1. Introduction

2. Unified Framework for Spectral Methods

3. Background on Semidefinite Programming

4. Kernel Learning for Transduction

5. Maximum Variance Unfolding (or Semidefinite Embedding)

6. Supervised Maximum Variance Unfolding

7. Out-of-sample Extension of MVU

8. Other Variants of Maximum Variance Unfolding

9. Conclusion