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Document Type:Latin Dissertation
Language of Document:English
Record Number:52557
Doc. No:TL22511
Call number:‭MR59396‬
Main Entry:Mohammad Shahin Mahanta
Title & Author:Linear feature extraction with emphasis on face recognitionMohammad Shahin Mahanta
College:University of Toronto (Canada)
Date:2009
Degree:M.A.Sc.
student score:2009
Page No:165
Abstract:Feature extraction is an important step in the classification of high-dimensional data such as face images. Furthermore, linear feature extractors are more prevalent due to computational efficiency and preservation of the Gaussianity. This research proposes a simple and fast linear feature extractor approximating the sufficient statistic for Gaussian distributions. This method preserves the discriminatory information in both first and second moments of the data and yields the linear discriminant analysis as a special case. Additionally, an accurate upper bound on the error probability of a plug-in classifier can be used to approximate the number of features minimizing the error probability. Therefore, tighter error bounds are derived in this work based on the Bayes error or the classification error on the trained distributions. These bounds can also be used for performance guarantee and to determine the required number of training samples to guarantee approaching the Bayes classifier performance.
Subject:Applied sciences; Electrical engineering; 0544:Electrical engineering
Added Entry:University of Toronto (Canada)