咨询与建议

限定检索结果

文献类型

  • 38 篇 期刊文献
  • 31 篇 会议
  • 1 册 图书

馆藏范围

  • 70 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 40 篇 工学
    • 26 篇 计算机科学与技术...
    • 19 篇 软件工程
    • 11 篇 生物工程
    • 8 篇 生物医学工程(可授...
    • 6 篇 机械工程
    • 5 篇 信息与通信工程
    • 4 篇 光学工程
    • 3 篇 化学工程与技术
    • 2 篇 力学(可授工学、理...
    • 2 篇 仪器科学与技术
    • 1 篇 电气工程
    • 1 篇 控制科学与工程
  • 26 篇 理学
    • 15 篇 生物学
    • 13 篇 数学
    • 4 篇 物理学
    • 4 篇 化学
    • 4 篇 统计学(可授理学、...
    • 1 篇 系统科学
  • 13 篇 医学
    • 10 篇 临床医学
    • 2 篇 基础医学(可授医学...
    • 1 篇 公共卫生与预防医...
  • 6 篇 管理学
    • 5 篇 图书情报与档案管...
    • 1 篇 公共管理
  • 2 篇 农学
    • 1 篇 作物学
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 6 篇 feature extracti...
  • 5 篇 accuracy
  • 4 篇 estimation
  • 3 篇 videos
  • 3 篇 pattern recognit...
  • 3 篇 databases
  • 3 篇 kernel
  • 2 篇 support vector m...
  • 2 篇 deep neural netw...
  • 2 篇 indexes
  • 2 篇 computational li...
  • 2 篇 computational mo...
  • 2 篇 face
  • 2 篇 machine learning
  • 2 篇 embeddings
  • 2 篇 proteins
  • 2 篇 detectors
  • 2 篇 amino acids
  • 2 篇 aging
  • 2 篇 forecasting

机构

  • 5 篇 pattern recognit...
  • 4 篇 leiden universit...
  • 3 篇 pattern recognit...
  • 3 篇 institute of ima...
  • 3 篇 pattern recognit...
  • 3 篇 school of engine...
  • 3 篇 leiden universit...
  • 3 篇 leiden universit...
  • 3 篇 pattern recognit...
  • 2 篇 maastricht unive...
  • 2 篇 elsa science ab ...
  • 2 篇 tsinghua univers...
  • 2 篇 department of ma...
  • 2 篇 pattern recognit...
  • 2 篇 gaoling school o...
  • 2 篇 elsa science sto...
  • 2 篇 state engineerin...
  • 2 篇 school of artifi...
  • 2 篇 pattern recognit...
  • 2 篇 nij smellinghe h...

作者

  • 5 篇 tax david m.j.
  • 5 篇 laurens van der ...
  • 4 篇 b. axnäs
  • 4 篇 r. knevel
  • 4 篇 hamdi dibekliogl...
  • 4 篇 barth erhardt
  • 3 篇 l. qin
  • 3 篇 erhardt barth
  • 3 篇 m.j.t. reinders
  • 3 篇 f. zegers
  • 3 篇 l. klareskog
  • 3 篇 reinders marcel
  • 3 篇 dekhovich aleksa...
  • 3 篇 e.b. van den akk...
  • 3 篇 bessa miguel a.
  • 3 篇 hong-bin shen
  • 3 篇 e. steyerberg
  • 3 篇 d. selani
  • 3 篇 s. le cessie
  • 2 篇 sluiter marcel h...

语言

  • 67 篇 英文
  • 2 篇 其他
  • 1 篇 中文
检索条件"机构=Pattern Recognition and Bioinformatics"
70 条 记 录,以下是21-30 订阅
排序:
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
arXiv
收藏 引用
arXiv 2024年
作者: Tepeli, Yasin I. de Wolf, Mathijs Gonçalves, Joana P. Pattern Recognition & Bioinformatics Department of Intelligent Systems EEMCS Faculty Delft University of Technology Delft2628 XE Netherlands
Selection bias poses a critical challenge for fairness in machine learning, as models trained on data that is less representative of the population might exhibit undesirable behavior for underrepresented profiles. Sem... 详细信息
来源: 评论
Improving performance of heart rate time series classification by grouping subjects
arXiv
收藏 引用
arXiv 2023年
作者: Beekhuizen, Michael Naseri, Arman Tax, David van der Bilt, Ivo Reinders, Marcel Pattern Recognition and Bioinformatics Delft University of Technology Delft Netherlands Department of Cardiology Haga Teaching Hospital The Hague Netherlands
Unlike the more commonly analyzed ECG or PPG data for activity classification, heart rate time series data is less detailed, often noisier and can contain missing data points. Using the BigIdeasLab_STEP dataset, which... 详细信息
来源: 评论
Deep Convolutional Neural Networks as Generic Feature Extractors
arXiv
收藏 引用
arXiv 2017年
作者: Hertel, Lars Barth, Erhardt Käster, Thomas Martinetz, Thomas Institute for Signal Processing University of Luebeck Institute for Neuro-and Bioinformatics University of Luebeck Pattern Recognition Company GmbH Luebeck Germany
Recognizing objects in natural images is an intricate problem involving multiple conflicting objectives. Deep convolutional neural networks, trained on large datasets, achieve convincing results and are currently the ... 详细信息
来源: 评论
Markov Random Field for wind farm planning
Markov Random Field for wind farm planning
收藏 引用
IEEE International Conference on Smart Energy Grid Engineering (SEGE)
作者: Hale Cetinay Taygun Kekeç Fernando A. Kuipers D. M. J. Tax Network Architectures and Services Delft University of Technology Delft The Netherlands Pattern Recognition and Bioinformatics Laboratory Delft University of Technology Delft The Netherlands
Many countries aim to integrate a substantial amount of wind energy in the near future. This requires meticulous planning, which is challenging due to the uncertainty in wind profiles. In this paper, we propose a nove... 详细信息
来源: 评论
Illumination correction for image stitching
Illumination correction for image stitching
收藏 引用
作者: Klement, Sascha Timm, Fabian Barth, Erhardt Institute for Neuro- and Bioinformatics University of Lübeck Ratzeburger Allee 160 23538 Lübeck Germany Pattern Recognition Company GmbH Innovations Campus Lübeck Maria-Goeppert-Straße 1 23562 Lübeck Germany
Inhomogeneous illumination occurs in nearly every image acquisition system and can hardly be avoided simply by improving the quality of the hardware and the optics. Therefore, software solutions are needed to correct ... 详细信息
来源: 评论
A preliminary study on visual estimation of taste appreciation
A preliminary study on visual estimation of taste appreciati...
收藏 引用
IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
作者: İdil Esen Zülfikar Hamdi Dibeklioğlu Hazim Kemal Ekenel Faculty of Computer and Informatics Istanbul Technical University Istanbul Turkey Pattern Recognition & Bioinformatics Group Delft University of Technology Delft Netherlands
From past to present, individuals' appreciation of taste has always been wondered. Moreover, there is an increasing research interest in measuring taste appreciation. Most of the previous work in this area are psy... 详细信息
来源: 评论
Accurate eye centre localisation by means of gradients
Accurate eye centre localisation by means of gradients
收藏 引用
作者: Timm, Fabian Barth, Erhardt Institute for Neuro- and Bioinformatics University of Lübeck Ratzeburger Allee 160 D-23538 Lübeck Germany Pattern Recognition Company GmbH Innovations Campus Lübeck Maria-Goeppert-Strasse 1 D-23562 Lübeck Germany
The estimation of the eye centres is used in several computer vision applications such as face recognition or eye tracking. Especially for the latter, systems that are remote and rely on available light have become ve... 详细信息
来源: 评论
What Will Your Future Child Look Like? Modeling and Synthesis of Hereditary patterns of Facial Dynamics
What Will Your Future Child Look Like? Modeling and Synthesi...
收藏 引用
International Conference on Automatic Face and Gesture recognition
作者: Itir Önal Ertugrul Hamdi Dibeklioglu Department of Computer Engineering Middle East Technical University Ankara Turkey Pattern Recognition & Bioinformatics Group Delft University of Technology Delft The Netherlands
Analysis of kinship from facial images or videos is an important problem. Prior machine learning and computer vision studies approach kinship analysis as a verification or recognition task. In this paper, first time i... 详细信息
来源: 评论
Building a Deep Learning Model to Detect Osteoporosis from Dental Panoramic X-Ray Image
收藏 引用
Open Journal of Applied Sciences 2024年 第12期14卷 3480-3489页
作者: Farah Hassan Brangakgi Yasser Khadra Department of Physiology Faculty of Medicine Damascus University Damascus Syria Bioinformatics Syrian Virtual University Damascus Syria Medical Digital Image Processing and Pattern Recognition University of Lyon Lyon France
The project discusses the development of a deep learning model to detect osteoporosis from dental panoramic X-Ray images. It provides an in-depth understanding of human bone structure, osteoporosis, its symptoms, caus... 详细信息
来源: 评论
Conditional random fields for protein function prediction
Conditional random fields for protein function prediction
收藏 引用
8th IAPR International Conference on pattern recognition in bioinformatics, PRIB 2013
作者: Gehrmann, Thies Loog, Marco Reinders, Marcel J.T. De Ridder, Dick Delft Bioinformatics Lab Delft University of Technology Mekelweg 4 2628 CD Delft Netherlands Pattern Recognition Lab Delft University of Technology Mekelweg 4 2628 CD Delft Netherlands Netherlands Bioinformatics Centre P.O. Box 9101 6500 HB Nijmegen Netherlands Kluyver Centre for Genomics of Industrial Fermentation P.O. Box 5057 2600 GA Delft Netherlands
Markov Random Fields (MRF) have been shown to be good predictors of functional annotation, using protein-protein interaction data. Many other sources of data can also be used in this prediction task, but they are typi... 详细信息
来源: 评论