publié le: 2020
Understanding temporal dependencies of videos is fundamental for vision problems, but deep learning-based models are still insufficient in this field....
Event recognition in surveillance video has gained extensive attention from the computer vision community. This process still faces enormous challenge...
Clustering is an important issue in brain medical image segmentation. Original medical images used for clinical diagnosis are often insufficient for c...
publié le: 2021
( Aim ) Multiple sclerosis is a neurological condition that may cause neurologic disability. Convolutional neural network can achieve good results, bu...
To effectively identify electroencephalogram (EEG) signals in multiple-source domains, a multiple-source transfer learning-based Takagi-Sugeno-Kang (T...
