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浏览/检索结果: 共108条，第1-10条 帮助 限定条件 专题：湖南大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4309-4321 作者:  Yuanchao Su;  Jun Li;  Antonio Plaza;  Andrea Marinoni;  Paolo Gamba 收藏  |  浏览/下载：50/0  |  提交时间：2019/12/13 Hyperspectral imaging  Estimation  Computers  Training  Noise reduction  Deep autoencoder network (DAEN)  deep learning  endmember identification  hyperspectral unmixing  variational autoencoder (VAE)   Multi-view deep unsupervised transfer leaning via joint auto-encoder coupled with dictionary learning 期刊论文 Intelligent Data Analysis, 2019, 卷号: Vol.23 No.3, 页码: 555-571 作者:  Diasse, Abdoullahi;  Li, Zhiyong 收藏  |  浏览/下载：18/0  |  提交时间：2019/12/13 Transfer learning  multi-view  deep auto-encoder  dictionary learning   Multi-view deep unsupervised transfer leaning via joint auto-encoder coupled with dictionary learning. 期刊论文 Intelligent Data Analysis, 2019, 卷号: Vol.23 No.3, 页码: 555-571 作者:  Diasse, Abdoullahi;  Li, Zhiyong 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/13 deep auto-encoder  dictionary learning  multi-view  Transfer learning   A Novel Fuzzy-Based Convolutional Neural Network Method to Traffic Flow Prediction With Uncertain Traffic Accident Information 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 20708-20722 作者:  Jiyao An;  Li Fu;  Meng Hu;  Weihong Chen;  Jiawei Zhan 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/13 Accidents  Predictive  models  Deep  learning  Feature  extraction  Data  models  Convolutional  neural  networks  Market  research  Traffic  flow  prediction  traffic  accident  information  fuzzy  inference  system  (FIS)  convolutional  neural  network  (CNN)  fuzzy-based  convolutional  neural  network  (F-CNN)   A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings 期刊论文 Measurement, 2019 作者:  Meidi Sun;  Hui Wang;  Ping Liu;  Shoudao Huang;  Peng Fan 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/13 Fault diagnosis  Sparse stacked denoising autoencoder (SSDAE)  Transfer learning (TL)  Deep learning  Bearings   Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans 期刊论文 IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 卷号: Vol.41 No.1, 页码: 176-189 作者:  Florin-Cristian Ghesu;  Bogdan Georgescu;  Yefeng Zheng;  Sasa Grbic;  Andreas Maier 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/13 Machine  learning  Biomedical  imaging  Search  problems  Training  Three-dimensional  displays  Real-time  systems  Deep  learning  deep  reinforcement  learning  medical  image  analysis  multi-scale  scale-space  modeling  three-dimensional  (3D)  object  detection  real-time  detection  intelligent  localization   Joint residual pyramid for joint image super-resolution 期刊论文 Journal of Visual Communication and Image Representation, 2019, 卷号: Vol.58, 页码: 53-62 作者:  Yan Zheng;  Xiang Cao;  Yi Xiao;  Xianyi Zhu;  Jin Yuan 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/13 Deep  learning  Neural  convolutional  pyramid  Joint  super-resolution  Residual  block   A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.6, 页码: 3599-3618 作者:  Zhiqiang Gong;  Ping Zhong;  Yang Yu;  Weidong Hu;  Shutao Li 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/13 Hyperspectral imaging  Measurement  Feature extraction  Training  Convolution  Task analysis  Convolutional neural network (CNN)  deep metric learning  determinantal point process (DPP)  hyperspectral image  image classification  multiscale features   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. 期刊论文 IEEE Transactions on Parallel & Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Chen, Jianguo;  Li, Kenli;  Bilal, Kashif;  Zhou, Xu;  Li, Keqin 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/13 Acceleration  bi-layered parallel computing  Big data  Computational modeling  Computer architecture  convolutional neural networks  deep learning  distributed computing  Parallel processing  Task analysis  Training   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks 期刊论文 IEEE Transactions on Parallel and Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Jianguo Chen;  Kenli Li;  Kashif Bilal;  xu zhou;  Keqin Li 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/13 Training  Computer architecture  Computational modeling  Parallel processing  Task analysis  Distributed computing  Acceleration  Big data  bi-layered parallel computing  convolutional neural networks  deep learning  distributed computing