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Joint Sparse Locality-Aware Regression for Robust Discriminative Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Hu, Liangchen;  Zhang, Wensheng;  Dai, Zhenlei
收藏  |  浏览/下载：172/0  |  提交时间：2022/02/16
Feature selection and extraction  joint L-2,L-1-norms sparsity  locality-aware graph learning  marginal representation learning  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：391/73  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：188/0  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Efficient Pairwise 3-D Registration of Urban Scenes via Hybrid Structural Descriptors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 17
作者:  Zhang, Long;  Guo, Jianwei;  Cheng, Zhanglin;  Xiao, Jun;  Zhang, Xiaopeng
收藏  |  浏览/下载：233/0  |  提交时间：2022/01/27
Three-dimensional displays  Shape  Feature extraction  Semantics  Robustness  Cloud computing  Virtual reality  Descriptor  hybrid structure  point cloud  registration  urban scene  
Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：195/0  |  提交时间：2022/01/27
Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling  
Computational Experiments for Complex Social System Part II: The Evaluation of Computational Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 13
作者:  Lu, Min;  Chen, Shizhan;  Xue, Xiao;  Wang, Xiao;  Zhang, Yufang;  Zhang, Yifang;  Wang, Fei-Yue
收藏  |  浏览/下载：204/0  |  提交时间：2022/01/27
Capability maturity model  Computational modeling  Biological system modeling  Epidemics  Analytical models  Complex systems  COVID-19  Agent-based modeling  computational experiments  computational models  COVID-19  model evaluation  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：208/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest  
Multi-objective evolutionary 3D face reconstruction based on improved encoder-decoder network 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 581, 页码: 233-248
作者:  Cai, Xingjuan;  Cao, Yihao;  Ren, Yeqing;  Cui, Zhihua;  Zhang, Wensheng
收藏  |  浏览/下载：182/0  |  提交时间：2021/12/28
3D face reconstruction  Multi-objective evolutionary  Regularization algorithm  Computer vision  
Learning to Model Relationships for Zero-Shot Video Classification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 10, 页码: 3476-3491
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载：254/0  |  提交时间：2021/11/04
Zero-shot video classification  graph neural networks  zero-shot learning  deep attention model  
Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 9
作者:  Zhang, Yu;  Liang, Kewei;  He, Jiaqi;  Ma, He;  Chen, Hongyan;  Zheng, Fei;  Zhang, Lingling;  Wang, Xinsheng;  Ma, Xibo;  Chen, Xuzhu
收藏  |  浏览/下载：236/0  |  提交时间：2021/11/03
glioblastoma  lymphoma  tumefactive demyelination  differential diagnosis  deep learning