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Hashing for image retrieval has attracted lots of attentions in recent years due to its fast computational speed and storage efficiency. Many existing hashing methods obtain the hashing functions through mapping neighbor items to similar codes, while ignoring the non-neighbor items. One exception is the Local Linear Spectral Hashing (LLSH), which introduces negative values into the local affinity...
Neural network is easy to fall into the minimum and over-fitting in the application. The paper proposes a novel dynamic weight neural network ensemble model (DW-NNE). The Bagging algorithm generates certain neural network individuals which then are selected by the k-means clustering algorithm. In addition, for the integrated output problems, the paper proposes a dynamic weight model which is based...
Trust in Online Social Networks is an increasing popular issue in the field of social computing. It has been widely used in scenarios such as e-commerce, friend recommendation and trust-based access control system. Several trust computing methods have been proposed from different perspectives, however, most of them just quantify certain trust related factors and integrate them into a trust value by...
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