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Incremental Concept Learning via Online Generative Memory Recall 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216
作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang
收藏  |  浏览/下载：266/0  |  提交时间：2021/08/15
Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)  
AN EFFICIENT MISPRONOUNCIATION DETCTION METHOD USING GLDS-SVM AND FORMANT ENHANCED FEATURES 会议论文
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009
作者:  Li, HY;  Liang, JE;  Wang, SJ;  Xu, B
收藏  |  浏览/下载：17/0  |  提交时间：2020/10/27
Context Dependent Feature based Bottom-up rescoring SVM Classifier in Children's English Stress Mis-pronunciation detection 会议论文
IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2009
作者:  Huang, S;  Li, HY;  Wang, SJ;  Liang, JE;  Xu, B
收藏  |  浏览/下载：30/0  |  提交时间：2020/10/27
High Performance Automatic Mispronunciation Detection Method Based on Neural Network and TRAP Features 会议论文
Annual Conference of the International Speech Communication Association (INTERSPEECH), 2009
作者:  Li, HY;  Wang, SJ;  Liang, J;  Huang, S;  Xu, B
收藏  |  浏览/下载：21/0  |  提交时间：2020/10/27
Exploring goodness of prosody by diverse matching templates 会议论文
Annual Conference of the International Speech Communication Association (INTERSPEECH), 2010
作者:  Huang, S;  Li, HY;  Wang, SJ;  Liang, J;  Xu, B
收藏  |  浏览/下载：32/0  |  提交时间：2020/10/27
Automatic reference independent evaluation of prosody quality using multiple knowledge fusions 会议论文
Annual Conference of the International Speech Communication Association (INTERSPEECH), 2010
作者:  Huang, S;  Li, HY;  Wang, SJ;  Liang, JE;  Xu, B
收藏  |  浏览/下载：45/0  |  提交时间：2020/10/27
EXPLORING NUISANCE ATTRIBUTE PROJECTION AND SCORE NORMALIZATION FOR GLDS-SVM BASED AUTOMATIC MISPRONUNCIATION DETECTION METHOD 会议论文
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
作者:  Li, HY;  Huang, S;  Wang, SJ;  Liang, JE;  Xu, B
收藏  |  浏览/下载：48/0  |  提交时间：2020/10/27
面向非平稳环境的知识迁移方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  李怀宇
Adobe PDF(13633Kb)  |  收藏  |  浏览/下载：244/10  |  提交时间：2020/06/11
元学习  持续学习  知识迁移  灾难遗忘  生成式对抗网络  
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
PMLR, Long Beach, California,, 2019-6
作者:  Li, Huaiyu;  Dong, Weiming;  Mei, Xing;  Ma, Chongyang;  Huang, Feiyue;  Hu, Baogang
浏览  |  Adobe PDF(831Kb)  |  收藏  |  浏览/下载：235/32  |  提交时间：2020/06/11
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning 会议论文
International Conference on Machine Learning, Long Beach, CA, USA, 2019-6
作者:  Huaiyu Li;  Weiming Dong;  Xing Mei;  Chongyang Ma;  Feiyue Huang;  Bao-Gang Hu
收藏  |  浏览/下载：256/0  |  提交时间：2019/06/19