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In classification problem, single classifier may not fully catch the dataset's information. Thus, an ensemble method based on Support Vector Machine (SVM) is proposed in this paper for image scene classification. First, Scale Invariant Feature Transform (SIFT) is used to extract the features of the images, and the SIFT features are clustered to form a visual vocabulary. Then, the SIFT features of...
This paper proposed a fuzzy logic based approach to label speech segments from media files for content production in e-Learning systems. A fuzzy inference system (FIS) was introduced to fuzzify the extracted features extracted from different dimensions. apply predefined rules, and generate an output that represents the degree a clip belonging to speech. We show that our methodology improves the accuracy...
Enabling early detection of Denial of service (DoS) attacks in network traffic is an important and challenging task because DoS attacks have become one of the most serious threats to the Internet. In this paper, we develop an IP packet size entropy (IPSE)-based DoS detection scheme in which the entropy is markedly changed when traffic is affected by an attack. Through our analysis, we find that the...
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