31 search results - page 2 / 7 » Low-rank matrix factorization with attributes |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
IPM
2006
13 years 5 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...