This edited book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest app...
The multi-modal or multi-view integration of data has generated a wide range of applicability in pat...
Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional model...
We discuss Non-negative Matrix Factorization (NMF) techniques from the point of view of Intelligent ...
This book collects new results, concepts and further developments of NMF. The open problems discusse...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
Abstract: In the last decade, advances in high-through-put technologies such as DNA microarrays have...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
9 pages, 4 figures.[Background] In the Bioinformatics field, a great deal of interest has been given...
Nonnegative Matrix Factorization (NMF) revealed to be useful for analysing microarray data and extr...
Background: Nonnegative Matrix Factorization ( NMF) is an unsupervised learning technique that has b...
Non-negative matrix factorization (NMF) is a relatively new approach to analyze gene expression data...
BACKGROUND: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has be...
Abstract Nonnegative Matrix Factorization (NMF) has been proved to be valuable in many ap-plications...
• NMF: an unsupervised family of algorithms that simultaneously perform dimension reduction and clus...
Non-negative matrix factorisation (NMF) is attractive in data analysis because it can produce a spar...
The multi-modal or multi-view integration of data has generated a wide range of applicability in pat...
Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional model...
We discuss Non-negative Matrix Factorization (NMF) techniques from the point of view of Intelligent ...
This book collects new results, concepts and further developments of NMF. The open problems discusse...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
Abstract: In the last decade, advances in high-through-put technologies such as DNA microarrays have...
Nonnegative Matrix Factorization (NMF) is a class of low-rank dimensionality reduction methods whic...
9 pages, 4 figures.[Background] In the Bioinformatics field, a great deal of interest has been given...
Nonnegative Matrix Factorization (NMF) revealed to be useful for analysing microarray data and extr...
Background: Nonnegative Matrix Factorization ( NMF) is an unsupervised learning technique that has b...
Non-negative matrix factorization (NMF) is a relatively new approach to analyze gene expression data...
BACKGROUND: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has be...
Abstract Nonnegative Matrix Factorization (NMF) has been proved to be valuable in many ap-plications...
• NMF: an unsupervised family of algorithms that simultaneously perform dimension reduction and clus...
Non-negative matrix factorisation (NMF) is attractive in data analysis because it can produce a spar...
The multi-modal or multi-view integration of data has generated a wide range of applicability in pat...
Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional model...
We discuss Non-negative Matrix Factorization (NMF) techniques from the point of view of Intelligent ...