Title
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.
Abstract
We propose a robust inductive semi-supervised label prediction model over the embedded representation, termed adaptive embedded label propagation with weight learning (AELP-WL), for classification. AELP-WL offers several properties. First, our method seamlessly integrates the robust adaptive embedded label propagation with adaptive weight learning into a unified framework. By minimizing the recons...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2727526
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Robustness,Adaptation models,Data models,Manifolds,Feature extraction,Sparse matrices,Predictive models
Data modeling,Pattern recognition,Computer science,Feature extraction,Robustness (computer science),Minification,Artificial intelligence,Approximation error,Sparse matrix,Manifold,Machine learning,Encoding (memory)
Journal
Volume
Issue
ISSN
29
8
2162-237X
Citations 
PageRank 
References 
8
0.45
26
Authors
6
Name
Order
Citations
PageRank
Zhao Zhang193865.99
Fan-Zhang Li216719.56
Lei Jia3142.92
Jie Qin416717.38
Li Zhang536339.03
Shuicheng Yan69701359.54