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PCA_Theory_Examples
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[[Category:slecture]]
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[[Category:ECE662Spring2014Boutin]]
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[[Category:ECE]]
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[[Category:ECE662]]
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[[Category:pattern recognition]] 
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<center><font size= 4>
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ROC curve and Neyman Pearsom Criterion
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A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student
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Partly based on the [[2014_Spring_ECE_662_Boutin|ECE662 Spring 2014 lecture]] material of [[user:mboutin|Prof. Mireille Boutin]].
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</center>
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----
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Post your slecture material here. Guidelines:
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*If you are making a text slecture
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**Type text using wikitext markup languages
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**Type all equations using latex code between <nowiki> <math> </math> </nowiki> tags.
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**You may include links to other [https://www.projectrhea.org/learning/about_Rhea.php Project Rhea] pages.
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----
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==[[slecture_title_of_slecture_review|Questions and comments]]==
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If you have any questions, comments, etc. please post them on [[slecture_title_of_slecture_review|this page]].
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[[2014_Spring_ECE_662_Boutin|Back to ECE662, Spring 2014]]

Revision as of 09:55, 29 April 2014


ROC curve and Neyman Pearsom Criterion

A slecture by ECE student

Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.



Post your slecture material here. Guidelines:

  • If you are making a text slecture
    • Type text using wikitext markup languages
    • Type all equations using latex code between <math> </math> tags.
    • You may include links to other Project Rhea pages.





Questions and comments

If you have any questions, comments, etc. please post them on this page.


Back to ECE662, Spring 2014

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva