Cargando…
ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback
One of the main challenges in CBIR systems is to choose discriminative and compact features, among dozens, to represent the images under comparison. Over the years, a great effort has been made to combine multiple features, mainly using early, late, and hierarchical fusion techniques. Unveiling the...
Autores principales: | Alarcão, Soraia M., Mendonça, Vânia, Maruta, Carolina, Fonseca, Manuel J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391217/ https://www.ncbi.nlm.nih.gov/pubmed/36035324 http://dx.doi.org/10.1007/s11042-022-13119-0 |
Ejemplares similares
-
Sistemas CBIR : recuperación de imágenes por rasgos visuales /
por: Pérez Álvarez, Sara
Publicado: (2007) -
An efficient image descriptor for image classification and CBIR
por: Shakarami, Ashkan, et al.
Publicado: (2020) -
CBIR-SAR System Using Stochastic Distance
por: Sousa, Alcilene Dalília, et al.
Publicado: (2023) -
Histopathological Image Deep Feature Representation for CBIR in Smart PACS
por: Tommasino, Cristian, et al.
Publicado: (2023) -
Sistemas expertos
Publicado: (1988)