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119
Voted
CORR
2002
Springer
15 years 3 months ago
2002
Springer
The problem of making sequential decisions in unknown probabilistic environments is studied. In cycle t action yt results in perception xt and reward rt, where all quantities in g...
128
Voted
STOC
2007
ACM
16 years 3 months ago
2007
ACM
In the reordering buffer problem, we are given an input sequence of requests for service each of which corresponds to a point in a metric space. The cost of serving the requests h...
235
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
133
Voted
SIGIR
2008
ACM
15 years 3 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
155
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SIAMIS
2010
14 years 10 months ago
2010
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...