319 search results - page 3 / 64 » Unified Solution to Nonnegative Data Factorization Problems |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
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 particul...
CSDA
2010
13 years 5 months ago
2010
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
CORR
2004
Springer
13 years 5 months ago
2004
Springer
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
ICDM
2007
IEEE
14 years 3 days ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...