Skip navigation
Skip navigation

An Improved NN Training Scheme Using a Two-Stage LDA Features for Face Recognition

Bozorgtabar, Behzad; Goecke, Roland

Description

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]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/22261
Source: Proceedings of ICONIP 2012
DOI: 10.1007/978-3-642-34500-5_78

Download

File Description SizeFormat Image
01_Bozorgtabar_An_Improved_NN_Training_Scheme_2012.pdf572.14 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator