Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Motion-Based Recognition of People in EigenGait Space
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Simplest Representation Yet for Gait Recognition: Averaged Silhouette
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Analysis with Tensor Representation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Coupled Kernel-Based Subspace Learning
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Graph Embedding: A General Framework for Dimensionality Reduction
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Carrying Status in Visual Surveillance
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Knowledge and Information Systems
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric authentication: a machine learning approach
Biometric authentication: a machine learning approach
Studies on silhouette quality and gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
What image information is important in silhouette-based gait recognition?
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Modelling the effects of walking speed on appearance-based gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discriminant Locally Linear Embedding With High-Order Tensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of humans using gait
IEEE Transactions on Image Processing
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
Two-Dimensional Fast Orthogonal Neural Network for Image Recognition
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning
IEEE Transactions on Neural Networks
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constrained Laplacian Eigenmap for dimensionality reduction
Neurocomputing
Outlier-resisting graph embedding
Neurocomputing
Maximum margin criterion with tensor representation
Neurocomputing
Semi-supervised learning with varifold Laplacians
Neurocomputing
A convergent solution to two dimensional linear discriminant analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A unified tensor level set for image segmentation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Journal of Computer Science and Technology
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Hierarchical visual event pattern mining and its applications
Data Mining and Knowledge Discovery
Discriminant orthogonal rank-one tensor projections for face recognition
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Discriminative concept factorization for data representation
Neurocomputing
Discriminant sparse neighborhood preserving embedding for face recognition
Pattern Recognition
Tensor rank one differential graph preserving analysis for facial expression recognition
Image and Vision Computing
Biview face recognition in the shape-texture domain
Pattern Recognition
Optimal calculation of tensor learning approaches
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Multiple linear regression modeling for compositional data
Neurocomputing
Multiple rank multi-linear SVM for matrix data classification
Pattern Recognition
Multi-linear neighborhood preserving projection for face recognition
Pattern Recognition
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This paper proposes Tensor Rank One Discriminant Analysis (TR1DA) in which general tensors are input for pattern classification. TR1DA is based on Differential Scatter Discriminant Criterion (DSDC) and Tensor Rank One Analysis (TR1A). DSDC is a generalization of the Fisher discriminant criterion. It ensures convergence during training stage. TR1A is a method for adapting general tensors as input to DSDC. The benefits of TR1DA include: (1) a natural way of representing data without losing structure information, i.e., the information about the relative positions of pixels or regions; (2) a reduction in the small sample size problem which occurs in conventional discriminant learning because the number of training samples is much less than the dimensionality of the feature space; (3) a better convergence during the training procedure. We use a graph-embedding framework to generalize TR1DA in manifold learning-based feature selection algorithms, such as locally linear embedding, ISOMAP, and the Laplace eigenmap. We also kernelize TR1DA to nonlinear problems. TR1DA is then demonstrated to outperform traditional subspace methods, such as principal component analysis and linear discriminant analysis.