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Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：220/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
Density saliency for clustered building detection and population capacity estimation 期刊论文
Neurocomputing, 2021, 卷号: 458, 页码: 127-140
作者:  Liu, Kang;  Huang, Ju;  Xu, Mingliang;  Perc, Matja;  Li, Xuelong
Adobe PDF(5204Kb)  |  收藏  |  浏览/下载：208/0  |  提交时间：2021/09/06
Remote sensing  Clustered Building Detection (CBD)  Saliency heatmap  Deep Neural Network (DNN)  Population Capacity Estimation (PCE)  
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：179/0  |  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  
Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：189/1  |  提交时间：2020/10/23
Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction  
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：251/0  |  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  
Unsupervised learning of human action categories in still images with deep representations 期刊论文
ACM Transactions on Multimedia Computing, Communications and Applications, 2019, 卷号: 15, 期号: 4
作者:  Zheng, Yunpeng;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(23484Kb)  |  收藏  |  浏览/下载：204/2  |  提交时间：2020/01/17
Action categorization  unsupervised learning  deep representations  
Spatiotemporal interest point detector exploiting appearance and motion-variation information 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 3
作者:  Li, Yanshan;  Li, Qingteng;  Huang, Qinghua;  Xia, Rongjie;  Li, Xuelong
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：174/0  |  提交时间：2019/07/19
spatiotemporal interest point detector  spatiotemporal interest point  geometric algebra  video  
Query-aware sparse coding for web multi-video summarization 期刊论文
Information Sciences, 2019, 卷号: 478, 页码: 152-166
作者:  Ji, Zhong;  Ma, Yaru;  Pang, Yanwei;  Li, Xuelong
Adobe PDF(3035Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2018/12/20
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization 会议论文
Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, United states, 2018-06-18
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(803Kb)  |  收藏  |  浏览/下载：193/2  |  提交时间：2019/04/16
Weakly Supervised Object Detection via Object-Specific Pixel Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 5960-5970
作者:  Shen, Yunhang;  Ji, Rongrong;  Wang, Changhu;  Li, Xi;  Li, Xuelong
Adobe PDF(4529Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised