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JMLR
2012
13 years 5 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
137
Voted
SODA
2012
ACM
217views Algorithms» more  SODA 2012»
13 years 5 months ago
Deterministic construction of an approximate M-ellipsoid and its applications to derandomizing lattice algorithms
We give a deterministic O(log n)n -time and space algorithm for the Shortest Vector Problem (SVP) of a lattice under any norm, improving on the previous best deterministic nO(n) -...
Daniel Dadush, Santosh Vempala
157
Voted
IJHPCA
2011
201views more  IJHPCA 2011»
14 years 10 months ago
The International Exascale Software Project roadmap
  Over the last twenty years, the open source community has provided more and more software on which the world’s High Performance Computing (HPC) systems depend for performance ...
Jack Dongarra, Peter H. Beckman, Terry Moore, Patr...
219
Voted
SCHEDULING
2011
14 years 10 months ago
On robust online scheduling algorithms
While standard parallel machine scheduling is concerned with good assignments of jobs to machines, we aim to understand how the quality of an assignment is affected if the jobsâ€...
Michael Gatto, Peter Widmayer
CVPR
2011
IEEE
14 years 10 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...