Results 11 to 20 of about 6,829,809 (314)
CoRR, 1998 A model of co-occurrence in bitext is a boolean predicate that indicates whether a given pair of word tokens co-occur in corresponding regions of the bitext space. Co-occurrence is a precondition for the possibility that two tokens might be mutual translations.
I. Dan Melamed, Melamed, I. Dan
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ISPRS International Journal of Geo-InformationToponym groups are fundamental units of quantitative spatial analysis of toponyms. Using suitable technical methods to investigate the spatial distribution and co-occurrence characteristics of these groups has significant implications for identifying ...
Gaimei Wang, Fei He, Li Wang
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The Complexity of the Co-occurrence Problem [PDF]
, 2022 Let $S$ be a string of length $n$ over an alphabet $Σ$ and let $Q$ be a subset of $Σ$ of size $q \geq 2$. The 'co-occurrence problem' is to construct a compact data structure that supports the following query: given an integer $w$ return the number of length-$w$ substrings of $S$ that contain each character of $Q$ at least once.
Philip Bille +2 more
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Conflating “co-occurrence” with “coexistence” [PDF]
Proceedings of the National Academy of Sciences, 2013 Carter et al. (1) argued that coexistence is practical at fine spatial scales based on temporal segregation between tigers and people in and around Chitwan National Park, Nepal. The authors presented their coexistence model as an alternative to the widely held principle that long-term tiger conservation requires extensive areas where human-use is ...
Abishek, Harihar +6 more
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, 2023 The dataset includes toponymic co-occurrence data, province coordinates and topological distances for Chinese provinces from 2011 to 2020. 2020 population migration data, including migration proportion and migration scale index.
Hang Li (13704058)
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Co-occurrence analysis of the keywords (n = 78) (min 5 occurrence of all keywords).
, 2023 Co-occurrence analysis of the keywords (n = 78) (min 5 occurrence of all keywords).
Noor Hisham Kamis (16986063) +4 more
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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Co-occurrence Filter (CoF) is a boundary preserving filter. It is based on the Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it relies on a co-occurrence matrix. Pixel values that co-occur frequently in the image (i.e., inside textured regions) will have a high weight in the co-occurrence matrix.
Roy Josef Jevnisek, Shai Avidan
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Co‐occurrence patterns in diagnostic data [PDF]
Computational Intelligence, 2020 SummaryWe demonstrate how graph decomposition techniques can be employed for the visualization of hierarchical co‐occurrence patterns between medical data items. Our research is based on Gaifman graphs (a mathematical concept introduced in Logic), on specific variants of this concept, and on existing graph decomposition notions, specifically, graph ...
Marie Ely Piceno +2 more
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The co-occurrence of smoking and suicide
The British Journal of Psychiatry, 2020 SummaryThis article is an invited commentary on a recent article by Harrison et al. investigating the purported causal link between smoking behaviours and suicide attempts.
Jentien M. Vermeulen, Koen Bolhuis
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Co-occurrence of waking sources by category.
, 2022 Co-occurrence of waking sources by category.
Erin J. Wamsley (8447571)
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