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ICANN
2009
Springer
13 years 9 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
13 years 11 months ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold
CVPR
1999
IEEE
13 years 10 months ago
A Volumetric Stereo Matching Method: Application to Image-Based Modeling
We formulate stereo matching as an extremal surface extraction problem. This is made possible by embedding the disparity surface inside a volume where the surface is composed of v...
Qian Chen, Gérard G. Medioni
AINA
2008
IEEE
14 years 1 days ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
VVS
1996
IEEE
129views Visualization» more  VVS 1996»
13 years 9 months ago
Optimal Isosurface Extraction from Irregular Volume Data
A method is proposed which supports the extraction of isosurfaces from irregular volume data, represented by tetrahedral decomposition, in optimal time. The method is based on a d...
Paolo Cignoni, Claudio Montani, Enrico Puppo, Robe...