Featureless Pattern Recognition in an Imaginary Hilbert Space

@inproceedings{Mottl2002FeaturelessPR,
  title={Featureless Pattern Recognition in an Imaginary Hilbert Space},
  author={Vadim Mottl and Oleg Sergeevich Seredin and Sergey Dvoenko and Casimir A. Kulikowski and Ilya B. Muchnik},
  booktitle={ICPR},
  year={2002}
}
The featureless pattern recognition methodology based on measuring some numerical characteristics of similarity between pairs of entities is applied to the problem of protein fold classification. In computational biology, a commonly adopted way of measuring the likelihood that two proteins have the same evolutionary origin is calculating the so-called alignment score between two amino acid sequences that shows properties of inner product rather than those of a similarity measure. Therefore, in… CONTINUE READING

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