Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Classification of high dimensional multispectral data
Classification of high dimensional multispectral data
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Quadratic Classifier Applied to Biometric Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Using mixture covariance matrices to improve face and facial expression recognitions
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Regularization Versus Dimension Reduction, Which Is Better?
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
An efficient discriminant-based solution for small sample size problem
Pattern Recognition
Border feature detection and adaptation algorithm for consensual decision making
International Journal of Remote Sensing - Remote Sensing: its Applications and Integration with GIS
Covariance estimation in full- and reduced-dimensionality image classification
Image and Vision Computing
Multivariate Student-t self-organizing maps
Neural Networks
Linear dimensionality reduction using relevance weighted LDA
Pattern Recognition
Visual analysis of the use of mixture covariance matrices in face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Reduction of processing time for optimal and quadratic discriminant analyses
Pattern Recognition
The reference prior for complex covariance matrices with efficient implementation strategies
IEEE Transactions on Signal Processing
Approximating the covariance matrix of GMMs with low-rank perturbations
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Regularization of LDA for face recognition: a post-processing approach
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
On the design of a CADS for shoulder pain pathology
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
International Journal of Speech Technology
Experiments for the selection of sub-word units in the Basque context for semantic tasks
International Journal of Speech Technology
Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle
Neural Processing Letters
| Hi-index | 0.15 |
A new covariance matrix estimator useful for designing classifiers with limited training data is developed. In experiments, this estimator achieved higher classification accuracy than the sample covariance matrix and common covariance matrix estimates. In about half of the experiments, it achieved higher accuracy than regularized discriminant analysis, but required much less computation.