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» Learning a Restricted Bayesian Network for Object Detection
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ICML
2004
IEEE
14 years 8 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
ICARCV
2006
IEEE
164views Robotics» more  ICARCV 2006»
14 years 1 months ago
Fast Object Extraction from Bayesian Occupancy Grids using Self Organizing Networks
— Despite their popularity, occupancy grids cannot be directly applied to problems where the identity of the objects populating an environment needs to be taken into account (eg ...
Dizan Vasquez, Fabrizio Romanelli, Thierry Fraicha...
ACML
2009
Springer
14 years 2 months ago
Community Detection on Weighted Networks: A Variational Bayesian Method
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...
Qixia Jiang, Yan Zhang, Maosong Sun
ICDAR
2007
IEEE
14 years 1 months ago
A Bayesian Network Approach to Mode Detection for Interactive Maps
This paper describes a mode detection system for online pen input that employs a Bayesian network to combine classification results and context information. Previous monolithic c...
Don Willems, Louis Vuurpijl
ICMLA
2007
13 years 9 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira