Difference between revisions of "2014 Spring ECE 662 Boutin" - Rhea

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 == &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; '''Welcome to ECE662!'''  ==
+* The cleaned up version of the slectures is [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|here]].
-*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
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 == [https://www.projectrhea.org/learning/slectures.php Slectures]  ==
+The cleaned up version of these slectures is [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|HERE]]
 Please use this [[Slecture template ECE662S14|template for text slectures]] or this [[Slecture template video ECE662S14|template for video slectures]]
 *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]] <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|How to generate n-D Gaussian data in the two category case ]], by Minwoong Kim (in Korean)
+**How to generate random n dimensional data from two categories with different priors
-**[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou]
+***[[Generating random data with controlled prior probabilities slecture ECE662S14 Gheith|Video slecture in English]] by Alex Gheith <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>
+***[[The principles for how to generate random samples from a Gaussian distribution|Text slecture in English]] by Joonsoo Kim <span style="color:GREEN">OK</span>
+***[[Generation of N-dimensional normally distributed random numbers from two categories with different priors|Text slecture in English]] by Jonghoon Jin <span style="color:GREEN">OK</span>
+**Principal Component Analysis (PCA)
+***[[PCA|Text slecture in English]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] <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>
+***[[Pca khalid|Video slecture in English]], by Khalid Tahboub <span style="color:GREEN" />
 *Slectures on Curse of Dimensionality
-**[[Curse of Dimensionality|Text slecture in English]], and [[Curse of Dimensionality Chinese|in Chinese]] by Haonan Yu
+**[[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
 *Slectures on Bayes Rule
 **Bayes Rule in Layman's Terms
-***Link to page here
+***[[Introduction to Bayes' Rule|Video slecture in Spanish]] by Francis Phillip <span style="color:GREEN">OK</span>
 **Derivation of Bayes Rule
-***[[From Bayes Theorem to Pattern Recognition via Bayes Rule|Text slecture in English]] by [http://varunvasudevan.com/ Varun Vasudevan]<br>
+***[[Derivation of Bayes rule Anonymous7|Text slecture in English]] By Anonymous7 <span style="color:GREEN">OK</span>
-***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani
+***[[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 Bayes Rule slecture ECE662 Spring2014 Kim|Video slecture in English]] by Jieun Kim
+***[[Derivation of Bayes' Rule from Bayes' Theorem|Video slecture in English]] by Nadra Guizani <span style="color:GREEN">OK</span>
-***[[Derivation of Bayes rule In Greek]] by Stylianos Chatzidakis
+***[[Derivation Bayes Rule slecture ECE662 Spring2014 Kim|Video slecture in English]] by Jieun Kim <span style="color:GREEN">OK</span>
-**Bayes Rule for Normally distributed Features
+***[[Derivation of Bayes rule In Greek|Text slecture in Greek]] by Stylianos Chatzidakis <span style="color:GREEN">OK</span>
-***[[Bayes Rule for 1-dimensional and N-dimensional feature spaces|Text slecture in English]] by Jihwan Lee
+***[[Derivation of Bayes rule In Chinese|Text slecture in Chinese]] by Weibao Wang <span style="color:GREEN">OK</span>
+**Optimality of Bayes Rule
+***[[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>
 **Upper Bounds for Bayes Error
 ***[[Upper Bounds for Bayes Error|Text slecture in English]] by G. M. Dilshan Godaliyadda
-***[[Upper Bound for Bayes error|Text slecture in English]] by Yihan Ding PLEASE FOLLOW TEMPLATE
+***[[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
 **Bayes Rule to Minimize Risk
-***[[Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014|Bayes Rule to minimize risk]], by Andy Park
+***[[Slecture Bayes rule to minimize risk Andy Park ECE662 Spring 2014|Video slectures in English]], by Andy Park <span style="color:GREEN">OK</span>
-***[[Bayes Rule Minimize Risk Dennis Lee|Bayes Rule for Minimizing Risk]] by Dennis Lee
+***[[Ness slecture 2014|Text slecture in Chinese]] by Robert Ness <span style="color:GREEN">OK</span>
-**[[Bayes rule in practice]] by Lu Wang
+***[[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
+***[[Discussion about Discriminant Functions for the Multivariate Normal Density|Text slecture in English]] by Yanzhe Cui
+***[[Bayes Rule for 1-dimensional and N-dimensional feature spaces|Text slecture in English]] by Jihwan Lee <span style="color:GREEN">OK</span>
+**Bayes rule in practice
+***[[Bayes rule in practice|Text slecture in English]] by Lu Wang <span style="color:GREEN">OK</span>
+***[[662slecture tang|Text slecture in English]] by Chuohao Tang <span style="color:GREEN">OK</span>
 *Slectures on Neyman-Pearson test and ROC curves
-**[[Neyman-Pearson Lemma and Receiver Operating Characteristic Curve]] 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] <span style="color:GREEN">OK</span>
+**[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun <span style="color:GREEN">OK</span>
 *Slectures on Density Estimation
 **Maximum Likelihood Estimation (MLE)
-***[[Mle tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa
+***[[Mle tutorial|Text slecture in English]] by Sudhir Kylasa <span style="color:GREEN">OK</span>
-***[[Maximum Likelihood Estimation Analysis for various Probability Distributions]] by Hariharan Seshadri
+***[[Maximum Likelihood Estimation Analysis for various Probability Distributions|Text slecture in English]] by Hariharan Seshadri <span style="color:GREEN">OK</span>
-***[[Expected Value and Deviation of Maximum LIkelihood Estimates over Multiple Trials]] by Spencer Carver
+***[[Video slecture in English: Introduction to Maximum Likelihood Estimation|Video slecture in English]] by Anantha Raghuraman <span style="color:GREEN">OK</span>
-***[[Deviation of Maximum Likelihood Estimators and Basic Properties of ML Method]] by Lu Zhang
+***[[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>
-***[[Introduction to Maximum likelihood estimate]] by Anantha Raghuraman
+***[[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>
+***[[MLEforGMM|Text slecture in English]] by Wen Yi
+***[[ECE662Selecture zhenpengMLE|Text slecture in English]] by Zhenpeng Zhao
 **Bayesian Estimation (BPE)
-***[https://kiwi.ecn.purdue.edu/rhea/index.php/Bayes_Parameter_Estimation Bayes Parameter Estimation (BPE) tutorial] by Haiguang Wen<br>
+***[[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
+***[[Bayes Parameter Estimation with examples|Text slecture in English]] by Yu Wang
 **Introduction to Local density Estimation Techniques (so-called "non-parametric")
-***[[Introduction to local density estimation methods|Introduction to local (nonparametric) density estimation methods]] by [https://www.youtube.com/watch?v=WwPpsLjUsfQ Yu Liu]
+***[[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
+***[[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>
 **Density Estimation with Parzen Windows
-***[[ParzenWindow|Parzen window method with cubic window - Text slecture in English]] by Chiho Choi
+***[[ParzenWindow|Text slecture in English]] by Chiho Choi <span style="color:GREEN">OK</span>
-***Link here
+***[[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>
 **Density Estimation with K-Nearest Neighbors (KNN)
-***Link here
+***[[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
+***[[K-Nearest Neighbors Density Estimation|Video slecture in English]] by Qi Wang <span style="color:GREEN">OK</span>
 **The Nearest Neighbor Decision Rule
 ***[[Estimation Using Nearest Neighbor|Text slecture in English]] by Sang Ho Yoon
-*Slectures on Linear Classifiers
+***[[Slecture from KNN to nearest neighbor|Text slecture in English]] by Jonathan Manring <span style="color:GREEN">OK</span>
+*Slectures on Linear Classifiers
+**[[JMSLinearClassifierSlecture|Text slecture in English]] by John Mulcahy-Stanislawczyk
+**[[CBR_logistic_regression|Text slecture in English]] by Borui Chen
+*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
+**[[Support Vector Machine|Video slecture in English]] by Tao Jiang
+*Slectures on Clustering Algorithms (supplemental material)
+**[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan
 ----

Difference between revisions of "2014 Spring ECE 662 Boutin" - Rhea

Latest revision as of 19:50, 2 May 2016

Contents

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

Welcome to ECE662!

Course Information

Slectures

Peer Reviews

Discussion

Alumni Liaison