Results 91 to 100 of about 32,711 (308)

Simplicial nonnegative matrix factorization

The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2013
Nonnegative matrix factorization (NMF) plays a crucial role in machine learning and data mining, especially for dimension reduction and component analysis. It is employed widely in different fields such as information retrieval, image processing, etc. After a decade of fast development, severe limitations still remained in NMFs methods including high ...
null Duy Khuong Nguyen, null Khoat Than, null Tu Bao Ho   +2 more
openaire   +1 more source

Is Simple Better? Revisiting Non-linear Matrix Factorization for Learning Incomplete Ratings

, 2018
Matrix factorization techniques have been widely used as a method for collaborative filtering for recommender systems. In recent times, different variants of deep learning algorithms have been explored in this setting to improve the task of making a ...
Antulov-Fantulin, Nino, Guo, Tian, Krishna, Vaibhav   +2 more
core   +1 more source

A highly accurate numerical method for solving boundary value problem of generalized Bagley‐Torvik equation

Mathematical Methods in the Applied Sciences, EarlyView.
A highly accurate numerical method is given for the solution of boundary value problem of generalized Bagley‐Torvik (BgT) equation with Caputo derivative of order 0<β<2$$ 0<\beta <2 $$ by using the collocation‐shooting method (C‐SM). The collocation solution is constructed in the space Sm+1(1)$$ {S}_{m+1}^{(1)} $$ as piecewise polynomials of degree at ...
Suzan Cival Buranay, Mtema James Chin, Nazim I. Mahmudov   +2 more
wiley   +1 more source

On Rationality of Nonnegative Matrix Factorization [PDF]

Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n × m matrix M into a product of a nonnegative n × d matrix W and a nonnegative d × m matrix H. NMF has a wide variety of applications, including bioinformatics, chemometrics, communication complexity, machine learning, polyhedral combinatorics, among many others ...
Chistikov, Dmitry, Kiefer, Stefan, Marušic, Ines, Shirmohammadi, Mahsa, Worrell, James   +4 more
openaire   +2 more sources

Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park, Eppu Manninen, Yihong Yang, Dan Benjamini   +3 more
wiley   +1 more source

Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization

Complex & Intelligent Systems
Community detection is an important method to analyze the characteristics and structure of community networks, which can excavate the potential links between nodes and further discover subgroups from complex networks.
Zigang Chen, Qi Xiao, Tao Leng, Zhenjiang Zhang, Ding Pan, Yuhong Liu, Xiaoyong Li   +6 more
doaj   +1 more source

Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation

IEEE Access, 2020
Nonnegative matrix factorization-based image representation algorithms have been widely applied to deal with high-dimensional data in the past few years.
Zhenqiu Shu, Zonghui Weng, Yunmeng Zhang, Cong-Zhe You, Zhen Liu   +4 more
doaj   +1 more source

Subset‐Row Inequalities and Unreachability in Path‐Based Formulations for Vehicle Routing and Scheduling Problems

Networks, EarlyView.
ABSTRACT This work considers branch‐price‐and‐cut algorithms for variants of the vehicle‐routing problem in which subset‐row inequalities (SRIs) are used to strengthen the linear relaxation. SRIs often help to substantially reduce the size of the branch‐and‐bound search tree.
Stefan Faldum, Timo Gschwind, Stefan Irnich   +2 more
wiley   +1 more source

Ranking Preserving Nonnegative Matrix Factorization [PDF]

, 2018
Nonnegative matrix factorization (NMF), a wellknown technique to find parts-based representations of nonnegative data, has been widely studied. In reality, ordinal relations often exist among data, such as data i is more related to j than to q. Such
Liu, W., Tian, Feng, Wang, Jing, Wang, X.   +3 more
core  

Relation of Bulk‐to‐Shear Loss Factors in Viscoelastic Auxetic Metamaterials

physica status solidi (b), EarlyView.
This article examines the dynamic behavior of isotropic auxetic viscoelastic materials, highlighting how negative Poisson's ratios affect energy dissipation, damping, and the interplay between bulk and shear moduli. By extending established viscoelastic theories to the auxetic range, it defines bound limits and underscores how dynamic Poisson's ratio ...
Simon Preston, Julián Londoño‐Monsalve, Ken E. Evans   +2 more
wiley   +1 more source