39 search results - page 2 / 8 » Multiple Instance Metric Learning from Automatically Labeled... |
123
click to vote
ICML
2008
IEEE
16 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...
196
click to vote
CVPR
2009
IEEE
17 years 3 days 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.
...
195
Voted
AAAI
2007
15 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...
142
click to vote
ALT
2001
Springer
16 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...
156
Voted
ICTAI
2006
IEEE
15 years 11 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...