26 search results - page 1 / 6 » Multi-Level Active Prediction of Useful Image Annotations fo... |
NIPS
2008
13 years 6 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
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
...
IJCV
2011
12 years 11 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
MM
2004
ACM
13 years 10 months ago
2004
ACM
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...