机构

• 自动化研究所 [14]
• 重庆绿色智能技术研究... [2]
• 新疆理化技术研究所 [1]
• 文献情报中心 [1]
• 软件研究所 [1]
• 天津工业生物技术研究... [1]
• 更多

采集方式

• OAI收割 [20]

内容类型

• 期刊论文 [14]
• 会议论文 [3]
• 学位论文 [3]

发表日期

• 2019 [2]
• 2018 [3]
• 2017 [2]
• 2016 [1]
• 2014 [6]
• 2013 [4]
• 更多

学科主题

• Computer S... [1]
• Engineerin... [1]
• Transporta... [1]
• 编辑出版 [1]

筛选

浏览/检索结果: 共20条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 UYGHUR MORPHOLOGICAL ANALYSIS USING JOINT CONDITIONAL RANDOM FIELDS: BASED ON SMALL SCALED CORPUS 期刊论文  OAI收割 DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2019, 卷号: 12, 期号: 4-5, 页码: 823-836 作者:  Abdukerim, G (Abdukerim, Ghalip)[ 1,2 ];  Tursun, E (Tursun, Eziz)[ 1,2,3 ];  Yang, YT (Yang, Yating)[ 1,2 ];  Li, X (Li, Xiao)[ 1,2 ]   |  收藏  |  浏览/下载：69/0  |  提交时间：2019/05/14 Uyghur language  natural language processing  morphological analysis  tagging corpus  Conditional Random Fields (CRF)   Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文  OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850 作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/02/22 Probabilistic simultaneous localization and mapping (SLAM)  dynamic obstacles  Markov random fields (MRF)  iterated conditional modes (ICM)  kernel estimator.   A deep learning model integrating FCNNs and CRFs for brain tumor segmentation 期刊论文  OAI收割 MEDICAL IMAGE ANALYSIS, 2018, 卷号: 43, 期号: 43, 页码: 98-111 作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo   |  收藏  |  浏览/下载：52/0  |  提交时间：2018/01/04 Brain Tumor Segmentation  Fully Convolutional Neural Networks  Conditional Random Fields  Deep Learning   Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324 作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli   |  收藏  |  浏览/下载：6/0  |  提交时间：2021/02/23 Simultaneous localization and mapping  Markov random fields  iterated conditional modes  modelling  on-line solver.   3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs 会议论文  OAI收割 Quebec City, QC, Canada, 2017-09 作者:  Zhao XM(赵晓梅);  Wu YH(吴毅红);  Song Guidong;  Li Zhenye;  Zhang Yazhuo   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/05/07 Brain Tumor Segmentation  Fully Convolutional Neural Networks  3d Conditional Random Fields  Multi-views   Keyword spotting in handwritten chinese documents using semi-markov conditional random fields 期刊论文  OAI收割 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：40/0  |  提交时间：2017/05/05 Online Handwritten Chinese Documents  Semi-markov Conditional Random Fields  Keyword Spotting  Proxy-character Driven Search   Keyword spotting in handwritten chinese documents using semi-markov conditional random fields 期刊论文  OAI收割 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：31/0  |  提交时间：2018/03/05 Online handwritten Chinese documents  Semi-Markov conditional random fields  Keyword spotting  Proxy-character driven search   Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields 会议论文  OAI收割 Athens, Greece, 2016-10 作者:  Zhao XM(赵晓梅);  Wu YH(吴毅红);  Song Guidong;  Li Zhenye;  Fan Y(范勇)   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/05/07 Brain Tumor Segmentation  Magnetic Resonance Image  Fully Convolutional Neural Network  Conditional Random Fields  Recurrent Neural Network   Multi-class segmentation of free-form online documents with tree conditional random fields 期刊论文  OAI收割 INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2014, 卷号: 17, 期号: 4, 页码: 313-329 作者:  Delaye, Adrien;  Liu, Cheng-Lin 收藏  |  浏览/下载：40/0  |  提交时间：2015/08/12 Document segmentation  Online documents  Unconstrained note-taking  Handwriting  Conditional random fields   Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文  OAI收割 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 收藏  |  浏览/下载：31/0  |  提交时间：2015/08/12 Semi-Markov conditional random fields  Minimum-risk training  Character string recognition