New Insights Into Learning With Correntropy-Based Regression [PDF]
Neural Computation, 2021 Stemming from information-theoretic learning, the correntropy criterion and its applications to machine learning tasks have been extensively studied and explored. Its application to regression problems leads to the robustness-enhanced regression paradigm: correntropy-based regression. Having drawn a great variety of successful real-world applications,
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Circular Correntropy: Definition and Application in Impulsive Noise Environments
IEEE Access, 2022 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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Correntropy based Robust Decomposition of Neuromodulations [PDF]
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 Neuromodulations as observed in the extracellular electrical potential recordings obtained from Electroencephalograms (EEG) manifest as organized, transient patterns that differ statistically from their featureless noisy background. Leveraging on this statistical dissimilarity, we propose a noniterative robust classification algorithm to isolate, in ...
Shailaja Akella, José C. Príncipe
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Occluded Face Recognition Using Correntropy-based Nonnegative Matrix Factorization
, 2021 Occluded face recognition is one the most interesting problems of applied computer vision. Among many face recognition approaches, the Nonnegative Matrix Factorization (NMF) turns out to be one of the popular techniques especially for part-based learning.
Ensari, Tolga +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
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Period Estimation in Astronomical Time Series Using Slotted Correntropy [PDF]
, 2011 Artículos de publicación ISIIn this letter, we propose a method for period estimation in light curves from periodic variable stars using correntropy.
Zegers, Pablo +10 more
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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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Correntropy–based density–preserving data sampling as an alternative to standard cross–validation
, 2010 Estimation of the generalization ability of a predictive model is an important issue, as it indicates expected performance on previously unseen data and is also used for model selection.
Gabrys, Bogdan +3 more
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Correntropy based nonnegative matrix factorization : algorithms and clustering applications
, 2020 In this thesis, to improve existing correntropy based nonnegative matrix factorization (NMF) algorithms and develop new methods for enlarging the range and enhancing the performance in clustering tasks, three novel correntropy based NMF algorithms are ...
Peng, Siyuan
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