3-D contextual Bayesian classifiers.
We extend a series of multivariate Bayesian two-dimensional (2-D) contextual classifiers to three-dimensional (3-D) by specifying a simultaneous Gaussian distribution for the feature vectors as well as a prior distribution of the class variables of a pixel and its six nearest 3-D neighbors.
Larsen
R
R
Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark. rl@imm.dtu.dk