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
Mapping a manifold of perceptual observations
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Atomic Decomposition by Basis Pursuit
SIAM Review
DCC '00 Proceedings of the Conference on Data Compression
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A kernel view of the dimensionality reduction of manifolds
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
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
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 24th international conference on Machine learning
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Neural Computation
Journal of Cognitive Neuroscience
A unified framework for semi-supervised dimensionality reduction
Pattern Recognition
Spectral Regression: A Unified Approach for Sparse Subspace Learning
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Density-weighted nyström method for computing large kernel eigensystems
Neural Computation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Efficient and robust feature extraction by maximum margin criterion
IEEE Transactions on Neural Networks
Comments on “Efficient and Robust Feature Extraction by Maximum Margin Criterion”
IEEE Transactions on Neural Networks
Sparsity preserving discriminant analysis for single training image face recognition
Pattern Recognition Letters
Graph-optimized locality preserving projections
Pattern Recognition
Sparse representation: extract adaptive neighborhood for multilabel classification
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Sparse representation-based face recognition for one training image per person
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Face recognition using sparse representations and manifold learning
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Face image retrieval using sparse representation classifier with gabor-LBP histogram
WISA'10 Proceedings of the 11th international conference on Information security applications
A novel training weighted ensemble (TWE) with application to face recognition
Applied Soft Computing
Maximum variance sparse mapping
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
SEMD based sparse gabor representation for eyeglasses-face recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Beyond sparsity: The role of L1-optimizer in pattern classification
Pattern Recognition
Graph optimization for dimensionality reduction with sparsity constraints
Pattern Recognition
Weighted generalized kernel discriminant analysis using fuzzy memberships
WSEAS Transactions on Mathematics
Nearest-neighbor classifier motivated marginal discriminant projections for face recognition
Frontiers of Computer Science in China
Structured sparse linear graph embedding
Neural Networks
Discriminant sparse neighborhood preserving embedding for face recognition
Pattern Recognition
Optimized projection for sparse representation based classification
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Face recognition using discriminant sparsity neighborhood preserving embedding
Knowledge-Based Systems
Image security and biometrics: a review
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A fast tri-factorization method for low-rank matrix recovery and completion
Pattern Recognition
Joint geometry and variability for image recognition
Neurocomputing
Sparse discriminating neighborhood preserving embedding
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Face recognition via Weighted Sparse Representation
Journal of Visual Communication and Image Representation
Biview face recognition in the shape-texture domain
Pattern Recognition
Feature extraction using two-dimensional neighborhood margin and variation embedding
Computer Vision and Image Understanding
Sparsity sharing embedding for face verification
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
An efficient 3D face recognition approach using local geometrical signatures
Pattern Recognition
Dimensionality reduction with adaptive graph
Frontiers of Computer Science: Selected Publications from Chinese Universities
Double linear regressions for single labeled image per person face recognition
Pattern Recognition
Weighted discriminative sparsity preserving embedding for face recognition
Knowledge-Based Systems
Sparse tensor embedding based multispectral face recognition
Neurocomputing
| Hi-index | 0.01 |
Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new unsupervised DR method called sparsity preserving projections (SPP). Unlike many existing techniques such as local preserving projection (LPP) and neighborhood preserving embedding (NPE), where local neighborhood information is preserved during the DR procedure, SPP aims to preserve the sparse reconstructive relationship of the data, which is achieved by minimizing a L1 regularization-related objective function. The obtained projections are invariant to rotations, rescalings and translations of the data, and more importantly, they contain natural discriminating information even if no class labels are provided. Moreover, SPP chooses its neighborhood automatically and hence can be more conveniently used in practice compared to LPP and NPE. The feasibility and effectiveness of the proposed method is verified on three popular face databases (Yale, AR and Extended Yale B) with promising results.