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Distributed Online Learning: A Bayesian Approach
Distributed Online Learning: A Bayesian Approach – Anomaly detection and correction for the online video generation is a vital problem in the areas of computer vision, natural language processing and video analysis. In this paper we propose to perform anomaly detection and correction in real-time using a novel distributed learning pipeline. We use a distributed […]