Results 171 to 180 of about 63,696 (324)
Single image super-resolution via an iterative reproducing kernel Hilbert space method. [PDF]
Deng LJ, Guo W, Huang TZ.
europepmc +1 more source
Reproducing Kernels and Principal Functions [PDF]
openaire +1 more source
Inequalities for reproducing Kernel spaces [PDF]
openaire +3 more sources
An integrated strategy combining a mitochondria‐targeted fluorescent probe set and an AI framework enables simultaneous analysis of mitochondrial morphology and function at the single organelle level. By fusing multi‐parametric features, machine learning classification accurately distinguishes individual mitochondria under hypoxia‐related conditions ...
Yang Ding +9 more
wiley +1 more source
On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces [PDF]
Vladimir Vovk
openalex +1 more source
Reservoir computing in the physical domain promises an alternative, more energy‐efficient approach to machine learning. However, the correlation between mechanical design and computing power remains elusive. This study sheds light on this gap by repurposing a meta‐stable modular origami manipulator into an adaptive computing kernel that can perform ...
Jun Wang, Suyi Li
wiley +1 more source
Inequalities for differentiable reproducing kernels and an application to positive integral operators [PDF]
Jorge Buescu, A. C. Paixão
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Reproducing Kernels and Beurling's Theorem [PDF]
openaire +2 more sources
Aging‐Induced Ductile‐Brittle‐Ductile Transition in High‐Entropy Alloys and its Implications
Local chemical orders (LCOs) and phase boundary (PB) engineering are key strategies for strengthening high‐entropy alloys (HEAs). However, excessive ordering induces severely localized deformation and high‐index jagged PBs hinder dislocation transmission, both impairing ductility.
Qianning Dai +9 more
wiley +1 more source
Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography. [PDF]
Tan Y +5 more
europepmc +1 more source

