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Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching 会议论文
, 中国，北京, 2018-8-20
作者:  Zhou, Zongwei;  Xing, Junliang;  Zhang, Mengdan;  Hu, Weiming
Adobe PDF(1971Kb)  |  收藏  |  浏览/下载：180/43  |  提交时间：2021/06/23
MRF-Based Disparity Upsampling Using Stereo Confidence Evaluations 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2018, 卷号: 25, 期号: 4, 页码: 561-565
作者:  Meng, Xiangbing;  Zhang, Zhaoxing;  Geng, Zheng;  Zhang, Mei;  Zhang M (张梅)
收藏  |  浏览/下载：87/0  |  提交时间：2020/10/27
Confidence Evaluation  Disparity Upsampling  Markov Random Field (Mrf)  Noise  Three-dimensional (3-d) Reconstruction  
Deep Learning Based Speech Separation via NMF-style Reconstructions 期刊论文
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2018, 卷号: 26, 期号: 11, 页码: 2043-2055
作者:  Shuai Nie;  Shan Liang;  Wenju Liu;  Xueliang Zhang;  Jianhua Tao
浏览  |  Adobe PDF(2922Kb)  |  收藏  |  浏览/下载：205/79  |  提交时间：2020/10/22
Speech separation  deep neural network (DNN)  nonnegative matrix factorization (NMF)  spectro-temporal structures  
Empirical ExploringWord-Character Relationship for Chinese Sentence Representation 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2018, 卷号: 3, 期号: 17, 页码: 1-15
作者:  shaonan wang;  jiajun zhang;  chengqing zong
浏览  |  Adobe PDF(2098Kb)  |  收藏  |  浏览/下载：84/35  |  提交时间：2020/10/13
Sentence representation  composition model  
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 期号: 27(6), 页码: 2966-2979
作者:  Huang, Xiayuan;  Qiao, Hong;  Bo, Zhang;  Nie, Xiangli
Adobe PDF(6084Kb)  |  收藏  |  浏览/下载：135/58  |  提交时间：2020/10/13
land cover classification  dimensionality reduction  tensor local discriminant analysis  PolSAR image  
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载：209/68  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: -, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
Adobe PDF(827Kb)  |  收藏  |  浏览/下载：368/97  |  提交时间：2019/12/16
Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
Distributed event-triggered synchronization for robotic teleoperation systems with randomly occurring gain fluctuations 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 2, 页码: 1729881418770881
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(636Kb)  |  收藏  |  浏览/下载：273/51  |  提交时间：2019/12/16
Asynchronous event-triggered scheme  event-triggered synchronization  robotic teleoperation systems  randomly occurring gain fluctuations  Lyapunov-Krasovskii method  
Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
作者:  Zhang, Shuai;  Ma, Xibo;  Wang, Yi;  Wu, Meng;  Meng, Hui;  Chai, Wei;  Wang, Xiaojie;  Wei, Shoushui;  Tian, Jie
浏览  |  Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：271/68  |  提交时间：2019/12/16
Fluorescence molecular tomography  inverse problem  sparsity adaptive correntropy matching pursuit  robust reconstruction  
Image Captioning with Word Gate and Adaptive Self-Critical Learning 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 6, 页码: 13
作者:  Zhu, Xinxin;  Li, Lixiang;  Liu, Jing;  Guo, Longteng;  Fang, Zhiwei;  Peng, Haipeng;  Niu, Xinxin
Adobe PDF(3312Kb)  |  收藏  |  浏览/下载：372/55  |  提交时间：2019/12/16
image caption  image understanding  deep learning  computer vision