Online learning in the manifold of low-rank matrices

Keyphrases

• Online Learning 100%
• Low-rank Matrix 100%
• SLORETA 100%
• Runtime Complexity 66%
• Recent Advances 33%
• Similarity Measure 33%
• Learning Model 33%
• Matrix Form 33%
• Passive-aggressive 33%
• Memory Requirements 33%
• Singular Value Decomposition 33%
• Classification Task 33%
• Full Model 33%
• Rank-one 33%
• High-dimensional Vectors 33%
• Projection Operator 33%
• Memory Complexity 33%
• Low-rank Constraint 33%
• Factor Model 33%
• Factored Representation 33%
• Multi-label Classification 33%
• Mean Average Precision 33%
• Naive Approach 33%
• Gradient Step 33%
• Selected Features 33%
• Optimization on Manifolds 33%
• Learning Procedure 33%

Computer Science

• Online Learning 100%
• Image Classification 50%
• Regularization 50%
• Memory Requirement 50%
• Singular Value 50%
• Classification Task 50%
• Dimensional Vector 50%
• Naïve Approach 50%
• Mean Average Precision 50%
• Runtime Complexity 50%

Mathematics

• Matrix (Mathematics) 100%
• Manifold 100%
• Retraction 60%
• Approximates 20%
• Dimensional Vector 20%
• Regularization 20%
• Similarity Measure 20%
• Singular Value Decomposition 20%
• Projection Operator 20%