229 search results - page 27 / 46 » Learning spatial relations in object recognition |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...