111 search results - page 21 / 23 » Discriminative K-SVD for Dictionary Learning in Face Recogni... |
TCSV
2008
13 years 7 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
MVA
2007
13 years 9 months ago
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We address the character identification problem in
movies and television videos: assigning names to faces on
the screen. Most prior work on person recognition in video
assumes s...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...