Results 161 to 170 of about 129,126 (304)
Adaptive blind image deblurring and denoising
Scandinavian Journal of Statistics, EarlyView.Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang +2 more
wiley +1 more source
A Fourier restriction theorem based on convolution powers [PDF]
, 2012 Xianghong Chen
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This is not normal! (Re‐) Evaluating the lower n$$ n $$ guidelines for regression analysis
Teaching Statistics, EarlyView.Abstract The rule of thumb that a sample size of n≥30$$ n\ge 30 $$ is sufficient for valid regression analysis is often cited but rarely scrutinized. This paper evaluates the minimum number of observations required by examining how distributional characteristics like skewness and kurtosis affect the convergence of estimated t‐statistics to the t ...
David Randahl
wiley +1 more source
The intersection convolution of relations and the Hahn-Banach type theorems [PDF]
, 1998 Árpád Száz
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Expert Systems, Volume 43, Issue 3, March 2026.ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
A quantum analogue of Hunt's representation theorem for the generator of convolution semigroups on Lie groups [PDF]
, 1991 Alberto Barchielli, G. Lupieri
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A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes
Journal of Time Series Analysis, Volume 47, Issue 2, Page 304-320, March 2026.ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley +1 more source
Fluctuations Around the Mean-Field Limit for Attractive Riesz Potentials in the Moderate Regime. [PDF]
Arch Ration Mech AnalChen L, Holzinger A, Jüngel A.
europepmc +1 more source
Review: Harald Bergstrom, Limit Theorems for Convolutions [PDF]
, 1965 D. A. Darling
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