2014 Spring ECE 662 Boutin - Rhea

<a _fcknotitle="true" href="ECE662">ECE662</a>: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)

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Course Information

Instructor:

• <a href="User:Mboutin">Professor Mimi Boutin</a>

Office: MSEE342

<a href="Open office hours mboutin">Office hours</a>

<a href="https://www.projectrhea.org/rhea/index.php/Special:DropBox?forUser=mboutin&assn=true">Assignment Drop Box</a>

Lecture:

• When? TuTh, 10:30 - 11:45
• Where? EE117 (subject to change)

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<a href="https://www.projectrhea.org/learning/slectures.php">Slectures</a>

Please use this <a href="Slecture template ECE662S14">template for text slectures</a> or this <a href="Slecture template video ECE662S14">template for video slectures</a>

• Slectures on Probability and Statistics
  • <a href="ECE662 Whitening and Coloring Transforms S14 MH">Whitening and Coloring Transforms</a>, by <a href="User:Mhossain">Maliha Hossain</a>
  • <a href="How to generate random n dimensional data from two categories with different priors slecture Minwoong Kim ECE662 Spring 2014">How to generate n-D Gaussian data in the two category case </a>, by Minwoong Kim (in Korean)
  • <a href="PCA">Principal Component Analysis (PCA)</a>, by <a href="http://web.ics.purdue.edu/~zhou338/">Tian Zhou</a>
• Slectures on Bayes Rule
  • <a href="From Bayes Theorem to Pattern Recognition via Bayes Rule">From Bayes' Theorem to Pattern Recognition via Bayes' Rule</a> by <a href="http://varunvasudevan.com/">Varun Vasudevan</a>
  • <a href="Upper Bounds for Bayes Error">Upper Bounds for Bayes Error</a> by G. M. Dilshan Godaliyadda
  • <a href="Test">Upper Bounds for Bayes Error (including the derivation of Chernoff Distance)</a> by Jeehyun Choe
  • <a href="Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014">Bayes Rule to minimize risk</a>, by Andy Park
  • <a href="Bayes Rule Minimize Risk Dennis Lee">Bayes Rule for Minimizing Risk</a> by Dennis Lee
  • Link to slecture (use a descriptive title)
• Slectures on Density Estimation
  • <a href="Mle tutorial">Tutorial on Maximum Likelihood Estimates</a> by Sudhir Kylasa
  • <a href="Introduction to local density estimation methods">Introduction to local (nonparametric) density estimation methods</a> by <a href="https://www.youtube.com/watch?v=WwPpsLjUsfQ">Yu Liu</a>
• Slectures on Linear Classifiers

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Peer Reviews

• <a href="Instructions peer review hw1">Instruction for peer reviewing HW1</a>
• Heads up: peer review of hw2 will be due April 29

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Discussion

Feel free to use the space below for discussion, or create a page for discussion and link it below.

• <a href="Data discussion HW1 ECE662 S14 Boutin">Where to find data for HW1</a>
• <a href="Yelp Dataset">Possible Real-world data to use for class</a>
• <a href="Programming help ECE662S14">Programming help!</a>
• New Discussion

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<a href="ECE662">Back to main ECE662 page</a>

<a _fcknotitle="true" href="Category:ECE662Spring2014Boutin">ECE662Spring2014Boutin</a> <a _fcknotitle="true" href="Category:ECE">ECE</a> <a _fcknotitle="true" href="Category:ECE662">ECE662</a> <a _fcknotitle="true" href="Category:Pattern_recognition">Pattern_recognition</a>