Results 21 to 30 of about 6,086,701 (288)
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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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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GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference [PDF]
, 2007 In this paper, we derive and assess decision schemes to discriminate, resorting to an array of sensors, between the H0 hypothesis that data under test contain disturbance only (i.e., noise plus interference) and the H1 hypothesis that they also contain ...
Ricci, Giuseppe +12 more
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An integral transform method for estimating the central mean and central subspaces
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peng Zeng, Yu Zhu
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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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An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices
Discrete Analysis, 2023 An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices, Discrete Analysis 2023:3, 9 pp. There are many situations, often of great practical importance, where one would like to obtain a good approximation for a mathematical ...
Jaroslaw Blasiok +4 more
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Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Journal of Causal Inference, 2019 Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
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On Estimation Efficiency of the Central Mean Subspace
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryWe investigate the estimation efficiency of the central mean subspace in the framework of sufficient dimension reduction. We derive the semiparametric efficient score and study its practical applicability. Despite the difficulty caused by the potential high dimension issue in the variance component, we show that locally efficient estimators can ...
Yanyuan Ma, Liping Zhu
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