The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Abstract. An orthogonal forward selection (OFS) algorithm based on the leaveone-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tu...
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
We describe the use of compact support radial basis functions (CSRBFs) for simulation of soft tissue deformation. CSRBFs allow surface and volumetric deformations to be computed i...
Mark P. Wachowiak, Xiaogang Wang, Aaron Fenster, T...
The faster growth curves in the speed of GPUs relative to CPUs in the past decade and its rapidly gained popularity have spawned a new area of development in computational technol...