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Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources
In this paper, we first propose a method for defining anomalies considering not only individual energy sources but also correlations between them.
Historical Credibility for Movie Reviews and Its Application to Weakly Supervised Classification
The problem is challenging because even experts cannot clearly and efficiently judge the credibility of a movie review and the number of movie reviews is very large.
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