119 citations · 137 across the 3 of their papers we have counts for
3 papers
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
Daphne Koller, Uri Lerner, Dragomir Anguelov
The clique tree algorithm is the standard method for doing inference in Bayesian networks. It works by manipulating clique potentials - distributions over the variables in a clique…
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
Dragomir Anguelov, Rahul Biswas, Daphne Koller +2
Building models, or maps, of robot environments is a highly active research area; however, most existing techniques construct unstructured maps and assume static environments. In t…
Recovering Articulated Object Models from 3D Range Data
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang +2
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 di…