A neural bridge from syntactic to statistical pattern recognition

@article{Allen1999ANB,
  title={A neural bridge from syntactic to statistical pattern recognition},
  author={Frank T. Allen and Jason M. Kinser and H. John Caulfield},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1999},
  volume={12 3},
  pages={
          519-526
        }
}
A simple means of differentiating between syntactic and statistical pattern recognition is that, while both deal with feature sets, syntactic methods also include relationships among the features. In this paper we describe a pulse-coupled neural network (PCNN), which operates syntactically to produce icons that are ideal for statistical pattern recognition. 
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Image Target Recognition Using Pulse Coupled Neural Networks Time Matrix

  • 2007 Chinese Control Conference
  • 2006
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  • Image Vision Comput.
  • 2010
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Image feature extraction and recognition based on adaptive Unit-Linking Pulse Coupled Neural Networks

  • 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design
  • 2009
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