| Line 95: | Line 95: | ||
***[[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> | ||
==4. Linear Classifiers == | ==4. Linear Classifiers == | ||
| + | *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 | ||
**[[CBR_logistic_regression|Text slecture in English]] by Borui Chen | **[[CBR_logistic_regression|Text slecture in English]] by Borui Chen | ||
| − | * | + | *Support Vector Machines (SVM) |
| − | **[ | + | **[[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 | ||
| − | * | + | ==5. Supplementary Material== |
| + | *Clustering Algorithms | ||
**[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan | **[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan | ||
---- | ---- | ||
Revision as of 07:04, 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
- Probability and Statistics
- 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
- Whitening and Coloring Transforms
- 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)
3. 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
- Introduction to Local density Estimation Techniques (so-called "non-parametric")
4. 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
5. Supplementary Material
- Clustering Algorithms
- text slecture in English by David Runyan
Go to ECE662 Spring 2014 Course Wiki
Go to Slecture Page
