Multi-classifier system for robust pattern recognition
Despite the success of many pattern recognition problems in a constrained domain, the task of pattern recognition is "ill-defined" and difficult due to the noise and large variations in input data. A promising approach is to use several classifiers simultaneously, such that they can comple...
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Format: | Thesis |
Language: | English |
Published: |
2008
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Online Access: | http://hdl.handle.net/10356/13584 |