Results 11 to 20 of about 940,098 (264)
Vector co‐occurrence morphological edge detection for colour image
IET Image Processing, 2021 Morphological edge detection is a principal component in pattern recognition and machine vision. Traditional edge detection operators only take pixel mutual into consideration.
Ying Lu +5 more
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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 ...
Piceno, Marie Ely +2 more
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Network Inference From Co-Occurrences [PDF]
IEEE Transactions on Information Theory, 2008 The recovery of network structure from experimental data is a basic and fundamental problem. Unfortunately, experimental data often do not directly reveal structure due to inherent limitations such as imprecision in timing or other observation mechanisms.
Rabbat, Michael +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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Skin Classification Based on Co-occurance Matrix [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In this paper an algorithm will be achieved to look for the properties of the skin for group then try to classify the skin of the group depending on the four properties (energy, contrast, correlation and homogeneity).
khalil Alsaif, Shaimaa Mohi Al-Deen
doaj +1 more source
Proposed Method for Tracking Moon Phases using the Co-Occurrence Matrix [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 The study Proposes a method to detect the appearance of moon phase in a video serial (AVI) . The proposed algorithm of photographic and videoing treatment presents a method to trace the appearance of moon phases through the analysis of image texture ...
Abeer Thanoon
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Psoriasis and leprosy: A rare co-occurence
Muller Journal of Medical Sciences and Research, 2016 Occurence of psoriasis and leprosy in a single patient is extremely rare with very few cases reported. Better knowledge of the pathogenesis of these two diseases has led to some understanding of this rare association. We report such an association in one
Mayur R Bhobe +3 more
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Lean Management a Co-occurrence Analysis
WPOM : Working Papers on Operations Management, 2023 The objective of this work is to identify and visualize the intellectual structure of the Lean Manufacturing research field. To achieve this, a bibliometric analysis will be carried out that combines a performance and co-occurrence analysis, to identify ...
Vanessa Rodríguez Cornejo +1 more
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CO-OCCURRENCE NETWORK OF REUTERS NEWS [PDF]
International Journal of Modern Physics C, 2008 Networks describe various complex natural systems including social systems. We investigate the social network of co-occurrence in Reuters-21578 corpus, which consists of news articles that appeared in the Reuters newswire in 1987. People are represented as vertices and two persons are connected if they co-occur in the same article.
Özgür, Arzucan +2 more
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Visualising text co-occurrence networks [PDF]
, 2011 We present a tool for automatically generating a visual summary of unstructured text data retrieved from documents, web sites or social media feeds. Unlike tools such as word clouds, we are able to visualise structures and topic relationships occurring ...
A.N. Whitehead +29 more
core +2 more sources