79 search results - page 5 / 16 » Adaptive Online Gradient Descent |
SCALESPACE
1999
Springer
15 years 1 months ago
1999
Springer
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
81
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ISCAS
2006
IEEE
15 years 3 months ago
2006
IEEE
A robust system architecture to achieve optical coherency free optimization. Several methods that had been proposed in the in multiple-beam free-space laser communication links wit...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
109
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JMLR
2010
14 years 4 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...