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CASIA OpenIR
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KEYWORD SPOTTING FROM ONLINE CHINESE HANDWRITTEN DOCUMENTS USING ONE-VERSUS-ALL CHARACTER CLASSIFICATION MODEL 期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2013, 卷号: 27, 期号: 3, 页码: 1
作者:  Zhang, Heng;  Wang, Da-Han;  Liu, Cheng-Lin;  Bunke, Horst
收藏  |  浏览/下载：75/0  |  提交时间：2020/10/27
Online Chinese Handwritten Documents  Keyword Spotting  One-versus-all Classifiers  Character-synchronous Dynamic Search  Character Confusion  Adaptive Threshold  
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：203/59  |  提交时间：2020/10/20
MuLTReNets  auto-weighter  Separable MDLSTM  multilingual handwritten text recognition  multi-task learning  
LG-CNN: From local parts to global discrimination for fine-grained recognition 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 期号: 71, 页码: 118-131
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yang, Wenhan;  Xu, Mingliang;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2717Kb)  |  收藏  |  浏览/下载：677/273  |  提交时间：2018/01/16
Fine-grained Recognition  Convolutional Neural Networks  Bilinear Pooling  Local Parts  Global Discrimination  
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
浏览  |  Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：517/158  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Building Regional Covariance Descriptors for Vehicle Detection 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 4, 页码: 524-528
作者:  Chen, Xueyun;  Gong, Ren-Xi;  Xie, Ling-Ling;  Xiang, Shiming;  Liu, Cheng-Lin;  Pan, Chun-Hong
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：377/113  |  提交时间：2017/09/12
Deep Convolutional Neural Networks (Dcnns)  Regional Covariance Descriptor (Rcd)  Vehicle Detection  
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 6, 页码: 1263-1274
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(5307Kb)  |  收藏  |  浏览/下载：544/166  |  提交时间：2016/07/14
Convolutional Neural Networks (Cnns)  Dictionary  Domain ADaptation (Da)  Fisher Vector  Part Learning  Scene Recognition  
Adaptive spatial pooling for image classification 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 55, 页码: 58-67
作者:  Liu, Yinglu;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1748Kb)  |  收藏  |  浏览/下载：614/226  |  提交时间：2016/04/06
Weighted Pooling  Spatial Layout  Distribution Matrix  Image Classification  
Discriminative quadratic feature learning for handwritten Chinese character recognition 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 49, 期号: 1, 页码: 7-18
作者:  Zhou, Ming-Ke;  Zhang, Xu-Yao;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(1397Kb)  |  收藏  |  浏览/下载：605/236  |  提交时间：2015/11/23
Handwritten Chinese Character Recognition  Discriminative Feature Learning  Quadratic Correlation  Dimensionality Promotion  Training Set Expansion  
Retargeted Least Squares Regression Algorithm 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2206-2213
作者:  Zhang, Xu-Yao;  Wang, Lingfeng;  Xiang, Shiming;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：493/184  |  提交时间：2015/10/13
Least Squares Regression (Lsr)  Multicategory Classification  Retargeting  
Online and offline handwritten Chinese character recognition: Benchmarking on new databases 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 1, 页码: 155-162
作者:  Liu, Cheng-Lin;  Yin, Fei;  Wang, Da-Han;  Wang, Qiu-Feng
浏览  |  Adobe PDF(792Kb)  |  收藏  |  浏览/下载：418/103  |  提交时间：2015/08/12
Handwritten Chinese Character Recognition  Online  Offline  Databases  Benchmarking