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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_slecture_Minwoong_Kim_ECE662_Spring_2014|How to generate n-D Gaussian data in the two category case ]], by Minwoong Kim | ||
**[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] | **[[PCA|Principal Component Analysis (PCA)]], by [http://web.ics.purdue.edu/~zhou338/ Tian Zhou] | ||
*Slectures on Bayes Rule | *Slectures on Bayes Rule | ||
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**[[Upper_Bounds_for_Bayes_Error|Upper Bounds for Bayes Error]] by G. M. Dilshan Godaliyadda | **[[Upper_Bounds_for_Bayes_Error|Upper Bounds for Bayes Error]] by G. M. Dilshan Godaliyadda | ||
**Link to slecture (use a descriptive title) | **Link to slecture (use a descriptive title) | ||
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*Slectures on Density Estimation | *Slectures on Density Estimation | ||
**[[mle_tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa | **[[mle_tutorial|Tutorial on Maximum Likelihood Estimates]] by Sudhir Kylasa |
Revision as of 05:34, 9 April 2014
Contents
ECE662: Statistical Pattern Recognition and Decision Making Processes, Spring 2014 (cross-listed with CS662)
Welcome to ECE662!
- When you see the peer review of your work in your dropbox, do not click "mark as read". If you do, then the review will disappear.
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
- Slectures on Bayes Rule
- From Bayes' Theorem to Pattern Recognition via Bayes' Rule by Varun Vasudevan
- Upper Bounds for Bayes Error by G. M. Dilshan Godaliyadda
- Link to slecture (use a descriptive title)
- Slectures on Density Estimation
- Tutorial on Maximum Likelihood Estimates by Sudhir Kylasa
- Slectures on Linear Classifiers
Peer Reviews
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