Exemplar based Laplacian Discriminant Projection

Authors:
Zhonglong Zheng;Jie Yang
Affiliations:
Department of Computer Science, 54# Mailbox, Zhejiang Normal University, Zhejiang 321004, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 15
Cited 0

Introduction to statistical pattern recognition (2nd ed.)

Introduction to statistical pattern recognition (2nd ed.)
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Laplacian Eigenmaps for dimensionality reduction and data representation

Neural Computation
The CMU Pose, Illumination, and Expression (PIE) Database

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A Unified Framework for Subspace Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Where Are Linear Feature Extraction Methods Applicable?

IEEE Transactions on Pattern Analysis and Machine Intelligence
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Random Sampling for Subspace Face Recognition

International Journal of Computer Vision
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Neighborhood MinMax projections

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dual-space linear discriminant analysis for face recognition

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Generalizing discriminant analysis using the generalized singular value decomposition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	12.05

Visualization

Abstract

A new algorithm, exemplar based Laplacian Discriminant Projection (ELDP), is proposed in this paper for supervised dimensionality reduction. ELDP aims at learning a linear transformation which is an extension of Linear Discriminant Analysis combining with clustering technique. Specifically, we define three scatter matrices using similarities based on representative exemplars which are found by Affinity Propagation Clustering. After the transformation, the considered pair-wise samples within the same exemplar subset and the same class are as close as possible, while those exemplars between-classes are as far as possible. The structural information of classes is contained in the exemplar based Laplacian matrices. Thus the discriminant projection subspace can be derived by controlling the structural evolution of Laplacian matrices. The performance on several data sets demonstrates the competence of the proposed algorithm.