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Benefiting from its openness, collaboration and real-time features, Micro blog has become one of the most important news communication media in modern society. However, it is also filled with fake news. Without verification, such information could spread promptly through social network and result in serious consequences. To evaluate news credibility on Micro blog, we propose a hierarchical propagation...
Binary representation for large scale nearest neighbor search received more and more concern recently. Although binary codes can be directly used as indices of the hash tables, correlations between the bits may lead to non-uniform codes distribution and reduce the performance of the hash table. In this paper, we propose a data driven multi-index hashing method for exact nearest neighbor search in...
The quality of codebook is the determinant factor in BoW-based copy detection strategies. However, most of the adopted codebook construction algorithms are derived from image retrieval or object recognition, which neglect the robustness in partitioning original features and copy features (especially those with serious transformations) into the same group. To deal with this problem, we have developed...
The local classification methods try to simplify the complex global modeling problem by decomposing it into a set of local classification sub-problems, which is a potential key to overcome the semantic gap in multimedia content analysis. In this paper we proposed a sample-balancing clustering segmentation method and an effective local classification framework named k-nearest subclassifiers (KNSC)...
Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. In this paper, to facilitate userpsilas browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual network to organize web videos of various topics. Comparison experiments demonstrate proposed approach generates more...
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