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Bilateral Grid Learning for Stereo Matching Network
The real-time performance of the stereo matching network is important fo...
01/01/2021 ∙ by Bin Xu, et al. ∙
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Cloud-Based Dynamic Programming for an Electric City Bus Energy Management Considering Real-Time Passenger Load Prediction
Electric city bus gains popularity in recent years for its low greenhous...
10/28/2020 ∙ by Junzhe Shi, et al. ∙
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Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
Reinforcement Learning (RL) is widely utilized in the field of robotics,...
10/27/2020 ∙ by Bin Xu, et al. ∙
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Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Propulsion system electrification revolution has been undergoing in the ...
10/27/2020 ∙ by Bin Xu, et al. ∙
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PAS: Prediction-based Adaptive Sleeping for Environment Monitoring in Sensor Networks
Energy efficiency has proven to be an important factor dominating the wo...
03/06/2020 ∙ by Zheng Yang, et al. ∙
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Model reconstruction from temporal data for coupled oscillator networks
In a complex system, the interactions between individual agents often le...
05/04/2019 ∙ by Mark J Panaggio, et al. ∙
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Convergence analysis of beetle antennae search algorithm and its applications
The beetle antennae search algorithm was recently proposed and investiga...
04/04/2019 ∙ by Yinyan Zhang, et al. ∙
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Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots
Many telepresence robots are equipped with a forward-facing camera for v...
03/15/2019 ∙ by Yanmei Dong, et al. ∙
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Raising Awareness of Conveyed Personality In Social Media Traces
Users' persistent social media contents like posts on Facebook Timeline ...
10/11/2017 ∙ by Bin Xu, et al. ∙
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Robustness of Maximum Correntropy Estimation Against Large Outliers
The maximum correntropy criterion (MCC) has recently been successfully a...
03/23/2017 ∙ by Badong Chen, et al. ∙
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Maximum Correntropy Unscented Filter
The unscented transformation (UT) is an efficient method to solve the st...
08/26/2016 ∙ by Xi Liu, et al. ∙
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Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
Nonlinear similarity measures defined in kernel space, such as correntro...
08/01/2016 ∙ by Badong Chen, et al. ∙
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