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The Nyström method is an efficient technique for scaling kernel learning to very large data sets with more than millions. Instead of computing kernel matrix, it is to approximate a kernel learning problem with a linear prediction problem. We propose an ensemble Nyström method for high dimensional prediction of conflict level from speech. The experiments have been conducted over SSPNet Conflict Corpus,...
In this paper, we compare the performance of support vector machine (SVM) and asymmetric SIMPLS classifiers in emotion recognition from naturalistic dialogues. These two classifiers are evaluated on the SEMAINE corpus that involves emotional binary classification tasks of four dimensions, namely, activation, expectation, power, and valence. The experimental results reveal that the asymmetric SIMPLS...
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