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Biased Mixtures of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations., and . IEEE Trans. Image Process., (2020)A Memory-Efficient Learning Framework for Symbol Level Precoding With Quantized NN Weights., , and . IEEE Open J. Commun. Soc., (2023)Energy Consumption of Visual Sensor Networks: Impact of Spatio-Temporal Coverage Based on Single-Hop Topologies., , , , and . EWSN, volume 8354 of Lecture Notes in Computer Science, page 150-165. Springer, (2014)Precision-energy-throughput scaling of generic matrix multiplication and discrete convolution kernels via linear projections., , and . ESTIMedia, page 21-30. IEEE, (2013)Highly-reliable integer matrix multiplication via numerical packing., , , , and . IOLTS, page 19-24. IEEE, (2013)A 0.6V all-digital body-coupled wakeup transceiver for IoT applications., , , , and . VLSIC, page 98-. IEEE, (2015)Failure Mitigation in Linear, Sesquilinear and Bijective Operations On Integer Data Streams Via Numerical Entanglement., and . CoRR, (2015)Incremental Refinement of Computation for the Discrete Wavelet Transform., and . ICIP (4), page 53-56. IEEE, (2007)Scheduling and energy-distortion tradeoffs with operational refinement of image processing., and . DATE, page 1719-1724. IEEE Computer Society, (2010)On the stochastic modeling of desynchronization convergence in wireless sensor networks., , and . ICASSP, page 5045-5049. IEEE, (2014)