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Given the low accuracy of visual tracking based on the routine particle filter caused by the particles poverty, this paper presents the novel sequence likelihood particle filter (SLPF) in which the particles are extracted from a discrete likelihood distribution. And the constructing procedure of the discrete likelihood is stated. And the weight updating formula of the sequence likelihood particle...
As the number of pages on the web is permanently increasing, there is a need to classify pages into categories to facilitate indexing or searching them. In the method proposed here, we use both textual and visual information to find a suitable representation of web page content. In this paper, several term weights, based on TF or TF-IDF weighting are proposed. Modification is based on visual areas,...
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