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Spoofing attacks is one of the most critical attacks in wireless communication security. Traditional solutions are based on cryptology which is performed in the upper layers, and face many challenges especially in resource-limited application. To overcome this hurdle, physical-layer security has been received a lot of attention recently. In this study, the authors propose a physical-layer spoofing...
With the fast development of Internet, web pages created by web spam which aimed at cheating the search engine and increasing rankings in the search results are prevailing. Web spam is a big problem for today's search engine; therefore it is necessary for search engines to be able to detect web spam during crawling. The web spam detection problem is viewed as a classification problem, that means classification...
Vegetation classification methods of spectral data are very important for remote sensing fields. We can get essential information from remote data by classification. This paper proposes a method for vegetation classification, which uses a decision tree algorithm for this target. First, we analyze spectral characteristics of extracted features of vegetation spectral data. Then, we use a decision tree...
This paper proposes an efficient approach to extract salient objects in an image. A scale-invariant saliency map is first constructed based on a multi-resolution feature contrast calculation, meanwhile the image is segmented into homogenous regions using nonparametric kernel density estimation (NKDE). Then the region saliency ratio of each region combination to its complement is calculated in turn...
This paper proposes an approach that combines selective visual attention with the Markov random field (MRF) framework for segmenting moving objects of interest in video sequences. The gray level and motion features are first extracted from the input image. Then moving regions are obtained by combining motion features with connected component labeling. The shape features of the moving regions are extracted...
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