Results 51 to 60 of about 1,526 (199)
Maximum Correntropy Criterion with Distributed Method
Mathematics, 2022 The Maximum Correntropy Criterion (MCC) has recently triggered enormous research activities in engineering and machine learning communities since it is robust when faced with heavy-tailed noise or outliers in practice.
Fan Xie +3 more
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Consformer: Consciousness Detection Using Transformer Networks With Correntropy-Based Measures
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Consciousness detection is important in diagnosis and treatment of disorders of consciousness (DOC). Recent studies have demonstrated that electroencephalography (EEG) signals contain effective information for consciousness state evaluation.
Xuyun Sun +5 more
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Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution [PDF]
, 2011 The recently introduced correntropy function is an interesting and useful similarity measure between two random variables which has found myriad applications in signal processing. A series expansion for correntropy in terms of higher-order moments of the
A.T. Walden +5 more
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A Feature-Cascaded Correntropy LSTM for Tourists Prediction
IEEE Access, 2021 Forecasting the number of tourists is significant to public safety, which can enable the government to control the sudden influx of tourists timely. The temporal dependence (closeness and period), external factors such as holidays, government policy, as ...
Yuehai Chen +4 more
doaj +1 more source
Correntropy as a Novel Measure for Nonlinearity Tests
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aysegul Gunduz +2 more
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Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 754-768, June 2026.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
wiley +1 more source
, 2018 A proportionate-type normalized maximum correntropy criterion (PNMCC) with a correntropy induced metric (CIM) zero attraction terms is presented, whose performance is also discussed for identifying sparse systems.
Yingsong Li, Yanyan Wang, Laijun Sun
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EURASIP Journal on Advances in Signal Processing, 2019 The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino +4 more
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Remote Sensing, 2023 In hidden Markov chain (HMC) models, widely used for target tracking, the process noise and measurement noise are in general assumed to be independent and Gaussian for mathematical simplicity.
Guanghua Zhang +5 more
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Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source