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Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2665-2679
作者:  Wang, Yunbo;  Liang, Jian;  Cao, Dong;  Sun, Zhenan
Adobe PDF(1445Kb)  |  收藏  |  浏览/下载：469/102  |  提交时间：2019/04/23
Image retrieval  deep hashing  similarity-preserving  local structures  Hamming-isometric  
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 6, 页码: 2620-2634
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Huang, Xiayuan
Adobe PDF(5355Kb)  |  收藏  |  浏览/下载：474/173  |  提交时间：2016/10/20
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Nonlocal Total Variation (Nltv)  Complex Wishart Distribution  Conjugate Function  Variational Model  
Spectral Unmixing via Data-Guided Sparsity 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 12, 页码: 5412-5427
作者:  Zhu, Feiyun;  Wang, Ying;  Fan, Bin;  Xiang, Shiming;  Meng, Gaofeng;  Pan, Chunhong
浏览  |  Adobe PDF(6232Kb)  |  收藏  |  浏览/下载：357/102  |  提交时间：2015/08/12
Data-guided Sparse (Dgs)  Data-guided Map (dgMap)  Nonnegative Matrix Factorization (Nmf)  Dgs-nmf  Mixed Pixel  Hyperspectral Unmixing (Hu)  
Modeling Geometric-Temporal Context With Directional Pyramid Co-Occurrence for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 2, 页码: 658-672
作者:  Yuan, Chunfeng;  Li, Xi;  Hu, Weiming;  Ling, Haibin;  Maybank, Stephen J.
Adobe PDF(3487Kb)  |  收藏  |  浏览/下载：317/66  |  提交时间：2015/08/12
Covariance Cuboid Descriptor  Log-euclidean Riemannian Metric  Spatio-temporal Directional Pyramid Co-occurrence Matrix  Kernel Machine  Action Recognition  
Robust Principal Component Analysis Based on Maximum Correntropy Criterion 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 卷号: 20, 期号: 6, 页码: 1485-1494
作者:  Ran He(赫然);  Baogang Hu;  Weishi Zheng;  Xiangwei Kong;  He, Ran
浏览  |  Adobe PDF(1139Kb)  |  收藏  |  浏览/下载：400/184  |  提交时间：2015/08/12
Correntropy  Half-quadratic Optimization  Principal Component Analysis (Pca)  Robust