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» A Bayesian Approach to Tackling Hard Computational Problems
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DGO
2011
237views Education» more  DGO 2011»
14 years 5 months ago
Modeling digital preservation capabilities in enterprise architecture
The rising awareness of the challenges of preserving information over the long term has led to a wealth of initiatives developing economic models, methods, tools, systems, guideli...
Christoph Becker, Gonçalo Antunes, Jos&eacu...
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 1 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ICIP
2001
IEEE
16 years 7 months ago
The curvelet transform for image denoising
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...
Emmanuel J. Candès
VISUALIZATION
2005
IEEE
15 years 11 months ago
View-Dependent Rendering of Multiresolution Texture-Atlases
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...
Henrik Buchholz, Jürgen Döllner
ATAL
2007
Springer
15 years 11 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone