Search
Search Results
-
Kernel Regularization Based Volterra Series Identification Method for Time-delayed Nonlinear Systems with Unknown Structure
This paper develops a kernel regularization based Adam algorithm for nonlinear systems with unknown structure and time-delay by using self-organized...
-
A Time Regularization Scheme for Spacecraft Trajectories Subject to Multi-Body Gravity
A time regularization scheme is introduced that facilitates trajectory optimization in multi-body regimes. The time transformation function allows...
-
Regularization of the Final Value Problem for the Time-Fractional Diffusion Equation
We consider the backward problem of reconstructing the initial condition of a nonhomogeneous time-fractional diffusion equation from final...
-
Regularization
In this chapter, we discuss extensions of the regression models introduced in Chap. 11 . Despite the...
-
2D Time-Difference Electrical Impedance Tomography Image Reconstruction in a Head Model with Regularization by Denoising
Time-Difference Electrical Impedance Tomography (TDEIT) is an imaging technique to visualize resistivity changes over time in a region of interest....
-
Density Based Regularization Model for Effective Forecasting of Stage Transition in Chronic Kidney Disease
The primary objective of this research is to develop a density-based regularization model with error minimization for effective forecasting of...
-
Joint input–output identification of unstable systems with kernel regularization
This paper discusses closed-loop identification of unstable systems. In particular, we first apply the joint input–output identification method and...
-
A Voigt regularization of the thermally coupled magnetohydrodynamic flow
We prove existence and uniqueness of weak solution to a Voigt regularization of the three-dimensional thermally coupled MHD equations. Moreover, for...
-
A simple boundary condition regularization strategy for image velocimetry-based pressure field reconstruction
We propose a simple boundary condition regularization strategy to reduce error propagation in pressure field reconstruction from corrupted image...
-
Privileged Learning Using Regularization in the Problem of Evaluating the Human Posture
AbstractThe problem of evaluating a person’s posture from video data is solved. Various key points of the human body are analyzed. We study the...
-
Uniqueness and Stability of Solving the Inverse Problem of Thermoelasticity. Part 2. Regularization
Based on the analysis of direct variational methods used in the Hilbert space — the regularization method and the iterative regularization method —...
-
Damage identification based on topology optimization and Lasso regularization
In this paper, we present a damage identification method for small damages based on topology optimization and Lasso regularization. In particular,...
-
Hybrid regularization inspired by total variation and deep denoiser prior for image restoration
Image restoration is a fundamental problem in computer vision, with the goal of restoring high-quality images from degraded low-quality observation...
-
Robust graph neural networks with Dirichlet regularization and residual connection
Graph Neural Network (GNN) has attracted considerable research interest in various graph data modeling tasks. Most GNNs require efficient and...
-
SEBR: Scharr Edge-Based Regularization Method for Blind Image Deblurring
The main objective of blind image deblurring is to restore a high-quality sharp image from a blurry input through estimation of unknown blur kernel...
-
A numerical study on the visco-plastic regularization of a rate-independent strain gradient crystal plasticity formulation
A common practice in computational investigations of rate-independent plasticity is to approximate the rate-independent behavior by a visco-plastic...
-
Multi-class feature selection via Sparse Softmax with a discriminative regularization
Feature selection plays a critical role in many machine learning applications as it effectively addresses the challenges posed by “the curse of...
-
Frame Regularization of a Convolutional Neural Network in Image-Classification Problems
AbstractThe problem of regularization of the parameters of a neural network is considered in order to increase the efficiency of using their...
-
Saturation-value based higher-order regularization for color image restoration
In this article, we introduce saturation-value based higher-order (SV-HO) regularizers and propose several color image restoration models using these...
-
A Bayesian regularization network approach to thermal distortion control in 3D printing
In this work, a Bayesian Regularization Network based Geometric Deviation Control (BRN-GDC) algorithm is developed to mitigate thermal distortion in...
