1180 search results - page 5 / 236 » An Instance Selection Approach to Multiple Instance Learning |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
NIPS
2003
13 years 9 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
KELSI
2004
Springer
14 years 27 days ago
2004
Springer
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...