Sciweavers

107 search results - page 2 / 22
» Descent methods for Nonnegative Matrix Factorization
Sort
View
IPM
2006
151views more  IPM 2006»
13 years 4 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
NIPS
2000
13 years 6 months ago
Algorithms for Non-negative Matrix Factorization
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two different multiplicative algorithms for NMF are analyzed....
Daniel D. Lee, H. Sebastian Seung
ICML
2005
IEEE
14 years 5 months ago
Non-negative tensor factorization with applications to statistics and computer vision
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 = ...
Amnon Shashua, Tamir Hazan
ICONIP
2007
13 years 6 months ago
Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factor
− This paper proposes an automatic factorization method of the biological signals measured by Fluorescence Correlation Spectroscopy (FCS). Since the signals are composed from sev...
Kenji Watanabe, Takio Kurita
CORR
2004
Springer
152views Education» more  CORR 2004»
13 years 4 months ago
Non-negative matrix factorization with sparseness constraints
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...
Patrik O. Hoyer