2014 Spring ECE 662 Boutin - Rhea

ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)

Course Information

Instructor:

• Professor Mimi Boutin

Office: MSEE342

Office hours

Assignment Drop Box

Lecture:

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

Slectures

Please use this template for text slectures or this template for video slectures

• Slectures on Probability and Statistics
  • Whitening and Coloring Transforms, by Maliha Hossain
  • How to generate n-D Gaussian data in the two category case , by Minwoong Kim (in Korean)
  • Principal Component Analysis (PCA), by Tian Zhou
  • Curse of Dimensionality, by Haonan Yu
• Slectures on Bayes Rule
  • From Bayes' Theorem to Pattern Recognition via Bayes' Rule by Varun Vasudevan
  • Upper Bounds for Bayes Error by G. M. Dilshan Godaliyadda
  • Upper Bounds for Bayes Error bu Yihan Ding www.projectrhea.org/rhea/index.php/Upper_Bound_for_Bayes_error 
  • Upper Bounds for Bayes Error (including the derivation of Chernoff Distance) by Jeehyun Choe
  • Bayes Rule to minimize risk, by Andy Park
  • Bayes Rule for Minimizing Risk by Dennis Lee
  • Derivation of Bayes' Rule from Bayes' Theorem by Nadra Guizani
  • Link to slecture (use a descriptive title)
• Slectures on Density Estimation
  • Tutorial on Maximum Likelihood Estimates by Sudhir Kylasa
  • Introduction to local (nonparametric) density estimation methods by Yu Liu
• Slectures on Linear Classifiers

Peer Reviews

• Instruction for peer reviewing HW1
• Heads up: peer review of hw2 will be due April 29

Discussion

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

• Where to find data for HW1
• Possible Real-world data to use for class
• Programming help!
• New Discussion

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