An Improved NN Training Scheme Using a Two-Stage LDA Features for Face Recognition
This paper presents a new approach based on a Two-Stage Linear Discriminant Analysis (Two-Stage LDA) and Conjugate Gradient Algorithms (CGAs) for face recognition. A Two-Stage LDA technique is proposed that utilises the null space of the sample covariance matrix as well as using the range space of the between-class scatter matrix to extract discriminant information. Classic Back Propagation (BP) is a widely used Neural Network (NN) training algorithm in many detectors and classifiers. However,...[Show more]
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|Source:||Proceedings of ICONIP 2012|
|01_Bozorgtabar_An_Improved_NN_Training_Scheme_2012.pdf||572.14 kB||Adobe PDF||Request a copy|
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