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This paper presents an algorithm for object localization and segmentation. The algorithm uses machine learning, and statistical and combinatorial optimization tools to build a tracker that is robust to noise and occlusions. The method is based on a novel energy formulation and its dual use for object localization and segmentation. The energy uses kernel principal component analysis to incorporate...
Complex networks can be classified in three main types: random networks, small-world networks and scale-free networks. In this work we studied the cycles distribution of these three types of networks and then we proposed one universal Gaussian function that mathematically models the distribution of the three classes. The proposed equation can be used to model any network including social networks.
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