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Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization.

, , and . ICMLA (1), page 606-609. IEEE, (2012)

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Introduction to the special section "pattern recognition for Recent and Future Advances On intelligent systems" (SS:ISPR22)., , and . Pattern Recognit. Lett., (February 2023)Gecikmesi zamanla değişen yapay sinir ağlarının kararlılık analizi (Stability analysis of neural networks with time varying delays). İstanbul University, Turkey, (2009)Global stability analysis of neural networks with multiple time varying delays., and . IEEE Trans. Autom. Control., 50 (11): 1781-1785 (2005)Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition., , , and . ICONIP (1), volume 9489 of Lecture Notes in Computer Science, page 208-215. Springer, (2015)Correntropy-Based Document Clustering via Nonnegative Matrix Factorization., , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 347-354. Springer, (2012)Performance analysis and improvement of machine learning algorithms for automatic modulation recognition over Rayleigh fading channels., , , , and . Neural Comput. Appl., 29 (9): 351-360 (2018)Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining., , , and . FedCSIS, page 11-16. (2013)Comparison of face recognition algorithms., and . SIU, page 1-4. IEEE, (2017)Decision of Neural Networks Hyperparameters with a Population-Based Algorithm., and . LOD, volume 11331 of Lecture Notes in Computer Science, page 276-281. Springer, (2018)Predictive churn analysis with machine learning methods., and . SIU, page 1-4. IEEE, (2018)