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On the Reliability of Convolutional Belief Networks: A Randomized Bayes Approach
On the Reliability of Convolutional Belief Networks: A Randomized Bayes Approach – In this paper, we propose a multi-label learning approach for object trackers. Since it is a supervised learning problem, the goal is to learn with different labels, different classifiers need to fit different classes, and different classifiers need to predict all labels. To […]