中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：174/0  |  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  
Approximate Low-Rank Projection Learning for Feature Extraction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5228-5241
作者:  Fang, Xiaozhao;  Han, Na;  Wu, Jigang;  Xu, Yong;  Yang, Jian;  Wong, Wai Keung;  Li, Xuelong
Adobe PDF(2693Kb)  |  收藏  |  浏览/下载：220/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1508-1519
作者:  Nie, Liqiang;  Zhang, Luming;  Meng, Lei;  Song, Xuemeng;  Chang, Xiaojun;  Li, Xuelong;  Nie, LQ (reprint author), Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China.
Adobe PDF(1960Kb)  |  收藏  |  浏览/下载：193/0  |  提交时间：2017/07/17
Disease Progression Modeling  Future Health Prediction  Multisource Analysis  Source Consistency  Temporal Regularization  
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 1, 页码: 32-46
作者:  Yang, Xi;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Han, Bing;  Li, Jie;  Yang, X
Adobe PDF(5085Kb)  |  收藏  |  浏览/下载：433/2  |  提交时间：2016/01/22
Auroral Substorm Detection  Sequence Motion Analysis  Shape Constraint  Sparse And Low-rank  Decomposition (Sld)  
Transfer Learning for Visual Categorization: A Survey 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 5, 页码: 1019-1034
作者:  Shao, Ling;  Zhu, Fan;  Li, Xuelong
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：613/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization