Results 81 to 90 of about 100,154 (263)
Model-based Regularization for Video Super-Resolution [PDF]
, 2009 In this thesis, we reexamine the classical problem of video super-resolution, with an aim to reproduce fine edge/texture details of acquired digital videos. In general, the video super-resolution reconstruction is an ill-posed inverse problem, because of
Wang, Huazhong
core
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Iterative Regularization in Nonparametric Instrumental Regression [PDF]
We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
Van Bellegem, Sébastien +2 more
core +2 more sources
Hyperspectral Anomaly Detection Method Based on Low Rank Total Variation Regu-larization
Jisuanji kexue yu tansuo, 2020 Hyperspectral remote sensing technology provides abundant spectral information for exploring objects and supplies a better data source for anomaly detection.
XU Chao, ZHAN Tianming
doaj +1 more source
Predictive overfitting in immunological applications: Pitfalls and solutions
Human Vaccines & Immunotherapeutics, 2023 Overfitting describes the phenomenon where a highly predictive model on the training data generalizes poorly to future observations. It is a common concern when applying machine learning techniques to contemporary medical applications, such as predicting
Jeremy P. Gygi +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
, 2014 The stable solution of ill-posed non-linear operator equations in Banach space requires regularization. One important approach is based on Tikhonov regularization, in which case a one-parameter family of regularized solutions is obtained.
Anzengruber, Stephan W. +2 more
core +1 more source
Variational image registration using inhomogeneous regularization [PDF]
, 2014 We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Shenzhen Daxue xuebao. Ligong banTo address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM ...
LU Huihuang, ZOU Weidong, LI Yuxiang
doaj +1 more source