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== '''Welcome to ECE662!''' == | == '''Welcome to ECE662!''' == | ||
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*Homework 2 is due at 6pm Tuesday April 22. | *Homework 2 is due at 6pm Tuesday April 22. | ||
</div> | </div> | ||
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**[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]] | **[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]] | ||
**[[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 ]], by Minwoong Kim (in Korean) | **[[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 ]], by Minwoong Kim (in Korean) | ||
| − | **[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] | + | **[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] |
| − | **[[Curse of Dimensionality]], by Haonan Yu | + | **[[Curse of Dimensionality]], by Haonan Yu |
*Slectures on Bayes Rule | *Slectures on Bayes Rule | ||
**[[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 | ||
| + | **[[|]]{{Upper Bounds for Bayes error}} | ||
**[[Test|Upper Bounds for Bayes Error (including the derivation of Chernoff Distance)]] by Jeehyun Choe | **[[Test|Upper Bounds for Bayes Error (including the derivation of Chernoff Distance)]] by Jeehyun Choe | ||
**[[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 | **[[Bayes Rule Minimize Risk Dennis Lee|Bayes Rule for Minimizing Risk]] by Dennis Lee | ||
| − | **[[Derivation of Bayes' Rule from Bayes' Theorem]] by Nadra Guizani | + | **[[Derivation of Bayes' Rule from Bayes' Theorem]] by Nadra Guizani |
**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 07:18, 22 April 2014
Contents
ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)
Welcome to ECE662!
- Homework 2 is due at 6pm Tuesday April 22.
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
- [[|]] 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
- 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
