Cargando…
MSClique: Multiple Structure Discovery through the Maximum Weighted Clique Problem
We present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to each other, thus forming clusters in the image. Given a pair of input images, we...
Autores principales: | Sanroma, Gerard, Penate-Sanchez, Adrian, Alquézar, René, Serratosa, Francesc, Moreno-Noguer, Francesc, Andrade-Cetto, Juan, González Ballester, Miguel Ángel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713099/ https://www.ncbi.nlm.nih.gov/pubmed/26766071 http://dx.doi.org/10.1371/journal.pone.0145846 |
Ejemplares similares
-
RCPred: RNA complex prediction as a constrained maximum weight clique problem
por: Legendre, Audrey, et al.
Publicado: (2019) -
The maximum clique enumeration problem: algorithms, applications, and implementations
por: Eblen, John D, et al.
Publicado: (2012) -
Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem
por: Ning, Jianguo, et al.
Publicado: (2015) -
Computing a maximum clique in geometric superclasses of disk graphs
por: Grelier, Nicolas
Publicado: (2022) -
WMAXC: A Weighted Maximum Clique Method for Identifying Condition-Specific Sub-Network
por: Amgalan, Bayarbaatar, et al.
Publicado: (2014)