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Shown in the above are the six feature spaces defining each of the six basic emotion categories. A simple linear Support Vector Machine (SVM) can achieve high classifica-tion accuracies; where we have used a one-versus-all strategy to construct each classifier and tested it using the leave-one-out strategy. Here, we only used two features (dimensions) for clarity of presentation. Higher accuracies are obtained if we include additional dimensions and training samples.
