Low-rank decomposition meets kernel learning: A generalized Nyström method

Keyphrases

• Kernel Learning 100%
• Low-rank Decomposition 100%
• Nystrm Method 100%
• Kernel Matrix 50%
• Linear Time 25%
• Computational Cost 25%
• Label Information 25%
• Class Label 25%
• Generalization Performance 25%
• Learning Scenario 25%
• Kernel Methods 25%
• Matrix Decomposition 25%
• Learning Task 25%
• Semi-supervised Classification 25%
• Linear Space 25%
• Learning Approaches 25%
• Learning Objectives 25%
• Computing Task 25%
• Learning Techniques 25%
• Specific Learning 25%
• Task Dependency 25%
• Well-aligned 25%
• Learning Systems 25%
• Large Kernel 25%
• Low-rank Matrix Decomposition 25%
• Decomposition Learning 25%
• Partial Labels 25%
• Advanced Learning 25%
• Multiple Kernel Learning 25%
• Inductive Learning 25%
• Low-rank Factor 25%
• Matrix Kernel 25%

Computer Science

• Decomposition Matrix 100%
• Experimental Result 50%
• Learning System 50%
• Time Complexity 50%
• Generalization Performance 50%
• Computational Cost 50%
• Learning Approach 50%
• Kernel Method 50%
• Side Information 50%
• Learning Technique 50%
• Supervised Classification 50%
• Space Complexity 50%
• Learning Target 50%
• Multiple Kernel Learning 50%