Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Machine Learning
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combination of Multiple Classifiers Using Local Accuracy Estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Evaluation Techniques in Computer Vision
Empirical Evaluation Techniques in Computer Vision
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
A Unified Framework for Subspace Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subspace Analysis Using Random Mixture Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Resampling for face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Random sampling LDA for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Dual-space linear discriminant analysis for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Switching between selection and fusion in combining classifiers: anexperiment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fusion of face and speech data for person identity verification
IEEE Transactions on Neural Networks
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Easytoon: an easy and quick tool to personalize a cartoon storyboard using family photo album
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition
International Journal of Computer Vision
Tensor linear Laplacian discrimination (TLLD) for feature extraction
Pattern Recognition
Semi-random subspace method for face recognition
Image and Vision Computing
Face recognition in the presence of age differences using holistic and subpattern-based approaches
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Constraint projections for ensemble learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Fast algorithm for updating the discriminant vectors of dual-space LDA
IEEE Transactions on Information Forensics and Security
Evolutionary discriminant feature extraction with application to face recognition
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Laplacian Discriminant Projection Based on Affinity Propagation
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Random subspace two-dimensional PCA for face recognition
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Selecting features from multiple feature sets for SVM committee-based screening of human larynx
Expert Systems with Applications: An International Journal
Misalignment-robust face recognition
IEEE Transactions on Image Processing
Exemplar based Laplacian Discriminant Projection
Expert Systems with Applications: An International Journal
Randomised manifold forests for principal angle-based face recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
A multi-level supporting scheme for face recognition under partial occlusions and disguise
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Hypergraph with sampling for image retrieval
Pattern Recognition
Supervised Discriminant Projection with Its Application to Face Recognition
Neural Processing Letters
Semi-supervised classification based on random subspace dimensionality reduction
Pattern Recognition
Semi-supervised ensemble classification in subspaces
Applied Soft Computing
Exemplar based laplacian discriminant projection
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Face photo retrieval by sketch example
Proceedings of the 20th ACM international conference on Multimedia
Face Recognition System using Discrete Cosine Transform combined with MLP and RBF Neural Networks
International Journal of Mobile Computing and Multimedia Communications
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
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Subspace face recognition often suffers from two problems: (1) the training sample set is small compared with the high dimensional feature vector; (2) the performance is sensitive to the subspace dimension. Instead of pursuing a single optimal subspace, we develop an ensemble learning framework based on random sampling on all three key components of a classification system: the feature space, training samples, and subspace parameters. Fisherface and Null Space LDA (N-LDA) are two conventional approaches to address the small sample size problem. But in many cases, these LDA classifiers are overfitted to the training set and discard some useful discriminative information. By analyzing different overfitting problems for the two kinds of LDA classifiers, we use random subspace and bagging to improve them respectively. By random sampling on feature vectors and training samples, multiple stabilized Fisherface and N-LDA classifiers are constructed and the two groups of complementary classifiers are integrated using a fusion rule, so nearly all the discriminative information is preserved. In addition, we further apply random sampling on parameter selection in order to overcome the difficulty of selecting optimal parameters in our algorithms. Then, we use the developed random sampling framework for the integration of multiple features. A robust random sampling face recognition system integrating shape, texture, and Gabor responses is finally constructed.