3 papers
stat.ML2024
From explained variance of correlated components to PCA without orthogonality constraints
Marie Chavent, Guy Chavent
Block Principal Component Analysis (Block PCA) of a data matrix A, where loadings Z are determined by maximization of AZ 2 over unit norm orthogonal loadings, is difficult to use f…
math.NA2010
Image Segmentation with Multidimensional Refinement Indicators
Hend Ben Ameur, Guy Chavent, Francois Clément +1
We transpose an optimal control technique to the image segmentation problem. The idea is to consider image segmentation as a parameter estimation problem. The parameter to estimate…
math.NA2006
The Multi-Dimensional Refinement Indicators Algorithm for Optimal Parameterization
Hend Ben Ameur, François Clément, Pierre Weis +1
The estimation of distributed parameters in partial differential equations (PDE) from measures of the solution of the PDE may lead to under-determination problems. The choice of a…