| Line 77: | Line 77: | ||
*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] <span style="color:GREEN">OK</span> | **[[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 | + | **[[ROC curve analysis slecture ECE662 Spring0214 Sun|Video slecture in English]] by Jianxin Sun <span style="color:GREEN">OK</span> |
**[[ECE662 roc|Text slecture in English]] by Hao Lin <span style="color:GREEN">OK</span> | **[[ECE662 roc|Text slecture in English]] by Hao Lin <span style="color:GREEN">OK</span> | ||
*Slectures on Density Estimation | *Slectures on Density Estimation | ||
Revision as of 17:01, 2 May 2014
Contents
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
- 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
- Slectures on Probability and Statistics
- Whitening and Coloring Transforms, by Maliha Hossain OK
- How to generate random n dimensional data from two categories with different priors
- Video slecture in Korean , by Minwoong Kim OK
- Video slecture in Korean , by Hyun Dok Cho OK
- Text slecture in English by Joonsoo Kim QUESTION PAGE NEEDS FORMATTING TO LOOK LIKE THE OTHER ONES
- Text slecture in English by Jonghoon Jin OK
- Principal Component Analysis (PCA)
- Text slecture in English, by Tian Zhou OK
- Text slecture in English, by Sujin Jang OK
- Video slecture in English, and Chinese, by Tsung Tai Yeh OK
- Slectures on Curse of Dimensionality
- Text slecture in English, and 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
- Video slecture in Spanish by Francis Phillip
- Derivation of Bayes Rule
- Text slecture in English By Anonymous7
- Text slecture in English by Varun Vasudevan OK
- Video slecture in English by Nadra Guizani OK
- Video slecture in English by Jieun Kim OK
- Text slecture in Greek by Stylianos Chatzidakis OK
- Text slecture in Chinese by Weibao Wang OK
- Optimality of Bayes Rule
- Video slecture in English by Aaron Michaux OK
- Video slecture in Korean by Jeong-wan Kim SLIGHT EDITS NEEDED; PROF MIMI NEEDS TO UPLOAD VIDEO ON YOUTUBE AND EMBED
- Upper Bounds for Bayes Error
- Text slecture in English by G. M. Dilshan Godaliyadda QUESTION PAGE NEEDS SLIGHT EDITING TO FOLLOW FORMAT OF OTHERS
- Text slecture in English by Yihan Ding OK
- Text slecture in English (includes the derivation of Chernoff Distance) by Jeehyun Choe OK
- Bayes Rule to Minimize Risk
- Video slectures in English, by Andy Park OK
- Text slecture in English by Dennis Lee OK
- Bayes Rule for Normally Distributed Features
- Text slecture in English by Yanzhe Cui QUESTION PAGE NEEDS TO BE FORMATTED TO LOOK LIKE THE OTHERS
- Text slecture in English by Jihwan Lee OK
- Bayes rule in practice
- Text slecture in English by Lu Wang OK
- Text slecture in English by Chuohao Tang OK
- Bayes Rule in Layman's Terms
- Slectures on Neyman-Pearson test and ROC curves
- Text slecture in English by Soonam Lee OK
- Video slecture in English by Jianxin Sun OK
- Text slecture in English by Hao Lin OK
- Slectures on Density Estimation
- Maximum Likelihood Estimation (MLE)
- Text slecture in English by Sudhir Kylasa
- Text slecture in English by Hariharan Seshadri
- Video slecture in English by Anantha Raghuraman
- Video slecture in English by Spencer Carver
- Text slecture in English by Lu Zhang
- Video slecture in English by Keehwan Park
- Text slecture in English by Wen Yi
- Text slecture in English by Zhenpeng Zhao
- Bayesian Estimation (BPE)
- Text slecture in English by Haiguang Wen
- Text slecture in English, by Shaobo Fang
- Text slecture in English by Yu Wang
- Introduction to Local density Estimation Techniques (so-called "non-parametric")
- Text slecture in English by Yu Liu
- Video slecture in Russian by Aziza Satkhozhina
- Video slecture in English by Nusaybah Abu-Mulaweh
- Video slecture in English by Chenxi Yuan EMPTY QUESTION PAGE
- Density Estimation with Parzen Windows
- Text slecture in English by Chiho Choi
- Text slecture in English by Ben Foster
- Text slecture in English by Abdullah Alshaibani OK
- Maximum Likelihood Estimation (MLE)
- Density Estimation with K-Nearest Neighbors (KNN)
- Text slecture in English by Raj Praveen Selvaraj
- Text slecture in English by Dan Barrett
- [[K-Nearest_Neighbors_Density_Estimation|Video slecture in English] by Qi Wang QUESTION PAGE NEEDS TO BE EDITED TO FOLLOW SAME FORMAT AS OTHERS
- The Nearest Neighbor Decision Rule
- Text slecture in English by Sang Ho Yoon
- Text slecture in English by Jonathan Manring OK
- Density Estimation with K-Nearest Neighbors (KNN)
- Slectures on Linear Classifiers
- Link here
- Slectures on Support Vector Machines (SVM)
Peer Reviews
- Instruction for peer reviewing HW1
- Instruction for peer reviewing HW2 (due before class on April 29)
Discussion
Feel free to use the space below for discussion, or create a page for discussion and link it below.
- Where to find data for HW1
- Possible Real-world data to use for class
- Programming help!
- New Discussion
