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Choice of Smoothing Parameters for Direct Kernels in Discrimination
Biometrical Journal, 1991AbstractDirect kernels, due to LAUDER (1983), as an alternative to the indirect kernel method in discriminant analysis are considered. It is shown that direct kernels may be based on any kernel function known in discrete density estimation. The choice of smoothing parameters is based on general loss functions and a family of loss functions which are ...
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A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Wei Liu, Michael Ng, Yinjie Lei
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On Gaussian Sampling, Smoothing Parameter and Application to Signatures
2023Thomas Espitau +2 more
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Kalman smoothing with persistent nuisance parameters
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014A. Aravkin +2 more
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Robust Locally Weighted Regression and Smoothing Scatterplots
Journal of the American Statistical Association, 1979William S. Cleveland
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Real-time local smoothing for five-axis linear toolpath considering smoothing error constraints
International Journal of Machine Tools and Manufacture, 2018Limin Zhu, Xu Du
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Real-time Image Smoothing via Iterative Least Squares
ACM Transactions on Graphics, 2020Wei Liu, Ian Reid, Chunhua Shen
exaly

