We state a combinatorial optimization problem whose feasible solutions define both a
decomposition and a node labeling of a given graph. This problem offers a common …

Proximal splitting algorithms for convex optimization are largely used in signal and image
processing. They make possible to call the individual proximity operators of an arbitrary …

The identification of cigarette laser codes is important in distinguishing the authenticity of
tobacco. However, the existing character recognition methods have limited use in the …

We state a combinatorial optimization problem whose feasible solutions define both a
decomposition and a node labeling of a given graph. This problem offers a common …

This paper presents a novel substrate coupling simulation tool that is well suited to
floorplanning of large mixed-signal IC designs. The IC layout may consist of several …

This work addresses the challenging problem of accurate vessel structure analysis in high
resolution 3D biomedical images. Typical segmentation methods fail on recent micro-CT …

This research dealt with the problem of neuronal membrane detection, in which the core
challenge is distinguishing membranes from organelles. A simple and efficient optimisation …

Mes remerciements s' adressent tout d'abord à ma rapportrice Laure Blanc Féraud et mes
rapporteurs Gabriel Peyré et Bruno Torresani. Je les remercie pour leur lecture attentive et …

Graph decomposition has always been a very important concept in machine learning and
computer vision. Many tasks like image and mesh segmentation, community detection in …

With the progress of biomedical imaging techniques and an emerging demand for
quantitative methods, computer-aided analysis of biomedical image data has gained …