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Correntropy based filtering for supernova detection
2016 International Joint Conference on Neural Networks (IJCNN), 2016The recent surge of huge astronomical telescopes opens new possibilities for astrophysical studies, with corresponding challenges regarding massive data analysis. Taking advantage of these new technologies, the High Cadence Transient Survey (HiTS) has developed a pipeline to detect transient astronomical phenomena, such as supernovae, by analyzing ...
Pablo Huentelemu +2 more
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Mixture Complex Correntropy for Adaptive Filter
IEEE Transactions on Circuits and Systems II: Express Briefs, 2019With the development of adaptive filtering theory and its application, the research on complex domain has attracted more attention. As a measure of local similarity, complex correntropy has been applied to adaptive filtering in the complex domain. The choice of kernel function plays a very important role in the performance of corresponding algorithms ...
Guobing Qian, Xiaohan Ning, Shiyuan Wang
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Correntropy based self-organizing map
2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2016Self-organizing map (SOM) is regarded as a type of feedfoward neural network. It has been successfully used for unsupervised learning. However, the objective function of the traditional SOM relies on the mean squared error (MSE) criterion, which makes the performance of SOM become poor in the presence of noise.
Qing-Zhen Shang, Hong-Jie Xing
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Maximum Correntropy Quaternion Kalman Filter
IEEE Transactions on Signal Processing, 2023Dongyuan Lin +3 more
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Cauchy kernel-based maximum correntropy Kalman filter
International Journal of Systems Science, 2020Zhangming He, Jiongqi Wang, Dayi Wang
exaly
Maximum Correntropy Two-Filter Smoothing
2023 26th International Conference on Information Fusion (FUSION), 2023Yanbo Yang 0001 +4 more
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Complex correntropy function: Properties, and application to a channel equalization problem
Expert Systems With Applications, 2018Aluisio Fontes +2 more
exaly
Correntropy as a novel measure for nonlinearity tests
Signal Processing, 2009Aysegul Gunduz, JOSÉ Principe
exaly
Robust rigid registration algorithm based on pointwise correspondence and correntropy
Pattern Recognition Letters, 2020Xuetao Zhang, Yue Gao, Shaoyi Du
exaly

