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科研机构
西安交通大学 [9]
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期刊论文 [9]
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2019 [3]
2018 [4]
2016 [1]
2015 [1]
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专题:西安交通大学
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Large-Scale Robust Semisupervised Classification
期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 页码: 907-917
作者:
Zhang, Lingling
;
Luo, Minnan
;
Li, Zhihui
;
Nie, Feiping
;
Zhang, Huaxiang
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/11/19
Computational consumption
Labeled and unlabeled data
Optimization algorithms
Ridge regression
Semi- supervised learning
Semi-supervised classification
Semi-supervised learning methods
Semi-supervised method
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 页码: 2116-2132
作者:
Bi, Haixia
;
Sun, Jian
;
Xu, Zongben
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Convolutional Neural Networks (CNN)
Graph model
Image edge detection
Polarimetric synthetic aperture radars
Prediction algorithms
Semi-supervised method
Task analysis
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
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/19
Coarse to fine
DBSCAN clustering
Laplacians
Quasi-linear
Semi- supervised learning
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 2731-2742
作者:
Ying, Shihui
;
Wen, Zhijie
;
Shi, Jun
;
Peng, Yaxin
;
Peng, Jigen
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/26
semisupervised learning
matrix manifold
intrinsic algorithm
Classification
distance metric learning
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 页码: 648-660
作者:
Luo, Minnan
;
Chang, Xiaojun
;
Nie, Liqiang
;
Yang, Yi
;
Hauptmann, Alexander G.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/26
semisupervised learning
video semantic recognition
Feature selection
manifold regularization
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy
期刊论文
NEURAL COMPUTATION, 2018, 卷号: 30, 页码: 1426-1447
作者:
Zhang, Lingling
;
Liu, Jun
;
Luo, Minnan
;
Chang, Xiaojun
;
Zheng, Qinghua
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/26
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.
期刊论文
Neural computation, 2018, 卷号: 30, 页码: 1426-1447
作者:
Zhang Lingling
;
Liu Jun
;
Luo Minnan
;
Chang Xiaojun
;
Zheng Qinghua
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Manifold regularized non-negative matrix factorization with label information
期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2016, 卷号: 25, 期号: [db:dc_citation_issue]
作者:
Li, Huirong
;
Zhang, Jiangshe
;
Wang, Changpeng
;
Liu, Junmin
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
semisupervised learning
non-negative matrix factorization
label information
manifold regularization
MTC: A Fast and Robust Graph-Based Transductive Learning Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: [db:dc_citation_issue], 页码: 1979-1991
作者:
Zhang, Yan-Ming
;
Huang, Kaizhu
;
Geng, Guang-Gang
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
semisupervised learning (SSL)
transductive learning (TL)
large-scale manifold learning
Graph-based method
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