The following pages link to Maximum correntropy Kalman filter (Q503143):
Displaying 50 items.
- Maximum correntropy unscented Kalman and information filters for non-Gaussian measurement noise (Q682740) (← links)
- The correntropy MACE filter (Q1010098) (← links)
- Chaotic synchronization based on neural filter (Q1661438) (← links)
- Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy (Q1661472) (← links)
- Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise (Q1678568) (← links)
- Mixed-degree spherical simplex-radial cubature Kalman filter (Q1993058) (← links)
- Maximum correntropy adaptation approach for robust compressive sensing reconstruction (Q2004743) (← links)
- Variational Bayesian adaptation of process noise covariance matrix in Kalman filtering (Q2027441) (← links)
- Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems (Q2054049) (← links)
- Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks (Q2059390) (← links)
- Switching Gaussian-heavy-tailed distribution based robust Gaussian approximate filter for INS/GNSS integration (Q2095009) (← links)
- Robust stable iterated unscented Kalman filter based on maximum correntropy criterion (Q2151938) (← links)
- A noise-immune Kalman filter for short-term traffic flow forecasting (Q2164306) (← links)
- Fast rates of minimum error entropy with heavy-tailed noise (Q2168008) (← links)
- Recursive least mean \(p\)-power extreme learning machine (Q2181057) (← links)
- Outlier-robust Kalman filters with mixture correntropy (Q2181396) (← links)
- Regularized correntropy criterion based semi-supervised ELM (Q2185683) (← links)
- Novel interacting multiple model filter for uncertain target tracking systems based on weighted Kullback-Leibler divergence (Q2217620) (← links)
- Learning with correntropy-induced losses for regression with mixture of symmetric stable noise (Q2300760) (← links)
- Steady-state tracking analysis of adaptive filter with maximum correntropy criterion (Q2400927) (← links)
- Robust adaptive Volterra filter under maximum correntropy criteria in impulsive environments (Q2405995) (← links)
- Robust particle filtering with enhanced outlier resilience and real-time disturbance compensation (Q2656882) (← links)
- A novel robust Kalman filter with unknown non-stationary heavy-tailed noise (Q2664242) (← links)
- Upper bounds for Rao distance on the manifold of multivariate elliptical distributions (Q2665102) (← links)
- Mixture quantized error entropy for recursive least squares adaptive filtering (Q2667442) (← links)
- New Insights Into Learning With Correntropy-Based Regression (Q5004288) (← links)
- Hierarchical Dynamical Model for Multiple Cortical Neural Decoding (Q5004357) (← links)
- Cauchy kernel-based maximum correntropy Kalman filter (Q5026640) (← links)
- Maximum correntropy unscented filter (Q5347378) (← links)
- A new heavy-tailed robust Kalman filter with time-varying process bias (Q6046518) (← links)
- Laplace \(\ell_1\) square-root cubature Kalman filter for non-Gaussian measurement noises (Q6046620) (← links)
- Maximum‐correntropy‐based Kalman filtering for time‐varying systems with randomly occurring uncertainties: An event‐triggered approach (Q6068513) (← links)
- Quadratic covariance‐constrained filtering for linear and non‐linear systems with non‐Gaussian noises (Q6081056) (← links)
- A type-3 logic fuzzy system: optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size (Q6092098) (← links)
- Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises (Q6122195) (← links)
- Non-iterative Cauchy kernel-based maximum correntropy cubature Kalman filter for non-Gaussian systems (Q6158946) (← links)
- Two efficient Kalman filter algorithms for measurement packet dropping systems under maximum correntropy criterion (Q6161378) (← links)
- Robust adaptive filtering based on M-estimation-based minimum error entropy criterion (Q6193460) (← links)
- Quadratic filtering for non-Gaussian stochastic parameter systems with buffer-aided strategy (Q6492075) (← links)
- Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization (Q6496114) (← links)
- Adaptive fractional-order unscented Kalman filter with unknown noise statistics (Q6496699) (← links)
- Sequential maximum correntropy Kalman filtering (Q6563304) (← links)
- Distributed robust regression with correntropy losses and regularization kernel networks (Q6564882) (← links)
- Variational robust filter for a class of stochastic systems with false and missing measurements (Q6577408) (← links)
- Q-learning for noise covariance adaptation in extended Kalman filter (Q6578455) (← links)
- Improved maximum correntropy cubature Kalman and information filters with application to target tracking under non-Gaussian noise (Q6585570) (← links)
- Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements (Q6604183) (← links)
- Maximum correntropy-based pseudolinear Kalman filter for passive bearings-only target tracking (Q6631027) (← links)
- Maximum correntropy square root Gauss-Hermite quadrature information filter for multiple sensor estimation (Q6652357) (← links)
- Novel iterative cubature Kalman filters under maximum correntropy criterion for the robust state estimation (Q6660430) (← links)
