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» Improving Gradient Estimation by Incorporating Sensor Data
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UAI
2008
13 years 5 months ago
Improving Gradient Estimation by Incorporating Sensor Data
An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
Gregory Lawrence, Stuart J. Russell
EJASP
2010
133views more  EJASP 2010»
12 years 10 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...
ICIP
2003
IEEE
14 years 5 months ago
Improving phase-unwrapping result of InSAR images by incorporating the fractal model
This paper presents a novel method to reduce the phaseunwrapping (PU) distortion by being based on twodimensional fractional Brownian motion (fBm) theory. The method incorporates ...
Andriyan Bayu Suksmono, Akira Hirose
TVCG
2011
126views more  TVCG 2011»
12 years 10 months ago
A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes
—This paper presents a study of gradient estimation methods for rendering unstructured-mesh volume data. Gradient estimation is necessary for rendering shaded isosurfaces and spe...
Carlos D. Correa, Robert Hero, Kwan-Liu Ma
ISER
2000
Springer
147views Robotics» more  ISER 2000»
13 years 7 months ago
Incorporation of Delayed Decision Making into Stochastic Mapping
Abstract: This paper presents a technique for incorporating delayed decision making into stochastic mapping algorithms for concurrent mapping and localization. The approach explici...
John J. Leonard, Richard J. Rikoski