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Rongyu Qiao, Guolin Yu
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Image classification with deep learning in the presence of noisy labels: A survey
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10.1016/j.neunet.2019.01.013 · doi-reference
Support vector machine classifier via L0/1 soft-margin loss
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10.1016/j.knosys.2022.110074 · doi-reference
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10.1016/j.neucom.2007.12.032 · doi-reference
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10.1016/j.neucom.2017.04.036 · doi-reference
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10.1016/j.patcog.2013.07.017 · doi-reference
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10.1016/j.patcog.2017.03.011 · doi-reference
Correntropy-based robust extreme learning machine for classification
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10.1561/2400000003 · doi-reference
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10.1016/j.neucom.2020.06.053 · doi-reference
Robust supervised and semi-supervised twin extreme learning machines for pattern classification
10.1016/j.sigpro.2020.107861 · doi-reference
Capped L1-norm distance metric-based fast robust twin extreme learning machine
10.1007/s10489-020-01757-6 · doi-reference
Joint sparse regularization based sparse semi-supervised extreme learning machine (S3ELM) for classification
10.1016/j.knosys.2014.09.014 · doi-reference
Tukeys biweight M-estimate with conjugate gradient adaptive learning
10.1109/lsp.2022.3167897 · doi-reference
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10.1109/tsp.2007.896065 · doi-reference
Robust subspace clustering by cauchy loss function
10.1109/tnnls.2018.2876327 · doi-reference
Regression quantiles
10.2307/1913643 · doi-reference
Laplacian Welsch regularization for robust semisupervised learning
10.1109/tcyb.2019.2953337 · doi-reference
Maximum likelihood optimal and robust support vector regression with lncosh loss function
10.1016/j.neunet.2017.06.008 · doi-reference
Robust estimation of a location parameter
10.1214/aoms/1177703732 · doi-reference
Extreme learning machine for regression and multiclass classification
10.1109/tsmcb.2011.2168604 · doi-reference
Support vector machine classifier with pinball loss
10.1109/tpami.2013.178 · doi-reference
The influence curve and its role in robust estimation
10.1080/01621459.1974.10482962 · doi-reference
Classification in the presence of label noise: a survey
10.1109/tnnls.2013.2292894 · doi-reference
Support-vector networks
10.1023/a:1022627411411 · doi-reference
Distributed optimization and statistical learning via the alternating direction method of multipliers
10.1561/2200000016 · doi-reference
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
10.1007/s10107-013-0701-9 · doi-reference
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward backward splitting, and regularized Gauss–Seidel methods
10.1007/s10107-011-0484-9 · doi-reference
Multiview hessian regularization for image annotation
10.1109/tip.2013.2255302 · doi-reference
Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-Łojasiewicz inequality
10.1287/moor.1100.0449 · doi-reference
Image classification with deep learning in the presence of noisy labels: A survey
10.1016/j.knosys.2021.106771 · doi-reference