Results 151 to 160 of about 493,705 (320)
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Advanced Science, EarlyView.Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks [PDF]
, 2019 Peixiang Zhong, Di Wang, Chunyan Miao
openalex +1 more source
Advanced Science, EarlyView.This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Advanced Science, EarlyView.We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Regularization Using Noise Samples Identified by the Feature Norm for Face Recognition
IEEE AccessFace recognition involves comparing two facial images to determine whether they represent the same individual. This task can be applied in a variety of environments, including uncontrolled settings such as surveillance systems, where image quality can ...
Taeseong Gim, Kyung-Ah Sohn
doaj +1 more source
$E_n$-regularity implies $E_{n-1}$-regularity
Documenta Mathematica, 2014 Vorst and Dayton-Weibel proved that K_n -regularity implies K_{n-1} -regularity.
openaire +2 more sources
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
Advanced Science, EarlyView.The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
REMHU: Revista Interdisciplinar da Mobilidade HumanaResumen El artículo aborda el modo en el que en torno a la implementación de programas de documentación para migrantes y a la posibilidad del acceso de las personas a los “papeles” se constituyen procesos políticos que transforman el lugar de los/as ...
Federico Rodrigo
doaj +1 more source