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**[[ECE662 roc|Text slecture in English]] by Hao Lin <span style="color:GREEN">OK</span>  
 
**[[ECE662 roc|Text slecture in English]] by Hao Lin <span style="color:GREEN">OK</span>  
 
==3. Global (parametric) Density Estimation Methods==  
 
==3. Global (parametric) Density Estimation Methods==  
**Maximum Likelihood Estimation (MLE)  
+
*Maximum Likelihood Estimation (MLE)  
***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa <span style="color:GREEN">OK</span>  
+
**[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa <span style="color:GREEN">OK</span>  
***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri <span style="color:GREEN">OK</span>  
+
**[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri <span style="color:GREEN">OK</span>  
***[[Video slecture in English: Introduction to Maximum Likelihood Estimation|Video slecture in English]] by Anantha Raghuraman <span style="color:GREEN">OK</span>  
+
**[[Video slecture in English: Introduction to Maximum Likelihood Estimation|Video slecture in English]] by Anantha Raghuraman <span style="color:GREEN">OK</span>  
***[[Convergence of the Maximum Likelihood Estimator over Multiple Trials|Video slecture in English]] by [http://web.ics.purdue.edu/~scarver/ Spencer Carver] <span style="color:GREEN">OK</span>  
+
**[[Convergence of the Maximum Likelihood Estimator over Multiple Trials|Video slecture in English]] by [http://web.ics.purdue.edu/~scarver/ Spencer Carver] <span style="color:GREEN">OK</span>  
***[[Maximum Likelihood Estimators and Examples|Text slecture in English]] by Lu Zhang <span style="color:GREEN">OK</span>  
+
**[[Maximum Likelihood Estimators and Examples|Text slecture in English]] by Lu Zhang <span style="color:GREEN">OK</span>  
***[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park <span style="color:GREEN">OK</span>  
+
**[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park <span style="color:GREEN">OK</span>  
***[[MLEforGMM|Text slecture in English]] by Wen Yi  
+
**[[MLEforGMM|Text slecture in English]] by Wen Yi  
***[[ECE662Selecture zhenpengMLE|Text slecture in English]] by Zhenpeng Zhao  
+
**[[ECE662Selecture zhenpengMLE|Text slecture in English]] by Zhenpeng Zhao  
**Bayesian Estimation (BPE)  
+
*Bayesian Estimation (BPE)  
***[[Bayes Parameter Estimation|Text slecture in English]] by Haiguang Wen <span style="color:GREEN">OK</span>  
+
**[[Bayes Parameter Estimation|Text slecture in English]] by Haiguang Wen <span style="color:GREEN">OK</span>  
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang  
+
**[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang  
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang   
+
**[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang   
 
==4. Local ("non-parametric") Density Estimation Methods==
 
==4. 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")  

Revision as of 07:39, 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

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