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» A Scheme for Approximating Probabilistic Inference
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AAAI
2012
11 years 11 months ago
Generalized Sampling and Variance in Counterfactual Regret Minimization
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. Whi...
Richard G. Gibson, Marc Lanctot, Neil Burch, Duane...
CVPR
2009
IEEE
15 years 3 months ago
Rank Priors for Continuous Non-Linear Dimensionality Reduction
Non-linear dimensionality reductionmethods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly ...
Andreas Geiger (Karlsruhe Institute of Technology)...
BC
1998
117views more  BC 1998»
13 years 8 months ago
Where did I take that snapshot? Scene-based homing by image matching
In homing tasks, the goal is often not marked by visible objects but must be inferred from the spatial relation to the visual cues in the surrounding scene. The exact computation o...
Matthias O. Franz, Bernhard Schölkopf, Hanspe...
BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 3 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
ICIP
2000
IEEE
14 years 10 months ago
Model-Aided Coding of Multi-Viewpoint Image Data
The paper presents a novel coding technique based on approximate geometry for images taken from arbitrary recording positions around a 3-D scene. Such data structures occur in ima...
Marcus A. Magnor, Peter Eisert, Bernd Girod