616 search results - page 69 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
BVAI
2005
Springer
15 years 3 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
VISAPP
2008
14 years 11 months ago
2008
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...