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A new hierarchical dense matching method using Daisy features is proposed to reconstruct accurate 3D face with binocular camera system. The Daisy operator has high precision and high speed advantages, but the huge memory consumption limited its application in the high resolution image matching algorithms. A divide and conquer strategy is proposed to deal with huge memory consumption issue in high...
With the coming era of Big Data, online hot event discovery has emerged to mine the social hot spots on the large-scale web resources. Hot events are naturally evolved over time, and in the meantime, their inherent semantic relations are likely to change. As a result, traditional event detection approaches do not perform well on the dynamic web resources. To overcome these bottlenecks, this paper...
As documents are explosively increasing in the era of big data, document clustering has been proven to be useful for organizing online document streams into events. However, extant studies on document clustering still suffer from the problems of high dimensionality, scalability and accuracy. In this paper, we will present a novel association link network (ALN) based document clustering method, which...
Similar Link Network (SiLN) is a semantic over layer on Web resources with similar relations instead of hyperlinks, which aims at providing plentiful semantics for intelligent Web activities. However, SiLN is difficult to be built based on cosine computation in large-scale Web resources due to its high building time complexity and weak connectivity. Herein, three strategies are proposed to address...
Association link network (ALN) is used to establish associated relations among various resources, aiming at extending the hyperlink network World Wide Web to an association-rich network, for effectively supporting Web intelligence activities. Unfortunately, with the increase number of Web resources, the challenge of incremental building of ALN is on how to perform the association weight of the new...
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