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Biosignals-based affective computing plays an important role in human-computing interaction. In recent years, a lot of works have been successfully implemented for emotion recognition with biological signals. However most of them are computationally expensive due to the complexity of models. In this paper, we present a multi-label learning (MLL) method to map biological signals to an affective model...
Security is one of the most critical constraints for the expansion of P2P networks. The autonomy, dynamic and distribution natures benefit both valid and malicious users. Exploiting a reputation-based trust model is a feasible solution in such an open environment to build trust relationship among peers. While most of the existing trust models focus on decreasing the abuse, intentions and sharing capabilities...
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