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The rapid development of Internet attack has posed severe threats to information security. Therefore, it's of great interest to both the Internet security companies and researchers to develop novel methods which are capable of protecting users against new threats. However, the sources of these network attack varies. Existing malware detectors and intrusion detectors mostly treat the web logs separately...
Saliency prediction typically relies on multiple features that are combined in the ways of weighted summation or multiplication to form a saliency map, which is heuristic and hard for generalization. In this paper, a novel multiple graph label propagation integration framework for saliency object detection algorithm is proposed. The proposed algorithm is divided into four steps. First, an input image...
Most of overlapping community detection algorithms cannot be applied to networks with highly overlapping community such as online social networks where individuals belong to many communities. One important reason is that many algorithms detect communities based on the explicit borders where nodes have more connections inside the communities, however, when the vertices' membership number gets large,...
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