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Nowadays, with the exponentially growth of information, more and more recommendation systems are used for commercial purpose. Among all kinds of recommendation systems, Collaborative Filtering-based Recommender is the most popular one. It is used in a wide range of music recommendation systems and its accuracy is pretty high. However, it is hard for this kind of recommender to find novel things. In...
Multi-index hashing (MIH) is the state-of-the-art method for indexing binary codes, as it divides long codes into substrings and builds multiple hash tables. However, MIH is based on the dataset codes uniform distribution assumption, and will lose efficiency in dealing with non-uniformly distributed codes. Besides, there are lots of results sharing the same Hamming distance to a query, which makes...
Wavelet transform has the feature of multi-difference and has been used in image fusion. After image decomposed by wavelet, different entropy of low and high frequency parts are obtained in different decomposed layers. The emphases of image fusion can be obtained by analyzing the entropy of low and high frequency parts in different wavelet decomposed layers, and fusion methods can be accordingly used...
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