Unsupervised multi-view representation learning has been extensively stu...
Multi-label classification can effectively identify the relevant labels ...
Cross-network node classification (CNNC), which aims to classify nodes i...
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...
Segmenting overlapping cytoplasm of cells in cervical smear images is a
...
Exploiting more information from ground truth (GT) images now is a new
r...
In this paper, the task of cross-network node classification, which leve...
Data stream classification methods demonstrate promising performance on ...
Multi-view data are becoming common in real-world modeling tasks and man...
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...