Learning to Optimize on Riemannian Manifolds

Computer Science

• Component Analysis 100%
• Principal Components 100%
• Experimental Result 50%
• Optimization Problem 50%
• Computational Load 50%
• Computational Cost 50%
• Mathematical Optimization 50%
• Image Classification 50%
• Face Recognition 50%
• Memory Footprint 50%
• Few-Shot Learning 50%
• Expert Knowledge 50%
• Positive Definite 50%
• Gaussian Mixture Model 50%
• Person Re-Identification 50%
• Underlying Data 50%
• Human Involvement 50%
• Recurrent Network 50%

Mathematics

• Stiefel Manifold 33%