Concept
Graph rewriting
Related publications (315)
BloomGraph: Graph-Based Exploration of Bouquet Designs for Florist Apprentices
Pierre Dillenbourg, Kevin Gonyop Kim, Catharine Regina Monika Maria Oertel Genannt Bierbach
Exploring design space is an important process in finding solutions to a design task. In this paper, we present BloomGraph, an online application developed for florist apprentices to explore the space of bouquet designs. BloomGraph provides a graph-based i ...
Springer, Cham2019BloomGraph: Graph-Based Exploration of Bouquet Designs for Florist Apprentices
Pierre Dillenbourg, Kevin Gonyop Kim, Catharine Regina Monika Maria Oertel Genannt Bierbach
Exploring design space is an important process in finding solutions to a design task. In this paper, we present BloomGraph, an online application developed for florist apprentices to explore the space of bouquet designs. BloomGraph provides a graph-based i ...
SPRINGER INTERNATIONAL PUBLISHING AG2019Graph-Based Detection of Seams In 360-Degree Images
Pascal Frossard, Francesca De Simone, Sohyeong Kim, Roberto Gerson De Albuquerque Azevedo
In this paper, we propose an algorithm to detect a specific kind of distortions, referred to as seams, which commonly occur when a 360-degree image is represented in planar domain by projecting the sphere to a polyhedron, e.g, via the Cube Map (CM) project ...
2019Efficient large-scale graph processing: optimisations for storage, performance and evolving graphs
Graph processing systems are used in a wide variety of fields, ranging from biology to social networks.
Algorithms to mine graphs incur many random accesses, and the sparse nature of the graphs of interest, exacerbates this. As DRAM sustains high bandwidt ...
EPFL2019Slepian Guided Filtering of Graph Signals
Dimitri Nestor Alice Van De Ville, Miljan Petrovic
Joint localization of graph signals in vertex and spectral domain is achieved in Slepian vectors calculated by either maximizing energy concentration (mu) or minimizing modified embedded distance (xi) in the subgraph of interest. On the other hand, graph L ...
SPIE-INT SOC OPTICAL ENGINEERING2019Graph Learning with Partial Observations: Role of Degree Concentration
Ali H. Sayed, Augusto José Rabelo Almeida Santos
In this work we consider the problem of learning an Erdos-Renyi graph over a diffusion network when: i) data from only a limited subset of nodes are available (partial observation); ii) and the inferential goal is to discover the graph of interconnections ...
IEEE2019Graph Spectral Analysis Of Voxel-Wise Brain Graphs From Diffusion-Weighted Mri
Dimitri Nestor Alice Van De Ville, Hamid Behjat, Anjali Bagunu Tarun
Non-invasive characterization of brain structure has been made possible by the introduction of magnetic resonance imaging (MRI). Graph modeling of structural connectivity has been useful, but is often limited to defining nodes as regions from a brain atlas ...
IEEE2019