Line 110: Line 110:
 
***[[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 <span style="color:RED">PLAGIARISM! MUST MAKE YOUR OWN FIGURES</span>  
+
***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon <span style="color:RED">PLAGIARISM! MUST MAKE YOUR OWN FIGURES</span> (Updated)
 
***[[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>  
 
*Slectures on Linear Classifiers  
 
*Slectures on Linear Classifiers  

Revision as of 15:41, 13 May 2014



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


                Welcome to ECE662!

  • WARNING: some students copied and pasted the material of some references in order to build their slectures. this is plagiarism! Totally unacceptable and unethical.
  • The peer review for HW3 has been activated. If you did a peer review for HW2, you do not need to do the peer review this time. If you did not do a peer review for HW2 (e.g., if you did not hand in HW2) then you must do the peer review of HW3. -pm
  • Please fill this form (by May 13) 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.

Course Information

Instructor:

Office: MSEE342
Office hours
Assignment Drop Box

Lecture:

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

Slectures

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