Unsupervised multi-view representation learning has been extensively stu...
Multi-label classification can effectively identify the relevant labels ...
Traditional segmentation methods for colonic polyps are mainly designed ...
Model transparency, label correlation learning and the robust-ness to la...
Fuzzy systems (FSs) have enjoyed wide applications in various fields,
in...
Multi-view data are commonly encountered in data mining applications.
Ef...
Data collected by multiple methods or from multiple sources is called
mu...
Data stream classification methods demonstrate promising performance on ...
Multi-view data are becoming common in real-world modeling tasks and man...
As the multi-view data grows in the real world, multi-view clus-tering h...
Multi-view clustering has received much attention recently. Most of the
...
The methods of extracting image features are the key to many image proce...
Domain adaptation aims to assist the modeling tasks of the target domain...
The superior interpretability and uncertainty modeling ability of
Takagi...
Transfer learning can address the learning tasks of unlabeled data in th...
Multi-view datasets are frequently encountered in learning tasks, such a...