| Line 35: | Line 35: | ||
**[[Upper_Bounds_for_Bayes_Error|Upper Bounds for Bayes Error]] by G. M. Dilshan Godaliyadda | **[[Upper_Bounds_for_Bayes_Error|Upper Bounds for Bayes Error]] by G. M. Dilshan Godaliyadda | ||
**[[slecture_Bayes_rule_to_minimize_risk_Andy_Park_ECE662_Spring_2014|Bayes Rule to minimize risk]], by Andy Park | **[[slecture_Bayes_rule_to_minimize_risk_Andy_Park_ECE662_Spring_2014|Bayes Rule to minimize risk]], by Andy Park | ||
| + | **[[Bayes_Rule_Minimize_Risk_Dennis_Lee|Bayes Rule for Minimizing Risk]] by Dennis Lee | ||
**Link to slecture (use a descriptive title) | **Link to slecture (use a descriptive title) | ||
*Slectures on Density Estimation | *Slectures on Density Estimation | ||
Revision as of 11:25, 13 April 2014
Contents
ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)
Welcome to ECE662!
- When you see the peer review of your work in your dropbox, do not click "mark as read". If you do, then the review will disappear.
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
- 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
- Bayes Rule to minimize risk, by Andy Park
- Bayes Rule for Minimizing Risk by Dennis Lee
- Link to slecture (use a descriptive title)
- Slectures on Density Estimation
- Tutorial on Maximum Likelihood Estimates by Sudhir Kylasa
- 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
