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| − | + | == [[ECE662]]: '''Statistical Pattern Recognition and Decision Making Processes, Spring 2014''' (cross-listed with CS662) == | |
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| + | ---- | ||
<div style="border-bottom: rgb(68,68,136) 1px solid; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em"> | <div style="border-bottom: rgb(68,68,136) 1px solid; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em"> | ||
| − | + | == '''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. | |
</div> | </div> | ||
| − | + | ---- | |
| − | + | ||
| − | + | == '''Course Information''' == | |
| − | + | ||
| − | + | Instructor: | |
| − | + | ||
| − | + | *[[User:Mboutin|Professor Mimi Boutin]] | |
| − | + | ||
| − | + | ::Office: MSEE342 | |
| − | + | ::[[Open office hours mboutin|Office hours]] | |
| − | + | ::[https://www.projectrhea.org/rhea/index.php/Special:DropBox?forUser=mboutin&assn=true Assignment Drop Box] | |
| − | + | ||
| − | + | Lecture: | |
| − | + | ||
| − | + | *'''When?''' TuTh, 10:30 - 11:45 | |
| − | + | *'''Where?''' EE117 (subject to change) | |
| − | + | ||
| − | + | ---- | |
| − | + | ||
| − | + | == [https://www.projectrhea.org/learning/slectures.php Slectures] == | |
| − | + | ||
| − | + | Please use this [[Slecture template ECE662S14|template for text slectures]] or this [[Slecture template video ECE662S14|template for video slectures]] | |
| − | + | ||
| − | + | *Slectures on Probability and Statistics | |
| − | + | **[[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) | |
| − | + | **[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] | |
| − | + | *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] | |
| − | + | **[[Upper Bounds for Bayes Error|Upper Bounds for Bayes Error]] by G. M. Dilshan Godaliyadda | |
| − | + | **[[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 | |
| − | + | **[[Bayes Rule Minimize Risk Dennis Lee|Bayes Rule for Minimizing Risk]] by Dennis Lee | |
| − | + | **Link to slecture (use a descriptive title) | |
| − | + | *Slectures on Density Estimation | |
| − | + | **[[Mle tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa | |
| − | + | **[[Introduction to local density estimation methods|Introduction to local (nonparametric) density estimation methods]] by Yu Liu | |
| − | + | *Slectures on Linear Classifiers | |
| − | + | ||
| − | + | ---- | |
| − | + | ||
| − | + | == Peer Reviews == | |
| − | + | ||
| − | + | *[[Instructions peer review hw1|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. | |
| − | + | ||
| − | + | *[[Data discussion HW1 ECE662 S14 Boutin|Where to find data for HW1]] | |
| − | + | *[[Yelp Dataset|Possible Real-world data to use for class]] | |
| − | + | *[[Programming help ECE662S14|Programming help!]] | |
| − | + | *New Discussion | |
| + | |||
| + | ---- | ||
| + | |||
| + | [[ECE662|Back to main ECE662 page]] | ||
| + | |||
| + | [[Category:ECE662Spring2014Boutin]] [[Category:ECE]] [[Category:ECE662]] [[Category:Pattern_recognition]] | ||
Revision as of 05:20, 16 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
- 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
- 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
