107 search results - page 4 / 22 » Descent methods for Nonnegative Matrix Factorization |
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...
JMLR
2012
11 years 9 months ago
2012
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
AAAI
2010
13 years 8 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
ECML
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. In this paper, dimensionality reduction via matrix factorization with nonnegativity constraints is studied. Because of these constraints, it stands apart from other linea...