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Energy Efficient Approximate Computing Framework for DNN Acceleration Using a Probabilistic-Oriented Method
P Huang, K Chen, C Wang, W Liu - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Approximate computing (AxC) has recently emerged as a successful approach for
optimizing energy consumption in error-tolerant applications, such as deep neural networks …
optimizing energy consumption in error-tolerant applications, such as deep neural networks …
Exploiting Functional Approximation on Decision-Tree Based Multiple Classifier Systems
Multiple Classifier Systems (MCSs) have been in-creasingly designed to take advantage of
hardware features, such as high parallelism and computational power, to guarantee higher …
hardware features, such as high parallelism and computational power, to guarantee higher …