Fast SVM training using data reconstruction for classification of very large datasets

This paper proposes a fast support vector machine (SVM) training method for the classification of very large datasets using data reconstruction. The idea is to scale down the training data by removing the samples that have low probability to become support vectors (SVs) in the feature space. For thi...

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