Classifying Facial Expression with Radial Basis Function Netowrks , using Gradient Descent and K-means

This paper compares methods of training radial basis function networks. We found RBF networks initialized by supervised clustering perform better than networks initialized by unsupervised clustering and improved with gradient descent. Gradient descent did not significantly improve the networks initialized by supervised clustering.