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Bridge deep learning to the physical world: An efficient method to quantize network.

, , , , , and . SiPS, page 1-6. IEEE, (2015)

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Video sensor node with distributed video summary for Internet-of-Things applications., , , , and . ICCE-TW, page 304-305. IEEE, (2015)Bridge deep learning to the physical world: An efficient method to quantize network., , , , , and . SiPS, page 1-6. IEEE, (2015)Power optimization of wireless video sensor nodes in M2M networks., , , , , , and . ASP-DAC, page 401-405. IEEE, (2012)Hardware architecture design of hybrid distributed video coding with frame level coding mode selection., , , , , and . APSIPA, page 1-4. IEEE, (2012)Communication-efficient multi-view keyframe extraction in distributed video sensors., , , , , , , , , and . VCIP, page 13-16. IEEE, (2014)Error resilience for key frames in distributed video coding with rate-distortion optimized mode decision., , , , and . ISCAS, page 1118-1121. IEEE, (2014)A differential detector for an ultra-wideband communications system., , , and . VTC Spring, page 1896-1900. IEEE, (2002)Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling., , , and . ACSSC, page 1200-1203. IEEE, (2020)Ultrawideband radio design: the promise of high-speed, short-range wireless connectivity., , , and . Proc. IEEE, 92 (2): 295-311 (2004)Semantic-Preserving Image Compression., , , , , and . ICIP, page 1281-1285. IEEE, (2020)