Discriminative Locality Alignment

Authors:
Tianhao Zhang;Dacheng Tao;Jie Yang
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;School of Computer Engineering, Nanyang Technological University, Singapore and College of Computer Science, Zhejiang University, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China
Venue:
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Year:
2008

Citing 7
Cited 27

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment

SIAM Journal on Scientific Computing
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust multimodal approach for emotion recognition

Neurocomputing
Synchronized submanifold embedding for person-independent pose estimation and beyond

IEEE Transactions on Image Processing
A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy

IEEE Transactions on Multimedia

Transfer Discriminative Logmaps

PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Semi-supervised learning with varifold Laplacians

Neurocomputing
Discriminant analysis via support vectors

Neurocomputing
An efficient method for computing orthogonal discriminant vectors

Neurocomputing
Weighted feature extraction with a functional data extension

Neurocomputing
Unifying perceptual and behavioral learning with a correlative subspace learning rule

Neurocomputing
Linear discriminant analysis using rotational invariant L1 norm

Neurocomputing
Incremental embedding and learning in the local discriminant subspace with application to face recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A blind watermarking scheme using new nontensor product wavelet filter banks

IEEE Transactions on Image Processing
Multiview spectral embedding

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Backward-forward least angle shrinkage for sparse quadratic optimization

ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Manifold elastic net: a unified framework for sparse dimension reduction

Data Mining and Knowledge Discovery
Face Recognition Using Kernel UDP

Neural Processing Letters
Supervised sparse representation method with a heuristic strategy and face recognition experiments

Neurocomputing
Social image annotation via cross-domain subspace learning

Multimedia Tools and Applications
Discriminative information preservation for face recognition

Neurocomputing
Kinship verification through transfer learning

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Stochastic neighbor projection on manifold for feature extraction

Neurocomputing
Letters: Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning

Neurocomputing
Image classification based on effective extreme learning machine

Neurocomputing
Unsupervised Feature Selection with Feature Clustering

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Multi-view hypergraph learning by patch alignment framework

Neurocomputing
Robust spectral regression for face recognition

Neurocomputing
Similar handwritten Chinese character recognition by kernel discriminative locality alignment

Pattern Recognition Letters
Local descriptors and similarity measures for frontal face recognition: A comparative analysis

Journal of Visual Communication and Image Representation
Comparison of different approaches to visual terrain classification for outdoor mobile robots

Pattern Recognition Letters
Sparse regularization discriminant analysis for face recognition

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fisher's linear discriminant analysis (LDA), one of the most popular dimensionality reduction algorithms for classification, has three particular problems: it fails to find the nonlinear structure hidden in the high dimensional data; it assumes all samples contribute equivalently to reduce dimension for classification; and it suffers from the matrix singularity problem. In this paper, we propose a new algorithm, termed Discriminative Locality Alignment (DLA), to deal with these problems. The algorithm operates in the following three stages: first, in part optimization, discriminative information is imposed over patches, each of which is associated with one sample and its neighbors; then, in sample weighting, each part optimization is weighted by the margin degree, a measure of the importance of a given sample; and finally, in whole alignment, the alignment trick is used to align all weighted part optimizations to the whole optimization. Furthermore, DLA is extended to the semi-supervised case, i.e., semi-supervised DLA (SDLA), which utilizes unlabeled samples to improve the classification performance. Thorough empirical studies on the face recognition demonstrate the effectiveness of both DLA and SDLA.