Title | ||
---|---|---|
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. |
Abstract | ||
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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 Zhang | 1 | 938 | 65.99 |
Fan-Zhang Li | 2 | 167 | 19.56 |
Lei Jia | 3 | 14 | 2.92 |
Jie Qin | 4 | 167 | 17.38 |
Li Zhang | 5 | 363 | 39.03 |
Shuicheng Yan | 6 | 9701 | 359.54 |