39 search results - page 2 / 8 » Multiple Instance Metric Learning from Automatically Labeled... |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
AAAI
2007
13 years 7 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
ALT
2001
Springer
14 years 1 months ago
2001
Springer
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
ICTAI
2006
IEEE
13 years 10 months ago
2006
IEEE
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...