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Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Clustering ensemble is one of the most important problems in ensemble learning.
Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning
Our results show that the ORRS measurements, assisted by the machine-learning-based ensemble model developed here, can realize day-to-day supervision of on-road vehicle-specific emissions.
On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
In this paper, we introduce a new sensor-based control method that regulates (by means of robot motions) the heat transfer between a radiative source and an object of interest.
Robotics Systems and Control Systems and Control
