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CFAR fusion: A replacement for the generalized likelihood ratio test for Neyman-Pearson problems.

Alan P. Schaum
Published in: AIPR (2011)
Keyphrases
  • generalized likelihood ratio test
  • neyman pearson
  • data sets
  • neural network
  • multi class
  • high dimensionality