We develop a robust quaternion recurrent neural network (QRNN) for real-time processing of 3D and 4D data with outliers. This is achieved by combining the real-time recurrent learning (RTRL) algorithm and the maximum correntropy criterion (MCC) as a loss
Mandic, Danilo P. +2 more
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GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy
, 2018 © 2012 IEEE. GoDec is an efficient low-rank matrix decomposition algorithm. However, optimal performance depends on sparse errors and Gaussian noise. This paper aims to address the problem that a matrix is composed of a low-rank component and unknown ...
Tao, Dacheng +14 more
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Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm. [PDF]
Entropy (Basel), 2022 Zhao J, Mu Y, Qiao Y, Li Q.
europepmc +1 more source
, 2017 © 1992-2012 IEEE. Multi-label learning draws great interests in many real world applications. It is a highly costly task to assign many labels by the oracle for one instance.
Wang, Z, Du, B, Zhang, L, Tao, D
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A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter. [PDF]
Entropy (Basel), 2023 Qi D, Feng J, Li Y, Wang L, Song B.
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Maximum Correntropy with Variable Center Unscented Kalman Filter for Robust Power System State Estimation. [PDF]
Entropy (Basel), 2022 Sun Z, Liu C, Peng S.
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Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise. [PDF]
Entropy (Basel), 2022 Li X, Guo Y, Meng Q.
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State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. [PDF]
Sensors (Basel), 2022 Navega Vieira R +3 more
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Adaptive Pressure Control System Based on the Maximum Correntropy Criterion. [PDF]
Sensors (Basel), 2021 Flores TKS +3 more
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Student's t-Kernel-Based Maximum Correntropy Kalman Filter. [PDF]
Sensors (Basel), 2022 Huang H, Zhang H.
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