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Handling missing values in exploratory multivariate data analysis methods
International audience -
Gaussian Regularized Sliced Inverse Regression
International audience -
A Note on Sliced Inverse Regression with Regularizations
International audience -
Cox process functional learning
International audience -
Regularization of the noisy Cauchy problem solution approximated by an energy...
International audience -
Energy minimization methods
Energy minimization methods are a very popular tool in image and signal processing. This chapter deals with images defined on a discrete finite set. Energy... -
Method for performing parallel magnetic resonance imaging
A method of parallel magnetic resonance imaging of a body, comprising: - acquiring a set of elementary magnetic resonance images of said body from respective receiving... -
Restoration of 3D fluorescence microscopy images under the presence of optica...
In this thesis, we focus on the restoration of three-dimensional image of fluorescence microscopy. Two major difficulties in this imaging system are considered. The... -
Digital volume correlation: what are the limits to the spatial resolution?
International audience -
Estimating the Division Rate of the Self-Similar Growth-Fragmentation Equation
International audience -
Regularized parameter estimation through iterative rescaling (PETIR): an alte...
28 pages, 13 figures, 2 test cases -
Learning algorithms for sparse classification
This thesis deals with the development of estimation algorithms with embedded feature selection the context of high dimensional data, in the supervised and... -
On the amount of regularization for super-resolution reconstruction
Modern digital cameras are quickly reaching the fundamental physical limit of their native resolution. Super-resolution (SR) aims at overcoming this limit. SR combines... -
Active contours models for image and video segmentation
Image segmentation is the partitioning of an image into regions of interest and a background. Image segmentation can be performed using an active contour algorithm in... -
Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Di...
International audience -
Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Di...
International audience -
Beyond-mean-field corrections and effective interactions in the nuclear many-...
Mean-field approaches successfully reproduce nuclear bulk properties like masses and radii within the Energy Density Functional (EDF) framework. However, complex... -
The three- and the N-body problem
We introduce the $N$-body problem of mathematical celestial mechanics, and discuss its astronomical relevance, its simplest solutions inherited from the two-body...
