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Facial Image Attributes Transformation via Conditional Recycle Generative Adversarial Networks 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2018, 卷号: 33, 期号: 3, 页码: 511-521
Authors:  Li, Huai-Yu;  Dong, Wei-Ming;  Hu, Bao-Gang
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Generative Adversarial Network  Image Editing  Facial Attributes Transformation  
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 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: 0, 页码: 280-290
Authors:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
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Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
Robust C-Loss Kernel Classifiers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 510-522
Authors:  Xu, Guibiao;  Hu, Bao-Gang;  Principe, Jose C.
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Correntropy  Half-quadratic (Hq) Optimization  Kernel Classifier  Loss Function  
Centroid-aware local discriminative metric learning in speaker verification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 72, 期号: 72, 页码: 176-185
Authors:  Sheng, Kekai;  Dong, Weiming;  Li, Wei;  Razik, Joseph;  Huang, Feiyue;  Hu, Baogang;  Weiming Dong
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Text-independent Asv  Centroid-aware Balanced Boosting Sampling  Adaptive Neighborhood Component Analysis  Linear Magnet  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
Authors:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Parameter Identifiability  Statistical Machine Learning  
A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 64, 期号: 2, 页码: 361-373
Authors:  Wu, Baoyuan;  Hu, Bao-Gang;  Ji, Qiang
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Face Clustering  Face Tracking  Coupled Hidden Markov Random Field  
Robust support vector machines based on the rescaled hinge loss function 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 63, 页码: 139-148
Authors:  Xu, Guibiao;  Cao, Zheng;  Hu, Bao-Gang;  Principe, Jose C.
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Support Vector Machine  Robustness  Rescaled Hinge Loss  Half-quadratic Optimization  
统计机器学习中参数可辨识性研究及其关键问题 期刊论文
自动化学报, 2017, 卷号: 43, 期号: 10, 页码: 1677-1686
Authors:  冉志勇;  胡包钢
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可辨识性  统计机器学习  参数估计  奇异学习理论  贝叶斯推断  
Self-Paced Learning: An Implicit Regularization Perspective 会议论文
, San Francisco, California USA, 2017
Authors:  Yanbo Fan;  Ran He;  Jian Liang;  Baogang Hu
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Learning with Average Top-k Loss 会议论文
, Long Beach, CA, USA, 2017
Authors:  Fan, Yanbo;  Lyu, Siwei;  Ying, Yiming;  Hu, Bao-Gang
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Supervised Learning  Aggregate Loss  Average Top-k