1410 search results - page 30 / 282 » Learning to localize detected objects |
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visu...
ICMCS
2005
IEEE
14 years 3 months ago
2005
IEEE
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
ICCV
2005
IEEE
14 years 3 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...