810 search results - page 131 / 162 » Learning to Segment Document Images |
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
CVPR
2007
IEEE
14 years 10 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...
MM
2006
ACM
14 years 2 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...