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	Accurate Registration of Cross-Modality Geometry via Consistent Clustering 期刊论文 OAI收割 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: 30, 期号: 7, 页码: 4055-4067 作者: Zhao, Mingyang; Huang, Xiaoshui; Jiang, Jingen; Mou, Luntian; Yan, Dong-Ming \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/09/09 Point cloud compression Geometry Three-dimensional displays Laser radar Tensors Clustering algorithms Solid modeling Cross-modality geometry point cloud registration 3D reconstruction adaptive fuzzy clustering CAD
	A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm 期刊论文 OAI收割 EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 页码: 12 作者: Zhang, Shunchao; Wang, Yonghua; Li, Jiangfan; Wan, Pin; Zhang, Yongwei \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2019/07/12 Cooperative spectrum sensing Information geometry Decomposition and recombination Fuzzy c-means clustering algorithm
	A novel visual codebook model based on fuzzy geometry for large-scale image classification 期刊论文 OAI收割 pattern recognition, 2015, 卷号: 48, 期号: 10, 页码: 3125-3134 作者: Li, Yanshan; Huang, Qinghua; Xie, Weixin; Li, Xuelong 收藏 \| 浏览/下载：38/0 \| 提交时间：2015/08/18 Codebook Fuzzy geometry Fuzzy set theory Image classification
	A new method for automatic gross error detection in remote sensing image geometric correction 会议论文 OAI收割 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010,, Yantai, Shandong, China, August 10, 2010 - August 12,2010 Long, Tengfei; Jiao, Weili; Jia, Xiupeng 收藏 \| 浏览/下载：18/0 \| 提交时间：2014/12/07 Error detection Cluster analysis Clustering algorithms Fuzzy sets Geometry Image coding Image reconstruction Markov processes Remote sensing Satellites
	Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J. 收藏 \| 浏览/下载：156/0 \| 提交时间：2013/03/25 In order to match the intersectant targets' tab when these objects separate a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate target speed target size and geometry shape and different parameter corresponds to different influence coefficient evaluate the integrated matching coefficient that every observation target corresponds to forecasted target and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target a new method of track forecast is proposed firstly Hough transform is used to the object's track before objects intersect by this the object's positions that the warp between forecasted location and observation location is large enough is eliminated then least square method is used for track forecast by the remainder valid positions and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate the right identification probability of traditional least square method is 87.5% and the right identification probability of fuzzy match by multi-parameters can attain 96% the reliability improves in evidence.
	Non-commutative algebra of functions of 4-dimensional quantum Hall droplet 期刊论文 OAI收割 NUCLEAR PHYSICS B, 2002, 卷号: 638, 页码: 220-242 作者: Chen, YX; Hou, BY; Hou, BY \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2018/05/31 4-dimensional quantum Hall system fuzzy monopole harmonics non-commutative geometry