510 search results - page 14 / 102 » Gradient Estimation Revitalized |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
ISCAS
1999
IEEE
14 years 2 months ago
1999
IEEE
Analog adaptive filters with digitally programmable coefficients can provide speed, power, and area advantages over digital adaptive filters while overcoming the dc offset problem...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...
HUMO
2007
Springer
13 years 11 months ago
2007
Springer
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
NIPS
2008
13 years 11 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...