Cargando…
Universal Feature Extraction for Traffic Identification of the Target Category
Traffic identification of the target category is currently a significant challenge for network monitoring and management. To identify the target category with pertinence, a feature extraction algorithm based on the subset with highest proportion is presented in this paper. The method is proposed to...
Autores principales: | Shen, Jian, Xia, Jingbo, Dong, Shufu, Zhang, Xiaoyan, Fu, Kai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104389/ https://www.ncbi.nlm.nih.gov/pubmed/27832103 http://dx.doi.org/10.1371/journal.pone.0165993 |
Ejemplares similares
-
The Effect of Land-Use Categories on Traffic Noise Annoyance
por: Lechner, Christoph, et al.
Publicado: (2022) -
A novel traffic accident detection method with comprehensive traffic flow features extraction
por: Zhu, Liping, et al.
Publicado: (2022) -
DetectFormer: Category-Assisted Transformer for Traffic Scene Object Detection
por: Liang, Tianjiao, et al.
Publicado: (2022) -
Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction
por: Long, Gang, et al.
Publicado: (2023) -
Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features
por: Zhou, Xiaoyan, et al.
Publicado: (2019)