Stopping Criteria for Non-Negative Matrix Factorization Based Supervised and Semi-Supervised Source Separation.
François G. GermainGautham J. MysorePublished in: IEEE Signal Process. Lett. (2014)
Keyphrases
- negative matrix factorization
- stopping criteria
- source separation
- blind source separation
- document clustering
- matrix factorization
- clustering algorithm
- principal component analysis
- spectral clustering
- sparse representation
- independent component analysis
- unlabeled data
- semi supervised
- machine learning
- data analysis
- signal processing