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» Uncertainties in Bayesian Geometric Models
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88
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CGI
1999
IEEE
15 years 4 months ago
Visualizing Knowledge about Virtual Reconstructions of Ancient Architecture
One of the assumptions of current software for visualizing architecture is that the underlying geometry is a correct, objective, and complete representation of the objects in ques...
Thomas Strothotte, Maic Masuch, Tobias Isenberg
ACCV
2009
Springer
15 years 7 months ago
Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences
Abstract. Intensity based registration methods, such as the mutual information (MI), do not commonly consider the spatial geometric information and the initial correspondences are ...
Hongwei Zheng, Ioan Cleju, Dietmar Saupe
105
Voted
WSC
2007
15 years 2 months ago
Extension of the direct optimization algorithm for noisy functions
DIRECT (DIviding RECTangles) is a deterministic global optimization algorithm for bound-constrained problems. The algorithm, based on a space-partitioning scheme, performs both gl...
Geng Deng, Michael C. Ferris
106
Voted
TROB
2008
207views more  TROB 2008»
15 years 13 days ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 10 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone