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Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：240/0  |  提交时间：2018/06/04
Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition  
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：77/0  |  提交时间：2018/03/05
Online handwritten Chinese documents  Semi-Markov conditional random fields  Keyword spotting  Proxy-character driven search  
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
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：87/0  |  提交时间：2018/03/15
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Fashion Parsing With Weak Color-Category Labels 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2014, 卷号: 16, 期号: 1, 页码: 253-265
作者:  Liu, Si;  Feng, Jiashi;  Domokos, Csaba;  Xu, Hui;  Huang, Junshi;  Hu, Zhenzhen;  Yan, Shuicheng
Adobe PDF(2479Kb)  |  收藏  |  浏览/下载：478/0  |  提交时间：2018/03/15
Fashion parsing  Markov random fields  weakly-supervised learning