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UAI
2004
13 years 7 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
BMCBI
2010
178views more  BMCBI 2010»
13 years 6 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
ICDCN
2009
Springer
14 years 1 months ago
Byzantine-Resilient Convergence in Oblivious Robot Networks
Given a set of robots with arbitrary initial location and no agreement on a global coordinate system, convergence requires that all robots asymptotically approach the exact same, ...
Zohir Bouzid, Maria Gradinariu Potop-Butucaru, S&e...
MOBIQUITOUS
2007
IEEE
14 years 17 days ago
Minimum Disruption Service Composition and Recovery over Mobile Ad Hoc Networks
— The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can minimize the effect of service disruptions. Alth...
Shanshan Jiang, Yuan Xue, Douglas C. Schmidt
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
13 years 11 months ago
The unavailable candidate model: a decision-theoretic view of social choice
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
Tyler Lu, Craig Boutilier