OPT OpenIR
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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:172/0  |  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  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载:224/0  |  提交时间:2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
Person Reidentification Based on Elastic Projections 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1314-1327
作者:  Li, Xuelong;  Liu, Lina;  Lu, Xiaoqiang;  Li, XL (reprint author), Chinese Acad Sci, Inst Opt & Precis Mech, Ctr OPTical IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2236Kb)  |  收藏  |  浏览/下载:252/2  |  提交时间:2018/04/11
Machine Learning  Person Reidentification  Representative And Discriminative  Video Surveillance  
Scene Recognition by Manifold Regularized Deep Learning Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 10, 页码: 2222-2233
作者:  Yuan, Y;  Mou, LC;  Lu, XQ
Adobe PDF(4686Kb)  |  收藏  |  浏览/下载:227/1  |  提交时间:2015/11/20
Sparse Coding from a Bayesian Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 6, 页码: 929-939
作者:  Lu, Xiaoqiang;  Wang, Yulong;  Yuan, Yuan
Adobe PDF(965Kb)  |  收藏  |  浏览/下载:168/1  |  提交时间:2015/06/05
Bayesian  Compressive Sensing (Cs)  Computer Vision  Maximum a Posteriori (Map)  Sparse Coding