Independent Component Analysis

author: Jean-François Cardoso, ENST Paris
published: Feb. 25, 2007,   recorded: August 2003,   views: 5778
Categories

Slides

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 34:29
!NOW PLAYING
Watch Part 2
Part 2 42:46
!NOW PLAYING
Watch Part 3
Part 3 48:21
!NOW PLAYING
Watch Part 4
Part 4 44:24
!NOW PLAYING
Watch Part 5
Part 5 47:00
!NOW PLAYING
Watch Part 6
Part 6 43:59
!NOW PLAYING
Watch Part 7
Part 7 32:12
!NOW PLAYING
Watch Part 8
Part 8 42:06
!NOW PLAYING

Description

The course provides an introduction to independent component analysis and source separation. We start from simple statistical principles; examine connections to information theory and to sparse coding; we give an overview of available algorithmics; we also show how several key ideas of ICA are illuminated by information geometry.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Xiaopei wu, September 21, 2007 at 3:49 p.m.:

great!!!!


Comment2 Dattatreya, December 30, 2010 at 8:47 a.m.:

Drop these videos as sound quality is too bad to comprehend what is he saying

Write your own review or comment:

make sure you have javascript enabled or clear this field: