280 search results - page 12 / 56 » Binary Matrix Factorization with Applications |
IEEEMSP
2002
IEEE
14 years 9 days ago
2002
IEEE
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
NIPS
2003
13 years 8 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...