Results 251 to 260 of about 1,155,613 (311)
Kernel mean matching enhances risk estimation under spatial distribution shifts. [PDF]
Serov E, Koldasbayeva D, Zaytsev A.
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Voxel-based spatial distribution of intracranial meningioma subtypes and their relationship to radiogenomic maps. [PDF]
Naros G +8 more
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Prevalence and spatial distribution characteristics of human brucellosis in Ningxia from 2010 to 2024. [PDF]
Duan H +9 more
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Investigating spatial distribution of kindergartens in Chinese cities: A spatial stratified heterogeneity approach. [PDF]
Zhang B, He S, Jiang L.
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Counterfactual Spatial Distributions [PDF]
ABSTRACTRecent contributions provide researchers with a useful toolbox to estimate counterfactual distributions of scalar random variables. These techniques have been widely applied in the literature. Typically, the dependent variable of interest has been a scalar and little consideration has been given to spatial factors.
Paul E. Carrillo, Jonathan Rothbaum
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On the Spatial Distribution of Fingerprint Singularities
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Fingerprint singularities play an important role in several fingerprint recognition and classification systems. Although some general relationships and constraints about the location of singularities in the different fingerprint classes are well known, to the best of our knowledge no statistical models have been developed until now.
CAPPELLI, RAFFAELE, MALTONI, DAVIDE
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From Semantics to Spatial Distribution
2000This work studies the notion of locality in the context of process specification. It relates naturally with other works where information about the localities of a program is obtained information from its description written down in a programming language.
Luis R. Sierra Abbate +2 more
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The spatial distribution of attention
Current Opinion in Psychology, 2019Understanding how spatial attention is distributed over space (i.e. the attentional window) is highly important for theoretical, methodological, as well as applied reasons. One fundamental challenge to the study of the attentional window is that most of our current knowledge is based on measuring distractors interference, or relying in some other way ...
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