99 search results - page 7 / 20 » Formulating Semantic Image Annotation as a Supervised Learni... |
MICCAI
2009
Springer
14 years 9 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
ACL
2011
12 years 11 months ago
2011
Compositional question answering begins by mapping questions to logical forms, but training a semantic parser to perform this mapping typically requires the costly annotation of t...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
ICCV
2011
IEEE
12 years 7 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...
PAMI
2008
13 years 7 months ago
2008
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel atte...