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  1. Aug 2022
  2. Local file Local file
    Language and Mind, Third Edition
    1
    1. chrisaldrich 12 Aug 2022
      Thegreat Swiss linguist Ferdinand de Saussure, who at the turn of the century laidthe groundwork for modern structural linguistics, put forth the view that theonly proper methods of linguistic analysis are segmentation and classification.
      Ferdinand de Saussure structural linguistics segmentation classification linguistics

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  3. Oct 2021
  4. psyarxiv.com psyarxiv.com
    COVID-19 Vaccine Segments in Australia: An Audience Segmentation Analysis to Improve Vaccine Uptake
    1
    1. lucyparfitt16 21 Oct 2021

      Thaker, J., & Richardson, L. (2021). COVID-19 Vaccine Segments in Australia: An Audience Segmentation Analysis to Improve Vaccine Uptake [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/y85nm

      is:preprint lang:en COVID-19 vaccine hesitancy audience segmentation public health campaign communication vaccine vaccine uptake Australia theory of planned behaviour media trust social media science messaging campaign
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    psyarxiv.com/y85nm/
  5. Jan 2019
  6. arxiv.org arxiv.org
    1806.05034.pdf
    1
    1. StochasticSeth 23 Jan 2019
      set of diverse but plausible segmentations

      And then use Bayesian methods to determine which segmentations are more likely.

      segmentation
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    arxiv.org/pdf/1806.05034.pdf
  7. Oct 2018
  8. linguistics.stackexchange.com linguistics.stackexchange.com
    Is there really a difference between agglutinative and non-agglutinative languages when spoken?
    1
    1. ildar 30 Oct 2018
      Since the question is about determining the morphological profile of a language, the issue of determining word boundaries is quite central.

      Так как морфологический профиль, то проблема разделения слов (word boundaries) является центральной

      word segmentation morphology
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    linguistics.stackexchange.com/questions/1069/is-there-really-a-difference-between-agglutinative-and-non-agglutinative-languag
  9. towardsdatascience.com towardsdatascience.com
    R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
    1
    1. lakj 19 Oct 2018
      R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
      cnn computer-vision object-recognition image-segmentation
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    towardsdatascience.com/r-cnn-fast-r-cnn-faster-r-cnn-yolo-object-detection-algorithms-36d53571365e
  10. Jun 2018
  11. app.luminpdf.com app.luminpdf.com
    Digital Image Processing (3rd Ed) By Gonzalez.pdf - Lumin PDF
    1
    1. Vinicio 06 Jun 2018

      juju

      Segmentation
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    app.luminpdf.com/viewer/m7TwGKRbNbQNsHmic