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1.2-mW Online Learning Mixed-Mode Intelligent Inference Engine for Low-Power Real-Time Object Recognition Processor., , and . IEEE Trans. Very Large Scale Integr. Syst., 21 (5): 921-933 (2013)A 320 mW 342 GOPS Real-Time Dynamic Object Recognition Processor for HD 720p Video Streams., , , , , , , and . IEEE J. Solid State Circuits, 48 (1): 33-45 (2013)A 320mW 342GOPS real-time moving object recognition processor for HD 720p video streams., , , , , and . ISSCC, page 220-222. IEEE, (2012)A 92mW real-time traffic sign recognition system with robust light and dark adaptation., , , , and . A-SSCC, page 397-400. IEEE, (2011)SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs., , , and . ISM, page 97-100. IEEE Computer Society, (2018)Energy-Efficient Simultaneous Localization and Mapping via Compounded Approximate Computing., , , and . SiPS, page 51-56. IEEE, (2016)Approximate computing: Challenges and opportunities., , , , , , , , , and . ICRC, page 1-8. IEEE Computer Society, (2016)Across the Stack Opportunities for Deep Learning Acceleration., , , , , , , , , and 21 other author(s). ISLPED, page 35:1-35:2. ACM, (2018)A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition., , , , , and . ISSCC, page 332-333. IEEE, (2010)A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management., , , , and . ISLPED, page 365-370. ACM, (2009)