180 search results - page 15 / 36 » Learning to segment from a few well-selected training images |
VIP
2003
13 years 10 months ago
2003
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
DAS
2010
Springer
13 years 10 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...