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CAGD
2006
167views more  CAGD 2006»
13 years 8 months ago
Discrete surface modelling using partial differential equations
We use various nonlinear partial differential equations to efficiently solve several surface modelling problems, including surface blending, N-sided hole filling and free-form sur...
Guoliang Xu, Qing Pan, Chandrajit L. Bajaj
NIPS
2007
13 years 9 months ago
Collapsed Variational Inference for HDP
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
Yee Whye Teh, Kenichi Kurihara, Max Welling
ASPDAC
2008
ACM
70views Hardware» more  ASPDAC 2008»
13 years 10 months ago
VEBoC: Variation and error-aware design for billions of devices on a chip
Shoaib Akram, Scott Cromar, Gregory Lucas, Alexand...
ICONIP
2007
13 years 9 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 3 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe