Cargando…
Effective and Generalizable Graph-Based Clustering for Faces in the Wild
Face clustering is the task of grouping unlabeled face images according to individual identities. Several applications require this type of clustering, for instance, social media, law enforcement, and surveillance applications. In this paper, we propose an effective graph-based method for clustering...
Autores principales: | Chang, Leonardo, Pérez-Suárez, Airel, González-Mendoza, Miguel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931015/ https://www.ncbi.nlm.nih.gov/pubmed/31915428 http://dx.doi.org/10.1155/2019/6065056 |
Ejemplares similares
-
Overlapping Community Detection Using Multi-objective Approach and Rough Clustering
por: Grass-Boada, Darian Horacio, et al.
Publicado: (2020) -
Generalizable Machine Learning in Neuroscience Using Graph Neural Networks
por: Wang, Paul Y., et al.
Publicado: (2021) -
Generalizability theory
por: Brennan, Robert L
Publicado: (2001) -
Concerns on Generalizability
por: Lin, Yongjian
Publicado: (2023) -
Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb
por: Canudas, Núria Valls, et al.
Publicado: (2022)