11 search results - page 2 / 3 » Descent Methods for Tuning Parameter Refinement |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
NIPS
2008
13 years 8 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We present a refined method for rotation estimation of signals on the 2-Sphere. Our approach utilizes a fast correlation in the harmonic domain to estimate rotation angle...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization....
CVPR
2008
IEEE
14 years 9 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. ...