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An efficient Gauss–Newton algorithm for solving regularized total least squares problems
The total least squares (TLS) method is a well-known technique for solving an overdetermined linear system of equations A x ≈ b , that is appropriate...
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Revisiting Attributed Network Embedding: A GCN-Based Perspective
Attributed graph embedding, which learns vector representations from graph topology and node features, is a challenging task for graph analysis....
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Computing eigenpairs of Hermitian matrices in perfect Krylov subspaces
For computing the smallest eigenvalue and the corresponding eigenvector of a Hermitian matrix, by introducing a concept of perfect Krylov subspace,...
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Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition
In this paper, we propose a novel method called fine tuning dual streams deep network (FTDSDN) with multi-scale pyramid decision (MsPD) for solving...
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Discriminative Noise Robust Sparse Orthogonal Label Regression-Based Domain Adaptation
Domain adaptation ( DA ) aims to enable a learning model trained from a source domain to generalize well on a target domain, despite the mismatch of...
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A note on hybridization process applied on transformed double step size model
We introduce a hybrid gradient model for solving unconstrained optimization problems based on one specific accelerated gradient iteration. Having...
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Accelerated Computation of Eigenvectors
In Chapter 5, I discussed several adaptive algorithms for computing principal and minor eigenvectors of the online correlation matrix Ak∈ℜnXn from a...
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IRS-Aided Covert Wireless Communications with Delay Constraint
In this chapter, we examine the performance gain achieved by deploying an IRS in covert communications. To this end, we formulate the joint design of...
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A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems
Gradient Projection (GP) methods are a very popular tool to address box-constrained quadratic problems thanks to their simple implementation and low...
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A class of spectral conjugate gradient methods for Riemannian optimization
Spectral conjugate gradient (SCG) methods are combinations of spectral gradient method and conjugate gradient (CG) methods, which have been well...
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Training Artificial Neural Networks with Gradient and Coarse-Level Correction Schemes
A two-level learning scheme for multi-layer neural networks is presented. This scheme combines a standard gradient scheme with a two-level correction...
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Preconditioned Subspace Descent Methods for the Solution of Nonlinear Systems of Equations
Nonlinear least squares type iterative solver for f(x) = 0 is considered based on successive solution of orthogonal projections of the linearized...
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Physical Layer Secure Communications
The PLS technology is highly promising for implementing secure communication in wireless systems due to its advantages of easy deployment, low...
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A kinetic ensemble of the Alzheimer’s Aβ peptide
The conformational and thermodynamic properties of disordered proteins are commonly described in terms of structural ensembles and free energy...
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A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization
We introduce a family of weighted conjugate-gradient-type methods, for strictly convex quadratic functions, whose parameters are determined by a...
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Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis
Implementation of nonlinear flows by explicit schemes can be very convenient, due to their simplicity and low-computational cost per time step. A...
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Deflation of Periodic Orbits in Large-Scale Systems: Algorithm and Parallel Implementation
We consider a nonlinear autonomous large-scale dynamical system with a parameter. Such systems usually stem from the discretization of initial...
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Linear Models
Let \(\boldsymbol{x} = (x_1;x_2;\ldots ;x_d)\) be a sample described by...
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Video encryption based on hyperchaotic system
With the increasing popularity of multimedia data on the internet and our daily life, the way people get information is becoming more diverse, video...
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On condition numbers of the total least squares problem with linear equality constraint
This paper is devoted to condition numbers of the total least squares problem with linear equality constraint (TLSE). With novel limit techniques,...