Results 11 to 20 of about 246 (200)
Central subspaces review: methods and applications
Statistics Surveys, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodrigues, SA, Huggins, R, Liquet, B
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Statistical multi-level shape models for scalable modeling of multi-organ anatomies
Frontiers in Bioengineering and Biotechnology, 2023 Statistical shape modeling is an indispensable tool in the quantitative analysis of anatomies. Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the learning of population-level shape representation from medical imaging data
Nawazish Khan +11 more
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Central quantile subspace [PDF]
Statistics and Computing, 2019 Quantile regression (QR) is becoming increasingly popular due to its relevance in many scientific investigations. There is a great amount of work about linear and nonlinear QR models. Specifically, nonparametric estimation of the conditional quantiles received particular attention, due to its model flexibility.
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Central Subspaces of Banach Spaces
Journal of Approximation Theory, 2000 Let \(X\) be a Banach space. A subspace \(Y \subset X\) is called a central subspace (\(C\)-subspace) of \(X\) if every finite family of closed balls with centers in \(Y\) that intersects in \(X\) also intersects in \(Y\). In particular \(X\) is said to be generalized center (GC) if and only if \(X\) is a \(C\)-subspace of \(X^{**}\).
Bandyopadhyay, Pradipta, Rao, T.S.S.R.K.
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Combined central and subspace clustering for computer vision applications [PDF]
Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006 Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many practical scenarios, e.g., when data points are close to the intersection of two subspaces or when two cluster centers in different subspaces are spatially close. In this paper, we
Le Lu 0001, René Vidal
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Intersection Properties of Balls in Banach Spaces
Journal of Function Spaces and Applications, 2013 We introduce a weaker notion of central subspace called almost central subspace, and we study Banach spaces that belong to the class (GC), introduced by Veselý (1997). In particular, we prove that if is an almost central subspace of a Banach space such
C. R. Jayanarayanan
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The Dual Central Subspaces in dimension reduction
Journal of Multivariate Analysis, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ross Iaci, Xiangrong Yin, Lixing Zhu
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Symbol p-algebras of prime degree and their p-central subspaces [PDF]
Archiv der Mathematik, 2016 We prove that the maximal dimension of a $p$-central subspace of the generic symbol $p$-algebra of prime degree $p$ is $p+1$. We do it by proving the following number theoretic fact: let $\{s_1,\dots,s_{p+1}\}$ be $p+1$ distinct nonzero elements in the additive group $G=(\mathbb{Z}/p \mathbb{Z}) \times (\mathbb{Z}/p \mathbb{Z})$; then every nonzero ...
Adam Chapman, Michael Chapman
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Applied Sciences, 2020 To interpret the nonlinear system identification of multi-degree-of-freedom vibrating structures with freeplay, an estimation procedure based on subspace method in time domain is developed in this paper.
Sun Yukai +3 more
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Machine Learning Techniques to Map the Impact of Urban Heat Island: Investigating the City of Jeddah
Land, 2023 Over the last decades, most agricultural land has been converted into residential colonies to accommodate the rapid population expansion. Population growth and urbanization result in negative consequences on the environment.
Abdullah Addas
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