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Friendship prediction in social networks is useful for various applications, such as friend/place recommendation and privacy management. In this paper, we propose a friendship prediction approach by fusing the topology and geographical features in location based social networks (LBSNs). We investigate the features of users' relationship both online and offline and quantify the contributions of selected...
In order to overcome the deficiencies of artificial neural networks (ANN), such as low convergence rate, local optimal solution, over-fitting and difficult determination of structure, a proposed QPSO-LS-SVMs method is applied to fault diagnosis of power transformer. It takes five characteristic gases dissolved in transformer oil as its inputs and seven transformer states as its outputs, constructs...
An efficient face recognition system by the combination of support vector machines (SVMs) and elastic graph matching was presented. The implementations of this system are as follows: Firstly, the two eyes of a face image are detected by using SVMs approach, and the detected eye coordinates are used as reference points for alignment and normalization of the face image. Secondly, elastic graph matching...
Both relevant vector machine and support vector machine are newly promoted pattern recognition algorithms. An extensive relevant literature displays that they have become hot topics in the field of machine learning. Due to the difference of their mechanism, little research is done to compare their performance. This paper experimentally compared several features of RVM with SVM which can characterize...
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