40 search results - page 1 / 8 » Learning sparse covariance patterns for natural scenes |
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
BMCV
2000
Springer
13 years 9 months ago
2000
Springer
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...