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科研机构
大连理工大学 [32]
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期刊论文 [24]
会议论文 [8]
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2019 [5]
2018 [5]
2017 [6]
2016 [4]
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专题:大连理工大学
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Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things
期刊论文
Future Generation Computer Systems, 2019, 卷号: 100, 页码: 523-530
作者:
Qiu, Xiru
;
Chen, Zhikui
;
Zhao, Liang
;
Hu, Chengsheng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/02
Factorization
Internet of things
Iterative methods
Machine learning, Dual graphs
Feature learning
Geometric structure
Heterogeneous information
Multi-view learning
Nonnegative matrix factorization
Objective functions
Subspace learning, Matrix algebra
Deep point-to-subspace metric learning for sketch-based 3D shape retrieval
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96
作者:
Lei, Yinjie
;
Zhou, Ziqin
;
Zhang, Pingping
;
Guo, Yulan
;
Ma, Zijun
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/02
Sketch-based 3D shape retrieval
Cross-modality discrepancy
Representative-view selection
Point-to-subspace distance
Multi-view laplacian least squares for human emotion recognition
期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 页码: 78-87
作者:
Guo, Shuai
;
Feng, Lin
;
Feng, Zhan-Bo
;
Li, Yi-Hao
;
Wang, Yang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Multi-view learning
Laplacian least squares
Subspace learning
Human emotion recognition
Robust subspace learning-based low-rank representation for manifold clustering
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 页码: 7921-7933
作者:
Tang, Kewei
;
Su, Zhixun
;
Jiang, Wei
;
Zhang, Jie
;
Sun, Xiyan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Subspace learning
Low-rank representation
Manifold clustering
Spectral clustering-based methods
Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 74122-74133
作者:
Ji, Qiang
;
Sun, Yanfeng
;
Gao, Junbin
;
Hu, Yongli
;
Yin, Baocai
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/02
Nonlinear subspace clustering
adaptive graph regularizer
deep autoencoder
feature learning
Combinative hypergraph learning in subspace for cross-modal ranking
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 页码: 25959-25982
作者:
Zhong, Fangming
;
Chen, Zhikui
;
Min, Geyong
;
Ning, Zhaolong
;
Zhong, Hua
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/02
Cross-modal ranking
Subspace learning
Hypergraph
Similarity preserving
Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering.
期刊论文
Neural networks : the official journal of the International Neural Network Society, 2018, 卷号: 103, 页码: 1-8
作者:
Wang Y.
;
Wu L.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Low-Rank Representation
Multi-view subspace learning
Clustering
Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 页码: 335-348
作者:
Li, Bo
;
Liu, Risheng
;
Cao, Junjie
;
Zhang, Jie
;
Lai, Yu-Kun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Low-rank representation
subspace learning
large-scale data
dynamic data
online learning
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning
期刊论文
NEUROCOMPUTING, 2018, 卷号: 291, 页码: 59-70
作者:
Chen, Haoran
;
Sun, Yanfeng
;
Gao, Junbin
;
Hu, Yongli
;
Yin, Baocai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Fast optimization algorithm
Riemannian manifolds
Low-rank matrix variety
Low-rank representation
Subspace pursuit
Augmented Lagrange method
Clustering
Co-regularized Multi-view Subspace Clustering
会议论文
The 10th Asian Conference on Machine Learning(ACML 2018)
作者:
Yu H(于红)
;
Zhang TT(张田田)
;
Lian YH(廉亚红)
;
Cai Y(蔡钰)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
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