52 search results - page 5 / 11 » Using Non-Negative Matrix Factorization for Removing Show-Th... |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...