Abstract
A committee classification technique based upon a form of seniority decision logic, and which implements piecewise linear decision surfaces, is proposed and a viable training algorithm is presented. The method determines automatically the number of committee members required and is not dependent upon user specified parameters. Examples are given to illustrate the effectiveness of the method using both model data and satellite remote sensing image data.
Published Version
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