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The past decade has seen a lot of research on statistics-based network protocol identification using machine learning techniques. Prior studies have shown promising results in terms of high accuracy and fast classification speed. However, most works have embodied an implicit assumption that all protocols are known in advance and presented in the training data, which is unrealistic since real-world...
A local distance comparison for multiple-shot people re-identification based on a new adaptive metric learning method is introduced in this paper. There exist two intrinsic issues in multiple-shot person re-identification: Large variances in view point, illumination, and non-rigid deformation are included in the image set of the same person, only a few training data for learning tasks are available...
Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine learning techniques to flow statistical feature based classification methods. The nearest neighbor (NN)-based method has exhibited superior classification performance. It also has several important advantages, such as no requirements...
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