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Malware is a widespread problem and despite the common use of anti-virus software, the diversity of malware is still increasing. A major challenge facing the anti-virus industry is how to effectively detect thousands of malware samples that are received every day. In this paper, a novel approach based Run Length Encoding (RLE) algorithm and n-gram are proposed to improve malware detect on dynamic...
A little attention has been given to the use of recursive self organizing map (SOM) for human action recognition in the past years. This paper introduces an action recognition framework using the recursive SOM, a temporal extension of SOM that learns adapted representations of temporal context associated with a time series. We demonstrate the effectiveness of recursive SOM for data clustering, dimensionality...
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