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GAUSSIAN MIXTURE MODEL BASED APPROXIMATION OF CONTINUOUS BELIEF DISTRIBUTIONS
GAUSSIAN MIXTURE MODEL BASED APPROXIMATION OF CONTINUOUS BELIEF DISTRIBUTIONS
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机译:基于高斯混合模型的连续信度分布逼近
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摘要
A system and method to generate perceptual models of the environment that optimally handle the variation in clutter and provide a multiresolution and multi-fidelity representation of the environment is described. The system and method is able to capture inherent structural dependencies, thereby allowing efficient and precise inferences to be drawn. The approach employs a hierarchy of Gaussian Mixtures to approximate the underlying spatial distribution.
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