A New Neuro-Fuzzy Classifier with Application to On-Line Face Detection and Recognition

Abstract

In this paper, we propose a neuro-fuzzy classifier (NEFCAR) that utilizes positive and negative rules with different rule importances to create the decision boundaries between different classes. The locally unsupervised and globally supervised training technique is adopted. The decision-based and approximation-based strategies are combined to provide a… (More)
DOI: 10.1023/A:1026515819538

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Cite this paper

@article{Taur2000ANN, title={A New Neuro-Fuzzy Classifier with Application to On-Line Face Detection and Recognition}, author={Jin-Shiuh Taur and Chin-Wang Tao}, journal={VLSI Signal Processing}, year={2000}, volume={26}, pages={397-409} }