Kernel-based nonlinear discriminant analysis for face recognition
Journal of Computer Science and Technology
Unified probabilistic models for face recognition from a single example image per person
Journal of Computer Science and Technology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
An interactive system for mental face retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Neural Networks - 2005 Special issue: IJCNN 2005
Face recognition using a kernel fractional-step discriminant analysis algorithm
Pattern Recognition
3D head model retrieval in kernel feature space using HSOM
Pattern Recognition
Kernel Weighted Scatter-Difference-Based Discriminant Analysis for Face Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Complete discriminant evaluation and feature extraction in kernel space for face recognition
Machine Vision and Applications
A simplified GLRAM algorithm for face recognition
Neurocomputing
Pattern Recognition Letters
Fuzzy linear and nonlinear discriminant analysis algorithms for face recognition
Intelligent Data Analysis
Shape reasoning on mis-segmented and mis-labeled objects using approximated Fisher criterion
Computers and Graphics
Face recognition using discriminant locality preserving projections
Image and Vision Computing
Radar target recognition based on KLLE and a KNRD classifier
WSEAS Transactions on Signal Processing
Gabor feature based face recognition using kernel methods
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
Modeling face appearance with nonlinear independent component analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
An experimental evaluation of linear and kernel-based classifiers for face recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Sparse similarity-based fisherfaces
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Approximation of linear discriminant analysis for word dependent visual features selection
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Multiple similarities based kernel subspace learning for image classification
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Dynamic similarity kernel for visual recognition
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
3D head model classification using KCDA
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Experiments in mental face retrieval
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Discriminant analysis based on kernelized decision boundary for face recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Classifying faces with discriminant isometric feature mapping
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Gabor-Kernel fisher analysis for face recognition
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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
Spatial feature interdependence matrix (SFIM): a robust descriptor for face recognition
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Face recognition using KFDA-LLE
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Novel Fisher discriminant classifiers
Pattern Recognition
Towards collaborative feature extraction for face recognition
Natural Computing: an international journal
Super-class Discriminant Analysis: A novel solution for heteroscedasticity
Pattern Recognition Letters
| Hi-index | 0.00 |
Fisher Linear Discriminant Analysis (FLDA) has been successfully applied to face recognition, which is based on a linear projection from the image space to a low dimensional space by maximizing the between-class scatter and minimizing the within-class scatter. But face image data distribution in practice is highly complex because of illumination?facial expression and pose variations. In this paper, we present to use Kernel based Fisher Discriminant Analysis for face recognition. The kernel trick is used firstly to project the input data into an implicit space called feature space by nonlinear kernel mapping, then Fisher Linear Discriminant Analysis is adopted to this feature space, thus a nonlinear discriminant can be yielded in the input data. Another similar Kernel-based method is Kernel PCA, in which PCA is used in the feature space. The experiments in this paper are performed with the polynomial kernel, and this method is compared with Kernel PCA and FLDA. Extensive experimental results show that the correct recognition rate of this method is higher than that of Kernel PCA and FLDA.