Abstract-- This paper provides a comprehensive and quantitative review of spatial transformations models for nonrigid image registration. It explains the theoretical foundation of ...
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
Behavioral models of digital devices based on Radial Basis Functions (RBF) are incorporated into a Finite-Difference Time-Domain (FDTD) solver for full-wave analysis of interconne...
Stefano Grivet-Talocia, Igor S. Stievano, Ivan A. ...
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....