999 search results - page 41 / 200 » Efficient Learning to Label Images |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
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TIP
2010
14 years 8 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
NIPS
1997
14 years 11 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. The aim of this paper is to learn driving behaviour by associating the actions recorded from a human driver with pre-attentive visual input, implemented using holistic im...