中国科学院机构知识库网格系统: 检索

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	Blending Surface Segmentation and Editing for 3D Models 期刊论文 OAI收割 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 8, 页码: 2879-2894 作者: Zhang, Long; Guo, Jianwei; Xiao, Jun; Zhang, Xiaopeng; Yan, Dong-Ming \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2022/07/25 Three-dimensional displays Solid modeling Shape Surface morphology Clustering algorithms Trajectory Partitioning algorithms Mesh segmentation structure recovery superfacets rolling-ball blending surface Markov random field
	A Comprehensive Survey on Community Detection With Deep Learning 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21 作者: Su, Xing \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2022/04/29 Deep learning Taxonomy Optimization Partitioning algorithms Clustering algorithms Social networking (online) Peer-to-peer computing Community detection deep learning graph neural network network representation social networks
	An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 4, 页码: 3275-3289 作者: Hu, Lun; Zhang, Jun; Pan, Xiangyu; Luo, Xin; Yuan, Huaqiang \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2022/08/22 Proteins Clustering algorithms Biology Search problems Partitioning algorithms Optimization Protein complex detection protein-protein interaction network link-based clustering network clustering
	Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 10, 页码: 6365-6383 作者: Cheng, Shifen; Lu, Feng; Peng, Peng \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/09/21 Roads Predictive models Spatiotemporal phenomena Adaptation models Forecasting Vehicle dynamics Partitioning algorithms Dynamic spatiotemporal k-nearest neighbor model short-term traffic forecasting spatiotemporal pattern temporal non-stationarity
	Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 10, 页码: 6365-6383 作者: Cheng, Shifen; Lu, Feng; Peng, Peng \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/09/21 Roads Predictive models Spatiotemporal phenomena Adaptation models Forecasting Vehicle dynamics Partitioning algorithms Dynamic spatiotemporal k-nearest neighbor model short-term traffic forecasting spatiotemporal pattern temporal non-stationarity
	Time Series Segmentation Clustering: A New Method for S-Phase Picking in Microseismic Data 期刊论文 OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5 作者: Zhu, Xinhao; Chen, Bingrui; Wang, Xu; Li, Tao \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/02/17 Data mining Clustering algorithms Monitoring Time series analysis Linear programming Rocks Partitioning algorithms K-means algorithm microseismic monitoring phase arrival picking S-wave
	A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13 作者: Cheng, Dongdong; Huang, Jinlong; Zhang, Sulan; Zhang, Xiaohua; Luo, Xin \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/08/22 Clustering algorithms Manifolds Matrix decomposition Sparse matrices Partitioning algorithms Approximation algorithms Level measurement Approximate spectral clustering common neighborhood-based distance dense cores density peaks geodesic distance
	Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 卷号: 22, 期号: 3, 页码: 367-380 作者: Zhang, Junping; Wang, Xiaodan; Kruger, Uwe; Wang, Fei-Yue 收藏 \| 浏览/下载：15/0 \| 提交时间：2015/08/12 Manifold learning principal component analysis principal curves space partitioning tree-based algorithms
	Image compression based on biorthogonal wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, October 12, 2005 - October 14, 2005, Beijing, China 作者: Gao Y.; Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 A method for image compression of biorthogonal wavelet transform based on lifting scheme with SPIHT (Set Partitioning In Hierachical Trees) is proposed in this paper. Wavelet transform affords wide space for image coding algorithms because of its excellent space-frequency localization characterizations. The compact supported symmetrical and biorthogonal wavelet has linear phase so it is applied on image compression area widely. The lifting scheme is an efficient method for constructing the wavelet filter after multiresolution. Under the condition of biorthogonal biorthogonal wavelet base can be constructed freely according to the wavelet performance. And it can quicken the implementation speed of the wavelet transform. Analyzing the algorithm of lifting scheme is applying for constructing biorthogonal wavelet. Experimental results indicate that the method of the biorthogonal wavelet that has good performances with SPIHT is applying for image compression so as image synthesis performs well. 2005 IEEE.