The subspace learning algorithm as a formalism for pattern recognition and neural networks

@article{Oja1988TheSL,
  title={The subspace learning algorithm as a formalism for pattern recognition and neural networks},
  author={Erkki Oja and Teuvo Kohonen},
  journal={IEEE 1988 International Conference on Neural Networks},
  year={1988},
  pages={277-284 vol.1}
}
Vector subspaces have been suggested for representations of structured information. In the theory of associative memory and associative information processing, the projection principle and subspaces are used in explaining the optimality of associative mappings and novelty filters. These formalisms seem to be very pertinent to neural networks, too. Based on… CONTINUE READING