Results 131 to 140 of about 49,338 (223)
Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2947-2962, May 2026.ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park +3 more
wiley +1 more source
An Adaptive Sparse Subspace Clustering for Cell Type Identification. [PDF]
Front Genet, 2020 Zheng R +5 more
europepmc +1 more source
International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 492-509, April 2026.This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley +1 more source
Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, subspace clustering has become increasingly popular and achieved great success in band selection (BS) of hyperspectral imagery. However, current subspace clustering approaches are mostly insufficient in capturing the fine spatial ...
Yujie Guo +4 more
doaj +1 more source
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. [PDF]
Sensors (Basel), 2020 Zhang P +6 more
europepmc +1 more source
, 2012 Subspace clustering overcomes the curse of dimensionality that traditional clustering suffered, by finding groups of objects that are homogeneous in subspaces of the data, instead of the full space. Research on basic subspace clustering over the past decade primary focuses on finding groups of objects that are closed together in subspaces of 2D data ...
openaire +2 more sources
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm. [PDF]
Comput Math Methods Med, 2020 Liu L, Kuang L, Ji Y.
europepmc +1 more source
Testing Hypotheses of Covariate Effects on Topics of Discourse
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 2, April 2026.ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley +1 more source
Anaesthesia, Volume 81, Issue 4, Page 500-512, April 2026.Summary Introduction The enhanced care model of peri‐operative care has evolved to meet increasing surgical demand, aiming to relieve pressure on critical care and prevent unnecessary cancellation of surgery. Despite widespread adoption of these facilities in the UK, no resources currently describe the national landscape of enhanced care or the ...
Christopher Oddy +330 more
wiley +1 more source