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Multilingual [https://www.projectrhea.org/learning/slectures.php Slectures] by Students in the Spring 2014 Class of [[ECE662]]
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Multilingual [http://www.projectrhea.org/learning/slectures.php Slectures] by Students in the Spring 2014 Class of [[ECE662]]
 
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**[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou]  <span style="color:GREEN">Starts very slowly.</span>  
 
**[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou]  <span style="color:GREEN">Starts very slowly.</span>  
 
**[[PCA Theory Examples|Text slecture in English]], by Sujin Jang  <span style="color:GREEN">Jumps right into linear algebra at the beginning.</span>
 
**[[PCA Theory Examples|Text slecture in English]], by Sujin Jang  <span style="color:GREEN">Jumps right into linear algebra at the beginning.</span>
**[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh
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**[[Pca khalid|Video slecture in English]], by Khalid Tahboub <span style="color:GREEN">Clearly explains why it's not good when trying to recognize patterns</span>
**[[Pca khalid|Video slecture in English]], by Khalid Tahboub
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**[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh <span style="color:GREEN">More Advanced. Covers kernel PCA.</span>
 
*The Curse of Dimensionality  
 
*The Curse of Dimensionality  
**[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu  
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**[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu <span style="color:GREEN">Text flows nicely. Fun read.</span>
 
==2. Bayes Rule ==
 
==2. Bayes Rule ==
 
*Bayes Rule in Layman's Terms  
 
*Bayes Rule in Layman's Terms  

Latest revision as of 10:38, 22 January 2015


The Boutin Lectures on Statistical Pattern Recognition

Multilingual Slectures by Students in the Spring 2014 Class of ECE662


0. Foreword by Professor Boutin

1. Background Material

2. Bayes Rule

3. Global (parametric) Density Estimation Methods

4. Local ("non-parametric") Density Estimation Methods

5. Linear Classifiers

6. Supplementary Material


Go to ECE662 Spring 2014 Course Wiki

Go to Slecture Page

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett