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上海电子信息职业技... [10]

西安交通大学 [9]

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	Blending Surface Segmentation and Editing for 3D Models 期刊论文 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：28/0 \| 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 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21 作者: Su, Xing; Xue, Shan; Liu, Fanzhen; Wu, Jia; Yang, Jian 收藏 \| 浏览/下载：22/0 \| 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
	Time Series Segmentation Clustering: A New Method for S-Phase Picking in Microseismic Data 期刊论文 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
	HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 74612-74624 作者: Linlin Zhuo; Kenli Li; Bo Liao; Hao Li; Xiaohui Wei 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/13 Clustering algorithms Kernel Computer science Partitioning algorithms Digital multimedia broadcasting Data communication Communication standards Cluster candidate center density peak based hierarchical merge subclusters two-stage algorithm uneven distribution within local clusters
	PPLS/D: Parallel Pareto Local Search Based on Decomposition 期刊论文 IEEE Transactions on Cybernetics, 2018 作者: Shi, Jialong; Zhang, Qingfu; Sun, Jianyong 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/26 Local search Multiobjective combinatorial optimization Parallel metaheuristic Partitioning algorithms Search problem Unconstrained binary quadratic programming
	Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy 期刊论文 IEEE Transactions on Cybernetics, 2018 作者: Ren, Zhigang; Liang, Yongsheng; Zhang, Aimin; Yang, Yang; Feng, Zuren 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 Boosting Computation resource allocations Cooperative co-evolution Differential Evolution Large-scale optimization Partitioning algorithms Resource management
	Application of Clustering Analysis in BrainGene Data based on Deep Learing 期刊论文 IEEE Access, 2018 作者: Suo Y.; Liu T.; Jia X.; Yu F. 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/12/11 brain brain gene data clustering Clustering algorithms Decision trees deep beliefnetwork Feature extraction Forestry fuzzy c-means algorithm Gene expression Partitioning algorithms unsupervised learning
	Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering 期刊论文 IEEE Transactions on Fuzzy Systems, 2018, 页码: 1 作者: LifengHe; AsokeK.Nandi; YanningZhang; TaoLei; XiaohongJia 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/24 Clustering algorithms Image segmentation Robustness Linear programming Computational complexity Partitioning algorithms Electronic mail Image segmentation fuzzy c-means clustering local spatial information morphological reconstruction
	A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine. 期刊论文 IEEE Transactions on Neural Networks & Learning Systems, 2018, 卷号: Vol.29 No.6, 页码: 2337-2351 作者: Duan, Mingxing; Li, Kenli; Liao, Xiangke; Li, Keqin 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/26 Big Data classification Classification algorithms extreme learning machine (ELM) matrix Matrix decomposition Memory management parallel algorithms Partitioning algorithms Spark Sparks Training
	A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2018, 卷号: Vol.29 No.6, 页码: 2337-2351 作者: Mingxing Duan; Kenli Li; Xiangke Liao; Keqin Li 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/26 Sparks Big Data Matrix decomposition Classification algorithms Training Partitioning algorithms Memory management Big data classification extreme learning machine (ELM) matrix parallel algorithms Spark

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