171 search results - page 24 / 35 » A Boosting Approach to Multiple Instance Learning |
IDA
2005
Springer
14 years 1 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
ISM
2008
IEEE
14 years 2 months ago
2008
IEEE
Advances in video technology are being incorporated into today’s medical research and education. Medical videos contain important medical events, such as diagnostic or therapeut...
PR
2007
13 years 7 months ago
2007
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...