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1Philips Research Laboratory, B-1170 Brussels, Belgium.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Abstract:
Observations are made relative to the definition and generation of a consistent training sample set. We show that the consistency assumption is crucial to the method described in the above correspondence,1 and that, in general, the proposed solution to the generation problem, namely k-NN editing, fails to produce consistent sets.
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