View source for Lab 5 Additional Information ECE637 Spring2013 Bouman - Rhea

==<font size= 6>Discussion for Lab 5</font size>==
==Additional Information ==
Before jumping into the lab, I would get familiar with basic concepts in Bayes Methods
* http://en.wikipedia.org/wiki/Bayesian_inference
* http://en.wikipedia.org/wiki/Eigen_decomposition
* http://en.wikipedia.org/wiki/Principle_components_analysis

Some concepts on what you are actually doing in lab
* http://en.wikipedia.org/wiki/Supervised_learning
* http://en.wikipedia.org/wiki/Training_set

For data acceleration, consider reading advance software development in the below link
* http://www.mathworks.com/help/matlab/index.html;jsessionid=4eab5513f8c24c803384a13895ef

==Q&amp;A Section==
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<!-- Question format: ;'''Q - QUESTION HERE'''
:A - ANSWER HERE  -->
;'''Q: How do you calculate the theoretical R for section 2.2?  I've calculated the Rhat 2x2 matrix, however I'm not sure how to calculate the theoretical one.
:A - The theoretical values are the known values of the covariance you used to generate the samples in Section 2.1. 
More specifically, they are the values of Rx given in equation (14) of section 2.1.
;'''Q: I don't understand what is have to be produced in section 4 for the projection coefficients. It is an image or a regular plot? The paragraph describing that procedure is not too clear for me.
;'''Q: Do the answers to Section 4 have to match with those provided in the pdf file Examples posted under course notes. Is the training data the same? For me, out of the 12 eigen images 9-10 match but a couple don't. Also, the projection coefficient variation is somewhat different.

;'''Q: Section 4 asks for the plots for the 12 largest eigenvalues.  How can these be determined once the SVD is calculated from Z?
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