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Future vehicular networks shall enable new classes of services and applications for car-to-car and car-to-roadside communication. The underlying vehicular mobility patterns significantly impact the operation and effectiveness of these services, and hence it is essential to model and characterize such patterns. In this paper, we examine the mobility of vehicles as a function of traffic density of more...
Future vehicular networks shall enable new classes of services and applications for car-to-car and car-to-roadside communication. The underlying vehicular mobility patterns significantly impact the operation and effectiveness of these services, and hence it is essential to model and characterize such patterns. In this paper, we examine the mobility of vehicles as a function of traffic density of more...
The conventional kernel PCA does not really nonlinearly maps an input image into a high-dimensional feature space. Rather, it chooses a kernel function a priori and computes the principal components indirectly within the input space spanned by the image pixels. Thus method does not consider the structural information of the input images in the feature space. Therefore, the computed principal components...
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