Results 31 to 40 of about 468,748 (305)
Integration of Survey Data in R Based on Machine Learning [PDF]
Revista Română de Statistică, 2019 This work introduces a relatively new procedure for integrating social survey data through combined use of machine learning techniques and well-known statistical matching methods.
Mattia Spaziani +2 more
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Cognitive Research, 2022 Forensic science practitioners compare visual evidence samples (e.g. fingerprints) and decide if they originate from the same person or different people (i.e. fingerprint ‘matching’).
Bethany Growns +5 more
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Statistics notes: Matching [PDF]
BMJ, 1994 Vibrio species are Gram-negative rod-shaped bacteria that are ubiquitous and often highly motile in aqueous environments. Vibrio swimming motility is driven by a polar flagellum covered with a membranous sheath, but this sheathed flagellum is not well understood at the molecular level because of limited structural information.
J M Bland, D G Altman
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Camera focusing based on fringe pattern matching [PDF]
, 1997 A method of camera focusing based on fringe pattern matching is presented. In the method, the variance of the mismatch function is used as a focus measure.
Bryanston-Cross, P., Wang, Zuobin
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Optimal road matching by relaxation to min-cost network flow
International Journal of Applied Earth Observations and Geoinformation, 2022 Road matching is the prerequisite for integrating different data to obtain a complete, correct road network. The growth of multi-source data calls for the advancement of matching methods.
Hangbin Wu +6 more
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Image fusion via feature residual and statistical matching
IET Computer Vision, 2016 In view of the shortcoming of traditional image fusion based on discrete wavelet transform (DWT) with unclear textural information, an effective visible light and infrared image fusion algorithm via feature residual and statistical matching is proposed ...
Li‐juan Wang +3 more
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Matching Algorithm of Statistical Optimization Feature Based on Grid Method
Xibei Gongye Daxue Xuebao, 2019 The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.
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Mathematics, 2020 Online surveys are increasingly common in social and health studies, as they provide fast and inexpensive results in comparison to traditional ones. However, these surveys often work with biased samples, as the data collection is often non-probabilistic ...
Luis Castro-Martín +2 more
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Pattern Matching Statistics on Correlated Sources [PDF]
, 2006 In pattern matching algorithms, two characteristic parameters play an important role : the number of occurrences of a given pattern, and the number of positions where a pattern occurrence ends. Since there may exist many occurrences which end at the same position, these two parameters may differ in a significant way.
Bourdon, Jérémie, Vallée, Brigitte
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