Intelligent Network-on-Chip With Online Reinforcement Learning for Portable HD Object Recognition Processor

An intelligent Reinforcement Learning (RL) Network-on-Chip (NoC) is proposed as a communication architecture of a heterogeneous many-core processor for portable HD object recognition. The proposed RL NoC automatically learns bandwidth adjustment and resource allocation in the heterogeneous many-core...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2014-02, Vol.61 (2), p.476-484
Hauptverfasser:	Park, Junyoung, Hong, Injoon, Kim, Gyeonghoon, Nam, Byeong-Gyu, Yoo, Hoi-Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Application specific integrated circuits Bandwidth Distance learning Feature extraction High definition video Learning Learning (artificial intelligence) Mathematical models Microprocessors network-on-chip Object recognition Portability Reinforcement reinforcement learning Streaming media
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