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科研机构
自动化研究所 [63]
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期刊论文 [42]
学位论文 [13]
会议论文 [8]
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2023 [1]
2022 [3]
2021 [7]
2020 [6]
2019 [6]
2018 [5]
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Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:
Tang, Yongqiang
;
Xie, Yuan
;
Zhang, Wensheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Affine subspace
low-rank representation
low-rank tensor
multi-view learning
subspace clustering
Structure-aware siamese graph neural networks for encounter-level patient similarity learning
期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:
Gu, Yifan
;
Yang, Xuebing
;
Tian, Lei
;
Yang, Hongyu
;
Lv, Jicheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/06/10
Encounter-Level Patient Similarity
Representation Learning
Siamese Networks
Graph Neural Networks
Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 页码: 1
作者:
Zhen-Liang Ni
;
Gui-Bin Bian
;
Zhen Li
;
Xiao-Hu Zhou
;
Rui-Qi Li
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/06/15
Surgical Image Segmentation
Space Squeeze Reasoning
Bilinear Feature Fusion
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
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  |  
浏览/下载:12/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Towards Binarized MobileNet via Structured Sparsity
会议论文
Hainan, China, 2021-12-26
作者:
Zhenmeng, Zuo
;
Zhexin, Li
;
Peisong, Wang
;
Weihan, Chen
;
Jian, Cheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/06/15
Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 3, 页码: 916-930
作者:
Li, Ao
;
Chen, Jiajia
;
Chen, Deyun
;
Yu, Xiaoyang
;
Yuan, Mengke
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  |  
浏览/下载:34/0
  |  
提交时间:2021/11/03
Tensors
Matrix decomposition
Adaptation models
Data models
Probabilistic logic
Learning systems
Image reconstruction
Low-rank approximation
multiview clustering
similarity learning
tensor analysis
Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering
期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Yongqiang, Tang
;
Yuan, Xie
;
Chenyang, Zhang
;
Wensheng, Zhang
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  |  
浏览/下载:27/0
  |  
提交时间:2022/04/01
Multi-view learning
pairwise constraint
semi-supervised clustering
subspace learning
tensor singular value decomposition (t-SVD)
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1204-1216
作者:
Xu, Jiamiao
;
Wang, Fangzhao
;
Peng, Qinmu
;
You, Xinge
;
Wang, Shuo
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/04/27
Robustness
Laplace equations
Technological innovation
Learning systems
Data models
Gaussian noise
Convex functions
Block-diagonal representation learning
cross-view classification
low-rank representation
multiview learning
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:
Ding, Xinmiao
;
Li, Bing
;
Li, Yangxi
;
Guo, Wen
;
Liu, Yao
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/04/27
Feature extraction
Prototypes
Visualization
Support vector machines
Machine learning
Streaming media
Spectrogram
Representative prototype selection
objectionable video recognition
deep learning
Robust Kernelized Multiview Self-Representation for Subspace Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 868-881
作者:
Xie, Yuan
;
Liu, Jinyan
;
Qu, Yanyun
;
Tao, Dacheng
;
Zhang, Wensheng
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/03/29
Tensile stress
Kernel
Manifolds
Optimization
Learning systems
Correlation
Data models
Kernelization
multiview subspace learning
nonlinear subspace clustering
tensor singular value decomposition (t-SVD)
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