81 search results - page 1 / 17 » Mining Discriminative Co-occurrence Patterns for Visual Reco... |
CVPR
2011
IEEE
12 years 12 months ago
2011
IEEE
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
TMM
2010
12 years 11 months ago
2010
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
AUSDM
2007
Springer
13 years 10 months ago
2007
Springer
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
CVPR
2011
IEEE
13 years 20 days ago
2011
IEEE
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...