Singular Value Decomposition

Lecture 1: Ch. 15.1

 

Stacks Image 2828

 

[ view ]

 
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: Ch. 15.2

 

Stacks Image 2811

 

[ view ]

 
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: Ch. 15.3

 

Stacks Image 2792

 

[ view ]

 
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

 

© 2015 kutz