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192
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
130
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SIGECOM
2010
ACM
15 years 8 months ago
2010
ACM
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
151
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
150
Voted
KDD
2010
ACM
15 years 5 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
171
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...