59 search results - page 5 / 12 » Multiple-Instance Learning of Real-Valued Data |
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 ...
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
CVPR
2009
IEEE
15 years 2 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...