This document from the fmr group introduces four types of methods for simplifying and/or partitioning graphs. Two methods produce tree-like structures that are easy to visualize: the minimum spanning tree (introduced among other classic methods of path detection), and the nodal regions algorithm (i.e. single or multiple linkage analysis). Two other methods provide groups of nodes characterized by a variety of structures: the filtering of links through a cohesion level based on the proportion of common neighbours of nodes, and the topological decomposition (i.e. looking at links among nodes having similar degree centrality). The application of the two latter methods in geography remains rather limited.Ce document du groupe fmr (flux, matrice...
This paper from the group fmr (flux, matrices, networks) focuses on the graphical representation of ...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
International audienceMany graph pattern mining algorithms have been designed to identify recurring ...
This document from the fmr group introduces four types of methods for simplifying and/or partitionin...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
This paper from the fmr group (flux, matrices, réseaux) reminds elementary rules regarding matrix al...
Most analyses of networks focus on simple graphs. Multigraphs are graphs including several links bet...
National audienceNeighborhood graphs know increasing use in many fields as in Data Science, or Multi...
Our research are about graph coloring with distance constraints (packing coloring) or neighborhood c...
International audienceThis paper introduces a clustering algorithm that is able to partition objects...
The goal of this these is to use graph's decompositions to solve algorithmic problems on graphs. We ...
Mathematical morphology is one of the most powerful frameworks which provides a set of filtering and...
This thesis describes algorithms on planar maps (graphs embedded in the plane without edge-crossings...
This PhD focuses on algorithms in the field of Mathematical Morphology and Image Processing, from th...
International audienceAbstract. — In recent years, many random graph models have been proposed to ex...
This paper from the group fmr (flux, matrices, networks) focuses on the graphical representation of ...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
International audienceMany graph pattern mining algorithms have been designed to identify recurring ...
This document from the fmr group introduces four types of methods for simplifying and/or partitionin...
Combinatorial problems based on graph partitioning enable to represent many practical applications. ...
This paper from the fmr group (flux, matrices, réseaux) reminds elementary rules regarding matrix al...
Most analyses of networks focus on simple graphs. Multigraphs are graphs including several links bet...
National audienceNeighborhood graphs know increasing use in many fields as in Data Science, or Multi...
Our research are about graph coloring with distance constraints (packing coloring) or neighborhood c...
International audienceThis paper introduces a clustering algorithm that is able to partition objects...
The goal of this these is to use graph's decompositions to solve algorithmic problems on graphs. We ...
Mathematical morphology is one of the most powerful frameworks which provides a set of filtering and...
This thesis describes algorithms on planar maps (graphs embedded in the plane without edge-crossings...
This PhD focuses on algorithms in the field of Mathematical Morphology and Image Processing, from th...
International audienceAbstract. — In recent years, many random graph models have been proposed to ex...
This paper from the group fmr (flux, matrices, networks) focuses on the graphical representation of ...
This thesis presents our contributions to inference and learning of graph-based models in computer v...
International audienceMany graph pattern mining algorithms have been designed to identify recurring ...