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Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Supervised Locally Linear Embedding
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Face Recognition with Local Binary Patterns
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Face Recognition with Patterns of Oriented Edge Magnitudes
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A Robust and Scalable Approach to Face Identification
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Random Sampling for Subspace Face Recognition
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A new face recognition method based on SVD perturbation for single example image per person
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Face recognition using FLDA with single training image per person
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Statistical monitoring of fed-batch process using dynamic multiway neighborhood preserving embedding
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Generic vs. person specific active appearance models
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Face recognition using discriminant locality preserving projections
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Face recognition from a single image per person: A survey
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Orthogonal neighborhood preserving discriminant analysis for face recognition
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Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach
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An improved face recognition technique based on modular PCA approach
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Enhanced (PC)2A for face recognition with one training image per person
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Face recognition with one training image per person
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The FERET database and evaluation procedure for face-recognition algorithms
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Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
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The FERET evaluation methodology for face-recognition algorithms
inferredcites →https://doi.org/10.1109/afgr.2002.4527207openalex-snapshot
Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
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Evaluating the performance of face-aging algorithms
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Learning a Spatially Smooth Subspace for Face Recognition
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Manifold-Manifold Distance with application to face recognition based on image set
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Manifold Discriminant Analysis
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Adaptive generic learning for face recognition from a single sample per person
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Person-Specific SIFT Features for Face Recognition
inferredcites →https://doi.org/10.1109/iccv.2005.147openalex-snapshot
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Neighborhood preserving embedding
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Spectral Regression for Efficient Regularized Subspace Learning
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Discriminative multi-manifold analysis for face recognition from a single training sample per person
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Mining patterns of orientations and magnitudes for face recognition
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A Parameter-Free Framework for General Supervised Subspace Learning
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Classification and Feature Extraction by Simplexization
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A Doubly Weighted Approach for Appearance-Based Subspace Learning Methods
inferredcites →https://doi.org/10.1109/tip.2006.884929openalex-snapshot
Multilinear Discriminant Analysis for Face Recognition
inferredcites →https://doi.org/10.1109/tip.2006.884956openalex-snapshot
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition
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Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
inferredcites →https://doi.org/10.1109/tip.2010.2060207openalex-snapshot
Face Recognition by Exploring Information Jointly in Space, Scale and Orientation
inferredcites →https://doi.org/10.1109/tkde.2009.126openalex-snapshot
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Recognizing Partially Occluded, Expression Variant Faces From Single Training Image per Person With SOM and Soft $k$ -NN Ensemble
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MPCA: Multilinear Principal Component Analysis of Tensor Objects
inferredcites →https://doi.org/10.1109/tpami.2002.1008382openalex-snapshot
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
inferredcites →https://doi.org/10.1109/tpami.2004.1261097openalex-snapshot
Two-dimensional pca: a new approach to appearance-based face representation and recognition
inferredcites →https://doi.org/10.1109/tpami.2004.57openalex-snapshot
A unified framework for subspace face recognition
inferredcites →https://doi.org/10.1109/tpami.2005.55openalex-snapshot
Face recognition using Laplacianfaces
inferredcites →https://doi.org/10.1109/tpami.2005.58openalex-snapshot
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
inferredcites →https://doi.org/10.1109/tpami.2007.250598openalex-snapshot
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
inferredcites →https://doi.org/10.1109/tsmcb.2005.850151openalex-snapshot
Supervised Nonlinear Dimensionality Reduction for Visualization and Classification
inferredcites →https://doi.org/10.1109/tsmcb.2009.2032926openalex-snapshot
Regularized Locality Preserving Projections and Its Extensions for Face Recognition
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
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Graph construction and b -matching for semi-supervised learning
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Robust discriminative projection with dynamic graph regularization for feature extraction and classification
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Multi-feature multi-manifold learning for single-sample face recognition
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Nonparametric discriminant multi-manifold learning for dimensionality reduction
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Constrained discriminant neighborhood embedding for high dimensional data feature extraction
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Graph Regularized Sparsity Discriminant Analysis for face recognition
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Multi-manifold Sparse Graph Embedding for Multi‐modal Image Classification
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A unified 3D face authentication framework based on robust local mesh SIFT feature
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Cascade shallow CNN structure for face verification and identification
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Discriminative sparse projections for activity-based person recognition
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Semi-supervised subspace learning with L2graph
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Transfer subspace learning for cross-dataset facial expression recognition
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Hybrid generative-discriminative learning for online tracking of sperm cell
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Biased subspace learning for misalignment-robust facial expression recognition
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Joint Local Regressors Learning for Face Alignment
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Incremental image set querying based localization
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A framework of uniform contribution embedding of data
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Local Surface Geometric Feature for 3D human action recognition
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A Laplacian structured representation model in subspace clustering for enhanced motion segmentation
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Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model
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Sky detection by effective context inference
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Clustering by fast search and find of density peaks via heat diffusion
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Kinship verification from facial images by scalable similarity fusion
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Exponential Discriminant Locality Preserving Projection for face recognition
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Multi-view semi-supervised learning for image classification
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Data augmentation for unbalanced face recognition training sets
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A survey on Laplacian eigenmaps based manifold learning methods
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Clustering by defining and merging candidates of cluster centers via independence and affinity
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Gallery-sensitive single sample face recognition based on domain adaptation
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Monogenic features based single sample face recognition by kernel sparse representation on multiple Riemannian manifolds
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Robust locally nonlinear embedding (RLNE) for dimensionality reduction of high-dimensional data with noise
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An online incremental orthogonal component analysis method for dimensionality reduction
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Robust dimensionality reduction via feature space to feature space distance metric learning
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Fisher discrimination based low rank matrix recovery for face recognition
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Multi-subregion based correlation filter bank for robust face recognition
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Multi-manifold LLE learning in pattern recognition
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Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns
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Local manifold distance based on neighborhood graph reordering
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Multi-manifold Discriminant Isomap for visualization and classification
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Collaborative probabilistic labels for face recognition from single sample per person
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Decision pyramid classifier for face recognition under complex variations using single sample per person
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Multi-manifold matrix decomposition for data co-clustering
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Multi-task mid-level feature learning for micro-expression recognition
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Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person
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Illumination invariant single face image recognition under heterogeneous lighting condition
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Nonlinear dictionary learning with application to image classification
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Collaborative discriminative multi-metric learning for facial expression recognition in video
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Efficient multi-modal geometric mean metric learning
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Video-based kinship verification using distance metric learning
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Robust face recognition with structural binary gradient patterns
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Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
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Virtual dictionary based kernel sparse representation for face recognition
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From one to many: Pose-Aware Metric Learning for single-sample face recognition
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Robust heterogeneous discriminative analysis for face recognition with single sample per person
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Jointly learning compact multi-view hash codes for few-shot FKP recognition
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Kinship verification using multi-level dictionary pair learning for multiple resolution images
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Regularized local metric learning for person re-identification
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Similarity mapping for robust face recognition via a single training sample per person
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Multi-level dynamic error coding for face recognition with a contaminated single sample per person
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CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images
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Low-resolution face recognition with single sample per person
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Small Sample Size Face Recognition using Random Quad-Tree based Ensemble Algorithm
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Overview of research on facial ageing using the FG-NET ageing database
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Face recognition: challenges, achievements and future directions
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Local selected features of dual‐tree complex wavelet transform for single sample face recognition
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Genetic‐based feature fusion in face recognition using arithmetic coded local binary patterns
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One sample per person face recognition via sparse representation
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Single Sample Face Recognition Using Multicross Pattern and Learning Discriminative Binary Features
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Dimensionality reduction method based on multiple feature-space collaborative discriminative projection for rotor fault diagnosis
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Face Recognition Technology Analysis Based on Deep Learning Algorithm
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Single-Sample Face Recognition Based on LPP Feature Transfer
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Face Feature Extraction: A Complete Review
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Learning Low-Rank Regularized Generic Representation With Block-Sparse Structure for Single Sample Face Recognition
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Single-Sample Face Recognition Based on Feature Expansion
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LMDAPNet: A Novel Manifold-Based Deep Learning Network
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A Novel Neural Network Method for Face Recognition With a Single Sample Per Person
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Uniform Generic Representation for Single Sample Face Recognition
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Analyzing the Scientific Evolution of Face Recognition Research and Its Prominent Subfields
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Robust local representation for face recognition with single sample per person
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Single sample face identification utilizing sparse discriminative multi manifold embedding
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Single-sample-per-person-based face recognition using fast Discriminative Multi-manifold Analysis
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DCTNet: A simple learning-free approach for face recognition
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Vehicle verification in two nonoverlapped views using sparse representation
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Ensembles of exemplar-SVMs for video face recognition from a single sample per person
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Kinship verification in the wild: The first kinship verification competition
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Towards open-set face recognition using hashing functions
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Face Recognition Using Pearson Correlation and HOG with Single Training Image Per Person
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Fuzzy Multi-Manifold Classifier for One-sample Face Identification
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A Deep Manifold Representation for Information Discovery
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Nonlinear dictionary learning algorithm with nonconvex regularizations
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Single sample per person face recognition based on deep convolutional neural network
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Neighborhood repulsed metric learning for kinship verification
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Tracklet Association with Online Target-Specific Metric Learning
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Discriminative Deep Metric Learning for Face Verification in the Wild
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Multi-manifold deep metric learning for image set classification
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Fixation and Saccade Based Face Recognition from Single Image per Person with Various Occlusions and Expressions
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00293openalex-snapshot
Significant Feature Based Representation for Template Protection
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