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科研机构
西安交通大学 [21]
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期刊论文 [17]
会议论文 [4]
发表日期
2019 [2]
2018 [13]
2017 [1]
2016 [4]
2010 [1]
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专题:西安交通大学
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Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 页码: 683-694
作者:
Shi, Weiwei
;
Gong, Yihong
;
Tao, Xiaoyu
;
Cheng, De
;
Zheng, Nanning
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
Benchmark testing
Classification accuracy
Classification framework
Deep convolutional neural networks
Experimental evaluation
Fine grained
Large margins
Within-class variances
Large energy storage properties of lead-free (1-x)(0.72Bi(0.5)Na(0.5)TiO(3)-0.28SrTiO(3))-xBiAlO(3) ceramics at broad temperature range
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 784, 页码: 788-793
作者:
Shi, Peng
;
Zhu, Linguang
;
Gao, Weiwei
;
Yu, Zhonghai
;
Lou, Xiaojie
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2019/11/19
Energy storage
Ferroelectric
Lead-free ceramics
Normalized Non-Negative Sparse Encoder for Fast Image Representation
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2018
作者:
Zhang, Shizhou
;
Wang, Jinjun
;
Shi, Weiwei
;
Gong, Yihong
;
Xia, Yong
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/19
Auto-encoder
Computational modeling
Encoding
Feature extraction
Image coding
Image reconstruction
Image representation
Neural networks
Non-negative constraint
Shift-invariant constraint
Sparse coding
Training
Object detection with class aware region proposal network and focused attention objective
期刊论文
Pattern Recognition Letters, 2018
作者:
Tao, Xiaoyu
;
Gong, Yihong
;
Shi, Weiwei
;
Cheng, De
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/19
Background features
Background region
Convolutional neural network
Detection performance
Experimental evaluation
False positive
Region proposals
State-of-the-art methods
Person re-identification by the symmetric triplet and identification loss function (vol 77, pg 3533, 2018)
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 页码: 3551-+
作者:
Cheng, De
;
Gong, Yihong
;
Shi, Weiwei
;
Zhang, Shizhou
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/19
Transductive Semi-Supervised Deep Learning Using Min-Max Features
会议论文
作者:
Shi, Weiwei
;
Gong, Yihong
;
Ding, Chris
;
Ma, Zhiheng
;
Tao, Xiaoyu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
Classification accuracy
Confidence levels
Deep convolutional neural networks
Feature descriptors
Min-max
Semi-supervised
Semi-supervised learning (SSL)
Transductive learning
A dependable time series analytic framework for cyber-physical systems of IoT-based smart grid
期刊论文
ACM Transactions on Cyber-Physical Systems, 2018, 卷号: 3
作者:
Wang, Chang
;
Zhu, Yongxin
;
Shi, Weiwei
;
Chang, Victor
;
Vijayakumar, P.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Cyber-Physical System (CPS)
Cyber-physicalsystems
Dependable time series analytics
Matrix factorizations
Missing values
Smart grid
Solid supports
Target database
Improving CNN Performance Accuracies With Min-Max Objective
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 2872-2885
作者:
Shi, Weiwei
;
Gong, Yihong
;
Tao, Xiaoyu
;
Wang, Jinjun
;
Zheng, Nanning
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/11/26
image classification
Convolutional neural network (CNN)
incremental minibatch training procedure
face verification
min-max objective
Cross-scenario transfer metric learning for person re-identification
期刊论文
Pattern Recognition Letters, 2018
作者:
Cheng, De
;
Gong, Yihong
;
Li, Zhihui
;
Zhang, Dingwen
;
Shi, Weiwei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Baseline methods
Cross-scenario
Metric learning
Person re identifications
Person re-id
Similarity measurements
Transfer learning
Transfer learning methods
Enteral nutrition feeding in Chinese intensive care units: a cross-sectional study involving 116 hospitals
期刊论文
CRITICAL CARE, 2018, 卷号: 22
作者:
Xing, Juan
;
Zhang, Zhongheng
;
Ke, Lu
;
Zhou, Jing
;
Qin, Bingyu
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/11/26
Intensive care units
Enteral feeding
Cross-sectional study
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