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Open set domain adaptation with latent structure discovery and kernelized classifier learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:
Tang, Yongqiang
;
Tian, Lei
;
Zhang, Wensheng
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Open set domain adaptation
Adaptive graph learning
Latent structure discovery
Kernelized classifier learning
Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167
作者:
Haonan Huang
;
Guoxu Zhou
;
Naiyao Liang
;
Qibin Zhao
;
Shengli Xie
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/09/22
Deep matrix factorization (DMF)
diversity
hypergraph regularization
multi-view data representation (MDR)
WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence
期刊论文
COMPUTER GRAPHICS FORUM, 2022, 卷号: 41, 期号: 7, 页码: 51-61
作者:
Liu, Shengjun
;
Xu, Haojun
;
Yan, Dong-Ming
;
Hu, Ling
;
Liu, Xinru
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Online Semisupervised Active Classification for Multiview PolSAR Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:
Nie, Xiangli
;
Fan, Mingyu
;
Huang, Xiayuan
;
Yang, Wenjing
;
Zhang, Bo
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  |  
浏览/下载:38/0
  |  
提交时间:2022/07/25
Task analysis
Feature extraction
Heuristic algorithms
Data models
Manifolds
Semisupervised learning
Training
Online active learning
online multiview learning
online semisupervised learning (SSL)
polarimetric synthetic aperture radar (PolSAR) data classification
Joint Sparse Locality-Aware Regression for Robust Discriminative Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:
Hu, Liangchen
;
Zhang, Wensheng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/02/16
Feature selection and extraction
joint L-2,L-1-norms sparsity
locality-aware graph learning
marginal representation learning
CKLPMDP algorithm for dimension reduction of a rotor fault data set
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 9, 页码: 37-42 and 54
作者:
An, Huang
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/17
Data reduction
Dimensionality reduction
Entropy
Graph algorithms
Learning algorithms
Nearest neighbor search
Statistical tests
Vector spaces
Classification performance
Data dimension reduction
Discriminant informations
Feature extraction methods
K-nearest neighbor classifiers (KNN)
Local manifold structure
Locality-preserving
Structure information
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices
期刊论文
Neural Networks, 2021, 卷号: 142, 页码: 105-118
作者:
Tang FZ(唐凤珍)
;
Feng HF(冯海峰)
;
Tino, Peter
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  |  
浏览/下载:5/0
  |  
提交时间:2021/05/25
Probabilistic learning vector quantization
Learning vector quantization
Symmetric positive definite matrices
Riemannian geodesic distances
Riemannian manifold
Fault Feature Extraction Method For Rotor Fusion of IMF Singular Value Entropy and Improved LE
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 6, 页码: 1204-1211
作者:
Sun, Zejin
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/02/17
Entropy
Extraction
Feature extraction
Learning algorithms
Nearest neighbor search
Statistical tests
Ensemble empirical mode decompositions (EEMD)
Fault feature extractions
Fault identifications
Intrinsic Mode functions
K nearest neighbor (KNN)
Manifold learning algorithm
Probability distance
Sensitive components
An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 11, 页码: 25
作者:
Hu, Xiaoyin
;
Liu, Xin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/09/23
dual principal component pursuit
orthogonality constraint
sparse dictionary learning
stiefel manifold
Age Estimation via Selecting Discriminated Features and Preserving Geometry
期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2020, 卷号: 14, 期号: 4, 页码: 1721-1737
作者:
Tian, Qing
;
Sun, Heyang
;
Ma, Chuang
;
Cao, Meng
;
Chu, Yi
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/06/22
Age Estimation
Least Square Regression
Cumulative Attribute Coding
Feature Selection
Manifold Learning
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