5 search results - page 1 / 1 » Optimistic pruning for multiple instance learning |
PRL
2008
13 years 11 months ago
2008
This paper introduces a simple evaluation function for multiple instance learning that admits an optimistic pruning strategy. We demonstrate comparable results to state of the art...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
ICDM
2010
IEEE
13 years 8 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, ...
ICPR
2004
IEEE
15 years 7 days ago
2004
IEEE
This work is about scene interpretation in the sense of detecting and localizing instances from multiple object classes. We concentrate on object indexing: generate an over-comple...