Image segmentation plays an essential role in nuclei image analysis.
Rec...
For many real-world time series tasks, the computational complexity of
p...
Chest radiographs are the most commonly performed radiological examinati...
The deep learning, which is a dominating technique in artificial
intelli...
A road is the skeleton of a city and is a fundamental and important
geog...
Autonomous driving requires a comprehensive understanding of the surroun...
Reliable and efficient validation technologies are critical for the rece...
Image segmentation is a key step for medical image analysis. Approaches ...
Connected and automated vehicles have shown great potential in improving...
Multi-lane roads are typical scenarios in the real-world traffic system....
In this paper, we propose a maximum entropy method for predicting diseas...
For basic machine learning problems, expected error is used to evaluate ...
Person re-identification (ReID) is an essential cross-camera retrieval t...
In this paper, we consider a class of nonlinear regression problems with...