Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel principal component analysis
Advances in kernel methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generalized Representer Theorem
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Face recognition from one example view
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Nonparametric discriminant analysis and nearest neighbor classification
Pattern Recognition Letters
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neighborhood Preserving Embedding
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition from a single image per person: A survey
Pattern Recognition
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
Journal of Cognitive Neuroscience
Kernel class-wise locality preserving projection
Information Sciences: an International Journal
Between Classification-Error Approximation and Weighted Least-Squares Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for semi-supervised dimensionality reduction
Pattern Recognition
Face recognition using classification-based linear projections
EURASIP Journal on Advances in Signal Processing
Introduction to Information Retrieval
Introduction to Information Retrieval
Subspace based feature selection for pattern recognition
Information Sciences: an International Journal
Face Recognition Using Kernel-Based NPE
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
Sparsity preserving projections with applications to face recognition
Pattern Recognition
Sparsity preserving discriminant analysis for single training image face recognition
Pattern Recognition Letters
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
Graph optimization for dimensionality reduction with sparsity constraints
Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Face recognition using LDA-based algorithms
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
IEEE Transactions on Neural Networks
Sparse representation or collaborative representation: Which helps face recognition?
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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Recently the underlying sparse representation structure in high dimensional data has received considerable attention in pattern recognition and computer vision. In this paper, we propose a novel semi-supervised dimensionality reduction (SDR) method, named Double Linear Regressions (DLR), to tackle the Single Labeled Image per Person (SLIP) face recognition problem. DLR simultaneously seeks the best discriminating subspace and preserves the sparse representation structure. Specifically, a Subspace Assumption based Label Propagation (SALP) method, which is accomplished using Linear Regressions (LR), is first presented to propagate the label information to the unlabeled data. Then, based on the propagated labeled dataset, a sparse representation regularization term is constructed via Linear Regressions (LR). Finally, DLR takes into account both the discriminating efficiency and the sparse representation structure by using the learned sparse representation regularization term as a regularization term of Linear Discriminant Analysis (LDA). The extensive and encouraging experimental results on three publicly available face databases (CMU PIE, Extended Yale B and AR) demonstrate the effectiveness of the proposed method.