609 search results - page 18 / 122 » Active Learning with Multiple Views |
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
CIVR
2006
Springer
13 years 12 months ago
2006
Springer
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
JSA
1998
13 years 7 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
PR
2007
13 years 7 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...