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Pattern recognition, ISSN 0031-3203, 2019, Volume 90, pp. 464 - 475
•ENMF introduces an elastic loss that takes advantage of both Frobenius norm and ℓ2, 1 norm when noise distribution is uncertain, therefore ENMF is far more... 
Elastic | Manifold | Clustering | Exclusive LASSO | NMF | Robust | RECOGNITION | TRACKING | REGULARIZATION | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Data mining | Analysis | Machine learning
Journal Article
Neural computation, ISSN 1530-888X, 2011, Volume 23, Issue 9, pp. 2421 - 2456
This letter describes algorithms for nonnegative matrix factorization (NMF) with the beta-divergence (beta-NMF... 
MULTIPLICATIVE UPDATE ALGORITHMS | SPACE RECONSTRUCTION ALGORITHM | ROBUST | NEUROSCIENCES | DISCOVERY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Engineering Sciences | Signal and Image Processing | Computer Science
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 06/2014, Volume 8, Issue 3, pp. 1 - 21
Journal Article
IEEE transactions on geoscience and remote sensing, ISSN 1558-0644, 2016, Volume 54, Issue 10, pp. 6076 - 6090
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2014, Volume 36, Issue 4, pp. 698 - 714
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2015, Volume 24, Issue 12, pp. 4810 - 4819
Journal Article
Information Sciences, ISSN 0020-0255, 10/2016, Volume 364-365, pp. 16 - 32
Nonnegative matrix factorization (NMF) has been successfully used in many fields as a low-dimensional representation method... 
Graph regularization | Face recognition | Nonnegative matrix factorization | Robust | PARTS | COMPUTER SCIENCE, INFORMATION SYSTEMS | MATRIX FACTORIZATION | Computer science | Algorithms | Noise | Classification | Norms | Feature extraction | Robustness | Factorization | Image classification
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 04/2017, Volume 11, Issue 3, pp. 1 - 30
.... In particular, for a dataset without any negative entries, nonnegative matrix factorization (NMF) is often used to find a low-rank approximation by the product of two nonnegative matrices... 
Nonnegative factorization | manifold | clustering | robust principal component analysis | Robust principal component analysis | Manifold | Clustering | COMPUTER SCIENCE, SOFTWARE ENGINEERING | NORM | COMPUTER SCIENCE, INFORMATION SYSTEMS | ALGORITHMS
Journal Article
IEEE transaction on neural networks and learning systems, ISSN 2162-2388, 2012, Volume 23, Issue 7, pp. 1087 - 1099
Journal Article
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, ISSN 0162-8828, 07/2013, Volume 35, Issue 7, pp. 1592 - 1605
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 04/2015, Volume 23, Issue 4, pp. 643 - 653
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 03/2014, Volume 24, Issue 3, pp. 374 - 383
Journal Article
The Journal of supercomputing, ISSN 1573-0484, 2018, Volume 74, Issue 10, pp. 5601 - 5624
Journal Article