Results 141 to 150 of about 1,042 (247)
A structurally localized ensemble Kalman filtering approach
Quarterly Journal of the Royal Meteorological Society, EarlyView.We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Measurable Choice and the Invariant Subspace Problem
, 1974 In [1], J. Dyer, A. Pedersen and P. Porcelli announced that an affirmative answer to the invariant subspace problem would imply that every reductive operator is normal.
Azoff, Edward +2 more
core
A modified block Newton iteration for approximating an invariant subspace of a symmetric matrix
, 1998 In this paper we propose a Modified Block Newton Method (MBNM) for approximating an invariant subspace J and the corresponding eigenvalues of a symmetric matrix A.
Lösche, Ralf +2 more
core +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Quarterly Journal of the Royal Meteorological Society, EarlyView.Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Upon establishing multiple response optimization (MRO) or dual response optimization (DRO), response surface methodology (RSM) acts as a conventional model‐driven framework for optimizing small‐sized experimental data to derive an input condition in which a decent response is expected.
Dong‐Hyun Koo +2 more
wiley +1 more source
Structured low-rank approximation and its applications
, 2008 Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equivalent to the existence of a linear time-invariant system that fits the data ...
Markovsky, Ivan
core
Structural Concrete, EarlyView.Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella +2 more
wiley +1 more source
A wavelet subspace method for real-time face tracking
, 2004 . In this article we present a new method for visual face tracking that is carried out in wavelet subspace. Firstly, a wavelet representation for the face template is created, which spans a low dimensional subspace of the image space.
Rogerio S. Feris, Volker Krueger
core
Domain generalization for sequential data via invariant subspace recovery [PDF]
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo termsThe student, Ashutosh Sharma, accepted the attached license on 2025-05-01 at 05:39.The student, Ashutosh ...
Sharma, Ashutosh
core
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source