663 search results - page 74 / 133 » Geo-located image analysis using latent representations |
ICMCS
2005
IEEE
14 years 4 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...
DRR
2009
13 years 8 months ago
2009
The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the...
ICDAR
2011
IEEE
12 years 10 months ago
2011
IEEE
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
IJCV
2010
13 years 9 months ago
2010
This paper introduces a new texture analysis scheme, which is invariant to local geometric and radiometric changes. The proposed methodology relies on the topographic map of images...
ICCV
1999
IEEE
14 years 3 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...