Learning robust feature matching between the template and search area is...
Edge caching will play a critical role in facilitating the emerging
cont...
In this paper, we propose Ensemble Learning models to identify factors
c...
In hyperspectral image (HSI) classification, spatial context has demonst...
Driving datasets accelerate the development of intelligent driving and
r...
Principal component analysis (PCA) is by far the most widespread tool fo...
The world is witnessing an unprecedented growth of cyber-physical system...
Low-rank tensor regression, a new model class that learns high-order
cor...