Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM)

@article{Zhang1999HandwrittenDR,
  title={Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM)},
  author={Bailing Zhang and Minyue Fu and Hong Yan and Marwan A. Jabri},
  journal={IEEE transactions on neural networks},
  year={1999},
  volume={10 4},
  pages={
          939-45
        }
}
The adaptive-subspace self-organizing map (ASSOM) proposed by Kohonen is a recent development in self-organizing map (SOM) computation. In this paper, we propose a method to realize ASSOM using a neural learning algorithm in nonlinear autoencoder networks. Our method has the advantage of numerical stability. We have applied our ASSOM model to build a modular classification system for handwritten digit recognition. Ten ASSOM modules are used to capture different features in the ten classes of… CONTINUE READING

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