Results 181 to 190 of about 246 (200)
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Subspace Controllability of Quantum Ising Spin Networks with a Central Spin
2019 18th European Control Conference (ECC), 2019We consider a class of spin networks where each spin in a certain set interacts via Ising coupling with a single central spin. This is a common situation for instance in NV centers in diamonds. Due to the permutation symmetries of the network, the system is not globally controllable but it displays invariant subspaces of the underlying Hilbert space ...
Francesca Albertini +1 more
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Partial central subspace and sliced average variance estimation
Journal of Statistical Planning and Inference, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
R Dennis Cook, Sanford Weisberg
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Using intraslice covariances for improved estimation of the central subspace in regression
Biometrika, 2006SUMMARY Popular methods for estimating the central subspace in regression require slicing a continuous response. However, slicing can result in loss of information and in some cases that loss can be substantial. We use intraslice covariances to construct improved inference methods for the central subspace.
R Dennis Cook, Cook R Dennis
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Subspace Optimization in Centralized Noncoherent MIMO Radar
IEEE Transactions on Aerospace and Electronic Systems, 2011We consider the problem of subspace optimization for centralized noncoherent multiple input-multiple output (MIMO) radar based on various measures such as capacity, diversity, and probability of detection. In subspace centralized noncoherent MIMO radar (SC-MIMO), a subset of stations is selected based on channel knowledge or channel statistics to ...
Thomas G. Pratt +3 more
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Centralized joint sparse representation for multi-view subspace clustering
Journal of Intelligent & Fuzzy Systems, 2020Multi-view subspace clustering arises in many computer visional tasks such as object recognition and image segmentation. The basic idea is to measure the same instance with multiple views. In this paper, we proposed two centralized joint sparse representation models, namely, Centralized Global Joint Sparse Representation (CGJSR) and Centralized Local ...
Mengying Xie, Xiaolan Liu 0003, Gan Pan
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Estimating central subspaces via inverse third moments
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Xiangrong, Cook, R. Dennis
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Exploring central subspace via contour regression
Journal of the Korean Statistical Society, 2013Abstract Contour regression, a method for estimating the central subspace in regression, is based on estimating contour directions of small variation in the response. These directions span the orthogonal complement of the central subspace and can be extracted according to two measures of variation in the response: simple and general contour ...
Hakbae Lee, Pilkeun Choi
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Manuscripta Mathematica, 2011
A composition algebra is a (non-associative) algebra \((C, \ast )\) over a field \(F\), endowed with a non-degenerate quadratic ``norm form'' \(N: C \to F\), such that \(N(a \ast b) = N(a)N(b)\), \(a,b\in C\). Two special classes of these algebras have been fully classified.
Matzri, Eliyahu, Vishne, Uzi
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A composition algebra is a (non-associative) algebra \((C, \ast )\) over a field \(F\), endowed with a non-degenerate quadratic ``norm form'' \(N: C \to F\), such that \(N(a \ast b) = N(a)N(b)\), \(a,b\in C\). Two special classes of these algebras have been fully classified.
Matzri, Eliyahu, Vishne, Uzi
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Fused Estimators of the Central Subspace in Sufficient Dimension Reduction
Journal of the American Statistical Association, 2014When studying the regression of a univariate variable Y on a vector x of predictors, most existing sufficient dimension-reduction (SDR) methods require the construction of slices of Y to estimate moments of the conditional distribution of X given Y. But there is no widely accepted method for choosing the number of slices, while a poorly chosen slicing ...
R. Dennis Cook, Xin Zhang
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