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Title A Semi-Supervised Learning Algorithm for Growing Neural Gas in Face Recognition
Edition Volume 7, Number 4
Call Number
ISBN/ISSN 1570-1166
Author(s) Zaki,Shireen M.
Hujun Yin
Subject(s)
Classification
Series Title Journal of Mathematical Modelling and Algorithms
GMD Electronic Journal
Language English
Publisher Springer Netherlands
Publishing Year 2008
Publishing Place Netherlands
Collation 11p
Abstract/Notes In many classification applications and face recognition tasks, there exist
unlabelled data available for training along with labelled samples. The use of
unlabelled data can improve the performance of a classifier. In this paper, a semisupervised
growing neural gas is proposed for learning with such partly labelled
datasets in face recognition applications. The classifier is first trained on the labelled
data and then gradually unlabelled data is classified and added to the training data.
The classifier is retrained; and so on. The proposed iterative algorithm conforms to
the EMframework and is demonstrated, on both artificial and real datasets, to significantly
boost the classification rate with the use of unlabelled data. The improvement
is particularly great when the labelled dataset is small. Comparison with support
vector machine classifiers is also given. The algorithm is computationally efficient
and easy to implement.
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