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Statistics and Computing, 2023 AbstractNowadays many real-world datasets can be considered as functional, in the sense that the processes which generate them are continuous. A fundamental property of this type of data is that in theory they belong to an infinite-dimensional space. Although in practice we usually receive finite observations, they are still high-dimensional and hence ...
Barroso Honrubia, María +3 more
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On Genetic Map Functions [PDF]
Genetics, 1996 Abstract Various genetic map functions have been proposed to infer the unobservable genetic distance between two loci from the observable recombination fraction between them. Some map functions were found to fit data better than others.
H, Zhao, T P, Speed
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Mapping Cognitive Function [PDF]
Neuroimaging Clinics of North America, 2007 Cognitive functions are fundamental to being human. Although tremendous progress has been made in the science of cognition using neuroimaging, the clinical applications of neuroimaging are just beginning to be realized. This article focuses on selected technologies, analysis techniques, and applications that have, or will soon have, direct clinical ...
Steven M, Stufflebeam, Bruce R, Rosen
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Casares’ map function: no need for a ‘corrected’ Haldane’s map function [PDF]
Genetica, 2008 A genetic map function M(d) = RF provides a mapping from the additive genetic distance d to the non-additive recombination fraction RF between a given pair of loci, where the recombination fraction is the proportion of gametes that are recombinant between the two loci.
Daniel E, Weeks +2 more
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2018 International Conference on 3D Vision (3DV), 2018 A classical approach for surface classification is to find a compact algebraic representation for each surface that would be similar for objects within the same class and preserve dissimilarities between classes. We introduce Self Functional Maps as a novel surface representation that satisfies these properties, translating the geometric problem of ...
Oshri Halimi, Ron Kimmel
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2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We present a new dataset, Functional Map of the World (fMoW), which aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich set of metadata features.
Gordon A. Christie +3 more
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Parking functions for mappings
Journal of Combinatorial Theory, Series A, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marie-Louise Lackner, Alois Panholzer
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CoRRComputing volumetric correspondences between 3D shapes is a prominent tool for medical and industrial applications. In this work, we pave the way for spectral volume mapping, extending for the first time the surface-based functional maps framework. We show that the eigenfunctions of the volumetric Laplace operator define a functional space that is ...
Filippo Maggioli +2 more
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Mapping Function from Dynamics: Future Challenges for Network-Based Models of Protein Structures. [PDF]
Front Mol Biosci, 2021 Pacini L +3 more
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Design and analysis considerations for utilizing a mapping function in a small sample, sequential, multiple assignment, randomized trials with continuous outcomes. [PDF]
Stat Med, 2021 Hartman H +3 more
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