6 search results - page 1 / 2 » MILES: Multiple-Instance Learning via Embedded Instance Sele... |
PAMI
2006
13 years 7 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
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...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...