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*Probability and Statistics | *Probability and Statistics | ||
**Whitening and Coloring Transforms | **Whitening and Coloring Transforms | ||
| − | ***[[ECE662 Whitening and Coloring Transforms S14 MH| | + | ***[[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 | **How to generate random n dimensional data from two categories with different priors | ||
***[[Generating random data with controlled prior probabilities slecture ECE662S14 Gheith|Video slecture in English]] by Alex Gheith <span style="color:GREEN">OK</span> | ***[[Generating random data with controlled prior probabilities slecture ECE662S14 Gheith|Video slecture in English]] by Alex Gheith <span style="color:GREEN">OK</span> | ||
Revision as of 06:57, 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
- Video slecture in English by Alex Gheith OK
- Video slecture in Korean , by Minwoong Kim OK
- Video slecture in Korean , by Hyun Dok Cho OK
- Text slecture in English by Joonsoo Kim OK
- Text slecture in English by Jonghoon Jin OK
- 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
- Text slecture in English by John Mulcahy-Stanislawczyk
- Text slecture in English by Borui Chen
- Slectures on Support Vector Machines (SVM)
- Text slecture in English by Xing Liu
- Video slecture in English by Tao Jiang
- Slectures on Clustering Algorithms (supplemental material)
- text slecture in English by David Runyan
Go to ECE662 Spring 2014 Course Wiki
Go to Slecture Page
