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]].
-*The cleaned up version of the slectures is [[2014 Spring ECE 662 Boutin Statistical Pattern recognition slectures|here]].
-*Please fill this [https://docs.google.com/forms/d/1aYxQF5iEbJrd2OBVVxgABMqnlkOtN--r0lxCGpsX-Vw/viewform 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.
 </div>
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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]]
-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]]
@@ Line 43: / Line 40: @@
 ***[[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)
@@ Line 49: / Line 46: @@
 ***[[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 &lt;span style="color:GREEN" /&gt;
+***[[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 USE SAME COMMENT PAGE FOR BOTH ENGLISH AND CHINESE VERSION
@@ Line 66: / Line 63: @@
 ***[[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 <span style="color:RED">MATERIAL PLAGIARIZED. NOT EVEN A CITATION IS GIVEN</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
@@ Line 81: / Line 77: @@
 *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] <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><br>
+**[[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)
@@ Line 95: / Line 91: @@
 ***[[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|Text slecture in English]] by Yu Liu <span style="color:GREEN">OK</span>
@@ Line 110: / Line 106: @@
 ***[[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
 ***[[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
+**[[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

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