Greedy Learning of Multiple Objects in Images using Robust Statistics and Factorial Learning (2004)
We consider data that are images containing views of multiple objects. Our task is to learn about each of the objects present in the images. This task can be approached as a factorial learning...
A probabilistic RBF network for classification (2000)
Abstract We present a probabilistic neural network model which is suitable for classification problems.This model constitutes an adaptation of the classical RBF network where the outputs represent...