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Recent studies suggested that cognitive impairments and memory difficulties in cancer survivors were associated with topology changes of brain network, particularly in terms of the functional and structural abnormalities. However, little is known about the modular reconfiguration of metabolic brain network among this population. In this study, we recruited 78 patients with pre-treatment cancer and...
The Gaussian Mixture Model (GMM) is one of the common object representation models in the field of target tracking. However, existing GMM modeling methods are time-consuming. In this paper, we present a method to quickly model the object by a GMM in the joint feature-spatial space. A new measure based on approximations of symmetric KL-Divergence is used to compute the similarity between two GMMs....
Spatiogram is a generalization of histogram to capture higher-order spatial moments information. To apply spatiogram to object tracking, suitable similarity measure is critical. Although there is a series of work on introducing improved distance measure over the original method, their performance in object tracking is very limited due to insufficient discriminative power. In this paper, we present...
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