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3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
14 years 4 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
UAI
2008
13 years 11 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
UAI
2003
13 years 11 months ago
An Empirical Study of w-Cutset Sampling for Bayesian Networks
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...
Bozhena Bidyuk, Rina Dechter
IJAR
2008
83views more  IJAR 2008»
13 years 10 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
NECO
1998
119views more  NECO 1998»
13 years 9 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi