1547 search results - page 37 / 310 » Learning a Classification Model for Segmentation |
IEEEICCI
2002
IEEE
14 years 2 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper we present a novel method for foreground segmentation. Our proposed approach follows a nonparametric background modeling paradigm, thus the background is modeled by ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
UAI
2004
13 years 10 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
ICDAR
2007
IEEE
14 years 3 months ago
2007
IEEE
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...