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**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 <span style="color:RED">PLAGIARISM. TEXT COPIED AND PASTED FROM DUDA AND HART : Working to fix the problem</span>  
+
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang <span style="color:RED">PLAGIARISM. TEXT COPIED AND PASTED FROM DUDA AND HART: Fixed, please kindly check again, thanks.</span>  
 
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang <span style="color:RED">PLAGIARISM. Fixed Please check again. Thanks.</span>  
 
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang <span style="color:RED">PLAGIARISM. Fixed Please check again. Thanks.</span>  
 
**Introduction to Local density Estimation Techniques (so-called "non-parametric")  
 
**Introduction to Local density Estimation Techniques (so-called "non-parametric")  

Revision as of 01:03, 14 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 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.

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

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva