Adaptive identification under the maximum correntropy criterion with variable center
The problem of identifying the parameters of a linear object in the presence of non-Gaussian noise is considered. The identification algorithm is a gradient procedure for maximizing the functional, which is a correntropy. This functionality allows you to
Oleg Rudenko, Oleksandr Bezsonov
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Performance Assessment of Non-Gaussian Control Systems Based on Mixture Correntropy
The performance assessment of any control system plays a key role in industrial control systems. To meet the real-time requirements of modern control systems, a quick and accurate evaluation of the performance of a system is necessary.
Jinfang Zhang, Di Wu
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A Maximum Correntropy Divided Difference Filter for Cooperative Localization
This paper derives a new maximum correntropy divided difference filter (DDF) to address the heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative localization of autonomous underwater vehicles.
Chengjiao Sun +3 more
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Assessment of respiratory flow cycle morphology in patients with chronic heart failure [PDF]
Breathing pattern as periodic breathing (PB) in chronic heart failure (CHF) is associated with poor prognosis and high mortality risk. This work investigates the significance of a number of time domain parameters for characterizing respiratory flow cycle
Bayés-Genís, Antoni, +7 more
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Regularized maximum correntropy machine [PDF]
In this paper we investigate the usage of regularized correntropy framework for learning of classifiers from noisy labels. The class label predictors learned by minimizing transitional loss functions are sensitive to the noisy and outlying labels of training samples, because the transitional loss functions are equally applied to all the samples.
Wang, Jim Jing-Yan +3 more
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Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition [PDF]
In this work, we propose a workflow for face recognition under occlusion using the entropy projection from the curved Gabor filter, and create a representative and compact features vector that describes a face.
AS Georghiades +20 more
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Maximum Correntropy Criterion With Variable Center [PDF]
5 pages, 1 ...
Badong Chen +3 more
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Circular Correntropy: Definition and Application in Impulsive Noise Environments
Circular statistics has been applied to several areas of knowledge in which the input data is circular or directional. Noisy measurements are still a problem in circular data applications and, like non-circular data, second-order statistics have some ...
Manoel B. L. Aquino +5 more
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Density Preserving Sampling: Robust and Efficient Alternative to Cross-validation for Error Estimation [PDF]
Estimation of the generalization ability of a classi- fication or regression model is an important issue, as it indicates the expected performance on previously unseen data and is also used for model selection.
Budka, Marcin, Gabrys, Bogdan
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Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation [PDF]
A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates get worse if systematic measurement errors that persist in time (e.g., biases and drifts) are ...
Llanos, Claudia Elizabeth +2 more
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