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» Learning Bayesian Networks from Incomplete Databases
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MADNES
2005
Springer
15 years 7 months ago
Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results
With the rapid advance of the Internet, a large amount of sensitive data is collected, stored, and processed by different parties. Data mining is a powerful tool that can extract ...
Rebecca N. Wright, Zhiqiang Yang, Sheng Zhong
ICCV
1999
IEEE
15 years 5 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
IJCV
2000
164views more  IJCV 2000»
15 years 1 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 2 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 1 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore