Results 51 to 60 of about 1,727,048 (195)

Quantized Nonnegative Matrix Factorization [PDF]

, 2014
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, de Fréin, Ruairí,, Ruairi de Frein   +2 more
core   +1 more source

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation

Complexity, 2018
Obtaining an optimum data representation is a challenging issue that arises in many intellectual data processing techniques such as data mining, pattern recognition, and gene clustering.
Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang   +4 more
doaj   +1 more source

Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation

IEEE Access, 2019
Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields.
Lin Zhang, Zhonghua Liu, Lin Wang, Jiexin Pu   +3 more
doaj   +1 more source

Single‐Cell Transcriptomic Identification of Drug‐Tolerant Persister Mechanisms in Capecitabine‐Treated Triple‐Negative Breast Cancer

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Triple‐negative breast cancer (TNBC) is an aggressive subtype defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. This lack of receptors limits targeted therapies and contributes to high rates of recurrence.
Md Naiyem Islam, Md Kaziul Islam Sarkar Suja, Alif Al Takbir, Md. Kaderi Kibria   +3 more
wiley   +1 more source

Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target

, 2013
Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix ...
Mark Lutman, Bleeck, S., Hu, Hongmei, Lutman, M.E., Agamemnon Krasoulis, Krasoulis, A., Hongmei Hu, Stefan Bleeck   +7 more
core   +1 more source

A flexible R package for nonnegative matrix factorization

BMC Bioinformatics, 2010
Background Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining. Recent applications of NMF in bioinformatics have
Seoighe Cathal, Gaujoux Renaud
doaj   +1 more source

Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing Incorporating Endmember Independence

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral unmixing (HU) has become an important technique in exploiting hyperspectral data since it decomposes a mixed pixel into a collection of endmembers weighted by fractional abundances.
E. M. M. B. Ekanayake, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe, S. Herath, B. Rathnayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath   +7 more
doaj   +1 more source

Image‐Based Multivariate Curve Resolution and Scalar Field Analysis of ERA5 Precipitation Over the Iberian Peninsula

Journal of Chemometrics, Volume 40, Issue 11, November 2026.
ABSTRACT Gridded climate reanalysis datasets can be viewed as image cubes, yet chemometric decomposition methods remain underutilized in climate data analysis. This study applied pixel‐based Multivariate Curve Resolution–Alternating Least Squares (MCR‐ALS) with a trilinearity constraint to ERA5 precipitation data over the Iberian Peninsula (1940–2024).
Stefan Platikanov, Antoni Ginebreda, Romà Tauler   +2 more
wiley   +1 more source

A Constrained Sparse Algorithm for Nonnegative Matrix Factorization

工程科学与技术, 2015
:Aiming at the lack of sparseness of factorization matrix in the nonnegative matrix factorization (NMF) algorithm,a new constrained NMF algorithm was proposed.A sparseness constraint was added to the original nonnegative matrix factorization (NMF ...
李臣明, 张师明, 李昌利
doaj  

Nonnegative matrix factorization: an analytical and interpretive tool in computational biology. [PDF]

PLoS Computational Biology, 2008
In the last decade, advances in high-throughput technologies such as DNA microarrays have made it possible to simultaneously measure the expression levels of tens of thousands of genes and proteins.
Karthik Devarajan
doaj   +1 more source