215 search results - page 4 / 43 » Sums of squares based approximation algorithms for MAX-SAT |
SADM
2008
13 years 7 months ago
2008
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
For the non-local denoising approach presented by Buades et al., remarkable denoising results are obtained at high expense of computational cost. In this paper, a new algorithm th...
ALGORITHMICA
1999
13 years 7 months ago
1999
In this paper, we consider the following question: what is the maximum number of entries that can be added to a partially lled latin square? The decision version of this question ...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...