Volume registration of articulated subjects such as the human knee region requires novel methods to accommodate the wide range of movement resulting from skeletal joint rotations....
Taehyun Rhee, John P. Lewis, Krishna Nayak, Ulrich...
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
This paper presents an approach to realize a tool for interactive and intuitive deformation of 3D shapes. The approach combines a fast algorithm for 3D free form deformation that ...
Masatake Sato, Vladimir V. Savchenko, Ryutarou Ohb...
We study cubature formulas on relatively small scattered samples in the unit square, obtained by integrating radial basis function (RBF) interpolants. Numerical tests show that, d...
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...