OPT OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

已选(0)清除 条数/页:   排序方式:
TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 4, 页码: 3629-3637
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载:191/0  |  提交时间:2021/01/07
Recurrent neural networks  Training  Task analysis  Tensors  Matrix decomposition  Standards  Feature extraction  Hierarchical structure  tensor-train embedding layer  video summarization  
Property-Constrained Dual Learning for Video Summarization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 3989-4000
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(2537Kb)  |  收藏  |  浏览/下载:169/0  |  提交时间:2020/11/02
Generators  Task analysis  Recurrent neural networks  Machine learning  Training  Semantics  Learning systems  Dual learning  property model  recurrent neural network (RNN)  video summarization  
Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 9, 页码: 5185-5197
作者:  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang;  Lu, XQ
Adobe PDF(2869Kb)  |  收藏  |  浏览/下载:237/2  |  提交时间:2017/09/20
Band Selection  Determinantal Point Process (Dpp)  Dimensionality Reduction (Dr)  Multiple Laplacian Eigenmaps (Mles)  
高光谱影像质量改善及降维研究 学位论文
, 北京: 中国科学院研究生院, 2017
作者:  郑向涛
Adobe PDF(4215Kb)  |  收藏  |  浏览/下载:233/3  |  提交时间:2017/06/05
Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 1, 页码: 51-64
作者:  Yuan, Yuan;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Yuan, Y (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3800Kb)  |  收藏  |  浏览/下载:281/2  |  提交时间:2017/07/06
Hyperspectral Band Selection  Multiple Graphs  Determinantal Point Process  Hyperspectral Image Classification  Anomaly Detection  Target Detection