Cargando…
A Feature Fusion Method with Guided Training for Classification Tasks
In this paper, a feature fusion method with guiding training (FGT-Net) is constructed to fuse image data and numerical data for some specific recognition tasks which cannot be classified accurately only according to images. The proposed structure is divided into the shared weight network part, the f...
Autores principales: | Zhang, Taohong, Fan, Suli, Hu, Junnan, Guo, Xuxu, Li, Qianqian, Zhang, Ying, Wulamu, Aziguli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062192/ https://www.ncbi.nlm.nih.gov/pubmed/33936189 http://dx.doi.org/10.1155/2021/6647220 |
Ejemplares similares
-
Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification
por: Zhang, Dezheng, et al.
Publicado: (2023) -
Investigating Multi-Level Semantic Extraction with Squash Capsules for Short Text Classification
por: Li, Jing, et al.
Publicado: (2022) -
Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC)
por: Gaye, Babacar, et al.
Publicado: (2021) -
MO-SOD: Micro-Oxidation
Small Object Detection Model
for Oxygen-Free Copper Surfaces Based on Microscopic Imaging System
por: Li, Qianqian, et al.
Publicado: (2023) -
Short Text Paraphrase Identification Model Based on RDN-MESIM
por: Li, Jing, et al.
Publicado: (2021)