146 search results - page 12 / 30 » Learning to rank with multiple objective functions |
NIPS
2008
15 years 1 months ago
2008
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
125
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
101
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MICRO
2008
IEEE
15 years 6 months ago
2008
IEEE
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...