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Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载：353/73  |  提交时间：2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng MENG;  Bin FAN;  Shiming Xiang;  Chunhong PAN
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：299/94  |  提交时间：2020/10/20
Distorted document image  Geometric rectification  Gated module  Deep learning  
Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 卷号: 14, 期号: 0, 页码: 51
作者:  Liang, Qian;  Zeng, Yi;  Xu, Bo
Adobe PDF(4971Kb)  |  收藏  |  浏览/下载：326/61  |  提交时间：2020/08/24
spiking neural network  sequential memory  episodic memory  spike-timing-dependent plasticity  time perception  musical learning  
DM-SLAM: Monocular SLAM in Dynamic Environments 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 16
作者:  Lu, Xiaoyun;  Wang, Hu;  Tang, Shuming;  Huang, Huimin;  Li, Chuang
浏览  |  Adobe PDF(3615Kb)  |  收藏  |  浏览/下载：329/66  |  提交时间：2020/08/21
static features extraction  dynamic environments  3D reconstruction  monocular SLAM  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：440/95  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning