SVD and PCA in Image Processing
The Singular Value Decomposition is one of the most useful matrix factorizations in applied linear algebra, the Principal Component Analysis has been called one of the most valuable results of applied linear algebra. How and why principal component analysis is intimately related to the technique of...
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Digital Archive @ GSU
2007
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| Online Access: | http://digitalarchive.gsu.edu/math_theses/31 http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1030&context=math_theses |