Cargando…
Compressed feature vector-based effective object recognition model in detection of COVID-19
To better understand the structure of the COVID-19, and to improve the recognition speed, an effective recognition model based on compressed feature vector is proposed. Object recognition plays an important role in computer vison aera. To improve the recognition accuracy, most recent approaches alwa...
Autores principales: | Chen, Chao, Mao, Jinhong, Liu, Xinzhi, Tan, Yi, Abaido, Ghada M, Alsayed, Hamdy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710134/ https://www.ncbi.nlm.nih.gov/pubmed/34975183 http://dx.doi.org/10.1016/j.patrec.2021.12.016 |
Ejemplares similares
-
Feature blindness: A challenge for understanding and modelling visual object recognition
por: Malhotra, Gaurav, et al.
Publicado: (2022) -
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
por: Woźniak, Marcin
Publicado: (2020) -
Deep learning in object detection and recognition
por: Jiang, Xiaoyue, et al.
Publicado: (2019) -
Tactile Perception Object Recognition Based on an Improved Support Vector Machine
por: Zhang, Xingxing, et al.
Publicado: (2022) -
What are the Visual Features Underlying Rapid Object Recognition?
por: Crouzet, Sébastien M., et al.
Publicado: (2011)