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2,592 papers
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu +1
Partial multi-label learning (PML) aims to train a classifier on datasets whose instances are over-annotated with not only relevant labels but also irrelevant labels, which is comm…
WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
Yulin Wang, Mengting Hu, Hongli Li +2
Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects. This paper introduces WAPR, a zero-shot wide-angle pose refinement model th…
A Distributed Step-by-step Finite-time Consensus Design for Heterogeneous Battery Energy Storage Devices with Droop Control
Yalin Zhang, Yunzhong Song, Shumin Fei
As all generators are distributed in different areas among large scale power systems, the cooperative manipulation of the multi-generator system cannot be done well without conside…
An Adaptive Longitudinal Platooning Design Based On Concurrent Learning
Qiuhao Wen, Di Liu, Jiwei Wang +1
This work proposes a new adaptive longitudinal platooning strategy in the framework of concurrent learning. Adaptive refers to vehicles facing uncertainty in powertrain parameters…
Correct Online Estimation of the Powertrain Time Constants in Adaptive Vehicular Platooning
Qiuhao Wen, Simone Baldi, Jiwei Wang +2
In longitudinal platooning, some key sources of uncertainty are the powertrain time constants of the vehicles. Because such time constants appear in the input matrix of the platoon…
Enforcing Opacity in Discrete Event Systems via Delayed Observations
Jiwei Wang, Simone Baldi, Wenwu Yu +1
Artificially introducing a delay in the observations of a system can be an effective mechanism to mask the system itself, with the goal to increase its opacity and thus its securit…