The following pages link to Penalized discriminant analysis (Q1895345):
Displaying 50 items.
- Subclass graph embedding and a marginal Fisher analysis paradigm (Q1669635) (← links)
- Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis (Q1669702) (← links)
- Trace ratio criterion for feature extraction in classification (Q1719032) (← links)
- Robust sieve estimators for functional canonical correlation analysis (Q1733269) (← links)
- Linear dimension reduction in classification: adaptive procedure for optimum results (Q1761305) (← links)
- Flexible low-rank statistical modeling with missing data and side information (Q1799348) (← links)
- Functional linear model (Q1805953) (← links)
- On the distribution of the largest eigenvalue in principal components analysis (Q1848863) (← links)
- Semi-parametric classification of noisy curves (Q1856631) (← links)
- Structured penalties for functional linear models -- partially empirical eigenvectors for regression (Q1950819) (← links)
- Recursive non-parametric kernel classification rule estimation for independent functional data (Q1995821) (← links)
- Graphical tools for model-based mixture discriminant analysis (Q2009043) (← links)
- Dimension reduction for objects composed of vector sets (Q2012154) (← links)
- Functional data clustering by projection into latent generalized hyperbolic subspaces (Q2051583) (← links)
- Group variable selection via \(\ell_{p,0}\) regularization and application to optimal scoring (Q2185626) (← links)
- A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (Q2196123) (← links)
- A new distance with derivative information for functional \(k\)-means clustering algorithm (Q2198261) (← links)
- Generalized canonical correlation analysis for classification (Q2252903) (← links)
- Functional data classification: a wavelet approach (Q2259803) (← links)
- Functional concurrent linear regression model for spatial images (Q2260207) (← links)
- Feature extraction based on Laplacian bidirectional maximum margin criterion (Q2270692) (← links)
- A penalized likelihood based pattern classification algorithm (Q2270740) (← links)
- Sparse multinomial kernel discriminant analysis (sMKDA) (Q2270800) (← links)
- Tensor linear Laplacian discrimination (TLLD) for feature extraction (Q2270824) (← links)
- A multi-manifold discriminant analysis method for image feature extraction (Q2275963) (← links)
- Prediction and estimation consistency of sparse multi-class penalized optimal scoring (Q2278663) (← links)
- Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction (Q2289605) (← links)
- Inference on covariance operators via concentration inequalities: \(k\)-sample tests, classification, and clustering via Rademacher complexities (Q2317001) (← links)
- Spatial depth-based classification for functional data (Q2342867) (← links)
- Sparse sufficient dimension reduction using optimal scoring (Q2359474) (← links)
- The \(\mathrm{DD}^G\)-classifier in the functional setting (Q2398081) (← links)
- Dimension-reduced clustering of functional data via subspace separation (Q2403303) (← links)
- A new kernel fuzzy based feature extraction method using attraction points (Q2415881) (← links)
- Multivariate and functional classification using depth and distance (Q2418318) (← links)
- The delta method for analytic functions of random operators with application to functional data (Q2469671) (← links)
- Eigenvalues of large sample covariance matrices of spiked population models (Q2507762) (← links)
- Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices (Q2571691) (← links)
- Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
- Attractor networks for shape recognition (Q2723314) (← links)
- Natural discriminant analysis using interactive Potts models (Q2780853) (← links)
- Resampling-based Classification Using Depth for Functional Curves (Q2828715) (← links)
- Linear discriminant analysis with a generalization of the Moore-Penrose pseudoinverse (Q2872880) (← links)
- ADHERENTLY PENALIZED LINEAR DISCRIMINANT ANALYSIS (Q2953961) (← links)
- On the Validity of the Bootstrap in Non-Parametric Functional Regression (Q3077797) (← links)
- Penalized Classification using Fisher’s Linear Discriminant (Q3107201) (← links)
- Canonical Variates for Recursive Partitioning in Data Mining (Q3298677) (← links)
- Multi-class classification of biomechanical data: A functional LDA approach based on multi-class penalized functional PLS (Q3386481) (← links)
- Convergence of Sample Eigenvectors of Spiked Population Model (Q3458125) (← links)
- Robust nonparametric estimation for functional data (Q3535702) (← links)
- Penalized image averaging and discrimination with facial and fishery applications (Q3592569) (← links)
