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Robust Subspace Clustering by Cauchy Loss Function 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2067-2078
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载:252/0  |  提交时间:2019/07/17
Cauchy loss function (CLF)  grouping effect  noise suppression  similarity matrix  subspace clustering  
A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1558–1569
作者:  Wang, Bin;  Yuan, Xiuying;  Gao, Xinbo;  Li, Xuelong;  Tao, Dacheng
Adobe PDF(3013Kb)  |  收藏  |  浏览/下载:256/0  |  提交时间:2019/04/12
Active contour model (ACMs)  image segmentation  kernelization  level set method (LSM)  shape context  shape prior  topology-preserving  
Patch Alignment Manifold Matting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 7, 页码: 3214-3226
作者:  Li, Xuelong;  Liu, Kang;  Dong, Yongsheng;  Tao, Dacheng;  Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2558Kb)  |  收藏  |  浏览/下载:284/0  |  提交时间:2018/07/13
Dimension Reduction  Image Matting  Isomap Matting  Manifold Learning  Patch Alignment  
SCE: A Manifold Regularized Set-Covering Method for Data Partitioning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1760-1773
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng;  Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3328Kb)  |  收藏  |  浏览/下载:237/1  |  提交时间:2018/05/14
Cluster Ensemble  Discriminative Constraint  Manifold Structure  Set Covering  
SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 9, 页码: 4091-4102
作者:  Hu, Yanting;  Wang, Nannan;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong
Adobe PDF(4639Kb)  |  收藏  |  浏览/下载:314/1  |  提交时间:2016/10/13
Cascaded Linear Regression  Example Learning Based  Image Super-resolution  K-means  
Deep semantic understanding of high resolution remote sensing image 会议论文
IEEE CITS 2016 ; 2016 International Conference on Computer, Information and Telecommunication Systems, Kunming, China, 2016-07-06
作者:  Qu, Bo;  Li, Xuelong;  Tao, Dacheng;  Lu, Xiaoqiang
Adobe PDF(4266Kb)  |  收藏  |  浏览/下载:360/3  |  提交时间:2016/10/09
Image Reconstruction  Semantics  
Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 5, 页码: 2146-2154
作者:  Li, Zhifeng;  Gong, Dihong;  Li, Xuelong;  Tao, Dacheng
Adobe PDF(1960Kb)  |  收藏  |  浏览/下载:209/1  |  提交时间:2016/08/18
Face Recognition  Aging Faces  Feature Descriptor  
Mutual Component Analysis for Heterogeneous Face Recognition 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2016, 卷号: 7, 期号: 3
作者:  Li, Zhifeng;  Gong, Dihong;  Li, Qiang;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(886Kb)  |  收藏  |  浏览/下载:602/3  |  提交时间:2016/04/08
Algorithms  Performance  Face Recognition  Heterogeneous Face Recognition  Mutual Component Analysis (Mca)  
Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 2, 页码: 907-919
作者:  Liu, Xianglong;  Deng, Cheng;  Lang, Bo;  Tao, Dacheng;  Li, Xuelong;  Deng, C
Adobe PDF(3400Kb)  |  收藏  |  浏览/下载:229/1  |  提交时间:2016/02/19
Locality Sensitive Hashing  Bit Selection  Complementary Hash Tables  Query Adaptive  Nearest Neighbor Search  
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:430/2  |  提交时间:2016/01/22
Auroral Substorm Detection  Sequence Motion Analysis  Shape Constraint  Sparse And Low-rank  Decomposition (Sld)