Results 101 to 110 of about 1,727,048 (195)

Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction

, 2016
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), Han Z(韩志), Tang YD(唐延东)   +2 more
core  

Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets

, 2006
Nonnegative Matrix Factorization (NMF) has proven to be a useful tool for the analysis of nonnegative multivariate data. However, it is known not to lead to unique results when applied to nonnegative Blind Source Separation (BSS) problems. In this paper
Langmann, T., Stadlthanner, K., Gomez-Vilda, P., E. W. Lang, C. G. Puntonet, Puntonet, C. G., A. M. Tomé, Tomé, A., P. Gómez Vilda, Theis, Fabian J., K. Stadlthanner, G. Schmitz, Lang, Elmar, Schmitz, G., T. Langmann, F. J. Theis   +15 more
core   +1 more source

Note Onset Detection via Nonnegative Factorization of Magnitude Spectrum

EURASIP Journal on Advances in Signal Processing, 2008
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, Jonathon A. Chambers, Yuhui Luo, Wenwu Wang   +3 more
doaj   +1 more source

Sparse Separable Nonnegative Matrix Factorization

, 2020
International audienceWe propose a new variant of nonnegative matrix factorization (NMF), combining separability and sparsity assumptions. Separability requires that the columns of the first NMF factor are equal to columns of the input matrix, while ...
Vandaele, Arnaud, Nadisic, Nicolas, Cohen, Jérémy, E, Gillis, Nicolas   +3 more
core  

Multichannel high resolution NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain [PDF]

, 2013
Badeau, Roland, Plumbley, Mark, Badeau, R, Plumbley, MD   +3 more
core   +1 more source

A multilevel approach for nonnegative matrix factorization [PDF]

Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particularly useful in many applications, e.g., in text mining, image processing ...
GILLIS, Nicolas, GLINEUR, François
core  

Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization

, 2016
A pseudo-marginal Markov chain Monte Carlo (PMCMC) method is proposed for nonnegative matrix factorization (NMF). The sampler jointly simulates the joint posterior distribution for the nonnegative matrices and the matrix dimensions which indicate the ...
Mingjun Zhong (17170786), Junfu Du (17213836)   +1 more
core   +3 more sources

Robust sparse nonnegative matrix factorization based on maximum correntropy criterion

, 2018
Nonnegative matrix factorization (NMF) is a significant matrix decomposition technique for learning parts-based, linear representation of nonnegative data, which has been widely used in a broad range of practical applications such as document clustering,
Badong Chen, Wee Ser, Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping, Siyuan Peng, Zhiping Lin   +7 more
core   +1 more source

Robust Nonnegative Matrix Factorization via $L_1$ Norm Regularization

, 2012
Nonnegative Matrix Factorization (NMF) is a widely used technique in many applications such as face recognition, motion segmentation, etc. It approximates the nonnegative data in an original high dimensional space with a linear representation in a low ...
Si, Luo, Shen, Bin, Liu, Baodi, Ji, Rong
core  

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization

EURASIP Journal on Advances in Signal Processing, 2005
We propose the use of nonnegative matrix factorization (NMF) as a model-independent methodology to analyze neural activity. We demonstrate that, using this technique, it is possible to identify local spatiotemporal patterns of neural activity in the ...
Nicolelis Miguel AL, Rao Yadunandana N, Sanchez Justin C, Erdogmus Deniz, Kim Sung-Phil, Principe Jose C   +5 more
doaj   +1 more source