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JMLR
2012
13 years 6 months ago
Primal-Dual methods for sparse constrained matrix completion
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
Yu Xin, Tommi Jaakkola
152
Voted
ICPR
2008
IEEE
16 years 5 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
IJCAI
1989
15 years 5 months ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran
AAAI
2000
15 years 5 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
MMAS
2010
Springer
14 years 11 months ago
A Fast Multigrid Algorithm for Energy Minimization under Planar Density Constraints
The two-dimensional layout optimization problem reinforced by the efficient space utilization demand has a wide spectrum of practical applications. Formulating the problem as a non...
Dorit Ron, Ilya Safro, Achi Brandt