Time: Friday 10am

Topic: manifold learning basics and applications

讨论简要说明

1. “Manifold Learning”. Statistical Learning 
and Pattern Analysis for Image and Video Processing, Chapter 4,Nanning Zheng and Jianru Xue (A1)
2. Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. (B1)
3. Metric Learning on Manifolds (B2)
4. Flows for simultaneous manifold learning and density estimation (B3)

• The mathematical foundations of mannifold learning
• Grassmann manifold:
  • Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning,
  • A grassmann manifold-based domain adaptation approach
  • Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian
• More to add..