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检索条件"机构=Lab. of Pattern Recognition and Intelligent System"
130 条 记 录,以下是1-10 订阅
排序:
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
arXiv
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arXiv 2025年
作者: Ou, Ruizhe Hu, Yuan Zhang, Fan Chen, Jiaxin Liu, Yu Pattern Recognition and Intelligent System Lab School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China Institute of Remote Sensing and Geographic Information Systems School of Earth and Space Sciences Peking University Beijing100871 China Peking University Ordos Research Institute of Energy Ordos017000 China
Multi-modal large language models (MLLMs) have achieved remarkable success in image- and region-level remote sensing (RS) image understanding tasks, such as image captioning, visual question answering, and visual grou... 详细信息
来源: 评论
ACTIVATION FORCE-BASED AIR POLLUTION TRACING  5
ACTIVATION FORCE-BASED AIR POLLUTION TRACING
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2016 5th IEEE International Conference on Network Infrastructure and Digital Content(IC-NIDC 2016)
作者: Huanyu Zhou Ni Zhang Di Huang Zhanyu Ma Weisong Hu Jun Guo Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications NEC Labs China
Atmospheric pollution is getting more and more attention because of the serious *** the pollutant source is one of the key steps to solve this *** paper introduces a new method to trace the pollution diffusion path ac... 详细信息
来源: 评论
An efficient algorithm of hot events detection in text streams
An efficient algorithm of hot events detection in text strea...
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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
作者: Bai, Junliang Guo, Jun Chen, Guang Xu, Weiran Du, Gang Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications China
Hot events detection in text streams has drawn increasing attention in recent sequential data mining works. Different from traditional TDT task which find all the real events' cluster, hot events detection only id... 详细信息
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论
The comparison of several methods of processing no-rated items in collab.rative 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
Collab.rative 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 Collab.rative... 详细信息
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
BUPT at TREC 2009: Entity track
BUPT at TREC 2009: Entity track
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18th Text REtrieval Conference, TREC 2009
作者: Wang, Zhanyi Liu, Dongxin Xu, Weiran Chen, Guang Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing 100876 China
This report introduces the work of BUPT (PRIS) in Entity Track in TREC2009. The task and data are both new this year. In our work, an improved two-stage retrieval model is proposed according to the task. The first sta...
来源: 评论
POC-NLW template for Chinese word segmentation  5
POC-NLW template for Chinese word segmentation
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5th SIGHAN Workshop on Chinese Language Processing, co-located with COLING/ACL 2006
作者: Chen, Bo Xu, Weiran Peng, Tao Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing100876 China
In this paper, a language tagging template named POC-NLW (position of a character within an n-length word) is presented. Based on this template, a two-stage statistical model for Chinese word segmentation is construct... 详细信息
来源: 评论