A majorization-minimization approach to the sparse generalized eigenvalue problem

Mathematics

• Eigenvalue Problem 100%
• Majorization 100%
• Discriminant Analysis 22%
• Eigenvalue 22%
• Cardinality 22%
• Subsequence 22%
• Principal Component Analysis 22%
• Canonical Correlation Analysis 22%
• Convex Programming 11%
• Convex Function 11%
• Stationary Point 11%
• Convergence Behavior 11%
• Log Likelihood 11%
• Statistical Data Analysis 11%

Computer Science

• Eigenvalue 100%
• Approximation (Algorithm) 18%
• Component Analysis 18%
• Principal Components 18%
• Cardinality 18%
• Discriminant Analysis 18%
• Correlation Analysis 18%
• Convergence Behavior 9%
• Convex Function 9%
• Efficient Algorithm 9%
• Statistical Data 9%
• Stationary Point 9%
• Global Convergence 9%
• Sparse Solution 9%
• Algorithm Converges 9%

Keyphrases

• Sparse Generalized Eigenvalue Problem 100%
• Fisher Discriminant Analysis 28%
• Random Initialization 14%
• Negative Log-likelihood 14%
• Student-t Distribution 14%
• Sparse Canonical Correlation Analysis 14%
• Competitive Algorithm 14%