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**[[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] | ||
| − | *Slectures on Curse of Dimensionality | + | *Slectures on Curse of Dimensionality |
| − | **[[Curse of Dimensionality|Text slecture in English]], and [[ | + | **[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu |
*Slectures on Bayes Rule | *Slectures on Bayes Rule | ||
| − | **Derivation of Bayes Rule | + | **Derivation of Bayes Rule |
| − | ***[[From Bayes Theorem to Pattern Recognition via Bayes Rule|Text slecture in English]] by [http://varunvasudevan.com/ Varun Vasudevan] | + | ***[[From Bayes Theorem to Pattern Recognition via Bayes Rule|Text slecture in English]] by [http://varunvasudevan.com/ Varun Vasudevan]<br> |
| + | ***[[Bayes_Rule_for_1-dimensional_and_N-dimensional_feature_spaces|Text slecture in English]] by Jihwan Lee<br> | ||
***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani | ***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani | ||
| − | ***[[ | + | ***[[Derivation Bayes Rule slecture ECE662 Spring2014 Kim|Video slecture in English]] by Jieun Kim |
| − | **Upper Bounds for Bayes Error | + | **Upper Bounds for Bayes Error |
***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda | ***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda | ||
| − | ***[[ | + | ***[[Upper Bound for Bayes error|Text slecture in English]] by Yihan Ding PLEASE FOLLOW TEMPLATE |
***[[Test|Text slecture in English (includes the derivation of Chernoff Distance)]] by Jeehyun Choe | ***[[Test|Text slecture in English (includes the derivation of Chernoff Distance)]] by Jeehyun Choe | ||
| − | **Bayes Rule to Minimize Risk | + | **Bayes Rule to Minimize Risk |
***[[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 | ||
| − | **[[Bayes rule in practice]] by Lu Wang | + | **[[Bayes rule in practice]] by Lu Wang |
*Slectures on Neyman-Pearson test and ROC curves | *Slectures on Neyman-Pearson test and ROC curves | ||
**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve]] by Soonam Lee | **[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve]] by Soonam Lee | ||
*Slectures on Density Estimation | *Slectures on Density Estimation | ||
| − | **Maximum Likelihood Estimation (MLE) | + | **Maximum Likelihood Estimation (MLE) |
***[[Mle tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa | ***[[Mle tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa | ||
| − | **Bayesian Estimation (BPE) | + | **Bayesian Estimation (BPE) |
| − | ***Link here | + | ***Link here |
| − | **Introduction to Local density Estimation Techniques (so-called "non-parametric") | + | **Introduction to Local density Estimation Techniques (so-called "non-parametric") |
***[[Introduction to local density estimation methods|Introduction to local (nonparametric) density estimation methods]] by [https://www.youtube.com/watch?v=WwPpsLjUsfQ Yu Liu] | ***[[Introduction to local density estimation methods|Introduction to local (nonparametric) density estimation methods]] by [https://www.youtube.com/watch?v=WwPpsLjUsfQ Yu Liu] | ||
| − | **Density Estimation with Parzen Windows | + | **Density Estimation with Parzen Windows |
| − | ***Link here | + | ***Link here |
| − | **Density Estimation with K-Nearest Neighbors (KNN) | + | **Density Estimation with K-Nearest Neighbors (KNN) |
| − | ***Link here | + | ***Link here |
| − | **The Nearest Neighbor Decision Rule | + | **The Nearest Neighbor Decision Rule |
| − | ***Link here | + | ***Link here |
*Slectures on Linear Classifiers | *Slectures on Linear Classifiers | ||
Revision as of 12:12, 26 April 2014
Contents
ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)
Welcome to ECE662!
- Reviews for HW2 are activated. Please complete your review before class on Tuesday April 29.
- Does anybody in the class speak Spanish (besides Francis)? If so, please send me an email. -pm
- Does anybody in the class speak Russian (besides Aziza)? If so, please send me an email. -pm
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 Curse of Dimensionality
- Text slecture in English, and in Chinese by Haonan Yu
- Slectures on Bayes Rule
- Derivation of Bayes Rule
- Text slecture in English by Varun Vasudevan
- Text slecture in English by Jihwan Lee
- Video slecture in English by Nadra Guizani
- Video slecture in English by Jieun Kim
- Text slecture in English by Varun Vasudevan
- Upper Bounds for Bayes Error
- Text slecture in English by G. M. Dilshan Godaliyadda
- Text slecture in English by Yihan Ding PLEASE FOLLOW TEMPLATE
- Text slecture in English (includes the derivation of Chernoff Distance) by Jeehyun Choe
- Bayes Rule to Minimize Risk
- Bayes Rule to minimize risk, by Andy Park
- Bayes Rule for Minimizing Risk by Dennis Lee
- Bayes rule in practice by Lu Wang
- Derivation of Bayes Rule
- Slectures on Neyman-Pearson test and ROC curves
- Slectures on Density Estimation
- Maximum Likelihood Estimation (MLE)
- Tutorial on Maximum Likelihood Estimates by Sudhir Kylasa
- Bayesian Estimation (BPE)
- Link here
- Introduction to Local density Estimation Techniques (so-called "non-parametric")
- Density Estimation with Parzen Windows
- Link here
- Density Estimation with K-Nearest Neighbors (KNN)
- Link here
- The Nearest Neighbor Decision Rule
- Link here
- Maximum Likelihood Estimation (MLE)
- 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
