Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...
Abstract: 3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object recognition in computer vision and remote sensing. Numerous previous studies have presented a series of ...
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