Cargando…
Multilabel Image Annotation Based on Double-Layer PLSA Model
Due to the semantic gap between visual features and semantic concepts, automatic image annotation has become a difficult issue in computer vision recently. We propose a new image multilabel annotation method based on double-layer probabilistic latent semantic analysis (PLSA) in this paper. The new d...
Autores principales: | Zhang, Jing, Li, Da, Hu, Weiwei, Chen, Zhihua, Yuan, Yubo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066723/ https://www.ncbi.nlm.nih.gov/pubmed/24999490 http://dx.doi.org/10.1155/2014/494387 |
Ejemplares similares
-
Pain Expression Recognition Based on pLSA Model
por: Zhu, Shaoping
Publicado: (2014) -
A reformulation of pLSA for uncertainty estimation and hypothesis testing in bio-imaging
por: Tar, P D, et al.
Publicado: (2020) -
CM-supplement network model for reducing the memory consumption during multilabel image annotation
por: Cao, Jianfang, et al.
Publicado: (2020) -
A catalogue with semantic annotations makes multilabel datasets FAIR
por: Kostovska, Ana, et al.
Publicado: (2022) -
Automated multilabel diagnosis on electrocardiographic images and signals
por: Sangha, Veer, et al.
Publicado: (2022)