Partitioned Feature-based Classifier model with Expertise Table

  • Dong-Chul Park
  • Published 2010 in
    2010 IEEE Fifth International Conference on Bio…

Abstract

An advanced form of the Partitioned Feature-based Classifier (PFC) is proposed in this paper. As is the case with the PFC, the proposed classifier model, called Partitioned Feature-based Classifier with Expertise Table (PFC-ET), does not use the entire feature vectors extracted from the original data in a concatenated form to classify each datum, but rather… (More)
DOI: 10.1109/BICTA.2010.5645217

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Cite this paper

@article{Park2010PartitionedFC, title={Partitioned Feature-based Classifier model with Expertise Table}, author={Dong-Chul Park}, journal={2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)}, year={2010}, pages={737-742} }