Title
Auto-Weighted Multi-view Learning for Image Clustering and Semi-supervised Classification.
Abstract
Due to the efficiency of learning relationships and complex structures hidden in data, graph-oriented methods have been widely investigated and achieve promising performance. Generally, in the field of multi-view learning, these algorithms construct informative graph for each view, on which the following clustering or classification procedure are based. However, in many real-world data sets, origi...
Year
DOI
Venue
2018
10.1109/TIP.2017.2754939
IEEE Transactions on Image Processing
Keywords
Field
DocType
Tensile stress,Clustering algorithms,Kernel,Manifolds,Correlation,Laplace equations,Clustering methods
Data set,One-class classification,Correlation clustering,Pattern recognition,Consensus clustering,Artificial intelligence,Conceptual clustering,Cluster analysis,Contextual image classification,Mathematics,Multiclass classification
Journal
Volume
Issue
ISSN
27
3
1057-7149
Citations 
PageRank 
References 
51
0.91
39
Authors
4
Name
Order
Citations
PageRank
Feiping Nie17061309.42
Guohao Cai2733.61
Jing Li3713.65
Xuelong Li415049617.31