118 search results - page 1 / 24 » Multi-label SVM active learning for image classification |
ECIR
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
CLEF
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
CVPR
2009
IEEE
14 years 11 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
...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...