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==0. Foreword by Professor Boutin== | ==0. Foreword by Professor Boutin== | ||
==1. Background Material == | ==1. Background Material == | ||
| − | + | *Whitening and Coloring Transforms | |
| − | + | **[[ECE662 Whitening and Coloring Transforms S14 MH|Text slecture in English]], by [[User:Mhossain|Maliha Hossain]] <span style="color:GREEN">Very clear!</span> | |
| − | + | *How to generate random n dimensional data from two categories with different priors (use these methods to generate data for homework) | |
| − | + | **[[Generating random data with controlled prior probabilities slecture ECE662S14 Gheith|Video slecture in English]] by Alex Gheith | |
| − | + | **[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Kim ECE662 Spring 2014|Video slecture in Korean ]], by Minwoong Kim | |
| − | + | **[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014|Video slecture in Korean ]], by Hyun Dok Cho | |
| − | + | **[[The principles for how to generate random samples from a Gaussian distribution|Text slecture in English]] by Joonsoo Kim | |
| − | + | **[[Generation of N-dimensional normally distributed random numbers from two categories with different priors|Text slecture in English]] by Jonghoon Jin | |
| − | + | ||
*Principal Component Analysis (PCA) | *Principal Component Analysis (PCA) | ||
**[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] <span style="color:GREEN">OK</span> | **[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] <span style="color:GREEN">OK</span> | ||
| Line 77: | Line 76: | ||
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang | ***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang | ||
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang | ***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang | ||
| − | == | + | ==4. Local ("non-parametric") Density Estimation Methods== |
*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|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span> | **[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span> | ||
| Line 94: | Line 93: | ||
**[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon | **[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon | ||
**[[Slecture from KNN to nearest neighbor|Text slecture in English]] by Jonathan Manring <span style="color:GREEN">OK</span> | **[[Slecture from KNN to nearest neighbor|Text slecture in English]] by Jonathan Manring <span style="color:GREEN">OK</span> | ||
| − | == | + | ==5. Linear Classifiers == |
*Linear classifiers, projective coordinates, and Fisher linear discriminant | *Linear classifiers, projective coordinates, and Fisher linear discriminant | ||
**[[JMSLinearClassifierSlecture|Text slecture in English]] by John Mulcahy-Stanislawczyk | **[[JMSLinearClassifierSlecture|Text slecture in English]] by John Mulcahy-Stanislawczyk | ||
| Line 101: | Line 100: | ||
**[[Least_Squares_Support_Vector_Machine_and_its_Applications_in_Solving_Linear_Regression_Problems| Text slecture in English]] by Xing Liu | **[[Least_Squares_Support_Vector_Machine_and_its_Applications_in_Solving_Linear_Regression_Problems| Text slecture in English]] by Xing Liu | ||
**[[Support Vector Machine|Video slecture in English]] by Tao Jiang | **[[Support Vector Machine|Video slecture in English]] by Tao Jiang | ||
| − | == | + | ==6. Supplementary Material== |
*Clustering Algorithms | *Clustering Algorithms | ||
**[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan | **[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan | ||
Revision as of 07:07, 15 May 2014
The Boutin Lectures on Statistical Pattern Recognition
Multilingual Slectures by Students in the Spring 2014 Class of ECE662
Contents
0. Foreword by Professor Boutin
1. Background Material
- Whitening and Coloring Transforms
- Text slecture in English, by Maliha Hossain Very clear!
- How to generate random n dimensional data from two categories with different priors (use these methods to generate data for homework)
- Video slecture in English by Alex Gheith
- Video slecture in Korean , by Minwoong Kim
- Video slecture in Korean , by Hyun Dok Cho
- Text slecture in English by Joonsoo Kim
- Text slecture in English by Jonghoon Jin
- Principal Component Analysis (PCA)
- Text slecture in English, by Tian Zhou OK
- Text slecture in English, by Sujin Jang OK
- Video slecture in English, and Chinese, by Tsung Tai Yeh OK
- Video slecture in English, by Khalid Tahboub <span style="color:GREEN" />
- The Curse of Dimensionality
- Text slecture in English, and in Chinese by Haonan Yu USE SAME COMMENT PAGE FOR BOTH ENGLISH AND CHINESE VERSION
2. Bayes Rule
- Bayes Rule in Layman's Terms
- Video slecture in Spanish by Francis Phillip OK
- Derivation of Bayes Rule
- Text slecture in English By Anonymous7 OK
- Text slecture in English by Varun Vasudevan OK
- Video slecture in English by Nadra Guizani OK
- Video slecture in English by Jieun Kim OK
- Text slecture in Greek by Stylianos Chatzidakis OK
- Text slecture in Chinese by Weibao Wang OK
- Optimality of Bayes Rule
- Video slecture in English by Aaron Michaux OK
- Video slecture in Korean by Jeong-wan Kim OK
- Upper Bounds for Bayes Error
- Text slecture in English by G. M. Dilshan Godaliyadda
- Text slecture in English by Yihan Ding
- Text slecture in English (includes the derivation of Chernoff Distance) by Jeehyun Choe OK
- Bayes Rule to Minimize Risk
- Video slectures in English, by Andy Park OK
- Text slecture in Chinese by Robert Ness OK
- Text slecture in English by Dennis Lee OK
- Bayes Rule for Normally Distributed Features
- Text slecture in English by Yanzhe Cui
- Text slecture in English by Jihwan Lee OK
- Bayes rule in practice
- Text slecture in English by Lu Wang OK
- Text slecture in English by Chuohao Tang OK
- Bayes Rule in Layman's Terms
- Slectures on Neyman-Pearson test and ROC curves
- Text slecture in English by Soonam Lee OK
- Video slecture in English by Jianxin Sun OK
- Text slecture in English by Hao Lin OK
3. Global (parametric) Density Estimation Methods
- Maximum Likelihood Estimation (MLE)
- Text slecture in English by Sudhir Kylasa OK
- Text slecture in English by Hariharan Seshadri OK
- Video slecture in English by Anantha Raghuraman OK
- Video slecture in English by Spencer Carver OK
- Text slecture in English by Lu Zhang OK
- Video slecture in English by Keehwan Park OK
- Text slecture in English by Wen Yi
- Text slecture in English by Zhenpeng Zhao
- Bayesian Estimation (BPE)
- Text slecture in English by Haiguang Wen OK
- Text slecture in English, by Shaobo Fang
- Text slecture in English by Yu Wang
- Maximum Likelihood Estimation (MLE)
4. Local ("non-parametric") Density Estimation Methods
- Introduction to Local density Estimation Techniques (so-called "non-parametric")
- Text slecture in English by Yu Liu OK
- Video slecture in Russian by Aziza Satkhozhina
- Video slecture in English by Nusaybah Abu-Mulaweh
- Video slecture in English by Chenxi Yuan OK
- Density Estimation with Parzen Windows
- Text slecture in English by Chiho Choi OK
- Text slecture in English by Ben Foster OK
- Text slecture in English by Abdullah Alshaibani OK
- Density Estimation with K-Nearest Neighbors (KNN)
- Text slecture in English by Raj Praveen Selvaraj OK
- Text slecture in English by Dan Barrett QUESTION PAGE
- Video slecture in English by Qi Wang OK
- The Nearest Neighbor Decision Rule
- Text slecture in English by Sang Ho Yoon
- Text slecture in English by Jonathan Manring OK
5. Linear Classifiers
- Linear classifiers, projective coordinates, and Fisher linear discriminant
- Text slecture in English by John Mulcahy-Stanislawczyk
- Text slecture in English by Borui Chen
- Support Vector Machines (SVM)
- Text slecture in English by Xing Liu
- Video slecture in English by Tao Jiang
6. Supplementary Material
- Clustering Algorithms
- text slecture in English by David Runyan
Go to ECE662 Spring 2014 Course Wiki
Go to Slecture Page
