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Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection.

, , , , and . ICASSP, page 2236-2240. IEEE, (2018)

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An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance., , and . IEEE Trans. Multi-Scale Computing Systems, 1 (1): 7-18 (2015)Reconfigurable 96×128 active pixel sensor with 2.1µW/mm2 power generation and regulated multi-domain power delivery for self-powered imaging., , , and . ESSCIRC, page 507-510. IEEE, (2016)Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes., , , , and . IEEE Internet of Things Journal, 6 (1): 421-434 (2019)Cascade Adversarial Machine Learning Regularized with a Unified Embedding., , and . CoRR, (2017)Cascade Adversarial Machine Learning Regularized with a Unified Embedding., , and . ICLR (Poster), OpenReview.net, (2018)Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance., , and . DAC, page 146:1-146:6. ACM, (2018)Binary-Classifiers-Enabled Filters for Semi-Supervised Learning., , , , , and . IEEE Access, (2021)Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms., , , , , and . CoRR, (2019)An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance., , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (3): 591-602 (2018)An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms., and . ISLPED, page 194-199. ACM, (2016)