963 search results - page 18 / 193 » Active Learning by Labeling Features |
IJCV
2011
13 years 3 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...
MMM
2005
Springer
14 years 2 months ago
2005
Springer
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
TCS
2011
13 years 3 months ago
2011
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...