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Independent component analysis (ICA) (Bell and Sejnowski, 1995) is also a relatively recent technique which has been mainly applied to blind signal separation, though it has been successfully applied to the face recognition problem too. ICA is a feature extraction technique, while SVM are a type of classifiers.

https://www.sciencedirect.com/science/article/pii/S0167865503000813

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Applying Artificial Neural Networks for Face Recognition

4. The Association of Geometric Feature-Based Method and Independent Component Analysis in Facial Feature Extraction One of the most important steps in the face recognition problem is the facial feature extraction. A good feature extraction will increase the performance of face recognition system....

https://www.hindawi.com/journals/aans/2011/673016/

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