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Modified quadratic discriminant function (MQDF) is the state-of-the-art classifier in handwritten character recognition. Discriminative learning of MQDF can further improve its performance. Recent advances justify the efficacy of minimum classification error criteria in learning MQDF (MCE-MQDF). We provide an alternative choice to MCE-MQDF based on the Perceptron learning (PL-MQDF). For better generalization...
Low information transfer rate (ITR) is one of main problems that a brain-computer interface (BCI) faces. One method to increase ITR is to extend two-class mental tasks to multiple tasks. Accordingly an efficient method for feature extraction is needed to ensure good classification performance. This paper generalizes well-known common spatial pattern (CSP) algorithm from two task conditions to multi-task...
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