7 search results - page 1 / 2 » Factor Analysis of Incidence Data via Novel Decomposition of... |
ICFCA
2009
Springer
13 years 11 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
12 years 8 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 3 days 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
11 years 7 months 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 6 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...