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Two strategies for fusing information from multiple sources when generating predictive models in the domain of pesticide classification are investigated: i) fusing different sets of features (molecular descriptors) before building a model and ii) fusing the classifiers built from the individual descriptor sets. An empirical investigation demonstrates that the choice of strategy can have a significant...
This paper deals with a cooperative fusion system parameter adjustment based on an evaluation quality of the fusion system output. The concerned application is an electro- technical part quality evaluation in which geophysicists need time and experience to analyze the 3D tomography of the parts. To help them in their task, a fusion system was designed to aggregate some measurements extracted from...
This paper proposes an automated learning method (ALM) based on real-coded genetic algorithm (RCGA) to infer the multi-criteria classifiers (MCC) parameters. The multi-criteria classifiers (or multi-criteria classification methods) considered are based on concordance and discordance concepts. A military database of 2545 forward looking infra-red (FLIR) images representing eight different classes of...
In this paper, several classification methods are presented and a fusion structure is included to improve the final classification performance. The definition of "layer" and the method to create it are then introduced. Based on "layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy,...
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