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12

ESANN
2007

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Ensemble neural classifier design for face recognition

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Ensemble neural classifier design for face recognition

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A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for generalisability. In this paper, the technique is applied to face recognition using Error-Correcting Output Coding strategy to solve multiclass problems.

Terry Windeatt

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Cross-validation Technique | Ensemble Classifier Framework | ESANN 2007 | MLP Learning Parameters | Neural Networks |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2007
Where	ESANN
Authors	Terry Windeatt

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