852 citations
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Showing 2017Show all
2 papers · 1 filter
stat.ML2017
Rejection-Cascade of Gaussians: Real-time adaptive background subtraction framework
B Ravi Kiran, Arindam Das, Senthil Yogamani
Background-Foreground classification is a well-studied problem in computer vision. Due to the pixel-wise nature of modeling and processing in the algorithm, it is usually difficult…
stat.ML2017★ 852 cited
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despi…