Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
Theoretical Computer Science
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online dictionary learning for sparse coding
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Sparsity preserving projections with applications to face recognition
Pattern Recognition
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Online Learning for Matrix Factorization and Sparse Coding
The Journal of Machine Learning Research
Learning with l1-graph for image analysis
IEEE Transactions on Image Processing
Kernel sparse representation for image classification and face recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Optimized projection for sparse representation based classification
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Robust classification using structured sparse representation
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Weighted discriminative sparsity preserving embedding for face recognition
Knowledge-Based Systems
A robust elastic net approach for feature learning
Journal of Visual Communication and Image Representation
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Face recognition using Sparse Representation based Classification (SRC) is a new hot technique in recent years. SRC can be regarded as a generalization of Nearest Neighbor and Nearest Feature Subspace. This paper first reviews the Nearest Feature Classifiers (NFCs), including Nearest Neighbor (NN), Nearest Feature Line (NFL), Nearest Feature Plane (NFP) and Nearest Feature Subspace (NFS), and formulates them as general optimization problems, which provides a new perspective for understanding NFCs and SRC. Then a locality Weighted Sparse Representation based Classification (WSRC) method is proposed. WSRC utilizes both data locality and linearity; it can be regarded as extensions of SRC, but the coding is local. Experimental results on the Extended Yale B, AR databases and several data sets from the UCI repository show that WSRC is more effective than SRC.