Learning a Mahalanobis metric from equivalence constraints

Computer Science

• Component Analysis 100%
• Equivalence Constraint 100%
• Side Information 60%
• maximum-likelihood 20%
• Learning Algorithm 20%
• Efficient Algorithm 20%
• Optimization Problem 20%
• Simple Algorithm 20%
• Likelihood Estimation 20%
• Linear Discriminant 20%
• Human Intervention 20%
• Dimensionality Reduction 20%
• Covariance Matrix 20%
• Gaussian Assumption 20%

Keyphrases

• Mahalanobis Metric 100%
• Main Component Analysis 100%
• Learning Algorithm 20%
• Dimensionality Reduction 20%
• Covariance Matrix 20%
• Algorithm Analysis 20%
• Maximum Likelihood Estimation 20%
• Optimization Problem 20%
• Information Theory 20%
• Improved Clustering 20%
• Fisher Linear Discriminant 20%
• Gaussian Assumption 20%
• Learning Metrics 20%
• Input Space 20%
• Human Intervention 20%

Mathematics

• Maximum Likelihood 100%