Gaussian Processes for Principal Component Analysis

author: Colin Fyfe, University of Paisley
published: Feb. 25, 2007,   recorded: June 2006,   views: 6939

See Also:

Download slides icon Download slides: gpip06_fyfe_gppca_01.ppt (164.0 KB)

Help icon Streaming Video Help

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.


We show how the supervised method of Gaussian Processes may be used for Principal Component Analysis using two intuitions about the nature of the ¯rst principal component ¯lters.

Link this page

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

Write your own review or comment:

make sure you have javascript enabled or clear this field: