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Candide's Practical Principles of Experimental Pattern Recognition

G Nagy1

  • 1Department of Computer Science, University of Nebraska, Lincoln, NE 68588.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed

Abstract:

This correspondence calls attention to several frequently used assumptions and techniques culled from the pattern recognition literature.

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