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He growth of the online data provides the user a access to information on the Internet but also creates the challenges to obtain the valuable knowledge. In this paper we focus on news text classification, which is meaningful for information provider to organize and display the news but also for the users to reach the valuable information easily. A hierarchy method based on LDA and SVM is proposed...
Sparse representation based classification (SRC) has been widely used for face recognition (FR). Although SRC algorithm is also adopted in human action recognition, the evaluations of different regular terms have not been given. In this paper, we will discuss and evaluate the role of different regular terms of SRC in human action recognition, after that, we propose human action recognition algorithm...
Importance of software maintainability is increasing leading to development of new sophisticated techniques. This paper presents the applications of support vector machine and unsupervised learning in software maintainability prediction using object-oriented metrics. In this paper, the software maintainability predictor is performed. The dependent variable was maintenance effort. The independent variable...
Facial paralysis can be on one or both sides of face and one side is much more common. This disease can impose significant psychological and functional impairment to patients. Traditionally, patients with facial paralysis are evaluated and examined by physicians based on manually measurement of certain difference between the two facial sides. In this paper, we describe a new approach for quantitatively...
Spectrum is always a kind of rare resource in wireless communication especially in wireless mesh networks (WMNs) which own the wireless connectivity backbone. But in most cases we seldom take full advantage of the spectrum. This problem can be alleviated by the cognitive radio paradigm that aims at devising spectrum sensing and management techniques, thereby allowing radios to intelligently locate...
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