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USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning.

, , , , , and . AAAI, page 10648-10656. AAAI Press, (2023)

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Fast and Efficient Deep Sparse Multi-Strength Spiking Neural Networks with Dynamic Pruning., , , , , and . IJCNN, page 1-8. IEEE, (2018)Low Latency Spiking ConvNets with Restricted Output Training and False Spike Inhibition., , , , , and . IJCNN, page 1-8. IEEE, (2018)Hybrid Kernel Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization., , , , , and . IEEE Trans. Vehicular Technology, 67 (3): 2824-2829 (2018)Indoors Locality Positioning Using Cognitive Distances and Directions., , and . Sensors, 17 (12): 2828 (2017)Precise 3D Indoor Localization and Trajectory Optimization Based on Sparse Wi-Fi FTM Anchors and Built-In Sensors., , , and . IEEE Trans. Veh. Technol., 71 (4): 4042-4056 (2022)Overview of methods for visual-aided pedestrian navigation., , and . UPINLBS, page 1-10. IEEE, (2010)NLOS Mitigation in Sparse Anchor Environments with the Misclosure Check Algorithm., , , , , , and . Remote Sensing, 11 (7): 773 (2019)Indoor Smartphone Localization: A Hybrid WiFi RTT-RSS Ranging Approach., , , , , and . IEEE Access, (2019)Utilizing pulsed pseudolites and high-sensitivity GNSS for ubiquitous outdoor/indoor satellite navigation., , , , , , and . IPIN, page 1-7. IEEE, (2012)Adaptive mobile tracking in unknown non-line-of-sight conditions with application to digital TV networks., , , and . EURASIP J. Adv. Signal Process., (2014)