This paper addresses the problem of classification when target data are subject to feature
uncertainties. A robust approach based on Sobol sensitivity analysis is proposed to improve …

As an emerging type of spatio-temporal big data based on positioning technology and
navigation devices, vehicle-based crowdsourcing data has become a valuable trajectory …

Reliable image classification results are crucial for the application of remote sensing
images, but the reliability of image classification has received less attention. In particular, the …

Fine-grained image categorization is challenging due to the subordinate categories within
an entry-level category can only be distinguished by subtle discriminations. This …

The reliability of remote sensing (RS) image classification is crucial for applying RS image
classification results. However, it has received minimal attention, especially the uncertainty …

In this paper, we present a novel incremental and decremental learning method for the least-
squares support vector machine (LS-SVM). The goal is to adapt a pre-trained model to …

With the emergence of the IoT paradigm, manufacturing industries are opting for new
technologies for data collection and analysis to evaluate the quality of their manufacturing …

it estimates a healthy engineered to be faulty, resulting unnecessary system shutdown,
inspection, and–in the case of incorrect inspection–unnecessary system repair or …