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Gait is a well recognized biometric feature that is used to identify a human at a distance. However, in real environment, appearance changes of individuals due to viewing angle changes cause many difficulties for gait recognition. This paper re-formulates this problem as a regression problem. A novel solution is proposed to create a View Transformation Model (VTM) from the different point of view...
IP traffic prediction plays an important role in network-layout, traffic-management, as well as the emphasis of traffic-project, congestion-control and network management. Poor prediction performance would be acquired generally as a result of intense nonlinearity of networks traffic. To tackle it, a modeling method for exact representing IP trafficpsilas movement tendency and a regression algorithm...
This paper presents a support vector machine (SVM) algorithm to generate fertilization fuzzy rules so as to realize the prediction method. That SVM is equivalent to the fuzzy rule-based modeling (FRM) is important to many practical and complicated situations where one unable to determine the number of rules in advance, such as knowledge acquisition form samples. Agricultural fertilizer commonly used...
This paper introduces the novel application of support vector machine for filtering of time-series signal corrupted by Gaussian and non-Gaussian noise. In real world, the case of non-Gaussian noise (e.g. impulse noise, signal dependent noise) is very common. The optimal Wiener filter, which is a linear approach, can yield good results to Gaussian white noise, but performs poorly in case of non-Gaussian...
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