Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Illumination Cones for Recognition under Variable Lighting: Faces
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Improved system for object detection and star/galaxy classification via local subspace analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fields of Experts: A Framework for Learning Image Priors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locally linear reconstruction for instance-based learning
Pattern Recognition
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Group Sparse Classifier
Pattern Recognition Letters
Local Sparse Representation Based Classification
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing
Sparse Representation for Color Image Restoration
IEEE Transactions on Image Processing
Collaborative neighbor representation based classification using l2-minimization approach
Pattern Recognition Letters
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Recent research of sparse signal representation has aimed at learning discriminative sparse models instead of purely reconstructive ones for classification tasks, such as sparse representation based classification (SRC) which obtains state-of-the-art results in face recognition. In this paper, a new method is proposed in that direction. With the assumption of locally linear embedding, the proposed method achieves the classification goal via sparse neighbor representation, combining the reconstruction property, sparsity and discrimination power. The experiments on several data sets are performed and results show that the proposed method is acceptable for nonlinear data sets. Further, it is argued that the proposed method is well suited for the classification of low dimensional data dimensionally reduced by dimensionality reduction methods, especially the methods obtaining the low dimensional and neighborhood preserving embeddings, and it costs less time.