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In this paper, we propose a Fast Adaptive Supervised Training Algorithm, called FAST-MDL, for dynamically updating the parameters of a multi-layered deep learning structure in order to fit the current environmental conditions. The method provides promising results in consistent long term object labeling and detection under abruptly changing visual conditions, severe illumination changes and occlusions...
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