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CASIA OpenIR
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A Robust Framework for Short Text Categorization based on Topic Model and Integrated Classifier 会议论文
International Joint Conference on Neural Networks (IJCNN), Beijing, 2014
作者:  Peng Wang;  Heng Zhang;  Yu-Fang Wu;  Bo Xu;  Hong-Wei Hao
收藏  |  浏览/下载：42/0  |  提交时间：2020/10/27
Short Text Hashing Improved by Integrating Topic Features and Tags 会议论文
Neural Information Processing, Kuching, Sarawak, Malaysia, 2014-11
作者:  Xu, Jiaming;  Xu, Bo;  Zhao, Jun;  Tian, Guanhua;  Zhang, Heng;  Hao, Hongwei
收藏  |  浏览/下载：40/0  |  提交时间：2020/10/27
Towards end-to-end speech recognition for Chinese Mandarin using long short-term memory recurrent neural networks 会议论文
INTERSPEECH 2015 emphasizes an interdisciplinary approach covering all aspects of speech science and technology spanning basic theories to applications. In addition to regular oral and poster sessions, the conference will also feature plenary talks by internationally renowned experts, tutorials, special sessions, show & tell sessions, and exhibits. A number of satellite events will take place immediately before and after the conference., 德国, 2015年
作者:  Li J(李杰);  Zhang H(张恒);  Cai XY(蔡新元);  Xu B(徐波)
收藏  |  浏览/下载：63/0  |  提交时间：2020/10/27
Semantic Clustering and Convolutional Neural Network for Short Text Categorization 会议论文
, Beijing, China, 2015-07-26 - 2015-07-31
作者:  Wang, Peng;  Xu, Jiaming;  Xu, Bo;  Liu, Chenglin;  Zhang, Heng;  Wang, Fangyuan;  Hao, Hongwei
收藏  |  浏览/下载：37/0  |  提交时间：2020/10/27
Towards End-to-End Speech Recognition for Chinese Mandarin using Long Short-Term Memory Recurrent Neural Networks 会议论文
Interspeech 2015, Dersen,German, 2016.9.6-2016.9.10
作者:  Jie Li;  Heng Zhang;  Xinyuan Cai;  Bo Xu
收藏  |  浏览/下载：99/0  |  提交时间：2020/10/27
Long Short-term Memory  End-to-end  Connectionist Temporal Classification  Speech Recognition  
Improving Short Text Classification by Learning Vector Representations of Both Words and Hidden Topics 期刊论文
Knowledge-Based Systems, 2016, 页码: 1-11
作者:  Zhang H(张恒)
Adobe PDF(1746Kb)  |  收藏  |  浏览/下载：38/4  |  提交时间：2020/10/27