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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