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Fast approximate \(L_\infty\) minimization: speeding up robust regression ⋮ Face pose estimation based on kernelized maximum separability ⋮ Double linear regressions for single labeled image per person face recognition ⋮ Linear reconstruction measure steered nearest neighbor classification framework ⋮ Retinex method based on adaptive smoothing for illumination invariant face recognition ⋮ Face recognition using elastic local reconstruction based on a single face image ⋮ Face recognition under pose variations ⋮ Randomized approximate class-specific kernel spectral regression analysis for large-scale face verification ⋮ Local normalized linear summation kernel for fast and robust recognition ⋮ Image covariance-based subspace method for face recognition ⋮ A new ensemble method with feature space partitioning for high-dimensional data classification ⋮ Face recognition using double sparse local Fisher discriminant analysis ⋮ Cost-sensitive sequential three-way decision modeling using a deep neural network ⋮ Graph regularized multiset canonical correlations with applications to joint feature extraction ⋮ Inexact and incremental bilinear Lanczos components algorithms for high dimensionality reduction and image reconstruction ⋮ Shadow compensation in 2D images for face recognition ⋮ Extraction of illumination invariant facial features from a single image using nonsubsampled contourlet transform ⋮ Unified formulation of linear discriminant analysis methods and optimal parameter selection ⋮ Principal component analysis based on nuclear norm minimization ⋮ Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment ⋮ Learning representations for object classification using multi-stage optimal component analysis ⋮ Unnamed Item ⋮ Augmented DT-CWT feature based classification using regularized neighborhood projection discriminant analysis for face recognition ⋮ Metric learning for image alignment ⋮ A single gallery-based face recognition using extended joint sparse representation ⋮ Robust classification using \(\ell _{2,1}\)-norm based regression model ⋮ Feature space locality constraint for kernel based nonlinear discriminant analysis ⋮ Eigenspace updating for non-stationary process and its application to face recognition. ⋮ 1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based? ⋮ Reduced analytic dependency modeling: robust fusion for visual recognition ⋮ Domain adaptation for face recognition: targetize source domain bridged by common subspace ⋮ Model-driven domain adaptation on product manifolds for unconstrained face recognition ⋮ Linear regression based projections for dimensionality reduction ⋮ Lighting estimation of a convex Lambertian object using redundant spherical harmonic frames ⋮ Face recognition using Elasticfaces ⋮ Pose-robust face recognition via sparse representation ⋮ Complete large margin linear discriminant analysis using mathematical programming approach ⋮ Maximum weight and minimum redundancy: a novel framework for feature subset selection ⋮ Supervised optimal locality preserving projection ⋮ On the use of phase of The Fourier Transform for face recognition under variations in illumination ⋮ Orthogonal discriminant vector for face recognition across pose ⋮ Fractional spectral graph wavelets and their applications ⋮ Kernel coupled cross-regression for low-resolution face recognition ⋮ Beyond sparsity: the role of \(L_{1}\)-optimizer in pattern classification ⋮ Learning invariant face recognition from examples ⋮ A flag representation for finite collections of subspaces of mixed dimensions ⋮ Robust face recognition via block sparse Bayesian learning ⋮ Robust \(\ell_2\)-hypergraph and its applications ⋮ Discover latent discriminant information for dimensionality reduction: non-negative sparseness preserving embedding ⋮ Significance of image representation for face verification ⋮ Interest point detection using imbalance oriented selection ⋮ Feature extraction by using dual-generalized discriminative common vectors ⋮ Semi-supervised classification based on low rank representation ⋮ Feature extraction using constrained maximum variance mapping ⋮ Locally linear discriminant embedding: An efficient method for face recognition ⋮ SubXPCA and a generalized feature partitioning approach to principal component analysis ⋮ Subspace Algorithms for Face Verification ⋮ Feature extraction for classification problems and its application to face recognition ⋮ Orthogonal neighborhood preserving discriminant analysis for face recognition ⋮ Locally linear discriminate embedding for face recognition ⋮ Pose-encoded spherical harmonics for face recognition and synthesis using a single image ⋮ Laplacian smoothing transform for face recognition ⋮ Gabor feature-based face recognition using supervised locality preserving projection ⋮ Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model ⋮ Non-ideal class non-point light source quotient image for face relighting ⋮ SVM-based feature extraction for face recognition ⋮ Marginface: A novel face recognition method by average neighborhood margin maximization ⋮ Bagging null space locality preserving discriminant classifiers for face recognition ⋮ Teacher-directed learning in view-independent face recognition with mixture of experts using single-view eigenspaces ⋮ Face recognition from a single image per person: a survey ⋮ On solving the face recognition problem with one training sample per subject ⋮ Regression based automatic face annotation for deformable model building ⋮ Blockwise projection matrix versus blockwise data on undersampled problems: analysis, comparison and applications ⋮ Nonlinear nonnegative matrix factorization based on Mercer kernel construction ⋮ Bilinear Lanczos components for fast dimensionality reduction and feature extraction ⋮ Discriminability and reliability indexes: two new measures to enhance multi-image face recognition ⋮ Extraction of category orthonormal subspace for multi-class classification ⋮ Projective robust nonnegative factorization ⋮ A robust incremental learning framework for accurate skin region segmentation in color images ⋮ Sparsity preserving discriminant projections with applications to face recognition ⋮ Customized dictionary learning for subdatasets with fine granularity ⋮ A multikernel-like learning algorithm based on data probability distribution ⋮ SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding ⋮ Incremental learning of bidirectional principal components for face recognition ⋮ Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation ⋮ Adaptive multiple graph regularized semi-supervised extreme learning machine ⋮ Multiscale facial structure representation for face recognition under varying illumination ⋮ View independent face detection based on horizontal rectangular features and accuracy improvement using combination kernel of various sizes ⋮ Perturbation LDA: Learning the difference between the class empirical mean and its expectation ⋮ The correntropy MACE filter ⋮ Incremental nonnegative matrix factorization for face recognition ⋮ Efficient linear discriminant analysis with locality preserving for face recognition ⋮ KFCE: a dictionary generation algorithm for sparse representation ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Incremental graph regulated nonnegative matrix factorization for face recognition ⋮ Nonnegative matrix factorization with Hessian regularizer ⋮ Stable locality sensitive discriminant analysis for image recognition ⋮ SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering ⋮ Combined supervised information with PCA via discriminative component selection
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