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检索条件"机构=Pattern Recognition and Intelligent System"
326 条 记 录,以下是41-50 订阅
排序:
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction  29
Cluster-aware Pseudo-Labeling for Supervised Open Relation E...
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29th International Conference on Computational Linguistics, COLING 2022
作者: Duan, Bin Wang, Shusen Liu, Xingxian Xu, Yajing Pattern Recognition & Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China
Supervised open relation extraction aims to discover novel relations by leveraging supervised data of pre-defined relations. However, most existing methods do not achieve effective knowledge transfer from pre-defined ... 详细信息
来源: 评论
A visualization algorithm for alarm association mining
A visualization algorithm for alarm association mining
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2009 IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC2009
作者: Xu, Qianfang Li, Chunguang Xiao, Bo Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China
Currently those algorithms to mine the alarm association rules are limited to the minimal support, so that they can only obtain the association rules among the frequently occurring alarm events, furthermore, the rules... 详细信息
来源: 评论
TREC2005 enterprise track experiments at BUPT
TREC2005 enterprise track experiments at BUPT
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14th Text REtrieval Conference, TREC 2005
作者: Ru, Zhao Chen, Yuehua Xu, Weiran Guo, Jun Pattern Recognition and Intelligent System Lab Beijing University of Posts and Telecommunications Beijing 100876 China
This paper introduces and analyzes some experiments to find valid methods and features in enterprise search. For this purpose, two main experiments have been done. One is to retrieve some emails which contain the requ... 详细信息
来源: 评论
Semi-supervised learning for automatic audio events annotation using TSVM
Semi-supervised learning for automatic audio events annotati...
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2010 International Conference on Computer Application and system Modeling, ICCASM 2010
作者: Wang, Rongyan Liu, Gang Guo, Jun Ma, Zhenxin Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China
Most previous approaches to automatic audio events (AEs) annotation are based on supervised learning which relies on the availability of a labeled corpus to train classification models. However, instance annotation is... 详细信息
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Social media communication model research bases on Sina-weibo
Social media communication model research bases on Sina-weib...
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作者: Wu, Ming Guo, Jun Zhang, Chuang Xie, Jianjun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
The popularity of microblog brings new characters to information diffusion in social networks. Facing new challenges of understanding information propagation in microblog, the framework of information producing and re... 详细信息
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Tweets reading probability analysis based on competing-window model
Tweets reading probability analysis based on competing-windo...
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International Conference on Intelligence Science and Information Engineering
作者: Xie, Jianjun Zhang, Chuang Wu, Ming Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
In microgblogs, a user usually follows or is followed by many other users. The content updating and reading is a complex process involving intensive interactions among publishers and readers. It also forms the basis o... 详细信息
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A new combination feature of S-LBP and main color descriptor for video frame retrieval
A new combination feature of S-LBP and main color descriptor...
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2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010
作者: Zhang, Honggang Liu, Lixia Feng, Aiping Wan, Xinxin Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
In this paper, we draw Local Binary pattern (LBP) and main color descriptor into content-based video indexing and retrieval. LBP is a powerful texture descriptor for its tolerance against illumination changes and its ... 详细信息
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The comparison of several methods of processing no-rated items in collaborative filtering algorithm
The comparison of several methods of processing no-rated ite...
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2009 2nd IEEE International Conference on Broadband Network and Multimedia Technology, IEEE IC-BNMT2009
作者: Jinbo, Zhang Zhiqing, Lin Bo, Xiao Chuang, Zhang Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
Collaborative Filtering is a very important technology in E-commerce. Unfortunately, with the increase of users and commodities, the user rating data is extremely sparse, which leads to the low efficient Collaborative... 详细信息
来源: 评论
BUPT at TREC 2006: Enterprise track
BUPT at TREC 2006: Enterprise track
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15th Text REtrieval Conference, TREC 2006
作者: Ru, Zhao Li, Qian Xu, Weiran Guo, Jun Pattern Recognition and Intelligent System Lab Beijing University of Posts and Telecommunications Beijing 100876 China
来源: 评论
Simplified Local Binary pattern descriptor for character recognition of vehicle license plate
Simplified Local Binary Pattern descriptor for character rec...
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International Conference on Computer Graphics, Imaging and Visualization
作者: Liu, Lixia Zhang, Honggang Feng, Aiping Wan, Xinxin Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
Local Binary pattern (LBP) is a powerful texture descriptor for its tolerance against illumination changes and its computational simplicity. The basic LBP encodes 256 feature patterns in a 3×3 neighborhood, but n... 详细信息
来源: 评论