Ensemble neural classifier design for face recognition
نویسنده
چکیده
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.
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