Abstract: Density estimation is a fundamental task in statistics and machine learning that aims to estimate, from a set of samples, the probability density function of the distribution that generated ...
Abstract: A novel artificial-potential function approach is presented for planning the paths of distributed sensor networks in a complex dynamic environment. The approach implements a novel potential ...
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