中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共15条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Accelerating k-Shape Time Series Clustering Algorithm Using GPU 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 10, 页码: 2718-2734
作者:  Wang, Xun;  Song, Ruibao;  Xiao, Junmin;  Li, Tong;  Li, Xueqi
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Data space  time series analysis  time series clustering  GPU architecture  k-shape algorithm  
An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140
作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/07
Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression  
Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 2367-2380
作者:  Tan, Guangming;  Shui, Chaoyang;  Wang, Yinshan;  Yu, Xianzhi;  Yan, Yujin
收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01
Pipeline processing  Graphics processing units  Computer architecture  Supercomputers  Clustering algorithms  Programming  Optimization  LINPACK algorithm  software pipeline  performance model  heterogeneous computing  cluster  
Accelerated LiDAR data processing algorithm for self-driving cars on the heterogeneous computing platform 期刊论文
IET COMPUTERS AND DIGITAL TECHNIQUES, 2020, 卷号: 14, 期号: 5, 页码: 201-209
作者:  Li, Wei;  Liang, Jun;  Zhang, Yunquan;  Jia, Haipeng;  Xiao, Lin;  Li, Qing
收藏  |  浏览/下载：126/0  |  提交时间：2020/12/10
feature extraction  optical radar  optimisation  optical information processing  traffic engineering computing  mobile robots  automobiles  accelerated LiDAR data processing algorithm  self-driving cars  heterogeneous computing platform  optimisation  NVIDIA Tegra X2 computing platform  feature extraction  obstacle clustering  
Grid-based DBSCAN: Indexing and inference 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 271-284
作者:  Boonchoo, Thapana;  Ao, Xiang;  Liu, Yang;  Zhao, Weizhong;  Zhuang, Fuzhen;  He, Qing
收藏  |  浏览/下载：213/0  |  提交时间：2019/08/16
Density-based clustering  Grid-based DBSCAN  Union-find algorithm  
An improved density peaks clustering algorithm with fast finding cluster centers 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2018, 卷号: 158, 页码: 65-74
作者:  Xu, Xiao;  Ding, Shifei;  Shi, Zhongzhi
收藏  |  浏览/下载：79/0  |  提交时间：2019/12/10
Density peaks clustering algorithm  Prescreening strategy  Large-scale data set  Decision graph  Computational complexity  
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 3, 页码: 861-872
作者:  Fan, Shuyan;  Ding, Shifei;  Xue, Yu
收藏  |  浏览/下载：47/0  |  提交时间：2019/12/10
Kernel K-means  Shuffled frog leaping algorithm  Clustering validity index  Clustering analysis  
An Automatically Learning and Discovering Human Fishing Behaviors Scheme for CPSCN 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 19844-19858
作者:  Zhang, Jilin;  Geng, Jiali;  Wan, Jian;  Zhang, Yifan;  Li, Mingwei;  Wang, Jue;  Xiong, Neal N.
收藏  |  浏览/下载：82/0  |  提交时间：2019/12/10
Human fishing behavior  multi-step clustering algorithm  CPSCN  trajectory  vessel monitoring systems  
A Cerebrovascular Image Segmentation Method Based on Geometrical Feature Point Clustering and Local Threshold 期刊论文
CURRENT MEDICAL IMAGING REVIEWS, 2018, 卷号: 14, 期号: 5, 页码: 748-770
作者:  Liu, Bin;  Zhu, Chen;  Qu, Xiaofeng;  Wang, Mingzhe;  Zhang, Song;  Wang, Yi;  Fan, Xin;  Luo, Zhongxuan;  Zhang, Bingbing;  Yue, Zongge
收藏  |  浏览/下载：78/0  |  提交时间：2019/12/10
Digital subtraction angiography  cerebrovascular image segmentation  feature point clustering  local threshold  SIFT algorithm  DSA interventional therapy  
Fast density clustering strategies based on the k-means algorithm 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 页码: 375-386
作者:  Bai, Liang;  Cheng, Xueqi;  Liang, Jiye;  Shen, Huawei;  Guo, Yike
收藏  |  浏览/下载：80/0  |  提交时间：2019/12/12
Cluster analysis  Density-based clustering  Acceleration mechanism  Approximate algorithm  k-means