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***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang   
 
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang   
 
==3. Local ("non-parametric") Density Estimation Methods==
 
==3. Local ("non-parametric") Density Estimation Methods==
**Introduction to Local density Estimation Techniques (so-called "non-parametric")  
+
*Introduction to Local density Estimation Techniques (so-called "non-parametric")  
***[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span>  
+
**[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span>  
***[[Slecture Introduction local density estimation methods ECE662 Spring2014 Aziza|Video slecture in Russian]] by Aziza Satkhozhina  
+
**[[Slecture Introduction local density estimation methods ECE662 Spring2014 Aziza|Video slecture in Russian]] by Aziza Satkhozhina  
***[[Introduction to local density estimation methods ECE662 Spring2014 Nusaybah|Video slecture in English]] by Nusaybah Abu-Mulaweh  
+
**[[Introduction to local density estimation methods ECE662 Spring2014 Nusaybah|Video slecture in English]] by Nusaybah Abu-Mulaweh  
***[[Intro local non parametric density estimation methods ECE662 Spring2014 Yuan|Video slecture in English]] by Chenxi Yuan <span style="color:GREEN">OK</span>  
+
**[[Intro local non parametric density estimation methods ECE662 Spring2014 Yuan|Video slecture in English]] by Chenxi Yuan <span style="color:GREEN">OK</span>  
**Density Estimation with Parzen Windows  
+
*Density Estimation with Parzen Windows  
***[[ParzenWindow|Text slecture in English]] by Chiho Choi <span style="color:GREEN">OK</span>  
+
**[[ParzenWindow|Text slecture in English]] by Chiho Choi <span style="color:GREEN">OK</span>  
***[[Parzen Window Density Estimation|Text slecture in English]] by Ben Foster <span style="color:GREEN">OK</span>  
+
**[[Parzen Window Density Estimation|Text slecture in English]] by Ben Foster <span style="color:GREEN">OK</span>  
***[[Parzen Windows|Text slecture in English]] by Abdullah Alshaibani <span style="color:GREEN">OK</span>  
+
**[[Parzen Windows|Text slecture in English]] by Abdullah Alshaibani <span style="color:GREEN">OK</span>  
**Density Estimation with K-Nearest Neighbors (KNN)  
+
*Density Estimation with K-Nearest Neighbors (KNN)  
***[[KnnDensityEstimation|Text slecture in English]] by Raj Praveen Selvaraj <span style="color:GREEN">OK</span>  
+
**[[KnnDensityEstimation|Text slecture in English]] by Raj Praveen Selvaraj <span style="color:GREEN">OK</span>  
***[[Knearestneighbors|Text slecture in English]] by Dan Barrett QUESTION PAGE  
+
**[[Knearestneighbors|Text slecture in English]] by Dan Barrett QUESTION PAGE  
***[[K-Nearest Neighbors Density Estimation|Video slecture in English]] by Qi Wang <span style="color:GREEN">OK</span>  
+
**[[K-Nearest Neighbors Density Estimation|Video slecture in English]] by Qi Wang <span style="color:GREEN">OK</span>  
**The Nearest Neighbor Decision Rule  
+
*The Nearest Neighbor Decision Rule  
***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon
+
**[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon
***[[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
 
*Linear classifiers, projective coordinates, and Fisher linear discriminant

Revision as of 07:06, 15 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

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

4. Linear Classifiers

5. 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