Neural Network for Principal Component Analysis with Applications in Image Compression

Neural Network for Principal Component Analysis with Applications in Image Compression

Classical feature extraction and data projection methods have been extensively investigated in the pattern recognition and exploratory data analysis literature. Feature extraction and multivariate data projection allow avoiding the "curse of dimensionality", improve the generalization abil...

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Bibliographic Details
Main Authors: Luminita State, Catalina Lucia Cocianu, Vlamos Panayiotis
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2007-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Image Processing
pattern recognition
data compression/decompression
Karhunen-Loeve transform
PCA
RLS algorithm
feature extraction
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/P291440.pdf

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