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STDIN: Spatio-temporal distilled interpolation for electron microscope images 期刊论文
NEUROCOMPUTING, 2022, 卷号: 505, 页码: 188-202
作者:  Wang, Zejin;  Sun, Guodong;  Li, Guoqing;  Shen, Lijun;  Zhang, Lina;  Han, Hua
Adobe PDF(6579Kb)  |  收藏  |  浏览/下载：272/26  |  提交时间：2022/11/14
Spatio-temporal ensemble  Feedback distillation  Electron microscope interpolation  
FSD-10: A fine-grained classification dataset for figure skating 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 360-367
作者:  Liu, Shenglan;  Liu, Xiang;  Huang, Gao;  Qiao, Hong;  Hu, Lianyu;  Jiang, Dong;  Zhang, Aibin;  Liu, Yang;  Guo, Ge
收藏  |  浏览/下载：236/0  |  提交时间：2021/01/07
Action recognition  Figure Skating Dataset  Fine-grained sports content analysis  Keyframe based temporal segment network  
An incrementally cascaded broad learning framework to facial landmark tracking 期刊论文
NEUROCOMPUTING, 2020, 卷号: 410, 页码: 125-137
作者:  Liu, Caifeng;  Feng, Lin;  Guo, Shuai;  Wang, Huibing;  Liu, Shenglan;  Qiao, Hong
收藏  |  浏览/下载：217/0  |  提交时间：2021/01/07
Facial landmark tracking  Face alignment  Cascade regression  Incremental learning  
Multi-view laplacian least squares for human emotion recognition 期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 页码: 78-87
作者:  Guo, Shuai;  Feng, Lin;  Feng, Zhan-Bo;  Li, Yi-Hao;  Wang, Yang;  Liu, Sheng-Lan;  Qiao, Hong
收藏  |  浏览/下载：295/0  |  提交时间：2020/03/30
Multi-view learning  Laplacian least squares  Subspace learning  Human emotion recognition  
Correlational examples for convolutional neural networks to detect small impurities 期刊论文
NEUROCOMPUTING, 2018, 卷号: 295, 期号: 21, 页码: 127-141
作者:  Guo, Yue;  He, Yijia;  Song, Haitao;  He, Wenhao;  Yuan, Kui
浏览  |  Adobe PDF(6876Kb)  |  收藏  |  浏览/下载：493/145  |  提交时间：2018/05/30
Impurity Detection  Multi-frame Correlation  Convolutional Neural Network  Correlational Example  Sequential Training  
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization 期刊论文
NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3211-3215
作者:  Guo, X. C.;  Yang, J. H.;  Wu, C. G.;  Wang, C. Y.;  Liang, Y. C.
收藏  |  浏览/下载：244/0  |  提交时间：2015/11/08
Least-squares Support Vector Machines  Parameter Selection  Particle Swarm Optimization  Classification  
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization 期刊论文
NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3211-3215
作者:  Guo, X. C.;  Yang, J. H.;  Wu, C. G.;  Wang, C. Y.;  Liang, Y. C.
收藏  |  浏览/下载：222/0  |  提交时间：2015/11/08
Least-squares Support Vector Machines  Parameter Selection  Particle Swarm Optimization  Classification