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浏览/检索结果:
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Fault diagnosis of rotor based on Semi-supervised Multi-Graph Joint Embedding
期刊论文
ISA Transactions, 2022
作者:
Yuan, Jianhui
;
Zhao, Rongzhen
;
He, Tianjing
;
Chen, Pengfei
;
Wei, Kongyuan
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/20
Clustering algorithms
Data reduction
Failure analysis
Fault detection
Graph theory
Supervised learning
Dimensionality reduction
Embeddings
Fault data
Faults diagnosis
High-dimensional
Hyper graph
Hypergraph structure
Rotor systems
Sample point
Semi-supervised
Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes
期刊论文
PEERJ, 2021, 卷号: 9
作者:
Li, Shanjia
;
Wang, Hui
;
Jin, Ling
;
White, James F.
;
Kingsley, Kathryn L.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/10/14
Angelica sinensis
Mineral elements
Stable isotopes
Discriminant analysis
KSELF Dimension Reduction Method Based on Rotor Fault Data Set
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 13-18
作者:
Hu, Wengang
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/04/12
Discriminant analysis
Fisher information matrix
Linear transformations
Metadata
Statistical tests
Classification accuracy
Dimension reduction method
Fault characteristics
High dimensional spaces
High-dimensional feature space
Local Fisher Discriminant Analysis
Nonlinear information
Projection transformation
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15
作者:
Hu, Liangchen
;
Xu, Jingke
;
Tian, Lei
;
Zhang, Wensheng
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  |  
浏览/下载:23/0
  |  
提交时间:2021/01/07
Maximum margin criterion
Robustness
Adaptive centroid
L-1,L-2-norm sparsity
Dimensionality reduction
Supervised Dimensionality Reduction Methods via Recursive Regression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:
Liu, Yun
;
Zhang, Rui
;
Nie, Feiping
;
Li, Xuelong
;
Ding, Chris
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/10/23
Dimensionality reduction
Linear discriminant analysis
Eigenvalues and eigenfunctions
Learning systems
Computer science
Optical imaging
Optics
Optimal scaling (OS)
orthogonal least squares regression (OLSR)
orthogonal linear discriminant analysis (OLDA)
recursive regression
supervised dimensionality reduction
Semi-supervised partial least squares
期刊论文
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 卷号: 18, 期号: 3, 页码: 1-12
作者:
Jin, Xi
;
Zhang, Xing
;
Rao, Kaifeng
;
Tang, Liang
;
Xie, Qiwei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/09/14
Partial least squares
semi-supervised
unsupervised learning
dimensionality reduction
principal model analysis
Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition
期刊论文
INFORMATION SCIENCES, 2020, 卷号: 509, 页码: 243-256
作者:
Liu, Shenglan
;
Guo, Shuai
;
Wang, Wei
;
Qiao, Hong
;
Wang, Yang
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  |  
浏览/下载:13/0
  |  
提交时间:2020/03/30
Human emotion recognition
MvLE
BON
MHON
RGB-D
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction.
期刊论文
IEEE Transactions on Neural Networks & Learning Systems, 2019, 卷号: Vol.30 No.9, 页码: 2779-2793
作者:
Pang, Yanwei
;
Zhou, Bo
;
Nie, Feiping
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/11/21
Deep learning
Dimensionality reduction
Feature extraction
Learning systems
projection matrix
Sparse matrices
subspace learning
Toy manufacturing industry
Training
Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition
期刊论文
NEURAL COMPUTATION, 2019, 卷号: 31, 期号: 1, 页码: 156-175
作者:
Liu TC(刘天赐)
;
Shi ZL(史泽林)
;
Liu YP(刘云鹏)
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  |  
浏览/下载:9/0
  |  
提交时间:2019/01/28
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