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Extended Kalman filter using a kernel recursive least squares observer.

, , and . IJCNN, page 1402-1408. IEEE, (2011)

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Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot., , , and . IJCNN, page 1968-1976. IEEE, (2016)Trimmed affine projection algorithms., , , , , and . IJCNN, page 1923-1928. IEEE, (2014)Extended Kalman filter using a kernel recursive least squares observer., , and . IJCNN, page 1402-1408. IEEE, (2011)Some Further Results on the Minimum Error Entropy Estimation., and . Entropy, 14 (5): 966-977 (2012)Robust 2D point set matching with Kernel mean P-power error loss., , , , and . SMC, page 1898-1902. IEEE, (2017)Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization., , , , , , , and . Intelligent Vehicles Symposium, page 734-739. IEEE, (2018)Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty., , , , and . DSP, page 638-642. IEEE, (2015)Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification., , , and . IJCNN, page 1-6. IEEE, (2018)Recursive least mean p-power Extreme Learning Machine., , , and . Neural Networks, (2017)Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (9): 4361-4372 (2022)