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Dynamic metric aggregation tracker
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AI
DOI：10.1016/j.asoc.2025.114331.png)
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Abstract
En 中文
• It is necessary to consider false Gaussian responses during inference. • Our algorithm can realize the dynamic metric aggregation to better approximate Gaussian characteristics. • Our algorithm introduces novel quantitative measurements in the sparsity. • Our algorithm achieves better tracking performance in the balance between accuracy and inference speed.
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