Results 11 to 20 of about 10,590 (247)
Dimension reduction with expectation of conditional difference measure
Statistical Theory and Related Fields, 2023 In this article, we introduce a flexible model-free approach to sufficient dimension reduction analysis using the expectation of conditional difference measure.
Wenhui Sheng, Qingcong Yuan
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A local Wheeler-DeWitt measure for the string landscape
Nuclear Physics B, 2023 According to the ‘Cosmological Central Dogma’, de Sitter space can be viewed as a quantum mechanical system with a finite number of degrees of freedom, set by the horizon area.
Bjoern Friedrich +4 more
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A Multiple Subspaces-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data
ISPRS International Journal of Geo-Information, 2021 Analyzing the urban spatial structure of a city is a core topic within urban geographical information science that has the ability to assist urban planning, site selection, location recommendation, etc.
Jiawei Zhu +6 more
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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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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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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 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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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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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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