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ECML
2007
Springer
14 years 2 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
AAAI
2011
12 years 8 months ago
Stopping Rules for Randomized Greedy Triangulation Schemes
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
Andrew Gelfand, Kalev Kask, Rina Dechter
TON
2010
83views more  TON 2010»
13 years 6 months ago
Understanding and modeling the internet topology: economics and evolution perspective
Abstract—In this paper, we seek to understand the intrinsic reasons for the well-known phenomenon of heavy-tailed degree in the Internet AS graph and argue that in contrast to tr...
Xiaoming Wang, Dmitri Loguinov
ICRA
2006
IEEE
134views Robotics» more  ICRA 2006»
14 years 2 months ago
Hierarchical Map Building and Planning based on Graph Partitioning
— Mobile robot localization and navigation requires a map - the robot’s internal representation of the environment. A common problem is that path planning becomes very ineffic...
Zoran Zivkovic, Bram Bakker, Ben J. A. Kröse
KR
1994
Springer
14 years 17 days ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons