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KDD
2012
ACM
12 years 1 months ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
SDM
2012
SIAM
12 years 1 months ago
2012
SIAM
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
SIGIR
2000
ACM
14 years 3 months ago
2000
ACM
The proliferation of online information resources increases the importance of effective and efficient distributed searching. Distributed searching is cast in three parts – datab...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
In this work, we consider a distributed source coding problem with a joint distortion criterion depending on the sources and the reconstruction. This includes as a special case the...