Graphs Regularization for Data Sets and Images: Filtering and Semi-Supervised Classification

Posted in Science on October 13, 2008


Graphs Regularization for Data Sets and Images: Filtering and Semi-Supervised Classification

Lecture slides:

  • Graphs Regularization for Data Sets and Images: Filtering and Semi-Supervised Classification
  • Outline
  • What are the Main Ideas?
  • Graphs and Regularization Framework
  • What is a Weighted Graph?
  • Why Use Graph Representation?
  • Operators?
  • Weighted Graph Based Regularization?
  • Graph Based Regularization is Not New. . .
  • Applications
  • Filtering by Regularization
  • Image Filtering: Classical Example
  • Data Set Filtering: A Toy Example
  • Data Set Filtering: UCI Data Bases
  • Applications
  • Semi Supervised Classification by Regularization
  • The Two Moons Example
  • Image Semi Supervised Segmentation
  • Conclusion

Author: Vinh Thong Ta, Université De Caen

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Image Analysis