Subtractive Perceptrons for Learning Images: A Preliminary Report

@article{Tizhoosh2019SubtractivePF,
  title={Subtractive Perceptrons for Learning Images: A Preliminary Report},
  author={H. Tizhoosh and S. Kalra and S. Lifshitz and Morteza Babaie},
  journal={2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)},
  year={2019},
  pages={1-6}
}
  • H. Tizhoosh, S. Kalra, +1 author Morteza Babaie
  • Published 2019
  • Computer Science
  • 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)
In recent years, artificial neural networks have achieved tremendous success for many vision-based tasks. However, this success remains within the paradigm of weak AI where networks, among others, are specialized for just one given task. The path toward strong AI, or Artificial General Intelligence, remains rather obscure. One factor, however, is clear, namely that the feed-forward structure of current networks is not a realistic abstraction of the human brain. In this preliminary work, some… Expand

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