A comparative study of reduction methods applied on a convolutional neural network

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• who: Aurélie Cools et al. from the Faculty of Engineering, University of Mons, Mons, Belgium have published the research work: A Comparative Study of Reduction Methods Applied on a Convolutional Neural Network, in the Journal: Electronics 2022, 1422 of 28/04/2022
• what: The authors propose an approach that allows the problem of the "curse of dimensionality" to be solved thanks to an efficient combination of convolutional neural networks and dimensionality reduction methods. With the combined approach the authors propose providing reduced descriptors that will accelerate the research time and reduce the storage space . . .
  

   

  

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