Results 71 to 80 of about 139,450 (186)

Optimal solutions to matrix-valued Nehari problems and related limit theorems

, 2011
In a 1990 paper Helton and Young showed that under certain conditions the optimal solution of the Nehari problem corresponding to a finite rank Hankel operator with scalar entries can be efficiently approximated by certain functions defined in terms of ...
AE Frazho, AE Frazho, BA Francis, C Foias, C Foias, C Foias, D Sarason, H Bart, I Gohberg, I Gohberg, JW Helton, MJ Corless, S Horst ter, S Horst ter, VM Adamjan, VV Peller   +15 more
core   +2 more sources

Fragmentation, Zero Modes, and Collective Bound States in Constrained Models

PRX Quantum
Kinetically constrained models were originally introduced to capture slow relaxation in glassy systems, where dynamics are hindered by local constraints instead of energy barriers.
Eloi Nicolau, Marko Ljubotina, Maksym Serbyn   +2 more
doaj   +1 more source

Dimension reduction in regression estimation with nearest neighbor

, 2010
International audienceIn regression with a high-dimensional predictor vector, dimension reduction methods aim at replacing the predictor by a lower dimensional version without loss of information on the regression.
Cadre, Benoît, Dong, Qian
core   +1 more source

Subspaces spanned by eigenforms with nonvanishing twisted central L -values

Canadian Journal of Mathematics
Abstract In this article, we construct explicit spanning sets for two spaces of modular forms. One is the subspace generated by integral-weight Hecke eigenforms with nonvanishing quadratic twisted central L -values.
June Kayath, Connor Lane, Ben Neifeld, Tianyu Ni, Hui Xue   +4 more
openaire   +2 more sources

Test function: A new approach for covering the central subspace

, 2011
In this paper we offer a complete methodology for sufficient dimension reduction called the test function (TF). TF provides a new family of methods for the estimation of the central subspace (CS) based on the introduction of a nonlinear transformation of the response.
Portier, François, Delyon, Bernard
openaire   +2 more sources

Successive direction extraction for estimating the central subspace in a multiple-index regression

Journal of Multivariate Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin, Xiangrong, Li, Bing, Cook, R. Dennis   +2 more
openaire   +1 more source

Stochastic hierarchical data-driven optimization: application to plasma-surface kinetics

Machine Learning: Science and Technology
This work introduces a stochastic hierarchical optimization framework inspired by sloppy model theory for the efficient calibration of physical models. Central to this method is the use of a reduced Hessian approximation, which identifies and targets the
José Afonso, Vasco Guerra, Pedro Viegas
doaj   +1 more source

Modeling consonant-vowel coarticulation for articulatory speech synthesis.

PLoS ONE, 2013
A central challenge for articulatory speech synthesis is the simulation of realistic articulatory movements, which is critical for the generation of highly natural and intelligible speech.
Peter Birkholz
doaj   +1 more source

Dynamic determinants of the uncontrolled manifold during human quiet stance

Frontiers in Human Neuroscience, 2016
Human postural sway during stance arises from coordinated multi-joint movements. Thus, a sway trajectory represented by a time-varying postural vector in the multiple-joint-angle-space tends to be constrained to a low-dimensional subspace.
Yasuyuki Suzuki, Hiroki Morimoto, Ken Kiyono, Pietro Morasso, Taishin Nomura   +4 more
doaj   +1 more source

DOA Estimation based on the Optimized Coprime Array Configuration

IEEE Access, 2019
In this paper, a direction-of-arrival (DOA) estimation based on the optimized coprime array (OpCA) configuration is proposed. The proposed array, utilizing the two constituting subarrays N-array and M-array of the coprime array, where their sensors are N
Ahmed Mohammed Ahmed Shaalan, Xiangyu Yu
doaj   +1 more source