510 search results - page 15 / 102 » Gradient Estimation Revitalized |
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
ECCV
1994
Springer
14 years 11 months ago
1994
Springer
This paper addresses the problem of computing cues to the three-dimensional structure of surfaces in the world directly from the local structure of the brightness pattern of a bino...
JMLR
2006
13 years 9 months ago
2006
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
ECML
2005
Springer
14 years 3 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...