56 search results - page 3 / 12 » Multi-Label Learning by Exploiting Label Correlations Locall... |
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
AAAI
2007
13 years 7 months ago
2007
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...