中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：376/121  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：768/290  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
Special Issue of BICS 2016 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 282-283
作者:  Liu, Cheng-Lin;  Hussain, Amir;  Luo, Bin;  Tan, Kay Chen;  Zeng, Yi;  Zhang, Zhaoxiang
收藏  |  浏览/下载：202/0  |  提交时间：2018/08/08
Bics  Brain-inspired  Artificial Intelligence  Deep Neural Networks  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
浏览  |  Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：423/165  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Learning stratified 3D reconstruction 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 2, 页码: 1-16
作者:  Dong, Qiulei;  Shu, Mao;  Cui, Hainan;  Xu, Huarong;  Hu, Zhanyi
浏览  |  Adobe PDF(3578Kb)  |  收藏  |  浏览/下载：243/71  |  提交时间：2018/10/10
Stratified 3d Reconstruction  Learning  Deep Neural Networks  Outlier Detector  Spatial Vision  
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2018, 卷号: 43, 期号: -, 页码: 98-111
作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo;  Fan, Yong
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：398/120  |  提交时间：2018/01/04
Brain Tumor Segmentation  Fully Convolutional Neural Networks  Conditional Random Fields  Deep Learning  
Recent advances in efficient computation of deep convolutional neural networks 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2018, 卷号: 19, 期号: 1, 页码: 64-77
作者:  Cheng, Jian;  Wang, Pei-song;  Li, Gang;  Hu, Qing-hao;  Lu, Han-qing
浏览  |  Adobe PDF(582Kb)  |  收藏  |  浏览/下载：386/95  |  提交时间：2018/05/05
Deep Neural Networks  Acceleration  Compression  Hardware Accelerator  
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 61677-61685
作者:  Carneiro, Tiago;  Medeiros Da Nobrega, Raul Victor;  Nepomuceno, Thiago;  Bian, Gui-Bin;  De Albuquerque, Victor Hugo C.;  Reboucas Filho, Pedro Pedrosa
收藏  |  浏览/下载：273/0  |  提交时间：2019/01/08
Deep learning  Colab  convolutional neural networks  Google colaboratory  GPU computing  Deep learning  Colab  convolutional neural networks  Google colaboratory  GPU computing  
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655
作者:  Zhen-Jie Yao;  Jie Bi;  Yi-Xin Chen
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载：101/27  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 10-24
作者:  Chen, C. L. Philip;  Liu, Zhulin
收藏  |  浏览/下载：182/0  |  提交时间：2019/12/16
Big data  big data modeling  broad learning system (BLS)  deep learning  incremental learning  random vector functional-link neural networks (RVFLNN)  single layer feedforward neural networks (SLFN)  singular value decomposition (SVD)