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
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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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