107 search results - page 14 / 22 » Descent methods for Nonnegative Matrix Factorization |
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
106
click to vote
CVPR
2009
IEEE
15 years 27 days ago
2009
IEEE
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
110
click to vote
ECML
2005
Springer
14 years 11 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
114
click to vote
ICANNGA
2007
Springer
15 years 3 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...
77
Voted
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...