Badong Chen
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Researcher ORCID ID = 0000-0003-1710-3818
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(Suggest an Edit or Addition)Badong Chen's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Generalized Correntropy for Robust Adaptive Filtering (2015) (443)
- Maximum correntropy Kalman filter (2015) (425)
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information (2020) (415)
- Quantized Kernel Least Mean Square Algorithm (2012) (371)
- Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion (2014) (348)
- Similarity Learning with Spatial Constraints for Person Re-identification (2016) (346)
- Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information. (2013) (311)
- Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion (2015) (249)
- Maximum Correntropy Estimation Is a Smoothed MAP Estimation (2012) (209)
- Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments (2015) (186)
- Kernel adaptive filtering with maximum correntropy criterion (2011) (176)
- Quantized Kernel Recursive Least Squares Algorithm (2013) (168)
- Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone (2017) (149)
- System Parameter Identification: Information Criteria and Algorithms (2013) (136)
- Hybrid-augmented intelligence: collaboration and cognition (2017) (135)
- Kernel recursive maximum correntropy (2015) (124)
- Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering (2016) (122)
- Diffusion maximum correntropy criterion algorithms for robust distributed estimation (2015) (94)
- Mixture correntropy for robust learning (2018) (92)
- Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications (2019) (88)
- Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics (2018) (85)
- Kernel least mean square with adaptive kernel size (2014) (83)
- Maximum correntropy unscented filter (2016) (80)
- Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise (2016) (74)
- Brain-Inspired Cognitive Model With Attention for Self-Driving Cars (2017) (73)
- Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion (2010) (70)
- Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion (2015) (69)
- Fixed budget quantized kernel least-mean-square algorithm (2013) (68)
- Efficient and robust deep learning with Correntropy-induced loss function (2016) (63)
- A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes (2016) (63)
- Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification (2016) (59)
- Minimum Error Entropy Kalman Filter (2019) (58)
- Survival Information Potential: A New Criterion for Adaptive System Training (2012) (58)
- Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum] (2015) (57)
- Constrained maximum correntropy adaptive filtering (2016) (55)
- Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm (2016) (54)
- Robust rigid registration algorithm based on pointwise correspondence and correntropy (2020) (53)
- Maximum Correntropy Criterion With Variable Center (2019) (53)
- Analysis and Optimization of a New 2-D Magnet Array for Planar Motor (2010) (52)
- Extended Kalman filter under maximum correntropy criterion (2016) (52)
- Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction (2017) (51)
- Robust Learning With Kernel Mean $p$ -Power Error Loss (2016) (50)
- Robust MIMO radar target localization via nonconvex optimization (2016) (50)
- Optimization of Voice Coil Motor to Enhance Dynamic Response Based on an Improved Magnetic Equivalent Circuit Model (2011) (47)
- Robust semi-supervised nonnegative matrix factorization for image clustering (2020) (45)
- Improved functional link artificial neural network via convex combination for nonlinear active noise control (2016) (44)
- Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion (2022) (43)
- Mean square convergence analysis for kernel least mean square algorithm (2012) (43)
- Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets (2017) (43)
- Correntropy-Based Evolving Fuzzy Neural System (2018) (42)
- Maximum Correntropy Kalman Filter With State Constraints (2017) (42)
- Maximum total correntropy adaptive filtering against heavy-tailed noises (2017) (42)
- Sparse Support Matrix Machine (2018) (42)
- Insights Into the Robustness of Minimum Error Entropy Estimation (2018) (42)
- Unscented Kalman Filter With Generalized Correntropy Loss for Robust Power System Forecasting-Aided State Estimation (2019) (42)
- Random Fourier Filters Under Maximum Correntropy Criterion (2018) (40)
- Extreme Learning Machine With Affine Transformation Inputs in an Activation Function (2019) (40)
- A survey on active noise control in the past decade - Part I: Linear systems (2021) (40)
- Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion (2018) (39)
- Kernel minimum error entropy algorithm (2013) (39)
- A survey on active noise control in the past decade-Part II: Nonlinear systems (2021) (38)
- Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS (2014) (36)
- Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter (2020) (36)
- An adaptive kernel width update method of correntropy for channel estimation (2015) (36)
- Smoothed least mean p-power error criterion for adaptive filtering (2015) (35)
- Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation (2015) (35)
- A novel sign adaptation scheme for convex combination of two adaptive filters (2015) (34)
- An adaptive kernel width update for correntropy (2012) (34)
- M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements (2020) (34)
- Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion (2019) (33)
- Collaborative adaptive Volterra filters for nonlinear system identification in α-stable noise environments (2016) (32)
- Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization (2019) (32)
- Quantized Minimum Error Entropy Criterion (2017) (32)
- Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering (2021) (31)
- A robust band-dependent variable step size NSAF algorithm against impulsive noises (2016) (30)
- Kernel adaptive filtering under generalized Maximum Correntropy Criterion (2016) (30)
- Time series prediction using kernel adaptive filter with least mean absolute third loss function (2017) (29)
- Sparse normalized subband adaptive filter algorithm with l0-norm constraint (2016) (29)
- A Separable Maximum Correntropy Adaptive Algorithm (2020) (29)
- Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing (2016) (29)
- Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments (2018) (28)
- Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection (2019) (28)
- Deep Weighted Extreme Learning Machine (2018) (28)
- A switch kernel width method of correntropy for channel estimation (2015) (28)
- Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer (2017) (28)
- Regularized correntropy criterion based semi-supervised ELM (2020) (27)
- Insights into Entropy as a Measure of Multivariate Variability (2016) (27)
- A novel extended kernel recursive least squares algorithm (2012) (27)
- State space maximum correntropy filter (2017) (26)
- Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns With a Reproducing Kernel Hilbert Space (RKHS) Framework (2013) (26)
- Online efficient learning with quantized KLMS and L1 regularization (2012) (26)
- Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control (2020) (25)
- Convergence performance analysis of an adaptive kernel width MCC algorithm (2017) (25)
- Broad Learning System Based on Maximum Correntropy Criterion (2019) (25)
- Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning (2022) (25)
- General Mixed-Norm-Based Diffusion Adaptive Filtering Algorithm for Distributed Estimation Over Network (2017) (24)
- Maximum Total Correntropy Diffusion Adaptation Over Networks With Noisy Links (2018) (24)
- Robust orthogonal nonnegative matrix tri-factorization for data representation (2020) (23)
- Bias compensated zero attracting normalized least mean square adaptive filter and its performance analysis (2018) (23)
- Robust echo state networks based on correntropy induced loss function (2017) (23)
- Surface EMG Decoding for Hand Gestures Based on Spectrogram and CNN-LSTM (2019) (23)
- Convex regularized recursive maximum correntropy algorithm (2016) (23)
- Affine-Projection Lorentzian Algorithm for Vehicle Hands-Free Echo Cancellation (2021) (22)
- Convergence of a Fixed-Point Minimum Error Entropy Algorithm (2015) (22)
- Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input (2017) (22)
- Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences (2015) (22)
- State feedback controller design of networked control systems with time delay and packet dropout (2008) (21)
- A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Measurement Bias (2020) (21)
- Kernel recursive generalized mixed norm algorithm (2017) (21)
- Recursive Generalized Maximum Correntropy Criterion Algorithm with Sparse Penalty Constraints for System Identification (2017) (21)
- Minimum Error Entropy Algorithms with Sparsity Penalty Constraints (2015) (20)
- A contralateral channel guided model for EEG based motor imagery classification (2018) (19)
- A correntropy inspired variable step-size sign algorithm against impulsive noises (2017) (19)
- Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty (2016) (19)
- Proportionate Minimum Error Entropy Algorithm for Sparse System Identification (2015) (19)
- Robust Normalized Least Mean Absolute Third Algorithms (2019) (19)
- Numerically stable minimum error entropy Kalman filter (2021) (19)
- Accurate Pedestrian Detection by Human Pose Regression (2020) (19)
- Nonlinear spline adaptive filtering under maximum correntropy criterion (2015) (18)
- Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion (2020) (18)
- On the Smoothed Minimum Error Entropy Criterion (2012) (18)
- A variable step-size adaptive algorithm under maximum correntropy criterion (2015) (17)
- Convergence analysis of nonlinear Kalman filters with novel innovation-based method (2018) (17)
- Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments (2017) (17)
- Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees (2019) (17)
- Stochastic gradient identification of Wiener system with maximum mutual information criterion (2011) (17)
- Correntropy based graph regularized concept factorization for clustering (2018) (17)
- Correntropy-Based Multiview Subspace Clustering (2019) (17)
- Adaptive recursive algorithm with logarithmic transformation for nonlinear system identification in α-stable noise (2015) (17)
- Quantised kernel least mean square with desired signal smoothing (2015) (16)
- Some Further Results on the Minimum Error Entropy Estimation (2012) (16)
- Kernel Least Mean Kurtosis Based Online Chaotic Time Series Prediction (2013) (16)
- Random fourier feature kernel recursive least squares (2017) (16)
- Extended Kalman filter using a kernel recursive least squares observer (2011) (16)
- EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System (2020) (16)
- Fixed-Point Minimum Error Entropy With Fiducial Points (2020) (16)
- Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks (2016) (16)
- Adaptive filtering with quantized minimum error entropy criterion (2020) (16)
- Robust adaptive sparse channel estimation in the presence of impulsive noises (2015) (15)
- Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss (2019) (15)
- Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises (2018) (15)
- Robust Adaptive Algorithm for Smart Antenna System With $\alpha$ -Stable Noise (2018) (15)
- Self-organizing kernel adaptive filtering (2016) (15)
- Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration (2014) (15)
- Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis (2020) (15)
- Δ-Entropy: Definition, properties and applications in system identification with quantized data (2011) (14)
- An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization (2017) (14)
- Multivariate Correlation Entropy and Law Discovery in Large Data Sets (2018) (14)
- On optimal estimations with minimum error entropy criterion (2010) (14)
- Modeling and Control of Networked Control Systems (2006) (13)
- Intelligent Scheduling Control of Networked Control Systems with Networked-induced Delay and Packet Dropout (2008) (13)
- Correntropy induced joint power and admission control algorithm for dense small cell network (2016) (13)
- Maximum correntropy adaptation approach for robust compressive sensing reconstruction (2019) (13)
- Illumination Robust Color Naming via Label Propagation (2015) (13)
- Kernel robust mixed-norm adaptive filtering (2014) (13)
- Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion (2018) (13)
- Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding (2021) (13)
- Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification (2017) (12)
- Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data (2018) (12)
- Personalized gait trajectory generation based on anthropometric features using Random Forest (2019) (12)
- An Adaptive Rapidly-Exploring Random Tree (2022) (12)
- A Novel Mixture Distributions-Based Robust Kalman Filter for Cooperative Localization (2020) (12)
- Robust nonnegative matrix factorization with local coordinate constraint for image clustering (2020) (12)
- Linear Kalman Filtering Algorithm With Noisy Control Input Variable (2019) (12)
- Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis (2021) (12)
- Stabilization of networked control systems with time delay and packet dropout - part II (2007) (12)
- Forced vibration analysis of multi-cracked Timoshenko beam with the inclusion of damping by virtue of Green’s functions (2019) (12)
- Improved affine projection subband adaptive filter for high background noise environments (2017) (11)
- Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee (2020) (11)
- Intelligent Scheduling Controller Design for Networked Control Systems Based on Estimation of Distribution Algorithm (2008) (11)
- A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections (2017) (11)
- Hardware implementation of KLMS algorithm using FPGA (2014) (11)
- Recursive least mean p-power Extreme Learning Machine (2017) (10)
- Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection (2020) (10)
- Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network (2016) (10)
- Functional Source Separation for EEG-fMRI Fusion: Application to Steady-State Visual Evoked Potentials (2019) (10)
- Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration (2022) (10)
- Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model (2012) (10)
- A Joint Stochastic Gradient Algorithm and Its Application to System Identification with RBF Networks (2006) (10)
- Survival kernel with application to kernel adaptive filtering (2013) (10)
- Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction (2016) (10)
- Mixture Correntropy-Based Kernel Extreme Learning Machines (2020) (9)
- Efficient correntropy-based multi-view clustering with anchor graph embedding (2021) (9)
- Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation (2019) (9)
- Asymmetric Correntropy for Robust Adaptive Filtering (2019) (9)
- Incremental Adaptive EEG Classification of Motor Imagery-based BCI (2018) (9)
- Robust digital non-linear self-interference cancellation in full duplex radios with maximum correntropy criterion (2016) (9)
- Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise (2022) (9)
- Adaptive filtering under maximum mutual information criterion (2008) (9)
- A Simple State Feedback Controller Design Method of Networked Control Systems with Time Delay and Pa (2008) (8)
- Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric (2018) (8)
- Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation (2019) (8)
- A variable step-size SIG algorithm for realizing the optimal adaptive FIR filter (2011) (8)
- Nonlinear Adaptive Filtering in Kernel Spaces (2014) (8)
- A new interpretation on the MMSE as a robust MEE criterion (2010) (8)
- Multikernel Correntropy for Robust Learning (2019) (8)
- Risk-sensitive loss in kernel space for robust adaptive filtering (2015) (8)
- Cooperative spectrum sensing in cognitive radio networks with Kernel Least Mean Square (2015) (8)
- System Identification Under Information Divergence Criteria (2013) (8)
- Sparsity Constrained Recursive Generalized Maximum Correntropy Criterion With Variable Center Algorithm (2020) (8)
- Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification (2020) (8)
- Correntropy induced metric based common spatial patterns (2017) (8)
- Set-membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation (2015) (8)
- Restricted Minimum Error Entropy Criterion for Robust Classification (2019) (8)
- Sequential extreme learning machine incorporating survival error potential (2015) (7)
- Sparse Normalized Least Mean Absolute Deviation Algorithm Based on Unbiasedness Criterion for System Identification With Noisy Input (2018) (7)
- Adaptive filtering under minimum information divergence criterion (2009) (7)
- Sparsity aware minimum error entropy algorithms (2015) (7)
- Dual semi-supervised convex nonnegative matrix factorization for data representation (2021) (7)
- RGB-D point cloud registration via infrared and color camera (2019) (7)
- Measure observability by the generalized informational correlation (2007) (7)
- Stabilization of networked control systems with time delay and packet dropout - part I (2007) (7)
- A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States (2019) (7)
- Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression (2018) (6)
- Probability Density Rank-Based Quantization for Convex Universal Learning Machines (2020) (6)
- Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty (2015) (6)
- Online robust echo state broad learning system (2021) (6)
- A Novel Robust Kalman Filtering Framework Based on Normal-Skew Mixture Distribution (2021) (6)
- Robustness of Maximum Correntropy Estimation Against Large Outliers (2017) (6)
- Robust Adaptive Inverse Control Based on Maximum Correntropy Criterion (2015) (6)
- Trimmed affine projection algorithms (2014) (6)
- Extract EEG Features by Combining Power Spectral Density and Correntropy Spectral Density (2019) (6)
- Kernel Online Learning Algorithm With Scale Adaptation (2018) (6)
- Information evolutions in the linear stochastic control systems (2008) (6)
- Bias‐compensated normalised least mean square with variable step size algorithm for three‐phase power system frequency estimation (2019) (5)
- Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification (2018) (5)
- Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering (2021) (5)
- Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion (2020) (5)
- Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot (2016) (5)
- A novel spiking neural network of receptive field encoding with groups of neurons decision (2018) (5)
- Chapter 24 - Information Based Learning (2014) (5)
- Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning (2021) (5)
- Partial Discharge Signal Denoising with Recursive Continuous S-Shaped Algorithm in Cables (2021) (5)
- ADAPTIVE FILTERING WITH ADAPTIVE p-POWER ERROR CRITERION (2011) (5)
- Efficient and Robust MultiView Clustering With Anchor Graph Regularization (2022) (5)
- Information Theoretic Interpretation of Error Criteria (2009) (5)
- Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction (2017) (5)
- Robust Matching Pursuit Extreme Learning Machines (2018) (5)
- Feature selection based on survival Cauchy-Schwartz mutual information (2014) (5)
- Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion (2022) (5)
- Robust stable iterated unscented Kalman filter based on maximum correntropy criterion (2022) (4)
- Robust sparse nonnegative matrix factorization based on maximum correntropy criterion (2018) (4)
- Square Root Unscented Kalman Filter With Modified Measurement for Dynamic State Estimation of Power Systems (2022) (4)
- Kernel least mean square based on conjugate gradient (2017) (4)
- Cascaded Random Fourier Filter for Robust Nonlinear Active Noise Control (2022) (4)
- Bias-compensated normalized least mean absolute deviation algorithm with noisy input (2017) (4)
- ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization. (2022) (4)
- Transductive Semisupervised Deep Hashing (2021) (4)
- System Identification Based on Mutual Information Criteria (2013) (4)
- KLMAT: A Kernel Least Mean Absolute Third Algorithm (2016) (4)
- Proportionate adaptive filtering algorithms based on mixed square/fourth error criterion with unbiasedness criterion for sparse system identification (2018) (4)
- Feature-Specific Denoising of Neural Activity for Natural Image Identification (2021) (3)
- Kernel Adaptive Hammerstein Filter (2018) (3)
- A reconfigurable parallel acceleration platform for evaluation of permutation entropy (2014) (3)
- Improvement in EEG Source Imaging Accuracy by Means of Wavelet Packet Transform and Subspace Component Selection (2021) (3)
- Robust diffusion recursive adaptive filtering algorithm based on l p -norm (2016) (3)
- Robust Learning With Kernel Mean <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>-Power Error Loss (2018) (3)
- A survey on active noise control techniques - Part II: Nonlinear systems (2021) (3)
- Variable-mixing parameter quantized kernel robust mixed-norm algorithms for combating impulsive interference (2015) (3)
- Theoretical Methods in Machine Learning (2015) (3)
- Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient (2017) (3)
- Cross multivariate correlation coefficients as screening tool for analysis of concurrent EEG‐fMRI recordings (2018) (3)
- Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting (2021) (3)
- Reconstruction of Visual Image From Functional Magnetic Resonance Imaging Using Spiking Neuron Model (2018) (3)
- BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck (2022) (3)
- Mixed-Norm Based Broad Learning System for EEG Classification (2019) (3)
- Quaternion least mean kurtosis algorithm for adaptive filtering of 3D and 4D signal processes (2017) (3)
- Multi-style learning for adaptation of perception intelligence in home service robots (2021) (3)
- Robust 2D point set matching with Kernel mean P-power error loss (2017) (3)
- A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis (2018) (3)
- State space least p-power filter (2017) (3)
- Density-dependent quantized kernel least mean square (2016) (2)
- Kernel adaptive filtering with confidence intervals (2013) (2)
- General Robust Subband Adaptive Filtering: Algorithms and Applications (2022) (2)
- Characteristics of EEG Microstate Sequences During Propofol-Induced Alterations of Brain Consciousness States (2022) (2)
- Random Fourier Features Based Extended Kernel Recursive Least Squares with Application to fMRI Decoding (2018) (2)
- Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss (2018) (2)
- Parameter identifiability with Kullback–Leibler information divergence criterion (2009) (2)
- Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems (2023) (2)
- Multi-View Information Bottleneck Without Variational Approximation (2022) (2)
- Diffusion Adaptation Framework for Compressive Sensing Reconstruction (2017) (2)
- MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters (2020) (2)
- Multi-kernel correntropy based extended Kalman filtering for state-of-charge estimation. (2022) (2)
- Free Space Detection Using Stereo Confidence Metrics and Obstacle Position Probability Maps (2018) (2)
- Robust strong tracking unscented Kalman filter for non-linear systems with unknown inputs (2022) (2)
- Dual Extended Kalman Filter Under Minimum Error Entropy With Fiducial Points (2022) (2)
- An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder (2019) (2)
- Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search (2021) (2)
- Information Theoretical Approach to Identification of Hybrid Systems (2008) (2)
- Split-Stack 2D-CNN for Hand Gestures Recognition Based on Surface EMG Decoding (2020) (2)
- Dual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation (2019) (2)
- Sex Difference of Saccade Patterns in Emotional Facial Expression Recognition (2016) (2)
- Adaptive convex combination filter under minimum error entropy criterion (2016) (2)
- Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization (2018) (2)
- Exploiting the categorical reliability difference for binary classification (2017) (2)
- Robust diffusion maximum correntropy criterion algorithm for distributed network estimation (2015) (2)
- Hybrid affine projection algorithm (2014) (2)
- System Identification of UAV Based on EWC-LMS (2006) (2)
- A real-time permutation entropy computation for EEG signals (2015) (2)
- Joint UAVs’ Load Balancing and UEs’ Data Rate Fairness Optimization by Diffusion UAV Deployment Algorithm in Multi-UAV Networks (2021) (2)
- Information Theoretic Interpretation of Error Criteria: Information Theoretic Interpretation of Error Criteria (2009) (1)
- System Identification Under Minimum Error Entropy Criteria (2013) (1)
- Augmented Space Linear Model (2018) (1)
- Information Theoretic Parameter Estimation (2013) (1)
- An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion (2014) (1)
- Correntropy Based Divided Difference Filtering for the Positioning of Ships (2018) (1)
- Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction (2018) (1)
- Fairness constrained diffusion adaptive power control for dense small cell network (2018) (1)
- Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data (2016) (1)
- Augmented Space Linear Models (2020) (1)
- Comparison of cross-subject EEG emotion recognition algorithms in the BCI Controlled Robot Contest in World Robot Contest 2021 (2022) (1)
- Causality detection with matrix-based transfer entropy (2022) (1)
- Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory (2022) (1)
- Robust Motion Averaging under Maximum Correntropy Criterion (2020) (1)
- Maximum Correntropy Criterion–Based Kernel Adaptive Filters (2018) (1)
- Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation (2022) (1)
- CAUSALITY ANALYSIS BASED ON MATRIX TRANSFER ENTROPY (2018) (1)
- A dictionary updating scheme incorporating words elimination into Quantized Kernel Least-Mean-Squares for changing environments (2015) (1)
- A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference (2015) (1)
- Adaptive FIR Filtering under Minimum Error/Input Information Criterion (2008) (1)
- The Application of Minimum Entropy H Mixed Sensitivity to Flight Control (2006) (1)
- Adaptive filtering for desired error distribution under minimum information divergence criterion (2008) (1)
- Visualization and Characterization of the Flashing Spray of Cryogen R404a (2011) (1)
- Study of General Robust Subband Adaptive Filtering (2022) (1)
- A 128-way FPGA platform for the acceleration of KLMS algorithm (2015) (1)
- Maximum Correntropy Criterion (2015) (1)
- Empirical survival error potential weighted least squares for binary pattern classification (2014) (1)
- A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm (2015) (1)
- Adaptive Inverse Control under (h,ø)-Entropy Criterion (2006) (1)
- An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise (2018) (1)
- Constrained least mean p-power error algorithm (2016) (1)
- Augmented Nonlinear Least Squares Estimation With Applications to Localization (2022) (1)
- 2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery (2021) (1)
- Recursive minimum kernel risk sensitive loss algorithm with adaptive gain factor for robust power system s estimation (2022) (1)
- A parameter-free Cauchy-Schwartz information measure for independent component analysis (2016) (1)
- STOCHASTIC INFORMATION GRADIENT ALGORITHM BASED ON MAXIMUM ENTROPY DENSITY ESTIMATION (2010) (1)
- An Encoding Framework With Brain Inner State for Natural Image Identification (2019) (1)
- Vector quantization using survival Cauchy-Schwartz divergence (2014) (1)
- Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression (2021) (1)
- Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences (2016) (0)
- Lightweight Generative Adversarial Networks Based on Ghost Module (2022) (0)
- Combination of bias-compensated normalized LMS algorithm for system identification with noisy input (2017) (0)
- Trimmed diffusion least mean squares for distributed estimation (2015) (0)
- A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes (2015) (0)
- Error Loss Networks (2021) (0)
- Long-term scalp epileptic EEG quantification with GMA dynamics (2015) (0)
- Robust Sparse Recovery via Weakly Convex Regularization (2018) (0)
- On initial convergence behavior of the kernel least mean square algorithm (2015) (0)
- Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function (2023) (0)
- Building Correspondence Based on Matching Triangles for Partial Registration (2018) (0)
- Steady-state mean square performance of a sparsified kernel least mean square algorithm (2017) (0)
- Deep Intuition-Inspired Learning for Advancing Direct Training of Spiking Neural Network (2023) (0)
- MaximumCorrentropyKalmanFilter ? (2016) (0)
- RGB-D point cloud registration via infrared and color camera (2019) (0)
- Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments (2017) (0)
- Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty (2015) (0)
- Robust anchor-based multi-view clustering via spectral embedded concept factorization (2023) (0)
- Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems (2022) (0)
- A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm (2016) (0)
- General Robust Subband Adaptive Filtering for Echo Cancellation (2022) (0)
- SOC-based Droop Control and Coordination for Hybrid Energy Storage Systems (2022) (0)
- A Reconfigurable Parallel Accelerator for Permutation Entropy (2015) (0)
- Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering (2022) (0)
- Extended kernel Risk-Sensitive loss unscented Kalman filter based robust dynamic state estimation (2023) (0)
- TheApplication ofMinlimum Entropy H0CMixedSensitivity toFlight Control (2006) (0)
- Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding (2022) (0)
- Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise (2015) (0)
- Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss (2023) (0)
- Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation (2023) (0)
- An Information Bottleneck Approach for Multi-View Feature Selection (2023) (0)
- Efficient and robust deep learning with Correntropy-induced loss function (2015) (0)
- An Efficient Parameter Optimization of Maximum Correntropy Criterion (2023) (0)
- Redefining and subtyping of major depression based on brain functional connectivity signatures with high generalization: an ensemble hybrid framework (2022) (0)
- Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals (2021) (0)
- Mean-Square Performance Analysis of Noise-Robust Normalized Subband Adaptive Filter Algorithm (2017) (0)
- Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square (2014) (0)
- Adaptive sparseness for correntropy-based robust regression via automatic relevance determination (2023) (0)
- A Note on the W-S Lower Bound of the MEE Estimation (2014) (0)
- Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric (2017) (0)
- Fixed-Point Minimum Error Entropy With Sparsity Penalty Constraints (2021) (0)
- Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition (2018) (0)
- Fairness constrained diffusion adaptive power control for dense small cell network (2017) (0)
- An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion (2022) (0)
- Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network (2019) (0)
- Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments (2017) (0)
- Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning (2019) (0)
- A Normalized Mutual Information Estimator Compensating Variance Fluctuations for Motion Detection (2017) (0)
- Visual Working Memory Biases the Perception of Ambiguous SFM (Structure-From-Motion) by Affecting the Representation in MT+ Cortex Delay Period (2017) (0)
- Remaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States (2018) (0)
- Robust Pose Estimation Based on Maximum Correntropy Criterion (2021) (0)
- Composite Learning Based Fuzzy Control for Nonlinear Systems with Unknown Dead Zone (2016) (0)
- Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering (2022) (0)
- 2 – Information Measures (2013) (0)
- Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer (2023) (0)
- Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation (2015) (0)
- 3D-MBNet: Intention Based Multimodal Vehicle Trajectory Prediction with 3D Social Convolution (2022) (0)
- Sparsity-Aware Recursive Maximum Correntropy Criteria Adaptive Filtering Algorithm (2015) (0)
- Visual working memory affects the perception of ambiguous SFM (structure-from-motion) by enhance internally directed attention (2017) (0)
- Towards a More Stable and General Subgraph Information Bottleneck (2023) (0)
- Robust one-class classification with support vector data description and mixed exponential loss function (2023) (0)
- Active noise control techniques for nonlinear systems (2021) (0)
- Time series prediction using kernel adaptive filter with least mean absolute third loss function (2017) (0)
- Efficient Nonlinear Adaptive Filters (2023) (0)
- EEG channel selection based on sequential backward floating search for motor imagery classification (2022) (0)
- Measuring observability by generalized information theoretic quantities (2008) (0)
- Microwell array chip-based single-cell analysis. (2023) (0)
- Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification (2017) (0)
- Multiview Clustering via Hypergraph Induced Semi-supervised Symmetric Nonnegative Matrix Factorization (2023) (0)
- fMRI Visual Image Reconstruction Using Sparse Logistic Regression with a Tunable Regularization Parameter (2015) (0)
- Anchor-Graph Regularized Orthogonal Concept Factorization for Document Clustering (2023) (0)
- Prognostics Estimations with Dynamic States (2018) (0)
- Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network (2015) (0)
- Measuring the Couplings of MIMO Dynamic Systems: An Information-Theoretic Approach (2006) (0)
- Exponential C-Loss for data fitting (2015) (0)
- Set-membership versions of improved normalized subband adaptive filter algorithm for highly noisy system (2015) (0)
- Finite-Horizon URTSS-Based Position Estimation for Urban Vehicle Localization (2023) (0)
- Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering. (2022) (0)
- Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm (2021) (0)
- Sequential Invariant Information Bottleneck (2023) (0)
- Kernel adaptive filtering subject to equality function constraints (2016) (0)
- Mixture correntropy based robust multi-view K-means clustering (2022) (0)
- Deep Weighted Extreme Learning Machine (2018) (0)
- ADMM for maximum correntropy criterion (2016) (0)
- Robust kernel adaptive filtering for nonlinear time series prediction (2023) (0)
- Robust Fisher Linear Discriminant Analysis with Generalized Correntropic Loss Function (2020) (0)
- Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces (2022) (0)
- CANet: Contextual Information and Spatial Attention Based Network for Detecting Small Defects in Manufacturing Industry (2023) (0)
- Decoding Multi-Class EEG Signals of Hand Movement Using Multivariate Empirical Mode Decomposition and Convolutional Neural Network (2022) (0)
- A dictionary based survival error compensation for robust adaptive filtering (2016) (0)
- Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. (2023) (0)
- Maximum Correntropy Kalman Filter (cid:63) (2016) (0)
- Orthogonal Maximum Correntropy Learning (2022) (0)
- Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms (2022) (0)
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What Schools Are Affiliated With Badong Chen?
Badong Chen is affiliated with the following schools: