The use of the L-curve in the regularization of discrete ill-posed problems
SIAM Journal on Scientific Computing
A Regularization Parameter in Discrete Ill-Posed Problems
SIAM Journal on Scientific Computing
A general heuristic for choosing the regularization parameter in ill-posed problems
SIAM Journal on Scientific Computing
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
SIAM Journal on Matrix Analysis and Applications
The triangle method for finding the corner of the L-curve
Applied Numerical Mathematics
A generalized Gaussian image model for edge-preserving MAP estimation
IEEE Transactions on Image Processing
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In this study, seven classifiers based on four different approaches were tested in a rock facies classification problem: classical parametric methods using Bayes' rule, and non-parametric methods using fuzzy logic, k-nearest neighbor, and feed forward-back ...