Negative updating applied to the best-of-n problem with noisy qualities
Sign Up to like & getrecommendations! Published in 2021 at "Swarm Intelligence"
DOI: 10.1007/s11721-021-00188-4
Abstract: The ability to perform well in the presence of noise is an important consideration when evaluating the effectiveness of a collective decision-making framework. Any system deployed for real-world applications will have to perform well in… read more here.
Keywords: noisy; best problem; negative updating; updating applied ... See more keywords
Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.087
Abstract: Abstract Quantum control is valuable for various quantum technologies such as high-fidelity gates for universal quantum computing, adaptive quantum-enhanced metrology, and ultra-cold atom manipulation. Although supervised machine learning and reinforcement learning are widely used for… read more here.
Keywords: noisy; quantum; greedy algorithms; quantum control ... See more keywords
Navigable Space Construction from Sparse Noisy Point Clouds
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3068939
Abstract: Robot navigation with noisy perception is a fundamental but challenging task. We present a framework for creating navigable space from cluttered point clouds generated by low-end sensors with high sparsity and noise. Our method incrementally… read more here.
Keywords: point clouds; space construction; navigable space; noisy ... See more keywords
Strong Coordination Over Noisy Channels
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2021.3063140
Abstract: We study the problem of strong coordination of the actions of two nodes $\mathsf X$ and $\mathsf Y$ that communicate over a discrete memoryless channel (DMC) such that the actions follow a prescribed joint probability… read more here.
Keywords: scheme; problem; coordination; strong coordination ... See more keywords
Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2023.3319657
Abstract: Network traffic classifiers of mobile devices are widely learned with federated learning(FL) for privacy preservation. Noisy labels commonly occur in each device and deteriorate the accuracy of the learned network traffic classifier. Existing noise elimination… read more here.
Keywords: noisy; traffic data; network traffic; noisy labeled ... See more keywords
Propagation based Recycling Contrastive Learning for Coupled Noisy Visible-Infrared Person Re-identification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3613106
Abstract: Visible-Infrared Person Re-Identification (VI-ReID) plays a crucial role in round-the-clock security surveillance systems, aiming to detect consistent identity recognition across transitions from day to night. A significant challenge in this field is the variation in… read more here.
Keywords: propagation; information; noisy; visible infrared ... See more keywords