Results 91 to 100 of about 1,628,183 (185)
Local damage detection in rotating machine elements is very important problem widely researched in the literature. One of the most common approaches is the vibration signal analysis.
Wodecki Jacek
doaj +1 more source
Precision pollution control relies on accurate spatial interpolation and quantitative source apportionment. This study addresses key methodological gaps by developing two novel tools: a non-negative constrained biharmonic spline interpolation algorithm ...
Qinqin Yu +9 more
doaj +1 more source
Quantized Nonnegative Matrix Factorization [PDF]
Even though Nonnegative Matrix Factorization (NMF) in its original form performs rank reduction and signal compaction implicitly, it does not explicitly consider storage or transmission constraints.
de Fréin, Ruairí +2 more
core +1 more source
Robust Non-negative Matrix Factorization Clustering Algorithm with Dual-Graph Regularization [PDF]
Non-negative matrix factorization (NMF), as an effective approach for data representation and dimensionality reduction, has been extensively utilized in domains such as image processing and text clustering.
GAO Haiyan, LIU Mengshu, ZHOU Gaigai, ZHONG Ling
doaj +1 more source
A Hybrid Algorithm for Estimating Origin-Destination Flows
With the development of intelligent transportation systems, the estimation of traffic flow in urban areas has attracted a great attention of researchers.
Xianghua Li +5 more
doaj +1 more source
Multichannel high resolution NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain [PDF]
Badeau, Roland, Plumbley, Mark
core +4 more sources
Note Onset Detection via Nonnegative Factorization of Magnitude Spectrum
A novel approach for onset detection of musical notes from audio signals is presented. In contrast to most commonly used conventional approaches, the proposed method features new detection functions constructed from the linear temporal bases that are ...
Saeid Sanei +3 more
doaj +1 more source
On the geometric interpretation of the nonnegative rank [PDF]
The nonnegative rank of a nonnegative matrix is the minimum number of nonnegative rank-one factors needed to reconstruct it exactly. The problem of determining this rank and computing the corresponding nonnegative factors is difficult; however it has ...
GILLIS, Nicolas, GLINEUR, François
core
Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction
As a linear dimensionality reduction method, nonnegative matrix factorization (NMF) has been widely used in many fields, such as machine learning and data mining.
Li BF(李冰锋) +2 more
core
Nonnegative Matrix Factorization Problem
The Nonnegative Matrix Factorization (NMF) problem has been widely used to analyze high-dimensional nonnegative data and extract important features. In this paper, I review major concepts regarding NMF, some NMF algorithms and related problems including ...
An, Junda
core

