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Quaternion Grassmann average network for learning representation of histopathological image
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 89, 页码: 67-76
作者:
Shi, Jun[1]
;
Zheng, Xiao[2]
;
Wu, Jinjie[3]
;
Gong, Bangming[4]
;
Zhang, Qi[5]
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/04/22
Principal component analysis network (PCANet)
Quaternion algebra
Quaternion Grassmann averages network (QGANet)
Color histopathological image
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
Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology
期刊论文
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2018, 卷号: 28
作者:
Li, Xin
;
Bai, Yanqin
;
Peng, Yaxin
;
Du, Shaoyi
;
Ying, Shihui
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/11/26
semi-supervised learning
nearest neighbor
multiple kernel
intrinsic algorithm
Distance metric learning
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 卷号: 22, 页码: 173-183
作者:
Shi, Jun[1]
;
Zheng, Xiao[2]
;
Li, Yan[3]
;
Zhang, Qi[4]
;
Ying, Shihui[5]
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/04/24
Alzheimer's disease
deep learning
deep polynomial networks
multimodal stacked deep polynomial networks
multimodal neuroimaging
Super-resolution reconstruction of MR image with a novel residual learning network algorithm
期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2018, 卷号: 63, 页码: 085011
作者:
Shi, Jun[1]
;
Liu, Qingping[2]
;
Wang, Chaofeng[3]
;
Zhang, Qi[4]
;
Ying, Shihui[5]
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/04/24
magnetic resonance imaging
super-resolution
global residual learning
local residual learning
convolutional neural networks
Global nonlinear metric learning by gluing local linear metrics
会议论文
2018 SIAM International Conference on Data Mining, SDM 2018, 2018-05-03
作者:
Peng, Yaxin[1]
;
Hu, Lingfang[2]
;
Ying, Shihui[3]
;
Shen, Chaomin[4]
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/04/22
MR Image Super-Resolution Via Wide Residual Networks With Fixed Skip Connection
期刊论文
IEEE Journal of Biomedical and Health Informatics, 2018
作者:
Shi, Jun[1]
;
Li, Zheng[2]
;
Ying, Shihui[3]
;
Wang, Chaofeng[4]
;
Liu, Qingping[5]
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/04/22
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine
期刊论文
NEUROCOMPUTING, 2018, 卷号: 320, 页码: 141-149
作者:
Gong, Bangming[1]
;
Shi, Jun[2]
;
Ying, Shihui[3]
;
Dai, Yakang[4]
;
Zhang, Qi[5]
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/04/22
Parkinson's disease
Deep neural network
Deep neural mapping large margin distribution machine
Kernel mapping
Transcranial sonography
Magnetic resonance imaging
A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine
期刊论文
NEUROCOMPUTING, 2018, 卷号: 306, 页码: 37-50
作者:
Zhan, Yaru[1]
;
Bai, Yanqin[2]
;
Zhang, Wei[3]
;
Ying, Shihui[4]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/22
Semi-supervised support vector machine
Sparsity
Quadratic kernel-free least square
Smoothing
Consensus model
P-ADMM
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[1]
;
Wen, Zhijie[2]
;
Shi, Jun[3]
;
Peng, Yaxin[4]
;
Peng, Jigen[5]
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/04/22
Classification
distance metric learning
intrinsic algorithm
matrix manifold
semisupervised learning
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