Results 41 to 50 of about 3,111 (174)
Adaptive Pressure Control System Based on the Maximum Correntropy Criterion
Sensors, 2021 Water supply systems are constantly improving their operation through energy efficiency actions that involve the use of advanced measurement, control, and automation techniques. The maintenance and reliability of water distribution is directly associated
Thommas Kevin Sales Flores +3 more
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Structure Preserving Large Imagery Reconstruction [PDF]
, 2014 With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for various goals, such as image clustering, 3D scene reconstruction, and ...
Hitz, Markus +4 more
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Maximum Correntropy Ensemble Kalman Filter
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 Accepted by 62nd IEEE Conference on Decision and Control (CDC 2023)
Tao, Yangtianze +2 more
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IEEE Access, 2019 Cyclostationary analysis has several applications in communications, e.g., spectral sensing, signal parameter estimation, and modulation classification.
Tales V. R. O. Camara +5 more
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A Novel Method for Automated Estimation of Effective Parameters of Complex Auditory Brainstem Response: Adaptive Processing Based on the Correntropy Concept [PDF]
Iranian Rehabilitation Journal, 2022 Objectives: Automated Auditory Brainstem Responses (ABR) peak detection is a novel technique to facilitate the measurement of neural synchrony along the auditory pathway through the brainstem.
Seyed Vahab Shojaedini +4 more
doaj
Maximum Correntropy Criterion with Distributed Method
Mathematics, 2022 The Maximum Correntropy Criterion (MCC) has recently triggered enormous research activities in engineering and machine learning communities since it is robust when faced with heavy-tailed noise or outliers in practice.
Fan Xie +3 more
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Tracking analysis of minimum kernel risk-sensitive loss algorithm under general non-Gaussian noise [PDF]
, 2018 In this paper the steady-state tracking performance of minimum kernel risk-sensitive loss (MKRSL) in a non-stationary environment is analyzed. In order to model a non-stationary environment, a first-order random-walk model is used to describe the ...
Bazzi, WM +4 more
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Kernel classifier with Correntropy loss [PDF]
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 Classification can be seen as a mapping problem where some function of x n predicts the expectation of a class variable y n . This paper uses kernel methods for the prediction of class variable, together with a recently proposed cost function for classification, called Correntropy-loss (C-loss) function. C-Loss is a non-convex loss function based on a
Rosha Pokharel, Jose C. Principe
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Consformer: Consciousness Detection Using Transformer Networks With Correntropy-Based Measures
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Consciousness detection is important in diagnosis and treatment of disorders of consciousness (DOC). Recent studies have demonstrated that electroencephalography (EEG) signals contain effective information for consciousness state evaluation.
Xuyun Sun +5 more
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A Feature-Cascaded Correntropy LSTM for Tourists Prediction
IEEE Access, 2021 Forecasting the number of tourists is significant to public safety, which can enable the government to control the sudden influx of tourists timely. The temporal dependence (closeness and period), external factors such as holidays, government policy, as ...
Yuehai Chen +4 more
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