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**[[Generation of N-dimensional normally distributed random numbers from two categories with different priors|Text slecture in English]] by Jonghoon Jin <span style="color:GREEN">More Advanced</span>   
 
**[[Generation of N-dimensional normally distributed random numbers from two categories with different priors|Text slecture in English]] by Jonghoon Jin <span style="color:GREEN">More Advanced</span>   
 
*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">Very clear and well organized</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   
+
**[[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  
 
**[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh  
 
**[[Pca khalid|Video slecture in English]], by Khalid Tahboub  
 
**[[Pca khalid|Video slecture in English]], by Khalid Tahboub  

Revision as of 10:20, 22 May 2014


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

ECE462 Survivor

Seraj Dosenbach