Results 221 to 230 of about 1,101,519 (253)

Subspace clustering based on latent low rank representation with Frobenius norm minimization

Neurocomputing, 2018
Yu Song, Yiquan Wu
exaly   +2 more sources

Secure Fingerprint Recognition Based on Frobenius Norm

2012 International Conference on Computer Science and Electronics Engineering, 2012
Aiming at the variance of fingerprint feature in multi-capturing and the security of fingerprint template, research on secure fingerprint recognition system based on Frobenius norm is given in this paper. Frobenius norm can show the main information in region of interest (ROI).
Weizhou Zhao, Hui Zhang
semanticscholar   +2 more sources

Derivative-Free Optimization with Transformed Objective Functions and the Algorithm Based on the Least Frobenius Norm Updating Quadratic Model

Journal of the Operations Research Society of China, 2023
Derivative-free optimization (DFO) problems are optimization problems where the derivative information is unavailable. The least Frobenius norm updating quadratic interpolation model function is one of the essential under-determined model functions for ...
Pengcheng Xie, Ya-Xiang Yuan
semanticscholar   +1 more source

MUSIC With Capped Frobenius Norm: Efficient Robust Direction-of-Arrival Estimator

IEEE Transactions on Aerospace and Electronic Systems, 2023
Direction-of-arrival (DOA) estimation is a frequent need in the field of array signal processing. While many conventional algorithms achieve excellent performance in Gaussian noise, they are vulnerable to impulsive noise. Although several approaches have
Xiao Peng Li, Zhaofeng Liu, Zhanglei Shi, H. So   +3 more
semanticscholar   +1 more source

High Accuracy and Low Complexity Lidar Place Recognition Using Unitary Invariant Frobenius Norm

IEEE Sensors Journal, 2023
Simultaneous localization and mapping (SLAM) is used in solving the problems of localization, navigation, and map construction for autonomous vehicles moving in unknown environments.
Wuqi Wang, Haigen Min, Xia Wu, Xinmeng Hou, Yao Li, Xiangmo Zhao   +5 more
semanticscholar   +1 more source

Frobenius Norm-Based Unbiased Finite Impulse Response Fusion Filtering for Wireless Sensor Networks

IEEE transactions on industrial electronics (1982. Print), 2022
This article presents a new approach to designing the Frobenius norm-based weighted unbiased finite impulse response (FIR) fusion filter for wireless sensor networks.
S. You, C. Ahn, Shunyi Zhao, Y. Shmaliy
semanticscholar   +1 more source

Frobenius Norm-Based IRS Selection Algorithm in Parallel Multi-IRS-assisted Spatial Modulation

2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022
Intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) has recently been considered as a prospective candidate for the future 6G wireless systems.
Taissir Y. Elganimi, Khaled Maaiuf Rabie, B. Elhalawany   +2 more
semanticscholar   +1 more source

Model identification via total Frobenius norm of multivariate spectra

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2021
We study the integral of the Frobenius norm as a measure of the discrepancy between two multivariate spectra. Such a measure can be used to fit time series models, and ensures proximity between model and process at all frequencies of the spectral density—
T. McElroy, A. Roy
semanticscholar   +1 more source

Is the Frobenius matrix norm induced?

IEEE Transactions on Automatic Control, 1995
Remind that the Frobenius norm of the matrix \(A\) with the items \(A_{\mu\nu}\) is \((\sum_\mu \sum_nu|A_{\mu\nu}|^2)^{1/2}\). From the authors' abstract: ``using the notion of dual norms we show that, up to a scalar multiple, the maximum singular value is the only unitarily invariant induced norm. As a special case of this result, it follows that the
VijaySekhar Chellaboina, Wassim M. Haddad 0001   +1 more
openaire   +2 more sources

Frobenius norm minimization and probing for preconditioning

International Journal of Computer Mathematics, 2007
In this paper we introduce a new method for defining preconditioners for the iterative solution of a system of linear equations. By generalizing the class of modified preconditioners (e.g. MILU), the interface probing, and the class of preconditioners related to the Frobenius norm minimization (e.g.
T. Huckle, A. Kallischko
openaire   +2 more sources