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**[[From_Bayes_Theorem_to_Pattern_Recognition_via_Bayes_Rule|From Bayes' Theorem to Pattern Recognition via Bayes' Rule]] by [http://varunvasudevan.com/ Varun Vasudevan] | **[[From_Bayes_Theorem_to_Pattern_Recognition_via_Bayes_Rule|From Bayes' Theorem to Pattern Recognition via Bayes' Rule]] by [http://varunvasudevan.com/ Varun Vasudevan] | ||
**[[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 | ||
**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 05:54, 9 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
- 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
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
