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In order to better support the text mining of historical texts, we propose a combination of complementary techniques from Geographical Information Systems, computational and corpus linguistics. In previous work, we have described this as `visual gisting' to extract important themes from text and locate those themes on a map representing geographical(More)
A new algorithm, the competitive attentional tracker (CAT) is proposed, which combines multiple velocity estimating filters to detect and track targets in cluttered images. Each filter tracks the motion of some scene content using a discrete grid representation for position and velocity beliefs. During operation, the filters can move between high confidence(More)