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	A Deep Path Planning Algorithm Based on CNNs for Perception Images 会议论文 Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30 作者: Li, G.; Ma, Y. 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/30 Computer games Convolution Deep learning Deep neural networks Learning algorithms Neural networks Robot programming Robots Stars Convolutional neural network End-to-end models Feature extracting Global path planning Modified a Path planning for robots Path-planning algorithm Scene understanding Motion planning
	Improvements in the decision making for Cleaner Production by data mining: Case study of vanadium extraction industry using weak acid leaching process 期刊论文 Journal of Cleaner Production, 2017, 卷号: 143, 页码: 582-597 作者: Li, Jia*; Zhang, Yimin; Du, Dongyun; Liu, Zhengyu 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/04 Extracting vanadium from stone coal Cleaner Production (CP) Support Vector Machine (SVM) Genetic Algorithm (GA) Assessment methods Data mining methodology
	A portable foot-parameter-extracting system 会议论文作者: Zhang, Mingkai; Liang, Jin; Li, Wenpan; Liu, Shifan 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/11/26 Calibration parameters Extracting algorithm Feature point detection Foot parameters FPFHs Iterative closest point algorithm Projector calibration SAC-IA
	Damaged road extracting with high resolution aerial image of post-earthquake 会议论文作者: Zheng, Zezhong; Pu, Chengjun; Zhu, Mingcang; Xia, Jun; Zhang, Xiang 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/05 Damaged road extracting mathematical morphology k-means clustering algorithm high resolution aerial images of post-earthquake
	Power frequency zero-sequence directional element for parallel transmission lines 会议论文作者: Ding, Jun; Kang, Xiaoning; Wang, Huanhuan; Hojo, Masahide; Jiao, Zaibin 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/02 Data windows Directional elements Extracting algorithm Power frequency Zero sequences
	A new extracting algorithm of k nearest neighbors searching for point clouds 期刊论文 Pattern Recognition Letters, 2014, 卷号: 49, 页码: 162-170 作者: Li, Zisheng; Ding, Guofu*; Li, Rong; Qin, Shengfeng 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/23 kNN searching algorithm Extracting algorithm Distance comparison using vector inner product Point clouds
	A novel algorithm for action landmarks extraction (EI CONFERENCE) 会议论文 2012 2nd International Conference on Advanced Materials and Computer Science, ICAMCS 2012, December 27, 2012 - December 28, 2012, Xiamen, China Zhao J.; Yang Y. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 In this work we present a new algorithm for extracting action landmarks from proposition landmarks graph. Compared to published approaches the action landmarks extraction algorithm we proposed can find more disjunctive action landmarks and single action landmarks. We illustrate our ideas with experiments among benchmark domains. The experiments show that the new algorithm is competitive with traditional algorithm for finding action landmarks from relaxed plan graph. (2013) Trans Tech Publications Switzerland.
	An Improved Zero-sequence Directional Element for Parallel Lines Based on Fast Phasor Extracting Algorithm 会议论文作者: Ding, Jun; Kang, Xiaoning; Yang, Liming; Hojo, Masahide 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/03 zero-sequence component directional element fast phasor extracting algorithm model recognition
	A framework for measurement and analysis of surface defects on sphere parts 会议论文作者: Zhou, Awei; Guo, Junjie; Li, Beizhan 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/10 Back-propagation neural networks Complex shapes Defect analysis Empirical Mode Decomposition Extracting algorithm Measurement and analysis Search spaces Surface defect detections
	Automatic bridge extraction for optical images (EI CONFERENCE) 会议论文 6th International Conference on Image and Graphics, ICIG 2011, August 12, 2011 - August 15, 2011, Hefei, Anhui, China Gu D.-Y.; Zhu C.-F.; Shen H.; Hu J.-Z.; Chang H.-X. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge we extract the river regions which the bridges are included in. Firstly we segment the optical image to get the coarse water bodies using iterative threshold eliminate the noise regions and add the missing regions based on k-means clustering with texture information and spatial coherence. Then the blanks are connected based on shape features and candidate bridge regions are segmented from river regions. Finally the bridges are verified by geometric information and the ubiety between bridges and river. The results show that this approach is efficient and effective for extracting bridges in satellite image from Google Earth and in aerial optical images acquired by unmanned aerial vehicle. 2011 IEEE.

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