The nature of statistical learning theory
The nature of statistical learning theory
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent component analysis for identification of artifacts in magnetoencephalographic recordings
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Support vector machine-based image classification for genetic syndrome diagnosis
Pattern Recognition Letters
An efficient illumination normalization method for face recognition
Pattern Recognition Letters
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion
Pattern Recognition Letters
Independent component analysis-based defect detection in patterned liquid crystal display surfaces
Image and Vision Computing
Financial time series forecasting using independent component analysis and support vector regression
Decision Support Systems
Computational Biology and Chemistry
Face recognition based on binary template matching
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Expert Systems with Applications: An International Journal
Inter-image outliers and their application to image classification
Pattern Recognition
Recognition of partially occluded and rotated images with a network of spiking neurons
IEEE Transactions on Neural Networks
A novel training weighted ensemble (TWE) with application to face recognition
Applied Soft Computing
Gabor features-based classification using SVM for face recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Automatic face recognition by support vector machines
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Gait recognition using wavelet descriptors and independent component analysis
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Template matching approach for pose problem in face verification
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
An analysis of facial description in static images and video streams
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Decision confidence-based multi-level support vector machines
Engineering Applications of Artificial Intelligence
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Support vector machines (SVM) and independent component analysis (ICA) are two powerful and relatively recent techniques. SVMs are classifiers which have demonstrated high generalization capabilities in many different tasks, including the object recognition problem. ICA is a feature extraction technique which can be considered a generalization of principal component analysis (PCA). ICA has been mainly used on the problem of blind signal separation. In this paper we combine these two techniques for the face recognition problem. Experiments were made on two different face databases, achieving very high recognition rates. As the results using the combination PCA/SVM were not very far from those obtained with ICA/SVM, our experiments suggest that SVMs are relatively insensitive to the representation space. Thus as the training time for ICA is much larger than that of PCA, this result indicates that the best practical combination is PCA with SVM.