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In this paper, we present a statistical technique based on Jensen-Shanon divergence for detecting the regions of activity in fMRI images. The method is model free and we exploit the metric property of the square root of Jensen-Shannon divergence to accumulate the variations between successive time frames of fMRI images. Experimentally we show the effectiveness of our algorithm.
In multi-channel setting (for example, Web channel and storefront), one often is required to generate an integrated view of customers across channels for making better CRM, marketing and merchandizing decisions. It is essential to identify a customer uniquely across channels to generate an integrated customer view. It is often not feasible to impose a unique identifier on a customer across channels...
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