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Kernel adaptive filtering: a comprehensive introduction

1, 2010

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Generalized Correntropy for Robust Adaptive Filtering

IEEE transactions on signal processing, 2016-07, Vol.64 (13), p.3376-3387

2016

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Maximum Correntropy Estimation Is a Smoothed MAP Estimation

IEEE signal processing letters, 2012-08, Vol.19 (8), p.491-494

2012

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Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

IEEE signal processing letters, 2015-10, Vol.22 (10), p.1723-1727

2015

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Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

IEEE signal processing letters, 2014-07, Vol.21 (7), p.880-884

2014

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Kernel least mean square with adaptive kernel size

Neurocomputing (Amsterdam), 2016-05, Vol.191, p.95-106

2016

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Modularizing Deep Learning via Pairwise Learning With Kernels

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1441-1451

2022

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Maximum Correntropy Criterion With Variable Center

IEEE signal processing letters, 2019-08, Vol.26 (8), p.1212-1216

2019

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Insights Into the Robustness of Minimum Error Entropy Estimation

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.731-737

2018

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Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

IEEE transactions on pattern analysis and machine intelligence, 2020-11, Vol.42 (11), p.1-1

2020

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Minimum Error Entropy Kalman Filter

IEEE transactions on systems, man, and cybernetics. Systems, 2021-09, Vol.51 (9), p.5819-5829

2021

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Autonomous Learning Multimodel Systems From Data Streams

IEEE transactions on fuzzy systems, 2018-08, Vol.26 (4), p.2213-2224

2018

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Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.5156-5170

2023

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A Taxonomy for Neural Memory Networks

IEEE transaction on neural networks and learning systems, 2020-06, Vol.31 (6), p.1780-1793

2020

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Functional Bayesian Filter

IEEE transactions on signal processing, 2022, Vol.70, p.57-71

2022

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Kernel minimum error entropy algorithm

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.160-169

2013

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Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion

IEEE transactions on circuits and systems. I, Regular papers, 2019-11, Vol.66 (11), p.4265-4277

2019

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Correntropy: Properties and Applications in Non-Gaussian Signal Processing

IEEE transactions on signal processing, 2007-11, Vol.55 (11), p.5286-5298

2007

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A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals - Comparison With Analog Version

IEEE transactions on biomedical circuits and systems, 2024-08, Vol.18 (4), p.861-871

2024

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Quantized Minimum Error Entropy Criterion

IEEE transaction on neural networks and learning systems, 2019-05, Vol.30 (5), p.1370-1380

2019

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Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models

Neural computation, 2021-04, Vol.33 (5), p.1164-1198

2021

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The C-loss function for pattern classification

Pattern recognition, 2014-01, Vol.47 (1), p.441-453

2014

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The Kernel Least-Mean-Square Algorithm

IEEE transactions on signal processing, 2008-02, Vol.56 (2), p.543-554

2008

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MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function

IEEE transactions on signal processing, 2021, Vol.69, p.6039-6054

2021

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Fixed budget quantized kernel least-mean-square algorithm

Signal processing, 2013-09, Vol.93 (9), p.2759-2770

2013

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Kernel adaptive filtering: a comprehensive introduction

Generalized Correntropy for Robust Adaptive Filtering

Maximum Correntropy Estimation Is a Smoothed MAP Estimation

Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

Kernel least mean square with adaptive kernel size

Modularizing Deep Learning via Pairwise Learning With Kernels

Maximum Correntropy Criterion With Variable Center

Insights Into the Robustness of Minimum Error Entropy Estimation

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

Minimum Error Entropy Kalman Filter

Autonomous Learning Multimodel Systems From Data Streams

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

A Taxonomy for Neural Memory Networks

Functional Bayesian Filter

Kernel minimum error entropy algorithm

Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion

Correntropy: Properties and Applications in Non-Gaussian Signal Processing

A Standard-Cell-Based Neuro-Inspired Integrate-and-Fire Analog-to-Time Converter for Biological and Low-Frequency Signals - Comparison With Analog Version

Quantized Minimum Error Entropy Criterion

Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models

The C-loss function for pattern classification

The Kernel Least-Mean-Square Algorithm

MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function

Fixed budget quantized kernel least-mean-square algorithm

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