Abstract: In this paper, we study the fine-grained categorization problem under the few-shot setting, i.e., each fine-grained class only contains a few labeled examples, termed Fine-Grained Few-Shot ...
Abstract: In this paper, we deal with the problem of enforcing diagnosability to labeled Petri nets (PNs) appropriately adding new sensors. We show that, solving an integer linear programming problem, ...
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