, PA) outputs of vibrational absorption (IR), Raman as...
The most suitable method for the automated classification of protein structures remains an open problem in computational biology. In order to classify a protein structure with an...
In modern computer graphics, 3D scanning is common practise for the acquisition of the geometry of objects. However, in addition to geometric models, physical models of interactio...