20 search results - page 1 / 4 » Predicting Unseen Labels Using Label Hierarchies in Large-Sc... |
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
CLEF
2009
Springer
13 years 8 months ago
2009
Springer
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...