Abstract: The discontinuous Galerkin (DG)-based domain decomposition method has been proposed for analyzing complex electromagnetic scattering problems. For targets involving material regions, the ...
Abstract: Hyperspectral anomaly detection (HAD) aims at effectively separating the anomaly target from the background. The low-rank and sparse matrix decomposition (LRaSMD) technique has shown great ...
Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. Existing models are trained for a fixed set of labels, which greatly limits their ...
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