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29 July 1994 Adaptive learning concepts and methodology for enhanced recognition system performance
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Abstract
This study presents innovative adaptive learning concepts and resulting methodology designed for enhancing the performance of recognition systems such as automatic target recognition (ATR) systems wherein robustness of performance is a significant issue. The basic underlying concept is that of learning in partially exposed environments, wherein the system is not necessarily aware of all the pattern classes that may be encountered in the operational phase. The methodology is based on such learning as required by nearest neighbor based decision systems. The paper discusses several stages of sophistication of the system design and illustrates these with two sets of numerical experiments (using the now classical iris data as well as some real-world TV image data) to bring out the subtleties of the issues involved.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Belur V. Dasarathy "Adaptive learning concepts and methodology for enhanced recognition system performance", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); https://doi.org/10.1117/12.181034
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