Contents
ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)
Welcome to ECE662!
- The reviews for HW2 have been activated. Please finish your review before class on Tuesday (April 29).
Course Information
Instructor:
- 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 by 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
- Bayes rule in practice by Lu Wang
- Link to slecture (use a descriptive title)
- Slectures on Neyman-Pearson test and ROC curves
- Slectures on Density Estimation
- Slectures on Linear Classifiers
Peer Reviews
- Instruction for peer reviewing HW1
- Instruction for peer reviewing HW2 (due before class on 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
