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31-40 订阅
排序:
Learning representations and generative models for 3D point clouds  6
Learning representations and generative models for 3D point ...
收藏 引用
6th international Conference on Learning representations, ICLR 2018
作者: Achlioptas, Panos Diamanti, Olga Mitliagkas, Ioannis Guibas, Leonidas Department of Computer Science Stanford University United States Department of Computer Science and Operations Research University of Montréal Canada
three-dimensional geometric data offer an excellent domain for studying representation learning and generative modeling. In this paper, we look at geometric data represented as point clouds. We introduce a deep autoen... 详细信息
来源: 评论
Using a Generic Model for Codebook-based Gait recognition Algorithms  6
Using a Generic Model for Codebook-based Gait Recognition Al...
收藏 引用
6th international workshop on Biometrics and Forensics (IWBF)
作者: Khan, Muhammad Hassan Farid, Muhammad Shahid Grzegorzek, Marcin Univ Siegen Res Grp Pattern Recognit Siegen Germany Univ Punjab Punjab Univ Coll Informat Technol Lahore Pakistan Univ Econ Fac Informat & Commun Katowice Poland
Gait has emerged as a distinguishable human biological trait. It refers to the walking style of an individual and is considered an important biometric feature for person identification. Codebook based gait recognition... 详细信息
来源: 评论
Fast node embeddings: Learning ego-centric representations  6
Fast node embeddings: Learning ego-centric representations
收藏 引用
6th international Conference on Learning representations, ICLR 2018
作者: Pimentel, Tiago Veloso, Adriano Ziviani, Nivio CS Dept. UFMG Belo Horizonte Brazil Kunumi Belo Horizonte Brazil
Representation learning is one of the foundations of Deep Learning and allowed important improvements on several Machine Learning tasks, such as Neural Machine Translation, Question Answering and Speech recognition. R... 详细信息
来源: 评论
Exploring Local Deep representations for Facial Gender Classification in Videos  6th
Exploring Local Deep Representations for Facial Gender Class...
收藏 引用
6th international workshop on Artificial Intelligence and pattern recognition (IWAIPR)
作者: Becerra-Riera, Fabiola Morales-Gonzalez, Annette Mendez-Vazquez, Heydi Adv Technol Applicat Ctr 7ma A 21406 Havana Cuba
Gender recognition in videos is a challenging task that has received limited attention in recent years. To tackle this problem, we propose to explore the use of intermediate features of a Convolutional Neural Network ... 详细信息
来源: 评论
10th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2015
10th IAPR-TC-15 International Workshop on Graph-Based Repres...
收藏 引用
10th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2015
the proceedings contain 36 papers. the special focus in this conference is on graph-based Representation, graph Matching, graph Clustering and graph-based Applications. the topics include: Approximation of graph edit ...
来源: 评论
CEUR workshop Proceedings
CEUR Workshop Proceedings
收藏 引用
6th international workshop "What can FCA do for Artificial Intelligence"?, FCA4AI 2018
the proceedings contain 11 papers. the topics discussed include: inductive reasoning with conceptual space representations;an answer set programming environment for high-level specification and visualization of FCA;th...
来源: 评论
Shape Simplification through graph Sparsification  11th
Shape Simplification Through Graph Sparsification
收藏 引用
11th IAPR-TC15 international workshop on graph-based representations in pattern recognition (GbRPR)
作者: Escolano, Francisco Curado, Manuel Biasotti, Silvia Hancock, Edwin R. Univ Alicante Dept Comp Sci & AI Alicante 03690 Spain CNR IMATI Via Marini 6 Torre de Francia I-16149 Genoa Italy Univ York Dept Comp Sci York YO10 5DD N Yorkshire England
In this paper, we draw on Spielman and Srivastava's method for graph sparsification in order to simplify shape representations. the underlying principle of graph sparsification is to retain only the edges which ar... 详细信息
来源: 评论
Optimum-Path Forest based on k-connectivity: theory and applications
收藏 引用
pattern recognition LETTERS 2017年 第Feb.1期87卷 117-126页
作者: Papa, Joao Paulo Nachif Fernandes, Silas Evandro Falcao, Alexandre Xavier Sao Paulo State Univ Dept Comp Av Eng Luiz Edmundo Carrijo Coube BR-17033360 Bauru SP Brazil Univ Fed Sao Carlos Dept Comp Rod Washington LuisKm 235 BR-13565905 Sao Carlos SP Brazil Univ Estadual Campinas Inst Comp Av Albert Einstein 1251 BR-13083852 Campinas SP Brazil
graph-based pattern recognition techniques have been in the spotlight for many years, since there is a constant need for faster and more effective approaches. Among them, the Optimum-Path Forest (OPF) framework has ga... 详细信息
来源: 评论
A Survey on Applications of Bipartite graph Edit Distance  11th
A Survey on Applications of Bipartite Graph Edit Distance
收藏 引用
11th IAPR-TC15 international workshop on graph-based representations in pattern recognition (GbRPR)
作者: Stauffer, Michael Tschachtli, thomas Fischer, Andreas Riesen, Kaspar Univ Appl Sci & Arts Northwestern Switzerland Inst Informat Syst Riggenbachstr 16 CH-4600 Olten Switzerland Univ Fribourg Dept Informat CH-1700 Fribourg Switzerland Univ Appl Sci & Arts Western Switzerland Inst Complex Syst CH-1705 Fribourg Switzerland Univ Pretoria Dept Informat Pretoria South Africa
About ten years ago, a novel graph edit distance framework based on bipartite graph matching has been introduced. this particular framework allows the approximation of graph edit distance in cubic time. this, in turn,... 详细信息
来源: 评论
graph edit distance as a quadratic assignment problem
收藏 引用
pattern recognition LETTERS 2017年 87卷 38-46页
作者: Bougleux, Sebastien Brun, Luc Carletti, Vincenzo Foggia, Pasquale Gauzere, Benoit Vento, Mario Normandie Univ UNICAEN ENSICAEN CNRSGREYC UMR 6072 6 Bd Marechal Juin F-14050 Caen France Univ Salerno Dept Informat Elect Engn & Appl Math MIVIA Via Giovanni Paolo 2 I-84084 Fisciano SA Italy Normandie Univ INSA Rouen LITIS EA 4108 Ave Univ F-76801 St Etienne Du Rouvray France
the graph Edit Distance (GED) is a flexible measure of dissimilarity between graphs which arises in error-correcting graph matching. It is defined from an optimal sequence of edit operations (edit path) transforming o... 详细信息
来源: 评论