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ECCV
2010
Springer
15 years 8 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
IJCAI
2003
15 years 7 months ago
First-order probabilistic inference
Most probabilistic inference algorithms are specified and processed on a propositional level. In the last decade, many proposals for algorithms accepting first-order specificat...
David Poole
ICRA
2002
IEEE
72views Robotics» more  ICRA 2002»
15 years 11 months ago
Distributed and Dynamic Task Reallocation in Robot Organizations
Task reallocation in a multi-robot organization is a process that distributes a decomposed global task to individual robots. This process must be distributed and dynamic because i...
Wei-Min Shen, Behnam Salemi
PRDC
2008
IEEE
16 years 23 days ago
On the Complexity of a Self-Stabilizing Spanning Tree Algorithm for Large Scale Systems
Many large scale systems, like grids and structured peer to peer systems, operate on a constrained topology. Since underlying networks do not expose the real topology to the appli...
Julien Clement, Thomas Hérault, Stép...
ALT
2007
Springer
16 years 3 months ago
On Calibration Error of Randomized Forecasting Algorithms
It has been recently shown that calibration with an error less than ∆ > 0 is almost surely guaranteed with a randomized forecasting algorithm, where forecasts are obtained by...
Vladimir V. V'yugin