In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Abstract. We develop a method for automatic colorization of images (or two-dimensional fields) in order to visualize pixel values and their local differences. In many applications...
Arvind Visvanathan, Stephen E. Reichenbach, Qingpi...
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
A method for the classification of land cover in urban areas by the fusion of first and last pulse LIDAR data and multi-spectral images is presented. Apart from buildings, the cla...
Brian C. Lovell, Franz Rottensteiner, John Trinder...