(Undo revision 66115 by Lin116 (Talk))
 
(2 intermediate revisions by 2 users not shown)
Line 9: Line 9:
 
==                 '''Welcome to ECE662!'''  ==
 
==                 '''Welcome to ECE662!'''  ==
 
* The cleaned up version of the slectures is [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|here]].  
 
* The cleaned up version of the slectures is [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|here]].  
*Please fill this [https://docs.google.com/forms/d/1aYxQF5iEbJrd2OBVVxgABMqnlkOtN--r0lxCGpsX-Vw/viewform form] (by May 18) to help us keep track of the diversity in the class. It is voluntary, anonymous and would not take more than 5 minutes. Thank You.
 
 
</div>  
 
</div>  
 
----
 
----
Line 65: Line 64:
 
**Upper Bounds for Bayes Error  
 
**Upper Bounds for Bayes Error  
 
***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda   
 
***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda   
***[[Upper Bound for Bayes error|Text slecture in English]] by Yihan Ding <span style="color:RED">MATERIAL PLAGIARIZED. NOT EVEN A CITATION IS GIVEN</span>
 
 
***[[Test|Text slecture in English (includes the derivation of Chernoff Distance)]] by Jeehyun Choe <span style="color:GREEN">OK</span>  
 
***[[Test|Text slecture in English (includes the derivation of Chernoff Distance)]] by Jeehyun Choe <span style="color:GREEN">OK</span>  
 
**Bayes Rule to Minimize Risk  
 
**Bayes Rule to Minimize Risk  
Line 80: Line 78:
 
**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee] <span style="color:GREEN">OK</span>  
 
**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee] <span style="color:GREEN">OK</span>  
 
**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun <span style="color:GREEN">OK</span>  
 
**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun <span style="color:GREEN">OK</span>  
**[[ECE662 roc|Text slecture in English]] by Hao Lin <span style="color:GREEN">OK</span>
 
 
*Slectures on Density Estimation  
 
*Slectures on Density Estimation  
 
**Maximum Likelihood Estimation (MLE)  
 
**Maximum Likelihood Estimation (MLE)  

Latest revision as of 20:50, 2 May 2016



ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)


                Welcome to ECE662!

  • The cleaned up version of the slectures is here.

Course Information

Instructor:

Office: MSEE342
Office hours
Assignment Drop Box

Lecture:

  • When? TuTh, 10:30 - 11:45
  • Where? EE117 (subject to change)

Slectures

The cleaned up version of these slectures is HERE

Please use this template for text slectures or this template for video slectures


Peer Reviews


Discussion

Feel free to use the space below for discussion, or create a page for discussion and link it below.


Back to main ECE662 page

Alumni Liaison

To all math majors: "Mathematics is a wonderfully rich subject."

Dr. Paul Garrett