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Coarse-to-Fine Learning for Single-Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 5, 页码: 1109-1122
作者:  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie;  Zhang, KB (reprint author), Hubei Engn Univ, Sch Comp & Informat Sci, Xiaogan 432000, Hubei, Peoples R China.
Adobe PDF(3110Kb)  |  收藏  |  浏览/下载：335/2  |  提交时间：2017/06/14
Correlative Neighbor Regression (Cnr)  Nonlocal Means  Regularization Term  Self-similarity  Single-image Super-resolution (Sr)  
Large Sparse Cone Non-negative Matrix Factorization for Image Annotation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2017, 卷号: 8, 期号: 3
作者:  Tao, Dapeng;  Tao, Dacheng;  Li, Xuelong;  Gao, Xinbo
Adobe PDF(711Kb)  |  收藏  |  浏览/下载：263/3  |  提交时间：2017/05/17
Non-negative Matrix Factorization  Image Annotation  Nesterovs Optimal Gradient  Sparseness Constraint  
Robust Sparse Coding for Mobile Image Labeling on the Cloud 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 1, 页码: 62-72
作者:  Tao, Dapeng;  Cheng, Jun;  Gao, Xinbo;  Li, Xuelong;  Deng, Cheng
Adobe PDF(1382Kb)  |  收藏  |  浏览/下载：228/0  |  提交时间：2017/04/05
Cloud Computing  Correntropy  Mobile Image  Labeling  Sparse Coding  
Multiple Representations-Based Face Sketch-Photo Synthesis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 11, 页码: 2201-2215
作者:  Peng, Chunlei;  Gao, Xinbo;  Wang, Nannan;  Tao, Dacheng;  Li, Xuelong;  Li, Jie
Adobe PDF(4267Kb)  |  收藏  |  浏览/下载：201/1  |  提交时间：2017/01/03
Face Recognition  Face Sketch-photo Synthesis  Forensic Sketch  Multiple Representations  
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