Wang, Xun
Yan, Guoli
Wang, Huiyan
Fu, Jianhai
Hua, Jing
Wang, Jingqi
Yang, Yutao
Zhang, Guofeng
Bao, Hujun
Funding for this research was provided by:
National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2014BAK14B01)
National Science Foundation of China (61472362, 61379075, 61272048)
Zhejiang Provincial Natural Seience Foundation of China (LZ16F020002)
Fundation for the Author of National Excellent Doctoral Dissertation of PR China (201245)
This article is maintained by: Elsevier
Article Title: Semantic annotation for complex video street views based on 2D–3D multi-feature fusion and aggregated boosting decision forests
Journal Title: Pattern Recognition
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.patcog.2016.08.030
Content Type: article
Copyright: © 2016 Elsevier Ltd. All rights reserved.