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*Slectures on Probability and Statistics  
 
*Slectures on Probability and Statistics  
 
**[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]]  
 
**[[ECE662 Whitening and Coloring Transforms S14 MH|Whitening and Coloring Transforms]], by [[User:Mhossain|Maliha Hossain]]  
**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  
 
***[[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  
 
***[[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  
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014|Video slecture in English ]], by Hyun Dok Cho
+
***[[How to generate random n dimensional data from two categories with different priors slecture Minwoong Cho ECE662 Spring 2014|Video slecture in English ]], by Hyun Dok Cho  
**Principal Component Analysis (PCA)
+
**Principal Component Analysis (PCA)  
 
***[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou]  
 
***[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou]  
***[[PCA_Theory_Examples|Text slecture in English]], by Sujin Jang
+
***[[PCA Theory Examples|Text slecture in English]], by Sujin Jang  
 
***[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh  
 
***[[Kernel PCA|Video slecture in English, and Chinese]], by Tsung Tai Yeh  
 
*Slectures on Curse of Dimensionality  
 
*Slectures on Curse of Dimensionality  
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***[[Derivation Bayes Rule slecture ECE662 Spring2014 Kim|Video slecture in English]] by Jieun Kim  
 
***[[Derivation Bayes Rule slecture ECE662 Spring2014 Kim|Video slecture in English]] by Jieun Kim  
 
***[[Derivation of Bayes rule In Greek|Text slecture in Greek]] by Stylianos Chatzidakis  
 
***[[Derivation of Bayes rule In Greek|Text slecture in Greek]] by Stylianos Chatzidakis  
***[[Derivation of Bayes rule In Chinese|Text slecture in Chinese]] by Weibao Wang
+
***[[Derivation of Bayes rule In Chinese|Text slecture in Chinese]] by Weibao Wang  
 
**Bayes Rule for Normally distributed Features  
 
**Bayes Rule for Normally distributed Features  
 
***[[Bayes Rule for 1-dimensional and N-dimensional feature spaces|Text slecture in English]] by Jihwan Lee  
 
***[[Bayes Rule for 1-dimensional and N-dimensional feature spaces|Text slecture in English]] by Jihwan Lee  
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**[[Bayes rule in practice]] by Lu Wang  
 
**[[Bayes rule in practice]] by Lu Wang  
 
*Slectures on Neyman-Pearson test and ROC curves  
 
*Slectures on Neyman-Pearson test and ROC curves  
**[[Neyman-Pearson_Lemma_and_Receiver_Operating_Characteristic_Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee]  
+
**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve|Text slecture in English]] by [https://engineering.purdue.edu/~lee714/ Soonam Lee]  
**[[ROC_curve_analysis_slecture_ECE662_Spring0214_Sun|Video slecture in English]] by Jianxin Sun
+
**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun  
 +
** [[ECE662_roc|Text slecture in English]] by Hao Lin]
 
*Slectures on Density Estimation  
 
*Slectures on Density Estimation  
 
**Maximum Likelihood Estimation (MLE)  
 
**Maximum Likelihood Estimation (MLE)  
 
***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa  
 
***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa  
***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri
+
***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri  
***[[Video slecture in English: Introduction to Maximum Likelihood Estimation|Video slecture in English]] by Anantha Raghuraman
+
***[[Video slecture in English: Introduction to Maximum Likelihood Estimation|Video slecture in English]] by Anantha Raghuraman  
 
***[[Expected Value and Deviation of Maximum LIkelihood Estimates over Multiple Trials]] by Spencer Carver  
 
***[[Expected Value and Deviation of Maximum LIkelihood Estimates over Multiple Trials]] by Spencer Carver  
 
***[[Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method|Text slecture in English]] by Lu Zhang  
 
***[[Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method|Text slecture in English]] by Lu Zhang  
***[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park
+
***[[SlectureKeehwanECE662Spring14|Video slecture in English]] by Keehwan Park  
 
**Bayesian Estimation (BPE)  
 
**Bayesian Estimation (BPE)  
***[[Bayes_Parameter_Estimation|Text slecture in English]] by Haiguang Wen  
+
***[[Bayes Parameter Estimation|Text slecture in English]] by Haiguang Wen  
 
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang  
 
***[[Bayersian Parameter Estimation: Gaussian Case|Text slecture in English]], by Shaobo Fang  
 
**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  
 
***[[Introduction to local density estimation methods|Text slecture in English]] by Yu Liu  
***[[Slecture_Introduction_local_density_estimation_methods_ECE662_Spring2014_Aziza|Video slecture in Russian]] by Aziza Satkhozhina
+
***[[Slecture Introduction local density estimation methods ECE662 Spring2014 Aziza|Video slecture in Russian]] by Aziza Satkhozhina  
 
**Density Estimation with Parzen Windows  
 
**Density Estimation with Parzen Windows  
***[[ParzenWindow|Text slecture in English]] by Chiho Choi
+
***[[ParzenWindow|Text slecture in English]] by Chiho Choi  
 
***[[Parzen Window Density Estimation|Text slecture in English]] by Ben Foster  
 
***[[Parzen Window Density Estimation|Text slecture in English]] by Ben Foster  
***[[Parzen Windows|Text slecture in English]] by Abdullah Alshaibani
+
***[[Parzen Windows|Text slecture in English]] by Abdullah Alshaibani  
 
**Density Estimation with K-Nearest Neighbors (KNN)  
 
**Density Estimation with K-Nearest Neighbors (KNN)  
 
***Link here  
 
***Link here  
 
**The Nearest Neighbor Decision Rule  
 
**The Nearest Neighbor Decision Rule  
 
***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon  
 
***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon  
*Slectures on Linear Classifiers
+
*Slectures on Linear Classifiers  
**Link here
+
**Link here  
*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  
+
**[[Least Squares Support Vector Machine and its Applications in Solving Linear Regression Problems]] by Xing Liu
 +
 
 
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Revision as of 10:45, 30 April 2014



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


                Welcome to ECE662!

  • HW2 grades have been entered into the "instructor's Comment" box.
  • Reviews for HW2 are activated. Please complete your review before class on Tuesday April 29.
  • Does anybody in the class speak Spanish (besides Francis)? If so, please send me an email. -pm
  • Does anybody in the class speak Russian (besides Aziza)? If so, please send me an email. -pm

Course Information

Instructor:

Office: MSEE342
Office hours
Assignment Drop Box

Lecture:

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

Slectures

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Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett