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<div style="border-bottom: rgb(68,68,136) 1px solid; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em">
 
<div style="border-bottom: rgb(68,68,136) 1px solid; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em">
 
== &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; '''Welcome to ECE662!'''  ==
 
== &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; '''Welcome to ECE662!'''  ==
*<span style="color:RED">WARNING: some students copied and pasted the material of some references in order to build their slectures. this is plagiarism! Totally unacceptable and unethical. </span>
+
 
* 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
+
*<span style="color:RED">WARNING: some students copied and pasted the material of some references in order to build their slectures. this is plagiarism! Totally unacceptable and unethical. </span>  
* Please fill this [https://docs.google.com/forms/d/1aYxQF5iEbJrd2OBVVxgABMqnlkOtN--r0lxCGpsX-Vw/viewform 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.
+
*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 [https://docs.google.com/forms/d/1aYxQF5iEbJrd2OBVVxgABMqnlkOtN--r0lxCGpsX-Vw/viewform 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.
 
</div>  
 
</div>  
 
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***[[PCA Theory Examples|Text slecture in English]], by Sujin Jang <span style="color:GREEN">OK</span>  
 
***[[PCA Theory Examples|Text slecture in English]], by Sujin Jang <span style="color:GREEN">OK</span>  
 
***[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh <span style="color:GREEN">OK</span>  
 
***[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh <span style="color:GREEN">OK</span>  
***[[pca_khalid|Video slecture in English]], by Khalid Tahboub <span style="color:GREEN"></span>  
+
***[[Pca khalid|Video slecture in English]], by Khalid Tahboub <span style="color:GREEN" />  
 
*Slectures on Curse of Dimensionality  
 
*Slectures on Curse of Dimensionality  
 
**[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu USE SAME COMMENT PAGE FOR BOTH ENGLISH AND CHINESE VERSION  
 
**[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu USE SAME COMMENT PAGE FOR BOTH ENGLISH AND CHINESE VERSION  
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***[[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 <span style="color:red">plagiarized material</span>  
+
***[[MLEforGMM|Text slecture in English]] by Wen Yi <span style="color:red">plagiarized material &nbsp; fixed, please check it again</span>
 
***[[ECE662Selecture zhenpengMLE|Text slecture in English]] by Zhenpeng Zhao TEXT NEEDS TO BE TYPED IN WIKITEXT MARKUP LANGUAGE!!!!!!  
 
***[[ECE662Selecture zhenpengMLE|Text slecture in English]] by Zhenpeng Zhao TEXT NEEDS TO BE TYPED IN WIKITEXT MARKUP LANGUAGE!!!!!!  
 
**Bayesian Estimation (BPE)  
 
**Bayesian Estimation (BPE)  
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***[[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>  
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**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>  
***[[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  
 
**[[JMSLinearClassifierSlecture|Text slecture in English]] by John Mulcahy-Stanislawczyk  
 
**[[JMSLinearClassifierSlecture|Text slecture in English]] by John Mulcahy-Stanislawczyk  
 
*Slectures on Support Vector Machines (SVM)  
 
*Slectures on Support Vector Machines (SVM)  
 
**[https://kiwi.ecn.purdue.edu/rhea/index.php/Least_Squares_Support_Vector_Machine_and_its_Applications_in_Solving_Linear_Regression_Problems Text slecture in English] by Xing Liu  
 
**[https://kiwi.ecn.purdue.edu/rhea/index.php/Least_Squares_Support_Vector_Machine_and_its_Applications_in_Solving_Linear_Regression_Problems Text slecture in English] by Xing Liu  
**[[Support Vector Machine|Video slecture in English]] by Tao Jiang NEED TO FOLLOW FORMAT OF THE OTHERS AND ADD A QUESTION/COMMENTS PAGE
+
**[[Support Vector Machine|Video slecture in English]] by Tao Jiang NEED TO FOLLOW FORMAT OF THE OTHERS AND ADD A QUESTION/COMMENTS PAGE  
*Slectures on Clustering Algorithms (supplemental material)
+
*Slectures on Clustering Algorithms (supplemental material)  
** [[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan
+
**[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan
 +
 
 
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Revision as of 07:31, 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

EISL lab graduate

Mu Qiao