Discriminant analysis: A least squares approximation view

Keyphrases

• Linear Discriminant Analysis 100%
• Discriminant Analysis 100%
• Least Squares Approximation 100%
• Small Sample Size Problem 50%
• Regularization Networks 37%
• Discriminant Learning 25%
• Learning Analysis 25%
• Regularization Term 25%
• Well-posed 25%
• Ill-posed Problem 25%
• Support Vector Machine 12%
• Fisher Criterion 12%
• Direct Connection 12%
• Small Sample Size 12%
• Learning Algorithm 12%
• Learning Theory 12%
• Statistical Learning Theory 12%
• Problem-based 12%
• Facial Recognition 12%
• Selected Features 12%
• Number of Dimensions 12%
• Network Algorithms 12%
• Number of Training Samples 12%
• Approximation Problem 12%

Computer Science

• Discriminant Analysis 100%
• Linear Discriminant Analysis 100%
• Least Squares Method 100%
• Square Approximation 100%
• small sample size problem 50%
• Regularization 37%
• Regularization Term 25%
• Experimental Result 12%
• Support Vector Machine 12%
• Training Sample 12%
• Direct Connection 12%
• Face Recognition 12%
• Learning Algorithm 12%
• Statistical Learning Theory 12%
• Modified Version 12%
• Small Sample Size 12%
• Network Algorithm 12%
• Approximation Problem 12%

Mathematics

• Discriminant Analysis 100%
• Least Squares Approximation 100%
• Regularization 50%
• Posed Problem 20%
• Support Vector Machine 10%
• Training Sample 10%
• Approximation Problem 10%