Results 1 to 10 of about 16,552 (238)
An adaptive kernel width convex combination method for maximum correntropy criterion [PDF]
Journal of the Brazilian Computer Society, 2021 Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a free parameter called kernel width, which affects the convergence rate, robustness, and steady ...
Aluisio I. R. Fontes +4 more
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A Kernel-Width Adaption Diffusion Maximum Correntropy Algorithm [PDF]
IEEE Access, 2020 Impulsive noises are widely existing in various systems like noise cancellation system and wireless communication systems, where adaptive filtering (AF) is always employed to identify specific systems.
Ying Guo, Bing Ma, Yingsong Li
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Performance evaluation of the maximum complex correntropy criterion with adaptive kernel width update [PDF]
EURASIP Journal on Advances in Signal Processing, 2019 The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino +4 more
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Multivariate analysis of wild Prunus × keredjensis (Browicz) A.E.Murray based on morphological and pomological characterizations [PDF]
Scientific ReportsPrunus × keredjensis (Browicz) A.E. Murray is a rare natural hybrid between P. scoparia and P. lycioides. Despite its potential importance for almond breeding and genetic resource conservation, it has never been systematically characterized ...
Ali Khadivi +2 more
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Robust adaptive filtering with variable risk‐sensitive parameter and kernel width [PDF]
Electronics Letters, 2020 Similarity measures play a significant role in adaptive filtering. Previous work such as correntropy and kernel risk‐sensitive loss (KRSL), has successfully improved the technology of adaptive filtering in terms of robustness against outliers, fast convergence speed and high filtering accuracy.
Shiyuan Wang, Guobing Qian
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Simple estimate of the width in Gaussian kernel with adaptive scaling technique
Applied Soft Computing Journal, 2011 This paper presents a simple method to estimate the width of Gaussian kernel based on an adaptive scaling technique. The Gaussian kernel is widely employed in radial basis function (RBF) network, support vector machine (SVM), least squares support vector machine (LS-SVM), Kriging models, and so on.
Koetsu Yamazaki, Satoshi Kitayama
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Generalized M-Estimation-Based Framework for Robust Guidance Information Extraction [PDF]
EntropyThis study tackles state estimation challenges in guidance information extraction. These challenges arise from non-Gaussian noise. We propose a robust framework to address them.
Jiawei Ren +3 more
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Convergence performance analysis of an adaptive kernel width MCC algorithm
AEU - International Journal of Electronics and Communications, 2017 Abstract A fixed kernel width in MCC algorithm imposes a trade-off among robustness, convergence rate and steady-state accuracy. With a variable kernel width, the adaptive kernel width MCC (AMCC) algorithm can improve the learning speed of the MCC algorithm especially when the initial weight vector is far away from the optimal weight vector.
JOSÉ Principe, Badong Chen
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Signal, Image and Video ProcessingAbstract This paper proposes a robust adaptive algorithm for smooth graph signal recovery which is based on generalized correntropy. A proper cost function is defined, which takes the smoothness and generalized correntropy into account. The generalized correntropy used in this paper employs the generalized Gaussian density (GGD) function as the
Farokh Marvasti +2 more
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A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth
Sensors, 2023 Multiple forms of interference and noise that impact the receiver’s capacity to receive and interpret satellite signals, and consequently the preciseness of positioning and navigation, may be present during the processing of Global Positioning System ...
Dah-Jing Jwo +3 more
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