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**[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]] <span style="color:GREEN">OK</span>  
 
**[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]] <span style="color:GREEN">OK</span>  
 
**How to generate random n dimensional data from two categories with different priors  
 
**How to generate random n dimensional data from two categories with different priors  
***[[Generating_random_data_with_controlled_prior_probabilities_slecture_ECE662S14_Gheith|Video slecture in English]] by Alex Gheith EMPTY QUESTION PAGE-SAMPLE CODE PAGE NEEDS TO BE EDITED SLIGHTLY
+
***[[Generating random data with controlled prior probabilities slecture ECE662S14 Gheith|Video slecture in English]] by Alex Gheith EMPTY QUESTION PAGE-SAMPLE CODE PAGE NEEDS TO BE EDITED SLIGHTLY  
 
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Kim ECE662 Spring 2014|Video slecture in Korean ]], by Minwoong Kim <span style="color:GREEN">OK</span>  
 
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Kim ECE662 Spring 2014|Video slecture in Korean ]], by Minwoong Kim <span style="color:GREEN">OK</span>  
 
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014|Video slecture in Korean ]], by Hyun Dok Cho <span style="color:GREEN">OK</span>  
 
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014|Video slecture in Korean ]], by Hyun Dok Cho <span style="color:GREEN">OK</span>  
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*Slectures on Bayes Rule  
 
*Slectures on Bayes Rule  
 
**Bayes Rule in Layman's Terms  
 
**Bayes Rule in Layman's Terms  
***[[Introduction to Bayes' Rule|Video slecture in Spanish]] by Francis Phillip <span style="color:GREEN">OK</span>
+
***[[Introduction to Bayes' Rule|Video slecture in Spanish]] by Francis Phillip <span style="color:GREEN">OK</span>  
 
**Derivation of Bayes Rule  
 
**Derivation of Bayes Rule  
***[[Derivation of Bayes rule Anonymous7|Text slecture in English]] By Anonymous7 <span style="color:GREEN">OK</span>
+
***[[Derivation of Bayes rule Anonymous7|Text slecture in English]] By Anonymous7 <span style="color:GREEN">OK</span>  
 
***[[From Bayes Theorem to Pattern Recognition via Bayes Rule|Text slecture in English]] by [http://varunvasudevan.com/ Varun Vasudevan] <span style="color:GREEN">OK</span>  
 
***[[From Bayes Theorem to Pattern Recognition via Bayes Rule|Text slecture in English]] by [http://varunvasudevan.com/ Varun Vasudevan] <span style="color:GREEN">OK</span>  
 
***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani <span style="color:GREEN">OK</span>  
 
***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani <span style="color:GREEN">OK</span>  
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**Optimality of Bayes Rule  
 
**Optimality of Bayes Rule  
 
***[[Slecture optimality bayes decision rule michaux ECE662S14|Video slecture in English]] by Aaron Michaux <span style="color:GREEN">OK</span>  
 
***[[Slecture optimality bayes decision rule michaux ECE662S14|Video slecture in English]] by Aaron Michaux <span style="color:GREEN">OK</span>  
***[[Kjw810313|Video slecture in Korean]] by Jeong-wan Kim <span style="color:GREEN">OK</span>
+
***[[Kjw810313|Video slecture in Korean]] by Jeong-wan Kim <span style="color:GREEN">OK</span>  
 
**Upper Bounds for Bayes Error  
 
**Upper Bounds for Bayes Error  
 
***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda QUESTION PAGE NEEDS SLIGHT EDITING TO FOLLOW FORMAT OF OTHERS  
 
***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda QUESTION PAGE NEEDS SLIGHT EDITING TO FOLLOW FORMAT OF OTHERS  
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***[[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  
***[[Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014|Video slectures in English]], by Andy Park <span style="color:GREEN">OK</span>
+
***[[Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014|Video slectures in English]], by Andy Park <span style="color:GREEN">OK</span>  
***[[Ness_slecture_2014| Text slecture in Chinese]] by Robert Ness <span style="color:GREEN">OK</span>
+
***[[Ness slecture 2014|Text slecture in Chinese]] by Robert Ness <span style="color:GREEN">OK</span>  
 
***[[Bayes Rule Minimize Risk Dennis Lee|Text slecture in English]] by Dennis Lee <span style="color:GREEN">OK</span>  
 
***[[Bayes Rule Minimize Risk Dennis Lee|Text slecture in English]] by Dennis Lee <span style="color:GREEN">OK</span>  
 
**Bayes Rule for Normally Distributed Features  
 
**Bayes Rule for Normally Distributed Features  
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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  
+
***[[MLEforGMM|Text slecture in English]] by Wen Yi  
***[[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)  
***[[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:GREEN">OK</span>
+
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang <span style="color:GREEN">OK</span>  
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang <span style="color:GREEN">OK</span>
+
***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang <span style="color:GREEN">OK</span>  
 
**Introduction to Local density Estimation Techniques (so-called "non-parametric")  
 
**Introduction to Local density Estimation Techniques (so-called "non-parametric")  
***[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span>
+
***[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span>  
 
***[[Slecture Introduction local density estimation methods ECE662 Spring2014 Aziza|Video slecture in Russian]] by Aziza Satkhozhina PLEASE EDIT QUESTION PAGE SO IT LOOKS LIKE THE OTHERS  
 
***[[Slecture Introduction local density estimation methods ECE662 Spring2014 Aziza|Video slecture in Russian]] by Aziza Satkhozhina PLEASE EDIT QUESTION PAGE SO IT LOOKS LIKE THE OTHERS  
 
***[[Introduction to local density estimation methods ECE662 Spring2014 Nusaybah|Video slecture in English]] by Nusaybah Abu-Mulaweh  
 
***[[Introduction to local density estimation methods ECE662 Spring2014 Nusaybah|Video slecture in English]] by Nusaybah Abu-Mulaweh  
***[[Intro local non parametric density estimation methods ECE662 Spring2014 Yuan|Video slecture in English]] by Chenxi Yuan <span style="color:GREEN">OK</span>
+
***[[Intro local non parametric density estimation methods ECE662 Spring2014 Yuan|Video slecture in English]] by Chenxi Yuan <span style="color:GREEN">OK</span>  
 
**Density Estimation with Parzen Windows  
 
**Density Estimation with Parzen Windows  
***[[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>  
***[[Knearestneighbors|Text slecture in English]] by Dan Barrett QUESTION PAGE NEEDS TO BE EDITED SO IT LOOKS LIKE THE OTHERS
+
***[[Knearestneighbors|Text slecture in English]] by Dan Barrett QUESTION PAGE NEEDS TO BE EDITED SO IT LOOKS LIKE THE OTHERS  
***[[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:GREEN">OK</span>
+
***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon <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>
 
***[[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)  
**[[Least Squares Support Vector Machine and its Applications in Solving Linear Regression Problems]] by Xing Liu  
+
**[[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
  

Revision as of 13:31, 5 May 2014



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


                Welcome to ECE662!

PLEASE FILL OUT THE COURSE EVALUATION AT WWW.PURDUE.EDU/EVAL

YOUR FEEDBACK IS TRULY APPRECIATED. THANKS FOR YOUR TIME. -PROF MIMI


Course Information

Instructor:

Office: MSEE342
Office hours
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Lecture:

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

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Prof. Math. Ohio State and Associate Dean
Outstanding Alumnus Purdue Math 2008

Jeff McNeal