<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Marc Berthod</style></author><author><style face="normal" font="default" size="100%">Josiane Zerubia</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">*IEEE Signal Pro *Society</style></author><author><style face="normal" font="default" size="100%">*Institute of Electri *Engineers</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Parallel image classification using multiscale Markov random fields</style></title><secondary-title><style face="normal" font="default" size="100%">ICASSP-93</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1993</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1993///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">New York</style></pub-location><pages><style face="normal" font="default" size="100%">137 - 140</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, we are interested in massively parallel multiscale relaxation algorithms applied to image classification. First, we present a classical multiscale model applied to supervised image classification. The model consists of a label pyramid and a whole observation field. The potential functions of the coarse grid are derived by simple computations. Then, we propose another scheme introducing a local interaction between two neighbor grids in the label pyramid. This is a way to incorporate cliques with far apart sites for a reasonable price. Finally we present the results on noisy synthetic data and on a SPOT image obtained by different relaxation methods using these models.</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 0027266514doi: 10.1109/ICASSP.1993.319766</style></notes></record></records></xml>