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UAI
2003
15 years 2 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
TOG
2002
167views more  TOG 2002»
15 years 12 days ago
Interactive control of avatars animated with human motion data
Real-time control of three-dimensional avatars is an important problem in the context of computer games and virtual environments. Avatar animation and control is difficult, howeve...
Jehee Lee, Jinxiang Chai, Paul S. A. Reitsma, Jess...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 5 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
JMLR
2012
13 years 3 months ago
A Bayesian Analysis of the Radioactive Releases of Fukushima
The Fukushima Daiichi disaster 11 March, 2011 is considered the largest nuclear accident since the 1986 Chernobyl disaster and has been rated at level 7 on the International Nucle...
Ryota Tomioka, Morten Mørup
103
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CVPR
1999
IEEE
16 years 2 months ago
A Multi-View Approach to Motion and Stereo
This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...
Richard Szeliski