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Generally speaking, several aspects related to relevance feedback based CBIR include what means should be adopted for approximate semantic description of image content, what strategies be applied to sample labeling in feedback and what relevance model would be built for online discrimination. Using random sampling strategy, we construct a set of random subspaces for learning multiple intrinsic descriptions...
Although Web search engines have developed so fast, Web image retrieval is still a challenging task which needs more efforts to be made. In this paper, a system for personal image retrieval on the WWW is proposed. Particularly, a powerful text-based search engine (for instance, Google and Baidu, etc.) is first borrowed to start the initial retrieval with a given personal name. Then, the visual confidence...
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