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Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization.

, , and . INFOCOM, page 1972-1980. IEEE, (2010)

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Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification., , , , , and . IEEE Access, (2019)Modeling framework for cross-point resistive memory design emphasizing reliability and variability issues., , and . ASP-DAC, page 112-117. IEEE, (2015)PAS: Prediction-based Adaptive Sleeping for Environment Monitoring in Sensor Networks., , , and . ICPP Workshops, page 66. IEEE Computer Society, (2007)tk-coverage: Time-Based K-Coverage for Energy Efficient Monitoring., , , and . ICPADS, page 495-502. IEEE Computer Society, (2009)Cross-Media Information Retrieval with Deep Convolutional Neural Network., , , , and . BIC-TA (1), volume 681 of Communications in Computer and Information Science, page 405-410. Springer, (2016)Boosting Mobile Apps under Imbalanced Sensing Data., , , , and . IEEE Trans. Mob. Comput., 14 (6): 1151-1161 (2015)Gain Without Pain: Accurate WiFi-based Localization using Fingerprint Spatial Gradient., , , , and . IMWUT, 1 (2): 29:1-29:19 (2017)Scaling out NUMA-Aware Applications with RDMA-Based Distributed Shared Memory., , , , , and . J. Comput. Sci. Technol., 34 (1): 94-112 (2019)Towards Modeling Privacy in WiFi Fingerprinting Indoor Localization and its Application., and . JoWUA, 10 (1): 4-22 (2019)3D MIMO channel modeling for indoor communication at 2.4 GHz., , , , and . ISCIT, page 555-559. IEEE, (2016)