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In classification tasks, the error rate is proportional to the commonality among classes. Conventional GMM-based modeling techniques fail to capture the unique features of a class. Classification accuracy can be improved if the modeling technique is able to capture the unique features of each class. For any two models and their corresponding training data, the log-likelihoods may be assumed to be...
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