Statistical Process Monitoring Based on General Semi–Nonnegative Matrix Factorization
Author:
Affiliation:
1. Northeastern University,College of Information Science and Engineering,Shenyang,China
2. Northeastern University,State Laboratory of Synthesis Automation of Process Industry,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552529.pdf?arnumber=10552529
Reference13 articles.
1. Statistical process monitoring: basics and beyond
2. Abnormal Condition Monitoring Based on Multiview Data Collaborative Feature Regression
3. Learning the parts of objects by non-negative matrix factorization
4. Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion
5. Convex and Semi-Nonnegative Matrix Factorizations
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