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In this paper we focus on approximate arithmetic circuits for computer vision and machine learning. These kinds of applications have an excellent resiliency to ...
In this paper we will focus on approximate arithmetic circuits with applications for computer vision and machine learning. These kinds of arithmetic-intensive ...
This paper focuses on approximate arithmetic circuits for computer vision and machine learning, which have an excellent resiliency to computation errors and ...
Sep 7, 2018 · Our approach achieved high accuracy (below 6% average relative error) in estimating the statistics for approximate score computation on all the ...
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Sep 22, 2023 · Nano-Scale Technology Era · Problem in Nano-Scale and Motivation · Application Example · Methodologies and Strategies of Approximate Computing.
Bibliographic details on Approximate computing in the nanoscale era.
For example, approximate computing [41], [42] employs approximation techniques to reduce the algorithmic computational complexity while meeting the application- ...
Approximate computing is a new paradigm for designing energy-efficient integrated circuits at the nanoscale. In this paper, we propose efficient imprecise ...
Dive into the research topics of 'An efficient majority-based compressor for approximate computing in the nano era'. Together they form a unique fingerprint.
While parallelizing existing SBI algorithms provides us with performance gains, this might not be the most efficient way to utilize the achieved parallelism.
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