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201
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CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 2 months ago
Sum-Product Networks: A New Deep Architecture
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
Hoifung Poon, Pedro Domingos
ICDCS
2012
IEEE
13 years 9 months ago
DARD: Distributed Adaptive Routing for Datacenter Networks
Datacenter networks typically have many paths connecting each host pair to achieve high bisection bandwidth for arbitrary communication patterns. Fully utilizing the bisection ban...
Xin Wu, Xiaowei Yang
211
Voted
TMC
2012
13 years 9 months ago
The Boomerang Protocol: Tying Data to Geographic Locations in Mobile Disconnected Networks
—We present the boomerang protocol to efficiently retain information at a particular geographic location in a sparse network of highly mobile nodes without using infrastructure ...
Tingting Sun, Bin Zan, Yanyong Zhang, Marco Grutes...
190
Voted
CVPR
2006
IEEE
16 years 8 months ago
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image
When we look at a picture, our prior knowledge about the world allows us to resolve some of the ambiguities that are inherent to monocular vision, and thereby infer 3d information...
Erick Delage, Honglak Lee, Andrew Y. Ng
ICML
2009
IEEE
16 years 7 months ago
On primal and dual sparsity of Markov networks
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
Jun Zhu, Eric P. Xing