中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Weighted Margin Sparse Embedded classifier for brake cylinder detection

文献类型:期刊论文

作者Cao Yao; Zhang Baochang; Liu Jianzhuang; Ma Jiangsha
刊名NEUROCOMPUTING
出版日期2013
英文摘要This paper proposes a new Weighted Margin Sparse Embedded (WMSE) classifier for brake cylinder detection, which is a big challenge in Trouble of Freight car Detection System (TFDS) of China. The major contributions of this paper are in three folds. (1) The proposed method is a combination of the Sparse Embedded (SE) and the Weighted Margin LearningS (WML) models, which are iteratively performed toward optimal classifier ensemble. The final classifier in cascades takes advantages of VC-dimension minimization and weighted margin learning, which provides a new investigation into the literature of classifier design. (2) Convergence of the WMSE classifier is theoretically proven, which is a desirable characteristic for object detection due to existence of large-scale training datasets in real applications. (3)To evaluate the performance of the proposed method, we establish and distribute the challenging BeiHang Brake Cylinder (BH-BC) Database containing over 2000 annotated brake cylinder images with various appearances and almost indistinguishable backgrounds. Comparative experimental results on the BH-BC database show that our approach can get a much higher detection performance than the state-of-the-art classifiers (Support Vector Machine and Adaboost).
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0925231213004852
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4361]  
专题深圳先进技术研究院_集成所
作者单位NEUROCOMPUTING
推荐引用方式
GB/T 7714
Cao Yao,Zhang Baochang,Liu Jianzhuang,et al. Weighted Margin Sparse Embedded classifier for brake cylinder detection[J]. NEUROCOMPUTING,2013.
APA Cao Yao,Zhang Baochang,Liu Jianzhuang,&Ma Jiangsha.(2013).Weighted Margin Sparse Embedded classifier for brake cylinder detection.NEUROCOMPUTING.
MLA Cao Yao,et al."Weighted Margin Sparse Embedded classifier for brake cylinder detection".NEUROCOMPUTING (2013).

入库方式: OAI收割

来源:深圳先进技术研究院

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