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IAT
2006
IEEE
15 years 7 months ago
Representing Context for Multiagent Trust Modeling
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (contextdependent) tr...
Martin Rehák, Milos Gregor, Michal Pechouce...
CVPR
2001
IEEE
16 years 3 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 7 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
SMI
2008
IEEE
255views Image Analysis» more  SMI 2008»
15 years 7 months ago
GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme
In this paper, we introduce a parallel numerical scheme, the lattice Boltzmann method, to shape modeling applications. The motivation of using this originally-designed fluid dyna...
Ye Zhao
CIRA
2007
IEEE
130views Robotics» more  CIRA 2007»
15 years 7 months ago
Compliant Formation Control of a Multi-Vehicle System
— This research identifies a strategy called compliant formation control, which may be used to coordinate the navigational structure of a team of autonomous vehicles. This techni...
Erica Z. MacArthur, Carl D. Crane III