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IJRR
2010
114views more  IJRR 2010»
13 years 7 months ago
Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
Abstract The problem of generating uniform deterministic samples over the rotation group, SO(3), is fundamental to many fields, such as computational structural biology, robotics,...
Anna Yershova, Swati Jain, Steven M. LaValle, Juli...
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 9 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
ICML
2007
IEEE
14 years 9 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
JAMDS
2000
61views more  JAMDS 2000»
13 years 8 months ago
A coupling technique for stochastic comparison of functions of Markov Processes
The aim of this work is to obtain explicit conditions (i.e., conditions on the transition rates) for the stochastic comparison of Markov Processes. A general coupling technique is ...
M. Doisy
CVPR
2011
IEEE
13 years 4 months ago
Discrete-Continuous Optimization for Large-scale Structure from Motion
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...