215 search results - page 4 / 43 » Sums of squares based approximation algorithms for MAX-SAT |
89
Voted
SADM
2008
14 years 9 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
15 years 11 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
14 years 9 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
15 years 1 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
15 years 4 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...