Results 11 to 20 of about 708 (167)
Cyclic Correntropy: Foundations and Theories
IEEE Access, 2018 Over the past several decades, cyclostationarity has been regarded as one of the most significant theories in the research of non-stationary signal processing; therefore, it has been widely used to solve a large variety of scientific problems, such as ...
Tao Liu, Tianshuang Qiu, Shengyang Luan
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Evidence of Physiological Comodulation During Human-Animal Interaction: A Systematic Review. [PDF]
Ann N Y Acad SciFrom thirty‐seven studies on physiological comodulation in human–animal interaction, dogs and horses emerged as the most studied species, primarily in therapeutic and companionship settings. Cardiac and hormonal signals dominated the analyses, with correlation methods prevailing.
Bargigli G +5 more
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ADMM for maximum correntropy criterion [PDF]
2016 International Joint Conference on Neural Networks (IJCNN), 2016 The correntropy provides a robust criterion for outlier-insensitive machine learning, and its maximisation has been increasingly investigated in signal and image processing. In this paper, we investigate the problem of unmixing hyperspectral images, namely decomposing each pixel/spectrum of a given image as a linear combination of other pixels/spectra ...
Zhu, Fei +4 more
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Overexpression of miR-516a-5p Promotes Erosive Oral Lichen Planus: In Vitro Study Based on Bioinformatics Analyses. [PDF]
Clin Exp Dent ResABSTRACT Objectives This study aimed to investigate the differentially expressed microRNAs in erosive oral lichen planus, followed by analyzing how the overexpression of identified miR‐516a‐5p influences human oral mucosal fibroblasts. Material and Methods High‐throughput sequencing using tissues from patients and healthy individuals identified varying
Chen Y +5 more
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Frontiers in Energy Research, 2022 The classical Kalman filter is a very important state estimation approach, which has been widely used in many engineering applications. The Kalman filter is optimal for linear dynamic systems with independent Gaussian noises.
Guanghua Zhang +5 more
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Entropy, 2020 The complex correntropy has been successfully applied to complex domain adaptive filtering, and the corresponding maximum complex correntropy criterion (MCCC) algorithm has been proved to be robust to non-Gaussian noises.
Fei Dong, Guobing Qian, Shiyuan Wang
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Local Matrix Feature-Based Kernel Joint Sparse Representation for Hyperspectral Image Classification
Remote Sensing, 2022 Hyperspectral image (HSI) classification is one of the hot research topics in the field of remote sensing. The performance of HSI classification greatly depends on the effectiveness of feature learning or feature design. Traditional vector-based spectral–
Xiang Chen +3 more
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Asymmetric Correntropy for Robust Adaptive Filtering [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2022 In recent years, correntropy has been seccessfully applied to robust adaptive filtering to eliminate adverse effects of impulsive noises or outliers. Correntropy is generally defined as the expectation of a Gaussian kernel between two random variables.
Badong Chen +4 more
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Underwater Vehicle Positioning by Correntropy-Based Fuzzy Multi-Sensor Fusion
Sensors, 2021 The ability of the underwater vehicle to determine its precise position is vital to completing a mission successfully. Multi-sensor fusion methods for underwater vehicle positioning are commonly based on Kalman filtering, which requires the knowledge of ...
Nabil Shaukat +2 more
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A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding
Entropy, 2021 Neural signal decoding is a critical technology in brain machine interface (BMI) to interpret movement intention from multi-neural activity collected from paralyzed patients.
Xi Liu +4 more
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