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In this paper, a model based on weighted extreme learning machine (weighted ELM) is proposed for visual tracking. The weighted ELM considers different class distributions both of the positive and negative classes, where extra weights are utilized in the framework. The proposed model simultaneously trains a certain number of weighted ELMs with different feature blocks. Moreover, the weighted multiple...
The functional connectivity of brain is a key point of brain network analysis. The BOLD (blood oxygen level dependent) fMRI (functional magnetic resonance imaging) signal is an effective projection signal of brain function. A dynamic method in resting-state (RS) functional connectivity analysis of brains is proposed in this paper. In contrast to traditional static method, a sliding window is used...
Virtualization has been widely adopted by lots of business companies. It is now becoming an effective way to manage massive hardware resources in flexible scales. While power and hardware cost can be significantly saved through virtualization, the fault detection of system becomes more difficult due to the increasing scalability and complexity in a virtualized environment. In this paper, a fault detection...
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