309 search results - page 15 / 62 » Smooth Optimization with Approximate Gradient |
86
Voted
SGP
2003
14 years 11 months ago
2003
Point sets become an increasingly popular shape representation. Most shape processing and rendering tasks require the approximation of a continuous surface from the point data. We...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
101
click to vote
JMLR
2006
14 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 ...
100
click to vote
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
As a well known fixed-point iteration algorithm for kernel
density mode-seeking, Mean-Shift has attracted wide attention
in pattern recognition field. To date, Mean-Shift algorit...