Lecture 1
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THE SINGULAR VALUE DECOMPOSITION (SVD): Perhaps the most important concept in this course, an introduction to the SVD is given and its mathematical foundations.
MATLAB COMMANDS
SVD
Lecture 2
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PRINCIPAL COMPONENT ANALYSIS (PCA): The SVD algorithm is used to produce the dominant correlated mode structures in a data matrix.
MATLAB COMMANDS
PCA VAR COV
Lecture 3
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PCA FOR FACE RECOGNITION: We demonstrate the power of the SVD/PCA framework on the computer vision problem of face recognition.
MATLAB COMMANDS
RESHAPE IMRESIZE FLIPUD IMSHOW RGB2GRAY
MATLAB CODE