146 search results - page 7 / 30 » Learning to rank with multiple objective functions |
96
Voted
LREC
2008
15 years 1 months ago
2008
We report about a project which brings together Natural Language Processing and eLearning. One of the functionalities developed within this project is the possibility to annotate ...
78
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
ICML
1998
IEEE
16 years 12 days ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
PAMI
2011
14 years 6 months ago
2011
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
101
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HIS
2007
15 years 1 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...