Uploaded November 2012 | Updated September 2026, 1 week ago
In this study we focus on a novel integrated software and hardware approach for reducing the computational effort and energy expenditure of computer vision algorithms. It is based on local sampling on the software side and probabilistic computing on the hardware side.
In this study we focus on a novel integrated software and hardware approach for reducing the computational effort and energy expenditure of computer vision algorithms. It is based on local sampling on the software side and probabilistic computing on the hardware side.
