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» Hierarchical Mixture Models for Nested Data Structures
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CVPR
2012
IEEE
13 years 5 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
ISVC
2007
Springer
15 years 9 months ago
An Anti-aliasing Technique for Voxel-Based Massive Model Visualization Strategies
CAD models of industrial installations usually have hundreds of millions of triangles. For this reason they cannot be interactively rendered in the current generation of computer h...
Gustavo N. Wagner, Alberto Raposo, Marcelo Gattass
IS
2006
15 years 3 months ago
A methodology for clustering XML documents by structure
The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations ...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
JMLR
2012
13 years 5 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
CVPR
2008
IEEE
16 years 5 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...