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CASIA OpenIR
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Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:  Xu, Ting-Bing;  Liu, Cheng-Lin
收藏  |  浏览/下载：202/0  |  提交时间：2022/02/16
Training  Nonlinear distortion  Data models  Neural networks  Knowledge engineering  Network architecture  Generalization error  network compression  representation invariance  self-distillation (SD)  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：305/67  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 107555, 页码: 11
作者:  Chen, Zhuo;  Yin, Fei;  Zhang, Xu-Yao;  Yang, Qing;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2483Kb)  |  收藏  |  浏览/下载：212/62  |  提交时间：2020/10/20
MuLTReNets  auto-weighter  Separable MDLSTM  multilingual handwritten text recognition  multi-task learning  
无权访问的条目 期刊论文
作者:  Xu, Ting-Bing;  Yang, Peipei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1571Kb)  |  收藏  |  浏览/下载：34/11  |  提交时间：2019/07/12
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3290-3302
作者:  Wang, Dongdong;  Hou, Xinwen;  Xu, Jiawei;  Yue, Shigang;  Liu, Cheng-Lin;  Cheng-Lin Liu
Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：535/167  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 卷号: 58, 页码: 49-61
作者:  Zhang, Heng;  Zhou, Xiang-Dong;  Liu, Cheng-Lin
Adobe PDF(1932Kb)  |  收藏  |  浏览/下载：217/4  |  提交时间：2017/05/05
Online Handwritten Chinese Documents  Semi-markov Conditional Random Fields  Keyword Spotting  Proxy-character Driven Search  
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 2017, 期号: 65, 页码: 251-264
作者:  Wu, Yi-Chao;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1290Kb)  |  收藏  |  浏览/下载：1186/512  |  提交时间：2017/02/18
Handwritten Chinese Text Recognition  Feedforward Neural Network Language Model  Recurrent Neural Network Language Model  Hybrid Language Model  Convolutional Neural Network Shape Models  
Unsupervised language model adaptation for handwritten Chinese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 3, 页码: 1202-1216
作者:  Wang, Qiu-Feng;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3154Kb)  |  收藏  |  浏览/下载：301/56  |  提交时间：2015/08/12
Character String Recognition  Chinese Handwriting Recognition  Unsupervised Language Model Adaptation  Language Model Compression  
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：302/82  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
An over-segmentation method for single-touching Chinese handwriting with learning-based filtering 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2014, 卷号: 17, 期号: 1, 页码: 91-104
作者:  Xu, Liang;  Yin, Fei;  Wang, Qiu-Feng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：301/72  |  提交时间：2015/08/12
Single-touching Strings  Chinese Handwriting  Over-segmentation  Learning-based Filtering  Geometric Features