421 search results - page 5 / 85 » Reducing Label Complexity by Learning From Bags |
AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...
125
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CVPR
2009
IEEE
16 years 4 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.
...
ICTAI
2006
IEEE
15 years 3 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...
124
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SIGIR
2012
ACM
13 years 6 hour ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
BMVC
2010
14 years 7 months ago
2010
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...