A fast regularization parameter selection for regularly sampled 2D inputs

DOI10.1080/00207720410001699200zbMath1064.94507OpenAlexW1997124102MaRDI QIDQ4652158

Youji Iiguni, Kaoru Inoue

Publication date: 24 February 2005

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720410001699200

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Asymptotic optimality of generalized cross-validation for choosing the regularization parameter
• Radial basis function and related models: An overview
• Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method

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