Results 61 to 70 of about 137,800 (236)
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization
A novel approach to Boolean matrix factorization (BMF) is presented. Instead of solving the BMF problem directly, this approach solves a nonnegative optimization problem with an additional constraint over an auxiliary matrix whose Boolean structure is ...
Duc P. Truong+3 more
doaj +1 more source
Dynamics of products of nonnegative matrices
The aim of this manuscript is to understand the dynamics of products of nonnegative matrices. We extend a well known consequence of the Perron-Frobenius theorem on the periodic points of a nonnegative matrix to products of finitely many nonnegative ...
S. Jayaraman+2 more
doaj
Online Nonnegative Matrix Factorization With Outliers [PDF]
We propose a unified and systematic framework for performing online nonnegative matrix factorization in the presence of outliers. Our framework is particularly suited to large-scale data. We propose two solvers based on projected gradient descent and the alternating direction method of multipliers.
Renbo Zhao, Vincent Y. F. Tan
openaire +4 more sources
Tight Semi-nonnegative Matrix Factorization [PDF]
The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization. A multi-objective optimization problem finds conical combinations of templates that approximate a given data ...
David W. Dreisigmeyer+1 more
openaire +3 more sources
Multi‐view subspace clustering with incomplete graph information
Abstract The core of multi‐view clustering is how to exploit the shared and specific information of multi‐view data properly. The data missing and incompleteness bring great challenges to multi‐view clustering. In this paper, we propose an innovative multi‐view subspace clustering method with incomplete graph information, so‐called incomplete multiple ...
Xiaxia He+5 more
wiley +1 more source
Heuristics for exact nonnegative matrix factorization [PDF]
32 pages, 2 figures, 16 ...
Arnaud Vandaele+3 more
openaire +5 more sources
Automatic Exposure Volumetric Additive Manufacturing
Tomographic volumetric additive manufacturing (VAM) is resin‐based 3D printing technology, where objects are printed in seconds using volumetric light patterning. Although fast, tomographic VAM struggles to produce repeatable and accurate prints. This work demonstrates an automatic exposure method for tomographic VAM, resulting in commercial‐grade ...
Antony Orth+10 more
wiley +1 more source
Self‐inferring incomplete multi‐view clustering
A novel algorithm is proposed, named self‐inferring multi‐view clustering, to learn a common representation for all views while inferring the missing instances simultaneously. The missing instances of incomplete multi‐view data are replenished with zeros and exploited as variables and a feature graph is constructed for each view.
Junjun Fan+5 more
wiley +1 more source
Nonnegative Matrix Factorization with Transform Learning [PDF]
Traditional NMF-based signal decomposition relies on the factorization of spectral data, which is typically computed by means of short-time frequency transform. In this paper we propose to relax the choice of a pre-fixed transform and learn a short-time orthogonal transform together with the factorization.
Fagot, Dylan+2 more
openaire +4 more sources
Stimulated Raman Scattering with Optical Vortex Beams
This study presents exact analytical expressions for stimulated Raman scattering with Laguerre‐Gaussian beams, revealing signal dependence on topological and hyperbolic momentum. The results provide a theoretical foundation for coherent Raman imaging and detecting orbital angular momentum of light via structured light in nonlinear optics.
Minhaeng Cho
wiley +1 more source