17 search results - page 2 / 4 » Sparse representation using nonnegative curds and whey |
ISCAS
2008
IEEE
13 years 11 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
ICANNGA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
JMLR
2006
2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
13 years 4 months ago
We exploit the biconvex nature of the Euclidean non-negative matrix factorization (NMF) optimization problem to derive optimization schemes based on sequential quadratic and secon...
ICONIP
2007
13 years 6 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
IJON
2008
13 years 4 months ago
2008
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...