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Tumor tissue classification based on micro-hyperspectral technology and deep learning 期刊论文
Biomedical Optics Express, 2019, 卷号: 10, 期号: 12, 页码: 6370-6389
作者:  Bingliang Hu;  Jian Du;  Zhoufeng Zhang;  Quan Wang
Adobe PDF(2615Kb)  |  收藏  |  浏览/下载：234/3  |  提交时间：2019/12/24
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：203/2  |  提交时间：2020/01/17
Action categorization  unsupervised learning  deep representations  
An efficient framework for unsupervised feature selection 期刊论文
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 194-207
作者:  Zhang, Han;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(2196Kb)  |  收藏  |  浏览/下载：263/4  |  提交时间：2019/10/18
Efficient unsupervised feature selection  Bipartite graph  Discrete indicator matrix  Uncorrelated regression model  
Indoor PM2.5 Profiling with a Novel Side-Scatter Indoor Lidar 期刊论文
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2019, 卷号: 6, 期号: 10, 页码: 612-616
作者:  Qiu, Youwei;  Tao, Shu;  Yun, Xiao;  Du, Wei;  Shen, Guofeng;  Lu, Cengxi;  Yu, Xinyuan;  Cheng, Hefa;  Ma, Jianmin;  Xue, Bin;  Tao, Jinyou;  Dai, Junhu;  Ge, Quansheng
Adobe PDF(1356Kb)  |  收藏  |  浏览/下载：212/1  |  提交时间：2019/10/28
Orthogonal sparse fractal coding algorithm based on image texture feature 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1872-1879
作者:  Cao, Jian;  Zhang, Aihua;  Shi, Lei
Adobe PDF(3006Kb)  |  收藏  |  浏览/下载：249/1  |  提交时间：2019/10/11
image coding  feature extraction  fractals  data compression  image texture  image reconstruction  orthogonal codes  image colour analysis  transforms  decomposition  matrix algebra  orthogonal sparse grey level  sparse decomposition  decoding speed  orthogonal sparse fractal coding algorithm  image reconstruction quality  image texture feature extraction  fractal image compression coding algorithm  grey description feature extraction  orthogonal sparse grey level transform  
Single Space Object Image Denoising and Super-Resolution Reconstructing Using Deep Convolutional Networks 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16
作者:  Feng, Xubin;  Su, Xiuqin;  Shen, Junge;  Jin, Humin
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：241/0  |  提交时间：2019/09/27
space object  cosmic-ray  denoising  super-resolution  CNN  residual learning  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：347/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
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：258/0  |  提交时间：2019/07/17
Cauchy loss function (CLF)  grouping effect  noise suppression  similarity matrix  subspace clustering  
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4810-4822
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：211/0  |  提交时间：2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
An analytical model to predict the sizes of modified layer in glass with femtosecond Bessel beam 期刊论文
Optik, 2019, 卷号: 185, 页码: 232-241
作者:  Liao, Kai;  Wang, Wenjun;  Mei, Xuesong;  Cui, Jianlei;  Li, Ming;  Li, Xun
Adobe PDF(1482Kb)  |  收藏  |  浏览/下载：166/3  |  提交时间：2019/04/28
Femtosecond bessel beam  Sizes of modified layer  Analytical model  Regression analysis  Range analysis