Adaptive momentum Levenberg-Marquardt RBF for face recognition

Sue Inn Ch'ng; Kah Phooi Seng; Li-Minn Ang

doi:10.1109/ICCircuitsAndSystems.2012.6408325

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Adaptive momentum Levenberg-Marquardt RBF for face recognition

Conference paper

Peer reviewed

Adaptive momentum Levenberg-Marquardt RBF for face recognition

Sue Inn Ch'ng, Kah Phooi Seng and Li-Minn Ang

2012 IEEE International Conference on Circuits and Systems: ""Advanced Circuits and Systems for Sustainability"", ICCAS 2012, pp.126-131

IEEE International Conference on Circuits and Systems (ICCAS), 2012 (Kuala Lumpur, Malaysia, 03-Oct-2012–04-Oct-2012)

Institute of Electrical and Electronics Engineers

2012

DOI: https://doi.org/10.1109/ICCircuitsAndSystems.2012.6408325

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Abstract

adaptive momentum

improved Levenberg-Marquardt algorithm

RBF neural networks

face recognition

This paper investigates the application of Levenberg-Marquardt (LM) based radial basis function (RBF) neural networks for face recognition. The contribution of this paper is two-fold. First, we propose the use of Levenberg-Marquardt (LM) and adaptive momentum LM algorithm to update the weights and network parameters (centers and width). The purpose of the proposal of the latter algorithm is to further increase the learning efficiency of the RBF neural network. The second contribution of the paper is the adaptation of the high computational complexity LM-based RBF neural networks to the complex problem of face recognition. To reduce the computations required, dimension reduction was applied prior to the training of the networks. In addition to that, we have also proposed the use of prior knowledge to guess the initial values of the weights during initialization as oppose to random weights. The proposed methods were tested on the Yale database and were found to yield positive results that can further improve the learning efficiency of the networks for the application of face recognition.

Details

Title: Adaptive momentum Levenberg-Marquardt RBF for face recognition
Authors: Sue Inn Ch'ng (Author) - National Yang Ming Chiao Tung University
Kah Phooi Seng (Author) - National Yang Ming Chiao Tung University
Li-Minn Ang (Author)
Publication details: 2012 IEEE International Conference on Circuits and Systems: ""Advanced Circuits and Systems for Sustainability"", ICCAS 2012, pp.126-131
Conference details: IEEE International Conference on Circuits and Systems (ICCAS), 2012 (Kuala Lumpur, Malaysia, 03-Oct-2012–04-Oct-2012)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2012
DOI: 10.1109/ICCircuitsAndSystems.2012.6408325; 10.1109/ICCAS20187.2012
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513795602621
Output Type: Conference paper

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