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Correlation filter-based tracking methods have accomplished competitive performance on accuracy and robustness, but there is still a huge potential in choosing suitable features. Recently, Convolutional Kernel Networks (CKN), which provide a fast and simple procedure to approximate kernel descriptors, have been proposed and achieved state-of-the-art performance in many vision tasks. In this paper,...
Existing network damage assessment method fall short because they either lack correlation adjustment among indexes or without conclusive evidence to demonstrated the degree does represent the real situation of the network. This paper proposed a method to adjustment index correlation based on Orthogonalization. The advantages of this method for evaluation damage degree of network have been demonstrated...
Network damage evaluation is a hot research topic in network security area. This paper reviews previous works in the area of network damage evaluation. These studies focus on building an index system and computing the damage by the entropy before and after attacks without taking the correlation of index into consideration, which could results in damage increased, and it cannot express the variable...
The restoration of degraded grassland which caused by over-grazing is directly related to land sustainable and economical development in North China. However, it is not well know that the impact of grazing excluding and continuous free grazing on soil properties in this region. In this paper, Soil physical and chemical properties under grazing excluded for 5 and 11 years and free grazing were examined...
The Very Minimum Chirp Keying (VMCK) is proposed as a novel ultra-narrow band communication scheme employing one cycle up-chirp or down-chirp waveform in one bit. Based on the uniform method proposed in this paper, the non-DC offset VMCK waveforms have been worked out. Because of well-proportioned distribution of spectrum, this type of VMCK possesses less bandwidth and higher bandwidth efficiency...
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