26 search results - page 1 / 6 » Non-negative tensor factorization with applications to stati... |
167
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
166
click to vote
ICCV
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
151
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
132
click to vote
ICCV
2005
IEEE
16 years 7 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
152
click to vote
ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of t...