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The event evolution mining for news corpus is beneficial for people who are less interested in the set of documents related by a topic rather than the underlying stories. Most of state-of-the-art approaches which derived from the TDT field considered events at the document level, which made different granularity for each event in evolution graph. In this paper, we consider events from a unified perspective...
Traditionally, rate control consists of bit allocation and QP decision on R-QP model. In bit allocation, target bits is further confined if buffer overflows. Meanwhile, rate control should also give as smooth as possible picture quality. However, there is no explicit relationship between picture quality and encoding parameters, so the coding result on picture quality is usually unpredictable and uncontrollable...
Intrusion detection systems (IDSs) are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, but they are relatively ineffective. Recently applying artificial intelligence, machine learning and data mining techniques to IDS are increasing. Artificial intelligence plays a driving role in security services. This paper proposes an Immune based...
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