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Analysing curves using kernel estimators
Pediatric Nephrology, 1991In this paper a novel statistical method for curve fitting is described and applied to growth data for illustration. This technique, called kernel estimation, is non-parametric and belongs to the class of smoothing methods. Therefore, it does not need an a priori functional model where individual parameters are determined from the data.
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Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering
IEEE Transactions on Neural Networks and Learning Systems, 2021Zhenwen Ren, Quansen Sun
exaly
Blur kernel estimation via salient edges and low rank prior for blind image deblurring
Signal processing. Image communication, 2017Jiangxin Dong, Jin-shan Pan, Zhixun Su
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Information measures of kernel estimation
, 2019Neshat Beheshti, J. Racine, E. Soofi
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Semisupervised Incremental Support Vector Machine Learning Based on Neighborhood Kernel Estimation
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017Jing Wang +3 more
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