Generalized Embedding Regression: A Framework for Supervised Feature Extraction

Computer Science

• Approximate Solution 50%
• Experimental Result 50%
• Feature Extraction 100%
• Good Performance 50%
• Interpretability 50%
• Iterative Algorithm 50%
• Laplace Operator 50%
• Objective Function 50%
• Optimization Problem 50%
• Regularization Term 50%

Keyphrases

• Discriminative Projection 16%
• Inter-class Similarity 16%
• Jointly Sparse 100%
• Sparse Representation Learning 33%
• Supervised Feature Extraction 100%