319 search results - page 6 / 64 » Unified Solution to Nonnegative Data Factorization Problems |
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper deals with the minimal polyadic decomposition (also known as canonical decomposition or Parafac) of a 3way array, assuming each entry is positive. In this case, the low...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
ISCAS
2008
IEEE
14 years 1 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...