咨询与建议

限定检索结果

文献类型

  • 180 篇 会议
  • 16 篇 期刊文献
  • 5 册 图书

馆藏范围

  • 201 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 142 篇 工学
    • 129 篇 计算机科学与技术...
    • 59 篇 软件工程
    • 24 篇 信息与通信工程
    • 23 篇 电气工程
    • 9 篇 控制科学与工程
    • 8 篇 光学工程
    • 8 篇 生物工程
    • 7 篇 生物医学工程(可授...
    • 4 篇 电子科学与技术(可...
    • 3 篇 仪器科学与技术
    • 3 篇 土木工程
    • 2 篇 机械工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 动力工程及工程热...
    • 2 篇 建筑学
  • 62 篇 理学
    • 46 篇 数学
    • 21 篇 物理学
    • 9 篇 生物学
    • 7 篇 统计学(可授理学、...
    • 1 篇 化学
  • 28 篇 医学
    • 26 篇 临床医学
    • 2 篇 特种医学
  • 17 篇 管理学
    • 14 篇 图书情报与档案管...
    • 3 篇 管理科学与工程(可...
    • 2 篇 工商管理
  • 5 篇 文学
    • 5 篇 外国语言文学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 法学
    • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 教育学
    • 1 篇 教育学
  • 1 篇 农学
  • 1 篇 艺术学

主题

  • 38 篇 pattern recognit...
  • 12 篇 graph theory
  • 8 篇 pattern matching
  • 6 篇 image segmentati...
  • 5 篇 cellular neural ...
  • 5 篇 graphic methods
  • 4 篇 image processing
  • 3 篇 deep learning
  • 3 篇 semantics
  • 3 篇 image analysis
  • 3 篇 image recognitio...
  • 3 篇 robustness
  • 2 篇 pattern classifi...
  • 2 篇 task analysis
  • 2 篇 graph edit dista...
  • 2 篇 application soft...
  • 2 篇 computer archite...
  • 2 篇 fingerprint reco...
  • 2 篇 vector spaces
  • 2 篇 face recognition

机构

  • 2 篇 medical universi...
  • 2 篇 univ bern inst c...
  • 2 篇 univ chinese aca...
  • 2 篇 vienna universit...
  • 2 篇 vienna universit...
  • 2 篇 queens univ sch ...
  • 2 篇 chinese acad sci...
  • 2 篇 national laborat...
  • 2 篇 univ chinese aca...
  • 2 篇 univ york dept c...
  • 2 篇 cnrs national ce...
  • 2 篇 pattern recognit...
  • 1 篇 pattern recognit...
  • 1 篇 chinese acad sci...
  • 1 篇 cas ctr excellen...
  • 1 篇 cnrs umr 6072 im...
  • 1 篇 lviv polytechnic...
  • 1 篇 department of el...
  • 1 篇 nanyang technol ...
  • 1 篇 unsw canberra sc...

作者

  • 20 篇 kropatsch walter...
  • 9 篇 haxhimusa yll
  • 8 篇 bunke horst
  • 6 篇 brun luc
  • 5 篇 ion adrian
  • 5 篇 riesen kaspar
  • 5 篇 hancock edwin r.
  • 4 篇 jiang xiaoyi
  • 4 篇 suen ching y.
  • 4 篇 zhao jun
  • 4 篇 vento mario
  • 3 篇 zhou jie
  • 3 篇 foggia pasquale
  • 3 篇 de sousa samuel
  • 3 篇 chen yubo
  • 3 篇 bunke h.
  • 3 篇 liu kang
  • 2 篇 neuhaus michel
  • 2 篇 jiang x.y.
  • 2 篇 blostein d

语言

  • 198 篇 英文
  • 2 篇 中文
  • 1 篇 其他
检索条件"任意字段=6th International Workshop on Graph-Based Representations in Pattern Recognition"
201 条 记 录,以下是11-20 订阅
排序:
Find More Accurate Text Boundary for Scene Text Detection  26
Find More Accurate Text Boundary for Scene Text Detection
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image Mining - theory and Applications (IMTA)
作者: Pan, Runqiu Li, Zezhou Zhu, Anna Wuhan Univ Technol Sch Comp Sci & Artificial Intelligence Wuhan Peoples R China
Arbitrary shape text detection is still an open problem due to several challenges, e.g., dense text adhesion, various sizes, and noises. In this work, we propose a novel scene text detection network by extracting and ... 详细信息
来源: 评论
3D point clouds simplification based on geometric primitives and graph-structured optimization  26
3D point clouds simplification based on geometric primitives...
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image Mining - theory and Applications (IMTA)
作者: Guinard, Stephane A. Daniel, Sylvie Badard, thierry Univ Laval Dept Sci Geomat Quebec City PQ G1V 0A6 Canada
We present a new method for the simplification of 3D point clouds for digital twin city models. Such data usually contains a large amount of redundant information, noise and outliers. this implies that most of subsequ... 详细信息
来源: 评论
Trends in graph -based representations for pattern recognition
收藏 引用
pattern recognition LETTERS 2020年 134卷 3-9页
作者: Brun, Luc Foggia, Pasquale Vento, Mario Univ Salerno Dept Informat & Elect Engn & Appl Math Fisciano Italy GreyC Ecole Natl Super Ingn Caen ENSICAEN Caen France
In this paper we try to examine recent trends on the use of graph-based representations in pattern recognition, using as a vantage point the 11th IAPR-TC15 workshop GbR2017, dedicated to this topic. A survey of the pa... 详细信息
来源: 评论
Automatic target recognition module development for fire control system based on machine learning  6
Automatic target recognition module development for fire con...
收藏 引用
6th Modern Machine Learning Technologies workshop, MoMLeT 2024
作者: Vysotska, Victoria Romanchuk, Roman Nazarkevych, Mariia Lavrut, Oleksandr Lavrut, Tetiana Pysarchuk, Maksym Lviv Polytechnic National University Stepan Bandera 12 Lviv79013 Ukraine Hetman Petro Sahaidachnyi National Army Academy Heroes of Maidan 32 Lviv79026 Ukraine Organization and Planning Department of the Training Center "Partnership for Peace" of the International Peacekeeping and Security Center Lviv79026 Ukraine
Target recognition is a priority in military affairs. this task is complicated by the fact that it is necessary to recognize moving objects, different topography and landscape create obstacles for recognition. Combat ... 详细信息
来源: 评论
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense graph representations  59
<i>Efficient</i> Text-based Reinforcement Learning by Jointl...
收藏 引用
Joint Conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th international Joint Conference on Natural Language Processing (IJCNLP) / 6th workshop on Representation Learning for NLP (RepL4NLP)
作者: Murugesan, Keerthiram Atzeni, Mattia Kapanipathi, Pavan Talamadupula, Kartik Sachan, Mrinmaya Campbell, Murray IBM Res Ruschlikon Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Swiss Fed Inst Technol Zurich Switzerland
Text-based games (TBGs) have emerged as useful benchmarks for evaluating progress at the intersection of grounded language understanding and reinforcement learning (RL). Recent work has proposed the use of external kn... 详细信息
来源: 评论
11th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2017
11th IAPR-TC-15 International Workshop on Graph-Based Repres...
收藏 引用
11th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2017
the proceedings contain 26 papers. the special focus in this conference is on graph-based representations in pattern recognition. the topics include: Saliency detection via a graph based diffusion model;shape simplifi...
来源: 评论
Link-Aware Link Prediction over Temporal graph by pattern recognition  36th
Link-Aware Link Prediction over Temporal Graph by Pattern Re...
收藏 引用
36th international Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE)
作者: Liu, Bingqing Huang, Xikun Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Math Sci Beijing 100049 Peoples R China
A temporal graph can be considered as a stream of links, each of which represents an interaction between two nodes at a certain time. On temporal graphs, link prediction is a common task, which aims to answer whether ... 详细信息
来源: 评论
Distributed representations of Emotion Categories in Emotion Space  59
Distributed Representations of Emotion Categories in Emotion...
收藏 引用
Joint Conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th international Joint Conference on Natural Language Processing (IJCNLP) / 6th workshop on Representation Learning for NLP (RepL4NLP)
作者: Wane, Xiangyu Zong, Chengqing Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing Peoples R China
Emotion category is usually divided into different ones by human beings, but it is indeed difficult to clearly distinguish and define the boundaries between different emotion categories. the existing studies working o... 详细信息
来源: 评论
Learning Faithful representations of Causal graphs  59
Learning Faithful Representations of Causal Graphs
收藏 引用
Joint Conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th international Joint Conference on Natural Language Processing (IJCNLP) / 6th workshop on Representation Learning for NLP (RepL4NLP)
作者: Balashankar, Ananth Subramanian, Lakshminarayanan NYU New York NY 10012 USA
Learning contextual text embeddings that represent causal graphs has been useful in improving the performance of downstream tasks like causal treatment effect estimation. However, existing causal embeddings which are ... 详细信息
来源: 评论
Sixth international workshop on pattern recognition
Sixth International Workshop on Pattern Recognition
收藏 引用
6th international workshop on pattern recognition, IWPR 2021
the proceedings contain 22 papers. the topics discussed include: tensor-patch-based discriminative marginalized least squares regression for membranous nephropathy hyperspectral data classification;quality perception ...
来源: 评论