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Inverse Procedural Modeling of Branching Structures by Inferring L-Systems 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 5, 页码: 13
作者:  Guo, Jianwei;  Jiang, Haiyong;  Benes, Bedrich;  Deussen, Oliver;  Zhang, Xiaopeng;  Lischinski, Dani;  Huang, Hui
Adobe PDF(5597Kb)  |  收藏  |  浏览/下载：214/4  |  提交时间：2021/01/07
L-systems  grammar induction  procedural generation  
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong
收藏  |  浏览/下载：208/0  |  提交时间：2021/01/06
Catastrophic forgetting  State primitives  Robotics  Continual learning  
Self-Paced Balance Learning for Clinical Skin Disease Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 2832-2846
作者:  Yang, Jufeng;  Wu, Xiaoping;  Liang, Jie;  Sun, Xiaoxiao;  Cheng, Ming-Ming;  Rosin, Paul L.;  Wang, Liang
收藏  |  浏览/下载：249/0  |  提交时间：2020/09/07
Diseases  Skin  Complexity theory  Training  Task analysis  Image recognition  Learning systems  Class imbalance  clinical skin disease recognition  complexity level  self-paced balance learning (SPBL)  
Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
作者:  Zhang, Yifan;  Shi, Lei;  Wu, Yi;  Cheng, Ke;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(1310Kb)  |  收藏  |  浏览/下载：488/138  |  提交时间：2020/08/31
Gesture recognition  Spatiotemporal deformable convolution  Spatiotemporal convolutional neural network  
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 7, 页码: 2557-2568
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：248/0  |  提交时间：2020/08/03
Convergence  Extrapolation  Optimization  Acceleration  Machine learning  Task analysis  Machine learning algorithms  Individual convergence  machine learning  Nesterov's extrapolation  nonsmooth optimization  sparsity  
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：215/0  |  提交时间：2020/03/30
Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization