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Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
Authors:  Zhou, Hai-Feng;  Han, Yu-Qi;  Lu, Jian;  Wei, Jing-Wei;  Guo, Jin-He;  Zhu, Hai-Dong;  Huang, Ming;  Ji, Jian-Song;  Lv, Wei-Fu;  Chen, Li;  Zhu, Guang-Yu;  Jin, Zhi-Cheng;  Tian, Jie;  Teng, Gao-Jun
Favorite  |  View/Download:8/0  |  Submit date:2019/12/16
radiomics  pancreatic cancer  malignant biliary obstruction  irradiation stent  survival  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
Authors:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
Favorite  |  View/Download:20/0  |  Submit date:2019/09/30
Visual tracking  deep learning  sampling and regression  
P2T: Part-to-Target Tracking via Deep Regression Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 6, 页码: 3074-3086
Authors:  Gao, Junyu;  Zhang, Tianzhu;  Yang, Xiaoshan;  Xu, Changsheng
View  |  Adobe PDF(5803Kb)  |  Favorite  |  View/Download:127/54  |  Submit date:2018/10/10
Visual Tracking  Deep Learning  Part-based Tracker  
深度相对度量学习的视觉跟踪 期刊论文
中国科学, 2018, 卷号: 48, 期号: 1, 页码: 60-78
Authors:  Guo, Wen;  You, Sisi;  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
View  |  Adobe PDF(1711Kb)  |  Favorite  |  View/Download:241/98  |  Submit date:2018/02/07
Visual Tracking  Convolutional Neural Network (Cnn)  Relative Attribute  Metric Learning  
Deep Relative Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 4, 页码: 1845-1858
Authors:  Gao, Junyu;  Zhang, Tianzhu;  Yang, Xiaoshan;  Xu, Changsheng;  Changsheng Xu
View  |  Adobe PDF(5252Kb)  |  Favorite  |  View/Download:235/110  |  Submit date:2017/02/23
Visual Tracking  Deep Learning  Relative Model  
A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks 会议论文
, Mountain View, CA, USA, 2017-10-23
Authors:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
View  |  Adobe PDF(2043Kb)  |  Favorite  |  View/Download:255/154  |  Submit date:2017/12/29
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 1, 页码: 66-82
Authors:  Hu, Weiming;  Gao, Jun;  Wang, Yanguo;  Wu, Ou;  Maybank, Stephen;  Weiming Hu
View  |  Adobe PDF(2100Kb)  |  Favorite  |  View/Download:92/30  |  Submit date:2015/08/12
Dynamic Distributed Detection  Network Intrusions  Online Adaboost Learning  Parameterized Model  
一种基于离群数据挖掘的图像显著性检测方法 专利
专利类型: 发明, 专利号: CN201210569877.3, 申请日期: 2012-12-25, 公开日期: 2013-04-24
Inventors:  胡卫明;  高君
Favorite  |  View/Download:88/0  |  Submit date:2015/09/22
离群模式挖掘的算法研究及应用 学位论文
, 中国科学院自动化研究所: 中国科学院研究生院, 2012
Authors:  高君
Adobe PDF(10175Kb)  |  Favorite  |  View/Download:67/0  |  Submit date:2015/09/02
离群模式挖掘  分布式入侵检测  图像显著性检测  Outlier Detection  Distributed Intrusion Detection  Image Saliency Detection  
Unsupervised Ensemble Learning for Mining Top-n Outliers 会议论文
Pacific Asia Knowledge Discovery and Data Mining, china, 2012
Authors:  Gao, Jun;  Hu, Weiming;  zhongfei zhang;  Wu, Ou
View  |  Adobe PDF(780Kb)  |  Favorite  |  View/Download:53/7  |  Submit date:2016/09/18
Unsupervised Ensemble Learning