Results 41 to 50 of about 139,450 (186)
Subspace Topologies in Central Extensions
Journal of Algebra, 2001 In 1993 \textit{P. H. Kropholler} and \textit{J. S. Wilson} constructed a countable torsion-free residually finite nilpotent group of class 2 and a finitely generated torsion-free residually finite centre-by-metabelian group, both of whose profinite completions contain an element of prime order [J. Pure Appl. Algebra 88, No.
openaire +1 more source
Steered coherence of a central two-qubit system coupled to an XY spin chain
Results in PhysicsWe investigate the average steered coherence (ASC) of a central two-qubit system coupled to an XY spin-chain environment. It is shown that there exists subspace in which the initial states are immune to this environment.
Xian-Zhe Duan, Ming-Liang Hu
doaj +1 more source
High-Dimensional Matched Subspace Detection When Data are Missing [PDF]
, 2010 We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, well-studied problem when the signal is completely observed. High- dimensional testing problems
Balzano, Laura +2 more
core +3 more sources
Complexity, 2017 We propose an expansion of multivariate time-series data into maximally independent source subspaces. The search is made among rotations of prewhitened data which maximize non-Gaussianity of candidate sources.
Carlos A. L. Pires, Abdel Hannachi
doaj +1 more source
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
openaire +1 more source
Hamiltonian simulation in the low-energy subspace
npj Quantum Information, 2021 We study the problem of simulating the dynamics of spin systems when the initial state is supported on a subspace of low energy of a Hamiltonian H. This is a central problem in physics with vast applications in many-body systems and beyond, where the ...
Burak Şahinoğlu, Rolando D. Somma
doaj +1 more source
Kernel dimension reduction in regression
, 2009 We present a new methodology for sufficient dimension reduction (SDR). Our methodology derives directly from the formulation of SDR in terms of the conditional independence of the covariate $X$ from the response $Y$, given the projection of $X$ on the ...
Bach, Francis R. +2 more
core +2 more sources
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.
Zeng, Peng, Zhu, Yu
openaire +1 more source
Unsupervised graph-based feature selection via subspace and pagerank centrality [PDF]
Expert Systems with Applications, 2018 Abstract Feature selection has become an indispensable part of intelligent systems, especially with the proliferation of high dimensional data. It identifies the subset of discriminative features leading to better learning performances, i.e., higher learning accuracy, lower computational cost and significant model interpretability.
Henni, Khadidja +2 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The classification of hyperspectral imagery (HSI) is an important part of HSI applications. The nearest-regularized subspace (NRS) is an effective method to classify HSI as one of the sparse representation methods.
Zhixin Li +4 more
doaj +1 more source