Showing 41 - 60 results of 2,802 for search '((((regimets OR regiments) OR regimetal) OR segment) OR region)', query time: 0.16s Refine Results
  1. 41

    Development of a word segmentation algorithm for Myanmar language by U Tun Thura Thet

    Published 2008
    “…This study is to develop a word segmentation algorithm and solution for Myanmar language. …”
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    Thesis
  2. 42

    The cinema industry in Singapore : a market segmentation exercise by Juan, Hee Meen, Tan, Winnie Bee Hong, Tan, Siew Yan

    Published 2015
    Subjects: “…DRNTU::Business::Marketing::Market segmentation…”
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    Final Year Project (FYP)
  3. 43
  4. 44

    Regional Responses to Disasters : Practice But Not Policy? by Jones, Catherine

    Published 2018
    Subjects: “…Country and Region Studies…”
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    Commentary
  5. 45
  6. 46

    Indonesia's rise & its regional implications by Emirza Adi Syailendra

    Published 2013
    “…What are the implicatios for the region?…”
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    Commentary
  7. 47

    An affine invariant salient region detector by Kadir, T, Zisserman, A, Brady, M

    Published 2004
    “…In this paper we describe a novel technique for detecting salient regions in an image. The detector is a generalization to affine invariance of the method introduced by Kadir and Brady [10]. …”
    Conference item
  8. 48

    Segmentation of magnetic resonance images for assessing neonatal brain maturation by Wang, S

    Published 2016
    “…We also investigate atlas-based whole brain segmentation that generates the binary mask for the region of interest. …”
    Thesis
  9. 49

    Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

    Published 2013
    “…For example, we perform the proposed method for automatic meniscus segmentation with meniscal searching region in a volume of interest. …”
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    Thesis
  10. 50
  11. 51

    Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

    Published 2022
    “…In this thesis, my continual-learning research process is introduced in detail, including a novel method and two regulators, which contribute to anti-forgetting Result in continual learning in the semantic segmentation area. Firstly a real-time semantic segmentation model called ERFnet is evaluated, then based on this network and Cityscapes dataset, a model-recall method is proposed which could significantly reduce the catastrophic forgetting which happens in the process of continual learning in the semantic segmentation area; inspired by mentors, 2 regulators are also conducted which were expected to further improve performance (one regulator is come up by mentors and another is by myself). …”
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    Thesis-Master by Coursework
  12. 52
  13. 53

    The Japanese economy in crises : a time series segmentation study by Cheong, Siew Ann, Fornia, Robert Paulo, Lee, Gladys Hui Ting, Kok, Jun Liang, Yim, Woei Shyr, Xu, Danny Yuan, Zhang, Yiting

    Published 2013
    “…The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. …”
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    Journal Article
  14. 54

    3D-aware instance segmentation and tracking in egocentric videos by Bhalgat, Y, Tschernezki, V, Laina, I, Henriques, JF, Vedaldi, A, Zisserman, A

    Published 2025
    “…Leveraging our tracked instance segmentations, we showcase downstream applications in 3D object reconstruction and amodal video object segmentation in these egocentric settings.…”
    Conference item
  15. 55

    Placing objects in context via inpainting for out-of-distribution segmentation by De Jorge, P, Volpi, R, Dokania, PK, Torr, PHS, Rogez, G

    Published 2024
    “…When deploying a semantic segmentation model into the real world, it will inevitably encounter semantic classes that were not seen during training. …”
    Conference item
  16. 56

    Using multiple segmentations to discover objects and their extent in image collections by Russell, BC, Efros, AA, Sivic, J, Freeman, WT, Zisserman, A

    Published 2006
    “…Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation. To achieve this we combine two ideas: (i) that a set of segmented objects can be partitioned into visual object classes using topic discovery models from statistical text analysis; and (ii) that visual object classes can be used to assess the accuracy of a segmentation. …”
    Conference item
  17. 57

    DiffuSeg: domain-driven diffusion for medical image segmentation by Zhang, L, Wu, F, Bronik, K, Papiez, BW

    Published 2025
    “…Initially, we apply our method to the MNIST dataset and subsequently adapt it for use with medical image segmentation datasets, such as retinal fundus images for vessel segmentation and MRI images for heart segmentation. …”
    Journal article
  18. 58

    Solvability Regions of Affinely Parameterized Quadratic Equations by Dvijotham, Krishnamurthy, Nguyen, Hung, Turitsyn, Konstantin

    Published 2024
    “…Given nominal values of the parameters at which the quadratic system has a solution and the Jacobian of the quadratic system at the solution i snon-singular, we develop a general framework to construct convex regions around the nominal value such that the system is guaranteed to have a solution within a given distance of the nominal solution. …”
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    Article
  19. 59

    Conference report: authoritative speech in the Himalayan region by Mazard, Mireille

    Published 2024
    “…On 25-26 November 2011, Marie Lecomte-Tilouine and Anne de Sales held a conference on “Authoritative Speech in the Himalayan Region”. Sales and Lecomte-Tilouine, both accomplished anthropologists of Nepal, are affiliated with the Centre National de Recherche Scientifique (CNRS), in Paris. …”
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    Journal Article
  20. 60

    Region of interest in images using tagged information by Meena C.

    Published 2011
    “…Besides that, different regions of an image can be indicated with different tags and this idea is being employed in the methodology covered in our project. …”
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    Final Year Project (FYP)