Abstract: Hyperspectral anomaly detection aims to detect potential targets of interest in hyperspectral images (HSIs). In this article, we propose a joint low-rank tensor approximation-based anomaly ...
Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
Abstract: In this work we present a novel technique, based on a trust-region optimization algorithm and second-order trajectory sensitivities, to compute the extreme trajectories of power system ...
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