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CASIA OpenIR
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浏览/检索结果: 共23条，第1-10条 帮助

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DNA computing inspired deep networks design 期刊论文
NEUROCOMPUTING, 2020, 卷号: 382, 页码: 140-147
作者:  Zhong, Guoqiang;  Li, Tao;  Jiao, Wencong;  Wang, Li-Na;  Dong, Junyu;  Liu, Cheng-Lin
收藏  |  浏览/下载：226/0  |  提交时间：2020/03/30
Deep neural networks  DNA computing  Automatic architecture design  Image classification  
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：496/157  |  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
收藏  |  浏览/下载：198/0  |  提交时间：2017/05/05
Online Handwritten Chinese Documents  Semi-markov Conditional Random Fields  Keyword Spotting  Proxy-character Driven Search  
Traffic Sign Detection from Video: A Fast Approach with Tracking 会议论文
Asian Conference on Pattern Recognition, 马来西亚吉隆坡, 2015-12-3-2015-12-6
作者:  Wang Dongdong;  Hou Xinwen;  Liu Cheng-Lin
Adobe PDF(406Kb)  |  收藏  |  浏览/下载：275/60  |  提交时间：2016/06/27
Traffic Sign Detection  Tracking  
A Saliency-Based Cascade Method for Fast Traffic Sign Detection 会议论文
2015 IEEE Intelligent Vehicles Symposium (IV), 韩国首尔, 2015-6-28-2015-7-1
作者:  Wang Dongdong;  Yue Shigang;  Xu Jiawei;  Hou Xinwen;  Liu Cheng-Lin
浏览  |  Adobe PDF(1898Kb)  |  收藏  |  浏览/下载：290/74  |  提交时间：2016/06/27
Traffic Sign Detection  Cascade  Neighbor Scale Awareness  
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：270/69  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2013, 卷号: 35, 期号: 10, 页码: 2413-2426
作者:  Zhou, Xiang-Dong;  Wang, Da-Han;  Tian, Feng;  Liu, Cheng-Lin;  Nakagawa, Masaki
收藏  |  浏览/下载：176/0  |  提交时间：2015/08/12
Character String Recognition  Semi-markov Conditional Random Field  Lattice Pruning  Beam Search  
Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 美国, 2013
作者:  Zhang, Heng;  Zhou, Xiang-Dong;  Liu, Cheng-Lin
收藏  |  浏览/下载：82/0  |  提交时间：2020/10/27
Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 2013
作者:  Xiang-Dong Zhou;  Feng Tian;  Cheng-Lin Liu;  Hong-An Wang
收藏  |  浏览/下载：164/0  |  提交时间：2015/08/19
An approach for real-time recognition of online Chinese handwritten sentences 期刊论文
PATTERN RECOGNITION, 2012, 卷号: 45, 期号: 10, 页码: 3661-3675
作者:  Wang, Da-Han;  Liu, Cheng-Lin;  Zhou, Xiang-Dong
收藏  |  浏览/下载：175/0  |  提交时间：2015/08/12
Online Chinese Handwritten Sentence Recognition  Real-time Recognition  Dynamic Text Line Segmentation  Dynamic Over-segmentation  Dynamic Candidate Lattice  Path Search