# 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*