81 search results - page 6 / 17 » Nonnegative Matrix Factorization in Polynomial Feature Space |
BMCBI
2006
13 years 7 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
BMCBI
2006
13 years 7 months ago
2006
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
ICONIP
2007
13 years 9 months ago
2007
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
TASLP
2010
13 years 2 months ago
2010
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...