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Choice of Smoothing Parameters for Direct Kernels in Discrimination

Biometrical Journal, 1991
AbstractDirect 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 ...
openaire   +2 more sources

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Wei Liu, Michael Ng, Yinjie Lei
exaly  

Kalman smoothing with persistent nuisance parameters

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014
A. Aravkin   +2 more
openaire   +1 more source

Robust Locally Weighted Regression and Smoothing Scatterplots

Journal of the American Statistical Association, 1979
William S. Cleveland
exaly   +2 more sources

Smoothing Parameter Selection

2009
Paul P. B. Eggermont   +1 more
openaire   +1 more source

Exponential smoothing: The state of the art

Journal of Forecasting, 1985
Everette S Gardner
exaly  

Real-time local smoothing for five-axis linear toolpath considering smoothing error constraints

International Journal of Machine Tools and Manufacture, 2018
Limin Zhu, Xu Du
exaly  

Real-time Image Smoothing via Iterative Least Squares

ACM Transactions on Graphics, 2020
Wei Liu, Ian Reid, Chunhua Shen
exaly  

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