1177 search results - page 59 / 236 » Iterative methods for Robbins problems |
108
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
121
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HPCN
1997
Springer
15 years 4 months ago
1997
Springer
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
98
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NIPS
2008
15 years 1 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
112
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CDC
2008
IEEE
15 years 7 months ago
2008
IEEE
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...