44 search results - page 3 / 9 » Learning What and How of Contextual Models for Scene Labelin... |
IJCV
2008
13 years 5 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
JMLR
2010
13 years 11 days ago
2010
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
NIPS
2004
13 years 7 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
CCIA
2005
Springer
13 years 11 months ago
2005
Springer
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...