Abstract: We propose an sparse Bayesian learning (SBL)based method that leverages group sparsity and multiple parameterized dictionaries to detect the relevant dictionary entries and estimate their ...
Abstract: Most traditional instrument pose planning algorithms focus on optimizing the pose of vertical instruments in open spaces. However, there is a lack of research on pose planning for ...
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