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Ensemble learning based image classification systems

  • US 10,482,374 B1
  • Filed: 07/03/2019
  • Issued: 11/19/2019
  • Est. Priority Date: 10/22/2018
  • Status: Active Grant
First Claim
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1. An ensemble learning based image classification system comprising:

  • a plurality of cellular neural networks (CNN) based integrated circuits (ICs) with one of the plurality of CNN based ICs configured as a meta learner of an ensemble for an image classification task while the remaining CNN based ICs operatively coupling together as a set of base learners, each base learner being configured with at least one of a plurality of distinct deep learning models;

    a controller configured for managing data and computation flow of the ensemble; and

    a memory based data buffer for holding input imagery data to be classified via the ensemble.

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