Results 241 to 250 of about 2,550,298 (280)

Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization

IEEE Signal Processing Magazine, 2018
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative filtering, video surveillance, and medical imaging to dimensionality reduction and adaptive filtering.
Yudong Chen, Yuejie Chi
semanticscholar   +1 more source

Reconstruction of PET Images with a Compressed Monte Carlo Based System Matrix - a Comparison to Other Monte Carlo Based Algorithms

IEEE Nuclear Science Symposium Conference Record, 2005, 2006
A new method to compress the system matrix of a PET scanner calculated by Monte Carlo (MC) simulations is introduced. The proposed method reduces the size of the matrix drastically and allows a considerable reduction in the number of simulated particles.
N. Rehfeld, M. Fippel, M. Alber
openaire   +1 more source

Discriminative subspace matrix factorization for multiview data clustering

Pattern Recognition, 2021
In a real-world scenario, an object is easily considered as features combined by multiple views in reality. Thus, multiview features can be encoded into a unified and discriminative framework to achieve satisfactory clustering performance.
Jiaqi Ma, Yipeng Zhang, L. Zhang
semanticscholar   +1 more source

Image encryption algorithm for synchronously updating Boolean networks based on matrix semi-tensor product theory

Information Sciences, 2020
This paper studies chaotic image encryption technology and an application of matrix semi-tensor product theory, and a Boolean network encryption algorithm for a synchronous update process is proposed. A 2D-LASM chaotic system is used to generate a random
Xing-yuan Wang, Suo Gao
semanticscholar   +1 more source

Image encryption algorithm based on the matrix semi-tensor product with a compound secret key produced by a Boolean network

Information Sciences, 2020
In this paper, a chaotic image encryption algorithm based on the matrix semi-tensor product (STP) with a compound secret key is designed. First, a new scrambling method is designed. The pixels of the initial plaintext image are randomly divided into four
Xing-yuan Wang, Suo Gao
semanticscholar   +1 more source

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

Knowledge-Based Systems, 2020
This research’s genesis is in two aspects: first, a guaranteed solution for mitigating the grey wolf optimizer’s (GWO) defects and deficiencies. Second, we provide new open-minding insights and deep views about metaheuristic algorithms.
Jiao Hu, Huiling Chen, A. Heidari, Mingjing Wang, Xiaoqin Zhang, Ying Chen, Zhifang Pan   +6 more
semanticscholar   +1 more source

Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms

Fuzzy Sets Syst., 2019
Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers are utilized to represent human judgments more realistically.
Faran Ahmed, K. Kilic
semanticscholar   +1 more source

The university of Florida sparse matrix collection

TOMS, 2011
T. Davis, Yifan Hu
semanticscholar   +1 more source

A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix

Cluster Computing, 2021
K. Berahmand, Mehrnoush Mohammadi, A. Faroughi, Rojiar Pir Mohammadiani   +3 more
semanticscholar   +1 more source

Matrix Algorithms for Modeling Acoustic Waves in Piezoelectric Multilayers

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2007
E. L. Tan
semanticscholar   +1 more source