OPT OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
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:251/1  |  提交时间:2018/05/14
Cluster Ensemble  Discriminative Constraint  Manifold Structure  Set Covering  
Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 12, 页码: 3176-3186
作者:  Zhao, Lin;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(3966Kb)  |  收藏  |  浏览/下载:204/2  |  提交时间:2015/12/25
Pictorial Structure (Ps)  Pose Estimation  Pose Tracking  Visual Tracking  
Tracking Human Pose Using Max-Margin Markov Models 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5274-5287
作者:  Zhao, Lin;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(4300Kb)  |  收藏  |  浏览/下载:165/3  |  提交时间:2015/11/10
Pose Tracking  Pose Estimation  Max-margin  Articulated Shapes  
Nonnegative Multiresolution Representation-Based Texture Image Classification 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2015, 卷号: 7, 期号: 1
作者:  Dong, Yongsheng;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(1711Kb)  |  收藏  |  浏览/下载:241/5  |  提交时间:2015/11/25
Theory  Experimentation  Nonnegative Matrix Factorization  Texture Classification  Histogram  Manifold Regularization  Hessian Regularization  
Learning to Rank for Blind Image Quality Assessment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 10, 页码: 2275-2290
作者:  Gao, Fei;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong
Adobe PDF(4556Kb)  |  收藏  |  浏览/下载:301/3  |  提交时间:2015/11/13
Image Quality Assessment (Iqa)  Learning Preferences  Learning To Rank  Multiple Kernel Learning (Mkl)  Universal Blind Iqa (bIqa)  
Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 12, 页码: 2013-2026
作者:  Gao, Xinbo;  Gao, Fei;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(2839Kb)  |  收藏  |  浏览/下载:514/1  |  提交时间:2015/06/09
Exponential Decay Characteristic (Edc)  Image Quality Assessment (Iqa)  Multiple Kernel Learning (Mkl)  Natural Scene Statistics (Nss)