Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation

The problem of missing values (MVs) in traffic sensor data analysis is universal in current intelligent transportation systems because of various reasons, such as sensor malfunction, transmission failure, etc. Accurate imputation of MVs is the foundation of subsequent data analysis tasks since most...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiaobo, Chen, Cheng, Cai, Yingfeng, Wang, Hai, Ye, Qiaolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163639/
https://www.ncbi.nlm.nih.gov/pubmed/30200348
http://dx.doi.org/10.3390/s18092884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163639/
https://www.ncbi.nlm.nih.gov/pubmed/30200348
http://dx.doi.org/10.3390/s18092884

Ejemplares similares