Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions

Keyphrases

• Topology-Preserving 100%
• Semi-supervised Metric Learning 100%
• Learning Methods 50%
• Low Density 50%
• Regularizer 50%
• Large Margin 50%
• Triplet Constraint 50%
• Local Topology 50%
• Distance Metric Learning 25%
• Publicly Available 25%
• Pattern Recognition 25%
• Information Density 25%
• Learning Algorithm 25%
• Unlabeled Samples 25%
• Distance Metric 25%
• Local Neighborhood 25%
• Labeled Sample 25%
• Manifold Information 25%
• Local Smoothness 25%
• Hinge Loss 25%
• Topology Constraint 25%

Computer Science

• Distance Metric 100%
• Experimental Result 50%
• Learning Algorithm 50%
• Unlabeled Sample 50%
• Pattern Recognition 50%