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CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
16 years 1 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
IV
2009
IEEE
187views Visualization» more  IV 2009»
16 years 1 months ago
Dynamic Mapping of Raster-Data for 3D Geovirtual Environments
Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes st...
Matthias Trapp, Jürgen Döllner
SUM
2009
Springer
16 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
ACMACE
2009
ACM
16 years 1 months ago
Camera-based interactions for augmented reality
We investigate camera-based interaction techniques suitable for generating simple, easy-to-use augmented reality applications. All the interaction techniques described are based o...
Tatu Harviainen, Otto Korkalo, Charles Woodward