Kernel-based nonlinear discriminant analysis for face recognition
Journal of Computer Science and Technology
Discriminative Common Vectors for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust and Accurate Cancer Classification with Gene Expression Profiling
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Null space versus orthogonal linear discriminant analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Rapid and brief communication: Face recognition using common faces method
Pattern Recognition
Neighborhood discriminant projection for face recognition
Pattern Recognition Letters
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
The Journal of Machine Learning Research
Whitened LDA for face recognition
Proceedings of the 6th ACM international conference on Image and video retrieval
Fast linear discriminant analysis using binary bases
Pattern Recognition Letters
Discriminant Subspace Analysis: A Fukunaga-Koontz Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solution for supervised graph embedding: A case study
Signal Processing
An efficient discriminant-based solution for small sample size problem
Pattern Recognition
Nonnegative-Least-Square Classifier for Face Recognition
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Theoretical analysis on feature extraction capability of class-augmented PCA
Pattern Recognition
Image and Vision Computing
Texture based classification of hyperspectral colon biopsy samples using CLBP
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A new and fast implementation for null space based linear discriminant analysis
Pattern Recognition
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Prediction of eigenvalues and regularization of eigenfeatures for human face verification
Pattern Recognition Letters
An adaptive nonparametric discriminant analysis method and its application to face recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Incremental two-dimensional linear discriminant analysis with applications to face recognition
Journal of Network and Computer Applications
Face recognition using null space-based local discriminant embedding
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Using random subspace to combine multiple features for face recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Null space-based kernel fisher discriminant analysis for face recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A New and Fast Orthogonal Linear Discriminant Analysis on Undersampled Problems
SIAM Journal on Scientific Computing
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition
Neural Processing Letters
Line-based PCA and LDA approaches for face recognition
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Extraction of discriminative manifold for face recognition
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Feature extraction using class-augmented principal component analysis (CA-PCA)
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Common image method(null space + 2DPCAs) for face recognition
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Face recognition using uncorrelated, weighted linear discriminant analysis
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Extending kernel fisher discriminant analysis with the weighted pairwise chernoff criterion
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
New feature extraction approaches for face recognition
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Ensemble LDA for face recognition
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Discriminative common images for face recognition
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Margin maximizing discriminant analysis for multi-shot based object recognition
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Block LDA for face recognition
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Feature extraction using a fast null space based linear discriminant analysis algorithm
Information Sciences: an International Journal
Regularized orthogonal linear discriminant analysis
Pattern Recognition
Coupling adaboost and random subspace for diversified fisher linear discriminant
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
A two-stage linear discriminant analysis for face-recognition
Pattern Recognition Letters
The small sample size problem of ICA: A comparative study and analysis
Pattern Recognition
CluChunk: clustering large scale user-generated content incorporating chunklet information
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Informative gene selection and tumor classification by null space LDA for microarray data
ESCAPE'07 Proceedings of the First international conference on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies
Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction
ACM Transactions on Knowledge Discovery from Data (TKDD)
A feature selection method using improved regularized linear discriminant analysis
Machine Vision and Applications
| Hi-index | 0.04 |
The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix Sw in Linear Discriminant Analysis (LDA). Different methods have been proposed to solve this problem in face recognition literature. Some methods reduce the dimension of the original sample space and hence unavoidably remove the null space of Sw, which has been demonstrated to contain considerable discriminative information; whereas other methods suffer from the computational problem. In this paper, we propose a new method to make use of the null space of Sw effectively and solve the small sample size problem of LDA. We compare our method with several well-known methods, and demonstrate the efficiency of our method.