Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Robust regression and outlier detection
Robust regression and outlier detection
The nature of statistical learning theory
The nature of statistical learning theory
Influence function and efficiency of the minimum covariance determinant scatter matrix estimator
Journal of Multivariate Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coding Facial Expressions with Gabor Wavelets
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Recognizing faces with PCA and ICA
Computer Vision and Image Understanding - Special issue on Face recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The complexity of computing the MCD-estimator
Theoretical Computer Science
A 3D Facial Expression Database For Facial Behavior Research
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Machine learning based adaptive watermark decoding in view of anticipated attack
Pattern Recognition
SVM-based active feedback in image retrieval using clustering and unlabeled data
Pattern Recognition
Robust and efficient multiclass SVM models for phrase pattern recognition
Pattern Recognition
Model selection for the LS-SVM. Application to handwriting recognition
Pattern Recognition
Robust support vector machine training via convex outlier ablation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator
Computational Statistics & Data Analysis
Maximum Relative Margin and Data-Dependent Regularization
The Journal of Machine Learning Research
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
Improving the robustness of subspace learning techniques for facial expression recognition
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Color image segmentation using pixel wise support vector machine classification
Pattern Recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
A novel SVM+NDA model for classification with an application to face recognition
Pattern Recognition
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
Minimum Class Variance Support Vector Machines
IEEE Transactions on Image Processing
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Mercer kernel-based clustering in feature space
IEEE Transactions on Neural Networks
Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
IEEE Transactions on Neural Networks
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In this paper, a novel Support Vector Machine (SVM) variant, which makes use of robust statistics, is proposed. We investigate the use of statistically robust location and dispersion estimators, in order to enhance the performance of SVMs and test it in two-class and multi-class classification problems. Moreover, we propose a novel method for class specific multi-class SVM, which makes use of the covariance matrix of only one class, i.e., the class that we are interested in separating from the others, while ignoring the dispersion of other classes. We performed experiments in artificial data, as well as in many real world publicly available databases used for classification. The proposed approach performs better than other SVM variants, especially in cases where the training data contain outliers. Finally, we applied the proposed method for facial expression recognition in three well known facial expression databases, showing that it outperforms previously published attempts.