297 search results - page 3 / 60 » Learning from Ambiguously Labeled Examples |
CVIU
2004
13 years 5 months ago
2004
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
EMMCVPR
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. We present an algorithm for automatically constructing a decompositional shape model from examples. Unlike current approaches to structural model acquisition, in which on...
ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
PRIB
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...