Results 81 to 90 of about 7,904 (176)
Descent methods for Nonnegative Matrix Factorization [PDF]
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method called Rank-one Residue Iteration (RRI).
Blondel, Vincent D. +2 more
core +2 more sources
Abstract Clonal hematopoiesis (CH), a prevalent and premalignant state in the elderly, has been detected in young individuals under selective pressures such as hematopoietic cell transplantation (HCT). However, the origin of CH and mutational processes underlying CH driver mutations in young blood systems remain unclear.
Lucca L. M. Derks +11 more
wiley +1 more source
Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering
As a typical variation of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) is capable of exploiting information of the cluster embedded in the matrix of similarity.
Wei Yan +3 more
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
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
Nonnegative factorization and the maximum edge biclique problem [PDF]
Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix with a product of two nonnegative factors, which allows compression and interpretation of nonnegative data. In this paper, we study the
GILLIS, Nicolas, GLINEUR, François
core
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
We propose a two-step algorithm for the construction of a Hidden Markov Model (HMM) of assigned size, i.e. cardinality of the state space of the underlying Markov chain, whose $n$-dimensional distribution is closest in divergence to a given distribution.
Finesso, L., Grassi, A., Spreij, P.
core
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
Diffuse Optical Imaging Using Decomposition Methods
Diffuse optical imaging (DOI) for detecting and locating targets in a highly scattering turbid medium is treated as a blind source separation (BSS) problem.
Binlin Wu +4 more
doaj +1 more source

