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***[[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 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>
 
***[[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 PAGE NEEDS FORMATTING (FOLLOW TEMPLATE) AND QUESTION PAGE => I fixed. Could you check it again?
+
***[[The principles for how to generate random samples from a Gaussian distribution|Text slecture in English]] by Joonsoo Kim QUESTION PAGE NEEDS FORMATTING TO LOOK LIKE THE OTHER ONES
 
***[[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>  
 
***[[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)  
 
**Principal Component Analysis (PCA)  

Revision as of 17:42, 2 May 2014



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


Peer Reviews


Discussion

Feel free to use the space below for discussion, or create a page for discussion and link it below.


Back to main ECE662 page

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva