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A deep learning approach has been proposed recently to derive speaker identifies (d-vector) by a deep neural network (DNN). This approach has been applied to text-dependent speaker recognition tasks and shows reasonable performance gains when combined with the conventional i-vector approach. Although promising, the existing d-vector implementation still can not compete with the i-vector baseline....
To relieve "News Information Overload", classification, summarization and recommendation techniques have been proposed. However, these techniques fail to provide sufficient semantic information about news events. In this paper, considering5W1H (Who, What, Whom, When, Where and How), the full list of elements of a news article, we propose a novel approach to extract event semantic elements...
The ν-support vector machine (ν-SVM) for classification has the advantage of using a parameter ν on controlling the number of support vectors. However, comparing to regular C-SVM, its formulation is more complicated because of having an additional inequality so up to now there are no exact and effective methods for incremental ν-SVM learning. In this paper, based on the truth that the additional inequality...
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