Cargando…
A Vehicle Recognition Algorithm Based on Deep Transfer Learning with a Multiple Feature Subspace Distribution
Vehicle detection is a key component of environmental sensing systems for Intelligent Vehicles (IVs). The traditional shallow model and offline learning-based vehicle detection method are not able to satisfy the real-world challenges of environmental complexity and scene dynamics. Focusing on these...
Autores principales: | Wang, Hai, Yu, Yijie, Cai, Yingfeng, Chen, Long, Chen, Xiaobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308963/ https://www.ncbi.nlm.nih.gov/pubmed/30477172 http://dx.doi.org/10.3390/s18124109 |
Ejemplares similares
-
A Vehicle Detection Algorithm Based on Deep Belief Network
por: Wang, Hai, et al.
Publicado: (2014) -
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
por: Zhang, Bailing, et al.
Publicado: (2011) -
A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms
por: Bajwa, Usama Ijaz, et al.
Publicado: (2013) -
Subspace methods for pattern recognition in intelligent environment
por: Chen, Yen-Wei, et al.
Publicado: (2014) -
Vehicle Detection by Fusing Part Model Learning and Semantic Scene Information for Complex Urban Surveillance
por: Cai, Yingfeng, et al.
Publicado: (2018)