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In this paper, we studied a speaker independent isolated speaker recognition system for Turkish language by using cross correlation technique. The power spectrumpsilas of each keyword speech for different speakerpsilas determined using the linear predictive coding in order to constitute a feature vectors database that
image has become a hot research topic. The traditional image annotation methods represent images only by a few keywords, which cannot completely describe and rationally organize the high-level semantics of images, so it will lose a great deal of semantic information. Based on the different levels and different aspects of
personality, or 'Big Five' model, describes an individual's personality in terms of openness, conscientiousness, extraversion, agreeableness and neuroticism. This work explores the notion of 'personality of a venue' by reference to personality traits research in psychology. To determine the personality of a venue, keywords are
achieve this, a graph, in which the external pages are nodes and a measure of similitude between them are edges, is built. This is a novel approach of building the edges since usually just the hyperlinks are used instead. The analysis shows that the properties related to the keywords are useful to explain the structure of
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and
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