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Web search clustering is a solution to reorganize search results (also called “snippets”) in a more convenient way for browsing.
There are three key requirements for such post-retrieval clustering systems: (1) the clustering algorithm should group similar documents together; (2) clusters should be labeled with descriptive phrases; and (3) the ...
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The framework focuses on solving two main challenges posed by these kinds of documents: 1) data sparseness and 2) synonyms/homonyms. Image annotation is to automatically associate semantic labels with images in order to obtain a more convenient way for indexing and searching images on the Web.To leverage multiple information sources (multi-view), we develop a multi-view MIML ...Image annotation is a process of finding appropriate semantic labels for images in order to obtain a more convenient way for indexing and searching images on the Web.There has always been a gap between Internet Service Providers (ISPs) and end users when considering the performance of network-based application.On one hand, ISPs keep raising the investment on infrastructures to speed up the data transportation.
This article proposes a novel method for image annotation based on combining feature-word distributions, which map from visual space to word space, ...