2014 Spring ECE 662 Boutin Statistical Pattern recognition slectures - Rhea

The Boutin Lectures on Statistical Pattern Recognition

Multilingual Slectures by Students in the Spring 2014 Class of ECE662

0. Foreword by Professor Boutin

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 Newbies can start here
- Video slecture in Korean , by Minwoong Kim Newbies can start here- if they speak Korean
- Video slecture in Korean , by Hyun Dok Cho Newbies can start here- if you they speak Korean
- Text slecture in English by Joonsoo Kim More Advanced
- Text slecture in English by Jonghoon Jin More Advanced
Principal Component Analysis (PCA)
- Text slecture in English, by Tian Zhou Starts very slowly.
- Text slecture in English, by Sujin Jang Jumps right into linear algebra at the beginning.
- Video slecture in English, by Khalid Tahboub Clearly explains why it's not good when trying to recognize patterns
- Video slecture in English, and Chinese, by Tsung Tai Yeh More Advanced. Covers kernel PCA.
The Curse of Dimensionality
- Text slecture in English, and in Chinese by Haonan Yu Text flows nicely. Fun read.

Bayes Rule in Layman's Terms
- Video slecture in Spanish by Francis Phillip
Derivation of Bayes Rule
- Text slecture in English By Anonymous7
- Text slecture in English by Varun Vasudevan
- Video slecture in English by Nadra Guizani
- Video slecture in English by Jieun Kim
- Text slecture in Greek by Stylianos Chatzidakis
- Text slecture in Chinese by Weibao Wang
Optimality of Bayes Rule
- Video slecture in English by Aaron Michaux
- Video slecture in Korean by Jeong-wan Kim
Upper Bounds for Bayes Error
- Text slecture in English by G. M. Dilshan Godaliyadda
- Text slecture in English (includes the derivation of Chernoff Distance) by Jeehyun Choe
Bayes Rule to Minimize Risk
- Video slectures in English, by Andy Park
- Text slecture in Chinese by Robert Ness
- Text slecture in English by Dennis Lee
Bayes Rule for Normally Distributed Features
- Text slecture in English by Yanzhe Cui
- Text slecture in English by Jihwan Lee
Bayes rule in practice
- Text slecture in English by Lu Wang
- Text slecture in English by Chuohao Tang
Neyman-Pearson test and ROC curves
- Text slecture in English by Soonam Lee
- Video slecture in English by Jianxin Sun
- Text slecture in English by Hao Lin

Introduction to Local density Estimation Techniques (so-called "non-parametric")
- Text slecture in English by Yu Liu
- Video slecture in Russian by Aziza Satkhozhina
- Video slecture in English by Nusaybah Abu-Mulaweh
- Video slecture in English by Chenxi Yuan
Density Estimation with Parzen Windows
- Text slecture in English by Chiho Choi
- Text slecture in English by Ben Foster
- Text slecture in English by Abdullah Alshaibani
Density Estimation with K-Nearest Neighbors (KNN)
- Text slecture in English by Raj Praveen Selvaraj
- Text slecture in English by Dan Barrett
- Video slecture in English by Qi Wang
The Nearest Neighbor Decision Rule
- Text slecture in English by Sang Ho Yoon
- Text slecture in English by Jonathan Manring

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