Skip to main content
15 events
when toggle format what by license comment
S May 1, 2014 at 11:44 history suggested J W
Added computational topology tag, as question (and answers) involve aspects of this subject.
May 1, 2014 at 11:26 review Suggested edits
S May 1, 2014 at 11:44
Apr 10, 2011 at 5:26 answer added Tarun Chitra timeline score: 5
Apr 10, 2011 at 1:17 answer added Chirag Lakhani timeline score: 5
Mar 24, 2011 at 15:54 answer added JSE timeline score: 4
Mar 10, 2011 at 14:06 history edited Chirag Lakhani CC BY-SA 2.5
added 104 characters in body
Mar 10, 2011 at 12:09 comment added Simon Lyons Partha Niyogi wrote a number of papers about using the graph laplacian of a data set for learning purposes. In the limit of infinite data living on a manifold, this converges to the Laplace-Beltrami operator.
Mar 10, 2011 at 7:09 comment added Sean Tilson Please edit your comment about what manifold learning is into the body of the question.
Mar 9, 2011 at 23:22 history edited Chirag Lakhani CC BY-SA 2.5
deleted 25 characters in body
Mar 9, 2011 at 22:51 history edited Chirag Lakhani CC BY-SA 2.5
added 416 characters in body
Mar 9, 2011 at 20:16 comment added Joseph O'Rourke The Wikipedia article (en.wikipedia.org/wiki/Manifold_learning) contains 25 references and 9 external links. Perhaps you could use this resource to sharpen your question?
Mar 9, 2011 at 18:48 comment added Sam Isaacson Have you looked at the surveys by Carlsson or Harer and Edelsbrunner? There are a lot of resources at comptop.stanford.edu
Mar 9, 2011 at 18:19 comment added Chirag Lakhani Sorry I should be more clear about manifold learning. I mean the idea of studying high dimensional data using techniques from geometry.
Mar 9, 2011 at 18:09 answer added Stefan Waldmann timeline score: 0
Mar 9, 2011 at 17:59 history asked Chirag Lakhani CC BY-SA 2.5