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Global k-NN Classifier for Small Sample Size Problems

af Nan Zhang
Global k-NN Classifier for Small Sample Size Problemsaf Nan Zhang
Bag om Global k-NN Classifier for Small Sample Size Problems

What is Small Sample Size Problem? The methods need training samples to learn the information of the data. Some kind of data is high-dimensional, but no enough samples can be collected. When the number of training samples is much smaller than the dimension of data, we called this Small Sample Size Problem. In the face recognition field, small sample size problems generally exist.Let's talk about how to solve this problem better.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786202319003
  • Indbinding:
  • Paperback
  • Sideantal:
  • 52
  • Udgivet:
  • 23. oktober 2018
  • Størrelse:
  • 150x4x220 mm.
  • Vægt:
  • 96 g.
  • 1-2 uger.
  • 15. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
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What is Small Sample Size Problem? The methods need training samples to learn the information of the data. Some kind of data is high-dimensional, but no enough samples can be collected. When the number of training samples is much smaller than the dimension of data, we called this Small Sample Size Problem. In the face recognition field, small sample size problems generally exist.Let's talk about how to solve this problem better.

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