7 search results - page 1 / 2 » Factor Analysis of Incidence Data via Novel Decomposition of... |
ICFCA
2009
Springer
14 years 4 months ago
2009
Springer
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...
ICASSP
2011
IEEE
13 years 1 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...
ICA
2012
Springer
12 years 5 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
SDM
2012
SIAM
12 years 11 days ago
2012
SIAM
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...