Bao-Gang Hu / 胡包钢
Cited by
Cited by
Maximum correntropy criterion for robust face recognition
R He, WS Zheng, BG Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (8), 1561-1576, 2010
Analysis of direct action fuzzy PID controller structures
GKI Mann, BG Hu, RG Gosine
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999
New methodology for analytical and optimal design of fuzzy PID controllers
B Hu, GKI Mann, RG Gosine
IEEE Transactions on fuzzy systems 7 (5), 521-539, 1999
Robust principal component analysis based on maximum correntropy criterion
R He, BG Hu, WS Zheng, XW Kong
IEEE Transactions on Image Processing 20 (6), 1485-1494, 2011
A systematic study of fuzzy PID controllers-function-based evaluation approach
BG Hu, GKI Mann, RG Gosine
IEEE transactions on fuzzy systems 9 (5), 699-712, 2001
虚拟植物生长的双尺度自动机模型 (Dual-scale Automaton Model for Virtual Plant Development)
赵星, de Reffye P, 熊范纶, 胡包钢, 展志岗
计算机学报 (Chinese Journal of Computers) 24 (6), 608-615, 2001
植物生长建模与可视化——回顾与展望 (Plant Growth Modeling and Visualization - Review and Perspective)
HU Bao-Gang, Z Xing, YAN Hong-Ping, de Reffye Ph, B F., X FL, ...
自动化学报 (Acta Automatica Sinica) 27 (6), 816-835, 2001
模糊 PID 控制技术研究发展回顾及其面临的若干重要问题 (Review of Fuzzy PID Control Techniques and Some Important Issues)
胡包钢, 应浩
自动化学报 (Acta Automatica Sinica) 27 (4), 567-584, 2001
Robust feature extraction via information theoretic learning
XT Yuan, BG Hu
ICML-2009, 1193-1200, 2009
Constrained clustering and its application to face clustering in videos
B Wu, Y Zhang, BG Hu, Q Ji
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2013
Two-stage nonnegative sparse representation for large-scale face recognition
R He, WS Zheng, BG Hu, XW Kong
IEEE transactions on neural networks and learning systems 24 (1), 35-46, 2012
Nonnegative sparse coding for discriminative semi-supervised learning
R He, WS Zheng, BG Hu, XW Kong
CVPR 2011, 2849-2856, 2011
Structural factorization of plants to compute their functional and architectural growth
PH Cournède, MZ Kang, A Mathieu, JF Barczi, HP Yan, BG Hu, ...
Simulation 82 (7), 427-438, 2006
Fast hydraulic erosion simulation and visualization on GPU
X Mei, P Decaudin, BG Hu
15th Pacific Conference on Computer Graphics and Applications (PG'07), 47-56, 2007
Multi-label learning with missing labels for image annotation and facial action unit recognition
B Wu, S Lyu, BG Hu, Q Ji
Pattern Recognition 48 (7), 2279-2289, 2015
A regularized correntropy framework for robust pattern recognition
R He, WS Zheng, BG Hu, XW Kong
Neural computation 23 (8), 2074-2100, 2011
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
H Li, W Dong, X Mei, C Ma, F Huang, BG Hu
ICML-2019, arXiv preprint arXiv:1905.06331,, 2019
Relevant qualitative and quantitative choices for building an efficient dynamic plant growth model: GreenLab case
P De Reffye, BG Hu
International Symposium on Plant Growth Modeling, Simulation, Visualization …, 2003
Learning with Average Top-k Loss
Y Fan, S Lyu, Y Ying, BG Hu
NIPS-2017, 2017
Attention-based multi-patch aggregation for image aesthetic assessment
K Sheng, W Dong, C Ma, X Mei, F Huang, BG Hu
Proceedings of the 26th ACM international conference on Multimedia, 879-886, 2018
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