Ensemble neural classifier design for face recognition

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.

• Type: Conference
• Year: 2007
• Where: ESANN
• Authors: Terry Windeatt
• Keywords: Cross-validation Technique, Ensemble Classifier Framework, ESANN 2007, MLP Learning Parameters, Neural Networks