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SIAMIS
2010
378views more  SIAMIS 2010»
12 years 11 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
JMLR
2010
119views more  JMLR 2010»
12 years 11 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
WCE
2007
13 years 5 months ago
Robot Motion Planning using Hyperboloid Potential Functions
—A new approach to robot path planning using hyperboloid potential functions is presented in this paper. Unlike parabolic potential functions, where the control force increases w...
A. Badawy, Colin R. McInnes
IJCAI
2003
13 years 5 months ago
Local-Effect Games
We present a new class of games, local-effect games (LEGs), which exploit structure in a different way from other compact game representations studied in AI. We show both theoreti...
Kevin Leyton-Brown, Moshe Tennenholtz
ICRA
2000
IEEE
104views Robotics» more  ICRA 2000»
13 years 9 months ago
Social Potentials for Scalable Multi-Robot Formations
Potential function approaches to robot navigation provide an elegant paradigm for expressing multiple constraints and goals in mobile robot navigation problems 9]. As an example, ...
Tucker R. Balch, Maria Hybinette