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浏览/检索结果:
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Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
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  |  
浏览/下载:26/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586
作者:
Xie, Yuan
;
Zhang, Wensheng
;
Qu, Yanyun
;
Dai, Longquan
;
Tao, Dacheng
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  |  
浏览/下载:51/0
  |  
提交时间:2020/03/30
Tensile stress
Manifolds
Encoding
Laplace equations
Semisupervised learning
Correlation
Optimization
Manifold regularization
multilinear
multiview features
nonlinear subspace clustering
tensor singular-value decomposition (t-SVD)
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1133-1149
作者:
Fang, Xiaozhao
;
Han, Na
;
Wong, Wai Keung
;
Teng, Shaohua
;
Wu, Jigang
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  |  
浏览/下载:51/0
  |  
提交时间:2019/04/17
Affinity matrix
clustering
low-rank representation (LRR)
sparse representation
A coarse-to-fine two-step method for semisupervised classification using quasi-linear Laplacian SVM
期刊论文
IEEJ Transactions on Electrical and Electronic Engineering, 2019, 卷号: 14, 页码: 441-448
作者:
Zhou, Bo
;
Li, Weite
;
Hu, Jinglu
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  |  
浏览/下载:12/0
  |  
提交时间:2019/11/19
Coarse to fine
DBSCAN clustering
Laplacians
Quasi-linear
Semi- supervised learning
Semisupervised Sparse Subspace Clustering Method With a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 3
作者:
Huang, Shaoguang
;
Zhang, Hongyan
;
Pizurica, Aleksandra
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浏览/下载:5/0
  |  
提交时间:2019/12/05
Hyperspectral image (HSI)
joint sparsity
semisupervised clustering
sparse subspace clustering (SSC)
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 卷号: Vol.12 No.1, 页码: 357-370
作者:
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浏览/下载:10/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Training
Semisupervised learning
Imaging
Supervised learning
Active learning
clustering
hyperspectral image classification
semisupervised learning
superpixel
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: Vol.12 No.1, 页码: 357-370
作者:
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Active learning
clustering
hyperspectral image classification
semisupervised learning
superpixel
An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning
期刊论文
2017
作者:
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/30
Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification
会议论文
25th international joint conference on artificial intelligence, ijcai 2016, new york, ny, united states, 2016-07-09
作者:
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浏览/下载:186/0
  |  
提交时间:2017/01/04
Artificial intelligence
Graphic methods
Learning algorithms
Virtual reality
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