Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710072
2. Northwestern Polytechnical University,School of Artificial Intelligence, OPtics and ElectroNics (iOPEN),Xi’an,China,710072
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447310.pdf?arnumber=10447310
Reference21 articles.
1. Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification
2. Discriminating Joint Feature Analysis for Multimedia Data Understanding
3. IoT malicious traffic identification using wrapper-based feature selection mechanisms
4. Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition
5. A review of feature selection methods in medical applications
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