National audienceThe question of tractable classes of constraint satisfaction problems (CSPs) has been studied for a long time, and is now a very active research domain. However, studies of tractable classes are typically very theoretical. They usually introduce classes of instances together with polynomial time algorithms for recognizing and solving them, and the algorithms can be used only for the new class. In this paper, we address the issue of tractable classes of CSPs from a di erent perspective. We investigate the complexity of classical, generic algorithms for solving CSPs (such as Forward Checking). We introduce a new parameter for measuring their complexity and derive new complexity bounds. By relating the com- plexity of CSP algo...
On many problems, it is hard to find an algorithm that solves all its instances with the shortest ex...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
Ce mémoire porte sur le problème de décision CSP (de l'anglais Constraint Satisfaction Problem, c'es...
National audienceThe question of tractable classes of constraint satisfaction problems (CSPs) has be...
Computational complexity is the study of the resources — time, memory, …— needed to algorithmically ...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
Data and function approximation is fundamental in application domains like path planning or signal p...
National audienceLes problèmes de satisfaction de contraintes (CSP) constituent une puissante manièr...
This manuscript of Habilitation à Diriger des Recherches enlights some results obtained since my Ph...
Various classical problems in computer science can be formulated as ConstraintSolving Problems (CSP)...
Many problems in machine learning pertain to tackling the minimization of a possibly non-convex and ...
In this thesis, we describe and analyze a fully distributed approach for parallel Branch-and-Bound. ...
We aim to develop a finite volume method which applies to a greater class of meshes than other finit...
On many problems, it is hard to find an algorithm that solves all its instances with the shortest ex...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
Ce mémoire porte sur le problème de décision CSP (de l'anglais Constraint Satisfaction Problem, c'es...
National audienceThe question of tractable classes of constraint satisfaction problems (CSPs) has be...
Computational complexity is the study of the resources — time, memory, …— needed to algorithmically ...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
The last couple of decades have seen a surge of interest and sophistication in using heuristics to s...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
Data and function approximation is fundamental in application domains like path planning or signal p...
National audienceLes problèmes de satisfaction de contraintes (CSP) constituent une puissante manièr...
This manuscript of Habilitation à Diriger des Recherches enlights some results obtained since my Ph...
Various classical problems in computer science can be formulated as ConstraintSolving Problems (CSP)...
Many problems in machine learning pertain to tackling the minimization of a possibly non-convex and ...
In this thesis, we describe and analyze a fully distributed approach for parallel Branch-and-Bound. ...
We aim to develop a finite volume method which applies to a greater class of meshes than other finit...
On many problems, it is hard to find an algorithm that solves all its instances with the shortest ex...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
Ce mémoire porte sur le problème de décision CSP (de l'anglais Constraint Satisfaction Problem, c'es...