Abstract: Hyperspectral anomaly detection (HAD) aims to distinguish anomalies from background in hyperspectral images (HSIs). Recently, low-rank representation (LRR)-based methods have attracted ...
Abstract: This work proposes a scheme for learning how to break rocks with an impact hammer. The problem is formulated as a Partially Observable Markov's Decision Process, and then solved through deep ...
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