Application of semantic features in face recognition
Pattern Recognition
A new feature selection method for Gaussian mixture clustering
Pattern Recognition
Shot-based video retrieval with optical flow tensor and HMMs
Pattern Recognition Letters
Data Complexity Analysis: Linkage between Context and Solution in Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Texture image retrieval based on non-tensor product wavelet filter banks
Signal Processing
Local linear transformation embedding
Neurocomputing
Tensor linear Laplacian discrimination (TLLD) for feature extraction
Pattern Recognition
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Gabor texture in active appearance models
Neurocomputing
Image retrieval using nonlinear manifold embedding
Neurocomputing
Learned local Gabor patterns for face representation and recognition
Signal Processing
Curvelet based face recognition via dimension reduction
Signal Processing
Binary sparse nonnegative matrix factorization
IEEE Transactions on Circuits and Systems for Video Technology
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Manifold-based learning and synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Iterative subspace analysis based on feature line distance
IEEE Transactions on Image Processing
Graph embedding with constraints
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Biased ISOMap projections for interactive reranking
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Distance approximating dimension reduction of Riemannian manifolds
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Discriminative orthogonal neighborhood-preserving projections for classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constrained Laplacian Eigenmap for dimensionality reduction
Neurocomputing
Outlier-resisting graph embedding
Neurocomputing
Active reranking for web image search
IEEE Transactions on Image Processing
Document recommendation in social tagging services
Proceedings of the 19th international conference on World wide web
Maximum margin criterion with tensor representation
Neurocomputing
Semi-supervised learning with varifold Laplacians
Neurocomputing
Regularization parameter choice in locally linear embedding
Neurocomputing
Discriminant analysis via support vectors
Neurocomputing
Supervised learning of local projection kernels
Neurocomputing
An efficient gait recognition with backpack removal
EURASIP Journal on Advances in Signal Processing
Object trajectory clustering via tensor analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Evolutionary cross-domain discriminative hessian eigenmaps
IEEE Transactions 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
Biologically inspired feature manifold for scene classification
IEEE Transactions on Image Processing
Pattern Recognition Letters
Low-resolution gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction
IEEE Transactions on Image Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Discriminative codeword selection for image representation
Proceedings of the international conference on Multimedia
Gait flow image: A silhouette-based gait representation for human identification
Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tensor distance based multilinear locality-preserved maximum information embedding
IEEE Transactions on Neural Networks
Hessian optimal design for image retrieval
Pattern Recognition
Tensor-based locally maximum margin classifier for image and video classification
Computer Vision and Image Understanding
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
Transfer latent variable model based on divergence analysis
Pattern Recognition
Discriminative concept factorization for data representation
Neurocomputing
Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Discriminant sparse neighborhood preserving embedding for face recognition
Pattern Recognition
Enhanced fisher discriminant criterion for image recognition
Pattern Recognition
Tensor rank one differential graph preserving analysis for facial expression recognition
Image and Vision Computing
Supervised sparse patch coding towards misalignment-robust face recognition
Journal of Visual Communication and Image Representation
Multiple kernel local Fisher discriminant analysis for face recognition
Signal Processing
Biview face recognition in the shape-texture domain
Pattern Recognition
Feature extraction using two-dimensional neighborhood margin and variation embedding
Computer Vision and Image Understanding
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
Face recognition using Weber local descriptors
Neurocomputing
Target detection based on a dynamic subspace
Pattern Recognition
Hybrid structure for robust dimensionality reduction
Neurocomputing
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Graph-embedding along with its linearization and kernelization provides a general framework that unifies most traditional dimensionality reduction algorithms. From this framework, we propose a new manifold learning technique called discriminant locally linear embedding (DLLE), in which the local geometric properties within each class are preserved according to the locally linear embedding (LLE) criterion, and the separability between different classes is enforced by maximizing margins between point pairs on different classes. To deal with the out-of-sample problem in visual recognition with vector input, the linear version of DLLE, i.e., linearization of DLLE (DLLE/L), is directly proposed through the graph-embedding framework. Moreover, we propose its multilinear version, i.e., tensorization of DLLE, for the out-of-sample problem with high-order tensor input. Based on DLLE, a procedure for gait recognition is described. We conduct comprehensive experiments on both gait and face recognition, and observe that: 1) DLLE along its linearization and tensorization outperforms the related versions of linear discriminant analysis, and DLLE/L demonstrates greater effectiveness than the linearization of LLE; 2) algorithms based on tensor representations are generally superior to linear algorithms when dealing with intrinsically high-order data; and 3) for human gait recognition, DLLE/L generally obtains higher accuracy than state-of-the-art gait recognition algorithms on the standard University of South Florida gait database.