STAT SEMINAR :: Manifold Based Dimension Reduction and Statistical Properties

Event Details
  • Date/Time:
    • Thursday March 30, 2006 - Wednesday March 29, 2006
      10:00 am - 11:00 pm
  • Location: Executive Room #228
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher
404.385.3102
Summaries

Summary Sentence: STAT SEMINAR :: Manifold Based Dimension Reduction and Statistical Properties

Full Summary: STAT SEMINAR :: Manifold Based Dimension Reduction and Statistical Properties

Manifold learning has attracted a lot of attention in both machine learning and statistics communities. I will give an overview and present many interesting applications. An appealing feature of many manifold learning algorithms is that their solutions correspond to linear invariant subspaces. Hence mathematical analysis can be implemented on the behavior of their solutions in a relatively common framework. I will describe some recent results regarding the worst case performance of manifold learning algorithms under additive noises.

Additional Information

In Campus Calendar
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Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Seminar/Lecture/Colloquium
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Status
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:36am
  • Last Updated: Oct 7, 2016 - 9:52pm