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Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed

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Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomaliesedback of a student network on a validation set, thereby generating more conducive pseudo anomalies to assist the student network while incurring less confirmation bias. Extensive experiments show that the proposed MPAD algorithm outperforms current popular algorithms on five real datasets.
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Restoration of Degraded Ecosystems well by outperforming other baselines in accuracy, response time, and memory footprint. Meanwhile, our method can scale to half a million data points on a personal computer, further verifying its cost-effectiveness.
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https://doi.org/10.1007/978-3-662-04072-0 samples while keeping the category information. We comprehensively verified the effectiveness of our model on both the normal and the semantic adhesion scenario of the few-shot open-set recognition problem.
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Corporate Ethics and Management Theoryace. In addition, ST-LFC reduces the negative effects of unreliable predictions through entropy minimization. Empirical results indicate that ST-LFC significantly improves over the state-of-the-arts on a variety of benchmark datasets.
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