Pages that link to "Item:Q1010095"

The following pages link to An efficient discriminant-based solution for small sample size problem (Q1010095):

Displaying 14 items.

• The small sample size problem of ICA: a comparative study and analysis (Q454441) (← links)
• Heteroscedastic linear feature extraction based on sufficiency conditions (Q645911) (← links)
• Face recognition using discriminant locality preserving projections based on maximum margin criterion (Q991979) (← links)
• An efficient algorithm to solve the small sample size problem for LDA (Q1887709) (← links)
• Modified Mahalanobis-Taguchi system based on proper orthogonal decomposition for high-dimensional-small-sample-size data classification (Q1980077) (← links)
• Brain-computer interfaces for human gait restoration (Q2138941) (← links)
• Geometric distribution weight information modeled using radial basis function with fractional order for linear discriminant analysis method (Q2248469) (← links)
• Overfitting in linear feature extraction for classification of high-dimensional image data (Q2416963) (← links)
• Classification in an informative sample subspace (Q2462586) (← links)
• Kernel quadratic discriminant analysis for small sample size problem (Q2476563) (← links)
• Semi-supervised discriminant analysis method for face recognition (Q2788482) (← links)
• (Q4430562) (← links)
• Minimum Sample Size Considerations for Two-Group Linear and Quadratic Discriminant Analysis with Rare Populations (Q5418901) (← links)
• Functional classwise principal component analysis: a classification framework for functional data analysis (Q6487746) (← links)