8 search results - page 1 / 2 » A flexible R package for nonnegative matrix factorization |
BMCBI
2010
13 years 5 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
BMCBI
2007
13 years 5 months ago
2007
Background: Detection of short, subtle conserved motif regions within a set of related DNA or amino acid sequences can lead to discoveries about important regulatory domains such ...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...